Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study.
Biophysical model
EEG
MEG
Power-law spectrum
Scale-free dynamics
Journal
Journal of computational neuroscience
ISSN: 1573-6873
Titre abrégé: J Comput Neurosci
Pays: United States
ID NLM: 9439510
Informations de publication
Date de publication:
08 2019
08 2019
Historique:
received:
18
07
2018
accepted:
26
06
2019
revised:
11
06
2019
pubmed:
12
7
2019
medline:
26
6
2020
entrez:
12
7
2019
Statut:
ppublish
Résumé
Electrophysiological signals (electroencephalography, EEG, and magnetoencephalography, MEG), as many natural processes, exhibit scale-invariance properties resulting in a power-law (1/f) spectrum. Interestingly, EEG and MEG differ in their slopes, which could be explained by several mechanisms, including non-resistive properties of tissues. Our goal in the present study is to estimate the impact of space/frequency structure of source signals as a putative mechanism to explain spectral scaling properties of neuroimaging signals. We performed simulations based on the summed contribution of cortical patches with different sizes (ranging from 0.4 to 104.2 cm
Identifiants
pubmed: 31292816
doi: 10.1007/s10827-019-00721-9
pii: 10.1007/s10827-019-00721-9
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
31-41Références
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