Simultaneous Intracranial EEG-fMRI Shows Inter-Modality Correlation in Time-Resolved Connectivity Within Normal Areas but Not Within Epileptic Regions

Ben Ridley (1) , Jonathan Wirsich (1) , Gaelle Bettus (1) , Roman Rodionov (2) , Teresa Murta (2) , Umair Chaudhary (2) , David Carmichael , Rachel Thornton , Serge Vulliemoz , Andrew Mcevoy , Fabrice Wendling (3) , Fabrice Bartolomei (4) , Jean-Philippe Ranjeva (1) , Louis Lemieux (5) , Maxime Guye (1)

1 CRMBM - Centre de résonance magnétique biologique et médicale
2 Institute of Neurology [London]
3 LTSI - Laboratoire Traitement du Signal et de l'Image
4 INS - Institut de Neurosciences des Systèmes
5 MRI Unit

For the first time in research in humans, we used simultaneous icEEG-fMRI to examine the link between connectivity in haemodynamic signals during the resting-state (rs) and connectivity derived from electrophysiological activity in terms of the inter-modal connectivity correlation (IMCC). We quantified IMCC in nine patients with drug-resistant epilepsy (i) within brain networks in 'healthy' non-involved cortical zones (NIZ) and (ii) within brain networks involved in generating seizures and interictal spikes (IZ1) or solely spikes (IZ2). Functional connectivity (h (2) ) estimates for 10 min of resting-state data were obtained between each pair of electrodes within each clinical zone for both icEEG and fMRI. A sliding window approach allowed us to quantify the variability over time of h (2) (vh (2)) as an indicator of connectivity dynamics. We observe significant positive IMCC for h (2) and vh (2), for multiple bands in the NIZ only, with the strongest effect in the lower icEEG frequencies. Similarly, intra-modal h (2) and vh (2) were found to be differently modified as a function of different epileptic processes: compared to NIZ, was higher in IZ1, but lower in IZ2, while showed the inverse pattern. This corroborates previous observations of inter-modal connectivity discrepancies in pathological cortices, while providing the first direct invasive and simultaneous comparison in humans. We also studied time-resolved FC variability multimodally for the first time, finding that IZ1 shows both elevated internal and less rich dynamical variability, suggesting that its chronic role in epileptogenesis may be linked to greater homogeneity in self-sustaining pathological oscillatory states.

Keywords: Connectivity; Multimodal imaging; Resting-state; Focal epilepsy; Dynamic connectivity

Domains: Engineering Sciences [physics]; Signal and Image processing; Life Sciences [q-bio]; Bioengineering

Ben Ridley, Jonathan Wirsich, Gaelle Bettus, Roman Rodionov, Teresa Murta, et al.. Simultaneous Intracranial EEG-fMRI Shows Inter-Modality Correlation in Time-Resolved Connectivity Within Normal Areas but Not Within Epileptic Regions. Brain Topography: a Journal of Cerebral Function and Dynamics, 2017, 30 (5), pp.639-655. ⟨10.1007/s10548-017-0551-5⟩. ⟨hal-01617575⟩