EEG (elecotro-encephalograpy) provides a direct window on neuronal activity: it captures the rapid changes in electical fields generated by neuronal firing. In this project, we combine EEG data with data-mining techniques and graph theory to find EEG-markers of neurological diseases.
Epilepsy may have a large varierty of causes, amongst others is may develop after a stroke. Within this project, we study post-stroke epilepsy using high field (7T) MRI.
To gain more insight in accelerated cognitive aging in epilepsy, we are performing a prospective study to investigate the time course of this disease, i.e. we study these patients not only after, but also before and during cascadic decline of certain aspects of cognition.
Functional MRI offers a high spatial but low temporal resolution. EEG, on the other hand, can directly catch the (fast) electrical component of neuronal activity, but has limited spatial precision. In this project, we combine these 2 modalities to obtain complementary information.
MACA-E stands for ‘MRI study of Accelerated Cognitive Aging in Epilepsy’. The notion of accelerated cognitive aging (ACA) as a specific form of cognitive impairment in epilepsy is at the basis of the Neu3
CA program, but is based on clinical experience rather than systematic investigation. The MACA-E study aims to investigate how prevalent ACA in epilepsy is, and what (specific) brain (network) abnormalities are associated with it.
TMS is an FDA-approved treatment modality for depression. This means we know that
it works in clinical practise, but not exactly how
. To gain more understanding, we use fMRI and DTI to study depression patients before, during and after a series of TMS treatments. Better understanding of the mechanisms of TMS in depression may also help to improve other TMS application, for example to treat cognitive impairments in epilepsy.
Cortical thickness is a marker for the amount of nerve fibers that locally originate. Abnormalities in cortical thickness may thys indicate abnormal white matter and structural network impairments.
One of the hallmarks of cognitive aging is increased difficulty in switching between tasks. Also mental speed is affected. In this project, we investigate these issues using neuropsychological testing, and look at their relation with epilepsy.