Evidence map›Paper›PMID 39441477›Full record

ArticleJournal of autism and developmental disorders2026

Gray Matter Volume Correlates of Co-Occurring Depression in Autism Spectrum Disorder.

Dolcy Dhar, Manasi Chaturvedi, Saanvi Sehwag, Chehak Malhotra, Udit, Chetan Saraf, Mrinmoy Chakrabarty

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Article in Journal of autism and developmental disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Dolcy DharDepartment of Social Sciences and Humanities, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India.
Manasi ChaturvediDepartment of Social Sciences and Humanities, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India.
Saanvi SehwagDepartment of Social Sciences and Humanities, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India.
Chehak MalhotraDepartment of Mathematics, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India.
UditDepartment of Computational Biology, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India.
Chetan SarafDepartment of Computer Science and Engineering, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India.
Mrinmoy ChakrabartyDepartment of Social Sciences and Humanities, Indraprastha Institute of Information Technology Delhi, New Delhi, 110020, India. mrinmoy@iiitd.ac.in.ORCID http://orcid.org/0000-0002-2543-533X

Funding

Indraprastha Institute of Information Technology, Delhi CDNM-IIITDIndraprastha Institute of Information Technology, Delhi Research Initiation Grant
6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) involves neurodevelopmental syndromes with significant deficits in communication, motor behaviors, emotional and social comprehension. Often, individuals with ASD exhibit co-occurring depression characterized by a change in mood and diminished interest in previously enjoyable activities. Due to communicative challenges and a lack of appropriate assessments in this cohort, co-occurring depression can often go undiagnosed during routine clinical examinations and, thus, its management neglected. The literature on co-occurring depression in adults with ASD is limited. Therefore, understanding the neural basis of the co-occurring psychopathology of depression in ASD is crucial for identifying brain-based markers for its timely and effective management. Using structural MRI and phenotypic data from the Autism Brain Imaging Data Exchange (ABIDE II) repository, we examined the pattern of relationship regional grey matter volume (rGMV) has with co-occurring depression and autism severity within regions of a priori interest in adults with ASD (n = 44; age = 17-28 years). Further, we performed an exploratory analysis of the rGMV differences between ASD and matched typically developed (TD, n = 39; age = 18-31 years) samples. The severity of co-occurring depression correlated negatively with the rGMV of the right thalamus. Additionally, a significant interaction was evident between the severity of co-occurring depression and core ASD symptoms towards explaining the rGMV in the left cerebellum crus II. The results further the understanding of the neurobiological underpinnings of co-occurring depression in adults with ASD towards exploring neuroimaging-based biomarkers in the same cohort.

Indexed as

Autism Spectrum DisorderBrainDepressionGray MatterAdolescentAdultComorbidityFemaleHumansMagnetic Resonance ImagingMaleYoung AdultAutismBeck’s Depression InventoryDepressionRegional Gray Matter VolumeVolumetric MRI

Identifiers

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Registered trials

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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.