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Amygdala subnuclei volume in bipolar spectrum disorders: Insights from diffusion-based subsegmentation and a high-risk design

Amygdala subnuclei volume in bipolar spectrum disorders: Insights from diffusion-based subsegmentation and a high-risk design
Amygdala subnuclei volume in bipolar spectrum disorders: Insights from diffusion-based subsegmentation and a high-risk design

Amygdala abnormalities are widely documented in bipolar spectrum disorders (BSD). Amygdala volume typically is measured after BSD onset; thus, it is not known whether amygdala abnormalities predict BSD risk or relate to the disorder. Additionally, past literature often treated the amygdala as a homogeneous structure, and did not consider its distinct subnuclei and their differential connectivity to other brain regions. To address these issues, we used a behavioral high-risk design and diffusion-based subsegmentation to examine amygdala subnuclei among medication-free individuals with, and at risk for, BSD. The behavioral high-risk design (N = 114) included low-risk (N = 37), high-risk (N = 47), and BSD groups (N = 30). Diffusion-based subsegmentation of the amygdala was conducted to determine whether amygdala volume differences related to particular subnuclei. Individuals with a BSD diagnosis showed greater whole, bilateral amygdala volume compared to Low-Risk individuals. Examination of subnuclei revealed that the BSD group had larger volumes compared to the High-Risk group in both the left medial and central subnuclei, and showed larger volume in the right lateral subnucleus compared to the Low-Risk group. Within the BSD group, specific amygdala subnuclei volumes related to time since first episode onset and number of lifetime episodes. Taken together, whole amygdala volume analyses replicated past findings of enlargement in BSD, but did not detect abnormalities in the high-risk group. Examination of subnuclei volumes detected differences in volume between the high-risk and BSD groups that were missed in the whole amygdala volume. Results have implications for understanding amygdala abnormalities among individuals with, and at risk for, a BSD.

amygdala, bipolar disorder, diffusion-based subsegmentation, gray matter volume, high-risk design, morphometry
1065-9471
3358-3369
Damme, Katherine S.F.
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Alloy, Lauren B.
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Young, Christina B.
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Kelley, Nicholas J.
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Chein, Jason
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Ng, Tommy H.
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Titone, Madison K.
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Black, Chelsea L.
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Nusslock, Robin
e254120f-5efa-4ab7-81c6-5f85d510aaee
Damme, Katherine S.F.
861265eb-2c6b-47b8-a0ef-130eda36045a
Alloy, Lauren B.
631d7ffc-d11e-4b7f-8a16-9718ae9bdc98
Young, Christina B.
a6100c8d-836c-4308-a566-2f8b01c29dd0
Kelley, Nicholas J.
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Chein, Jason
4add727a-2487-4890-a81d-2dafe7a7a261
Ng, Tommy H.
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Titone, Madison K.
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Black, Chelsea L.
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Nusslock, Robin
e254120f-5efa-4ab7-81c6-5f85d510aaee

Damme, Katherine S.F., Alloy, Lauren B., Young, Christina B., Kelley, Nicholas J., Chein, Jason, Ng, Tommy H., Titone, Madison K., Black, Chelsea L. and Nusslock, Robin (2020) Amygdala subnuclei volume in bipolar spectrum disorders: Insights from diffusion-based subsegmentation and a high-risk design. Human Brain Mapping, 41 (12), 3358-3369. (doi:10.1002/hbm.25021).

Record type: Article

Abstract

Amygdala abnormalities are widely documented in bipolar spectrum disorders (BSD). Amygdala volume typically is measured after BSD onset; thus, it is not known whether amygdala abnormalities predict BSD risk or relate to the disorder. Additionally, past literature often treated the amygdala as a homogeneous structure, and did not consider its distinct subnuclei and their differential connectivity to other brain regions. To address these issues, we used a behavioral high-risk design and diffusion-based subsegmentation to examine amygdala subnuclei among medication-free individuals with, and at risk for, BSD. The behavioral high-risk design (N = 114) included low-risk (N = 37), high-risk (N = 47), and BSD groups (N = 30). Diffusion-based subsegmentation of the amygdala was conducted to determine whether amygdala volume differences related to particular subnuclei. Individuals with a BSD diagnosis showed greater whole, bilateral amygdala volume compared to Low-Risk individuals. Examination of subnuclei revealed that the BSD group had larger volumes compared to the High-Risk group in both the left medial and central subnuclei, and showed larger volume in the right lateral subnucleus compared to the Low-Risk group. Within the BSD group, specific amygdala subnuclei volumes related to time since first episode onset and number of lifetime episodes. Taken together, whole amygdala volume analyses replicated past findings of enlargement in BSD, but did not detect abnormalities in the high-risk group. Examination of subnuclei volumes detected differences in volume between the high-risk and BSD groups that were missed in the whole amygdala volume. Results have implications for understanding amygdala abnormalities among individuals with, and at risk for, a BSD.

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Published date: 15 August 2020
Additional Information: Funding Information: This project was supported by National Institute of Mental Health grants (R01 MH077908 and R01 MH102310) to L. B. A. The National Institute of Mental Health (T32NS047987) supported the work of K. S. D for this project. Support for R. N. comes from the National Institute of Mental Health (R01 MH100117 and R01 MH077908), the Ryan Licht Sang Bipolar Foundation, and the Chauncey and Marion D. McCormick Family. We would like to thank Michael Weston, Wan Kwok, Laura Padilla, Virginia Hoch, and Ajay Nadig for their assistance on quality assurance on segmentation label accuracy. Publisher Copyright: © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
Keywords: amygdala, bipolar disorder, diffusion-based subsegmentation, gray matter volume, high-risk design, morphometry

Identifiers

Local EPrints ID: 447934
URI: http://eprints.soton.ac.uk/id/eprint/447934
ISSN: 1065-9471
PURE UUID: 295541b2-11eb-4b39-8c43-beaca93cfb2f
ORCID for Nicholas J. Kelley: ORCID iD orcid.org/0000-0003-2256-0597

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Date deposited: 26 Mar 2021 17:31
Last modified: 18 Mar 2024 03:52

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Contributors

Author: Katherine S.F. Damme
Author: Lauren B. Alloy
Author: Christina B. Young
Author: Jason Chein
Author: Tommy H. Ng
Author: Madison K. Titone
Author: Chelsea L. Black
Author: Robin Nusslock

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