Evidence map›Paper›PMID 33260944›Full record

ArticleBrain sciences2020

Detecting the Potential for Consciousness in Unresponsive Patients Using the Perturbational Complexity Index.

Dmitry O Sinitsyn, Alexandra G Poydasheva, Ilya S Bakulin, Liudmila A Legostaeva, Elizaveta G Iazeva, Dmitry V Sergeev, Anastasia N Sergeeva, Elena I Kremneva, Sofya N Morozova, Dmitry Yu Lagoda and 5 more

Abstract read
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Covert brain complexity in the intensive care unit.Cortex; a journal devoted to the study of the nervous system and behavior · 2026
    Article
  4. Article
  5. Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Review
  6. Review
  7. Article
  8. Article
  9. Cortical signatures linked to behavior quantitatively track arousal levels.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Clinical diagnostic utility of transcranial magnetic stimulation in neurological disorders. Updated report of an IFCN committee.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Review
  20. 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

15 authors.

Dmitry O SinitsynResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.ORCID 0000-0001-9951-9803
Alexandra G PoydashevaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.ORCID 0000-0003-1841-1177
Ilya S BakulinResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.ORCID 0000-0003-0716-3737
Liudmila A LegostaevaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.ORCID 0000-0001-7778-6687
Elizaveta G IazevaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.ORCID 0000-0003-0382-7719
Dmitry V SergeevResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.ORCID 0000-0002-9130-1292
Anastasia N SergeevaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.
Elena I KremnevaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.ORCID 0000-0001-9396-6063
Sofya N MorozovaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.ORCID 0000-0002-9093-344X
Dmitry Yu LagodaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.
Silvia CasarottoDepartment of Biomedical and Clinical Sciences "L. Sacco", University of Milan, 20157 Milan, Italy.
Angela ComanducciIRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy.
Yulia V RyabinkinaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.
Natalia A SuponevaResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.
Michael A PiradovResearch Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.

Funding

Russian Science Foundation 16-15-00274
6 · The paper itself

Abstract

The difficulties of behavioral evaluation of prolonged disorders of consciousness (DOC) motivate the development of brain-based diagnostic approaches. The perturbational complexity index (PCI), which measures the complexity of electroencephalographic (EEG) responses to transcranial magnetic stimulation (TMS), showed a remarkable sensitivity in detecting minimal signs of consciousness in previous studies. Here, we tested the reliability of PCI in an independently collected sample of 24 severely brain-injured patients, including 11 unresponsive wakefulness syndrome (UWS), 12 minimally conscious state (MCS) patients, and 1 emergence from MCS patient. We found that the individual maximum PCI value across stimulation sites fell within the consciousness range (i.e., was higher than PCI*, which is an empirical cutoff previously validated on a benchmark population) in 11 MCS patients, yielding a sensitivity of 92% that surpassed qualitative evaluation of resting EEG. Most UWS patients (

Indexed as

diagnosisdisorders of consciousnesselectroencephalographyminimally conscious stateperturbational complexity indexreliabilitytranscranial magnetic stimulationunresponsive wakefulness syndrome

Identifiers

PMID33260944
PMCPMC7760168

What OpenQuestion 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 OpenQuestion graph.