Evidence map›Paper›PMID 36146082›Full record

ArticleSensors (Basel, Switzerland)2022

Recognition of Emotion by Brain Connectivity and Eye Movement.

Jing Zhang, Sung Park, Ayoung Cho, Mincheol Whang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. [Dynamic continuous emotion recognition method based on electroencephalography and eye movement signals].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025
    Article
  3. Article
  4. 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

4 authors.

Jing ZhangDepartment of Emotion Engineering, Sangmyung University, Seoul 03016, Korea.ORCID 0000-0002-5230-6285
Sung ParkDepartment of Emotion Engineering, Sangmyung University, Seoul 03016, Korea.ORCID 0000-0002-1242-9264
Ayoung ChoDepartment of Emotion Engineering, Sangmyung University, Seoul 03016, Korea.ORCID 0000-0003-0035-3853
Mincheol WhangDepartment of Human-Centered Artificial Intelligence, Sangmyung University, Seoul 03016, Korea.

Funding

Electronics and Telecommunications Research Institute 22ZS1100Korea Government (MSIT) 2021-0-00986
6 · The paper itself

Abstract

Simultaneous activation of brain regions (i.e., brain connection features) is an essential mechanism of brain activity in emotion recognition of visual content. The occipital cortex of the brain is involved in visual processing, but the frontal lobe processes cranial nerve signals to control higher emotions. However, recognition of emotion in visual content merits the analysis of eye movement features, because the pupils, iris, and other eye structures are connected to the nerves of the brain. We hypothesized that when viewing video content, the activation features of brain connections are significantly related to eye movement characteristics. We investigated the relationship between brain connectivity (strength and directionality) and eye movement features (left and right pupils, saccades, and fixations) when 47 participants viewed an emotion-eliciting video on a two-dimensional emotion model (valence and arousal). We found that the connectivity eigenvalues of the long-distance prefrontal lobe, temporal lobe, parietal lobe, and center are related to cognitive activity involving high valance. In addition, saccade movement was correlated with long-distance occipital-frontal connectivity. Finally, short-distance connectivity results showed emotional fluctuations caused by unconscious stimulation.

Indexed as

Eye MovementsMagnetic Resonance ImagingBrainBrain MappingEmotionsHumansParietal Lobeattentionbrain connectivityemotion recognitioneye movement

Identifiers

PMID36146082
PMCPMC9506310

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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.