Architecture has the unique ability to use its surroundings in a way that can create a profound impact; it has the power to generate emotion. To connect with the character of a place, we need to observe it, converse with it, and learn from it. No matter what the place, understanding its spirit is essential to design for it, because every addition to the place adds to its soul, its spiritual and emotional identity. It is important to note the first users of each site are what already exists, they define the spirit of the site and these users are not limited to just people, but rather they include the landscape as well. The trees that are growing and flourishing within the site are an important part of it. Architecture should look at the existing site and not take away from it but rather add to it. This thesis explores Daingerfield Island; Located along the existing Mt Vernon bicycle trail and the Potomac River, Daingerfield Island is an ideal location for a Bicycle and Water Taxi rest stop. It is a site that is mostly forested development, however, it is in a state of disrepair. It has great potential to become a wonderful pause space in the urban environment. The project explores emotions associated with resting and waiting, in hopes to prove that architecture has the ability to repair a damaged site. / Master of Architecture / Architecture not only affects those that inhabit it, but also its surroundings. Whenever we design a building, we need to understand that it is an addition to an already existing site; this addition should make the location better. Analyzing the site is essential in order to create an appropriate design for it. The thesis project is a Bicycle and Water Taxi rest stop located on Daingerfield Island, which is located along the existing Mt Vernon bicycle trail and the Potomac River. The design began with the sole intent of understanding the site; what its history is, what its present is, what its shortcomings are, what its strengths are, and what it needs. Only then did the architectural design begin.

INTRODUÇÃO: Transtornos psiquiátricos com sintomas psicóticos trazem prejuízos ocupacionais e sociais significativos aos seus portadores, com aumento da mortalidade e morbidade. Estes transtornos têm sido estudados como alterações do padrão de conectividade funcional nas redes cerebrais do estado de repouso. Entretanto, tais relatos são mais frequentes em pacientes crônicos, com literatura escassa sobre pacientes em primeiro episódio psicótico, principalmente não realizando comparações entre as redes. OBJETIVO: Este foi um estudo exploratório com objetivo de caracterizar a conectividade funcional cerebral das redes do estado de repouso em pacientes de primeiro episódio psicótico através da ressonância nuclear magnética funcional comparando-os a irmãos e a controles de base populacional. MÉTODOS: A amostra foi composta por por 38 pacientes em primeiro episódio psicótico, 13 irmãos e 41 controles de base populacional. Foram coletadas imagens por ressonância magnética funcional e a conectividade funcional foi obtida através do coeficiente de correlação de Pearson da série temporal do sinal BOLD de 264 regiões de interesse. A comparação da conectividade funcional entre os grupos de participantes foi feita pelo método Partial Least Square. Também foi utilizado o método Behavior Partial Least Square para buscar um padrão de conexões alteradas que estivesse associado a gravidade dos sintomas psicóticos, ao tempo de tratamento e a duração da psicose não tratada. A análise estatística contou com 10.000 permutações e um método de reamostragem e foram considerados significativos valores de p<0.05. RESULTADOS: As alterações nas redes, em sua maioria, foram devido à mudança de correlação positiva para correlação negativa nos pacientes em relação aos controles. As redes com maior número de conexões alteradas entre pacientes e controles foram a rede sensóriomotor mão, Default Mode Network (DMN) e rede visual. As conexões estiveram mais alteradas no lobo frontal direito. Não foi encontrada associação entre o padrão de conectividade funcional dos pacientes e a duração de psicose não tratada, o tempo de tratamento farmacológico e a gravidade da psicose. Na comparação entre pacientes e irmãos, foi encontrada uma tendência à significância de um padrão de conexões alteradas. Não foi encontrada diferença significativa entre o grupo de irmãos e o grupo controle. DISCUSSÃO: Pacientes em primeiro episódio psicótico apresentaram maior segregação das redes do estado de repouso comparados a controles de base populacional, corroborando a hipótese etiológica da Esquizofrenia de uma desconectividade funcional do cérebro. A rede sensório-motor mão surpreendentemente foi a rede com maior número de alterações, apontando a necessidade de mais estudos sobre a mesma. Os irmãos não apresentaram um padrão de conexões do repouso diferente dos controles, não corroborando as hipóteses de que tal grupo apresentaria um padrão intermediário entre pacientes e controles. CONCLUSÃO: Os achados apontam para um uma topologia cerebral amplamente prejudicada já no início da psicose, com uma maior segregação entre as redes do estado de repouso em pacientes de primeiro episódio psicótico. / INTRODUCTION: