Indiana University-Purdue University Indianapolis (IUPUI) / Brain imaging genetics is an emerging research field aimed at studying the underlying genetic architecture of brain structure and function by utilizing different imaging modalities. However, not all the changes in the brain are a direct result of the genetic effect. Furthermore, the imaging phenotypes are promising for genetic analyses are usually unknown. In this thesis, we focus on identifying highly heritable measures of structural brain networks derived from Diffusion Weighted Magnetic Resonance imaging data. Using data for twins that is made available by the Human Connectome Project (HCP), the reliability of edge-level measures, namely fractional anisotropy, fiber length, and fiber number in the structural connectome, as well as seven network-level measures, specifically assortativity coefficient, local efficiency, modularity, transitivity, cluster coefficient, global efficiency, and characteristic path length, were evaluated using intraclass correlation coefficients. In addition, estimates of the heritability of the reliable measures were also obtained. It was observed that across all 64,620 network edges between 360 brain regions in the Glasser parcellation, approximately 5% were significantly high heritability based on fractional anisotropy, fiber length, or fiber number. Moreover, all tested network level measures, that capture network integrity, segregation, or resilience, were found to be highly heritable, having a variance ranging from 59% to 77% that is attributable to an additive genetic effect.

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The human brain changes in a complex and heterogeneous way throughout life, the normal aging process is associated to significant alterations in the axonal connections. In this study, we evaluated the age-related changes in physical parameters associated with the brain white and gray matter integrity in healthy subjects, as well as the possible correlation between them in specific tracts. Structural images (1 mm isotropic) and diffusion weighted images (2 mm isotropic, b = 1000 s /mm2) of 158 healthy individuals aged between 18 and 83 years were retrospectively collected at the Clinics Hospital of Ribeirao Preto, after their acquisition in a 3T MR scanner. From the structural images, the cortical thickness was estimated and the age effect was evaluated in several regions based on the Atlas of Destrieux. The diffusion-weighted images were processed to characterize the intravoxel diffusion using two models: diffusion tensor (DT) and constrained spherical deconvolution (CSD). Fractional anisotropy (FA) and apparent density of fiber (AFD) maps were estimated and used in statistical group analysis between the three groups separated by age. The most relevant brain tracts were segmented by three procedures: manually, automatically with a specific tool and based on automatic segmented cortical regions. Physical parameters of diffusion (anisotropy and diffusivities) were evaluated in the segmented tracts to determine the age-related changes. The connectome analysis based on two cortical parcellations was performed to evaluate the age effect on characteristic structural brain network parameters. The tract-cortical relationship was evaluated considering the anisotropy of each tract and the thickness of the cortical areas at the end of the corresponding tract. Further analysis was performed to evaluate a possible association of structural and functional connectivity in the corpus callosum (CC). There was significant cortical thinning in 88.5% of the regions during life (p <0.05, corrected for multiple comparisons); the frontal region was the most affected in the initial aging (after 40 years), and the occipital and temporal regions in the elderly (after 60 years). Similarly, the group analysis demonstrated a global pattern of reduction of FA and AFD in the white matter, with a higher rate of degradation of integrity from the sixth decade of life. The manual selection of tracts from the DT model proved to be the most reliable methodology in the precise definition of the tracts for our data. Following this methodology, analysis of