Les modèles actuels de perception de la parole suggèrent un couplage étroit entre les rythmes cérébraux, caractérisés par les oscillations neuronales, et le rythme de la parole, permettant de segmenter le flux verbal continu en unités linguistiques pertinentes pour la reconnaissance. En particulier, les modulations lentes d’amplitude de l’enveloppe temporelle de la parole, véhiculant l’information syllabique et prosodique, sont capables d’« entrainer » les oscillations corticales auditives dans la bande de fréquence thêta (4-7 Hz), échantillonnant le signal verbal en unités syllabiques. L’information temporelle qui caractérise la parole joue un rôle fondamental dans l’acquisition et le développement du langage ; un déficit de traitement des indices rythmiques de la parole a d’ailleurs été décrit dans les troubles développementaux du langage. L’objectif de ce travail de thèse était de mieux comprendre les processus neurocognitifs sous-tendant la perception du rythme de la parole naturelle chez l’enfant présentant un développement langagier typique ou atypique (dysphasie) dans trois études. Une première étude en magnétoencéphalographie (MEG) a permis de dévoiler la dynamique corticale oscillatoire chez des enfants francophones neurotypiques (8-13 ans) lors de l’écoute de phrases naturellement produites à un débit normal ou rapide. Nos résultats suggèrent l’existence de deux phénomènes d’« entrainment » des oscillations sur l’enveloppe temporelle de la parole à débit normal, l’un dans la bande thêta au sein des régions auditives droites, l’autre dans une bande centrée sur le débit syllabique moyen des stimuli dans les régions temporales antérieures gauches. Dans la condition de parole rapide, une synchronisation cortico-acoustique a été mise en évidence dans la bande thêta au sein des régions (pré)motrices gauches, reflétant le rôle de la voie dorsale d’intégration sensori-motrice dans les conditions d’écoute difficiles mais aussi dans le développement du langage oral. Les deux études suivantes ont été réalisées chez des enfants présentant une dysphasie expressive (8-13 ans) afin de tester l’hypothèse d’un trouble de traitement du rythme syllabique chez ces enfants, potentiellement sous-tendu par une dynamique corticale oscillatoire atypique. Dans une étude comportementale, nous avons évalué les capacités des enfants dysphasiques à décoder de la parole naturellement produite à débit normal ou rapide, ou accélérée artificiellement. Nous avons montré des performances réduites chez ces enfants, en regard d’enfants neurotypiques, pour traiter des phrases accélérées naturellement et artificiellement, suggérant un déficit d’extraction du rythme de la parole lorsque la fréquence des modulations de l’enveloppe temporelle augmente. Une étude en MEG, identique à celle réalisée chez les enfants neurotypiques, nous a permis d’apporter de premiers éléments en faveur de cette interprétation en révélant un traitement cortical atypique de l’information syllabique dans la dysphasie, qui pourrait rendre compte des troubles phonologiques et morpho-syntaxiques souvent décrits dans ce trouble neuro-développemental. Une synchronisation réduite des oscillations thêta du cortex auditif a ainsi été mise en évidence chez les enfants dysphasiques par rapport à leurs pairs lors de la perception de parole à débit normal. L’absence d’alignement de l’activité oscillatoire des régions prémotrices sur l’enveloppe temporelle des phrases à débit rapide nous a en outre conduit à émettre l’hypothèse d’un dysfonctionnement de la voie dorsale chez ces enfants. Dans l’ensemble, ce travail de thèse fournit donc, pour la première fois à notre connaissance, des preuves expérimentales (i) de la synchronisation entre rythmes corticaux et rythme de la parole naturelle chez les enfants à développement langagier typique et (ii) d’une dynamique oscillatoire atypique lors de la perception de parole à débit normal et rapide chez les enfants dysphasiques. / Current models of speech perception suggest a close correspondence between brain rhythms, characterized by neuronal oscillations, and speech rhythm, which would allow the brain to parse the incoming speech signal into relevant linguistic units for decoding. Slow amplitude modulations in speech temporal envelope, which convey syllabic and prosodic information, have been shown to entrain oscillatory activity of auditory cortex in the theta frequency band (4-7 Hz), sampling the acoustic signal into syllable-sized units. Temporal information in speech is a foundation for oral language acquisition and development; accordingly, deficits in processing speech rhythmic cues have been described in developmental language disorders. This thesis sought to throw light on the neurocognitive processes underlying the perception of natural speech in children with typical and atypical language development (Specific Language Impairment – SLI – or Developmental Language Disorder – DLD) in three experimental studies. In a first magnetoencephalography (MEG) study, we unraveled the oscillatory dynamics in a group of French-speaking typically-developing children aged 8 to 13 years old during listening to naturally-produced sentences either at a normal or fast rate. Our results suggested two types of entrainment of cortical oscillations on the temporal envelope of normal rate speech: the first one occurred in the theta band in right auditory cortex whereas the second one was found in a frequency band centered on the mean syllabic rate of our