Evidence map›Paper›PMID 38293050›Full record

ArticlebioRxiv : the preprint server for biology2024

Disruption of consciousness depends on insight in OCD and on positive symptoms in schizophrenia.

Selim Tumkaya, Bengü Yücens, Muhammet Gündüz, Maxime Maheu, Lucie Berkovitch

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Selim TumkayaDepartment of Psychiatry, Pamukkale University School of Medicine, Denizli, Turkey.
Bengü YücensDepartment of Psychiatry, Pamukkale University School of Medicine, Denizli, Turkey.
Muhammet GündüzDepartment of Psychiatry, Government Hospital of Bolvadin, Bolvadin, Turkey.
Maxime MaheuDepartment of Neurophysiology and Pathophysiology, Center for Experimental Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-6851-4927
Lucie BerkovitchDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, United States.

Funding

A Translational and Neurocomputational Evaluation of a D1R Partial Agonist for SchizophreniaU01MH121766 · NIMH · YALE UNIVERSITY · PI KRYSTAL, JOHN H. · 2019 to 2022
$11.8M
Brain Network Changes Accompanying and Predicting Responses to Pharmacotherapy in OCDR01MH116038 · NIMH · YALE UNIVERSITY · PI ANTICEVIC, ALAN, PITTENGER, CHRISTOPHER JOHN · 2019 to 2023
$3.7M
NIMH NIH HHS R01 MH116038NIMH NIH HHS U01 MH121766
6 · The paper itself

Abstract

Disruption of conscious access contributes to the advent of psychotic symptoms in schizophrenia but could also explain lack of insight in other psychiatric disorders. In this study, we explored how insight and psychotic symptoms related to disruption of consciousness. We explored consciousness in patients with schizophrenia, patients with obsessive-compulsive disorder (OCD) with good vs. poor insight and matched controls. Participants underwent clinical assessments and performed a visual masking task allowing us to measure individual consciousness threshold. We used a principal component analysis to reduce symptom dimensionality and explored how consciousness measures related to symptomatology. We found that clinical dimensions could be well summarized by a restricted set of principal components which also correlated with the extent of consciousness disruption. More specifically, positive symptoms were associated with impaired conscious access in patients with schizophrenia whereas the level of insight delineated two subtypes of OCD patients, those with poor insight who had consciousness impairments similar to patients with schizophrenia, and those with good insight who resemble healthy controls. Our study provides new insights about consciousness disruption in psychiatric disorders, showing that it relates to positive symptoms in schizophrenia and with insight in OCD. In OCD, it revealed a distinct subgroup sharing neuropathological features with schizophrenia. Our findings refine the mapping between symptoms and cognition, paving the way for a better treatment selection.

Indexed as

cognitive neuroscienceconsciousnessinsightobsessive-compulsive disorderschizophreniavisual masking

Identifiers

PMID38293050
PMCPMC10827121

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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.