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Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

Isotta Rigoni, J. Rué Queralt, Katharina Glomb, Maria Giulia Preti, Nicolas Roehri, Sébastien Tourbier, Laurent Spinelli, Margitta Seeck, Dimitri Van De Ville, Patric Hagmann, Serge Vulliémoz

2023Clinical Neurophysiology12 citationsDOIOpen Access PDF

Abstract

OBJECTIVE: Structure-function coupling remains largely unknown in brain disorders. We studied this coupling during interictal epileptic discharges (IEDs), using graph signal processing in temporal lobe epilepsy (TLE). METHODS: We decomposed IEDs of 17 patients on spatial maps, i.e. network harmonics, extracted from a structural connectome. Harmonics were split in smooth maps (long-range interactions reflecting integration) and coarse maps (short-range interactions reflecting segregation) and were used to reconstruct the part of the signal coupled (Xc) and decoupled (Xd) from the structure, respectively. We analysed how Xc and Xd embed the IED energy over time, at global and regional level. RESULTS: For Xc, the energy was smaller than for Xd before the IED onset (p < .001), but became larger around the first IED peak (p < .05, cluster 2, C2). Locally, the ipsilateral mesial regions were significantly coupled to the structure over the whole epoch. The ipsilateral hippocampus increased its coupling during C2 (p < .01). CONCLUSIONS: At whole-brain level, segregation gives way to integrative processes during the IED. Locally, brain regions commonly involved in the TLE epileptogenic network increase their reliance on long-range couplings during IED (C2). SIGNIFICANCE: In TLE, integration mechanisms prevail during the IED and are localized in the ipsilateral mesial temporal regions.

Topics & Concepts

IctalNeuroscienceTemporal lobeConnectomeEpilepsyCoupling (piping)PhysicsSIGNAL (programming language)HippocampusPsychologyComputer scienceFunctional connectivityMaterials scienceProgramming languageMetallurgyFunctional Brain Connectivity StudiesNeural dynamics and brain functionEEG and Brain-Computer Interfaces