stimuli in left anterior temporal regions. As to the fast rate condition, we showed cortico-acoustic coupling in the theta band in left (pre)motor areas, reflecting the role of the sensorimotor dorsal pathway in challenging listening conditions as well as in language development. In two other studies, we tested the hypothesis of an impairment to process speech syllabic rhythm, potentially underpinned by atypical oscillatory cortical dynamics, in children with developmental language disorders mainly at the expressive level. In a behavioral study, we examined how French-speaking children with expressive DLD (8-13 years old) processed speech naturally produced at a normal or fast rate, or artificially accelerated. Our results showed poorer performance to decode fast sentences, either accelerated naturally or artificially, in these children as compared to their typically-developing peers, which suggests a deficit in extracting speech syllabic information with increased modulation frequency in the amplitude envelope. The last study, identical to the first one in MEG conducted in typically-developing children, provided the first piece of evidence in favor of this interpretation by showing atypical cortical processing of syllabic information in children with DLD, which may account for the phonological and morpho-syntactic deficits frequently described in this developmental disorder. Reduced alignment of theta oscillatory activity in auditory cortex to normal rate speech has indeed been evidenced in children with DLD as compared to typically-developing children. Lack of synchronization of oscillations in left (pre)motor regions to amplitude envelope of fast rate sentences was also observed, which we interpreted as potential dysfunction of the dorsal stream in this population. To the best of our knowledge, the findings obtained in this thesis therefore provide first experimental evidence for (i) coupling between brain rhythms and rhythm of naturally produced speech in typically-developing children and (ii) atypical oscillatory cortical dynamics underlying normal and fast rate speech in children with developmental language disorders.

Le processus du traitement de la parole est latéralisé au niveau cortical. En effet la théorie de l’échantillonnage asymétrique suggère que le signal acoustique est segmenté sous forme d’unités discrètes, et ensuite traité par les deux cortex auditifs non primaires en utilisant des fenêtres d’intégrations respectivement adaptées aux traitements des modulations lentes et rapides du signal de la parole. L’objectif de cette thèse était d’étudier les concepts de cette théorie au moyen de deux approches (psychophysique et neurophysiologique), en s’intéressant à l’activation corticale dans les deux hémisphères en fonction de la nature du signal auditif présenté. Les résultats révèlent que les scores d’intelligibilité de ces stimuli sont plus importants quand les modulations rapides arrivent au cortex auditif gauche et les modulations lentes arrivent au cortex auditif droit. Les résultats de l’IRMf démontrent une interaction entre l’enveloppe des stimuli présentés et les rythmes corticaux. Les deux cortex auditifs présentaient des asymétries inter-hémisphériques en réponse à ces stimuli. En outre, l’activité neuronale augmente avec les performances. Dans l'ensemble, les résultats de nos études vont dans le sens des prédictions de la théorie d’échantillonnage asymétrique. Nous supposons que, l’application des effets de la théorie de la latéralisation auditive dans le traitement du signal auditif pourrait améliorer la perception de la parole chez les personnes sourdes profonds en développant les stratégies de codage des Implants cochléaire de manière à les alignées sur les propriétés corticales d’échantillonnages intrinsèques / Speech perception consists of a set of bilateral computations that take continuously varying acoustic waveforms as input and generate discrete representations. Hypothesis of ‘asymmetric sampling in time’, suggests that auditory functional asymmetries can be explained by differences in temporal sampling between the two auditory cortices. We suggest that asymmetry in auditory cortical oscillations could play a role in speech perception by fostering hemispheric triage of information across the two hemispheres. Due to this asymmetry, fast speech temporal modulations, could be best perceived by the left auditory cortex, while slower modulations would be better captured by the right one. The aim of this thesis was to study and to test the validity of the predictions of the AST theory by investigating psychophysical and neurophysiological approach. They focus on the cortical activation in both hemispheres according to the nature of the auditory signal presented to both ears. Our results show that when we provide a different part of the speech envelope to each ear, word recognition is facilitated when the temporal properties of speech match the rhythmic properties of auditory cortices. We further show that the interaction between speech envelope and auditory cortices rhythms translates in their level of neural activity (as measured with fMRI). In the left auditory cortex, the neural activity level related to stimulus/brain rhythm interaction predicts speech perception facilitation. This interaction impacts speech perception performance. We propose that this lateralization effect could have practical implications in the framework of bilateral cochlear implants

No description available.

