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Intrinsic response properties of auditory thalamic neurons in the Gerbil (Meriones unguiculatus)
(2007)
Neurons in the medial geniculate body (MGB) have the complex task of processing the auditory ascending information from the periphery and a more extensive descending input from the cortex. Differences in the pattern of afferent and efferent neuronal connections suggest that neurons in the ventral and dorsal divisions of the MGB take different roles in this complex task. The ventral MGB (vMGB) is the primary, tonotopic, division and the dorsal MGB (dMGB) is one of the higher order, nontonotopic divisions. The vMGB neurons are arranged tonotopically, have sharp tuning properties, and a short response delay to acoustic stimuli. The dMGB neurons are not tonotopically arranged, have broad tuning properties, and a long response delay to acoustical stimuli. These two populations of neurons, with inherently different tasks, may display differences in intrinsic physiological properties, e.g. the capacity to integrate information on a single cell level. Neurons of the ventral and dorsal divisions of the MGB offer an ideal system to explore and compare the intrinsic neuronal properties related to auditory processing. Coronal slices of 200 μm thicknesses were prepared from the thalamus of 4 - 5 week old gerbils. The current-clamp configuration of the patch-clamp technique was used to do experiments on the dorsal and ventral divisions of the medial geniculate body. Slices were subsequently Nissl stained to verify the location of recording. Recordings from the dorsal and ventral divisions exhibited differences in response to depolarizing current injections. The ventral division responded with significantly shorter first spike latency (vMGB = 41.50 ± 7.7, dMGB = 128.43 ± 16.28; (p < 0.01)) and rise time constant (vMGB = 6.95 ± 0.90, dMGB = 116.67 ± 0.13; (p < 0.01)) than the dMGB. Neurons in the dorsal division possessed a larger proportion of slowly accommodating neurons (rapidly accommodating: vMGB: 89%, dMGB: 64%), including a subpopulation of neurons that fired at resting membrane potential. Neurons in the vMGB are primarily responsible for relaying primary auditory input. Dorsal MGB neurons relay converging multimodal input. A comparative analysis with the primary auditory neurons, the Type I and Type II spiral ganglion neurons, reveals a similar pattern. Type I neurons relay primary auditory input and exhibit short first spike latencies and rise time constants. The Type II neurons relay converging input from many sources, while possessing significantly slower response properties and a greater subpopulation of slowly accommodating neurons. Hence, accommodation, first spike latency, and rise time constant are suggested to be a reflection of the amount of input that must be integrated before an action potential can be fired. More converging input correlates to slower accommodation, a longer first spike latency and rise time. Conversely, a greater capacity to derive discrete input is associated with rapid accommodation, along with a short first spike latency and rise time.
Visual information is processed hierarchically in the human visual system. Early during processing basic features are analysed separately while at later stages of processing, they are integrated into a unified percept. By investigating a basic visual feature and following its integration at different levels of processing one can identify specific patterns. In certain visual impairments, these patterns can function defectively and their detailed study can clarify the cause of the visual deficit. Here we investigate orientation as a basic feature and use a property of the visual system called adaptation. Adaptation occurs as a decrease in the level of neural activity during repetitive presentation of the same stimulus. Psychophysical studies have shown that adaptation transfers interocularly, meaning that if only one eye is adapted the other eye shows also adaptation effects. Our aim was to investigate interocular transfer by means of functional magnetic resonance imaging (fMRI). Even though adaptation was demonstrated in the fMRI environment, the interocular transfer was never investigated in such a setup. First, we developed a method to measure interocular transfer of adaptation to gratings with fMRI. We then went further to test it in various groups of subjects. In normally sighted humans interocular transfer was present both in early (striate) as well as later visual areas (extrastriate). In subjects with impaired stereovision (with or without normal visual acuity) interocular transfer was absent in the investigated regions. Detailed analysis of the recorded differences between subjects with and subjects without stereovision was performed. The results of this analysis are presented in detail in this book. These results suggest that the neuronal mechanisms involved in the interocular transfer of pattern adaptation share, at least in part, the neural circuitry underlying binocular functions and stereopsis. We conclude that fMRI adaptation can be used for the assessment of cortical binocularity in humans with normal and impaired stereopsis. Further investigations are needed to address more subtle aspects of the lack of interocular transfer. Towards this purpose, through a fourth experiment we propose further directions that might shed more light on the issue of stereovision and its clinical implications. We show that carefully tuned variations in our experimental procedure might reveal other aspects of binocularity in the human visual system. We believe that the method we developed, apart from the interesting results shown here, has a high potential to be further used for other research questions. Following the above summarized ideas, the thesis comprises of three parts (chapters). The first chapter provides the main theoretical backgrounds of the visual system and of the MRI imaging technique, chapter two describes the experimental procedures while the results and their detailed discussion are detailed in chapter three.
The single unit doctrine proposes that each one of our percepts and sensations is represented by the activity of specialized high-level cells in the brain. A common criticism applied to this proposal is the one referred to as the "combinatorial problem". We are constantly confronted with unlimited combinations of elements and features, and yet we face no problem in recognizing patterns and objects present in visual scenes. Are there enough neurons in the brain to singly code for each one of our percepts? Or is it the case that perceptions are represented by the distributed activity of different neuronal ensembles? We lack a general theory capable of explaining how distributed information can be efficiently integrated into single percepts. The working hypothesis here is that distributed neuronal ensembles signal relations present in the stimulus by selectively synchronizing their spiking responses. Synchronization is generally associated with oscillatory activity in the brain. Gamma oscillations in particular have been linked to various integrative processes in the visual system. Studies in anesthetized animals have shown a conspicuous increase in power for the gamma frequency band (30 to 60 Hz) in response to visual stimuli. Recently, these observations have been extended to behavioral studies which addressed the role of gamma activity in cognitive processes demanding selective attention. The initial motivation for carrying out this work was to test if the binding-by-synchronization (BBS) hypothesis serves as a neuronal mechanism for perceptual grouping in the visual system. To this aim we used single and superimposed grating stimuli. Superimposed gratings (plaids) are bi-stable stimuli capable of eliciting different percepts depending on their physical characteristics. In this way, plaids can be perceived either as a single moving surface (pattern plaids), or as two segregated surfaces drifting in different directions (component plaids). While testing the BBS hypothesis, we performed various experiments which addressed the role of both stimulus and cortical architecture on the properties of gamma oscillations in the primary visual cortex (V1) of monkeys. Additionally, we investigated whether gamma activity could also be modulated by allocating attention in time. Finally, we report on gamma-phase shifts in area V1, and how they depend on the level of neuronal activation. ...
Echolocation allows bats to orientate in darkness without using visual information. Bats emit spatially directed high frequency calls and infer spatial information from echoes coming from call reflections in objects (Simmons 2012; Moss and Surlykke 2001, 2010). The echoes provide momentary snapshots, which have to be integrated to create an acoustic image of the surroundings. The spatial resolution of the computed image increases with the quantity of received echoes. Thus, a high call rate is required for a detailed representation of the surroundings.
One important parameter that the bats extract from the echoes is an object’s distance. The distance is inferred from the echo delay, which represents the duration between call emission and echo arrival (Kössl et al. 2014). The echo delay decreases with decreasing distance and delay-tuned neurons have been characterized in the ascending auditory pathway, which runs from the inferior colliculus (Wenstrup et al. 2012; Macías et al. 2016; Wenstrup and Portfors 2011; Dear and Suga 1995) to the auditory cortex (Hagemann et al. 2010; Suga and O'Neill 1979; O'Neill and Suga 1982).
