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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.