Slow-wave sleep plays an important role in consolidation of declarative memory. From electrophysiological point of view, this process is dependent on a common occurrence and mutual integration of neocortical slow oscillations (< 1 Hz), hippocampal sharp-wave ripples (150-250 Hz) and thalamo-cortical sleep spindles (10-15 Hz). Previous studies demonstrated that periodic acoustic stimulation by pink noise pulses applied at frequency of sleep slow oscillation during slow wave sleep leads to prolongation of slow wave sleep and to enhancement in declarative memory performance in normal sleepers. Our study investigated this kind of periodic acoustic stimulation in its relation to sleep architecture and declarative memory of people suffering from insomnia due to which there often comes to a reduction in slow wave sleep which positively correlates with worsening of declarative memory performance. Our aim was to investigate if this kind of comparatively non-invasive brain stimulation has a potential to increase a total length of slow wave sleep and enhance declarative memory performance in insomnia. Our study revealed acoustic stimulation neither improved declarative memory performance nor it increased total length of slow-wave sleep. No positive association was found between level of declarative memory...

<p><a></a><a>The visual system is capable of interpreting immense sensory complexity, allowing us to quickly identify behaviorally relevant stimuli in the environment. It performs this task with a hierarchical organization that works to detect, relay, and integrate visual stimulus features into an interpretable form. To understand the complexities of this system, visual neuroscientists have benefited from the many advantages of using mice as visual models. Despite their poor visual acuity, these animals possess surprisingly complex visual systems, and have been instrumental in understanding how visual features are processed in the primary visual cortex (V1). However, a growing body of literature has shown that primary sensory areas like V1 are capable of more than basic feature detection, but can express neural activity patterns related to learning, memory, categorization, and prediction. </a></p> <p>Visual experience fundamentally changes the encoding and perception of visual stimuli at many scales, and allows us to become familiar with environmental cues. However, the neural processes that govern visual familiarity are poorly understood. By exposing awake mice to repetitively presented visual stimuli over several days, we observed the emergence of low frequency oscillations in the primary visual cortex (V1). The oscillations emerged in population level responses known as visually evoked potentials (VEPs), as well as single-unit responses, and were not observed before the perceptual experience had occurred. They were also not evoked by novel visual stimuli, suggesting that they represent a new form of visual familiarity in the form of low frequency oscillations. The oscillations also required the muscarinic acetylcholine receptors (mAChRs) for their induction and expression, highlighting the importance of the cholinergic system in this learning and memory-based phenomenon. Ongoing visually evoked oscillations were also shown to increase the VEP amplitude of incoming visual stimuli if the stimuli were presented at the high excitability phase of the oscillations, demonstrating how neural activity with unique temporal dynamics can be used to influence visual processing.</p> <p>Given the necessity of perceptual experience for the strong expression of these oscillations and their dependence on the cholinergic system, it was clear we had discovered a phenomenon grounded in visual learning or memory. To further validate this, we characterized this response in a mouse model of Fragile X syndrome (FX), the most common inherited form of autism and a condition with known visual perceptual learning deficits. Using a multifaceted experimental approach, a number of neurophysiological differences were found in the oscillations displayed in FX mice. Extracellular recordings revealed shorter durations and lower power oscillatory activity in FX mice. Furthermore, we found that the frequency of peak oscillatory activity was significantly decreased in FX mice, demonstrating a unique temporal neural impairment not previously reported in FX. In collaboration with Dr. Christopher J. Quinn at Purdue, we performed functional connectivity analysis on the extracellularly recorded spikes from WT and FX mice. This analysis revealed significant impairments in functional connections from multiple layers in FX mice after the perceptual experience; some of which were validated by another graduate student (Qiuyu Wu) using Channelrhodopsin-2 assisted circuit mapping (CRACM). Together, these results shed new light on how visual stimulus familiarity is differentially encoded in FX via persistent oscillations, and allowed us to identify impairments in cross layer