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Aberrant temporal correlations of ongoing oscillations in disorders of consciousness on multiple time scales.

Authors :
Wei, Xile
Yan, Zhuang
Cai, Lihui
Lu, Meili
Yi, Guosheng
Wang, Jiang
Dong, Yueqing
Source :
Cognitive Neurodynamics; Jun2023, Vol. 17 Issue 3, p633-645, 13p
Publication Year :
2023

Abstract

Changes in neural oscillation amplitude across states of consciousness has been widely reported, but little is known about the link between temporal dynamics of these oscillations on different time scales and consciousness levels. To address this question, we analyzed amplitude fluctuation of the oscillations extracted from spontaneous resting-state EEG recorded from the patients with disorders of consciousness (DOC) and healthy controls. Detrended fluctuation analysis (DFA) and measures of life-time and waiting-time were employed to characterize the temporal structure of EEG oscillations on long time scales (1–20 s) and short time scales (< 1 s), in groups with different consciousness states: patients in minimally conscious state (MCS), patients with unresponsive wakefulness syndrome (UWS) and healthy subjects. Results revealed increased DFA exponents that implies higher long-range temporal correlations (LRTC), especially in the central brain area in alpha and beta bands. On short time scales, declined bursts of oscillations were also observed. All the metrics exhibited lower individual variability in the UWS or MCS group, which may be attributed to the reduced spatial variability of oscillation dynamics. In addition, the temporal dynamics of EEG oscillations showed significant correlations with the behavioral responsiveness of patients. In summary, our findings shows that loss of consciousness is accompanied by alternation of temporal structure in neural oscillations on multiple time scales, and thus may help uncover the mechanism of underlying neuronal correlates of consciousness. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18714080
Volume :
17
Issue :
3
Database :
Complementary Index
Journal :
Cognitive Neurodynamics
Publication Type :
Academic Journal
Accession number :
163988495
Full Text :
https://doi.org/10.1007/s11571-022-09852-9