Evidence map›Paper›PMID 34455188›Full record

ArticleNeuroImage. Clinical2021

Aberrant levels of cortical myelin distinguish individuals with depressive disorders from healthy controls.

David A A Baranger, Yaroslav O Halchenko, Skye Satz, Rachel Ragozzino, Satish Iyengar, Holly A Swartz, Anna Manelis

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

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  9. Demyelination in Patients with POST-COVID Depression.Journal of clinical medicine · 2024
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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

7 authors at 3 institutions in 1 country.

David A A BarangerDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: dbaranger@pitt.edu.
Yaroslav O HalchenkoDepartment of Psychological and Brain Sciences, Dartmouth College, NH, USA.
Skye SatzDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA.
Rachel RagozzinoDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA.
Satish IyengarDepartment of Statistics, University of Pittsburgh, Pittsburgh, PA, USA.
Holly A SwartzDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA.
Anna ManelisDepartment of Psychiatry, Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: anna.manelis@gmail.com.
University of Pittsburgh Medical Center · USDartmouth College · USUniversity of Pittsburgh · US

Funding

Resource DiscoveryP41EB019936 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI David Nelson Kennedy · 2016 to 2026
$15.2M
The contribution of aberrant anticipatory processing to spectrum depression and mania, and cognitive and emotional dysfunction in major depressive and bipolar disordersR01MH114870 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MANELIS, ANNA · 2018 to 2022
$2.9M
NIBIB NIH HHS P41 EB019936NIMH NIH HHS R01 MH114870
6 · The paper itself

Abstract

The association between depressive disorders and measures reflecting myelin content is underexplored, despite growing evidence of associations with white matter tract integrity. We characterized the T1w/T2w ratio using the Glasser atlas in 39 UD and 47 HC participants (ages = 19-44, 75% female). A logistic elastic net regularized regression with nested cross-validation and a subsequent linear discriminant analysis conducted on held-out samples were used to select brain regions and classify patients vs. healthy controls (HC). True-label model performance was compared against permuted-label model performance. The T1w/T2w ratio distinguished patients from HC with 68% accuracy (p < 0.001; sensitivity = 63.8%, specificity = 71.5%). Brain regions contributing to this classification performance were located in the orbitofrontal cortex, anterior cingulate, extended visual, and auditory cortices, and showed statistically significant differences in the T1w/T2w ratio for patients vs. HC. As the T1w/T2w ratio is thought to characterize cortical myelin, patterns of cortical myelin in these regions may be a biomarker distinguishing individuals with depressive disorders from HC.

Indexed as

Depressive DisorderWhite MatterAdultBrainFemaleHumansMagnetic Resonance ImagingMaleMyelin SheathYoung AdultCortical myelinDepressionElastic netLDAMachine learningMRIT1w/T2w ratio

Identifiers

PMID34455188
PMCPMC8406024
OpenAlexW3195002149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.