Investigations of static and dynamic neuromagnetic resting state functional connectivity in healthy subjects and brain disorders

The brain consists of spatially distinct areas, which underlie different aspects of human behavior. Using advanced neuroimaging technology and neurocomputational analysis methods, researchers have been able to uncover the functional roles of many of these areas and how they are interconnected both structurally and functionally to produce actions, sensations and cognitions which allow us to navigate our lives. In more recent years, it has been discovered that these brain networks also underlie the healthy functioning of the brain while it is at rest, i.e. awake but not performing any explicit or goal-directed tasks. Changes in these resting-state networks (RSNs) have been implicated in a number of neurological and psychiatric disorders, indicating that their degradation may play a role in the diverse loss of sensory, motor or cognitive functions associated with these.In this thesis, we introduce some new guidelines for capturing the electrophysiology of RSN structures using magnetoencephalography (MEG), a non-invasive neuroimaging technique which directly measures the magnetic fields associated with the synchronized electrical neural activity underlying these connections. Using MEG, we are able to consider these complex communication structures with great spatial and temporal resolution and probe how they are altered in multiple sclerosis (MS), a disease defined in part by both the degradation of the structures connecting different brain areas and by impairments across a wide spectrum of cognitive functions. However, in order to achieve this, there are methodological and analytical issues that must be dealt with.This thesis is separated into three introductory chapters and three research chapters. The introductory chapters outline the relevant theoretical bases that are not covered in the specific research chapters, while each of the research chapters contain a study undertaken as part of the thesis. Additionally, some research chapters start with an additional introductory prologue which expands on relevant ideas or concepts that are used but not fully explained in the corresponding papers.This thesis contains three empirical studies. In the first, we investigated the differential impact of source reconstruction methods and MEG system type on resting state functional connectivity (rsFC). The results showed that the choice of source reconstruction algorithm has a substantial impact on the uncovered rsFC in the posterior default mode network (DMN). Specifically, this was shown to be due to a suppression of the source activity in this region when using a Beamformer rather than minimum norm estimation (MNE) for source reconstruction. Through exploring this effect this we also made a novel discovery about a linear synchronization structure within the posterior DMN. This also led us to recommend the use of MNE when conducting MEG rsFC studies involving the DMN, representing a novel and important result regarding best practice recommendations for the field as a whole and for the subsequent studies in this thesis.In the second study, we set out to distinguish intrinsic, i.e. task-invariant, and extrinsic, i.e. task-dependent, functional connectivity (FC) using a large data set containing MEG data from more than a hundred participants acquired during several different tasks with multiple task levels, as well as during rest, We were able to demonstrate that the human brain operates using two distinct modes of neuronal integration in parallel, i.e. intrinsic FC in the form of amplitude FC and extrinsic FC in the form of phase FC. These results are important both in that they establish a new conceptual framework for functional integration in the human brain and in that they highlight a potentially fuzzy distinction between resting-state and task-related FC, which can be better approached using this novel intrinsic/extrinsic formulation. Having established the existence of an intrinsic functional integration structure in amplitude FC among brain regions, in the third study we investigated how amplitude rsFC is altered in brain disease, here represented by patients with MS. We showed that patients with MS display specific alterations in amplitude FC, particularly involving the DMN and sensorimotor (SMN) networks, compared to healthy participants. Additionally, we showed that the degree of disease-related physical disability was associated with specific motor-related amplitude rsFC changes, and that variations in cognitive task performance and neuropsychological scores were different between patients and healthy subjects on scores which were significantly different between the groups. These results demonstrate the ability of intrinsic/amplitude FC to characterize functional changes in clinical populations that are associated with specific disability-related and neuropsychological outcomes.Le cerveau se compose de différentes zones fonctionnelles spatialement distinctes, qui sous-tendent différents aspects du comportement humain. En utilisant une technologie avancée de neuroimagerie et des méthodes d'analyse neurocomputationnelle, les neuroscientifiques ont caractérisé les rôles fonctionnels d’un bon nombre de structures cérébrales (i.e. la spécialisation fonctionnelle) et comment elles sont interconnectées à la fois structurellement et fonctionnellement (i.e. l’intégration fonctionnelle) pour produire les actions motrices, les sensations et les fonctions cognitives qui nous permettent de naviguer dans nos vies. Ces dernières années, les techniques de neuroimagerie ont également démontré que ces réseaux cérébraux fonctionnels sous-tendent également le bon fonctionnement du cerveau lorsqu'il est « au repos », c'est-à-dire qu'il n'effectue aucune tâche explicite ou ciblée. Des modifications de ces réseaux « de l’état de repos » (RSN) ont été impliquées dans un certain nombre de pathologies neurologiques ou psychiatriques, indiquant que leur altération peut jouer un rôle dans les déficits de fonctions sensorielles, motrices ou cognitives présentées par les patients.Dans cette thèse, nous introduisons de nouvelles lignes directrices pour investiguer l'électrophysiologie des RSN à l'aide de la magnétoencéphalographie (MEG), une technique de neuroimagerie non invasive qui mesure directement les champs magnétiques associés à l'activité neuronale électrique. Nous avons premièrement déterminé comment les choix méthodologiques au niveau de la reconstruction de sources en MEG influence les résultats de l’estimation de l’intégration fonctionnelle cérébrale. Ensuite, nous avons été en mesure d’étudier l’intégration fonctionnelle au sein des RSNs avec une grande résolution spatiale et temporelle, et ainsi, de déterminer les processus neurophysiologiques à l’origine de l’intégration fonctionnelle « intrinsèque » (i.e. indépendante d’une tâche ou de ce que le sujet fait) et « extrinsèque » (i.e. influencée ou modulée par une tâche). Nous avons démontré que l’intégration fonctionnelle intrinsèque repose sur le couplage de l’enveloppe (ou amplitude) de l’activité rythmique cérébrale alors que l’extrinsèque repose sur le couplage de phase de cette activité. Enfin, nous avons déterminé comment l’intégration fonctionnelle intrinsèque est altérée dans la sclérose en plaques (SEP), une maladie caractérisée en partie par la dégradation des connexions reliant différentes zones cérébrales et par des altérations variables des fonctions cognitive. Nous avons pu démontrer que le handicap moteur et certains troubles cognitifs (fatigue, cognitiven fluence verbale) sont associés à des altérations de l’intégration fonctionnelle intrinsèque de RSNs spécifiques.Doctorat en Sciences biomédicales et pharmaceutiques (Médecine)info:eu-repo/semantics/nonPublishe

