Evidence map›Paper›PMID 41457178›Full record

ArticleMolecular psychiatry2026

Structural covariance, regional topology, and volumetric aspects of amygdala subnuclei in posttraumatic stress disorder using ultra-high field imaging.

Elizabeth M Haris, Trevor Steward, Kim L Felmingham, Ben J Harrison, Christopher G Davey, Bradford A Moffat, Rebecca K Glarin, Richard A Bryant, Mayuresh S Korgaonkar

Abstract read
In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Elizabeth M HarisBrain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia. elizabeth.haris@unimelb.edu.au.ORCID http://orcid.org/0000-0002-5323-3516
Trevor StewardSchool of Psychological Sciences, Department of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0003-3116-8175
Kim L FelminghamSchool of Psychological Sciences, Department of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, VIC, Australia.
Ben J HarrisonDepartment of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia.
Christopher G DaveyDepartment of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia.ORCID http://orcid.org/0000-0003-1431-3852
Bradford A MoffatThe Melbourne Brain Centre Imaging Unit, Department of Radiology, The University of Melbourne, Parkville, Victoria, Australia.
Rebecca K GlarinThe Melbourne Brain Centre Imaging Unit, Department of Radiology, The University of Melbourne, Parkville, Victoria, Australia.
Richard A Bryant *Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia.ORCID http://orcid.org/0000-0002-9607-819X
Mayuresh S Korgaonkar *Brain Dynamics Centre, Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia. mayuresh.korgaonkar@wimr.org.au.ORCID http://orcid.org/0000-0002-1339-2221

Funding

Department of Health | National Health and Medical Research Council (NHMRC) 1073041Department of Health | National Health and Medical Research Council (NHMRC) 1161897Department of Health | National Health and Medical Research Council (NHMRC) APP1173921Department of Health | National Health and Medical Research Council (NHMRC) APP2024803Department of Health | National Health and Medical Research Council (NHMRC) MRF1193736
6 · The paper itself

Abstract

The amygdala is a subcortical brain structure involved in threat processing and implicated in various psychopathology. Previous efforts to map amygdala subnuclei connectivity have been hindered by technological limitations. This study used ultra-high field imaging to investigate the covariance profiles of amygdala subnuclei to better understand their contribution to trauma-related psychopathology and posttraumatic stress disorder (PTSD). Participants included 59 non-trauma-exposed controls (NEC; 51% female), 78 trauma-exposed controls (TEC; 65% female), and 73 individuals with PTSD (93% female) who completed T1-weighted MP2RAGE anatomical scans using a 7-Tesla MRI scanner. FreeSurfer was used to parcellate 105 brain regions including nine bilateral amygdala subnuclei. Pearson's r correlations were computed for each subnuclei-brain region pair, corrected for age, sex, education, and total brain volume. Gray matter volumes, topological connectivity (nodal degree) using graph analysis, and subnuclei-brain region covariances were compared between-groups. There were between-group volumetric differences for the lateral nuclei (left: NEC < PTSD/TEC; right: PTSD < NEC/TEC), and higher nodal degree of the right paralaminar subnucleus for TEC (vs NEC). Covariance patterns differed between-groups, with lower PTSD (vs NEC) structural covariances for left cortical and central nuclei, and higher TEC (vs NEC) covariances for left lateral, basal, cortical, and anterior-amygdaloid-area, right cortico-amygdaloid transition, and bilateral paralaminar nuclei. This study is the first to reveal differences in amygdala subnuclei covariance profiles along the trauma-spectrum using ultra-high field imaging. Findings suggest that amygdala subnuclei could have differential connectivity profiles in trauma-related conditions and ultra-high field imaging studies are needed to more precisely understand their role.

Indexed as

AmygdalaStress Disorders, Post-TraumaticAdultBrainBrain MappingFemaleGray MatterHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedOrgan Size

Identifiers

PMID41457178
PMCPMC13099380

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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.