anisotropy and diffusion parameters also indicated degeneration of white matter in normal aging in all studied brain tracts and corroborated to the antero-posterior gradient of degeneration in the CC. Fornix was the most affected tract bilaterally, with a 3.5% reduction and an increase of 4% per decade in these parameters, respectively; followed by CC. In the evaluation of the age effect on the connectome estimates, regardless of diffusion model and cortical atlas, there was a decrease in global efficiency, number of connections and local efficiency with aging, mainly in the prefrontal, temporal and parietal and its connections. In the tract-cortical analysis, cortical regions connected by tracts demonstrated similar thinning patterns for the majority of tracts, and a significant relation between mean cortical thinning rate and FA/MD alteration rates were found. In all evaluated tracts, age was the main effect controlling diffusion parameters alterations; there were no direct correlations with cortical thickness for the majority of tracts. Only for the fornix, the values of FA and MD showed significant correlation with the cortical thickness of the subcallosal gyrus in both hemispheres during aging (p <0.05 corrected). For the other tracts, CC, Inferior Longitudinal Fasciculus, Uncinated Fasciculus, Inferior Fronto-occipital Fasciculus, Corticospinal Tract, Cingulum and Arcuate Fasciculus, age was the main effect controlling alterations in the parameters, but there were no direct correlations between FA and MD and cortical thickness during the aging process. / O cérebro humano muda de forma complexa e heterogênea ao longo da vida, o processo de envelhecimento normal tem associado significativas alterações nas conexões axonais. Neste estudo, avaliamos as mudanças relacionadas à idade em parâmetros físicos associados à integridade das substâncias branca e cinzenta cerebral em sujeitos saudáveis, assim como a possivel correlação entre eles em tratos específicos. Imagens estruturais (1 mm isotrópica) e imagens ponderadas em difusão (2 mm isotrópica e b=1000 s/mm2) de 158 indivíduos saudáveis entre 18 a 83 anos foram coletadas retrospectivamente no Hospital das Clinícas de Ribeirão Preto, após sua aquisição em aparelho de ressonância magnética de 3 Teslas. A partir das imagens estruturais, a espessura cortical foi estimada e o efeito de idade nela foi avaliado em diversas regiões tomando com base o atlas de Destrieux. As imagens ponderadas em difusão foram processadas para caracterizar a difusão intravoxel utilizando dois modelos: tensor de difusão (DT) e deconvolução esférica restrita (CSD). Mapas de anisotropia fracionada (FA) e densidade aparente da fibra (AFD) foram estimados e usados em analise estatistica de três grupos separados por faixa etária. Os tratos cerebrais mais relevantes foram segmentados por tres procedimentos: manualmente, automaticamente com uma ferramenta especifica e com base em regiões corticais automaticante segmentadas. Parâmetros físicos de difusão (anisotropia e difusibilide) foram avaliados nos tratos segmentados para determinar as alterações relacionadas à idade. A análise de conectoma baseada em dois parcelamentos corticais foi realizada para avaliar também o efeito da idade em parâmetros caracteristicos da rede estrutural cerebral. A relação trato-cortical foi avaliada considerando a anisotropia de cada trato e as espessuras das áreas corticais nas extremidades do trato correspondente. Uma análise adicional foi realizada para avaliar uma possivel associação de onetividades estrutural e funcional no corpo caloso (CC). Houve afinamento cortical significativo em 88,5% das regiões durante a vida (p <0,05, corrigido); a região frontal foi a mais afetada no envelhecimento inicial (após 40 anos), e as regiões occipital e temporal nos idosos (após 60 anos). Similarmente, a análise de grupo demonstrou um padrão global de redução de FA e AFD na substância branca, com uma maior taxa de degradação de integridade a partir da sexta década de vida. A seleção manual de tratos baseada no modelo de DT mostrou-se a metodologia mais confiavél na precisa definição dos tratos nos nossos dados. Seguindo essa metodologia, a análise dos