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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.
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.
The prefrontal cortex (PFC) is considered the cognitive center of the mammalian brain. It is involved in a variety of cognitive functions such as decision making, working memory, goal-directed behavior, processing of emotions, flexible action selection, attention, and others (Fuster, 2015). In rodents, these functions are associated with the medial prefrontal cortex (mPFC). Experiments in mice and rats have shown that neurons in the mPFC are necessary for successful performance of many cognitive tasks. Moreover, measurements of neural activity in the mPFC show excitation or inhibition in different cells in relation to specific aspects of the tasks to be solved. To date, however, it is largely unknown whether prefrontal neurons are stably activated during the same behaviors within a task and whether similar aspects are represented by the same neurons in different tasks. In addition, it is unclear how specifically neurons are activated, for example, whether cells that are activated in response to reward are activated in a different task without reward in a different situation or remain inactive. To address these questions, we recorded the same neurons in the mPFC of mice over the course of several weeks while the animals performed various behaviors.
To do this, we expressed GCaMP6 in pyramidal neurons in the mPFC of mice. A small lens was implanted in the same location and a miniature microscope ("miniscope") was used to record neural activity. Later the extracted neurons got aligned based on their shape and position across multiple days and sessions. The mice performed five different behavioral tests while neural activity was measured: A spatial working memory test in a T-maze, exploration of the elevated plus maze (EPM), a novel object recognition (NO) test including free open field (OF) exploration, a social interaction (SI) test and discriminatory auditory fear conditioning (FC). Each task was repeated at least twice to check for stable task encoding across sessions. Behavioral performance and neural correlates to specific task events were similar to earlier studies across all tasks. We utilized generalized linear models (GLM) to determine which behavioral variables most strongly influence neural activity in the mPFC. The position of the mouse in the environment was found to explain most of the variance in neural activity, together with movement speed they were the strongest predictors of neural activity across all tasks. Reward time points in the working memory test, the conditioned stimulus after fear conditioning, or head direction in general were also strongly encoded in the mPFC.
Many of the recorded neurons showed a stable spatial activity profile across multiple sessions of the same task. Similarly, cells that coded for position in one task tended to code for position in other tasks. Not only did the same cells code for position across multiple tasks, but cells also coded for movement speed and head direction. This indicates that at least these general behavioral variables are each represented by the same neurons in the mPFC. Interestingly, the stability of position or speed coding did not depend on the time between two sessions, but only on whether it was within the same or across different tasks. Within the same task, stability was slightly higher than across different tasks.
To find out whether task-specific behavioral aspects were also stably encoded in the mPFC, difference scores as the difference in neural activity between two task aspects like left- and right-choice trials or exposed and enclosed locations were calculated. Many cells encoded these aspects stably across different sessions of each task. Both the left-right differences in the different phases of the working memory test, the open-closed-arm differences in the elevated plus maze, the different activity between center and corners in the open field, the social target-object differences in the social interaction test, and the differences between the two tones during fear conditioning were all stably encoded across the population of mPFC cells. Only the distinction between the novel and the familiar object during object recognition was not stably encoded, but also the preference for the novel object was not present in the second session of novel object exploration.
There was also an overlap in coding for different aspects within a task across multiple sessions. For example, cells stably encoded left-right differences in the T-maze between different sessions as a function of walking direction across different phases of working memory, an aspect that we could already show within one session (Vogel, Hahn et al., 2022). During fear conditioning, the same cells showed a discrimination between CS+ and CS- that also responded to the start of CS+.
Consistency in the neurons activity across different tasks was also found, but only between tasks with similar demands, the elevated plus-maze and free exploration of the open field. Cells that were more active in the open arms also showed more activity in the center of the open field and vice versa. This could be an indicator that the cells were coding for anxiety or exposure across those tasks, indicating that neurons in the mPFC also stably encode general task aspects independent of the specific environment. However, it remains unclear what exactly these neurons encode; in the case of a general fear signal, one would also expect activation during fear conditioning which could not be found.
Overall, we found that neurons in the mPFC of mice encoded multiple general behavioral variables across multiple tasks and task-specific variables were encoded stably within each of the tested tasks. However, we found little task-specific variables that were systematically encoded by the same neurons with the exception being the elevated plus-maze and open field exploration, two tasks with similar features.
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.
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 nucleus reuniens drives hippocampal goal‑directed trajectory sequences for route planning
(2023)
Goal-directed spatial navigation requires accurate estimates of one’s position and destination, as well as careful planning of a route between them to avoid known obstacles in the environment. Despite its general importance across species, the neural circuitry supporting the ability for route planning remains largely unclear. Previous studies described that place cells in the hippocampal CA1 encode the animal's next movement direction (Wood et al., 2000; Ito et al., 2015) and upcoming navigational routes (Pfeiffer & Foster, 2013). However, it has been shown that part of the CA1 activity representing the animal’s future behaviors is not necessarily generated in the hippocampus, but is derived from the medial prefrontal cortex (PFC) via the nucleus reuniens of the thalamus (RE) (Ito et al., 2015). Notably, the importance of the PFC in navigation has been demonstrated in several studies, including the recent finding of a goal map in the orbitofrontal cortex (Basu et al., 2021). Therefore, I hypothesized that information flow from the PFC to CA1 via the RE plays a key role in route planning.
To assess the animals' route planning ability, I designed a new navigation task in which a rat has to navigate to a fixed target location from various starting positions in an arena. Furthermore, by adding an L-shaped wall in the maze and removing all light sources in the experimental room, this task forced the animals to plan a wall-avoiding route without relying on direct sensory perceptions. I confirmed that rats could learn this task successfully, memorizing the wall location and taking a smooth wall-avoidance route. To test the role of the RE, I inactivated RE neurons by expressing the inhibitory opsin SwiChR++, which resulted in a significant deficit in the animal’s route planning ability, taking a longer non-smooth path to the destination. By contrast, this manipulation did not affect navigation performance when a straight goal-directed route was available, suggesting a specific role of the RE in route planning. I further found that DREADDs-mediated inactivation of neurons in the bilateral hippocampi resulted in a similar deficit in route planning ability, implying cooperation between the RE and the hippocampus.
I finally examined the activity of hippocampal CA1 neurons with and without RE inactivation. While neurons in the hippocampus exhibited brief trajectory sequences corresponding to the animal’s subsequent goal-directed journey, I found that this goal-directed bias of trajectory events was significantly reduced by RE inactivation, likely associated with route-planning deficits in these animals.
Altogether, this dissertation demonstrates the role of the RE from both behavioral and neural coding perspectives, identifying a pivotal circuit element supporting the animal’s route-planning ability.
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. ...
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.
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.
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.