Electrophysiological studies usually characterize neuronal processing by using artificial and simplified versions of the echolocation signals as stimuli (Hagemann et al. 2010; Hagemann et al. 2011; Hechavarría and Kössl 2014; Hechavarría et al. 2013). The high controllability of artificial stimuli simplifies the inference of the neuronal mechanisms underlying distance processing. But, it remains largely unexplored how the neurons process delay information from echolocation sequences. The main purpose of the thesis is to investigate how natural echolocation sequences are processed in the brain of the bat Carollia perspicillata. Bats actively control the sensory information that it gathers during echolocation. This allows experimenters to easily identify and record the acoustic stimuli that are behaviorally relevant for orientation. For recording echolocation sequences, a bat was placed in the mass of a swinging pendulum (Kobler et al. 1985; Beetz et al. 2016b). During the swing the bat emitted echolocation calls that were reflected in surrounding objects. An ultrasound sensitive microphone traveling with the bat and positioned above the bat’s head recorded the echolocation sequence. The echolocation sequence carried delay information of an approach flight and was used as stimulus for neuronal recordings from the auditory cortex and inferior colliculus of the bats.
Presentation of high stimulus rates to other species, such as rats, guinea pigs, suppresses cortical neuron activity (Wehr and Zador 2005; Creutzfeldt et al. 1980). Therefore, I tested if neurons of bats are suppressed when they are stimulated with high acoustic rates represented in echolocation sequences (sequence situation). Additionally, the bats were stimulated with randomized call echo elements of the sequence and an interstimulus time interval of 400 ms (element situation). To quantify neuronal suppression induced by the sequence, I compared the response pattern to the sequence situation with the concatenated response patterns to the element situation. Surprisingly, although the bats should be adapted for processing high acoustic rates, their cortical neurons are vastly suppressed in the sequence situation (Beetz et al. 2016b). However, instead of being completely suppressed during the sequence situation, the neurons partially recover from suppression at a unit specific call echo element. Multi-electrode recordings from the cortex allow assessment of the representation of echo delays along the cortical surface. At the cortical level, delay-tuned neurons are topographically organized. Cortical suppression improves sharpness of neuronal tuning and decreases the blurriness of the topographic map. With neuronal recordings from the inferior colliculus, I tested whether the echolocation sequence also induced neuronal suppression at subcortical level. The sequence induced suppression was weaker in the inferior colliculus than in the cortex. The collicular response makes the neurons able to track the acoustic events in the echolocation sequence. Collicular suppression mainly improves the signal-to-noise ratio. In conclusion, the results demonstrate that cortical suppression is not necessarily a shortcoming for temporal processing of rapidly occurring stimuli as it has previously been interpreted.
Natural environments are usually composed of multiple objects. Thus, each echolocation call reflects off multiple objects resulting in multiple echoes following the calls. At present, it is largely unexplored how neurons process echolocation sequences containing echo information from more than one object (multi-object sequences). Therefore, I stimulated bats with a multi-object sequence which contained echo information from three objects. The objects were different distances away from each other. I tested the influence of each object on the neuronal tuning by stimulating the bats with different sequences created from filtering object specific echoes from the multi-object sequence. The cortex most reliably processes echo information from the nearest object whereas echo information from distant objects is not processed due to neuronal suppression. Collicular neurons process less selectively echo information from certain objects and respond to each echo.
For proper echolocation, bats have to distinguish between own biosonar signals and the signals coming from conspecifics. This can be quite challenging when many bats echolocate adjacent to each other. In behavioral experiments, the echolocation performance of C. perspicillata was tested in the presence of potentially interfering sounds. In the presence of acoustic noise, the bats increase the sensory acquisition rate which may increase the update rate of sensory processing. Neuronal recordings from the auditory cortex and inferior colliculus could strengthen the hypothesis. Although there were signs of acoustic interference or jamming at neuronal level, the neurons were not completely suppressed and responded to the rest of the echolocation sequence.
Exploring the in vivo subthreshold membrane activity of phasic firing in midbrain dopamine neurons
(2021)
Dopamine is a key neurotransmitter that serves several essential functions in daily behaviors such as locomotion, motivation, stimulus coding, and learning. Disrupted dopamine circuits can result in altered functions of these behaviors which can lead to motor and psychiatric symptoms and diseases. In the central nervous system, dopamine is primarily released by dopamine neurons located in the substantia nigra pars compacta (SNc) and ventral tegmental area (VTA) within the midbrain, where they signal behaviorally-relevant information to downstream structures by altering their firing patterns. Their “pacemaker” firing maintains baseline dopamine levels at projection sites, whereas phasic “burst” firing transiently elevates dopamine concentrations. Firing activity of dopamine neurons projecting to different brain regions controls the activation of distinct dopamine pathways and circuits. Therefore, characterization of how distinct firing patterns are generated in dopamine neuron populations will be necessary to further advance our understanding of dopamine circuits that encode environmental information and facilitate a behavior.
However, there is currently a large gap in the knowledge of biophysical mechanisms of phasic firing in dopamine neurons, as spontaneous burst firing is only observed in the intact brain, where access to intrinsic neuronal activity remains a challenge. So far, a series of highly-influential studies published in the 1980s by Grace and Bunney is the only available source of information on the intrinsic activity of midbrain dopamine neurons in vivo, in which sharp electrodes were used to penetrate dopamine neurons to record their intracellular activity. A novel approach is thus needed to fill in the gap. In vivo whole-cell patch-clamp method is a tool that enables access to a neuron’s intrinsic activity and subthreshold membrane potential dynamics in the intact brain. It has been used to record from neurons in superficial brain regions such as the cortex and hippocampus, and more recently in deeper regions such as the amygdala and brainstem, but has not yet been performed on midbrain dopamine neurons. Thus, the deep brain in vivo patch-clamp recording method was established in the lab in an attempt to investigate the subthreshold membrane potential dynamics of tonic and phasic firing in dopamine neurons in vivo.
The use of this method allowed the first in-depth examination of burst firing and its subthreshold membrane potential activity of in vivo midbrain dopamine neurons, which illuminated that firing activity and subthreshold membrane activity of dopamine neurons are very closely related. Furthermore, systematic characterization of subthreshold membrane patterns revealed that tonic and phasic firing patterns of in vivo dopamine neurons can be classified based on three distinct subthreshold membrane signatures: 1) tonic firing, characterized by stable, non-fluctuating subthreshold membrane potentials; 2) rebound bursting, characterized by prominent hyperpolarizations that initiate bursting; and 3) plateau bursting, characterized by transient, depolarized plateaus on which bursting terminates. The results thus demonstrated that different types of phasic firing are driven by distinct patterns of subthreshold membrane activity, which may potentially signal distinct types of information. Taken together, the deep brain in vivo patch-clamp technique can be used for the investigation of firing mechanisms of dopamine neurons in the intact brain and will help address open questions in the dopamine field, particularly regarding the biophysical mechanisms of burst firing in dopamine neurons that control behavior.
The objectives of this thesis were to understand how distinct classes of cell types interact to shape oscillatory activity in cortical circuits of the turtle. We chose the turtle cortex as a model system for cortical computations for two reasons. One is that the phylogenetic position of turtles makes their cortex functionally and anatomically particularly interesting. The second is that reptilian brains present several unique experimental advantages. Turtles have a three-layered cortex that forms the dorsalmost part of their pallium and receives direct input from visual thalamus. Thus turtle cortex, while sharing several features with mammalian cortices, constitutes a simpler system for studying cortical computations and dynamics. Freshwater turtles are semiaquatic species, that dive for hours and hibernate for months without breathing. Their brains are adapted to these behaviors so that they can operate under severe anoxia. This property allows for ex vivo wholebrain and whole-cortex (”cortical slab”) preparations in vitro, enabling the use of many sophisticated techniques for monitoring activity in parallel.