parâmetros de anistropia e difusão também indicou degeneração de substância branca no envelhecimento normal em todos os tratos cerebrais estudados e corroborou o gradiente ântero-posterior de degeneração no CC. O fornix foi o trato mais afetado bilatreamente com redução de 3.5% e aumento de 4% por década nesses parâmetros, respectivamente; seguido do CC. Na avaliação do efeito da idade nas estimativas do conectoma, independentemente do modelo de difusão e do atlas cortical usado, houve uma diminuição da eficiência global com o envelhececimento, do número de conexões e da eficiência local, principalmente nas regiões pré-frontal, temporal e parietal e suas conexões. Nas análises trato-corticais, as regiões corticais conectadas por tratos mostraram padrões de afinamento similares para a maioria dos tratos, e uma correlação significativa entre a taxa média de afinamento cortical e as taxas de alteração de FA e difusibilidade média (MD) foram encontradas. Em todos os tratos avaliados, a idade foi o principal efeito controlando das alterações dos parâmetros de difusão; não houve correlações diretas com espessura cortical para a maioria dos tratos. Somente para o fornix, os valores de FA e MD mostraram correlação com a espessura cortical do giro subcalosal (parcelamento de Destrieux) em ambos os hemisférios durante o envelhecimento (p <0,05 corrigido). Para os outros tratos, CC, fascículo longitudinal inferior, fascículo uncinado, fascículo occipitofrontal inferior, trato cortico-espinal, parte cingulada do cíngulo e fascículo arqueado, a idade foi o principal efeito no controle das alterações dos parâmetros, mas não houve correlações diretas entre FA e MD e espessura cortical durante o processo de envelhecimento

L’IRM de diffusion est une modalité d’imagerie médicale qui suscite un intérêt croissant dans larecherche en neuro-imagerie. Elle permet de caractériser in vivo l’organisation neuronale et apportepar conséquent de nouvelles informations sur les fibres de la matière blanche. En outre, il a étémontré que chaque région corticale a une signature spécifique pouvant être décrite par des mesuresde connectivité. Notre travail de recherche a ainsi porté sur la conception d’une méthode deparcellisation du cortex entier à partir de ces métriques. En se basant sur de précédents travaux dudomaine (thèse de P. Roca 2011), ce travail propose une nouvelle analyse de groupe permettantl’obtention d’une segmentation individuelle ou moyennée sur la population d'étude. Il s’agit d’unproblème difficile en raison de la variabilité interindividuelle présente dans les données. Laméthode a été testée et évaluée sur les 80 sujets de la base ARCHI. Des aspects multimodaux ontété abordés pour comparer nos parcellisations structurelles avec d’autres parcellisations ou descaractéristiques morphologiques calculées à partir des modalités présentes dans la base de données.Une correspondance avec la variabilité de l’anatomie corticale, ainsi qu’avec des parcellisations dedonnées d’IRM fonctionnelle, a pu être montrée, apportant une première validationneuroscientifique. / Résumé anglais :Diffusion MRI is a medical imaging modality of great interest in neuroimaging research. Thismodality enables the characterization in vivo of neuronal organization and thus providinginformation on the white matter fibers. In addition, each cortical region has been shown to have aspecific signature, which can be described by connectivity measures. Our research has focused onthe design of a whole cortex parcellation method driven by these metrics. Based on the previouswork of P. Roca 2011, a new group analysis is proposed to achieve an individual or populationaveraged segmentation. This is a difficult problem due to the interindividual variability present inthe data. The method was tested and evaluated on the 80 subjects of the ARCHI database.Multimodal aspects were investigated to compare the proposed structural parcelliations with otherparcellations or morphological characteristics derived from the modalities present in the database. Aconnection between the variability of cortical anatomy and parcellations of the functional MRI datawas demonstrated, providing a first neuroscientist validation.

