845 resultados para cortical synchrony


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Le sommeil est essentiel au bon fonctionnement de l’organisme. Ce dernier est régulé, entre autres, par le processus de régulation homéostatique qui dépend de la pression de sommeil accumulée suite à l’éveil. Des études ont suggéré que ce processus pourrait être lié à la plasticité synaptique, et que le changement de la pression de sommeil affecterait le degré de plasticité du cerveau. Les récepteurs N-méthyl-D-aspartate, des médiateurs importants de plasticité, semblent impliqués dans les conséquences délétères du manque de sommeil ainsi que dans la régulation de la synchronisation corticale caractéristique du sommeil lent profond. Leur activité est contrôlée par Neuroligine 1 (NLGN1), une molécule d’adhésion synaptique. Une mutation de Nlgn1 a des effets similaires à ceux de la privation de sommeil sur la mémoire et le comportement. Dans le manuscrit de mon mémoire, nous présentons l’hypothèse d’une implication de NLGN1 dans la régulation du sommeil et de l’éveil. Pour tester cette hypothèse, l’expression d’ARNm et de protéine NLGN1 a été mesurée suite à une privation de sommeil et le sommeil de souris n’exprimant pas NLGN1 a été caractérisé. Les résultats de mon projet de maîtrise montrent, en premier lieu, qu’une augmentation de la pression pour dormir altère l’expression de l’ARNm et de la protéine NLGN1 chez la souris. De plus, nos observations révèlent qu’une mutation de Nlgn1 diminue la quantité d’éveil et modifie l’activité spectrale en éveil et en sommeil. Ces observations dévoilent l’importance de NLGN1 dans le maintien de l’éveil et la régulation du sommeil, et supportent un rôle de NLGN1 dans la régulation de l’activité neuronale.

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Le sommeil est un besoin vital et le bon fonctionnement de l’organisme dépend de la quantité et de la qualité du sommeil. Le sommeil est régulé par deux processus : un processus circadien qui dépend de l’activité des noyaux suprachiasmatiques de l’hypothalamus et qui régule le moment durant lequel nous allons dormir, et un processus homéostatique qui dépend de l’activité neuronale et se reflète dans l’intensité du sommeil. En effet, le sommeil dépend de l’éveil qui le précède et plus l’éveil dure longtemps, plus le sommeil est profond tel que mesuré par des marqueurs électroencéphalographiques (EEG). Des études ont montré que le bon fonctionnement de ces deux processus régulateurs du sommeil dépend de la plasticité synaptique. Ainsi, les éléments synaptiques régulant la communication et la force synaptique sont d’importants candidats pour agir sur la physiologie de la régulation du sommeil. Les molécules d’adhésion cellulaire sont des acteurs clés dans les mécanismes de plasticité synaptique. Elles régulent l’activité et la maturation des synapses. Des études ont montré que leur absence engendre des conséquences similaires au manque de sommeil. Le but de ce projet de thèse est d’explorer l’effet de l’absence de deux familles de molécule d’adhésion cellulaire, les neuroligines et la famille des récepteur Eph et leur ligand les éphrines dans les processus régulateurs du sommeil. Notre hypothèse est que l’absence d’un des membres de ces deux familles de molécule affecte les mécanismes impliqués dans le processus homéostatique de régulation du sommeil. Afin de répondre à notre hypothèse, nous avons étudié d’une part l’activité EEG chez des souris mutantes n’exprimant pas Neuroligine‐1 (Nlgn1) ou le récepteur EphA4 en condition normale et après une privation de sommeil. D’autre part, nous avons mesuré les changements moléculaires ayant lieu dans ces deux modèles après privation de sommeil. Au niveau de l’activité EEG, nos résultats montrent que l’absence de Nlgn1 augmente la densité des ondes lentes en condition normale et augment l’amplitude et la pente des ondes lentes après privation de sommeil. Nlgn1 est nécessaire au fonctionnement normal de la synchronie corticale, notamment après une privation de sommeil, lui attribuant ainsi un rôle clé dans l’homéostasie du sommeil. Concernant le récepteur EphA4, son absence affecte la durée du sommeil paradoxal ainsi que l’activité sigma qui dépendent du processus circadien. Nos résultats suggèrent donc que ce récepteur est un élément important dans la régulation circadienne du sommeil. Les changements transcriptionnels en réponse à la privation de sommeil des souris n’exprimant pas Nlgn1 et EphA4 ne sont pas différents des souris sauvages. Toutefois, nous avons montré que la privation de sommeil affectait la distribution des marques épigénétiques sur le génome, tels que la méthylation et l’hydroxyméthylation, et que l’expression des molécules régulant ces changements est modifiée chez les souris mutantes pour le récepteur EphA4. Nos observations mettent en évidence que les molécules d’adhésion cellulaire, Nlgn1 et le récepteur EphA4, possèdent un rôle important dans les processus homéostatique et circadien du sommeil et contribuent de manière différente à la régulation du sommeil.