Psychiatric disorders with psychotic symptoms bring significant occupational and social harm to their patients, with increased mortality and morbidity. These disorders have been studies as changes in the functional connectivity patterns in resting state brain networks. However, reports are more frequently made in chronic patients, with a scarce literature from first episode psychosis patients, mostly not making intra-networks comparison. OBJECTIVE: This was an exploratory study that had the objective of characterize the brain functional connectivity of resting networks in first episode psychosis patients through functional magnetic resonance imaging compared to siblings and to population based controls. METHODS: Final sample consisted of 38 first episode psychosis, 13 siblings and 41 population-based controls. Functional magnetic resonance images were collected in first episode psychosis, siblings and population based controls. Functional connectivity was obtained through the Pearson Correlation Coefficient of 264 regions of interest BOLD signal time series´. Comparison of functional connectivity among groups of participants was made using Partial Least Square method. Behavior Partial Least Square was performed to seek for a pattern associated with illness severity, pharmacological treatment time and duration of untreated psychosis. The statistical analysis was conducted with 10,000 permutations and bootstrap considering significant values of p<0.05. RESULTS: Aberrant network connections were mostrly due to changes of positive correlation to negative correlation in patients compared to controle. The majority of altered connections were found in sensory-motor network, DMN and visual network. The areas most affected were right frontal lobe. It was not found a functional connectivity pattern associated with illness severity, treatment time and duration of untreated psychosis. A tendency difference was found in the connectivity pattern between siblings and patients. No different connectivity pattern was found between siblings and controls. DISCUSSION: First episode psychosis presented more segregated resting state networks than controls, reinforcing the disconnectivity etiology hypothesis for schizophrenia. An unexpected result was sensory-motor hand network being the network with more altered connections, pointing to the need of more studies to comprehend it. The sibling group did not differ from the control group, not corroborating the hypotheses that such a group would present an intermediate pattern between patients and controls. CONCLUSION: The findings point to a largely impaired brain topology already at the beginning of the psychosis, with greater segregation between resting state networks in patients with first episode psychosis.

This study analyzed the acute effect of water consumption on resting metabolic rate (RMR). It was hypothesized that water would have a small, nonclinically significant effect on RMR. Men and women ages 18–40 years participated in a crossover study in which each participant received a No Water and Water condition (order determined randomly) with a 7-day washout period between each condition. Both conditions began with visual analog scales to gauge hunger and thirst levels, urine spectrometry to quantify hydration status, and height and weight measurements. The No Water condition consisted of a 30-minute rest period followed by 45 minutes of RMR testing. The Water condition was identical except for the administration of 500 ml of purified water at 3 °C 10 minutes prior to the beginning of the RMR measurement. Resting metabolic rate testing was done via indirect calorimetry. There was not a condition-by-time difference in 24-hour resting energy expenditure, oxygen consumption, or metabolic equivalents when including all data points and controlling for nonlinearity (ps > 0.0682). There was a significant difference in respiratory quotient (RQ) (F = 13.73; p = 0.0006) with the No Water condition showing a slightly higher RQ than the Water condition. The nonlinear pattern was primarily driven by the first several minutes of testing. Accordingly, we completed analyses without the first 5 minutes of data. The results persisted; that is, there was no condition-by-time effect in 24-hour resting energy expenditure, oxygen consumption, or metabolic equivalents (ps > 0.2435). Further, the RQ remained significantly different (F = 10.57; ps > 0.0023); however, it was slightly higher in the Water condition. This study did not support our hypothesis that consumption of 500 ml of water would have a measurable effect on RMR and fuel utilization compared to not consuming water. Rather, this study replicates other studies that suggest there is not an acute measurable effect of water consumption on RMR. Nevertheless, one positive application of these findings is that water may be a suitable control in RMR studies. In addition, these results should not discourage overall water consumption for healthy functioning. Further, consumption of water-rich foods over time could be an effective strategy for weight management (as shown in other studies). Future studies could attempt to determine if larger volumes of water or different temperatures of water have an effect on RMR.

