Abstract #0642

Detection of epileptic networks using wavelet coherence analysis of dynamic local fMRI connectivity and simultaneous scalp EEG

Amir Omidvarnia¹, David Vaughan^1,2, Mangor Pedersen¹, Mira Semmelroch¹, David Abbott¹, and Graeme Jackson^1,2,3

¹Epilepsy Imaging, The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, ²Department of Neurology, Austin Health, Melbourne, Australia, ³Department of Medicine, The University of Melbourne, Melbourne, Australia

In this study, we aimed at developing an objective method for detecting clinically suspected epileptic networks through possible association between interictal EEG discharges and dynamic local fMRI connectivity in focal epilepsy. We designed a time-frequency framework for analysis of wavelet coherence between scalp EEG band amplitude fluctuations (BAFs) and dynamic regional phase synchrony (DRePS) of task-free fMRI in seven patients. The proposed method reveals nonstationary relationship between scalp interictal epileptic discharges (IEDs) and DRePS within ultra-slow frequencies (~0.003 – 0.03Hz). Evaluation of dynamic fMRI phase synchrony at rest, particularly using data-fusion with interictal scalp EEG, may provide useful markers of localized and transient brain connectivity disturbance in epilepsy.

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