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Le sommeil est un besoin vital et le bon fonctionnement de l’organisme dépend de la quantité et de la qualité du sommeil. Le sommeil est régulé par deux processus : un processus circadien qui dépend de l’activité des noyaux suprachiasmatiques de l’hypothalamus et qui régule le moment durant lequel nous allons dormir, et un processus homéostatique qui dépend de l’activité neuronale et se reflète dans l’intensité du sommeil. En effet, le sommeil dépend de l’éveil qui le précède et plus l’éveil dure longtemps, plus le sommeil est profond tel que mesuré par des marqueurs électroencéphalographiques (EEG). Des études ont montré que le bon fonctionnement de ces deux processus régulateurs du sommeil dépend de la plasticité synaptique. Ainsi, les éléments synaptiques régulant la communication et la force synaptique sont d’importants candidats pour agir sur la physiologie de la régulation du sommeil. Les molécules d’adhésion cellulaire sont des acteurs clés dans les mécanismes de plasticité synaptique. Elles régulent l’activité et la maturation des synapses. Des études ont montré que leur absence engendre des conséquences similaires au manque de sommeil. Le but de ce projet de thèse est d’explorer l’effet de l’absence de deux familles de molécule d’adhésion cellulaire, les neuroligines et la famille des récepteur Eph et leur ligand les éphrines dans les processus régulateurs du sommeil. Notre hypothèse est que l’absence d’un des membres de ces deux familles de molécule affecte les mécanismes impliqués dans le processus homéostatique de régulation du sommeil. Afin de répondre à notre hypothèse, nous avons étudié d’une part l’activité EEG chez des souris mutantes n’exprimant pas Neuroligine‐1 (Nlgn1) ou le récepteur EphA4 en condition normale et après une privation de sommeil. D’autre part, nous avons mesuré les changements moléculaires ayant lieu dans ces deux modèles après privation de sommeil. Au niveau de l’activité EEG, nos résultats montrent que l’absence de Nlgn1 augmente la densité des ondes lentes en condition normale et augment l’amplitude et la pente des ondes lentes après privation de sommeil. Nlgn1 est nécessaire au fonctionnement normal de la synchronie corticale, notamment après une privation de sommeil, lui attribuant ainsi un rôle clé dans l’homéostasie du sommeil. Concernant le récepteur EphA4, son absence affecte la durée du sommeil paradoxal ainsi que l’activité sigma qui dépendent du processus circadien. Nos résultats suggèrent donc que ce récepteur est un élément important dans la régulation circadienne du sommeil. Les changements transcriptionnels en réponse à la privation de sommeil des souris n’exprimant pas Nlgn1 et EphA4 ne sont pas différents des souris sauvages. Toutefois, nous avons montré que la privation de sommeil affectait la distribution des marques épigénétiques sur le génome, tels que la méthylation et l’hydroxyméthylation, et que l’expression des molécules régulant ces changements est modifiée chez les souris mutantes pour le récepteur EphA4. Nos observations mettent en évidence que les molécules d’adhésion cellulaire, Nlgn1 et le récepteur EphA4, possèdent un rôle important dans les processus homéostatique et circadien du sommeil et contribuent de manière différente à la régulation du sommeil.

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This article develops the Synchronous Matching Adaptive Resonance Theory (SMART) neural model to explain how the brain may coordinate multiple levels of thalamocortical and corticocortical processing to rapidly learn, and stably remember, important information about a changing world. The model clarifies how bottom-up and top-down processes work together to realize this goal, notably how processes of learning, expectation, attention, resonance, and synchrony are coordinated. The model hereby clarifies, for the first time, how the following levels of brain organization coexist to realize cognitive processing properties that regulate fast learning and stable memory of brain representations: single cell properties, such as spiking dynamics, spike-timing-dependent plasticity (STDP), and acetylcholine modulation; detailed laminar thalamic and cortical circuit designs and their interactions; aggregate cell recordings, such as current-source densities and local field potentials; and single cell and large-scale inter-areal oscillations in the gamma and beta frequency domains. In particular, the model predicts how laminar circuits of multiple cortical areas interact with primary and higher-order specific thalamic nuclei and nonspecific thalamic nuclei to carry out attentive visual learning and information processing. The model simulates how synchronization of neuronal spiking occurs within and across brain regions, and triggers STDP. Matches between bottom-up adaptively filtered input patterns and learned top-down expectations cause gamma oscillations that support attention, resonance, and learning. Mismatches inhibit learning while causing beta oscillations during reset and hypothesis testing operations that are initiated in the deeper cortical layers. The generality of learned recognition codes is controlled by a vigilance process mediated by acetylcholine.

