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Title Authors PubMed ID
1 Mechanochemistry for Metal-Organic Frameworks and Covalent-Organic Frameworks (MOFs, COFs): Methods, Materials, and Mechanisms Marrett JM; Effaty F; Ottenwaelder X; Frišcic T; 40708349
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2 Revealing the Freezing-Induced Alteration in Microplastic Behavior and Its Implication for the Microplastics Released from Seasonal Ice Chen Z; Elektorowicz M; An C; Tian X; Wang Z; Yang X; Lyu L; 39031076
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3 Surviving chlorinated waters: bleaching sensitivity and persistence of free-living amoebae Zahid MT; Mustafa G; Sajid R; Razzaq A; Waheed M; Khan MA; Hwang JH; Park YK; Chung WJ; Jeon BH; 39017868
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4 Who Should Decide How Machines Make Morally Laden Decisions? Dominic Martin 27905083
JMSB
5 Non-invasive paper-based sensors containing rare-earth-doped nanoparticles for the detection of D-glucose López-Peña G; Ortiz-Mansilla E; Arranz A; Bogdan N; Manso-Silván M; Martín Rodríguez E; 38729020
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6 Spending Money in Free-to-Play Games: Sociodemographic Characteristics, Motives, Impulsivity and Internet Gaming Disorder Specificities Costes JM; Bonnaire C; 36497782
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7 A Synthetic Biosensor for Detecting Putrescine in Beef Samples Selim AS; Perry JM; Nasr MA; Pimprikar JM; Shih SCC; 36356104
BIOLOGY
8 Cold region data accessibility portal for Québec (CRDAP-QC): An integrated, multi-variable and multi-scale data repository for studying cold-region hydrological processes in Québec Nazemi A; Jiwa S; Hatami S; 35637887
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9 Neural evidence for age-related deficits in the representation of state spaces Ruel A; Bolenz F; Li SC; Fischer A; Eppinger B; 35510942
PERFORM
10 A Proposed Multi-Criteria Optimization Approach to Enhance Clinical Outcomes Evaluation for Diabetes Care: A Commentary Wan TTH; Matthews S; Luh H; Zeng Y; Wang Z; Yang L; 35372638
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11 Structure-Based Virtual Screening Reveals Ibrutinib and Zanubrutinib as Potential Repurposed Drugs against COVID-19 Kaliamurthi S; Selvaraj G; Selvaraj C; Singh SK; Wei DQ; Peslherbe GH; 34209188
CHEMBIOCHEM
12 Late-spring frost risk between 1959 and 2017 decreased in North America but increased in Europe and Asia. Zohner CM, Mo L, Renner SS, Svenning JC, Vitasse Y, Benito BM, Ordonez A, Baumgarten F, Bastin JF, Sebald V, Reich PB, Liang J, Nabuurs GJ, de-Miguel S, Alberti G, Antón-Fernández C, Balazy R, Brändli UB, Chen HYH, Chisholm C, Cienciala E, Dayanandan S, Fayle TM, Frizzera L, Gianelle D, Jagodzinski AM, Jaroszewicz B, Jucker T, Kepfer-Rojas S, Khan ML, Kim HS, Korjus H, Johannsen VK, Laarmann D, Lang M, Zawila-Niedzwiecki T, Niklaus PA, Paquette A, Pretzsch H, Saikia P, Schall P, Šeben V, Svoboda M, Tikhonova E, Viana H, Zhang C, Zhao X, Crowther TW 32393624
BIOLOGY
13 Drude polarizable force field for cation-π interactions of alkali and quaternary ammonium ions with aromatic amino acid side chains Orabi EA; Davis RL; Lamoureux G; 31652004
CERMM
14 Metacontrol of decision-making strategies in human aging. Bolenz F, Kool W, Reiter AM, Eppinger B 31397670
PERFORM
15 Start-up of oxygen-limited autotrophic partial nitrification-anammox process for treatment of nitrite-free wastewater in a single-stage hybrid bioreactor. Hosseinpour B, Saborimanesh N, Yerushalmi L, Walsh D, Mulligan CN 31378146
CSFG
16 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
17 Proteomic Analysis of Morphologically Changed Tissues after Prolonged Dexamethasone Treatment Malkawi AK; Masood A; Shinwari Z; Jacob M; Benabdelkamel H; Matic G; Almuhanna F; Dasouki M; Alaiya AA; Rahman AMA; 31247941
CHEMBIOCHEM
18 Ideal despotic distributions in convict cichlids (Amatitlania nigrofasciata)? Effects of predation risk and personality on habitat preference. Church KDW, Grant JWA 30529688
BIOLOGY

 

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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