A common neural network differentially mediates direct and social fear learning

Björn Lindström; Jan Haaker; Andreas Olsson

doi:10.1016/j.neuroimage.2017.11.039

A common neural network differentially mediates direct and social fear learning

Standard

A common neural network differentially mediates direct and social fear learning. / Lindström, Björn; Haaker, Jan; Olsson, Andreas.

in: NEUROIMAGE, Jahrgang 167, 15.02.2018, S. 121-129.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Lindström, B, Haaker, J & Olsson, A 2018, 'A common neural network differentially mediates direct and social fear learning', NEUROIMAGE, Jg. 167, S. 121-129. https://doi.org/10.1016/j.neuroimage.2017.11.039

APA

Lindström, B., Haaker, J., & Olsson, A. (2018). A common neural network differentially mediates direct and social fear learning. NEUROIMAGE, 167, 121-129. https://doi.org/10.1016/j.neuroimage.2017.11.039

Vancouver

Lindström B, Haaker J, Olsson A. A common neural network differentially mediates direct and social fear learning. NEUROIMAGE. 2018 Feb 15;167:121-129. https://doi.org/10.1016/j.neuroimage.2017.11.039

Bibtex

@article{ac4c895d202f4554a146f8e5a58cd6c1,

title = "A common neural network differentially mediates direct and social fear learning",

abstract = "Across species, fears often spread between individuals through social learning. Yet, little is known about the neural and computational mechanisms underlying social learning. Addressing this question, we compared social and direct (Pavlovian) fear learning showing that they showed indistinguishable behavioral effects, and involved the same cross-modal (self/other) aversive learning network, centered on the amygdala, the anterior insula (AI), and the anterior cingulate cortex (ACC). Crucially, the information flow within this network differed between social and direct fear learning. Dynamic causal modeling combined with reinforcement learning modeling revealed that the amygdala and AI provided input to this network during direct and social learning, respectively. Furthermore, the AI gated learning signals based on surprise (associability), which were conveyed to the ACC, in both learning modalities. Our findings provide insights into the mechanisms underlying social fear learning, with implications for understanding common psychological dysfunctions, such as phobias and other anxiety disorders.",

keywords = "Journal Article",

author = "Bj{\"o}rn Lindstr{\"o}m and Jan Haaker and Andreas Olsson",

year = "2018",

month = feb,

day = "15",

doi = "10.1016/j.neuroimage.2017.11.039",

language = "English",

volume = "167",

pages = "121--129",

journal = "NEUROIMAGE",

issn = "1053-8119",

publisher = "Academic Press",

}

RIS

TY - JOUR

T1 - A common neural network differentially mediates direct and social fear learning

AU - Lindström, Björn

AU - Haaker, Jan

AU - Olsson, Andreas

PY - 2018/2/15

Y1 - 2018/2/15

N2 - Across species, fears often spread between individuals through social learning. Yet, little is known about the neural and computational mechanisms underlying social learning. Addressing this question, we compared social and direct (Pavlovian) fear learning showing that they showed indistinguishable behavioral effects, and involved the same cross-modal (self/other) aversive learning network, centered on the amygdala, the anterior insula (AI), and the anterior cingulate cortex (ACC). Crucially, the information flow within this network differed between social and direct fear learning. Dynamic causal modeling combined with reinforcement learning modeling revealed that the amygdala and AI provided input to this network during direct and social learning, respectively. Furthermore, the AI gated learning signals based on surprise (associability), which were conveyed to the ACC, in both learning modalities. Our findings provide insights into the mechanisms underlying social fear learning, with implications for understanding common psychological dysfunctions, such as phobias and other anxiety disorders.

AB - Across species, fears often spread between individuals through social learning. Yet, little is known about the neural and computational mechanisms underlying social learning. Addressing this question, we compared social and direct (Pavlovian) fear learning showing that they showed indistinguishable behavioral effects, and involved the same cross-modal (self/other) aversive learning network, centered on the amygdala, the anterior insula (AI), and the anterior cingulate cortex (ACC). Crucially, the information flow within this network differed between social and direct fear learning. Dynamic causal modeling combined with reinforcement learning modeling revealed that the amygdala and AI provided input to this network during direct and social learning, respectively. Furthermore, the AI gated learning signals based on surprise (associability), which were conveyed to the ACC, in both learning modalities. Our findings provide insights into the mechanisms underlying social fear learning, with implications for understanding common psychological dysfunctions, such as phobias and other anxiety disorders.

KW - Journal Article

U2 - 10.1016/j.neuroimage.2017.11.039

DO - 10.1016/j.neuroimage.2017.11.039

M3 - SCORING: Journal article

C2 - 29170069

VL - 167

SP - 121

EP - 129

JO - NEUROIMAGE

JF - NEUROIMAGE

SN - 1053-8119

ER -