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Thèses sur le sujet « Brain functional Network »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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1

Deshpande, Gopikrishna. "Nonlinear and network characterization of brain function using functional MRI." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/24760.

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Thesis (Ph.D.)--Biomedical Engineering, Georgia Institute of Technology, 2007.<br>Committee Chair: Hu, Xiaoping; Committee Member: Brummer, Marijn; Committee Member: Butera, Robert; Committee Member: Oshinski, John; Committee Member: Sathian, Krish.

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2

SALA, SARA. "Statistical analysis of brain network." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2013. http://hdl.handle.net/10281/43723.

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Recent developments in the complex networks analysis, based largely on graph theory, have been used to study the brain network organization. The brain is a complex system that can be represented by a graph. A graph is a mathematical representation which can be useful to study the connectivity of the brain. Nodes in the brain can be identified dividing its volume in regions of interest and links can be identified calculating a measure of dependence between pairs of regions whose activation signal, measured by functional magnetic resonance imaging (fMRI) techniques, represents the strength

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3

Jao, Tun. "Functional brain network organization in altered states of consciousness." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709230.

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4

Cole, David Michael. "Functional network analysis of human brain systems under pharmacological modulation." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/10933.

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Complex alterations in brain function and neurochemistry underlie pathology and treatment in multiple neuropsychiatric disorders, yet remain incompletely characterised. This thesis outlines possibilities for human neuroimaging techniques sensitive to spontaneous fluctuations in large-scale neurobiological signalling, or ‘resting-state network (RSN) functional connectivity’, to address such knowledge gaps. Novel RSN-sensitive analysis approaches to functional magnetic resonance imaging data are introduced. These techniques are then evaluated experimentally, in contexts relevant for maladaptive

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5

García-García, Isabel, María Ángeles Jurado, Maite Garolera, et al. "Functional network centrality in obesity." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-205556.

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Obesity is associated with structural and functional alterations in brain areas that are often functionally distinct and anatomically distant. This suggests that obesity is associated with differences in functional connectivity of regions distributed across the brain. However, studies addressing whole brain functional connectivity in obesity remain scarce. Here, we compared voxel-wise degree centrality and eigenvector centrality between participants with obesity (n=20) and normal-weight controls (n=21). We analyzed resting state and task-related fMRI data acquired from the same individuals. Re

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6

Gozdas, Elveda. "Quantitative Trends and Topology in Developing Functional Brain Networks." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535381148527108.

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7

McColgan, Peter. "Structural brain network degeneration and functional up-regulation in Huntington's disease." Thesis, University College London (University of London), 2018. http://discovery.ucl.ac.uk/10041942/.

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Huntington’s disease (HD) is a neurodegenerative disorder caused by a CAG repeat expansion in the Huntingtin gene on chromosome 4. In recent years there have been significant advances in understanding both the cellular pathology and the macrostructural changes that occur in the striatum and cortical structures as the disease proceeds. However, it remains unclear how abnormalities at the cellular level lead to characteristic patterns of macrostructural change in the brains of HD patients. In this thesis I aim to link structural and functional brain network abnormalities with regional changes at

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8

Hart, Michael Gavin. "Network approaches to understanding the functional effects of focal brain lesions." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/274018.

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Complex network models of functional connectivity have emerged as a paradigm shift in brain mapping over the past decade. Despite significant attention within the neuroimaging and cognitive neuroscience communities, these approaches have hitherto not been extensively explored in neurosurgery. The aim of this thesis is to investigate how the field of connectomics can contribute to understanding the effects of focal brain lesions and to functional brain mapping in neurosurgery. This datasets for this thesis include a clinical population with focal brain tumours and a cohort focused on healthy ad

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9

Elkin-Frankston, Seth. "Anatomical and functional impact of critical brain areas to network activity and basic visual function." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12752.

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Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.<br>A set of widely distributed brain areas, collectively known as the fronto-parietal network, serve to modulate aspects of visual perception. However, the unique influence exerted by these regions on low-level vi

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10

Ghumman, Sukhmanjit. "Functional connectivity in patients with brain tumours." Mémoire, Université de Sherbrooke, 2018. http://hdl.handle.net/11143/12001.

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Abstract: The default mode network of the brain is a set of functionally connected regions associated with introspection and daydreaming. Recent fMRI studies have discovered that the default mode network is often perturbed in the diseased brain. For example, the default mode network is known to be modulated in dementia, ADHD, depression, and schizophrenia, among others. This has led many into believing that this network could have a role in the physiopathology of nervous system disease, or could be a useful marker of brain function. However, very few studies have yet been done which investigat

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11

Díaz, Parra Antonio. "A network science approach of the macroscopic organization of the brain: analysis of structural and functional brain networks in health and disease." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/106966.

