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| Hauptseite > Publikationsdatenbank > Dynamics of EEG Microstates Change Across the Spectrum of Disorders of Consciousness > print |
| Hauptseite > Publikationsdatenbank > Dynamics of EEG Microstates Change Across the Spectrum of Disorders of Consciousness > print |
| 001 | 1034747 | ||
| 005 | 20250203103358.0 | ||
| 024 | 7 | _ | |a 10.1101/2024.05.30.596582 |2 doi |
| 024 | 7 | _ | |a 10.34734/FZJ-2024-07504 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2024-07504 |
| 100 | 1 | _ | |a Manasova, Dragana |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Dynamics of EEG Microstates Change Across the Spectrum of Disorders of Consciousness |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |a Preprint |b preprint |m preprint |0 PUB:(DE-HGF)25 |s 1736245051_26237 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a WORKING_PAPER |2 ORCID |
| 336 | 7 | _ | |a Electronic Article |0 28 |2 EndNote |
| 336 | 7 | _ | |a preprint |2 DRIVER |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a Output Types/Working Paper |2 DataCite |
| 520 | _ | _ | |a As a response to the environment and internal signals, brain networks reorganize on asub-second scale. To capture this reorganization in patients with disorders ofconsciousness and understand their residual brain activity, we investigated thedynamics of electroencephalography (EEG) microstates. We analyze EEG microstatemarkers to quantify the periods of semi-stable topographies and the large-scalecortical networks they may reflect. To achieve this, EEG samples are clustered intofour groups and then fit back into each time sample. We then obtain a time series ofmaps with different frequencies of occurrence and duration. One such occurrence of amap with a given duration is called a microstate. The goal of this work is to study thedynamics of these topographical patterns across patients with disorders ofconsciousness. Using the microstate time series, we calculate static and dynamicmarkers. In contrast to the static, the dynamic metrics depend on the specific temporalsequences of the maps. The static measure Ratio of Total Time covered (RTT) showsdifferences between healthy controls and patients, however, no differences wereobserved between the groups of patients. In contrast, some dynamic markers captureinter-patient group differences. The dynamic markers we investigated are MeanMicrostate Durations (MMD), Microstate Duration Variances (MDV), MicrostateTransition Matrices (MTM), and Entropy Production (EP). The MMD and MDVdecrease with the state of consciousness, whereas the MTM non-diagonal transitionsand EP increase. In other words, DoC patients have slower and closer to equilibrium(time-reversible) brain dynamics. In conclusion, static and dynamic EEG microstatemetrics differ across consciousness levels, with the latter capturing the subtitlerdifferences between groups of patients with disorders of consciousness. |
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| 700 | 1 | _ | |a Sanz Perl, Yonatan |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Bruno, Nicolas Marcelo |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Valente, Melanie |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Rohaut, Benjamin |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Tagliazucchi, Enzo |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Naccache, Lionel |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Raimondo, Federico |0 P:(DE-Juel1)185083 |b 7 |
| 700 | 1 | _ | |a Sitt, Jacobo D. |0 P:(DE-HGF)0 |b 8 |e Corresponding author |
| 773 | _ | _ | |a 10.1101/2024.05.30.596582 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1034747/files/Manasova%20et%20al.%20-%202024%20-%20Dynamics%20of%20EEG%20Microstates%20Change%20Across%20the%20Spec.pdf |y OpenAccess |
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| 910 | 1 | _ | |a Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, Paris 75013, France |0 I:(DE-HGF)0 |b 8 |6 P:(DE-HGF)0 |
| 910 | 1 | _ | |a jacobo.sitt@icm-institute.org |0 I:(DE-HGF)0 |b 8 |6 P:(DE-HGF)0 |
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| 914 | 1 | _ | |y 2024 |
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