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Data leakage in feature selection invalidates reported classification accuracy for autism diagnosis from fMRI.

An expression of concern has been published about this paper: the notice, 42555373, from Europe PMC.

Overview

Authors: Semyon Kurkin1, Alexander Hramov1
ORCID iDs: Semyon Kurkin
  1. Research Institute of Applied Artificial Intelligence and Digital Solutions, Plekhanov Russian University of Economics, Moscow, Russia
Journal: EClinicalMedicine, volume 97, article 104049
Dates: received 14 February 2026; accepted 15 June 2026; published online 24 June 2026
Type: Letter · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1016/j.eclinm.2026.104049 · PMID 42518934 · PMCID PMC13382443 · OpenAlex W7165727424
Open access: gold, a free copy (OpenAlex)
Status: dead link
Categories: fMRI (modality), autism (population), clinical / translational (subfield)
Methods: Machine learning, Statistics
Topic: Autism Spectrum Disorder Research (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 4 references in the paper
Notices: An expression of concern has been published about this paper (42555373, from Europe PMC)

Abstract

No abstract was found for this paper: the paper, at the publisher.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

v1dya/XAI-for-ASD

License: none: the authors keep all their rights
State: the link is dead, verified on 27 September 2026
Evidence: found in the paper
Software Heritage: not checked
Found in: the text
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 27 September 2026: the link is dead
  • 27 September 2026: the link is dead

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 2 authors, 3 references, 1 integrity notice.

Cite

This paper

Kurkin, S., & Hramov, A. (2026). Data leakage in feature selection invalidates reported classification accuracy for autism diagnosis from fMRI. EClinicalMedicine, 97, 104049. https://doi.org/10.1016/j.eclinm.2026.104049

BibTeX

@article{kurkin2026data,
author = {Kurkin, Semyon and Hramov, Alexander},
title = {{Data leakage in feature selection invalidates reported classification accuracy for autism diagnosis from fMRI}},
journal = {EClinicalMedicine},
year = {2026},
month = jun,
volume = {97},
pages = {104049},
publisher = {Elsevier},
issn = {2589-5370},
doi = {10.1016/j.eclinm.2026.104049},
url = {https://doi.org/10.1016/j.eclinm.2026.104049},
pmid = {42518934},
pmcid = {PMC13382443}
}

RIS

TY - JOUR
AU - Kurkin, Semyon
AU - Hramov, Alexander
TI - Data leakage in feature selection invalidates reported classification accuracy for autism diagnosis from fMRI
T2 - EClinicalMedicine
J2 - eClinicalMedicine
PY - 2026
DA - 2026/06/24
VL - 97
SP - 104049
SN - 2589-5370
PB - Elsevier
DO - 10.1016/j.eclinm.2026.104049
UR - https://doi.org/10.1016/j.eclinm.2026.104049
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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