Background: Methamphetamine (MA) abuse is a global crisis that exacerbates sociopolitico-economic burdens in South Africa. MA use is associated with a myriad of neural abnormalities of structure and function, with associated neurocognitive deficits, particularly executive function (EF). Working memory (WM) training has been identified as a potential adjunct to treatment of substance use disorder (SUD) to improve EF in the hope of reducing relapse rates. Neuroimaging suggests MA alters intrinsic resting state functional connectivity (rsFC), and this may contribute to neuropsychological deficits observed in methamphetamine use disorder (MUD). Methods: This nested study analysed data described in Brooks et al. (2016), in which WM training was used as an adjunct to inpatient treatment of MUD. Healthy controls (HC, N = 25) were compared to two MUD groups, one receiving treatment as usual (TAU, N = 17), and one receiving additional cognitive training (CT, N = 24) in the form of a modified version of the ‘N-back' task (C-Ya). This task was also used to assess WMA in the neural scanner, using conditions of 0-back and 1-back across groups. The current research explored these data in a novel manner through examining rsFC. Hypotheses: It was predicted that: 1) HC and MUD participants would differ on measures of WMA, but WMA would improve in MA groups at follow-up compared to baseline and this would be augmented in the CT group; 2) rsFC networks of neural regions supporting WM would be predictive of ability to perform well and improve on WM tasks; and 3) MA groups would display heightened rsFC activity within and between resting state neural networks of the default mode network (DMN) and canonical cognitive control networks (CCNs). Results: Significant differences were observed between HC and MA groups in race and level of education, but not on WMA as tested in the scanner. The CT group, who completed WMA 3-back conditions, demonstrated significant improvement on this task post- intervention. Exploratory regression models showed the WM rsFC network did not demonstrate significant relationships with any clinical, demographic, or WM variables when controlling for multiple comparisons. Heightened connectivity within and between the DMN and CCNs was observed in the MUD compared to the HC group, which provided support for hypothesis 3. Exploratory multivariate regression models demonstrated race, age, education, duration of drug use, and an interaction of group and abstinence may impact rsFC in these networks. Post-hoc analyses identified pairwise network combinations affected by these variables. Conclusions: Despite limitations of this small study, it offers tentative preliminary insights into the largely unexplored field of rsFC in MA populations. This study supports limited research demonstrating hyperconnectivity within and between CCNs and DMN of MA users. This study also offers support for recent research suggesting that easier conditions of the Nback task may not reliably test all aspects of WM function. Exploratory analyses of covariates potentially affecting rsFC provide a platform for directions of future research.