I thus set out to utilize the advantages of our model system, by using optogenetic methods to reliably evoke oscillations in an ex vivo whole-cortex preparation while observing activity in parallel with planar multi-electrode arrays (MEA), linear silicon depth-electrodes and patch-clamp recording techniques. This required several technical aspects to be solved. Prior work in turtle cortex (Prechtl, 1994; Prechtl et al., 1997; Senseman and Robbins, 2002) indicated that visual stimuli evoke complex activity patterns (e. g. wave patterns) in dorsal cortex. The goal was to examine these dynamics in detail and to provide mechanistic explanations for them whenever possible. The recent advent of optogenetics, the development of microelectrode arrays, and the possibility to combine these techniques with classical electrophysiological approaches on a resistant, accessible and stable preparation led me to explore a number of technical avenues.
First I had to establish gene delivery methods in reptiles. I settled on recombinant viruses, and show results from several serotypes of adeno-associated virus (AAV), i lentivirus and rabies virus. I report successful gene expression of genes of interest with several subtypes of AAV, including the commonly used AAV2/1 and AAV2/5 serotypes. Second I had to find promoters enabling global and cell-type specific gene expression in reptiles. Ubiquitous high-yield promoters such as CAG/CB7 or CMV drive high levels of expression in turtles; cell-type specific promoters such as hSyn (expression limited to neurons) and CaMKIIa (expression limited exclusively o mostly to excitatory neurons) appear similarly biased in turtles. Other cell-type specific promoters reported in the literature (fNPY, fPV, fSST) failed to express in turtles.
A second major aspect of my work focused on electrophysiological recordings using microelectrode arrays and the interpretation of extracellular signals recorded from cortex in ex vivo preparations. We observed that spike signals produced by pyramidal and inhibitory neurons were very often followed by a slower potential. We identified these slower potentials as reflections of synaptic currents, and thus of the axonal projections of the neurons, at least within the deep layers of cortex. This also resulted in a means to classify neurons as excitatory or inhibitory with much higher reliability than classical methods (e. g. spike width). The final aspect of my work concerns the use of optogenetics to dissect the mechanisms of cortical oscillations and wave propagation. I show that oscillations can be induced by light in turtle cortex after transfection with AAV2/1 carrying the gene for channelrhodopsin 2 (ChR2). By using the CaMKIIa promoter, ChR2 induced currents are limited to LII/III excitatory cells; we can therefore control excitatory drive to cortical networks. If this drive is strong enough, layer III inhibitory interneurons are recruited and fire in a concerted fashion, silencing the excitatory population. The visually evoked 20 Hz oscillations observed in chronically recorded animals (Schneider, 2015) or in anaesthetized animals (Fournier et al., in press) thus appear to result from a feedback loop between E and I cells within layers II & III. Details of these interactions are being investigated but - layer I interneurons, by contrast, do not seem to be involved. By pulsing light I could control the frequency of the oscillations within a range of several Hz around the natural oscillation frequency. Above this range, cortex could only follow the stimulus at a fraction (1/2, 1/3,...) of the light pulse frequency. Using a digital micromirror device, I limited activation of the cortical networks spatially, enabling the study of wave propagation in this system.
Reptilian cortex offers a relatively simple model system for a reductionist and comparative strategy on understanding cortical computations and dynamics. Turtle dorsal cortex could thus give fundamental insights to the primordial organization tional, computational and functional principles of cortical networks. These insights are relevant to our understanding of mammalian brains and may prove valuable to decipher fundamental questions of modern neuroscience.
Tympanal hearing organs of insects emit distortion-product otoacoustic emissions (DPOAEs) which are indicative of nonlinear mechanical sound processing. General characteristics of insect DPOAEs are comparable to those measured in vertebrates, despite distinct differences in ear anatomy. DPOAEs appear during simultaneous stimulation with two pure tones (f1<f2) as additional spectral peaks at frequencies of nf1-(n-1)f2 and nf2-(n-1)f1, with the 2f1-f2 emission being the most prominent one. Insect DPOAEs are highly vulnerable to manipulations that interfere with the animal's physiological state and disappear after death. First evidence from locusts suggested that scolopidial mechanoreceptors might play a role in frequency-specific DPOAE generation (Möckel et al. 2007). The overall aim of this thesis was to determine the source of sensitive, nonlinear hearing at high frequencies and of DPOAE generation in tympanal organs of insects.
The first project of the present thesis involved general characteristics of DPOAE generation in the bushcricket Mecopoda elongata and the selective exclusion of the scolopidial mechanoreceptors using the neuroactive insectizide pymetrozine (Möckel et al. 2011). Pymetrozin appears to act highly effective and selectively on chordotonal organs, without affecting other sensory organs that lack scolopidial receptors. Pymetrozine solutions were applied as closely as possible to the scolopidia via a cuticle opening in the tibia, distally to the organ. Applications at concentrations between 10-3 and 10-7 M led to a pronounced and irreversible decrease of DPOAE amplitudes. Both this study on bushcrickets (Möckel et al. 2011) and an earlier one on locusts (Möckel et al. 2007) hence indicate the involvement of scolopidia in DPOAE generation in insects, by using complementary methods (pharmacological versus mechanical manipulation) and different animal models.
The second project of the present thesis investigated the temperature-dependence of DPOAEs in the locust Locusta migratoria (Möckel et al. 2012). The suggested biological origin of acoustic two-tone distortions in insects should involve metabolic processes, whose temperature-dependence would directly affect the DPOAE generation. Body temperature shifts resulted in reversible, level- and frequency-dependent effects on the 2f1–f2 emission. Using low f2 frequencies of up to 10 kHz, a body temperature increase (median +8–9°C) led to an upward shift of DPOAE amplitudes of approximately +10 dB, whereas a temperature decrease (median –7°C) was followed by a reduction of DPOAE amplitudes by 3 to 5 dB. Both effects were only present in the range of the low-level component of DPOAE growth functions below f2 stimulus levels of approximately 30-40 dB SPL. Emissions induced by higher stimulus levels and frequencies (e.g. 12 and 18 kHz) remained unaffected by any temperature shifts. The Arrhenius activation energy of the underlying cellular component amounted to 34 and 41 kJmol-1 (for growth functions measured with 8 and 10 kHz as f2, respectively). Such activation energy values provide a hint that an intact dynein-tubulin system within the scolopidial receptors could play an essential part in the DPOAE generation in tympanal organs.
The third project of this thesis demonstrated mechanical DPOAE analogs in the tympanum's vibration pattern during two-tone stimulation in the locust Schistocerca gregaria, using laser Doppler vibrometry (Möckel et al. 2014). DPOAE generation crucially relies on the integrity of the scolopidial mechanoreceptors (Möckel et al. 2007, 2011), which in locusts, directly attach to the tympanal membrane. During two-tone stimulation, DPOAEs were shown to mechanically emerge at the tympanum region where the auditory mechanoreceptors are attached. Those emission-coupled vibrations differed remarkably from tympanum waves evoked by external pure tones of the same frequency, in terms of wave propagation, energy distribution, and location of amplitude maxima. In contrast to traveling wave-like characteristics of externally evoked vibrations, intrinsically generated waves were locally restricted to the region around the high frequency receptors’ attachment position. The mechanical gradient of the tympanal membrane that leads to direction-dependent properties probably avoids the spreading of these locally evoked waves, which are then reflected and occur only in restricted areas as standing waves. Selective inactivation of mechanoreceptors by mechanical lesions did not affect the tympanum's response to external pure tones, but abolished the emission's displacement amplitude peak. These findings provide evidence that tympanal auditory receptors, comparable to the situation in mammals, comprise the required nonlinear response characteristics, which during two-tone stimulation lead to additional, highly localized deflections of the tympanum.
