Evidence map›Paper›PMID 36806586›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2023

Structure/function interrelationships and illness insight in patients with schizophrenia: a multimodal MRI data fusion study.

Marie-Luise Otte, Mike M Schmitgen, Nadine D Wolf, Katharina M Kubera, Vince D Calhoun, Stefan Fritze, Lena S Geiger, Heike Tost, Ulrich W Seidl, Andreas Meyer-Lindenberg and 2 more

Abstract read
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

12 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.
Nadine D WolfDepartment 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.
Vince D CalhounTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
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, Research Group Systems Neuroscience in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Heike TostDepartment of Psychiatry and Psychotherapy, Research Group Systems Neuroscience in Psychiatry, 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 Christian 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

Male/Female differences in psychosis and mood disorders:Dynamic imaging-genomic models for characterizing and predicting psychosis and mood dR01MH118695 · NIMH · GEORGIA STATE UNIVERSITY · PI ADALI, TULAY, CALHOUN, VINCE D · 2019 to 2023
$3.8M
NIMH NIH HHS R01 MH118695
6 · The paper itself

Abstract

Illness insight in schizophrenia (SZ) has an important impact on treatment outcome, integration into society and can vary over the course of the disorder. To deal with and treat reduced or absent illness insight, we need to better understand its functional and structural correlates. Previous studies showed regionally abnormal brain volume in brain areas related to cognitive control and self-reference. However, little is known about associations between illness insight and structural and functional network strength in patients with SZ. This study employed a cross-sectional design to examine structural and functional differences between patients with SZ (n = 74) and healthy controls (n = 47) using structural and resting-state functional magnetic resonance imaging (MRI). Voxel-based morphometry was performed on structural data, and the amplitude of low frequency fluctuations (ALFF) was calculated for functional data. To investigate abnormal structure/function interrelationships and their association with illness insight, we used parallel independent component analysis (pICA). Significant group (SZ vs. HC) differences were detected in distinct structural and functional networks, predominantly comprising frontoparietal, temporal and cerebellar regions. Significant associations were found between illness insight and two distinct structural networks comprising frontoparietal (pre- and postcentral gyrus, inferior parietal lobule, thalamus, and precuneus) and posterior cortical regions (cuneus, precuneus, lingual, posterior cingulate, and middle occipital gyrus). Finally, we found a significant relationship between illness insight and functional network comprising temporal regions (superior temporal gyrus). This study suggests that aberrant structural and functional integrity of neural systems subserving cognitive control, memory and self-reference are tightly coupled to illness insight in SZ.

Indexed as

SchizophreniaBrainBrain MappingCross-Sectional StudiesHumansMagnetic Resonance ImagingBrain functionBrain structureIllness insightMRIParallel ICASchizophrenia

Identifiers

PMID36806586
PMCPMC10713778

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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.