Evidence map›Paper›PMID 40097402›Full record

ArticleTranslational psychiatry2025

Predictive neural processing of self-generated hand and tool actions in patients with schizophrenia spectrum disorders and healthy individuals.

Christina V Schmitter, Mareike Pazen, Lukas Uhlmann, Bianca M van Kemenade, Tilo Kircher, Benjamin Straube

Abstract read
In one paragraph

Article in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Christina V Schmitter *Department of Psychiatry and Psychotherapy, University of Marburg, Rudolf-Bultmann-Strasse 8, Marburg, Germany. schmit5l@staff.uni-marburg.de.ORCID http://orcid.org/0000-0002-7520-568X
Mareike Pazen *Department of Psychiatry and Psychotherapy, University of Marburg, Rudolf-Bultmann-Strasse 8, Marburg, Germany.
Lukas UhlmannDepartment of Psychiatry and Psychotherapy, University of Marburg, Rudolf-Bultmann-Strasse 8, Marburg, Germany.
Bianca M van KemenadeCenter for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Hans-Meerwein-Strasse 6, Marburg, Germany.
Tilo KircherDepartment of Psychiatry and Psychotherapy, University of Marburg, Rudolf-Bultmann-Strasse 8, Marburg, Germany.ORCID http://orcid.org/0000-0002-2514-2625
Benjamin StraubeDepartment of Psychiatry and Psychotherapy, University of Marburg, Rudolf-Bultmann-Strasse 8, Marburg, Germany.ORCID http://orcid.org/0000-0002-9837-0944

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) CRC/TRR135, A3 (project number: 222641018)Deutsche Forschungsgemeinschaft (German Research Foundation) STR1146/15-1 (project number: 429442932)Deutsche Forschungsgemeinschaft (German Research Foundation) STR1146/9-2 (project number: 286893149)
6 · The paper itself

Abstract

Schizophrenia spectrum disorders (SSD) have been linked to dysfunctions in the predictive neural suppression of sensory input elicited by one's own actions. Such motor predictions become particularly challenging during tool use and when feedback from multiple sensory modalities is present. In this study, we investigated the neural correlates and potential dysfunctions of action feedback processing in SSD during tool use actions and bimodal sensory feedback presentation. Patients with SSD (N

Indexed as

BrainFeedback, SensoryHandPsychomotor PerformancePsychotic DisordersSchizophreniaAdultBrain MappingCase-Control StudiesCerebellumFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedVisual Perception

Identifiers

PMID40097402
PMCPMC11914148

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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.