Introduction : L'électroconvulsivothérapie (ECT) est un traitement non pharmacologique du trouble dépressif résistant. Bien que son efficacité ait été démontrée dans cette indication, les mécanismes cérébraux qui sous-tendent ce processus restent très imprécis. Il n'existe actuellement pas de travail étudiant l'effet d'une ECT efficace au niveau des modifications structurofonctionnelles cérébrales. Il semble primordial de poursuivre l'étude des corrélats neuroanatomiques précoces et plus tardifs sous tendant les processus neurofonctionnels responsables de l'amélioration de la clinique. Méthodes : Il s'agit d'une étude mono centrique menée sur le CHU de Toulouse. Chez des patients présentant un trouble dépressif résistant, des évaluations cliniques et en IRM multimodale sont réalisées à 4 temps. La 1ère évaluation a lieu avant le début de la cure, la 2ème après une 1ère ECT, la 3ème après une 1ère ECT efficace et la 4ème après rémission.Résultats: Concernant le volume de l'hippocampe et de l'amygdale à la première visite n'était pas diffèrent du volume à la troisième visite (t(135) = .329, p = .94). Au contraire, il y avait une différence significatif entre le volume de deux structures entre la première et la quatrième visite (t(135) = -2.47, p = .039) et entre la troisième et la quatrième visite (t(135) = -3.51, p = .002). Concernant la diffusivité moyenne en tant que l'effet des visites tend vers la significativité pour la DM (F(2,136) = 2.67, p = .072). En IRM resting state, il existe une hypoconnectivité précoce entre (i) l'hippocampe Droit et le cortex Cingulaire antérieur dorsal (t = -6.20 ; pFDR : 0.0123) ; (ii) l'hippocampe Droit et le noyaux caudé gauche ( t = -7.69 ; pFDR : 0.0035) et (iii) le vermis cervelet et le precuneus (t = -5.93 p FDR : 0.0363). Il existe une hyperconnectivité entre V4 et V1 entre (i) le cortex orbito frontal médian droit et le gyrus occipital médian (t = 6.58 ; p FDR : 0.0146) et (ii) le gyrus frontal inférieur droit et le cortex fronto median gauche (t = 6.83 ; pFDR : 0.0104). Il existe une diminution significative des symptomes de depression entre la V4 et la V1 à l'échelle d'Hamilton (V4: 3,08 ET : 1,62 ; V1 : 23,17 ET : 3,21 ; p <0.001).Conclusion : Il semble exister des modifications structuro-fonctionnelle à l'issu de la cure d'ECT sans modifications structurelles et micro structurelles précoces. / Background: Electroconvulsive Therapy (ECT) is a non-pharmacological treatment of resistant depressive disorder. Although its efficacy has been demonstrated in this indication, the brain mechanisms underlying this process remain very imprecise. There is currently no work studying the effect of one effective ECT on cerebral structural changes. It seems essential to continue the study of the early and late neuroanatomical correlates underlying neurofunctional processes responsible for improving the clinic. Methods: This is a mono-centric study conducted on the Toulouse University Hospital. In patients with resistant depressive disorder, clinical and multimodal MRI assessments are performed at 4-step intervals. The first evaluation takes place before the beginning of the treatment, the 2nd after a 1st ECT, the 3rd after a 1st effective ECT and the 4th after remission. Results: Regarding the volume of the hippocampus and amygdala at the first visit was not different from the volume at the third visit (t (135) = .329, p = .94). On the contrary, there was a significant difference between the volume of two structures between the first and the fourth visit (t (135) = -2.47, p = .039) and between the third and fourth visits (t (135) = -3.51, p = .002). For mean diffusivity, the effect of visits showed a trend toward significance for MD (F (2.136) = 2.67, p = .072). In the MRI resting state, there is early hypoconnectivity between (i) the right hippocampus and the dorsal anterior cingulate cortex (t = -6.20, pFDR: 0.0123); (ii) right hippocampus and left caudate nucleus (t = -7.69, pFDR: 0.0035) and (iii) vermis cerebellum and precuneus (t = -5.93 p FDR: 0.0363). There is hyperconnectivity between V4 and V1 between (i) the right medial orbit frontal cortex and the medial occipital gyrus (t = 6.58; p FDR: 0.0146) and (ii) the right inferior frontal gyrus and left fronto medial cortex (t = 6.83, pFDR: 0.0104). There is a significant decrease in the symptoms of depression between V4 and V1 at the Hamilton scale (V4: 3.08 AND: 1.62, V1: 23.17 AND: 3.21, p <0.001). Conclusion: There appears to be structural-functional changes at the end of the ECT course. However, we do not find early structural and micro structural changes.