In this study, an improved bit-array representation method for structural topology optimization using the Genetic Algorithm (GA) is proposed. The issue of representation degeneracy is fully addressed and the importance of structural connectivity in a design is further emphasized. To evaluate the constrained objective function, Deb's constraint handling approach is further developed to ensure that feasible individuals are always better than infeasible ones in the population to improve the efficiency of the GA. A hierarchical violation penalty method is proposed to drive the GA search towards the topologies with higher structural performance, less unusable material and fewer separate objects in the design domain in a hierarchical manner. Numerical results of structural topology optimization problems of minimum weight and minimum compliance designs show the success of this novel bit-array representation method and suggest that the GA performance can be significantly improved by handling the design connectivity properly. / Singapore-MIT Alliance (SMA)

The human brain changes in a complex and heterogeneous way throughout life, the normal aging process is associated to significant alterations in the axonal connections. In this study, we evaluated the age-related changes in physical parameters associated with the brain white and gray matter integrity in healthy subjects, as well as the possible correlation between them in specific tracts. Structural images (1 mm isotropic) and diffusion weighted images (2 mm isotropic, b = 1000 s /mm2) of 158 healthy individuals aged between 18 and 83 years were retrospectively collected at the Clinics Hospital of Ribeirao Preto, after their acquisition in a 3T MR scanner. From the structural images, the cortical thickness was estimated and the age effect was evaluated in several regions based on the Atlas of Destrieux. The diffusion-weighted images were processed to characterize the intravoxel diffusion using two models: diffusion tensor (DT) and constrained spherical deconvolution (CSD). Fractional anisotropy (FA) and apparent density of fiber (AFD) maps were estimated and used in statistical group analysis between the three groups separated by age. The most relevant brain tracts were segmented by three procedures: manually, automatically with a specific tool and based on automatic segmented cortical regions. Physical parameters of diffusion (anisotropy and diffusivities) were evaluated in the segmented tracts to determine the age-related changes. The connectome analysis based on two cortical parcellations was performed to evaluate the age effect on characteristic structural brain network parameters. The tract-cortical relationship was evaluated considering the anisotropy of each tract and the thickness of the cortical areas at the end of the corresponding tract. Further analysis was performed to evaluate a possible association of structural and functional connectivity in the corpus callosum (CC). There was significant cortical thinning in 88.5% of the regions during life (p <0.05, corrected for multiple comparisons); the frontal region was the most affected in the initial aging (after 40 years), and the occipital and temporal regions in the elderly (after 60 years). Similarly, the group analysis demonstrated a global pattern of reduction of FA and AFD in the white matter, with a higher rate of degradation of integrity from the sixth decade of life. The manual selection of tracts from the DT model proved to be the most reliable methodology in the precise definition of the tracts for our data. Following this methodology, analysis of anisotropy and diffusion parameters also indicated degeneration of white matter in normal aging in all studied brain tracts and corroborated to the antero-posterior gradient of degeneration in the CC. Fornix was the most affected tract bilaterally, with a 3.5% reduction and an increase of 4% per decade in these parameters, respectively; followed by CC. In the evaluation of the age effect on the connectome estimates, regardless of diffusion model and cortical atlas, there was a decrease in global efficiency, number of connections and local efficiency with aging, mainly in the prefrontal, temporal and parietal and its connections. In the tract-cortical analysis, cortical regions connected by tracts demonstrated similar thinning patterns for the majority of tracts, and a significant relation between mean cortical thinning rate and FA/MD alteration rates were found. In all evaluated tracts, age was the main effect controlling diffusion parameters alterations; there were no direct correlations with cortical thickness for the majority of tracts. Only for the fornix, the values of FA and MD showed significant correlation with the cortical thickness of the subcallosal gyrus in both hemispheres during aging (p <0.05 corrected). For the other tracts, CC, Inferior Longitudinal Fasciculus, Uncinated Fasciculus, Inferior Fronto-occipital