Temporal dynamics of affective scene processing in the healthy adult human brain
- PMID: 39755291
- PMCID: PMC11810608
- DOI: 10.1016/j.neubiorev.2025.106003
Temporal dynamics of affective scene processing in the healthy adult human brain
Abstract
Understanding how the brain distinguishes emotional from neutral scenes is crucial for advancing brain-computer interfaces, enabling real-time emotion detection for faster, more effective responses, and improving treatments for emotional disorders like depression and anxiety. However, inconsistent research findings have arisen from differences in study settings, such as variations in the time windows, brain regions, and emotion categories examined across studies. This review sought to compile the existing literature on the timing at which the adult brain differentiates basic affective from neutral scenes in less than one second, as previous studies have consistently shown that the brain can begin recognizing emotions within just a few milliseconds. The review includes studies that used electroencephalography (EEG) or magnetoencephalography (MEG) in healthy adults to examine brain responses to emotional versus neutral images within one second. Articles of interest were limited to the English language but not to any publication year. Excluded studies involved only patients (of any diagnosis), participants under age 18 (since emotional processing can differ between adults and younger individuals), non-passive tasks, low temporal resolution techniques, time intervals over one second, and animals. Of the 3045 screened articles, 19 met these criteria. Despite the variations between studies, the earliest onset for heightened brain responses to basic affective scenes compared to neutral ones was most commonly observed within the 250-300 ms time window. To the best of our knowledge, this review is the first to synthesize data on the timing of brain differentiation between emotional and neutral scenes in healthy adults.
Keywords: Affective pictures; EEG; Emotion differentiation/discrimination/classification; MEG; Pleasant; Temporal dynamics; Unpleasant.
Published by Elsevier Ltd.
Conflict of interest statement
Declaration of Competing Interest Dr. Zarate is listed as a co-inventor on a patent for the use of ketamine in major depression and suicidal ideation; as a co-inventor on a patent for the use of (2 R,6 R)-hydroxynorketamine, (S)-dehydronorketamine, and other stereoisomeric dehydroxylated and hydroxylated metabolites of (R,S)-ketamine metabolites in the treatment of depression and neuropathic pain; and as a co-inventor on a patent application for the use of (2 R,6 R)-hydroxynorketamine and (2S,6S)-hydroxynorketamine in the treatment of depression, anxiety, anhedonia, suicidal ideation, and post-traumatic stress disorders. He has assigned his patent rights to the U.S. government but will share a percentage of any royalties that may be received by the government. Dr. Price is the named inventor on a University of Pittsburgh-owned patent filing related to a novel combination intervention. All other authors have no conflict of interest to disclose, financial or otherwise.
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References
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- Abadi MK, Subramanian R, Kia SM, Avesani P, Patras I, Sebe N, 2015. DECAF: MEG-based multimodal database for decoding affective physiological responses. IEEE Trans Affect Comput 6, 209–222.
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