Deficits of entropy modulation in schizophrenia are predicted by functional connectivity strength in the theta band and structural clustering

NeuroImage. Clinical
Javier Gomez-PilarVicente Molina

Abstract

Spectral entropy (SE) allows comparing task-related modulation of electroencephalogram (EEG) between patients and controls, i.e. spectral changes of the EEG associated to task performance. A SE modulation deficit has been replicated in different schizophrenia samples. To investigate the underpinnings of SE modulation deficits in schizophrenia, we applied graph-theory to EEG recordings during a P300 task and fractional anisotropy (FA) data from diffusion tensor imaging in 48 patients (23 first episodes) and 87 healthy controls. Functional connectivity was assessed from phase-locking values among sensors in the theta band, and structural connectivity was based on FA values for the tracts connecting pairs of regions. From those data, averaged clustering coefficient (CLC), characteristic path-length (PL) and connectivity strength (CS, also known as density) were calculated for both functional and structural networks. The corresponding functional modulation values were calculated as the difference in SE and CLC, PL and CS between the pre-stimulus and response windows during the task. The results revealed a higher functional CS in the pre-stimulus window in patients, predictive of smaller modulation of SE in this group. The amount of...Continue Reading

Citations

Jul 3, 2020·Schizophrenia Bulletin·Georg NorthoffJosef Parnas
Dec 12, 2020·Schizophrenia Bulletin·Georg Northoff, Javier Gomez-Pilar
May 18, 2020·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Mark HallettPaolo M Rossini
Nov 23, 2020·Schizophrenia Research·Inés Fernández-LinsenbarthVicente Molina
Nov 11, 2021·Brain and Behavior·Inés Fernández-LinsenbarthVicente Molina

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Methods Mentioned

BETA
PCA

Software Mentioned

CLC MOD
FAST
ACT
PL
DTIFIT
FSL
MRTRIX
EEG
BET
PL MOD

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