Cerebellar cognitive disorder parallels cerebellar motor symptoms in Friedreich ataxia.

Dentate nuclei (DN) are involved in cerebellar modulation of motor and cognitive functions, whose impairment causes ataxia and cerebellar cognitive affective syndrome (CCAS). Friedreich ataxia (FRDA) disease progression relates to degeneration of the dentate nucleus and dentato-thalamic pathways, causing cerebellar ataxia. Volumetric MRI also shows mild loss in the cerebellar cortex, brainstem, and motor cortex. Cognitive deficits occur in FRDA, but their relationship with ataxia progression is not fully characterized. We found a significant positive correlation between severity of patients' ataxia and more marked CCAS as assessed with the CCAS-Scale. This relation could be related to progressive DN impairment.info:eu-repo/semantics/publishe

Age of onset determines intrinsic functional brain architecture in Friedreich ataxia.

Friedreich ataxia (FRDA) is the commonest hereditary ataxia in Caucasians. Most patients are homozygous for expanded GAA triplet repeats in the first intron of the frataxin (FXN) gene, involved in mitochondrial iron metabolism. Here, we used magnetoencephalography (MEG) to characterize the main determinants of FRDA-related changes in intrinsic functional brain architecture.info:eu-repo/semantics/publishe

Early Venous Filling Following Thrombectomy: Association With Hemorrhagic Transformation and Functional Outcome.

