RT Journal Article
T1 Resting-state connectivity and network parameter analysis in alcohol-dependent males. A simultaneous EEG-MEG study
A1 Sion, Ana Mª Alexandra
A1 Bruña Fernández, Ricardo
A1 Martínez Maldonado, Andrés
A1 Domínguez Centeno, Isabel
A1 Torrado-Carvajal, Ángel
A1 Rubio Valladolid, Gabriel
A1 Pereda, Ernesto
A1 Jurado Barba, Rosa
AB There is supporting evidence of alcohol negative effects on the brain: neuroimaging and psychophysiological studies finding anatomical and functional connectivity (FC) changes associated with the dependence process. Thus, the aim of this work was to evaluate brain FC and network characteristics of alcohol-dependent individuals in resting state. For this study, we included males diagnosed with alcohol dependence (N = 25) and a group of healthy individuals (N = 23). Simultaneous EEG-MEG (electroencephalographic and magnetoencephalographic) activity was recorded in 5 min of eyes-closed resting state. EEG-MEG activity was preprocessed and FC was computed through the leakage-corrected version of phase locking value (ciPLV). Additionally, local (degree, efficiency, clustering) and global (efficiency, characteristic path length) network parameters were computed. Connectivity analysis showed an increase in phase-lagged synchronization, mainly between frontal and frontotemporal regions, in high beta band, and a decrease in interhemispheric gamma, for alcohol-dependent individuals. Network analysis revealed intergroup differences at the local level for high beta, indicating higher degree, clustering, and efficiency, mostly at frontal nodes, together with a decrease in these measures at more posterior sites for patients’ group. The hyper-synchronization in beta, next to the hypo-synchronization in gamma, could indicate an alteration in communication between hemispheres, but also a possible functional compensation mechanism in neural circuits. This could be also supported by network characteristic data, where local alterations in communication are observed.
PB Wiley
SN 0360-4012
YR 2020
FD 2020
LK https://hdl.handle.net/20.500.14352/100311
UL https://hdl.handle.net/20.500.14352/100311
LA eng
NO Resting-state connectivity and network parameter analysis in alcohol-dependent males. A simultaneous EEG-MEG study Ana Sion,  Ricardo Bruña Fernández,  Andrés Martínez Maldonado,  Isabel Domínguez Centeno,  Angel Torrado-Carvajal,  Gabriel Rubio,  Ernesto Pereda,  Rosa Jurado-Barba
NO Ministerio de Economía y Competitividad (España)
NO Ministerio de Educación, Cultura y Deporte (España)
NO Universidad Complutense de Madrid
NO Instituto de Salud Carlos III
DS Docta Complutense
RD 10 abr 2025