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A neural network model of synchronized oscillations in visual cortex is presented to account for recent neurophysiological findings that such synchronization may reflect global properties of the stimulus. In these experiments, synchronization of oscillatory firing responses to moving bar stimuli occurred not only for nearby neurons, but also occurred between neurons separated by several cortical columns (several mm of cortex) when these neurons shared some receptive field preferences specific to the stimuli. These results were obtained for single bar stimuli and also across two disconnected, but colinear, bars moving in the same direction. Our model and computer simulations obtain these synchrony results across both single and double bar stimuli using different, but formally related, models of preattentive visual boundary segmentation and attentive visual object recognition, as well as nearest-neighbor and randomly coupled models.

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A neural network model of synchronized oscillator activity in visual cortex is presented in order to account for recent neurophysiological findings that such synchronization may reflect global properties of the stimulus. In these recent experiments, it was reported that synchronization of oscillatory firing responses to moving bar stimuli occurred not only for nearby neurons, but also occurred between neurons separated by several cortical columns (several mm of cortex) when these neurons shared some receptive field preferences specific to the stimuli. These results were obtained not only for single bar stimuli but also across two disconnected, but colinear, bars moving in the same direction. Our model and computer simulations obtain these synchrony results across both single and double bar stimuli. For the double bar case, synchronous oscillations are induced in the region between the bars, but no oscillations are induced in the regions beyond the stimuli. These results were achieved with cellular units that exhibit limit cycle oscillations for a robust range of input values, but which approach an equilibrium state when undriven. Single and double bar synchronization of these oscillators was achieved by different, but formally related, models of preattentive visual boundary segmentation and attentive visual object recognition, as well as nearest-neighbor and randomly coupled models. In preattentive visual segmentation, synchronous oscillations may reflect the binding of local feature detectors into a globally coherent grouping. In object recognition, synchronous oscillations may occur during an attentive resonant state that triggers new learning. These modelling results support earlier theoretical predictions of synchronous visual cortical oscillations and demonstrate the robustness of the mechanisms capable of generating synchrony.

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Many studies have reported long-range synchronization of neuronal activity between brain areas, in particular in the beta and gamma bands with frequencies in the range of 14–30 and 40–80 Hz, respectively. Several studies have reported synchrony with zero phase lag, which is remarkable considering the synaptic and conduction delays inherent in the connections between distant brain areas. This result has led to many speculations about the possible functional role of zero-lag synchrony, such as for neuronal communication, attention, memory, and feature binding. However, recent studies using recordings of single-unit activity and local field potentials report that neuronal synchronization may occur with non-zero phase lags. This raises the questions whether zero-lag synchrony can occur in the brain and, if so, under which conditions. We used analytical methods and computer simulations to investigate which connectivity between neuronal populations allows or prohibits zero-lag synchrony. We did so for a model where two oscillators interact via a relay oscillator. Analytical results and computer simulations were obtained for both type I Mirollo–Strogatz neurons and type II Hodgkin–Huxley neurons. We have investigated the dynamics of the model for various types of synaptic coupling and importantly considered the potential impact of Spike-Timing Dependent Plasticity (STDP) and its learning window. We confirm previous results that zero-lag synchrony can be achieved in this configuration. This is much easier to achieve with Hodgkin–Huxley neurons, which have a biphasic phase response curve, than for type I neurons. STDP facilitates zero-lag synchrony as it adjusts the synaptic strengths such that zero-lag synchrony is feasible for a much larger range of parameters than without STDP.

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Gamma frequency (about 20–70 Hz) oscillations occur during novel sensory stimulation, with tight synchrony over distances of at least 7 mm. Synchronization in the visual system has been proposed to reflect coactivation of different parts of the visual field by a single spatially extended object. We have shown that intracortical mechanisms, including spike doublet firing by interneurons, can account for tight long-range synchrony. Here we show that synchronous gamma oscillations in two sites also can cause long-lasting (>1 hr) potentiation of recurrent excitatory synapses. Synchronous oscillations lasting >400 ms in hippocampal area CA1 are associated with an increase in both excitatory postsynaptic potential (EPSP) amplitude and action potential afterhyperpolarization size. The resulting EPSPs stabilize and synchronize a prolonged beta frequency (about 10–25 Hz) oscillation. The changes in EPSP size are not expressed during non-oscillatory behavior but reappear during subsequent gamma-oscillatory events. We propose that oscillation-induced EPSPs serve as a substrate for memory, whose expression either enhances or blocks synchronization of spatially separated sites. This phenomenon thus provides a dynamical mechanism for storage and retrieval of stimulus-specific neuronal assemblies.