The neocortical microcircuit, a local network of excitatory and inhibitory neurons, is a highly complex information processing unit, which can flexibly be modulated to adapt to external context and internal state such as motivation or attention. The mechanisms underlying these adaptations for flexible processing are not sufficiently understood yet. The aim of this study is to further elucidate the role of inhibitory and excitatory components of the local neocortical microcircuit for the processing of sensory information in an awake, behaving animal.
Layer 1 of the neocortex is of particular importance because it contains afferents from the thalamus and more distant cortical regions, which relay top-down information that is important for processes such as learning and attention. The dendrites of the excitatory pyramidal neurons located in deeper layers extend into layer 1, and in addition to that layer 1 contains inhibitory neurons, as well as axons from inhibitory somatostatin expressing (SOM) neurons located in lower layers. These layer 1 inhibitory neurons and SOM axons are therefore well positioned to control top-down information transfer at the pyramidal dendrites, and thus to flexibly regulate information processing in the local circuit. To further investigate this, the stimulus responses in inhibitory (SOM axons) and excitatory (layer 2/3 pyramidal neurons) components of the neocortical microcircuit were measured in primary auditory cortex during learning, when auditory stimuli gain relevance.
For this purpose, I first established a suitable learning behaviour, an auditory GO-NOGO discrimination task, which can be performed by head-fixed mice under the microscope. The task also contains a visual start cue, which signals the start of every trial, as a multimodal element. Mice learn to distinguish two auditory stimuli by being rewarded with water after the GO stimulus and receiving no reward after the NOGO stimulus. They indicate that they have identified the stimuli accordingly by licking at a water dispenser during the GO stimulus and not during the NOGO stimulus. Licking during the NOGO stimulus is punished by an aversive air puff. As the mice learn this behaviour, the stimuli gain relevance. The activity in the same neuronal structures was observed over the course of all training sessions via 2-photon imaging in awake, behaving mice, and their stimulus responses were measured throughout the learning process, acquiring a comprehensive dataset. In these data, short-term and long-term plasticity of the stimulus responses can be detected and these changes in the stimulus responses differ for SOM axons and pyramidal neurons. Already from the first training day, stimulus responses change in the course of a single session, both in SOM axons and in pyramidal cells. With time over the course of task acquisition, the stimulus representation in a group of pyramidal neurons in layer 2/3 is enhanced and distal dendrites are less inhibited over training through reduced activation of the SOM axons, so that the integration of information along the somatodendritic axis shifts, increasing the relative impact of top-down information. This shift is even stronger for the NOGO stimulus in correct trials compared to the GO stimulus. This is the first study to show that this somato-dendritic shift by SOM-axon responses occurs at different strengths for the GO and NOGO stimulus, probably due to the different learned responses (action or refraining), which require different forms of circuit control. After learning, the neuronal responses to GO and NOGO stimuli also differ in pyramidal neurons, with the GO stimulus evoking stronger responses than the NOGO stimulus. This learned distinction is reversed in passive trials during which the mice have no possibility to respond to the stimuli, in both SOM axons and pyramidal neurons, resulting in similar response sizes for both stimuli. This indicates that not only learning over the long term, but also short-term changes regarding the state (active execution of the discrimination task or no active participation during the stimulus presentations) affect the processing of the stimuli in the local circuit. In addition, on an even shorter time scale pyramidal neurons show a modulation of responses from trial to trial, probably due to anticipation of reward, which is absent from SOM axon responses. Thus, there are various levels of plasticity that develop over the course of training: long-term changes in the response size of both the excitatory and inhibitory components that facilitate stimulus recognition when engaged, and short-term modulation (possibly in anticipation of reward) in excitatory neurons that could underlie sensorimotor transformation. Both pyramidal neurons and SOM axons in the primary auditory cortex respond to multimodal and reinforcement-related stimuli, likely contributing to the optimisation of circuit dynamics for goal-directed information processing. This shows that the circuit flexibly adjusts information processing under different circumstances, depending on the relevance the stimuli carry and whether the mouse is active or inactive and can use the presented information to achieve a goal.
Using walls to navigate the room: egocentric representations of borders for spatial navigation
(2021)
Spatial navigation forms one of the core components of an animal’s behavioural repertoire. Good navigational skills boost survival by allowing one to avoid predators, to search successfully for food in an unpredictable world, and to be able to find a mating partner. As a consequence, the brain has dedicated many of its resources to the processing of spatial information. Decades of seminal work has revealed how the brain is able to form detailed representations of one’s current position, and use an internal cognitive map of the environment to traverse the local space. However, what is much less understood is how neural computations of position depend on distance information of salient external locations such as landmarks, and how these distal places are encoded in the brain.
The work in this thesis explores the role of one brain region in particular, the retrosplenial cortex (RSC), as a key area to implement distance computations in relation to distal landmarks. Previous research has shown that damage to the RSC results in losses of spatial memory and navigation ability, but its exact role in spatial cognition remains unclear. Initial electrophysiological recordings of single cells in the RSC during free exploration behaviour of the animal resulted in the discovery of a new population of neurons that robustly encode distance information towards nearby walls throughout the environment. Activity of these border cells was characterized by high firing rates near all boundaries of the arena that were available to the animal, and sensory manipulation experiments revealed that this activity persisted in the absence of direct visual or somatosensory detection of the wall.
It quickly became apparent that border cell activity was not only modulated by the distance to walls, but was contingent on the direction the animal was facing relative to the boundary. Approximately 40% of neurons displayed significant selectivity to the direction of walls, mostly in the hemifield contra-lateral to the recorded hemisphere, such that a neuron in left RSC is active whenever a wall occupies proximal space on the right side of the animal. Using a cue-rotation paradigm, experiments initially showed that this egocentric direction information was invariant to the physical rotation of the arena. Yet this rotation elicited a corresponding shift in the preferred direction of local head-direction cells, as well as a rotation in the firing fields of spatially-tuned cells in RSC. As a consequence, position and direction encoding in RSC must be bound together, rotating in unison during the environmental manipulations, as information about allocentric boundary locations is integrated with head-direction signals to form egocentric border representations.
It is known that the RSC forms many anatomical connections with other parts of the brain that encode spatial information, like the hippocampus and para-hippocampal areas. The next step was to establish the circuit mechanisms in place for RSC neurons to generate their activity in respect to the distance and direction of walls. A series of inactivation experiments revealed how RSC activity is inter-dependent with one of its communication partners, the medial entorhinal cortex (MEC). Together they form a wider functional network that encodes precise spatial information of borders, with information flowing from the MEC to RSC but not vice versa. While the conjunction between distance and heading direction relative to the outer walls was the main driver of neural activity in RSC, border cells displayed further behavioural correlates related to movement trajectories. Spiking activity in either hemisphere tended to precede turning behaviour on a short time-scale in a way that border cells in the right RSC anticipated right-way turns ~300 ms into the future.
The interpretation of these results is that the RSC’s primary role in spatial cognition is not necessarily on the early sensory processing stage as suggested by previous studies. Instead, it is involved in computations related to the generation of motion plans, using spatial information that is processed in other brain areas to plan and execute future actions. One potential function of the RSC’s role in this process could be to act correctly in relation to the nearby perimeter, such that border cells in one hemisphere are involved in the encoding of walls in the contralateral hemifield, after which the animal makes an ipsilateral turn to avoid collision. Together this supports the idea that the MEC→RSC pathway links the encoding of space and position in the hippocampal system with the brain’s motor action systems, allowing animals to use walls as prominent landmarks to navigate the room.