Abstract Functional communication between brain regions is likely to play a key role in complex cognitive processes that require continuous integration of information across different regions of the brain. This makes the studying of functional connectivity in the human brain of high importance. It also provides new insights into the hierarchical organization of the human brain regions. Resting-state networks (RSNs) can be reliably and reproducibly detected using independent component analysis (ICA) at both individual subject and group levels. A growing number of ICA studies have reported altered functional connectivity in clinical populations. In the current work, it was hypothesized that ICA model order selection influences characteristics of RSNs as well as their functional connectivity. In addition, it was suggested that high ICA model order could be a useful tool to provide more detailed functional connectivity results. RSNs’ characteristics, i.e. spatial features, volume and repeatability of RSNs, were evaluated, and also differences in functional connectivity were investigated across different ICA model orders. ICA model order estimation had a significant impact on the spatial characteristics of the RSNs as well as their parcellation into sub-networks. Notably, at low model orders neuroanatomically and functionally different units tend to aggregate into large singular RSN components, while at higher model orders these units become separate RSN components. Disease-related differences in functional connectivity also seem to alter as a function of ICA model order. The volume of between-group differences reached maximum at high model orders. These findings demonstrate that fine-grained RSNs can provide detailed, disease-specific functional connectivity alterations. Finally, in order to overcome the multiple comparisons problem encountered at high ICA model orders, a new framework for group-ICA analysis was introduced. The framework involved concatenation of IC maps prior to permutation tests, which enables statistical inferences from all selected RSNs. In SAD patients, this new correction enabled the detection of significantly increased functional connectivity in eleven RSNs. / Tiivistelmä Toiminnallisten aivoalueiden välinen viestintä on todennäköisesti avainasemassa kognitiivisissa prosesseissa, jotka edellyttävät jatkuvaa tiedon integraatiota aivojen eri alueiden välillä. Tämä tekee ihmisaivojen toiminnallisen kytkennällisyyden tutkimuksesta erittäin tärkeätä. Kytkennälllisyyden tutkiminen antaa myös uutta tietoa ihmisaivojen osa-alueiden välisestä hierarkiasta. Aivojen hermoverkot voidaan luotettavasti ja toistettavasti havaita lepotilan toiminnasta yksilö- ja ryhmätasolla käyttämällä itsenäisten komponenttien analyysia (engl. Independent component analysis, ICA). Yhä useammat ICA-tutkimukset ovat raportoineet poikkeuksellisia toiminnallisen konnektiviteetin muutoksia kliinisissä populaatioissa. Tässä tutkimuksessa hypotetisoitiin, että ICA:lla laskettaujen komponenttien lukumäärä (l. asteluku) vaikuttaa tuloksena saatujen hermoverkkojen ominaisuuksiin kuten tilavuuteen ja kytkennällisyyteen. Lisäksi oletettiin, että korkea ICA-asteluku voisi olla herkempit tuottamaan yksityiskohtaisia toiminnallisen jaottelun tuloksia. Aivojen lepotilan hermoverkkojen ominaisuudet, kuten anatominen jakautuminen, volyymi ja lepohermoverkkojen havainnoinnin toistettavuus evaluoitin. Myös toiminnallisen kytkennällisyyden erot tutkitaan eri ICA-asteluvuilla. Havaittiin että asteluvulla on huomattava vaikutus aivojen lepotilan hermoverkkojen tilaominaisuuksiin sekä niiden jakautumiseen alaverkoiksi. Pienillä asteluvuilla hermoverkojen neuroanatomisesti erilliset yksiköt pyrkivät keräytymään laajoiksi yksittäisiksi komponenteiksi, kun taas korkeammilla asteluvuilla ne havaitaan erillisinä. Sairauksien aiheuttamat muutokset toiminnallisessa kytkennällisyydessä näyttävät muuttuvan myös ICA asteluvun mukaan saavuttaen maksiminsa korkeilla asteluvuilla. Korkeilla asteluvuilla voidaan havaita yksityiskohtaisia, sairaudelle ominaisia toiminnallisen konnektiviteetin muutoksia. Korkeisiin ICA asteluvun liittyvän tilastollisen monivertailuongelman ratkaisemiseksi kehitimme uuden menetelmän, jossa permutaatiotestejä edeltävien itsenäisten IC-karttoja yhdistämällä voidaan tehdä luotettava tilastollinen arvio yhtä aikaa lukuisista hermoverkoista. Kaamosmasennuspotilailla esimerkiksi kehittämämme korjaus paljastaa merkittävästi lisääntynyttä toiminnallista kytkennällisyyttä yhdessätoista hermoverkossa.

