Differential neural decoding of alarm and avoidance information from vocal alarm calls in humans

Many animals and humans use scream calls to signal imminent threats, which typically evoke alarm and escape responses in recipients. Compared to animals, human scream calls are more diversified with varying levels of alarm signaling. Certain low-alarm human screams thus might not elicit full neural alarm cascades and threat avoidance actions. Here we investigated the neural circuits for decoding alarm and avoid-approach information from positive and negative scream calls in humans. Alarm and avoid-approach decisions showed minimal neural overlap, with alarm decisions recruiting neural cascades of sensory-affective decoding for action preparation, whereas avoid-approach judgments recruited neural systems for spatio-affective decoding for social decision-making. Furthermore, decision patterns revealed both an alarm quotient and an avoid quotient for risk arbitration, which linked the likelihood of an urgent response (alarm, avoid) to a slowing of choosing a potential safe option in response to scream calls. While the avoid quotient positively predicted neural activity in a broad cortico-limbic network, the alarm quotient predicted neural suppression with increasing alarm levels, especially in the amygdala as part of a presumed limbic alarm system. This points to a critical involvement of the amygdala at neural levels of choice arbitrations rather than in threat evaluations signaled by screams.

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Publication Details

Journal
Communications Biology
Published
2025-05-27
DOI
https://doi.org/10.1038/s42003-025-08248-9
Citations
2
Primary Topic
Multisensory perception and integration
Type
article
Field-Weighted Citation Impact
4.24

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article

Differential neural decoding of alarm and avoidance information from vocal alarm calls in humans

Sascha Frühholz, Christine L. Skjegstad, Gard K. Beinnes
2 citations
Communications Biology
Multisensory perception and integration
4.24
article

Differential neural decoding of alarm and avoidance information from vocal alarm calls in humans

Sascha Frühholz, Christine L. Skjegstad, Gard K. Beinnes
article en
2 citations

Abstract

Many animals and humans use scream calls to signal imminent threats, which typically evoke alarm and escape responses in recipients. Compared to animals, human scream calls are more diversified with varying levels of alarm signaling. Certain low-alarm human screams thus might not elicit full neural alarm cascades and threat avoidance actions. Here we investigated the neural circuits for decoding alarm and avoid-approach information from positive and negative scream calls in humans. Alarm and avoid-approach decisions showed minimal neural overlap, with alarm decisions recruiting neural cascades of sensory-affective decoding for action preparation, whereas avoid-approach judgments recruited neural systems for spatio-affective decoding for social decision-making. Furthermore, decision patterns revealed both an alarm quotient and an avoid quotient for risk arbitration, which linked the likelihood of an urgent response (alarm, avoid) to a slowing of choosing a potential safe option in response to scream calls. While the avoid quotient positively predicted neural activity in a broad cortico-limbic network, the alarm quotient predicted neural suppression with increasing alarm levels, especially in the amygdala as part of a presumed limbic alarm system. This points to a critical involvement of the amygdala at neural levels of choice arbitrations rather than in threat evaluations signaled by screams.

Communications BiologyVol. 8(1)
University of Oslo (NO), University of Zurich (CH)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 7%
Multisensory perception and integration
4.24
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Differential neural decoding of alarm and avoidance information from vocal alarm calls in humans — Sascha Frühholz, Christine L. Skjegstad, et al. · Communications Biology (2025) | TGRS Research Map | TGRS