Inhibition of midbrain dopamine (DA) neurons codes for negative reward prediction errors, and causally affects conditioning learning. DA neurons located in the ventral tegmental area (VTA) display two-fold longer rebound delays from hyperpolarizing inhibition in comparison to those in the substantia nigra (SN). This difference has been linked to the slow inactivation of Kv4.3-mediated A-type currents (IA). One known suppressor of Kv4.3 inactivation is a splice variant of potassium channel interacting protein 4 (KChIP4), KChIP4a, which has a unique potassium channel inactivation suppressor domain (KISD) that is coded within exon 3 of the KChIP4 gene. Previous ex vivo experiments from our lab showed that the constitutive knockout of KChIP4 (KChIP4 KO) removes the slow inactivation of IA in VTA DA neurons, with marginal effects on SN DA neurons. KChIP4 KO also increased firing pauses in response to phasic hyperpolarization in these neurons. Here I show, using extracellular recordings combined with juxtacellular labeling in anesthetized mice, that KChIP4 KO also selectively changes the number and duration spontaneous firing pauses by VTA DA neurons in vivo. Pauses were quantified with two different statistical methods, including one developed in house. No other firing parameter was affected, including mean frequency and bursting, and the activity of SN DA neurons was untouched, suggesting that KChIP4 gene products have a highly specific effect on VTA DA neuron responses to inhibitory input.
Following up on this result, I developed a new mouse line (KChIP4 Ex3d) where the KISD-coding exon 3 of KChIP4 is selectively excised by cre-recombinase expressed under the dopamine transporter (DAT) promoter, therefore disrupting the expression of KChIP4a only in midbrain DA neurons. I show that these mice have a highly selective behavioral phenotype, displaying a drastic acceleration in extinction learning, but no changes in acquisition learning, in comparison to control littermates. Computational fitting of the behavioral data with a modified Rescorla-Wagner model confirmed that this phenotype is congruent with a selective increase in learning from negative prediction errors. KChIP4 Ex3d also had normal open field exploration, novel object preference, hole board exploration and spontaneous alternation in a plus maze, indicating that exploratory drive, responses to novelty, anxiety, locomotion and working memory were not affected by the genetic manipulation. Furthermore semi-quantitative IHC revealed that KChIP4 Ex3d mice have increased Kv4.3 expression in TH+ neurons, suggesting that the absence of KChIP4a increases the binding of other KChIP variants, which known to increase surface expression of Kv4 channels.
Furthermore, in the course of my experimental study I identified that the most used mouse line where cre-recombinase is expressed under the DAT promoter (DAT-cre KI) has a different behavioral phenotype during conditioning in relation to WT littermate controls. These animals displayed increased responding during the initial trials of acquisition and delayed response latency extinction, consistent with an increase in motivation, which is in line with a decrease in DAT function.
I propose a working model where the disruption of KChIP4a expression in DA neurons leads to an increase in binding of other KChIP variants to Kv4.3 subunits, promoting their increased surface expression and increasing IA current density; this then increases firing pauses in response to synaptic inhibition, which in behaving animals translates to an increase in negative prediction error-based learning.
Humans and other primates are highly visual animals. Our daily visual activities such as recognizing familiar faces, interacting with objects, or reading, are supported by an extensive system of interacting brain areas. The interactions between the many individual nerve cells both within and between brain areas need to be coordinated. One possible solution to achieve flexible coordination between cells in the network is rhythmic activity, or oscillations. The focus of the thesis will be activity in the largest visual area, V1, in non-human primates. In V1, high-frequency activity, so-called gamma-band activity (“gamma”, ca. 30-90 Hz) can be frequently observed and has been suggested to play a role in coordinating activity in the visual system. In Chapter 1, the coordination problem, the primate visual system and gamma-band oscillations are introduced in detail. The following chapters explore the dependence of gamma on contextual influences. Does V1 use contextual information to optimize co-ordination? In the first part, the short-term consequences of repeated encounters with visual stimuli on V1 responses are explored (Chapters 2 and 3). Inspired by results from colored, naturalistic images in the first part, the second part tests the dependence of gamma on spatial and chromatic stimulus aspects (Chapters 4 and 5).
Stimulus repetition is a simple yet powerful way to tap into our brains’ ability to learn and adapt to our environment. Repeated presentation of a visual stimulus tends to decrease responses to this stimulus. Is this accompanied by changes in the coordination of brain activity? In Chapter 2, the stimulus-specificity of repetition effects on gamma was tested using naturalistic stimuli. V1 is most typically studied using black-and-white, artificial stimuli that are very familiar to the animals. Here, colored natural images were repeatedly presented that were initially novel to the animals, to provide a wider and more naturalistic range of stimulation. Both multi-unit spiking activity (MUA) and gamma showed stimulus-specific repetition effects. MUA responses de-creased most strongly for initial repetitions and less for later repetitions. In contrast, gamma could increase or decrease for initial repetitions, but tended to increase for later repetitions. This points to the operation of multiple plasticity mechanisms. One process may rapidly decrease MUA and gamma and be related to initial novelty or adaptation. The other increases gamma, is active for more repetitions, and could constitute a form of refinement of coordination over time. Moreover, based on the spacing of stimulus repetitions, stimulus memory in V1 persisted for tens of seconds.
In the following Chapter 3, the stimulus location specificity and persistence of the repetition effects for longer timescales were tested. To this end, the observation that the increase in gamma with repetition was strongest for the first tens of repetitions was used to test for location specificity and memory. Using simple artificial stimuli that were repeated many times at two alternating locations, both location specificity and memory on the order of minutes was observed. Due to the structure of the primate visual system, location specificity suggests that the repetition effects involve early to mid-level visual areas such as V1. Memory for previous stimulus presentations on the order of minutes has not been previously reported for V1 gamma. Taken together, these experiments demonstrate short-term plasticity of gamma that is stimulus- and location specific and persists on the timescale of minutes.
In Chapter 2, the average gamma-band response to the large, naturalistic stimuli was highly stimulus dependent. Relative increases in gamma-band activity scaled between tens and thousands of percent change depending on the stimulus. Particularly the color of the stimuli appeared to play a strong role, although the stimulus set was too limited and uncontrolled to draw strong conclusions. In Chapters 4 and 5, underlying mechanisms for the stimulus specificity of gamma were explored using more well-controlled, artificial stimuli that varied in color and spatial structure.
Much of vision relies on the analysis of spatial structure. Each nerve cell in V1 only responds to visual stimuli in a particular, small part of the visual field, its so-called “receptive field” (RF). Compared to isolated RF stimulation, nearby cells that are stimulated by a similar structure from different parts of visual space can show response decreases, commonly known as “surround suppression”, and may show coordinated activity in the gamma band. In Chapter 3, responses to large, uniformly colored disks are contrasted with responses to black or white (achromatic) disks. A first experiment showed that gamma-band responses were stronger for colored than achromatic stimuli, whereas MUA responses could decrease below baseline for colored stimuli. To test whether these phenomena were related to surround suppression, stimulus size was manipulated in a second experiment. When stimuli were of sufficient size to induce surround suppression, clear gamma-band responses emerged. Surround suppression and gamma were stronger for chromatic stimuli. However, the change of stimulus size could have changed not only surround suppression but also stimulus saliency. Therefore, in a third experiment, the overall size of the stimulus was kept constant, and the spatial structure of the stimulus was manipulated. In comparison to uniform, predictable stimulus structure, mismatches between the center of the stimulus and the surrounding visual space led to strong increases in MUA responses and strong de-creases in gamma-band activity. These effects were restricted to the recording sites with RFs at the mismatch location. These experiments underpin the strong role of both spatial structure and color for gamma in V1.
In Chapter 4, responses to different color hues are studied in more detail. Gamma response strength depended on hue, being strongest for red compared to blue and green stimuli when measured with a gray background. To better understand the underlying mechanisms of the differential responses, the spatio-temporal context in the form of the background color was manipulated. Background color had a strong influence on gamma strength. Using differently colored backgrounds, different parts of the color signaling pathways could be adapted. Response differences to different color hues could be explained well with a model that incorporates differences in adaptation between pathways involving long- compared to medium-wavelength cone signals.