Background and Purpose: Previous studies have noted the angiographic appearance of early venous filling (EVF) following recanalisation in acute ischemic stroke. However, the prognostic implications of EVF as a novel imaging biomarker remain unclear. We aimed to evaluate the correlation between EVF with (i) the risk of subsequent reperfusion hemorrhage (RPH) and (ii) the association of EVF on both the NIHSS score at 24 h and functional outcome as assessed with the Modified Rankin Scale (mRS) score at 90 days. Methods: We conducted a retrospective cohort study of patients presenting with an acute ischemic stroke due to a proximal large-vessel occlusion of the anterior circulation treated by thrombectomy. Post-reperfusion digital subtraction angiography was reviewed to look for EVF as evidenced by the contrast opacification of any cerebral vein before the late arterial phase. Results: EVF occurred in 22.4% of the 147 cases included. The presence of EVF significantly increased the risk of RPH (p = 0.0048), including the risk of symptomatic hemorrhage (p = 0.0052). The presence of EVF (p = 0.0016) and the absence of RPH (p = 0.0021) were independently associated with a better outcome as defined by the NIHSS difference at 24 h, most significantly in the EVF+RPH- group. No significant relationship was however found between either EVF or RPH and a mRS score ≤ 2 at 90 days. Conclusion: Early venous filling on angiographic imaging is a potential predictor of reperfusion hemorrhage. The absence of subsequent RPH in this sub-group is associated with better outcomes at 24 h post-thrombectomy than in those with RPH.info:eu-repo/semantics/publishe

Electrophysiological evidence of spino-cortical proprioceptive tracts dysfunction in hereditary spastic paraplegia with thin corpus callosum

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Do the posterior midline cortices belong to the electrophysiological default-mode network?

The default-mode network (DMN) and its principal core hubs in the posterior midline cortices (PMC), i.e. the precuneus and the posterior cingulate cortex, play a critical role in the human brain structural and functional architecture. Because of their centrality, they are affected by a wide spectrum of brain disorders, e.g. Alzheimer's disease. Non-invasive electrophysiological techniques such as magnetoencephalography (MEG) are crucial to the investigation of the neurophysiology of the DMN and its alteration by brain disorders. However, MEG studies relying on band-limited power envelope correlation diverge in their ability to identify the PMC as a part of the DMN in healthy subjects at rest. Since these works were based on different MEG recording systems and different source reconstruction pipelines, we compared DMN functional connectivity estimated with two distinct MEG systems (Elekta, now MEGIN, and CTF) and two widely used reconstruction algorithms (Minimum Norm Estimation and linearly constrained minimum variance Beamformer). Our results identified the reconstruction method as the critical factor influencing PMC functional connectivity, which was significantly dampened by the Beamformer. On this basis, we recommend that future electrophysiological studies on the DMN should rely on Minimum Norm Estimation (or close variants) rather than on the classical Beamformer. Crucially, based on analytic knowledge about these two reconstruction algorithms, we demonstrated with simulations that this empirical observation could be explained by the existence of a spontaneous linear, approximately zero-lag synchronization structure between areas of the DMN or among multiple sources within the PMC. This finding highlights a novel property of the neural dynamics and functional architecture of a core human brain network at rest.info:eu-repo/semantics/publishe

Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis

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Spatiotemporal and spectral dynamics of multi-item working memory as revealed by the n-back task using MEG.

Multi-item working memory (WM) is a complex cognitive function thought to arise from specific frequency band oscillations and their interactions. While some theories and consistent findings have been established, there is still a lot of unclarity about the sources, temporal dynamics, and roles of event-related fields (ERFs) and theta, alpha, and beta oscillations during WM activity. In this study, we performed an extensive whole-brain ERF and time-frequency analysis on n-back magnetoencephalography data from 38 healthy controls. We identified the previously unknown sources of the n-back M300, the right inferior temporal and parahippocampal gyrus and left inferior temporal gyrus, and frontal theta power increase, the orbitofrontal cortex. We shed new light on the role of the precuneus during n-back activity, based on an early ERF and theta power increase, and suggest it to be a crucial link between lower-level and higher-level information processing. In addition, we provide strong evidence for the central role of the hippocampus in multi-item WM behavior through the dynamics of theta and alpha oscillatory changes. Almost simultaneous alpha power decreases observed in the hippocampus and occipital fusiform gyri, regions known to be involved in letter processing, suggest that these regions together enable letter recognition, encoding and storage in WM. In summary, this study offers an extensive investigation into the spatial, temporal, and spectral characteristics of n-back multi-item WM activity.info:eu-repo/semantics/publishe