Evidence map›Paper›PMID 36522453›Full record

ArticleCommunications biology2022

Neural complexity is a common denominator of human consciousness across diverse regimes of cortical dynamics.

Joel Frohlich, Jeffrey N Chiang, Pedro A M Mediano, Mark Nespeca, Vidya Saravanapandian, Daniel Toker, John Dell'Italia, Joerg F Hipp, Shafali S Jeste, Catherine J Chu and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

14 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Neural complexity is increased after low doses of LSD, but not moderate to high doses of oral THC or methamphetamine.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Trial
  3. Observational
  4. Article
  5. Article
  6. Illuminating consciousness.Frontiers in psychology · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 4 countries.

Joel FrohlichDepartment of Psychology, University of California Los Angeles, 90095, Pritzker Hall, Los Angeles, CA, USA. jfneuro@pm.me.ORCID 0000-0001-8382-4344
Jeffrey N ChiangDepartment of Computational Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Pedro A M MedianoDepartment of Computing, Imperial College London, London, UK.ORCID 0000-0003-1789-5894
Mark NespecaDepartment of Neurosciences, University of California San Diego, San Diego, CA, USA.
Vidya SaravanapandianCenter for Autism Research and Treatment, University of California Los Angeles, Semel Institute for Neuroscience, Los Angeles, CA, USA.
Daniel TokerDepartment of Psychology, University of California Los Angeles, 90095, Pritzker Hall, Los Angeles, CA, USA.
John Dell'ItaliaInstitute for Advanced Consciousness Studies, Santa Monica, CA, USA.
Joerg F HippRoche Pharma Research and Early Development, Neuroscience and Rare Diseases, Roche Innovation Center Basel, Basel, Switzerland.
Shafali S JesteCenter for Autism Research and Treatment, University of California Los Angeles, Semel Institute for Neuroscience, Los Angeles, CA, USA.
Catherine J ChuDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Lynne M BirdDepartment of Pediatrics, University of California San Diego, San Diego, CA, USA.ORCID 0000-0003-4833-3747
Martin M MontiDepartment of Psychology, University of California Los Angeles, 90095, Pritzker Hall, Los Angeles, CA, USA.ORCID 0000-0001-5511-3780
University of California, Los Angeles · USUniversity of California San Diego · USChildren's Hospital of Los Angeles · USHarvard University · USRoche (Switzerland) · CHUniversity of Cambridge · GB

Funding

Training and Career Development ComponentU54HD061222 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI PERCY, ALAN KENNETH · 2009 to 2019
$12.4M
UCLA IDDRC: Translational CoreP50HD103557 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SUSAN Y BOOKHEIMER · 2020 to 2026
$9.6M
RARE DISEASE CRC FOR NEW THERAPIES AND NEW DIAGNOSTICSU54RR019478 · NCRR · BAYLOR COLLEGE OF MEDICINE · PI BEAUDET, ARTHUR L. · 2003 to 2008
$7.3M
UCLA Center for Translational Research in Neurodevelopment: UC-TRaNU54HD087101 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MCCRACKEN, JAMES T. · 2016 to 2020
$6.5M
Focal Thalamocortical Circuit Dysfunction Mediates Motor and Cognitive Deficits in Developmental EpilepsyR01NS115868 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHU, CATHERINE J · 2020 to 2024
$3.4M
Electrophysiological biomarkers of sleep and cognition in Dup15q syndromeR21HD099686 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI JESTE, SHAFALI SPURLING · 2019 to 2020
$410k
NCRR NIH HHS U54 RR019478NICHD NIH HHS P50 HD103557NICHD NIH HHS R21 HD099686NICHD NIH HHS U54 HD061222NICHD NIH HHS U54 HD087101NINDS NIH HHS R01 NS115868
6 · The paper itself

Abstract

What is the common denominator of consciousness across divergent regimes of cortical dynamics? Does consciousness show itself in decibels or in bits? To address these questions, we introduce a testbed for evaluating electroencephalogram (EEG) biomarkers of consciousness using dissociations between neural oscillations and consciousness caused by rare genetic disorders. Children with Angelman syndrome (AS) exhibit sleep-like neural dynamics during wakefulness. Conversely, children with duplication 15q11.2-13.1 syndrome (Dup15q) exhibit wake-like neural dynamics during non-rapid eye movement (NREM) sleep. To identify highly generalizable biomarkers of consciousness, we trained regularized logistic regression classifiers on EEG data from wakefulness and NREM sleep in children with AS using both entropy measures of neural complexity and spectral (i.e., neural oscillatory) EEG features. For each set of features, we then validated these classifiers using EEG from neurotypical (NT) children and abnormal EEGs from children with Dup15q. Our results show that the classification performance of entropy-based EEG biomarkers of conscious state is not upper-bounded by that of spectral EEG features, which are outperformed by entropy features. Entropy-based biomarkers of consciousness may thus be highly adaptable and should be investigated further in situations where spectral EEG features have shown limited success, such as detecting covert consciousness or anesthesia awareness.

Indexed as

ConsciousnessWakefulnessChildElectroencephalographyEntropyHumansSleep

Identifiers

PMID36522453
PMCPMC9755290
OpenAlexW4311927084

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.