connectivity that may underlie these differences. </p> <p>Finally, we asked whether these oscillations are observable in other brain areas or are intrinsic to V1. Furthermore, we sought to determine if the oscillating unit populations in V1 possess uniform firing dynamics, or contribute differentially to the population level response. By performing paired recordings, we did not find prominent oscillatory activity in two visual thalamic nuclei (dLGN and LP) or a nonvisual area (RSC) connected to V1, suggesting the oscillations may not propagate with similar dynamics via cortico-thalamic connections or retrosplenial connections, <a>but may either be uniquely distributed across the visual hierarchy or predominantly</a> restricted to V1. Using K-means clustering on a large population of oscillating units in V1, we found unique temporal profiles of visually evoked responses, demonstrating distinct contributions of different unit sub-populations to the oscillation response dynamics.</p>

<div>The visual system is responsible for processing visual input, inferring its environmental causes, and assessing its behavioral significance that eventually relates to visual perception and guides animal behavior. There is emerging evidence that visual perception does not simply mirror the outside world but is heavily influenced by contextual information. Specifically, context might refer to the sensory, cognitive, and/or behavioral cues that help to assess the behavioral relevance of image features. One of the most famous examples of such behavior is visual or optical illusions. These illusions contain sensory cues that induce a subjective percept that is not aligned with the physical nature of the stimulation, which, in turn, suggests that a visual system is not a passive filter of the outside world but rather an active inference machine.</div><div>Such robust behavior of the visual system is achieved through intricate neural computations spanning several brain regions that allow dynamic visual processing. Despite the numerous attempts to gain insight into those computations, it has been challenging to decipher the circuit-level implementation of contextual processing due to technological limitations. These questions are of great importance not only for basic research purposes but also for gaining deeper insight into neurodevelopmental disorders that are characterized by altered sensory experiences. Recent advances in genetic engineering and neurotechnology made the mouse an attractive model to study the visual system and enabled other researchers and us to gain unprecedented cellular and circuit-level insights into neural mechanisms underlying contextual processing.</div><div>We first investigated how familiarity modifies the neural representation of stimuli in the mouse primary visual cortex (V1). Using silicon probe recordings and pupillometry, we probed neural activity in naive mice and after animals were exposed to the same stimulus over the course of several days. We have discovered that familiar stimuli evoke low-frequency oscillations in V1. Importantly, those oscillations were specific to the spatial frequency content of the familiar stimulus. To further validate our findings, we investigated how this novel form of visual learning is represented in serotonin-transporter (SERT) deficient mice. These transgenic animals have been previously found to have various neurophysiological alterations. We found that SERT-deficient animals showed longer oscillatory spiking activity and impaired cortical tuning after visual learning. Taken together, we discovered a novel phenomenon of familiarity-evoked oscillations in V1 and utilized it to reveal altered perceptual learning in SERT-deficient mice.</div><div>16</div><div>Next, we investigated how spatial context influences sensory processing. Visual illusions provide a great opportunity to investigate spatial contextual modulation in early visual areas. Leveraging behavioral training, high-density silicon probe recordings, and optogenetics, we provided evidence for an interplay of feedforward and feedback pathways during illusory processing in V1. We first designed an operant behavioral task to investigate illusory perception in mice. Kanizsa illusory contours paradigm was then adapted from primate studies to mouse V1 to elucidate neural correlates of illusory responses in V1. These experiments provided behavioral and neurophysiological evidence for illusory perception in mice. Using optogenetics, we then showed that suppression of the lateromedial area inhibits illusory responses in mouse V1. Taken together, we demonstrated illusory responses in mice and their dependence on the top-down feedback from higher-order visual areas.