Evidence map›Paper›PMID 37265651›Full record

ArticleCognitive neurodynamics2023

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

Xile Wei, Zhuang Yan, Lihui Cai, Meili Lu, Guosheng Yi, Jiang Wang, Yueqing Dong

Open access · greenAbstract read
In one paragraph

Article in Cognitive neurodynamics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Xile WeiSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Zhuang YanSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Lihui CaiSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.ORCID 0000-0002-3466-8573
Meili LuSchool of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin, 300222 China.
Guosheng YiSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Jiang WangSchool of Electrical and Information Engineering, Tianjin University, Tianjin, China.
Yueqing DongXincheng Hospital of Tianjin University, Tianjin, China.
Tianjin University · CNTianjin University of Technology and Education · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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. Supplementary Information: The online version contains supplementary material available at 10.1007/s11571-022-09852-9.

Indexed as

ConsciousDisorder of consciousnessEEGOscillationsTemporal correlations

Identifiers

PMID37265651
PMCPMC10229524
OpenAlexW4288514571

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.