Evidence map›Paper›PMID 39509990›Full record

ArticleNeuroImage. Clinical2024

Spectral peak analysis and intrinsic neural timescales as markers for the state of consciousness.

Ezequiel Pablo Espinosa, Di Zang, Andrea Buccellato, Zengxin Qi, Xuehai Wu, Samira Abbasi, Yasir Catal, Stephan Lechner, Federico Zilio, Georg Northoff

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NeuroImage. Clinical, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Ezequiel Pablo EspinosaSchool of Medicine and Surgery, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo, 1 - 20126, Milan, Italy. Electronic address: e.espinosa@campus.unimib.it.
Di ZangDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, China; Department of Neurosurgery, China-Japan Friendship Hospital, Beijing, China. Electronic address: zangdizhbjig@126.com.
Andrea BuccellatoUniversity of Ottawa, The Royal's Institute of Mental Health Research, Brain and Mind Research Institute, Ottawa K1Z 7K4 ON, Canada; Padua Neuroscience Center, University of Padova, 35131, Padova, Italy.
Zengxin QiDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, China.
Xuehai WuDepartment of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China; National Center for Neurological Disorders, Shanghai, China; Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai, China; State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, School of Basic Medical Sciences and Institutes of Brain Science, Fudan University, China.
Samira AbbasiDepartment of Biomedical Engineering, Hamedan University of Technology, Hamedan 65169-13733, Iran.
Yasir CatalUniversity of Ottawa, The Royal's Institute of Mental Health Research, Brain and Mind Research Institute, Ottawa K1Z 7K4 ON, Canada.
Stephan LechnerUniversity of Ottawa, The Royal's Institute of Mental Health Research, Brain and Mind Research Institute, Ottawa K1Z 7K4 ON, Canada; Research Group Neuroinformatics, Faculty of Computer Science, University of Vienna, 1010 Vienna, Austria; Vienna Doctoral School Cognition, Behavior and Neuroscience, University of Vienna, 1030 Vienna, Austria.
Federico ZilioDepartment of Philosophy, Sociology, Education and Applied Psychology, University of Padova, 35139, Padua, Italy.
Georg NorthoffUniversity of Ottawa, The Royal's Institute of Mental Health Research, Brain and Mind Research Institute, Ottawa K1Z 7K4 ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Resting state EEG in patients with disorders of consciousness (DOC) is characterized by an increase of power in the delta frequency band and a concurrent decrease in the alpha range, equivalent to a weakening or disappearance of the alpha peak. Prolongation of Intrinsic Neural Timescales (INTs) is also associated with DOCs. Together, this raises the question whether the decreased alpha peak relates to the prolonged INTs and, importantly, how that can be used for diagnosing the state of consciousness in DOC individuals. Analyzing resting state EEG recordings from both healthy subjects and DOC patients, we measure INTs through autocorrelation window (ACW) and utilize peak analysis to quantify the weakening of the alpha peak. First, we replicate previous findings of prolonged ACW in DOC patients. We then identify significantly lower alpha peak measures in DOC compared to controls. Interestingly, spectral peaks shift from the alpha to the theta range in several DOC subjects while such change is absent in healthy controls. Next, our study reveals a close relationship between ACW and alpha peak in both healthy and DOC subjects, a correlation that holds for theta peaks in DOC. Further, the prolonged ACW correlates with the state of consciousness, as quantified by the Coma Recovery Scale-Revised (CRS-R), and mediates the relationship between theta peak and CRS-R. Finally, through split analyses and machine learning, we show that ACW and alpha peak measures conjointly distinguish healthy controls and DOC patients with high accuracy (95.5%). In conclusion, we demonstrate that the prolongation of ACW, together with spectral peak measures, holds promise to serve as additional EEG biomarkers for diagnosing the state of consciousness in DOC subjects.

Indexed as

ConsciousnessConsciousness DisordersElectroencephalographyAdultAgedAlpha RhythmBrainFemaleHumansMaleMiddle AgedYoung AdultAlpha peakDiagnosisDisorders of consciousnessEEGIntrinsic neural timescales

Identifiers

PMID39509990
PMCPMC11574811

What Socratic holds

Textmetadata
LicenceCC BY
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.