Decoding the temporal dynamics of affective scene processing
Copyright © 2022. Published by Elsevier Inc..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:261 |
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| Enthalten in: |
NeuroImage - 261(2022) vom: 01. Nov., Seite 119532 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Bo, Ke [VerfasserIn] |
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| Links: |
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| Themen: |
EEG |
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| Anmerkungen: |
Date Completed 23.08.2022 Date Revised 08.06.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.neuroimage.2022.119532 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| 500 | |a published: Print-Electronic | ||
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| 520 | |a Copyright © 2022. Published by Elsevier Inc. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a EEG | |
| 650 | 4 | |a Emotion, affective scenes | |
| 650 | 4 | |a IAPS | |
| 650 | 4 | |a Multivariate pattern analysis | |
| 650 | 4 | |a Representation similarity analysis | |
| 650 | 4 | |a Visual cortex | |
| 650 | 4 | |a fMRI | |
| 700 | 1 | |a Cui, Lihan |e verfasserin |4 aut | |
| 700 | 1 | |a Yin, Siyang |e verfasserin |4 aut | |
| 700 | 1 | |a Hu, Zhenhong |e verfasserin |4 aut | |
| 700 | 1 | |a Hong, Xiangfei |e verfasserin |4 aut | |
| 700 | 1 | |a Kim, Sungkean |e verfasserin |4 aut | |
| 700 | 1 | |a Keil, Andreas |e verfasserin |4 aut | |
| 700 | 1 | |a Ding, Mingzhou |e verfasserin |4 aut | |
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