Evidence map›Paper›PMID 34518921›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2022

Cortical morphology and illness insight in patients with schizophrenia.

Marie-Luise Otte, Mike M Schmitgen, Katharina M Kubera, Nadine D Wolf, Stefan Fritze, Lena S Geiger, Heike Tost, Ulrich W Seidl, Andreas Meyer-Lindenberg, Dusan Hirjak and 1 more

Abstract read
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Review
  8. Article
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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

11 authors.

Marie-Luise OtteDepartment of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany.
Mike M SchmitgenDepartment of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany.
Katharina M KuberaDepartment of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany.
Nadine D WolfDepartment of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany.
Stefan FritzeDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Lena S GeigerDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Heike TostDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Ulrich W SeidlDepartment of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany.
Andreas Meyer-LindenbergDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Dusan Hirjak *Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Robert C Wolf *Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115, Heidelberg, Germany. christian.wolf@med.uni-heidelberg.de.ORCID http://orcid.org/0000-0002-5358-5212

Funding

Bundesministerium für Bildung und Forschung 01GQ1102Deutsche Forschungsgemeinschaft HI 1928/2-1Deutsche Forschungsgemeinschaft WO 1883/15-1Deutsche Forschungsgemeinschaft WO 1883/6-1
6 · The paper itself

Abstract

Insight into illness in schizophrenia (SZ) patients has a major impact on treatment adherence and outcome. Previous studies have linked distinct deviations of brain structure to illness insight, specifically in frontoparietal and subcortical regions. Some of these abnormalities are thought to reflect aberrant cortical development. In this study, we used cross-sectional data to examine associations between illness insight and two cortical surface markers that are known to follow distinct neurodevelopmental trajectories, i.e. cortical gyrification (CG) and thickness (CT). CG and CT was investigated in SZ patients (n = 82) and healthy controls (HC, n = 48) using 3 T structural magnetic resonance imaging. Illness insight in SZ patients was measured using the OSSTI scale, an instrument that provides information on two distinct dimensions of illness insight, i.e. treatment adherence (OSSTI-A) and identification of disease-related symptoms (OSSTI-I). CT and CG were computed using the Computational Anatomy Toolbox (CAT12). Whole-brain and regions-of-interest (ROI)-based analyses were performed. SZ patients showed higher CG in anterior cingulate, superior frontal and temporal gyrus and reduced CG in insular and superior frontal cortex when compared to HC. SZ patients showed decreased CT in pre- and paracentral, occipital, cingulate, frontoparietal and temporal regions. Illness insight in SZ patients was significantly associated with both CG and CT in the left inferior parietal lobule (OSSTI-A) and the right precentral gyrus (CG/OSSTI-A, CT/OSSTI-I). The data support a multi-parametric neuronal model with both pre- and postnatal brain developmental factors having an impact on illness insight in patients with SZ.

Indexed as

SchizophreniaBrainCerebral CortexCross-Sectional StudiesHumansMagnetic Resonance ImagingTemporal LobeCortical thicknessGyrificationInsightMRISchizophreniaSurface-based morphometry

Identifiers

PMID34518921
PMCPMC9388450

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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.