Fasciculus, Corticospinal Tract, Cingulum and Arcuate Fasciculus, age was the main effect controlling alterations in the parameters, but there were no direct correlations between FA and MD and cortical thickness during the aging process. / O cérebro humano muda de forma complexa e heterogênea ao longo da vida, o processo de envelhecimento normal tem associado significativas alterações nas conexões axonais. Neste estudo, avaliamos as mudanças relacionadas à idade em parâmetros físicos associados à integridade das substâncias branca e cinzenta cerebral em sujeitos saudáveis, assim como a possivel correlação entre eles em tratos específicos. Imagens estruturais (1 mm isotrópica) e imagens ponderadas em difusão (2 mm isotrópica e b=1000 s/mm2) de 158 indivíduos saudáveis entre 18 a 83 anos foram coletadas retrospectivamente no Hospital das Clinícas de Ribeirão Preto, após sua aquisição em aparelho de ressonância magnética de 3 Teslas. A partir das imagens estruturais, a espessura cortical foi estimada e o efeito de idade nela foi avaliado em diversas regiões tomando com base o atlas de Destrieux. As imagens ponderadas em difusão foram processadas para caracterizar a difusão intravoxel utilizando dois modelos: tensor de difusão (DT) e deconvolução esférica restrita (CSD). Mapas de anisotropia fracionada (FA) e densidade aparente da fibra (AFD) foram estimados e usados em analise estatistica de três grupos separados por faixa etária. Os tratos cerebrais mais relevantes foram segmentados por tres procedimentos: manualmente, automaticamente com uma ferramenta especifica e com base em regiões corticais automaticante segmentadas. Parâmetros físicos de difusão (anisotropia e difusibilide) foram avaliados nos tratos segmentados para determinar as alterações relacionadas à idade. A análise de conectoma baseada em dois parcelamentos corticais foi realizada para avaliar também o efeito da idade em parâmetros caracteristicos da rede estrutural cerebral. A relação trato-cortical foi avaliada considerando a anisotropia de cada trato e as espessuras das áreas corticais nas extremidades do trato correspondente. Uma análise adicional foi realizada para avaliar uma possivel associação de onetividades estrutural e funcional no corpo caloso (CC). Houve afinamento cortical significativo em 88,5% das regiões durante a vida (p <0,05, corrigido); a região frontal foi a mais afetada no envelhecimento inicial (após 40 anos), e as regiões occipital e temporal nos idosos (após 60 anos). Similarmente, a análise de grupo demonstrou um padrão global de redução de FA e AFD na substância branca, com uma maior taxa de degradação de integridade a partir da sexta década de vida. A seleção manual de tratos baseada no modelo de DT mostrou-se a metodologia mais confiavél na precisa definição dos tratos nos nossos dados. Seguindo essa metodologia, a análise dos parâmetros de anistropia e difusão também indicou degeneração de substância branca no envelhecimento normal em todos os tratos cerebrais estudados e corroborou o gradiente ântero-posterior de degeneração no CC. O fornix foi o trato mais afetado bilatreamente com redução de 3.5% e aumento de 4% por década nesses parâmetros, respectivamente; seguido do CC. Na avaliação do efeito da idade nas estimativas do conectoma, independentemente do modelo de difusão e do atlas cortical usado, houve uma diminuição da eficiência global com o envelhececimento, do número de conexões e da eficiência local, principalmente nas regiões pré-frontal, temporal e parietal e suas conexões. Nas análises trato-corticais, as regiões corticais conectadas por tratos mostraram padrões de afinamento similares para a maioria dos tratos, e uma correlação significativa entre a taxa média de afinamento cortical e as taxas de alteração de FA e difusibilidade média (MD) foram encontradas. Em todos os tratos avaliados, a idade foi o principal efeito controlando das alterações dos parâmetros de difusão; não houve correlações diretas com espessura cortical para a maioria dos tratos. Somente para o fornix, os valores de FA e MD mostraram correlação com a espessura cortical do giro subcalosal (parcelamento de Destrieux) em ambos os hemisférios durante o envelhecimento (p <0,05 corrigido). Para os outros tratos, CC, fascículo longitudinal inferior, fascículo uncinado, fascículo occipitofrontal inferior, trato cortico-espinal, parte cingulada do cíngulo e fascículo arqueado, a idade foi o principal efeito no controle das alterações dos parâmetros, mas não houve correlações diretas entre FA e MD e espessura cortical durante o processo de envelhecimento

