[HTML][HTML] EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review

CM Michel, T Koenig - Neuroimage, 2018 - Elsevier
The present review discusses a well-established method for characterizing resting-state
activity of the human brain using multichannel electroencephalography (EEG). This method …

[HTML][HTML] Thalamus-related anomalies as candidate mechanism-based biomarkers for psychosis

P Steullet - Schizophrenia research, 2020 - Elsevier
Identification of reliable biomarkers of prognosis in subjects with high risk to psychosis is an
essential step to improve care and treatment of this population of help-seekers. Longitudinal …

EEG microstates are a candidate endophenotype for schizophrenia

JR da Cruz, O Favrod, M Roinishvili, E Chkonia… - Nature …, 2020 - nature.com
Electroencephalogram microstates are recurrent scalp potential configurations that remain
stable for around 90 ms. The dynamics of two of the four canonical classes of microstates …

The functional significance of EEG microstates—Associations with modalities of thinking

P Milz, PL Faber, D Lehmann, T Koenig, K Kochi… - Neuroimage, 2016 - Elsevier
The momentary, global functional state of the brain is reflected by its electric field
configuration. Cluster analytical approaches consistently extracted four head-surface brain …

EEG microstate features for schizophrenia classification

K Kim, NT Duc, M Choi, B Lee - PloS one, 2021 - journals.plos.org
Electroencephalography (EEG) microstate analysis is a method wherein spontaneous EEG
activity is segmented at sub-second levels to analyze quasi-stable states. In particular, four …

15 years of microstate research in schizophrenia–where are we? A meta-analysis

K Rieger, L Diaz Hernandez, A Baenninger… - Frontiers in …, 2016 - frontiersin.org
Schizophrenia patients show abnormalities in a broad range of task demands. Therefore, an
explanation common to all these abnormalities has to be sought independently of any …

Automated diagnosis of schizophrenia using EEG microstates and Deep Convolutional Neural Network

E Lillo, M Mora, B Lucero - Expert Systems with Applications, 2022 - Elsevier
Schizophrenia is a chronic and debilitating illness that includes a wide range of emotional,
social, and cognitive disorders associated with impaired performance. It affects more than 21 …

[HTML][HTML] EEG microstates: functional significance and short-term test-retest reliability

E Antonova, M Holding, HC Suen, A Sumich… - Neuroimage …, 2022 - Elsevier
EEG microstates, reflecting discrete topographical organization of the EEG signal power,
may have clinical relevance; however, their functional significance and test-retest reliability …

[HTML][HTML] From swing to cane: sex differences of EEG resting-state temporal patterns during maturation and aging

MI Tomescu, TA Rihs, V Rochas, M Hardmeier… - Developmental cognitive …, 2018 - Elsevier
While many insights on brain development and aging have been gained by studying resting-
state networks with fMRI, relating these changes to cognitive functions is limited by the …

Functional connectivity uniqueness and variability? Linkages with cognitive and psychiatric problems in children

Z Fu, J Liu, MS Salman, J Sui, VD Calhoun - Nature Mental Health, 2023 - nature.com
Brain functional connectivity (FC) derived from functional magnetic resonance imaging has
been serving as a potential 'fingerprint'for adults. However, cross-scan variation of FC can …