Privat-docent thesis

Towards connectivity-based imaging markers of function and dysfunction in neurological diseases

Defense date2020

Higher cognitive functions, such as the reading of intentionality in someone's face, or the judgment about an unexpected harmony in a song, are based on a complex neuronal interaction between multiple regions across the brain. These interactions can be traced by functional brain imaging techniques, and considerable effort has been given to describe normal and altered brain networks during cognitive tasks, as well as in the brain at rest. Here I present several studies that establish the structural and functional connectivity underlying selected higher cognitive tasks, as well as pathologically altered connectivity in patients at rest, with an application to multiple sclerosis. These results provide additional information about the state of the disease in every single patient, and this information can be used to additionally characterize the patient's condition. The results offer new perspectives to describe, monitor or stratify patients according to the individual profile of the altered pattern of functional networks using different modalities of functional and structural brain imaging.

  • fMRI
  • DTI
  • EEG-topography
  • Microstates
  • Functional connectivity
  • Tractography
  • Face processing
  • Gaze processing
  • musical syntax processing
  • Multiple sclerosis
  • Prediction
  • Classification
Citation (ISO format)
GSCHWIND, Markus A. Towards connectivity-based imaging markers of function and dysfunction in neurological diseases. 2020. doi: 10.13097/archive-ouverte/unige:130091
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Creation02/05/2020 4:53:00 PM
First validation02/05/2020 4:53:00 PM
Update time03/15/2023 9:07:09 PM
Status update03/15/2023 9:07:08 PM
Last indexation08/30/2023 10:11:36 PM
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