Evidence map›Paper›PMID 40670681›Full record

ArticleMolecular psychiatry2025

Multivariate patterns linking brain microstructure to temperament and behavior in adolescent eating disorders.

Carolina Makowski, Golia Shafiei, Megan Martinho, Donald J Hagler, Diliana Pecheva, Anders M Dale, Christine Fennema-Notestine, Amanda Bischoff-Grethe, Christina E Wierenga

Abstract read
In one paragraph

Article in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Carolina MakowskiDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA. cmakowski@ucsd.edu.ORCID http://orcid.org/0000-0002-8816-4549
Golia ShafieiDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Megan MartinhoDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Donald J HaglerCenter for Multimodal Imaging and Genetics, J Craig Venter Institute, La Jolla, CA, USA.
Diliana PechevaCenter for Multimodal Imaging and Genetics, J Craig Venter Institute, La Jolla, CA, USA.
Anders M DaleCenter for Multimodal Imaging and Genetics, J Craig Venter Institute, La Jolla, CA, USA.
Christine Fennema-NotestineDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Amanda Bischoff-GretheDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.
Christina E WierengaDepartment of Psychiatry, University of California San Diego, La Jolla, CA, USA.

Funding

Neurocircuitry of Temperament and Motivated Behavior in Adolescent Eating DisordersR01MH113588 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GRETHE, AMANDA BISCHOFF, WIERENGA, CHRISTINA E · 2017 to 2021
$3.3M
Towards an etiological model of adolescent eating disorders through neuroimaging, genetics, and behaviorR00MH132886 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Carolina Makowski · 2025 to 2026
$496k
Towards an etiological model of adolescent eating disorders through neuroimaging, genetics, and behaviorK99MH132886 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MAKOWSKI, CAROLINA · 2023 to 2024
$162k
NIMH NIH HHS K99 MH132886NIMH NIH HHS R00 MH132886NIMH NIH HHS R01 MH113588U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) K99/R00MH132886U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH113588
6 · The paper itself

Abstract

Eating disorders (EDs) are multifaceted psychiatric disorders characterized by varying behaviors, traits, and cognitive profiles driving symptom heterogeneity and severity. Non-invasive neuroimaging studies have been critical to elucidate the neurobiological circuitry involved in ED-related behaviors, but often focused on a limited set of regions of interest and/or symptoms. The current study harnesses multivariate methods to map microstructural and morphometric patterns across the entire brain to multiple domains of behavior and symptomatology in adolescents with EDs. Diffusion-weighted images, modeled with restriction spectrum imaging, were analyzed for 91 adolescents with an ED and 48 healthy controls. Partial least squares analysis was applied to map 38 behavioral measures (encompassing cognition, temperament, and ED symptoms) to restricted diffusion in white matter tracts and subcortical structures across 65 regions of interest. The first significant latent variable explained 46.9% of the covariance between microstructure and behavior. This latent variable retained a significant brain-behavior correlation in held-out data, where an 'undercontrolled' behavioral profile (e.g., higher emotional dysregulation, novelty seeking; lower effortful control and interoceptive awareness) was linked to increased restricted diffusion across white matter tracts, particularly those joining frontal, limbic, and thalamic regions. Individually-derived brain and behavior scores for this latent variable were higher in individuals with binge-purge symptoms, compared to those with only restrictive eating symptoms. Findings demonstrate the value of applying multivariate modeling to the array of brain-behavior relationships inherent to the clinical presentation of EDs, and their relevance for providing a neurobiologically-informed model for future clinical subtyping and prediction efforts.

Indexed as

BrainFeeding and Eating DisordersTemperamentAdolescentAdolescent BehaviorDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansMaleMultivariate AnalysisNeuroimagingWhite Matter

Identifiers

PMID40670681
PMCPMC12282504

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.