Taken together, these experiments indicate a strong role of both spatial context (stimulus size and structure) and temporal context and drive (repetition, adaptation) for the generation of gamma-band activity in V1. Functional implications of these dependencies are considered in the final Chapter 6, and a role for gamma-band syn-chronization in a coding regime for visual inputs that generate strong drive and high predictability is suggested.
Rhythms, i.e. periodic sequences of events or states, are a ubiquitous feature of physiological systems such as the heart, the lungs or the brain. For the brain in particular, the diversity of rhythms is remarkable, ranging from low frequency rhythms in the slow/delta band (0.5-4 Hz) during sleep to gamma band oscillations (30-120 Hz) rhythms during alert behavior, all expressed in various brain areas and at various spatial scales. To understand whether these rhythms subserve a function for the organism it is important to also understand the underlying mechanisms that generate them. While the generation of some rhythms appear to be well-understood, e.g. sleep spindles, others such as the cortical beta rhythm (13-30 Hz) have remained elusive.
Understanding the generation of a brain rhythm involves multiple spatial scales, from identifying intracellular mechanisms such as the contribution of individual transmembrane currents to studying how specific neuronal populations or areas affect the full physiological rhythm present in the intact, highly interconnected brain. The aim of this work has been to delineate the mechanistic contributions of individual brain areas to the in vivo generation of two particular rhythms present in efferent areas: (1) The first part of this work studies the influence of thalamocortical neurons on cortical slow/delta waves (0.5-4 Hz) of sleep that are sometimes also present in awake animals. (2) The second part is about the contribution of primary visual cortex to the beta rhythm (13-30 Hz) in extrastriate cortex of awake behaving animals.
An exciting in vivo function of ATP-sensitive potassium channels in substantia nigra dopamine neurons Ð Implications for burst firing and novelty coding ÐPhasic burst activity is a key feature of dopamine (DA) midbrain neurons. This particular pattern of excitation of DA neurons occurs via a synaptically triggered transition from low-frequency background spiking to transient high-frequency discharges. Burst-firing mediated phasic DA release is critical for flexible switching of behavioural strategies in response to unexpected rewards, novelty and other salient stimuli. However, the cellular and molecular bases of burst signalling in distinct DA subpopulations of the substantia nigra (SN) or the ventral tegmental area (VTA) are unknown.
DA neuron excitability is controlled by synaptic network inputs, neurotransmitter receptors and ion channels, which generate action potentials and determine frequency and pattern of electrical activity in a complex interplay. ATP-sensitive potassium (K-ATP) channels are widely expressed throughout the brain, where in most cases they are believed to act as metabolically-controlled 'excitation brakes' by matching excitability to cellular energy states. However, their precise physiological in vivo function in DA neurons remains elusive.
To study burst firing and the underlying ionic mechanisms with single cell resolution, in vivo single-unit recordings were combined with juxtacellular neurobiotin labelling as well as immunohistochemical and anatomical identification of individual DA neurons. In vivo recordings were performed in adult isoflurane-anaesthetised wildtype (WT) and global K-ATP channel knockout mice, lacking the pore forming Kir6.2 subunit (Kir6.2-/-). In addition, DA cell-selective functional silencing of K-ATP channel activity in vivo was established using virus-mediated expression of dominant-negative Kir6.2 subunits. Careful control experiments ruled out any significant contributions from nonDA neurons as transduction was effectively limited to SN DA neurons rather than affecting those cells that innervate them. Virus-based K-ATP channel silencing in combination with juxtacellular recording and labelling was achieved to define the electrophysiological phenotype of individually identified, virally-transduced DA neurons in vivo.
Single-unit recordings revealed that K-ATP channels Ð in contrast to their conventional hyperpolarising role Ð in a subpopulation of DA neurons located in the medial SN (m-SN) act as cell-type selective gates for excitatory burst firing in vivo. The percentage of spikes in bursts was threefold reduced in Kir6.2-/- compared to WT mice. Classification of firing patterns based on visual inspection of autocorrelation histograms and on a newly developed spike-train-model confirmed the dramatic shift from phasic burst to tonic single-spike oscillatory firing in Kir6.2-/-. This significant decrease of burstiness was selective for m-SN DA neurons and was not exhibited by DA cells in the lateral SN or VTA. Virus-based K-ATP channel silencing in vivo unequivocally demonstrated that the activity of postsynaptic K-ATP channels was sufficient to disrupt bursting in m-SN DA neuron subtypes. Patch-clamp recordings in brain slices indicated an essential role of K-ATP channels for NMDA-mediated in vitro bursting. In accordance with previous studies in DA midbrain neurons, NMDA receptor stimulation triggered burst-like firing in m-SN DA cells in vitro, but only when K-ATP channels were co-activated in these neurons.
K-ATP channel-gated burst firing in m-SN DA neurons might be functionally relevant in awake, freely moving mice. To explore the behavioural consequences of SN DA neuron subtype-selective K-ATP channel suppression, spontaneous open field (OF) behaviour of mice with bilateral K-ATP silencing across the whole SN (medial + lateral) or in only the lateral SN was tested. Analysis of WT and global Kir6.2-/- mice showed reduced exploratory locomotor activity of Kir6.2-/- in a novel OF environment. Remarkably, K-ATP channel silencing in m-SN DA neurons phenocopied this novelty-exploration deficit, indicating that K-ATP channel-gated burst firing in medial but not lateral SN DA neurons is crucial for WT-like novelty-dependent exploratory behaviour.
In summary, a novel role of K-ATP channels in promoting the excitatory switch from tonic to phasic firing in vivo in a cell-type specific manner was discovered. The present PhD thesis provides several important insights into the pivotal function of K-ATP channels in medial SN DA cells, which project to the dorsomedial striatum, for burst firing and its important consequences for context-dependent exploratory behaviour.
In collaboration with two other research groups transcriptional up-regulation of K-ATP channel and NMDA receptor subunits and high levels of in vivo burst firing were detected in surviving SN DA neurons from Parkinson's disease (PD) patients Ð providing a potential link of K-ATP channel activity to neurodegenerative pathomechanisms of PD. Using high-resolution fMRI imaging another study in humans has recently identified distinct DA midbrain regions that are preferentially activated by either reward or novelty. Taken together, these human data and the results of the present PhD thesis suggest that burst-gating K-ATP channel function in SN DA neurons impacts on phenotypes in disease as well as in health.
The midbrain DA system comprising dopamine (DA) neurons of the substantia nigra (SN) and the ventral tegmental area (VTA) is involved in various brain functions, including voluntary movement and the encoding and prediction of behaviorally relevant stimuli. In Parkinsonʼs disease (PD), a progressive degeneration of particularly vulnerable SN DA neurons causes a progressive DA depletion of striatal projection sites. As a consequence, motor symptoms such as tremor, hypokinesia and rigidity appear once about 50 % to 70 % of SN DA neurons have been lost. Under physiological conditions, SN DA neurons can encode behaviorally salient events and coordinated movements through tonic and phasic activity and correlated striatal DA release. Burst-activity mediates a phasic, supralinear rise of striatal DA levels and allows to activate coordinated movements via modulation of corticostriatal signals.
