Evidence map›Paper›PMID 37185319›Full record

ArticleJournal of psychiatry & neuroscience : JPN

Chaos analysis of the cortical boundary for the recognition of psychosis.

Alexandra I Korda, Christina Andreou, Mihai Avram, Marina Frisman, Mariya Aliqadri, Anita Riecher-Rössler, Heinz Handels, Thomas Martinetz, Stefan Borgwardt

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of psychiatry & neuroscience : JPN. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 3 countries.

Alexandra I KordaFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz) alexandra.korda@uksh.de.
Christina AndreouFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz).
Mihai AvramFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz).
Marina FrismanFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz).
Mariya AliqadriFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz).
Anita Riecher-RösslerFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz).
Heinz HandelsFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz).
Thomas MartinetzFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz).
Stefan BorgwardtFrom the Department of Psychiatry and Psychotherapy, Translational Psychiatry, University of Luebeck, Germany (Korda, Andreou, Avram, Frisman, Borgwardt); the Department of Applied Natural Sciences, Biomedical Engineering, Technical University of Luebeck (Aliqadri); the Medical Faculty, University of Basel, Switzerland (Riecher-Rössler); the Institute of Medical Informatics, University of Luebeck, Germany (Handels); the Institute for Neuro- and Bioinformatics, University of Luebeck, Germany (Martinetz).
Applied Natural Sciences · USUniversity of Basel · CHUniversity of Lübeck · DESocial Neuroscience Lab · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStructural MRI studies in people with first-episode psychosis (FEP) and those in the clinical high-risk (CHR) state have consistently shown volumetric abnormalities that depict changes in the structural complexity of the cortical boundary. The aim of the present study was to employ chaos analysis in the identification of people with psychosis based on the structural complexity of the cortical boundary and subcortical areas.

methodsWe performed chaos analysis of the grey matter distribution on structural MRIs. First, the outer boundary points for each slice in the axial, coronal and sagittal view were calculated for grey matter maps. Next, the distance of each boundary point from the centre of mass in the grey matter was calculated and stored as spatial series, which was further analyzed by extracting the Largest Lyapunov Exponent (lambda [λ]), a feature depicting the structural complexity of the cortical boundary.

resultsStructural MRIs were acquired from 77 FEP, 73 CHR and 44 healthy controls. We compared λ brain maps between groups, which resulted in statistically significant differences in all comparisons. By matching the λ values extracted in axial view with the Morlet wavelet, differences on the surface relief are observed between groups. LIMITATIONS: Parameters were selected after experimentation on the examined sample. Investigation of the effectiveness of the method in a larger data set is needed.

conclusionThe proposed framework using spatial series verifies diagnosis-relevant features and may contribute to the identification of structural biomarkers for psychosis.

Indexed as

Psychotic DisordersBrainGray MatterHumansMagnetic Resonance ImagingRecognition, Psychology

Identifiers

PMID37185319
PMCPMC10139064
OpenAlexW4366985025

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.