The changes that Swedish agriculture has undergone during the 20th century has resulted in strongly increased productivity, but at the cost of more intensive environmental impacts. One of these is loss of biodiversity, which is driven by, e.g., usage of pesticides and loss and fragmentation of habitats. A vital process for resilient ecosystems is the possibility for species to move between habitats, known as connectivity. One approach to increase connectivity is through strategic perennialization in the agricultural landscape. The aim of this thesis is to map structural connectivity in agricultural landscapes in two major agricultural regions in Sweden and explore options for enhancing connectivity by strategic perennialization. Objectives include the development of a model to map structural connectivity in the Swedish agricultural landscape, identify landscapes where conditions for biodiversity can be improved by strengthening the structural connectivity, and investigate the potential to improve the conditions for biodiversity by introducing perennial crops in the agricultural landscape. The resulting model is based on circuit theory using the software Circuitscape, in which land cover is treated as electric circuits, which are assigned resistance based on the permeability of different types of land cover. The resistance in the developed model is based partly on human impact and partly on structural differences from areas of high biological values, or value cores, between which connectivity is modelled, in terms of object height- and cover. Two agricultural production areas were investigated, Skåne plains and Västra Götaland plains, as well as a testing area in Skåne county. Connectivity maps were created and analysed, and potential areas for strategic perennialization were identified. A strategic perennialization scenario was also modelled in the testing area. Since the application of the model is structural connectivity, uncertainties regarding how well it relates to functional connectivity varies between species. Structural connectivity has nonetheless been shown to facilitate functional connectivity in several aspects. No significant difference in connectivity could be found in the trial area following the introduction of strategic perennialization, but this is most likely due to assumptions behind area selection. Therefore, other approaches for identifying promising locations for strategic perennialization, based on connectivity maps, need to be explored. / <p>2020-06-13</p>

Nous proposons un cadre statistique pour analyser les anomalies morphologiques et organisationnelles altérant l'anatomie des circuits neuronaux chez les patients atteints du syndrome de Gilles de la Tourette. Les composants de chaque circuit (matière grise et blanche) sont représentés comme des maillages 3D et intégrés dans un seul complexe. Cela permet d'étudier leur organisation et surtout la connectivité structurelle. La méthode proposée est basée sur une approche statistique appelée construction d'atlas qui résulte en un template, capturant les invariants de la population, et en déformations template-vers-sujets, décrivant la variabilité morphologique. Premièrement, nous intégrons la construction d'atlas dans un cadre bayésien qui permet d'estimer automatiquement des paramètres autrement fixés. Deuxièmement, nous réduisons les ressources de calcul nécessaires au traitement de faisceaux de fibres en définissant un schéma d'approximation basée sur un nouveau modèle appelé courants pondérés. Troisièmement, nous décrivons un nouveau modèle de déformation pour la construction d'atlas qui permet de capturer les variations morphologiques et organisationnelles. On montre l'efficacité de la méthode par comparaison de deux groupes de 44 patients et 22 témoins. Les résultats soulignent des anomalies sur la forme des structures de la matière grise et sur la connectivité structurelle. / We propose a statistical framework to analyse morphological and organisational anomalies altering the anatomy of neural circuits in patients with Gilles de la Tourette syndrome. The components of each circuit, from both white and grey matter, are represented as 3D meshes and integrated in a single shape complex. This allows to study their organisation and in particular the structural connectivity. The proposed methodology is based on a statistical approach called atlas construction which results in a template complex, capturing the invariants of the population and in template-to-subject deformations, describing the morphological variability. First, we embed the atlas construction in a Bayesian framework which allows to automatically estimate important parameters otherwise fixed by the user. Second, we reduce the important computational resources required to process fiber bundles by defining an approximation scheme based on a new computational model called weighted currents. Third, we describe a new deformation scheme for the atlas construction which permits to model variations in structural connectivity and at the same time to capture global anatomical changes. We show the effectiveness of the proposed method by comparing two groups of 44 patients and 22 controls respectively. Results highlight anomalies about both the shape of grey matter structures and structural connectivity.

