en
Privat-docent thesis
English

Advances in clinical neurophysiology

Defense date2022-02-07
Abstract

Recent developments in neurophysiological methods have broadened our understanding of the human brain and improved management of neurological disorders. Electric source imaging (ESI) is a non-invasive technique which applies mathematical algorithms to localize the source of a given electroencephalogram (EEG) or evoked potential (EP) pattern in real time. This technique allows reconstructing brain activity measured from scalp electrodes and can be applied in the individual patient to fit different clinical purposes. ESI based on high-density EEG recordings significantly improved non-invasive preoperative evaluation of epilepsy surgery and helped to include patients previously not considered surgical candidates. In experimental settings, ESI is performed to localize areas involved in sensory processing. Brain source imaging of somatosensory evoked potentials (SEP) are employed during presurgical planning to localize the functional cortex and to avoid this region during lesion resection. Research laboratories apply ESI to chemosensory event-related potentials (CSERP) to elucidate the spatial and temporal dynamics of the olfactory pathway. Nowadays, ESI is used for either clinical or research purposes, since it provides objective measurements of brain mapping that cannot be achieved by conventional analysis which are restricted to the scalp surface.

eng
Keywords
  • Evoked potentials
  • Multiple sclerosis
  • Coma
  • Olfaction
  • Electroencephalography
  • Electric source imaging
  • Somatosensory
  • Epilepsy
  • Epilepsy surgery
  • MRI
  • PET
  • Pain
  • Demyelinating disorders
  • Dementia
  • Eloquent cortex
  • Neurosurgery
  • Neuroimaging
  • Clinical yield
Citation (ISO format)
LASCANO, Agustina Maria. Advances in clinical neurophysiology. 2022. doi: 10.13097/archive-ouverte/unige:158829
Main files (1)
Thesis
accessLevelPrivate
Identifiers
237views
0downloads

Technical informations

Creation02/08/2022 9:13:00 PM
First validation02/08/2022 9:13:00 PM
Update time03/16/2023 2:38:12 AM
Status update03/16/2023 2:38:11 AM
Last indexation05/06/2024 9:45:09 AM
All rights reserved by Archive ouverte UNIGE and the University of GenevaunigeBlack