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El cerebro está constituido por numerosos elementos que se encuentran interconectados de forma masiva y organizados en módulos que forman redes jerárquicas. Ciertas patologías cerebrales, como la enfermedad de Alzheimer y el trastorno por consumo de alcohol, se consideran el resultado de efectos en cascada que alteran la conectividad cerebral. La presente tesis tiene como objetivo principal la aplicación de las técnicas de análisis de la ciencia de redes para el estudio de las redes estructurales y funcionales en el cerebro, tanto en un estado control como en un estado patológico. Así, en el

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12

Forcellini, Giulia. "Brain functional connectivity and alcohol use disorder: a graph theoretical approach." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/246082.

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Resting-state functional MRI(rs-fMRI) represents a powerful means to assess brain functional connectivity in healthy subjects and in neuropsychiatric patients. Aberrant functional connectivity has been observed in subjects affected by Alcohol Use Disorders (AUD) and other forms of substance dependence, a major health issue worldwide with limited treatment options. Despite intense investigation, the speciﬁc neuronal substrates involved and the functional implications of aberrant connectivity in these patients remain unknown. Moreover, it is unclear whether treatment can reverse these alteration

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Forcellini, Giulia. "Brain functional connectivity and alcohol use disorder: a graph theoretical approach." Doctoral thesis, Università degli studi di Trento, 2019. http://hdl.handle.net/11572/246082.

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Resting-state functional MRI(rs-fMRI) represents a powerful means to assess brain functional connectivity in healthy subjects and in neuropsychiatric patients. Aberrant functional connectivity has been observed in subjects affected by Alcohol Use Disorders (AUD) and other forms of substance dependence, a major health issue worldwide with limited treatment options. Despite intense investigation, the speciﬁc neuronal substrates involved and the functional implications of aberrant connectivity in these patients remain unknown. Moreover, it is unclear whether treatment can reverse these alteration

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14

Maxwell, Adele. "A functional imaging study of the relationship between the Default Mode Network and other control networks in the human brain." Thesis, University of Dundee, 2013. https://discovery.dundee.ac.uk/en/studentTheses/d1b48289-9bd5-484a-9c3e-61e13704405d.

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The Default Mode Network (DMN) is a large-scale brain network implicated in the control and monitoring of internal modes of cognition. The aim of this research was to investigate DMN function and its relationship to other large-scale cognitive control networks through functional connectivity analysis and analysis of combined electroencephalographic (EEG) recordings. Data utilised across a series of three experiments were obtained from combined EEG-functional Magnetic Resonance Imaging recordings acquired during technical development of a new scanner in the Clinical Research Centre, Ninewells H

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15

Khachaturian, Mark Haig 1979. "Advances in MRI to probe the functional and structural network of the macaque brain." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/44785.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering, 2007.<br>Includes bibliographical references (leaves 95-103).<br>Diffusion MRI and fMRI have provided neuroscientists with non-invasive tools to probe the functional and structural network of the brain. Diffusion MRI is a neuroimaging technique capable of measuring the diffusion of water in neural tissue. It can reveal histological architecture irresolvable by conventional magnetic resonance imaging methods and has emerged as a powerful tool to investigate a wide range of neuropathologies. fMRI is

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16

González, Astudillo Juliana. "Development of Network Features for Brain-Computer Interfaces." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS286.

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Une interface cerveau-machine (ICM) est un système capable de traduire les modèles d’activité cérébrale en messages pour une application. Il permet à un sujet d’envoyer des commandes à un appareil à travers l’activité cérébrale, sans nécessiter d’activité musculaire périphérique. Ces systèmes sont de plus en plus explorés pour le contrôle et la communication, ainsi que pour le traitement des troubles neurologiques, notamment via la capacité des sujets à moduler volontairement leur activité cérébrale grâce à l’imagerie mentale (IM). Pour contrôler une ICM, l’utilisateur doit produire différents

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17

Napoli, Alessandro. "DISSOCIATED NEURONAL NETWORKS AND MICRO ELECTRODE ARRAYS FOR INVESTIGATING BRAIN FUNCTIONAL EVOLUTION AND PLASTICITY." Diss., Temple University Libraries, 2014. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/269449.