In the present dissertation project, pathophysiological adaptations of surviving SN DA neurons after a partial degeneration of the nigrostiatal system have been studied using a 6-hydroxydopamine mouse model of PD. Combining in vivo retrograde tracing techniques with in vitro whole-cell patch-clamp recordings, multifluorescent immunolabeling and confocal microscopy allowed an unambiguous correlation of electrophysiological phenotypes, anatomical positions and neurochemical phenotypes of recorded neurons on a single-cell level. In vitro, neuronal activity of SN DA neurons is characterized by spontaneous, slow pacemaker activity of 1 to 10 Hz and a high degree of spike-timing precision. In vitro current-clamp recordings of surviving SN DA neurons using acute brain slice preparations after a partial, PD-like degeneration of the nigrostriatal DA system showed a significant perturbation of spontaneous pacemaker activity, mirrored by a decreased spike-timing precision compared to controls. Selective pharmacology and whole-cell voltage-clamp recordings served to identify calciumactivated SK channels as molecular effectors of a perturbated pacemaker activity of surviving SN DA neurons. SK channels and have been shown to critically contribute to the spike-timing precision of SN DA neurons. Consistently, in vitro current-clamp recordings after pharmacological blockade of SK channels in vitro caused a significant decrease of spike-timing precision, occluding previously observed differences between surviving SN DA neurons and controls.In addition to in vitro patch-clamp recordings, extracellular single-unit recordings in anaesthetized animals in vivo served to study surviving SN DA neurons embedded in an intact neuronal network after a partial, PD-like degeneration of the nigrostriatal DA system. Combining in vivo single-unit recordings, juxtacellular neurobiotin labeling and multifluorescent immunohistochemistry allowed to directly correlate electrophysiological and neurochemical phenotypes as well as anatomical positions on a single-cell level. In vivo, surviving SN DA neurons showed a significant decrease of spike-timing precision as reflected by an increased irregularity and an augmented burst activity compared to controls.
The present dissertation project provided a unique combination of a neurotoxicological PD mouse model, retrograde tracing techniques and in vitro as well as in vivo electrophysiologiy, allowing to unambiguously correlate electrophysiological adaptations, projection-specific anatomical positions and neurochemical phenotypes of SN DA neurons after a partial degeneration of the nigrostriatal system. Surviving SN DA neurons exhibited a significant deficit of SK channel activity after a partial degeneration of the nigrostriatal DA system. In consequence of a diminished SK channel activity observed in vitro, surviving SN DA neurons exhibited and enhanced burst activity in vivo, providing a plausible mechanism to compensate a striatal DA depletion.
The human brain is one of the most complex biological systems. More than 100 billion neurons build networks that control basic body functions and highly coordinated movements, enable us to express emotions, feelings and thoughts and to store memories over years and even throughout life time. Ultimately, “We are who we are because of what we learn and what we remember” (Kandel 2006). Under pathological conditions, the brain function is challenged. Most if not all neurological diseases have in common that they are either triggered and/or accompanied by inflammatory processes of brain tissue, referred to as neuroinflammation. Such inflammatory processes directly affect an elementary neural mechanism relevant for learning and memory: synaptic plasticity. Indeed, neurons are highly dynamic structures and able to respond to specific stimuli with morphological, functional and molecular adaptations that modify the strength and number of neuronal contact sides (synapses). Hence, the main motivation of this thesis was to identify the neural targets through which inflammation affects brain function and synaptic plasticity in particular. The principles of synaptic plasticity have been studied intensively in the hippocampus, an anatomical structure localized within the temporal lobes that is essential for the consolidation of memories and spatial navigation. Synaptic plasticity is coordinated by complex interactions of thousands of molecules and proteins. Among those proteins, synaptopodin (SP) is localized at a strategic position within excitatory synapses and has been shown to be fundamentally involved in the regulation of synaptic plasticity.
To induce neuroinflammation and to study its effects on SP as well as synaptic plasticity, the classic model of lipopolysaccharide (LPS) was applied. This thesis discloses that inflammatory processes impair the ability of neurons to express hippocampal synaptic plasticity in vivo, which is accompanied by a downregulation of SP-mRNA and protein level in the mouse hippocampus, indicating that SP is one of the cellular targets through which inflammatory signaling pathways affect synaptic plasticity and hence neural function. To learn more about the cellular and molecular mechanisms, an in vitro LPS model was established using entorhino-hippocampal organotypic slice cultures (OTCs).
While confirming the major effect of LPS on SP, this thesis furthermore shows that neuroinflammation crucially involves the cytokine TNFα to transduce its effects on SP, and that microglial cells are the main source of TNFα production under inflammatory conditions. In an attempt to learn more about the mechanisms that are affected under conditions of neuroinflammation effects of retinoic acid (RA), a vitamin A derivate were tested. This is mainly because SP as well as RA have been shown to modulate synaptic plasticity through the accumulation of glutamate receptors at the postsynaptic site: SP via the association with the actincytoskeleton as well as intracellular calcium stores, and RA directly via the modulation of local protein synthesis within dendrites. Indeed, in slice cultures exposed to RA, hippocampal SP cluster size is upregulated, both in vitro and in vivo. Intriguingly, a lack of SP prevents RA-induced synaptic strengthening of hippocampal dentate granule cells in OTCs. This suggests a direct contribution of SP in RA-dependent synaptic plasticity. Interestingly, co-immunoprecipitation of SP-mRNA together with the RA-receptor alpha (RARα) further implies that RA directly controls synaptic plasticity via regulation of SP-protein expression. It is therefore interesting to speculate that RA may increase SP expression or prevent its reduction and thus alterations in synaptic plasticity under conditions of neuroinflammation. Taken together, this thesis identifies SP as an important neuronal target of TNFα-mediated alterations in synaptic plasticity. Moreover, the work on RA indicates that SP affects the ability of neurons to express synaptic plasticity by modulating/mediating local protein synthesis. Since neuroinflammatory processes are an elementary concomitant feature and/or cause of neurological diseases, I am confident that future work on the effects of inflammatory processes on brain function may provide the perspective in devising new therapeutic strategies for the treatment of neuropathologies such as Alzheimer’s disease, multiple sclerosis, epilepsy or stroke, by targeting SP expression and SP-mediated synaptic plasticity.
Reading is an essential ability to master everyday life in our society. The ability to read is based on specific connections between brain regions involved in the reading process – so-called cortical networks for reading. These cortical networks for reading allow us to learn the correct identification of visual words. The use of visual words is based on knowledge about the orthography (lexical) and the meaning of words (semantic). This knowledge must be acquired by beginning readers (first grader), i.e. beginning readers learn in a first step to link letters to a whole word and in a second step associate this whole word with meaning. To retrieve this knowledge during visual word recognition (VWR) a cortical network for lexical-semantic process must be activated. However, it is currently unclear whether beginning readers and reading experts activate the same neuronal network during VWR. Therefore, the aim of this thesis was to investigate the question whether beginning readers (first grader, children) and reading experts (adults) use different cortical networks for the lexical-semantic processing in VWR.
To address this question we recorded electroencephalographic (EEG) activity during VWR in children and adults. Children and adults were instructed to read a visualizable word to compare this word with a following picture stimulus. The first part of this thesis is concerned with the analysis of ERPs for visual word recognition in children and adults at sensor level. For both groups we observed the typical ERP components P100 and N170 for visual word recognition. These components differed in amplitude and time course between both groups. The second part of this thesis investigated the neuronal generators (brain areas) of ERPs during VWR and possible differences between children and adults at source level. We observed a high overlap in brain areas involved during VWR in children and adults. However, the brain areas differed in activation and time course between children and adults. Finally, the third and most important part of the thesis investigated the question whether children and adults use different cortical networks for the lexical-semantic processing in VWR over time. To address this question Dynamic Causal Modeling (DCM) and Bayesian model comparison were used. We compared nine biologically plausible cortical network models underlying the ventral lexical-semantic path in VWR. In addition, increasing time intervals were used to consider possible changes of network structure during VWR. The network models included eight brain regions (four bilateral pairs) involved in the lexical-semantic processing in VWR: occipital cortex (OC), temporo-occipital part of inferior temporal gyrus (ITG), temporal pole (TP), and inferior frontal gyrus (IFG). In almost all time intervals we found evidence that children and adults use the same cortical networks for the lexical-semantic processing in VWR. However, we found differences between adults and children in the connection strengths of the favoured model. Interestingly, we found a stronger direct connection from OC to IFG in adults compared to children.
