Evidence map›Paper›PMID 37045889›Full record

ArticleScientific reports2023

Facial emotion recognition in patients with depression compared to healthy controls when using human avatars.

Marta Monferrer, Arturo S García, Jorge J Ricarte, María J Montes, Antonio Fernández-Caballero, Patricia Fernández-Sotos

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
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  8. Cultural adaptation of the facial emotion perception test for use in Zimbabwe: A pilot study.The South African journal of psychiatry : SAJP : the journal of the Society of Psychiatrists of South Africa · 2025
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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.

Marta MonferrerServicio de Salud de Castilla-La Mancha, Complejo Hospitalario Universitario de Albacete, Servicio de Salud Mental, 02004, Albacete, Spain.
Arturo S GarcíaDepartmento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071, Albacete, Spain.
Jorge J RicarteDepartmento de Psicología, Universidad de Castilla-La Mancha, 02071, Albacete, Spain.
María J MontesServicio de Salud de Castilla-La Mancha, Complejo Hospitalario Universitario de Albacete, Servicio de Salud Mental, 02004, Albacete, Spain.
Antonio Fernández-CaballeroDepartmento de Sistemas Informáticos, Universidad de Castilla-La Mancha, 02071, Albacete, Spain.
Patricia Fernández-SotosServicio de Salud de Castilla-La Mancha, Complejo Hospitalario Universitario de Albacete, Servicio de Salud Mental, 02004, Albacete, Spain. pfsotos@sescam.jccm.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The negative, mood-congruent cognitive bias described in depression, as well as excessive rumination, have been found to interfere with emotional processing. This study focuses on the assessment of facial recognition of emotions in patients with depression through a new set of dynamic virtual faces (DVFs). The sample consisted of 54 stable patients compared to 54 healthy controls. The experiment consisted in an emotion recognition task using non-immersive virtual reality (VR) with DVFs of six basic emotions and neutral expression. Patients with depression showed a worst performance in facial affect recognition compared to healthy controls. Age of onset was negatively correlated with emotion recognition and no correlation was observed for duration of illness or number of lifetime hospitalizations. There was no correlation for the depression group between emotion recognition and degree of psychopathology, excessive rumination, degree of functioning, or quality of life. Hence, it is important to improve and validate VR tools for emotion recognition to achieve greater methodological homogeneity of studies and to be able to establish more conclusive results.

Indexed as

DepressionFacial RecognitionEmotionsFacial ExpressionHumansQuality of Life

Identifiers

PMID37045889
PMCPMC10097677

What OpenQuestion holds

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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.