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Electrical Engineering<br>Ph.D.<br>For almost a century, the electrical properties of the brain and the nervous system have been investigated to gain a better understanding of their mechanisms and to find cures for pathological conditions. Despite the fact that today's advancements in surgical techniques, research, and medical imaging have improved our ability to treat brain disorders, our knowledge of the brain and its functions is still limited. Culturing dissociated cortical neurons on Micro-Electrode Array dishes is a powerful experimental tool for investigating functional and structural c

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18

Cabral, Joana R. B. "Brain activity during rest : a signature of the underlying network dynammics." Doctoral thesis, Universitat Pompeu Fabra, 2012. http://hdl.handle.net/10803/85414.

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La actividad cerebral exhibe complejos fenómenos oscilatorios similares a los que se observan en modelos de redes artificiales con osciladores acoplados. Por un lado, estudios sobre la actividad cerebral durante el reposo han demostrado la presencia de fluctuaciones lentas estructuradas y modulaciones de potencia a distintas frecuencias. Simultáneamente, estudios teóricos en el ámbito de la física muestran dinámicas similares usando osciladores acoplados. En este trabajo, por primera vez, se usan modelos de osciladores de fase en redes inspiradas en la arquitectura real del cerebro. Los resul

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19

Alsameen, Maryam. "Functional MRI Study of Sleep Restriction in Adolescents." University of Cincinnati / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1602152924202332.

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20

Choi, Eun Young. "The Organization of Corticostriatal Connectivity in the Human Brain." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:11091.

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Neurological and psychiatric disorders reveal that the basal ganglia subserve diverse functional domains, including movement, reward, and cognitive disorders (e.g., Parkinson's disease, addiction, schizophrenia). Monkey anatomical studies show that the striatum, the input structure of the basal ganglia, receives projections from nearly the entire cerebral cortex with a broad topography of motor, limbic, and association zones. However, until recently, non-invasive methods have not been available to conduct the complete mapping of the cortex to the striatum in humans. The development of function

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21

Engström, Maria, Anne-Marie Landtblom, and Thomas Karlsson. "Brain and effort : brain activation and effort-related working memory in healthy participants and patients with working memory deficits." Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-92318.

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Despite the interest in the neuroimaging of working memory, little is still known about the neurobiology of complex working memory in tasks that require simultaneous manipulation and storage of information. In addition to the central executive network, we assumed that the recently described salience network [involving the anterior insular cortex (AIC) and the anterior cingulate cortex (ACC)] might be of particular importance to working memory tasks that require complex, effortful processing. Method: Healthy participants (n = 26) and participants suffering from working memory problems related t

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22

Shakil, Sadia. "Windowing effects and adaptive change point detection of dynamic functional connectivity in the brain." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/55006.

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Evidence of networks in the resting-brain reflecting the spontaneous brain activity is perhaps the most significant discovery to understand intrinsic brain functionality. Moreover, subsequent detection of dynamics in these networks can be milestone in differentiating the normal and disordered brain functions. However, capturing the correct dynamics is a challenging task since no ground truths' are present for comparison of the results. The change points of these networks can be different for different subjects even during normal brain functions. Even for the same subject and session, dynamics

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23

Váša, František. "Characterising disease-related and developmental changes in correlation-derived structural and functional brain networks." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277816.

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Human structural and functional brain architecture is increasingly studied by applying the mathematical framework of complex networks to data from magnetic resonance imaging. Connections (edges) in such brain networks are commonly constructed using correlations of features between pairs of brain regions, such as regional morphology (across participants) or neurophysiological time series (within participants). Subsequent analyses frequently focus on summary network statistics calculated using the strongest correlations, but often neglect potential underlying shifts within the correlation distri

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Lee, John Boaz T. "Deep Learning on Graph-structured Data." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-dissertations/570.

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In recent years, deep learning has made a significant impact in various fields – helping to push the state-of-the-art forward in many application domains. Convolutional Neural Networks (CNN) have been applied successfully to tasks such as visual object detection, image super-resolution, and video action recognition while Long Short-term Memory (LSTM) and Transformer networks have been used to solve a variety of challenging tasks in natural language processing. However, these popular deep learning architectures (i.e., CNNs, LSTMs, and Transformers) can only handle data that can be represented a

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Towlson, Emma Katie. "Complex networks and connectomics : network analysis of organisation from the C. elegans nervous system to the functional connectivity of the human brain." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.709453.

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26

García-García, Isabel, María Ángeles Jurado, Maite Garolera, et al. "Functional network centrality in obesity: a resting-state and task fMRI study." Psychiatry research (2015) 233, 3, S. 331-338, 2015. https://ul.qucosa.de/id/qucosa%3A14785.

