Evidence map›Paper›PMID 35277479›Full record

ReviewTranslational psychiatry2022

Neurophysiology in psychosis: The quest for disease biomarkers.

Baihan Wang, Eirini Zartaloudi, Jennifer F Linden, Elvira Bramon

Abstract readReview
In one paragraph

Review in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
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  4. Observational
  5. Review
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  10. Genetic mechanisms for impaired synaptic plasticity in schizophrenia revealed by computational modeling.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  11. Review
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  16. Review
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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

4 authors.

Baihan WangDivision of Psychiatry, University College London, London, UK. baihan.wang.18@ucl.ac.uk.ORCID http://orcid.org/0000-0001-6986-8236
Eirini ZartaloudiDivision of Psychiatry, University College London, London, UK. e.zartaloudi@ucl.ac.uk.
Jennifer F LindenEar Institute, University College London, London, UK.
Elvira BramonDivision of Psychiatry, University College London, London, UK.ORCID http://orcid.org/0000-0003-1369-5983

Funding

Medical Research Council G0901310Medical Research Council G1100583Medical Research Council MR/W020238/1Wellcome TrustWellcome Trust 085475/B/08/ZWellcome Trust 085475/Z/08/Z
6 · The paper itself

Abstract

Psychotic disorders affect 3% of the population at some stage in life, are a leading cause of disability, and impose a great economic burden on society. Major breakthroughs in the genetics of psychosis have not yet been matched by an understanding of its neurobiology. Biomarkers of perception and cognition obtained through non-invasive neurophysiological tools, especially EEG, offer a unique opportunity to gain mechanistic insights. Techniques for measuring neurophysiological markers are inexpensive and ubiquitous, thus having the potential as an accessible tool for patient stratification towards early treatments leading to better outcomes. In this paper, we review the literature on neurophysiological markers for psychosis and their relevant disease mechanisms, mainly covering event-related potentials including P50/N100 sensory gating, mismatch negativity, and the N100 and P300 waveforms. While several neurophysiological deficits are well established in patients with psychosis, more research is needed to study neurophysiological markers in their unaffected relatives and individuals at clinical high risk. We need to harness EEG to investigate markers of disease risk as key steps to elucidate the aetiology of psychosis and facilitate earlier detection and treatment.

Indexed as

Psychotic DisordersBiomarkersCognitionElectroencephalographyEvoked PotentialsEvoked Potentials, AuditoryHumansSensory GatingBiomarkers

Identifiers

PMID35277479
PMCPMC8917164

What OpenQuestion holds

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Registered trials

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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.