Evidence map›Paper›PMID 35931307›Full record

ArticleNeuroImage2022

Decoding the temporal dynamics of affective scene processing.

Ke Bo, Lihan Cui, Siyang Yin, Zhenhong Hu, Xiangfei Hong, Sungkean Kim, Andreas Keil, Mingzhou Ding

Abstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  12. Stimulus Repetition Induces a Two-Stage Learning Process in the Primary Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 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

8 authors.

Ke BoJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA; Department of Psychological and Brain Sciences, Dartmouth college, Hanover, NH 03755, USA.
Lihan CuiJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
Siyang YinJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
Zhenhong HuJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
Xiangfei HongJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China.
Sungkean KimJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA; Department of Human-Computer Interaction, Hanyang University, Ansan, Republic of Korea.
Andreas KeilDepartment of Psychology, University of Florida, Gainesville, FL 32611, USA.
Mingzhou DingJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA. Electronic address: mding@bme.ufl.edu.

Funding

MyAPS: Development and Validation of an AI Platform for Generating Emotional PicturesR01MH112558 · NIMH · UNIVERSITY OF FLORIDA · PI MINGZHOU DING, Ruogu Fang · 2017 to 2026
$2.5M
Ding R01 Administrative SupplementR01MH125615 · NIMH · UNIVERSITY OF FLORIDA · PI DING, MINGZHOU, KEIL, ANDREAS · 2021 to 2025
$2.5M
NIMH NIH HHS R01 MH112558NIMH NIH HHS R01 MH125615
6 · The paper itself

Abstract

Natural images containing affective scenes are used extensively to investigate the neural mechanisms of visual emotion processing. Functional fMRI studies have shown that these images activate a large-scale distributed brain network that encompasses areas in visual, temporal, and frontal cortices. The underlying spatial and temporal dynamics, however, remain to be better characterized. We recorded simultaneous EEG-fMRI data while participants passively viewed affective images from the International Affective Picture System (IAPS). Applying multivariate pattern analysis to decode EEG data, and representational similarity analysis to fuse EEG data with simultaneously recorded fMRI data, we found that: (1) ∼80 ms after picture onset, perceptual processing of complex visual scenes began in early visual cortex, proceeding to ventral visual cortex at ∼100 ms, (2) between ∼200 and ∼300 ms (pleasant pictures: ∼200 ms; unpleasant pictures: ∼260 ms), affect-specific neural representations began to form, supported mainly by areas in occipital and temporal cortices, and (3) affect-specific neural representations were stable, lasting up to ∼2 s, and exhibited temporally generalizable activity patterns. These results suggest that affective scene representations in the brain are formed temporally in a valence-dependent manner and may be sustained by recurrent neural interactions among distributed brain areas.

Indexed as

Brain MappingVisual CortexBrainHumansMagnetic Resonance ImagingPattern Recognition, VisualPhotic StimulationVisual PerceptionEEGEmotion, affective scenesfMRIIAPSMultivariate pattern analysisRepresentation similarity analysisVisual cortex

Identifiers

PMID35931307
PMCPMC10245384

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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.