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Obesity is associated with structural and functional alterations in brain areas that are often functionally distinct and anatomically distant. This suggests that obesity is associated with differences in functional connectivity of regions distributed across the brain. However, studies addressing whole brain functional connectivity in obesity remain scarce. Here, we compared voxel-wise degree centrality and eigenvector centrality between participants with obesity (n=20) and normal-weight controls (n=21). We analyzed resting state and task-related fMRI data acquired from the same individuals. Re

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27

Kajimura, Shogo. "Mind wandering regulation by non-invasive brain stimulation." 京都大学 (Kyoto University), 2017. http://hdl.handle.net/2433/225352.

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28

Cazzanelli, Silvia. "Functional ultrasound (fUS) imaging of brain functional connectivity alterations in a mouse model of neuropathic pain : impact of nociceptive symptoms and associated comorbidities." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLS010.

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La douleur neuropathique est une sensation de douleur anormale qui persiste au-delà du cours temporel de la guérison naturelle. Elle interfère avec la qualité de vie du patient et est associée à plusieurs comorbidités telles que l'anxiété et la dépression. Des études antérieures ont suggéré que la douleur chronique pourrait résulter d’une plasticité neuronale anormale et inadaptée dans les structures connues pour être impliquées dans la perception de la douleur (Bliss et al. 2016). Cela signifie qu'une lésion nerveuse déclencherait une potentialisation à long terme de la transmission synaptiqu

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29

Gheller, Flavia. "Restoration of auditory network after Cochlear Implant: A P300 and EEG study using LORETA (Low resolution brain electromagnetic tomography)." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3425404.

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The proper functioning of the auditory processing needs an integration of many types of information, and a synchronised action between auditory cortex and other cortical and subcortical centres. The normal development of connectivity between the auditory system and the higher neurocognitive functions depends on sensory experience, and congenital hearing loss makes it essentially impossible. The aim of this work was to perform an electrophysiological analysis of auditory cortical areas in patients with cochlear implant (CI). Thirty implanted patients were included in the study. Twenty-four

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Vergotte, Grégoire. "Adaptability and adaptation to a sensorimotor task : from functional significance of fractal properties to brain networks dynamics." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONT4004/document.

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L’étude des propriétés fractales des séries biologiques fait l’objet d’un intérêt croissant. Néanmoins la littérature met en évidence une ambiguïté quand à l’explication causale de la présence de ces séries temporelles ne permettant pas de distinguer entre l’adaptation effective réalisée par un sujet ou ses capacités d’adaptabilité globales. La présente thèse a pour objectif de décorréler ces deux notions, notamment en liant le niveau comportemental au niveau cérébral. Notre première étude a permise de mettre en évidence que les propriétés mono-fractales pourraient refléter l’adaptabilité des

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31

Pérez, Ramírez María Úrsula. "Characterizing functional and structural brain alterations driven by chronic alcohol drinking: a resting-state fMRI connectivity and voxel-based morphometry analysis." Doctoral thesis, Universitat Politècnica de València, 2018. http://hdl.handle.net/10251/113164.

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El balance del cerebro se altera a nivel estructural y funcional por el consumo de alcohol y puede causar trastornos por consumo de alcohol (TCA). El objetivo de esta Tesis Doctoral fue investigar los efectos del consumo crónico y excesivo de alcohol en el cerebro desde una perspectiva funcional y estructural, mediante análisis de imágenes multimodales de resonancia magnética (RM). Realizamos tres estudios con objetivos específicos: i) Para entender cómo las neuroadaptaciones desencadenadas por el consumo de alcohol se ven reflejadas en la conectividad cerebral funcional entre redes cerebral

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32

Grooms, Joshua Koehler. "Examining the relationship between BOLD fMRI and infraslow EEG signals in the resting human brain." Thesis, Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53957.

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Resting state functional magnetic resonance imaging (fMRI) is currently at the forefront of research on cognition and the brain’s large-scale organization. Patterns of hemodynamic activity that it records have been strongly linked to certain behaviors and cognitive pathologies. These signals are widely assumed to reflect local neuronal activity but our understanding of the exact relationship between them remains incomplete. Researchers often address this using multimodal approaches, pairing fMRI signals with known measures of neuronal activity such as electroencephalography (EEG). It has long

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Dörfel, Denise. "Functional Investigations into the Recognition Memory Network, its Association with Genetic Polymorphisms and Implications for Disorders of Emotional Memory." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-39423.

