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"law" Keyword-tagged Publications:

Title Authors PubMed ID
1 Lignin phenol abundances and ratios are modulated by their interactions with iron hydroxides in sediments Moritz A; Ezzati M; Gélinas Y; 41500137
CHEMBIOCHEM
2 A systematic analysis of disability inclusion in domestic climate policies Jodoin S; Bowie-Edwards A; Lofts K; Mangat S; Adjei B; Lesnikowski A; 40046455
CONCORDIA
3 Violence, Misrecognition, and Place: Legal Envelopment and Colonial Governmentality in the Upper Skeena River, British Columbia, 1888 Matthew P Unger 38726046
SOCANTH
4 Criminal Code reform of HIV non-disclosure is urgently needed: Social science perspectives on the harms of HIV criminalization in Canada Hastings C; French M; McClelland A; Mykhalovskiy E; Adam B; Bisaillon L; Bogosavljevic K; Gagnon M; Greene S; Guta A; Hindmarch S; Kaida A; Kilty J; Massaquoi N; Namaste V; O' Byrne P; Orsini M; Patterson S; Sanders C; Symington A; Wilson C; 38087186
PSYCHOLOGY
5 New Megastigmane and Polyphenolic Components of Henna Leaves and Their Tumor-Specific Cytotoxicity on Human Oral Squamous Carcinoma Cell Lines Orabi MAA; Orabi EA; Awadh AAA; Alshahrani MM; Abdel-Wahab BA; Sakagami H; Hatano T; 38001804
CHEMBIOCHEM
6 Winter's Topography, Law, and the Colonial Legal Imaginary in British Columbia Matthew P Unger 37885918
CONCORDIA
7 Structural determination and anticholinesterase assay of C-glycosidic ellagitannins from Lawsonia inermis leaves: A study supported by DFT calculations and molecular docking Orabi MAA; Orabi EA; Abdel-Sattar ES; English AM; Hatano T; Elimam H; 36423882
CHEMBIOCHEM
8 Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study. Bénar CG, Grova C, Jirsa VK, Lina JM 31292816
PERFORM

 

Title:Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study.
Authors:Bénar CGGrova CJirsa VKLina JM
Link:https://www.ncbi.nlm.nih.gov/pubmed/31292816?dopt=Abstract
DOI:10.1007/s10827-019-00721-9
Publication:Journal of computational neuroscience
Keywords:Biophysical modelEEGMEGPower-law spectrumScale-free dynamics
PMID:31292816 Category:J Comput Neurosci Date Added:2019-08-07
Dept Affiliation: PERFORM
1 Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France. christian.benar@univ-amu.fr.
2 PERFORM Centre and Physics Department, Concordia University, Montreal, QC, Canada.
3 Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada.
4 Multimodal Functional Imaging Laboratory, Biomedical Engineering Department, McGill University, Montreal, QC, Canada.
5 Centre de Recherches Mathématiques, Montreal, QC, Canada.
6 Aix Marseille Univ, INSERM, INS, Inst Neurosci Syst, Marseille, France.
7 Département de Génie Électrique, École de Technologie Supérieure, Montreal, QC, Canada.
8 Centre d'Etudes Avancées en Médecine du Sommeil, Hôpital Sacré Cœur, Montreal, QC, Canada.

Description:

Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study.

J Comput Neurosci. 2019 Jul 11;:

Authors: Bénar CG, Grova C, Jirsa VK, Lina JM

Abstract

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 cm2). Small patches were attributed signals of high frequencies, whereas large patches were associated with signals of low frequencies, on a logarithmic scale. The tested parameters included i) the space/frequency structure (range of patch sizes and frequencies) and ii) the amplitude factor c parametrizing the spatial scale ratios. We found that the space/frequency structure may cause differences between EEG and MEG scale-free spectra that are compatible with real data findings reported in previous studies. We also found that below a certain spatial scale, there were no more differences between EEG and MEG, suggesting a limit for the resolution of both methods.Our work provides an explanation of experimental findings. This does not rule out other mechanisms for differences between EEG and MEG, but suggests an important role of spatio-temporal structure of neural dynamics. This can help the analysis and interpretation of power-law measures in EEG and MEG, and we believe our results can also impact computational modeling of brain dynamics, where different local connectivity structures could be used at different frequencies.

PMID: 31292816 [PubMed - as supplied by publisher]





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