Evidence map›Paper›PMID 32386113›Full record

ArticleHuman brain mapping2020

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

Katherine S F Damme, Lauren B Alloy, Christina B Young, Nicholas J Kelley, Jason Chein, Tommy H Ng, Madison K Titone, Chelsea L Black, Robin Nusslock

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Katherine S F DammeDepartment of Psychology, Northwestern University, Evanston, Illinois, USA.ORCID 0000-0003-4260-1528
Lauren B AlloyDepartment of Psychology, Temple University, Philadelphia, Pennsylvania, USA.
Christina B YoungDepartment of Psychology, Northwestern University, Evanston, Illinois, USA.
Nicholas J KelleyDepartment of Psychology, Northwestern University, Evanston, Illinois, USA.
Jason CheinDepartment of Psychology, Temple University, Philadelphia, Pennsylvania, USA.
Tommy H NgDepartment of Psychology, Temple University, Philadelphia, Pennsylvania, USA.
Madison K TitoneDepartment of Psychology, Temple University, Philadelphia, Pennsylvania, USA.
Chelsea L BlackDepartment of Psychology, Temple University, Philadelphia, Pennsylvania, USA.
Robin NusslockDepartment of Psychology, Northwestern University, Evanston, Illinois, USA.
Northwestern University · USTemple University · USStanford Medicine · US

Funding

Risk for Bipolar Disorder: Reward-related Brain Function & Social RhythmsR01MH077908 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ALLOY, LAUREN BERSH · 2007 to 2017
$5.7M
TRAINING PROGRAM IN THE NEUROSCIENCE OF HUMAN COGNITIONT32NS047987 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Rodrigo M Braga, Christina Maria Zelano · 2006 to 2026
$5.6M
Symptom Dimension of Threat- and Reward-Related NeurocircuitryR01MH100117 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BOOKHEIMER, SUSAN Y, CRASKE, MICHELLE G · 2014 to 2018
$3.8M
Social and Circadian Rhythms, Reward Sensitivity, and Risk for Bipolar DisorderR01MH102310 · NIMH · TEMPLE UNIV OF THE COMMONWEALTH · PI ALLOY, LAUREN BERSH · 2014 to 2017
$1.6M
NIMH NIH HHS R01 MH077908NIMH NIH HHS R01 MH100117NIMH NIH HHS R01 MH102310NINDS NIH HHS T32 NS047987
6 · The paper itself

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.

Indexed as

AdultAmygdalaBipolar DisorderDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingRiskYoung Adultamygdalabipolar disorderdiffusion-based subsegmentationgray matter volumehigh-risk designmorphometry

Identifiers

PMID32386113
PMCPMC7375099
OpenAlexW3023644019

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.