Evidence map›Paper›PMID 40002604›Full record

ArticleDiagnostics (Basel, Switzerland)2025

A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students.

Flórián Gubics, Ádám Nagy, József Dombi, Antónia Pálfi, Zoltán Szabó, Zsolt János Viharos, Anh Tuan Hoang, Vilmos Bilicki, István Szendi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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
–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

1 citing paper in PubMed.

  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.

Flórián GubicsDepartment of Medical Genetics, Doctoral School of Interdisciplinary Medicine, University of Szeged, 6720 Szeged, Hungary.ORCID 0009-0001-3318-1114
Ádám NagyDepartment of Software Engineering, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0003-3321-004X
József DombiDepartment of Computer Algorithms and Artificial Intelligence, University of Szeged, Árpád Square 2, 6720 Szeged, Hungary.ORCID 0000-0001-9459-912X
Antónia PálfiDepartment of Software Engineering, University of Szeged, 6720 Szeged, Hungary.
Zoltán SzabóDepartment of Software Engineering, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0003-3863-7595
Zsolt János ViharosHUN-REN Institute for Computer Science and Control (SZTAKI), Center of Excellence in Production Informatics and Control, Centre of Excellence of the Hungarian Academy of Sciences (MTA), Kende Street 13-17, H-1111 Budapest, Hungary.ORCID 0000-0002-9561-6857
Anh Tuan HoangHUN-REN Institute for Computer Science and Control (SZTAKI), Center of Excellence in Production Informatics and Control, Centre of Excellence of the Hungarian Academy of Sciences (MTA), Kende Street 13-17, H-1111 Budapest, Hungary.ORCID 0000-0003-4316-0373
Vilmos BilickiDepartment of Software Engineering, University of Szeged, 6720 Szeged, Hungary.ORCID 0000-0002-7793-2661
István SzendiDepartment of Psychiatry, Kiskunhalas Semmelweis Hospital, Dr. Monszpart László Street 1, 6400 Kiskunhalas, Hungary.ORCID 0000-0002-2612-7291

Funding

European Research Council 101120929National Research, Development and Innovation Office TKP2021-NKTA-01National Research, Development and Innovation Office TKP2021-NVA-09
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

analysisbipolar depressionearly detectionpsychologyschizophreniasignal processing

Identifiers

PMID40002604
PMCPMC11854578

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.