Evidence map›Paper›PMID 39622800›Full record

ArticleSchizophrenia (Heidelberg, Germany)2024

Approximating the semantic space: word embedding techniques in psychiatric speech analysis.

Claudio Palominos, Rui He, Karla Fröhlich, Rieke Roxanne Mülfarth, Svenja Seuffert, Iris E Sommer, Philipp Homan, Tilo Kircher, Frederike Stein, Wolfram Hinzen

Abstract read
In one paragraph

Article in Schizophrenia (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  7. Article
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  9. Article
  10. A single composite index of semantic behavior tracks symptoms of psychosis over time.medRxiv : the preprint server for health sciences · 2025
    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

10 authors.

Claudio PalominosDepartment of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain. claudio.palominos@upf.edu.ORCID http://orcid.org/0009-0009-3297-0865
Rui HeDepartment of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain.ORCID http://orcid.org/0000-0001-6999-1920
Karla FröhlichDepartment of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
Rieke Roxanne MülfarthDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Svenja SeuffertDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Iris E SommerDepartment of Neuroscience, University Medical Center Groningen, Antoni Deusinglaan 2, room 117 Groningen, Groningen, Netherlands.
Philipp HomanDepartment of Adult Psychiatry and Psychotherapy, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-9034-148X
Tilo KircherDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Frederike SteinDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Wolfram HinzenDepartment of Translation & Language Sciences, Universitat Pompeu Fabra, Barcelona, Spain.

Funding

European Commission (EC) 101080251
6 · The paper itself

Abstract

Large language models provide high-dimensional representations (embeddings) of word meaning, which allow quantifying changes in the geometry of the semantic space in mental disorders. A pattern of a more condensed ('shrinking') semantic space marked by an increase in mean semantic similarity between words has been recently documented in psychosis across several languages. We aimed to explore this pattern further in picture descriptions provided by a transdiagnostic German sample of patients with schizophrenia spectrum disorders (SSD) (n = 42), major depression (MDD, n = 43), and healthy controls (n = 44). Compared to controls, both clinical groups showed more restricted dynamic navigational patterns as captured by the time series of semantic distances crossed, while also showing differential patterns in the total distances and trajectories navigated. These findings demonstrate alterations centred on the dynamics of the flow of meaning across the semantic space in SSD and MDD, preserving previous indications towards a shrinking semantic space in both cases.

Identifiers

PMID39622800
PMCPMC11612388

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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.