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- 1.0576873 - ÚI 2024 RIV NL eng J - Journal Article
Jajcay, Nikola - Hlinka, Jaroslav
Towards a dynamical understanding of microstate analysis of M/EEG data.
Neuroimage. Roč. 281, November 2023 (2023), č. článku 120371. ISSN 1053-8119. E-ISSN 1095-9572
R&D Projects: GA ČR(CZ) GA21-32608S
Grant - others:Ministerstvo školství, mládeže a tělovýchovy - GA MŠk(CZ) LM2018140
Institutional support: RVO:67985807
Keywords : Microstates * M/EEG resting-state * Gaussian model * Microstate properties * VAR model
OECD category: Neurosciences (including psychophysiology
Impact factor: 5.7, year: 2022
Method of publishing: Open access
https://dx.doi.org/10.1016/j.neuroimage.2023.120371
Permanent Link: https://hdl.handle.net/11104/0346275File Download Size Commentary Version Access 0576873-aoa.pdf 9 4.6 MB OA CC BY-NC-ND 4.0 Publisher’s postprint open-access - 2.0478260 - ÚI 2018 GB eng A - Abstract
Hlinka, Jaroslav - Hadrava, Michal
Detecting network states in white noise.
BMC Neuroscience. BioMed Central. Roč. 16, suppl. 1 (2015), P92. ISSN 1471-2202. E-ISSN 1471-2202
R&D Projects: GA ČR GA13-23940S; GA ČR GA13-17187S
Institutional support: RVO:67985807
Keywords : neurodynamics * EEG * connectivity * clustering * microstates
Subject RIV: FH - Neurology
Permanent Link: http://hdl.handle.net/11104/0274548File Download Size Commentary Version Access a0478260.pdf 3 169 KB Publisher’s postprint open-access - 3.0442773 - ÚI 2016 CH eng J - Journal Article
Hlinka, Jaroslav - Hadrava, Michal
On the Danger of Detecting Network States in White Noise.
Frontiers in Computational Neuroscience. Roč. 9, 12 February (2015), č. článku 11. E-ISSN 1662-5188
R&D Projects: GA ČR GA13-23940S; GA ČR GA13-17187S
Institutional support: RVO:67985807
Keywords : EEG * microstates * networks * dynamics * resting-state * nonstationary connectivity * stationarity * white noise
Subject RIV: BB - Applied Statistics, Operational Research
Impact factor: 2.653, year: 2015
Permanent Link: http://hdl.handle.net/11104/0245609File Download Size Commentary Version Access a0442773.pdf 15 3.5 MB Publisher’s postprint require