Mechanistic insights into the large-scale dynamics underlying different brain states

Brain activity during rest exhibits a robust intrinsic spatio-temporal structure characterized by correlated patterns of neural activity. The study of the brain in altered states of vigilance or drug-induced brain states has revealed a number of local and global alterations of this activity and chan...

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Detalles Bibliográficos
Autor: Jobst, Beatrice M.
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/563080
Acceso en línea:http://hdl.handle.net/10803/563080
Access Level:acceso abierto
Palabra clave:Resting-state
Human sleep
LSD
Brain state
fMRI
Whole-brain computational modeling
Perturbation
Resting-state networks
Functional connectivity
Effective connectivity
Estado de reposo
Sueño humano
Estado del cerebro
IRMf
Modelaje computacional de actividad cerebral
Perturbación
Conectividad funcional
Conectividad efectiva
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Descripción
Sumario:Brain activity during rest exhibits a robust intrinsic spatio-temporal structure characterized by correlated patterns of neural activity. The study of the brain in altered states of vigilance or drug-induced brain states has revealed a number of local and global alterations of this activity and changes in the spatio-temporal correlation patterns. Yet, we are still missing a mechanistic explanation of the dynamics underlying these experimentally observed phenomena. In this thesis we will use whole-brain computational modeling to try to elucidate the dynamical processes governing these distinct brain states. We will show how models of whole-brain activity and dynamical alterations thereof on a local level can be applied to efficiently dissociate between different brain states by their dynamical properties and how they therefore provide a mechanistic characterization of each state. We will demonstrate that one unified framework can account for an effective description and identification of several entirely distinct brain states.