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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| 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 62 |
| 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. |
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