This thesis provides a novel dynamic large-scale network perspective on brain activity of human sleep based on the analysis of unique human neuroimaging data. Specifically, I provide new information based on integrating spatial and temporal aspects of brain activity both in the transitions between and during wakefulness and various stages of non-rapid-eye movement (NREM) sleep. This is achieved through investigations of inter-regional interactions, functional connectivity (FC), between activity timecourses throughout the brain. Overall, the presented findings provide new important whole-brain insights for our current understanding of sleep, and potentially also of sleep disorders and consciousness in general. In Chapter 2 I present a robust global increase in similarity between the structural connectivity (SC) and the FC in slow-wave sleep (SWS) in almost all of the participants of two independent fMRI datasets. This could point to a decreased state repertoire and more rigid brain dynamics during SWS. Chapter 2 further identifies the changes in FC strengths between wakefulness and individual stages of NREM sleep across the whole-brain fMRI network. I report connectivity in posterior parts of the brain as particularly strong during wakefulness, while connections between temporal and frontal cortices are increased in strength during N1 and N2 sleep. SWS is characterised by a global drop in FC. In Chapter 3 I take advantage of rare MEG recordings of NREM sleep to show, for the first time, the feasibility of constructing source-space FC networks of sleep using power envelope correlations. The increased temporal information of MEG signals allows me to identify the specific frequencies underlying the FC differences identified in Chapter 2 with fMRI. The beta band (16 – 30 Hz) thus stands out as important for the strong posterior connectivity of wakefulness, while a range of frequency bands from delta (0.25 – 4 Hz) to sigma (13 – 16 Hz) all appear to contribute to N2-specific FC increases. Consistent with the fMRI results, slow-wave sleep shows the lowest level of FC. Interestingly, however, the MEG signals suggest a fronto-temporal network of high connectivity in the alpha band, possibly reflecting memory processes. In Chapter 4 I expand the within-frequency FC analysis of Chapter 3 to explore potential cross-frequency interactions in the MEG FC networks. It is shown that N2 sleep involves an abundance of frequency cross-talk, while SWS includes very little. A multi-layer network approach shows that the gamma band (30 – 48 Hz) is particularly integrated in wakefulness. Chapter 5 addresses the identified MEG FC findings from the perspective of traditional spectral sleep staging. By correlating temporal changes in spectral power at the sensor level to fluctuations in average FC, a specific type of transient events is found to underlie the strong N2-specific coupling in static FC values. Lastly, in Chapter 6 I make the leap out of the constraints of traditional low-resolution sleep staging, and extract dynamic states of FC from fMRI timecourses in a completely unsupervised fashion. This provides a novel representation of whole-brain states of sleep and the dynamics governing them. I argue that data-driven approaches like this are necessary to fully characterise the spatiotemporal principles underlying wakefulness and sleep in the human brain.

Les mutations génétiques et les conditions pathologiques affectent la connectivité functionnelle du cerveau. Nous avons combiné la mutagénèse chez la souris et l’analyse de connectivité fonctionnelle (CF) par imagerie en Resonance Magnétique Nucléaire (IRM) pour déterminer l’impact de la délétion du gène codant pour le récepteur orphelin GPR88 sur la CF du cerveau entier. En utilisant une approche non biaisée, nous avons découvert que la délétion génétique chez la souris altère fortement le Default Mode Network, une caractéristique de nombreuses maladies psychiatriques. Nous avons aussi observé des modifications importantes de la connectivité des cortex moteurs et somatosensoriels,et du striatum en accord avec le pattern d’expression du récepteur. Enfin, une analyse par régions d’intérêt montre une perturbation importante du réseau mesocorticolimbic, qui pourrait expliquer la tendance de ces animaux à consommer de fortes quantités d’alcool. La concordance entre les altérations de CF et celles du comportement des animaux GPR88 knockout positionnent ce récepteur comme une cible prometteuse pour le traitement de maladies psychiatriques. / Pathological agitations of the brain and the expression or mutation of single gene affect overall brain connectivity. Here we combined mouse mutagenesis with functional and structural MRI and explored mouse whole brain connectivity maps non-invasively in response to the inactivation of Gpr88 gene. We perceived robust modifications in the default mode network which is considered a hallmark of many psychiatric conditions, followed by sensori-motor network allied to sensorimotor gating deficiency underlying hyperactivity phenotype in Gpr88-/- mice. In addition, hippocampal and dorsal striatum functional connectivity perturbations might underlie learning deficiency and weakened amygdala connectivity with cortex and striatum might suggest triggering of risk-taking behavior previously observed in these animals. Moreover, Gpr88 deletion strongly modifies the reward network leading Gpr88-/- mice vulnerable to alcohol intake. This is the first evidence of Gpr88 involvement in reshaping the mouse brain connectome. The concordance between connectivity alterations and behavior deficits posits Gpr88 as a potential target for psychiatric disorders.