</div><div>Finally, we investigated how temporal context modulates neural responses by combining silicon probe recordings and a novel visual oddball paradigm that utilizes spatial frequency filtered stimuli. Our work extended prior oddball studies by investigating how adaptation and novelty processing depends on the tuning properties of neurons and their laminar position. Furthermore, given that reduced adaptation and sensory hypersensitivity are one of the hallmarks of altered sensory experiences in autism, we investigated the effects of temporal context on visual processing in V1 of a mouse model of fragile X syndrome (FX), a leading monogenetic cause of autism. We first showed that adaptation was modulated by tuning properties of neurons in both genotypes, however, it was more confined to neurons preferring the adapted feature in FX mice. Oddball responses, on the other hand, were modulated by the laminar position of the neurons in WT with the strongest novelty responses in superficial layers, however, they were uniformly distributed across the cortical column in FX animals. Lastly, we observed differential processing of omission responses in FX vs. WT mice. Overall, our findings suggest that reduced adaptation and increased oddball processing might contribute to altered perceptual experiences in FX and autism.</div>

Wir untersuchen globale dynamische Phänomene, die sich von dem Zusammenspiel zwischen Netzwerktopologie und Dynamik der einzelnen Elementen ergeben. Im ersten Teil untersuchen wir relativ kleine strukturierte Netzwerke mit überschaubarer Komplexität. Als geeigneter theoretischer Rahmen für erregbare Systeme verwenden wir das Kuramoto und Shinomoto Modell der sinusförmig-gekoppelten "aktiven Rotatoren" und studieren das Kollektivverhalten des Systems in Bezug auf Synchronisation. Wir besprechen die Einschränkungen, die durch die Netzwerktopologie auf dem Fluss im Phasenraum des Systems gestellt werden. Insbesondere interessieren wir uns für die Stabilitätseigenschaften von Fluss-invarianten Polydiagonalen und die Entwicklungen von Attraktoren in den Parameterräume solcher Systeme. Wir untersuchen zweidimensionale hexagonale Gitter mit periodischen Randbedingungen. Wir untersuchen allgemeine Bedingungen auf der Adjazenzmatrix von Netzwerken, die die Watanabe-Strogatz Reduktion ermöglichen, und diskutieren verschiedene Beispiele. Schließlich präsentieren wir eine generische Analyse der Bifurkationen, die auf der Untermannigfaltigkeit des Watanabe-Strogatz reduzierten Systems stattfinden. Im zweiten Teil der Arbeit untersuchen wir das globale dynamische Phänomen selbstanhaltender Aktivität (self-sustained activity / SSA) in neuronalen Netzwerken. Wir betrachten Netzwerke mit hierarchischer und modularer Topologie , umfassend Neuronen von verschiedenen kortikalen elektrophysiologischen Zellklassen. Wir zeigen, dass SSA Zustände mit ähnlich zu den experimentell beobachteten Eigenschaften existieren. Durch Analyse der Dynamik einzelner Neuronen sowie des Phasenraums des gesamten Systems erläutern wir die Rolle der Inhibierung. Darüber hinaus zeigen wir, dass beide Netzwerkarchitektur, in Bezug auf Modularität, sowie Mischung aus verschiedenen Neuronen, in Bezug auf die unterschiedlichen Zellklassen, einen Einfluss auf die Lebensdauer der SSA haben. / In this work we study global dynamical phenomena which emerge as a result of the interplay between network topology and single-node dynamics in systems of excitable elements. We first focus on relatively small structured networks with comprehensible complexity in terms of graph-symmetries. We discuss the constraints posed by the network topology on the dynamical flow in the phase space of the system and on the admissible synchronized states. In particular, we are interested in the stability properties of flow invariant polydiagonals and in the evolutions of attractors in the parameter spaces of such systems. As a suitable theoretical framework describing excitable elements we use the Kuramoto and Shinomoto model of sinusoidally coupled “active rotators”. We investigate plane hexagonal lattices of different size with periodic boundary conditions. We study general conditions posed on the adjacency matrix of the networks, enabling the Watanabe-Strogatz reduction, and discuss different examples. Finally, we present a generic analysis of bifurcations taking place on the submanifold associated with the Watanabe-Strogatz reduced system. In the second part of the work we investigate a global dynamical phenomenon in neuronal networks known as self-sustained activity (SSA). We consider networks of hierarchical and modular topology, comprising neurons of different cortical electrophysiological cell classes. In the investigated neural networks we show that SSA states with spiking characteristics, similar to the ones observed experimentally, can exist. By analyzing the dynamics of single neurons, as well as the phase space of the whole system, we explain the importance of inhibition for sustaining the global oscillatory activity of the network. Furthermore, we show that both network architecture, in terms of modularity level, as well as mixture of excitatory-inhibitory neurons, in terms of different cell classes, have influence on the lifetime of SSA.