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Dissociable neural systems for unconditioned acute and sustained fear

Authors :
Matthew Hudson
Kerttu Seppälä
Vesa Putkinen
Lihua Sun
Enrico Glerean
Tomi Karjalainen
Henry K. Karlsson
Jussi Hirvonen
Lauri Nummenmaa
Source :
NeuroImage, Vol 216, Iss , Pp 116522- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Fear protects organisms by increasing vigilance and preparedness, and by coordinating survival responses during life-threatening encounters. The fear circuit must thus operate on multiple timescales ranging from preparatory sustained alertness to acute fight-or-flight responses. Here we studied the brain basis of sustained and acute fear using naturalistic functional magnetic resonance imaging (fMRI) enabling analysis of different time-scales of fear responses. Subjects (N ​= ​37) watched feature-length horror movies while their hemodynamic brain activity was measured with fMRI. Time-variable intersubject correlation (ISC) was used to quantify the reliability of brain activity across participants, and seed-based phase synchronization was used for characterizing dynamic connectivity. Subjective ratings of fear were used to assess how synchronization and functional connectivity varied with emotional intensity. These data suggest that acute and sustained fear are supported by distinct neural pathways, with sustained fear amplifying mainly sensory responses, and acute fear increasing activity in brainstem, thalamus, amygdala and cingulate cortices. Sustained fear increased ISC in regions associated with acute fear, and also amplified functional connectivity within this network. The results were replicated in an independent experiment with a different subject sample and stimulus movie. The functional interplay between cortical networks involved in sustained anticipation of, and acute response to, threat involves a complex and dynamic interaction that depends on the proximity of threat, and the need to employ threat appraisals and vigilance for decision making and response selection.

Details

Language :
English
ISSN :
10959572
Volume :
216
Issue :
116522-
Database :
Directory of Open Access Journals
Journal :
NeuroImage
Publication Type :
Academic Journal
Accession number :
edsdoj.157ac0d8449a412eb8a81eb702384b71
Document Type :
article
Full Text :
https://doi.org/10.1016/j.neuroimage.2020.116522