Evidence map›Paper›PMID 41984534›Full record

ArticleJournal of behavioral addictions2026

From attentional bias to neural dysfunction: Multimodal evidence for emotion processing deficits in individuals with problematic social media use.

Shuai Wang, Chaomin Guo, Tingfeng Yu, Keji Wang, Qiong Wei, Yi He

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shuai Wang1School of Psychology, Chengdu Medical College, Chengdu, China.ORCID https://orcid.org/0000-0003-4672-3055
Chaomin Guo1School of Psychology, Chengdu Medical College, Chengdu, China.ORCID https://orcid.org/0009-0000-4145-7662
Tingfeng Yu1School of Psychology, Chengdu Medical College, Chengdu, China.ORCID https://orcid.org/0009-0000-2542-342X
Keji Wang1School of Psychology, Chengdu Medical College, Chengdu, China.ORCID https://orcid.org/0009-0002-6057-464X
Qiong Wei1School of Psychology, Chengdu Medical College, Chengdu, China.ORCID https://orcid.org/0009-0006-1401-8027
Yi He5Jian Medicine, Chengdu, China.ORCID https://orcid.org/0009-0005-9014-1142

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Problematic social media use (PMSMU) shows strong mental health associations, yet its neurocognitive mechanisms remain unclear. This study investigates emotion processing deficits in PMSMU, focusing on valence-specific attentional biases and neural dysfunction. Methods: 113 Chinese college students stratified into low-risk (n = 55) and high-risk PMSMU (n = 58) groups completed psychological assessments and an emotion recognition task using facial stimuli depicting the seven basic emotions selected from the Chinese Facial Affective Picture System (CFAPS) during simultaneous eye-tracking and fNIRS recording prefrontal-temporal activation. Results: High-risk PMSMU showed enhanced accuracy for joy emotion (82.58% vs. 74.31%, p = 0.013) but impaired negative emotion recognition (64.29% vs. 69.87%, p = 0.006). Eye-tracking revealed reduced nose-root fixation and increased mouth and the middle of nose attention. fNIRS identified negative-emotion-specific hyperactivation in right temporal (c1, p = 0.017) and left frontal lobes (c9, p = 0.021). Temporal activation correlated with slower sadness recognition (r = 0.345), while attention deficits linked to reduced fear accuracy (r = -0.261) and temporal hyperactivity (r = 0.377). High-risk subjects reported poorer psychosocial functioning (poorer interpersonal skills, attentional control, and higher levels of anxiety and depression, p < 0.001), with frontal activation moderating negative-emotion-impairment relationships. Conclusion: PMSMU is characterized by valence-specific disruptions-including attentional bias toward positive cues, impaired fear processing, and prefrontal-temporal hyperactivation during negative emotion decoding-that collectively define it as a neurobehavioral condition leading to psychosocial impairment.

Indexed as

Attentional BiasEmotionsFacial RecognitionInternet Addiction DisorderPrefrontal CortexSocial MediaTemporal LobeAdolescentAdultEye-Tracking TechnologyFemaleFunctional NeuroimagingHumansMaleSpectroscopy, Near-InfraredYoung Adultattentional biasemotion processing deficitsproblematic social media use

Identifiers

PMID41984534
PMCPMC13371732

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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.