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Automatic attention to emotional stimuli: Neural correlates
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We investigated the capability of emotional and nonemotional visual stimulation to capture automatic attention, an aspect of the interaction between cognitive and emotional processes that has received scant attention from researchers. Event-related potentials were recorded from 37 subjects using a 60-electrode array, and were submitted to temporal and spatial principal component analyses to detect and quantify the main components, and to source localization software (LORETA) to determine their spatial origin. Stimuli capturing automatic attention were of three types: emotionally positive, emotionally negative, and nonemotional pictures. Results suggest that initially (P1: 105 msec after stimulus), automatic attention is captured by negative pictures, and not by positive or nonemotional ones. Later (P2: 180 msec), automatic attention remains captured by negative pictures, but also by positive ones. Finally (N2: 240 msec), attention is captured only by positive and nonemotional stimuli. Anatomically, this sequence is characterized by decreasing activation of the visual association cortex (VAC) and by the growing involvement, from dorsal to ventral areas, of the anterior cingulate cortex (ACC). Analyses suggest that the ACC and not the VAC is responsible for experimental effects described above. Intensity, latency, and location of neural activity related to automatic attention thus depend clearly on the stimulus emotional content and on its associated biological importance.
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“Hypervigilance for unpredictable pictures was associated with anxiety and observed during earlier, predominantly obligatory processing (Carretie et al., 2004;Weinberg, & Hajcak, 2010), suggesting limited control.”
From Uncertainty increases neural indices of attention in obsessive-compulsive disorder (2017) · cites this paper as Carretie et al., 2004
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Metadata
- Authors
- Carretié, L., Hinojosa, J. A., Martín‐Loeches, M., Mercado, F., & Tapia, M.
- Affiliations
- Universidad Autónoma de Madrid (ES)
- Universidad Complutense de Madrid (ES)
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2004-06-03
- Volume
- 22
- Issue
- 4
- Pages
- 290-299
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6871850
- OpenAlex
- W2169860125
- Cited by
- 585
- References
- 77
- Citations by year
- 2026: 20 · 2025: 22 · 2024: 31 · 2023: 18 · 2022: 33 · 2021: 39 · 2020: 29 · 2019: 38 · 2018: 34 · 2017: 46 · 2016: 35 · 2015: 47 · 2014: 29 · 2013: 31 · 2012: 32
- FWCI
- 5.04
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministerio de Ciencia y Tecnología of Spain (BSO2002-01980)
- Comunidad de Madrid (06/0091/2002)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- automatic attention, emotional stimuli, attentional capture, event-related potentials, P1 component, P2 component, N2 component, anterior cingulate cortex, visual association cortex, emotional valence, source localization, LORETA
- MeSH terms
- Adult, Attention, Brain Mapping, Electroencephalography, Emotions, Evoked Potentials, Female, Gyrus Cinguli, Humans, Male, Middle Aged, Photic Stimulation, Visual Cortex, Principal Component Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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