Mapping effective connectivity of human amygdala subdivisions with intracranial stimulation

The primate amygdala is a complex consisting of over a dozen nuclei that have been implicated in a host of cognitive functions, individual differences, and psychiatric illnesses. These functions are implemented through distinct connectivity profiles, which have been documented in animals but remain...

Full description

Saved in:
Bibliographic Details
Published inNature communications Vol. 13; no. 1; p. 4909
Main Authors Sawada, Masahiro, Adolphs, Ralph, Dlouhy, Brian J, Jenison, Rick L, Rhone, Ariane E, Kovach, Christopher K, Greenlee, Jeremy D W, Howard Iii, Matthew A, Oya, Hiroyuki
Format Journal Article
LanguageEnglish
Published England Nature Publishing Group 20.08.2022
Nature Publishing Group UK
Nature Portfolio
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The primate amygdala is a complex consisting of over a dozen nuclei that have been implicated in a host of cognitive functions, individual differences, and psychiatric illnesses. These functions are implemented through distinct connectivity profiles, which have been documented in animals but remain largely unknown in humans. Here we present results from 25 neurosurgical patients who had concurrent electrical stimulation of the amygdala with intracranial electroencephalography (electrical stimulation tract-tracing; es-TT), or fMRI (electrical stimulation fMRI; es-fMRI), methods providing strong inferences about effective connectivity of amygdala subdivisions with the rest of the brain. We quantified functional connectivity with medial and lateral amygdala, the temporal order of these connections on the timescale of milliseconds, and also detail second-order effective connectivity among the key nodes. These findings provide a uniquely detailed characterization of human amygdala functional connectivity that will inform functional neuroimaging studies in healthy and clinical populations.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-022-32644-y