Identification of critical brain regions for autism diagnosis from fMRI data using explainable AI: an observational analysis of the ABIDE dataset

Authors

Vidya Sudevan (ORCID: https://orcid.org/0009-0002-2734-624X)
Emmanuel Ifeachor (ORCID: https://orcid.org/0000-0001-8362-6292)
Karan Gupta (ORCID: https://orcid.org/0000-0002-4825-6625)
Amir Aly (ORCID: https://orcid.org/0000-0001-5169-0679)
Andy J. Wills (ORCID: https://orcid.org/0000-0003-4803-0367)
Rohit Shankar (ORCID: https://orcid.org/0000-0002-1183-6933)

Institutions

University of Plymouth (GB)

Publication Details

Journal: EClinicalMedicine
Published: 2025-09-23
DOI: https://doi.org/10.1016/j.eclinm.2025.103452
Citations: 3
Primary Topic: Autism Spectrum Disorder Research
Type: article
Field-Weighted Citation Impact: 4.29

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article

Identification of critical brain regions for autism diagnosis from fMRI data using explainable AI: an observational analysis of the ABIDE dataset

Vidya Sudevan, Emmanuel Ifeachor, Karan Gupta, Amir Aly et al.

Sep 23, 2025

3 citations

EClinicalMedicine

Autism Spectrum Disorder Research

4.29

article

Identification of critical brain regions for autism diagnosis from fMRI data using explainable AI: an observational analysis of the ABIDE dataset

Vidya Sudevan, Emmanuel Ifeachor, Karan Gupta, Amir Aly, Andy J. Wills, Rohit Shankar

September 23, 2025article en

3 citations

Abstract

No abstract available for this paper.

EClinicalMedicineVol. 88

University of Plymouth (GB)

Openalex Percentile: Top 5%

Autism Spectrum Disorder Research

4.29

DOI Open Access PDF OpenAlex

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