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Although neuronal synchronization has been shown to exist in primary motor cortex (MI), very little is known about its possible contribution to coding of movement. By using cross-correlation techniques from multi-neuron recordings in MI, we observed that activity of neurons commonly synchronized around the time of movement initiation. For some cell pairs, synchrony varied with direction in a manner not readily predicted by the firing of either neuron. Information theoretic analysis demonstrated quantitatively that synchrony provides information about movement direction beyond that expected by simple rate changes. Thus, MI neurons are not simply independent encoders of movement parameters but rather engage in mutual interactions that could potentially provide an additional coding dimension in cortex.

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If two images are shown in rapid sequential order, they are perceived as a single, fused image. Despite this, recent studies have revealed that fundamental perceptual processes are influenced by extremely brief temporal offsets in stimulus presentation. Some researchers have suggested that this is due to the action of a cortical temporal-binding mechanism, which would serve to keep multiple mental representations of one object distinct from those of other objects. There is now gathering evidence that these studies should be reassessed. This article describes evidence for sensitivity to fixational eye and head movements, which provides a purely spatial explanation for the earlier results. Taken in conjunction with other studies, the work serves to undermine the current body of behavioral evidence for a temporal-binding mechanism.

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Human swallowing represents a complex highly coordinated sensorimotor function whose functional neuroanatomy remains incompletely understood. Specifically, previous studies have failed to delineate the temporo-spatial sequence of those cerebral loci active during the differing phases of swallowing. We therefore sought to define the temporal characteristics of cortical activity associated with human swallowing behaviour using a novel application of magnetoencephalography (MEG). In healthy volunteers (n = 8, aged 28-45), 151-channel whole cortex MEG was recorded during the conditions of oral water infusion, volitional wet swallowing (5 ml bolus), tongue thrust or rest. Each condition lasted for 5 s and was repeated 20 times. Synthetic aperture magnetometry (SAM) analysis was performed on each active epoch and compared to rest. Temporal sequencing of brain activations utilised time-frequency wavelet plots of regions selected using virtual electrodes. Following SAM analysis, water infusion preferentially activated the caudolateral sensorimotor cortex, whereas during volitional swallowing and tongue movement, the superior sensorimotor cortex was more strongly active. Time-frequency wavelet analysis indicated that sensory input from the tongue simultaneously activated caudolateral sensorimotor and primary gustatory cortex, which appeared to prime the superior sensory and motor cortical areas, involved in the volitional phase of swallowing. Our data support the existence of a temporal synchrony across the whole cortical swallowing network, with sensory input from the tongue being critical. Thus, the ability to non-invasively image this network, with intra-individual and high temporal resolution, provides new insights into the brain processing of human swallowing. © 2004 Elsevier Inc. All rights reserved.

