Evidence map›Paper›PMID 38902355›Full record

ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2024

A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.

Noor B Al-Sharif, Artemis Zavaliangos-Petropulu, Katherine L Narr

Erratum issuedAbstract readReview
In one paragraph

Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Noor B Al-SharifDepartments of Neurology and Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA. nbsharif@ucla.edu.
Artemis Zavaliangos-PetropuluDepartments of Neurology and Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Katherine L NarrDepartments of Neurology and Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-9396-7936

Funding

UCLA Medical Genetics Training ProgramT32GM008243 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Julian Martinez-Agosto, STANLEY F. NELSON · 1987 to 2026
$6.8M
Training Grant in Neurobehavioral GeneticsT32NS048004 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, OPHOFF, ROEL A · 2004 to 2025
$5.8M
Imaging-guided tDCS therapy in major depressionR33MH110526 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NARR, KATHERINE L · 2020 to 2022
$3.2M
1/4-Deciphering Mechanisms of ECT Outcomes and Adverse Effects (DECODE)R01MH128690 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Katherine L Narr · 2022 to 2026
$2.9M
HCP-2.0: Ascertaining Network Mechanisms and Analytics of Emotional Dysfunction (HARMONY)R01MH132962 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BIJSTERBOSCH, JANINE DIANE, NARR, KATHERINE L · 2023 to 2024
$1.6M
NIGMS NIH HHS T32 GM008243NIMH NIH HHS R01 MH128690NIMH NIH HHS R01 MH132962NIMH NIH HHS R33 MH110526NINDS NIH HHS T32 NS048004
6 · The paper itself

Abstract

By measuring the molecular diffusion of water molecules in brain tissue, diffusion MRI (dMRI) provides unique insight into the microstructure and structural connections of the brain in living subjects. Since its inception, the application of dMRI in clinical research has expanded our understanding of the possible biological bases of psychiatric disorders and successful responses to different therapeutic interventions. Here, we review the past decade of diffusion imaging-based investigations with a specific focus on studies examining the mechanisms and predictors of therapeutic response in people with mood disorders. We present a brief overview of the general application of dMRI and key methodological developments in the field that afford increasingly detailed information concerning the macro- and micro-structural properties and connectivity patterns of white matter (WM) pathways and their perturbation over time in patients followed prospectively while undergoing treatment. This is followed by a more in-depth summary of particular studies using dMRI approaches to examine mechanisms and predictors of clinical outcomes in patients with unipolar or bipolar depression receiving pharmacological, neurostimulation, or behavioral treatments. Limitations associated with dMRI research in general and with treatment studies in mood disorders specifically are discussed, as are directions for future research. Despite limitations and the associated discrepancies in findings across individual studies, evolving research strongly indicates that the field is on the precipice of identifying and validating dMRI biomarkers that could lead to more successful personalized treatment approaches and could serve as targets for evaluating the neural effects of novel treatments.

Indexed as

Diffusion Magnetic Resonance ImagingMood DisordersBrainHumansTreatment OutcomeWhite Matter

Identifiers

PMID38902355
PMCPMC11525636

What OpenQuestion holds

Textmetadata
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.