Dans la nature, la réduction de l'oxygène et l'oxydation de l'hydrogène sont catalysées par des enzymes oxydoréductases. Ces catalyseurs spécifiques, efficaces, renouvelables et biodégradables constituent une alternative séduisante au platine dans les piles à combustible. L'immobilisation à des interfaces nanostructurées de l'hydrogénase membranaire tolérante à l'oxygène de la bactérie hyperthermophile Aquifex aeolicus, et de la bilirubine oxydase thermostable de la bactérie Bacillus pumilus, a été étudiée dans ce sens.L'électrochimie et la dynamique moléculaire ont permis d'affiner le modèle d'orientation de l'hydrogénase sur les surfaces planes. L'efficacité de l'immobilisation de l'hydrogénase sur différents nanomatériaux carbonés (nano-particules, tubes et fibres de carbone) structurant la surface de l'électrode a été évaluée. Les nanofibres de carbone (CNFs) ont permis de former une bioanode efficace pour l'oxydation de l'H2 en l'absence de médiateurs redox. L'étude a souligné l'importance d'un transport efficace du substrat dans le film carboné mésoporeux. Les CNFs ont également été utilisées comme matériau d'électrode pour réaliser la 1ère connexion directe de la bilirubine oxydase. L'existence d'une forme resting alternative de l'enzyme, influencée par les ions chlorures, le pH et la température, a été mise en évidence. Une biocathode efficace pour la réduction de l'oxygène a été développée.Les deux électrodes thermostables ont permis le développement de la 1ère biopile H2/O2 qui délivre des densités de puissance supérieures au mW.cm-2 sur une large gamme de température. Ce résultat ouvre la voie à l'alimentation électrique de dispositifs de faibles puissances. / The oxygen reduction and the hydrogen oxidation reactions are realized in nature by oxidoreductase enzymes. These highly efficient, specific, renewable and biodegradable catalysts appear as a seducing alternative to platinum in fuel cell devices. The immobilization at nanostructured interfaces of the membrane-bound oxygen-tolerant hydrogenase from the hyperthermophilic bacterium Aquifex aeolicus, and of the thermostable bilirubin oxidase from Bacillus pumilus, has been studied within this objective.Electrochemistry and molecular dynamics have been used to validate the orientation model of the hydrogenase at planar electrodes. Hydrogenase immobilisation in 3D-networks based on various carbon materials (nanoparticles, nanotubes and nanofibers) has been especially studied. Fishbone carbon nanofibers were demonstrated to provide an efficient platform for mediatorless H2 oxidation. Mass transport inside the carbon mesoporous film has been especially studied and demonstrated to be one of the limitations of the catalytic efficiency. Direct electrical connection of bilirubin oxidase has also been realized for the first time thanks to its immobilization on carbon nanofiber films. An alternative resting form of the enzyme, influenced by chlorides, pH and temperature, has been evidenced. An efficient biocathode for the oxygen reduction reaction has been developed. Thanks to the two thermostable electrodes, the first H2-O2 bio fuel cell able to deliver power densities over 1 mW.cm-2 over a large temperature range has been developed. This result paves the way for the electrical alimentation of low-power devices.

Alzheimer's disease (AD) is developing into the single greatest healthcare challenge in the coming decades. The development of early and effective treatments that can prevent the pathological damage responsible for AD-related dementia is of utmost priority for healthcare authorities. The role of the APOE-ε4 genotype, which has been shown to increase an individual's risk of developing AD, is of central interest to this goal. Understanding the mechanism by which possession of this gene modulates brain function, leading to a predisposition towards AD is an active area of research. Functional connectivity (FC) is an excellent candidate for linking APOE-related differences in brain function to sites of AD pathology. Magnetoencephalography (MEG) is a neuroimaging tool that can provide a unique insight into the electrophysiology underpinning resting-state networks (RSNs) - whose dysfunction is postulated to lead to a predisposition to AD. This thesis presents a range of methods for measuring functional connectivity in MEG data. We first develop a set of novel adaptations for preprocessing MEG data and performing source reconstruction using a beamformer (chapter 3). We then develop a range of analyses for measuring FC through correlations in the slow envelope oscillations of band-limited source-space MEG data (chapter 4). We investigate the optimum time scales for detecting FC. We then develop methods for extracting single networks (using seed-based correlation) and multiple networks (using ICA). We proceed to develop a group-statistical framework for detecting spatial differences in RSNs and present a preliminary finding for APOE-genotype-dependent differences in RSNs (chapter 5). We also develop a statistical framework for quantifying task-locked temporal differences in functional networks during task-positive experiments (chapter 6). Finally, we demonstrate a data-driven parcellation and network analysis pipeline that includes a novel correction for signal leakage between parcels. We use this framework to show evidence of stationary cross-frequency FC (chapter 7).

