Evidence map›Paper›PMID 41159311›Full record

Observational studyCNS neuroscience & therapeutics2025

More Fixations in Static Facial Regions During Emotion Recognition Among TLE Patients With Severe Depression.

Haojun Yang, Qiong Zhang, Kailing Huang, Li Feng

Abstract readObservational Study
In one paragraph

Observational study in CNS neuroscience & therapeutics, 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

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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

1 citing paper in PubMed.

  1. Observational
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

4 authors.

Haojun YangDepartment of Anesthesiology, Xiangya Hospital of Central South University, Changsha, China.ORCID 0000-0002-4410-3234
Qiong ZhangNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
Kailing HuangNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0002-7666-9558
Li FengNational Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.ORCID 0000-0001-7658-1399

Funding

National Key Research and Development Program of China 2022YFC2503804National Natural Science Foundation of China 82071461National Natural Science Foundation of China 82271503National Natural Science Foundation of China 82571656Natural Science Foundation of Hunan Province 2024JJ6695
6 · The paper itself

Abstract

aimTo explore the emotion recognition (ER) abilities among temporal lobe epilepsy (TLE) patients with different levels of depression.

methodsThis observational study was conducted during December 2021 and November 2022, including 71 healthy controls (HCs) and 93 TLE patients. Based on the scores of the Beck Depression Index, the patients were divided into four groups (no/mild/moderate/severe depression). All participants finished the Faux pas task (FPT), watched the dynamic facial expression task and recognized the emotion (anger, disgust, happiness, or sadness) with the recording of eye movements. The accuracy of ER was recorded. The percentage of fixation in interested areas (IA) and fixation counts in IA were selected and analyzed.

resultsTLE patients without depression had significantly lower FPT scores (p = 0.001) and accuracy ratios of dynamic facial ER (p = 0.039) than HCs. Patients with severe depression had significantly more fixation percentages and fixation counts in the nose than patients with no/mild/moderate depression (p < 0.05).

conclusionThe recording of eye movement provides more accurate and objective biobehavioral indicators for distinguishing TLE patients with severe depression, which has great practical significance for early monitoring and intervention.

Indexed as

DepressionEmotionsEpilepsy, Temporal LobeFacial ExpressionFacial RecognitionFixation, OcularAdultFemaleHumansMaleMiddle AgedYoung Adultdepressionemotion recognitioneye‐trackingtemporal lobe epilepsy

Identifiers

PMID41159311
PMCPMC12569610

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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.