An Amygdala-Hippocampus Subnetwork that Encodes Variation in Human Mood

Lowry A Kirkby¹, Francisco J Luongo², Morgan B Lee³, Mor Nahum⁴, Thomas M Van Vleet⁴, Vikram R Rao⁵, Heather E Dawes³, Edward F Chang⁶, Vikaas S Sohal⁷

Affiliations

¹ Department of Psychiatry, University of California, San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Sloan-Swartz Center for Theoretical Neurobiology, University of California, San Francisco, San Francisco, CA 94143, USA.
² Department of Psychiatry, University of California, San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA.
³ Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
⁴ Posit Science, Inc., San Francisco, CA 94111, USA.
⁵ Department of Neurology, University of California, San Francisco, San Francisco, CA 94143, USA.
⁶ Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: edward.chang@ucsf.edu.
⁷ Department of Psychiatry, University of California, San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Sloan-Swartz Center for Theoretical Neurobiology, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: vikaas.sohal@ucsf.edu.

PMID: 30415834
DOI: 10.1016/j.cell.2018.10.005

Free article

Clinical Trial

An Amygdala-Hippocampus Subnetwork that Encodes Variation in Human Mood

Lowry A Kirkby et al. Cell. 2018.

Free article

. 2018 Nov 29;175(6):1688-1700.e14.

doi: 10.1016/j.cell.2018.10.005. Epub 2018 Nov 8.

Authors

Lowry A Kirkby¹, Francisco J Luongo², Morgan B Lee³, Mor Nahum⁴, Thomas M Van Vleet⁴, Vikram R Rao⁵, Heather E Dawes³, Edward F Chang⁶, Vikaas S Sohal⁷

Affiliations

¹ Department of Psychiatry, University of California, San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Sloan-Swartz Center for Theoretical Neurobiology, University of California, San Francisco, San Francisco, CA 94143, USA.
² Department of Psychiatry, University of California, San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA.
³ Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA.
⁴ Posit Science, Inc., San Francisco, CA 94111, USA.
⁵ Department of Neurology, University of California, San Francisco, San Francisco, CA 94143, USA.
⁶ Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: edward.chang@ucsf.edu.
⁷ Department of Psychiatry, University of California, San Francisco, San Francisco, CA 94143, USA; Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA 94143, USA; Sloan-Swartz Center for Theoretical Neurobiology, University of California, San Francisco, San Francisco, CA 94143, USA. Electronic address: vikaas.sohal@ucsf.edu.

PMID: 30415834
DOI: 10.1016/j.cell.2018.10.005

Abstract

Human brain networks that encode variation in mood on naturalistic timescales remain largely unexplored. Here we combine multi-site, semi-chronic, intracranial electroencephalography recordings from the human limbic system with machine learning methods to discover a brain subnetwork that correlates with variation in individual subjects' self-reported mood over days. First we defined the subnetworks that influence intrinsic brain dynamics by identifying regions that showed coordinated changes in spectral coherence. The most common subnetwork, found in 13 of 21 subjects, was characterized by β-frequency coherence (13-30 Hz) between the amygdala and hippocampus. Increased variability of this subnetwork correlated with worsening mood across these 13 subjects. Moreover, these subjects had significantly higher trait anxiety than the 8 of 21 for whom this amygdala-hippocampus subnetwork was absent. These results demonstrate an approach for extracting network-behavior relationships from complex datasets, and they reveal a conserved subnetwork associated with a psychological trait that significantly influences intrinsic brain dynamics and encodes fluctuations in mood.

Keywords: amygdala; brain networks; coherence; hippocampus; human brain; intracranial electroencephalography; machine learning; mood; β-frequency.

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An Amygdala-Hippocampus Subnetwork that Encodes Variation in Human Mood

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An Amygdala-Hippocampus Subnetwork that Encodes Variation in Human Mood

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