Soon after the advent of signal-recording techniques in the brain, functional connectivity (FC), a measure of interregional neural interactions, became an important tool to assess brain function and its relation to structure. It was discovered that certain groups of regions in the brain corresponding to behavioural domains are organized into intrinsic networks of connectivity (ICNs). These networks were shown to exhibit high FC during rest, and also during task. ICNs are not only delineated by areas which correspond to various behaviours, but can be modulated in the long and short-term in their connectivity by disease conditions, learning, and task performance. The significance of changes in FC, permanent and transient, is poorly understood with respect to even the simplest ICNs corresponding to motor and visual regions. A better grasp on how to interpret these changes could elucidate the mechanisms and implications of patterns in FC changes during therapy and basic tasks. The aim of this work is to examine long-term changes in the connectivity of several ICNs as a result of modulation by stroke and rehabilitation, and to assess short term changes due to simple, continuous task performance in healthy volunteers. To explore long-term changes in ICN connectivity, fifteen hemiparetic stroke patients underwent resting state scanning and behavioural testing before and after a two-week session of Constraint Induced Movement Therapy (CIMT). It was found that therapy led to localized increases in FC within the sensorimotor ICN. To assess transient changes in FC with task, sixteen healthy volunteers underwent a series of scans during rest, continuous performance of a non-demanding finger-tapping task, viewing of a continuous visual stimulus, and a combined (but uncoupled) visual and motor task. Group Independent Component Analysis (ICA) revealed that canonical ICNs remained robustly connected during task conditions as well as during rest, and dual regression/seed analyses showed that visual and sensorimotor ICNs showed divergent patterns of changes in FC, with the former showing increased intra-network connectivity and the latter decreased intra-network connectivity. Additionally, it was found that task activation within ICNs has a relationship to these changes in FC. Overall, these results suggest that modulation of functional connectivity is a valuable and informative tool in the study of disease recovery and task performance.

Explorations into the organisation of spontaneous activity within the brain have demonstrated the existence of networks of temporally correlated activity, consisting of brain areas that share similar cognitive or sensory functions. These so-called resting state networks (RSNs) emerge spontaneously during rest and disappear in response to overt stimuli or cognitive demands. In recent years, the study of RSNs has emerged as a valuable tool for probing brain function, both in the healthy brain and in disorders such as schizophrenia, Alzheimer’s disease and Parkinson’s disease. However, analyses of these networks have so far been limited, in part due to assumptions that the patterns of neuronal activity that underlie these networks remain constant over time. Moreover, the majority of RSN studies have used functional magnetic resonance imaging (fMRI), in which slow fluctuations in the level of oxygen in the blood are used as a proxy for the activity within a given brain region. In this thesis we develop the use of magnetoencephalography (MEG) to study resting state functional connectivity. Unlike fMRI, MEG provides a direct measure of neuronal activity and can provide novel insights into the temporal dynamics that underlie resting state activity. In particular, we focus on the application of non- stationary analysis methods, which are able to capture fast temporal changes in activity. We first develop a framework for preprocessing MEG data and measuring interactions within different RSNs (Chapter 3). We then extend this framework to assess temporal variability in resting state functional connectivity by applying time- varying measures of interactions and show that within-network functional connectivity is underpinned by non-stationary temporal dynamics (Chapter 4). Finally we develop a data driven approach based on a hidden Markov model for inferring short lived connectivity states from resting state and task data (Chapter 5). By applying this approach to data from multiple subjects we reveal transient states that capture short lived patterns of neuronal activity (Chapter 6).