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Recent research, that has been focused on recognition memory, has revealed that two processes contribute to recognition of previously encountered items: recollection and familiarity (Aggleton & Brown, 1999; Eichenbaum, 2006; Eichenbaum, Yonelinas, & Ranganath, 2007; Rugg & Yonelinas, 2003; Skinner & Fernandes, 2007; Squire, Stark, & Clark, 2004; Wixted, 2007a; Yonelinas, 2001a; Yonelinas, 2002). The findings of neural correlates of recollection and familiarity lead to the assumption that there are different brain regions activated in either process, but there are, to the best of my knowledge,

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Homola, György Ádám [Verfasser], and László [Akademischer Betreuer] Solymosi. "Functional and Microstructural MRI of the Human Brain Revealing a Cerebral Network Processing the Age of Faces / György Ádám Homola. Betreuer: László Solymosi." Würzburg : Universitätsbibliothek der Universität Würzburg, 2012. http://d-nb.info/1022790862/34.

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Dvorak, Jannis [Verfasser], Viola [Gutachter] Oertel, and Christine M. [Gutachter] Freitag. "Illness-state dependent differences of functional brain network organization in bipolar and recurrent major depressive disorder / Jannis Dvorak ; Gutachter: Viola Oertel, Christine M. Freitag." Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2020. http://d-nb.info/1224966287/34.

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Post, Philip [Verfasser], and Andreas [Akademischer Betreuer] Meyer-Lindenberg. "The effect of repetitive transcranial magnetic stimulation and the brain-derived neurotrophic factor genotype on resting-state functional network connectivity. / Philip Post ; Betreuer: Andreas Meyer-Lindenberg." Heidelberg : Universitätsbibliothek Heidelberg, 2021. http://d-nb.info/1229442340/34.

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MUZZI, LORENZO. "Development of engineered human-derived brain-on-a-chip models for electrophysiological recording." Doctoral thesis, Università degli studi di Genova, 2022. http://hdl.handle.net/11567/1091007.

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The study of the central nervous system represents a great challenge in the field of neuroscience. For years, various techniques have been developed to study neuronal cells in-vitro as it is difficult to conduct in-vivo experiments due to ethical problems deriving from its anatomical location. Consequently, both in-vivo and in-vitro animal models have been used extensively to gain new insights into basic functioning principles of neuronal tissue and therapeutic approaches for brain diseases. Over time, we have seen that there is a poor correlation between the clinical diagnosis and the underly

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Jukuri, T. (Tuomas). "Resting state brain networks in young people with familial risk for psychosis." Doctoral thesis, Oulun yliopisto, 2016. http://urn.fi/urn:isbn:9789526211107.

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Abstract Neuropsychiatric illnesses usually become overtly manifest in adolescence and early adulthood. A critical long-term aim is to be able to prevent the development of such illnesses, which requires instruments to identify subjects at high risk of illness and to offer them effective interventions. There is an indisputable need for more sophisticated methods to enable more precise detection of adolescents and young adults who are at high risk of developing psychosis. Abnormal function in brain networks has been reported in people with schizophrenia and other psychotic disorders. Similar ab

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Thompson, Garth John. "Neural basis and behavioral effects of dynamic resting state functional magnetic resonance imaging as defined by sliding window correlation and quasi-periodic patterns." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/49083.

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While task-based functional magnetic resonance imaging (fMRI) has helped us understand the functional role of many regions in the human brain, many diseases and complex behaviors defy explanation. Alternatively, if no task is performed, the fMRI signal between distant, anatomically connected, brain regions is similar over time. These correlations in “resting state” fMRI have been strongly linked to behavior and disease. Previous work primarily calculated correlation in entire fMRI runs of six minutes or more, making understanding the neural underpinnings of these fluctuations difficult. Recent

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Rogers, Edmond A. "Simultaneous Electrophysiological and Morphological Assessment of Impact Damage to Nerve Cell Networks." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1157638/.

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A ballistic pendulum impulse generator was used to impact networks in primary culture growing on microelectrode arrays. This approach has the advantage of imparting pure tangential acceleration insults (50 to 300 g) with simultaneous morphological and electrophysiological multichannel monitoring for days before and after the impact. Action potential (AP) production, network activity patterns, and cell electrode coupling of individual units using AP waveshape templates were quantified. Network adhesion was maintained after tangential impacts up to 300g with minimal loss of pre-selected active

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Abou, Elseoud A. (Ahmed). "Exploring functional brain networks using independent component analysis:functional brain networks connectivity." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526201597.

