Individual human brain areas can be identified from their characteristic spectral activation fingerprints

Keitel, A. and Gross, J. (2016) Individual human brain areas can be identified from their characteristic spectral activation fingerprints. PLoS Biology, 14(6), e1002498. (doi: 10.1371/journal.pbio.1002498) (PMID:27355236) (PMCID:PMC4927181)

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The human brain can be parcellated into diverse anatomical areas. We investigated whether rhythmic brain activity in these areas is characteristic and can be used for automatic classification. To this end, resting-state MEG data of 22 healthy adults was analysed. Power spectra of 1-s long data segments for atlas-defined brain areas were clustered into spectral profiles (“fingerprints”), using k-means and Gaussian mixture (GM) modelling. We demonstrate that individual areas can be identified from these spectral profiles with high accuracy. Our results suggest that each brain area engages in different spectral modes that are characteristic for individual areas. Clustering of brain areas according to similarity of spectral profiles reveals well-known brain networks. Furthermore, we demonstrate task-specific modulations of auditory spectral profiles during auditory processing. These findings have important implications for the classification of regional spectral activity and allow for novel approaches in neuroimaging and neurostimulation in health and disease.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Keitel, Dr Anne and Gross, Professor Joachim
Authors: Keitel, A., and Gross, J.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
Journal Name:PLoS Biology
Publisher:Public Library of Science
ISSN (Online):1545-7885
Copyright Holders:Copyright © 2016 Keitel, Gross
First Published:First published in PLoS Biology 14(6):e1002498
Publisher Policy:Reproduced under a Creative Commons License

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
597051Natural and modulated neural communication: State-dependent decoding and driving of human Brain Oscillations.Joachim GrossWellcome Trust (WELLCOME)098433/Z/12/ZINP - CENTRE FOR COGNITIVE NEUROIMAGING
658701Pathways and mechanisms underlying the visual enhancement of hearing in challenging environments.Christoph KayserBiotechnology and Biological Sciences Research Council (BBSRC)BB/L027534/1INP - CENTRE FOR COGNITIVE NEUROIMAGING