Journal
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
Volume 27, Issue 1, Pages -Publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0129065717500010
Keywords
Intracranial EEG; simultaneous icEEG-fMRI; high frequency activity; gamma activity; data quality
Categories
Funding
- European research Area Network Neuron call, SEMAINE project, ANR [ANR-12-NEUR-0006-01]
- Programme Avenir Lyon Saint-Etienne of Universite de Lyon, within the program Investissements d'Avenir, ANR [ANR-11-IDEX-0007]
- LabEx CORTEX, ANR [ANR-11-LABX-0042]
- European Union Seventh Framework Programme (FP7) [604102]
- PHRC (Programme Hospitalier de Recherche Clinique)
- program Investissements d'Avenir [ANR-10-IBHU-0003]
- Agence Nationale de la Recherche (ANR) [ANR-11-LABX-0042] Funding Source: Agence Nationale de la Recherche (ANR)
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Recent studies have shown that it is feasible to record simultaneously intracerebral EEG (icEEG) and functional magnetic resonance imaging (fMRI) in patients with epilepsy. While it has mainly been used to explore the hemodynamic changes associated with epileptic spikes, this approach could also provide new insight into human cognition. However, the first step is to ensure that cognitive EEG components, that have lower amplitudes than epileptic spikes, can be appropriately detected under fMRI. We compared the high frequency activities (HFA, 50-150 Hz) elicited by a reading task in icEEG- only and subsequent icEEG-fMRI in the same patients (n = 3), implanted with depth electrodes. Comparable responses were obtained, with 71% of the recording sites that responded during the icEEG- only session also responding during the icEEG- fMRI session. For all the remaining sites, nearby clusters (distant of 7 mm or less) also demonstrated significant HFA increase during the icEEG- fMRI session. Significant HFA increases were also observable at the single-trial level in icEEG- fMRI recordings. Our results show that low-amplitude icEEG signal components such as cognitive-induced HFAs can be reliably recorded with simultaneous fMRI. This paves the way for the use of icEEG- fMRI to address various fundamental and clinical issues, notably the identification of the neural correlates of the BOLD signal.
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