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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 alter

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Putter, Phillipus Johannes. "The development of functional hyaluronan hydrogels for neural tissue engineering." Thesis, University of Oxford, 2015. http://ora.ox.ac.uk/objects/uuid:cd043ef4-a7bd-44f4-a9bf-4055e3d5ac13.

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Tissue engineers – in order to develop therapies for the treatment of complex neurological injuries and diseases – attempt to recreate elaborate developmental mechanisms in vitro. Neuronal precursor cells are excellent candidates for the study of developmental operations such as cell adhesion, differentiation, and axonal pathfinding. Hyaluronan (HA) is a common polysaccharide that is found extensively throughout the neuronal extracellular matrix (ECM), and can be functionalised and crosslinked to form stable hydrogels that support growing neuronal cells. Hyaluronan hydrogels can be modified ch

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CROBE, ALESSANDRA. "Reti complesse e analisi del segnale elettroencefalografico." Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266683.

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The identification of subject-specific traits extracted from patterns of brain activity still represents an important challenge. The need to detect distinctive brain features, which is relevant for biometric and brain computer interface systems, has been also emphasized in monitoring the effect of clinical treatments and in evaluating the progression of brain disorders. Graph theory and network science tools have revealed fundamental mechanisms of functional brain organization in resting-state M/EEG analysis. Nevertheless, it is still not clearly understood how several methodological aspects m

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Gomez, Chloé. "DeepStim Project. Modeling states of consciousness and their modulation by electrical Deep Brain Stimulation : from experimental data to computational models." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASL027.

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Le diagnostic des patients dans le coma est souvent diﬃcile. Les examens cérébraux ren- seignent les médecins sur l’étendue des lésions cérébrales mais ne permettent pas de déterminer avec précision l’état de conscience du patient. De plus, aucune approche thérapeutique ne permet une restauration systématique de la conscience.Des études pionnières menées sur des patients et des Primates Non Humains (PNH) ont montré que la Stimulation Cérébrale Profonde (SCP) des noy- aux intralaminaires du thalamus pouvait restaurer ou améliorer la conscience lorsqu’elle est altérée.Cependant, les conséquences

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Breukelaar, Isabella. "Understanding The Brain Networks Underlying Cognition." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/21109.

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The advancement of magnetic resonance imaging (MRI) has allowed us to begin to explore how brain regions work collectively in order to produce important functions. The cognitive control network (CCN)—involving the dorsolateral prefrontal cortex, the dorsal parietal cortex and the dorsal anterior cingulate cortex—is associated with the production of goal-directed or “cognitive control” behaviors, which are imperative to our intellectual, social and emotional processes. However, how certain properties of this network directly relate to function is yet to be established. This thesis aimed to use

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Riedl, Valentin. "Intrinsic functional brain networks in health and disease." Diss., lmu, 2012. http://nbn-resolving.de/urn:nbn:de:bvb:19-146655.

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YAMIN, MUHAMMAD ABUBAKAR. "Investigating Brain Functional Networks in a Riemannian Framework." Doctoral thesis, Università degli studi di Genova, 2021. http://hdl.handle.net/11567/1040663.

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The brain is a complex system of several interconnected components which can be categorized at different Spatio-temporal levels, evaluate the physical connections and the corresponding functionalities. To study brain connectivity at the macroscale, Magnetic Resonance Imaging (MRI) technique in all the different modalities has been exemplified to be an important tool. In particular, functional MRI (fMRI) enables to record the brain activity either at rest or in different conditions of cognitive task and assist in mapping the functional connectivity of the brain. The information of brain func

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Littlewort, G. C. "Neural network analysis and simulation." Thesis, University of Oxford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292677.

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Halnes, Geir. "Biological network modelling : relating structure and dynamics to function in food webs and neural networks /." Uppsala : Dept. of Biometry and Engineering, Swedish University of Agricultural Sciences, 2007. http://epsilon.slu.se/2007113.pdf.

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Schäfer, Alexander. "Identifying Changes of Functional Brain Networks using Graph Theory." Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-166041.

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This thesis gives an overview on how to estimate changes in functional brain networks using graph theoretical measures. It explains the assessment and definition of functional brain networks derived from fMRI data. More explicitly, this thesis provides examples and newly developed methods on the measurement and visualization of changes due to pathology, external electrical stimulation or ongoing internal thought processes. These changes can occur on long as well as on short time scales and might be a key to understanding brain pathologies and their development. Furthermore, this thesis describ

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