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Because of attentional limitations, the human visual system can process for awareness and response only a fraction of the input received. Lesion and functional imaging studies have identified frontal, temporal, and parietal areas as playing a major role in the attentional control of visual processing, but very little is known about how these areas interact to form a dynamic attentional network. We hypothesized that the network communicates by means of neural phase synchronization, and we used magnetoencephalography to study transient long-range interarea phase coupling in a well studied attentionally taxing dual-target task (attentional blink). Our results reveal that communication within the fronto-parieto-temporal attentional network proceeds via transient long-range phase synchronization in the beta band. Changes in synchronization reflect changes in the attentional demands of the task and are directly related to behavioral performance. Thus, we show how attentional limitations arise from the way in which the subsystems of the attentional network interact. The human brain faces an inestimable task of reducing a potentially overloading amount of input into a manageable flow of information that reflects both the current needs of the organism and the external demands placed on it. This task is accomplished via a ubiquitous construct known as “attention,” whose mechanism, although well characterized behaviorally, is far from understood at the neurophysiological level. Whereas attempts to identify particular neural structures involved in the operation of attention have met with considerable success (1-5) and have resulted in the identification of frontal, parietal, and temporal regions, far less is known about the interaction among these structures in a way that can account for the task-dependent successes and failures of attention. The goal of the present research was, thus, to unravel the means by which the subsystems making up the human attentional network communicate and to relate the temporal dynamics of their communication to observed attentional limitations in humans. A prime candidate for communication among distributed systems in the human brain is neural synchronization (for review, see ref. 6). Indeed, a number of studies provide converging evidence that long-range interarea communication is related to synchronized oscillatory activity (refs. 7-14; for review, see ref. 15). To determine whether neural synchronization plays a role in attentional control, we placed humans in an attentionally demanding task and used magnetoencephalography (MEG) to track interarea communication by means of neural synchronization. In particular, we presented 10 healthy subjects with two visual target letters embedded in streams of 13 distractor letters, appearing at a rate of seven per second. The targets were separated in time by a single distractor. This condition leads to the “attentional blink” (AB), a well studied dual-task phenomenon showing the reduced ability to report the second of two targets when an interval <500 ms separates them (16-18). Importantly, the AB does not prevent perceptual processing of missed target stimuli but only their conscious report (19), demonstrating the attentional nature of this effect and making it a good candidate for the purpose of our investigation. Although numerous studies have investigated factors, e.g., stimulus and timing parameters, that manipulate the magnitude of a particular AB outcome, few have sought to characterize the neural state under which “standard” AB parameters produce an inability to report the second target on some trials but not others. We hypothesized that the different attentional states leading to different behavioral outcomes (second target reported correctly or not) are characterized by specific patterns of transient long-range synchronization between brain areas involved in target processing. Showing the hypothesized correspondence between states of neural synchronization and human behavior in an attentional task entails two demonstrations. First, it needs to be demonstrated that cortical areas that are suspected to be involved in visual-attention tasks, and the AB in particular, interact by means of neural synchronization. This demonstration is particularly important because previous brain-imaging studies (e.g., ref. 5) only showed that the respective areas are active within a rather large time window in the same task and not that they are concurrently active and actually create an interactive network. Second, it needs to be demonstrated that the pattern of neural synchronization is sensitive to the behavioral outcome; specifically, the ability to correctly identify the second of two rapidly succeeding visual targets

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Tonic conductance mediated by extrasynaptic GABAA receptors has been implicated in the modulation of network oscillatory activity. Using an in vitro brain slice to produce oscillatory activity and a kinetic model of GABAA receptor dynamics, we show that changes in tonic inhibitory input to fast spiking interneurons underlie benzodiazepine-site mediated modulation of neuronal network synchrony in rat primary motor cortex. We found that low concentrations (10 nM) of the benzodiazepine site agonist, zolpidem, reduced the power of pharmacologically-induced beta-frequency (15–30 Hz) oscillatory activity. By contrast, higher doses augmented beta power. Application of the antagonist, flumazenil, also increased beta power suggesting endogenous modulation of the benzodiazepine binding site. Voltage-clamp experiments revealed that pharmacologically-induced rhythmic inhibitory postsynaptic currents were reduced by 10 nM zolpidem, suggesting an action on inhibitory interneurons. Further voltage -clamp studies of fast spiking cells showed that 10 nM zolpidem augmented a tonic inhibitory GABAA receptor mediated current in fast spiking cells whilst higher concentrations of zolpidem reduced the tonic current. A kinetic model of zolpidem-sensitive GABAA receptors suggested that incubation with 10 nM zolpidem resulted in a high proportion of GABAA receptors locked in a kinetically slow desensitized state whilst 30 nM zolpidem favoured rapid transition into and out of desensitized states. This was confirmed experimentally using a challenge with saturating concentrations of GABA. Selective modulation of an interneuron-specific tonic current may underlie the reversal of cognitive and motor deficits afforded by low-dose zolpidem in neuropathological states.

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Investigated human visual processing of simple two-colour patterns using a delayed match to sample paradigm with positron emission tomography (PET). This study is unique in that the authors specifically designed the visual stimuli to be the same for both pattern and colour recognition with all patterns being abstract shapes not easily verbally coded composed of two-colour combinations. The authors did this to explore those brain regions required for both colour and pattern processing and to separate those areas of activation required for one or the other. 10 right-handed male volunteers aged 18–35 yrs were recruited. The authors found that both tasks activated similar occipital regions, the major difference being more extensive activation in pattern recognition. A right-sided network that involved the inferior parietal lobule, the head of the caudate nucleus, and the pulvinar nucleus of the thalamus was common to both paradigms. Pattern recognition also activated the left temporal pole and right lateral orbital gyrus, whereas colour recognition activated the left fusiform gyrus and several right frontal regions.