In conclusion, our results suggest that children and adults activate largely the same lexical-semantic networks during VWR over time. This supports the notion that children and adults use the same biological fiber connections for VWR. However in contrast to children, adults showed increased use of the shortcut pathway from OC to IFG. The increased use of the shortcut pathway from OC to IFG in adults can be interpreted as consequence of learning. Learning causes in accordance with the Hebbian learning rule (“neurons that fire together, wire together” (Hebb, 1949)) synaptic change. Consequently the frequent coactivation of the input and output stage of OC and IFG during the lexical-semantic process facilitates the stronger direct connection between both brain areas. The stronger direct connection from OC to IFG most likely allows adult reading experts to speed up the lexical-semantic process during VWR. Accordingly, we conclude that the stronger direct connections from OC to IFG in adults compared to children underlay the different reading capabilities in both groups.
Autism spectrum disorder (ASD) is a common neurodevelopmental disorder with a multifarious clinical presentation. Even though many genetic risk factors have been identified and studied in mouse models, the neurophysiological mechanisms underlying the autistic phenotype are still unclear. Based on the high rates of comorbidity with epilepsy, it was hypothesized that the balance between excitation and inhibition in neural circuits may be disrupted in autistic individuals.
In this dissertation, synaptic and network activity was measured in three different genetically modified mouse models that exhibit the characteristic behavioral abnormalities of the disorder: the Neurobeachin (Nbea) haploinsufficient mouse, the Neuroligin-3 (Nlgn3) knockout (KO) mouse, and the Neuroligin-4 (Nlgn4) KO mouse. Each of the affected proteins is involved in the formation and/or function of synapses in the central nervous system. Therefore, it was posited that the reduction or deletion of these proteins might alter the balance of excitatory to inhibitory synaptic transmission in individual neurons and in neural circuits. Extracellular recordings in the hippocampal dentate gyrus of anesthetized mice revealed that the excitation-inhibition (E-I) balance was reduced in Nbea haploinsufficient and Nlgn4 KO mice, but unchanged in Nlgn3 KO mice despite a reduction in excitatory synaptic transmission to dentate granule cells. Unexpectedly, the intrinsic excitability of dentate granule cells was altered in all three mouse models. These results imply that a homeostatic increase in the intrinsic excitability is able to compensate for the decreased excitatory transmission in Nlgn3 KO mice, whereas the decreased intrinsic excitability in the Nbea haploinsufficient and Nlgn4 KO mice leads to a reduction in the E-I balance. Taken together, these findings suggest that the influence of genetic factors on the E-I balance might be a potential common mechanism underlying the development of ASD.
Der Gyrus dentatus ist eine anatomische Region im Hippocampus und besitzt die einzigartige Fähigkeit auch im adulten Gehirn lebenslang neue Nervenzellen zu generieren. Dieser Prozess wird als adulte Neurogenese bezeichnet, stellt eine besondere Form struktureller Plastizität dar und es wurde gezeigt, dass adult neugebildete Körnerzellen im Gyrus dentatus essentiell am Prozess des hippocampalen Lernens und der Gedächtnisausbildung beteiligt sind. Es wird vermutet, dass neue Körnerzellen aufgrund ihrer charakteristischen Eigenschaften verstärkt auf neue Informationsmuster reagieren können und darauf spezialisiert sind Muster, die eine hohe Ähnlichkeit zueinander haben zu separieren und diese Unterschiede zu kodieren. Obwohl bereits eine Vielzahl von wissenschaftlichen Studien zum Verständnis der Entwicklung und Funktion adult neugebildeter Körnerzellen beitragen konnte, bestehen immer noch Unklarheiten darin, wie sich diese neuen Nervenzellen strukturell entwickeln, wann es zu einer funktionellen Integration kommt und wie diese beiden Prozesse miteinander zusammenhängen. In den vorliegenden Arbeiten wurde die strukturelle Entwicklung und synaptische Integration adult neugebildeter Körnerzellen in das bestehende hippocampale Netzwerk der Ratte und Maus unter in vivo Bedingungen untersucht. Zur Beantwortung dieser Fragen wurden Methoden aus der Anatomie, Histologie und in vivo Elektrophysiologie kombiniert. Der Nachweis neuer Körnerzellen erfolgte entweder durch immunhistologische Färbungen gegen spezifische Marker für unreife und reife Körnerzellen, Markierungen mit Bromdesoxyuridin oder retro- bzw. adenovirale intrazerebrale Injektionen und Expression von GFP. Es wurde eine in vivo Stimulation des Tractus perforans in der anästhesierten Ratte zur Langzeitpotenzierung der Körnerzellsynapsen und anschließend eine immunhistologische Analyse der Expression von synaptischen Aktivitäts- und Plastizitätsmarkern in neugebildeten und reifen Körnerzellen nach der Stimulation durchgeführt. Zusätzlich wurden detaillierte drei-dimensionale Rekonstruktion dendritischer Bäume erstellt und dendritische Dornenfortsätze an retroviral markierten Zellen analysiert.
Die vorliegenden Daten belegen den generellen Verlauf der Entwicklung neugeborener Körnerzellen in zwei unterschiedliche Phasen: eine frühe dendritische Reifung und eine späte funktionelle und synaptische Integration. Neugeborene Körnerzellen zeigten ein rasches dendritisches Auswachsen, dass innerhalb der ersten drei bis vier Wochen abgeschlossen war. Während dieses Wachstumsprozesses passieren Dendriten nacheinander die Körnerzellschicht und anschließend die innere, mittlere und äußere Molekularschicht. Dadurch sind sie innerhalb ihrer morphologischen Entwicklungsphasen anatomisch auf spezifische präsynaptische Partner limitiert. In der wissenschaftlichen Literatur wird eine transiente kritische Phase beschrieben, in der neugeborene Körnerzellen eine starke Plastizität und sensitivere synaptische Erregbarkeit aufweisen. Obwohl die vorliegenden Resultate keine direkten Hinweise auf eine stärkere bzw. sensitivere Plastizität neugeborener Körnerzellen liefern, konnte eine Phase zwischen vier und fünf Wochen identifiziert werden, in der neue Körnerzellen einen sprunghaften Anstieg in ihrer Fähigkeit zur Expression synaptischer Aktivitätsmarker (z.B. Arc und c-fos) und Ausbildung struktureller Plastizität (Dendriten und Dornenfortsätze) zeigten. Die präsentierten Resultate machen deutlich, dass Dornenfortsätze neuer Körnerzellen nach elf Wochen eine vergleichbare Dichte, Größenverteilung und Plastizität aufzeigen, die vergleichbar mit denen vorhandener Körnerzellen sind. Die Fähigkeit zur dendritischen Plastizität nach synaptischer Aktivierung zeigten jedoch nur neugeborene Körnerzellen zwischen der vierten und fünften Woche. Diese Ergebnisse implizieren, dass die Integration neugebildeter Körnerzellen kontinuierlich verläuft und obwohl die vorliegenden Daten die Existenz einer dendritischen Plastizität und einen sprunghaften Anstieg synaptischer Plastizität in der vierten und fünften Woche belegen, wurden keine weiteren Hinweise auf eine transiente kritische Phase gefunden. Des Weiteren zeigten dendritische Bäume von gereiften adult neugeborenen und reifen Körnerzellen Unterschiede, die daraufhin deuten, dass neue Körnerzellen eine eigene Subpopulation darstellen.