Exploring functional connectivity dynamics in brain disorders: a whole-brain computational framework for resting state fMRI signals
Brain activity, on every scale, spontaneously fluctuates, thereby exhibiting complex, dynamic interactions that manifest rich synchronization patterns. The past ten years have been dominated by studies intended to further our understanding of the mecha-nisms behind the dynamic interactions within th...
| Autor: | |
|---|---|
| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/350799 |
| Acceso en línea: | http://hdl.handle.net/10803/350799 |
| Access Level: | acceso abierto |
| Palabra clave: | Resting-state fMRI Networks Dynamic functional connectivity Computational neuropsychiatry Effective connectivity Bifurcations fMRI estado de reposo Redes Conectividad funcional dinámica Neuropsiquiatria computacional Conectividad efectiva Bifurcaciones 004 616.8 |
| Sumario: | Brain activity, on every scale, spontaneously fluctuates, thereby exhibiting complex, dynamic interactions that manifest rich synchronization patterns. The past ten years have been dominated by studies intended to further our understanding of the mecha-nisms behind the dynamic interactions within the brain through the basis of its structural and functional connectivity structures. Moreover, there is a tremendous effort to unveil the role that these interactions play in psychiatric disorders. This thesis addresses these questions from novel perspectives. The first pillar of this thesis is the time-varying na-ture of the dynamic interactions between brain regions. The second pillar is the role that FC dynamics play in clinical populations. The third pillar uncovers the connectivity structure that links the observed anatomical and functional connectivity patterns through computational modeling. The final pillar of the thesis proposes a mechanistic explana-tion for brain disorders. |
|---|