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Brain Topogr. 2017 Sep;30(5):639-655. doi: 10.1007/s10548-017-0551-5. Epub 2017 Feb 13.

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

Author information

1
Aix-Marseille Univ, CNRS, CRMBM UMR, 7339, Marseille, France. ben.ridley@univ-amu.fr.
2
APHM, Hôpitaux de la Timone, CEMEREM, Marseille, France. ben.ridley@univ-amu.fr.
3
Aix-Marseille Univ, CNRS, CRMBM UMR, 7339, Marseille, France.
4
APHM, Hôpitaux de la Timone, CEMEREM, Marseille, France.
5
Aix Marseille Univ, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France.
6
Institute of Neurology, University College London (UCL), London, WC1N 3BG, UK.
7
MRI Unit, Epilepsy Society, Buckinghamshire, SL9 0RJ, UK.
8
Institute for Systems and Robotics and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal.
9
Institute of Child Health, UCL, London, WC1E 6BT, UK.
10
EEG and Epilepsy Unit, Neurology Clinic, University Hospitals and Faculty of Medicine of Geneva, 1211, Geneva, Switzerland.
11
Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, WC1N 3BG, London, UK.
12
INSERM, U1099, 35000, Rennes, France.
13
Université de Rennes 1, LTSI, 35000, Rennes, France.
14
Service de Neurophysiologie Clinique, APHM, Hôpitaux de la Timone, Marseille, France.

Abstract

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, [Formula: see text] was higher in IZ1, but lower in IZ2, while [Formula: see text] 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 [Formula: see text] 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; Dynamic connectivity; Focal epilepsy; Multimodal imaging; Resting-state

PMID:
28194612
DOI:
10.1007/s10548-017-0551-5
[Indexed for MEDLINE]

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