Evidence map›Paper›PMID 41894386›Full record

ArticlePloS one2026

Comparison of cognitive ability and its distribution between men with autism spectrum disorder and attention-deficit/hyperactivity disorder.

Hirokazu Doi, Yoshifumi Nakamura, Ayaka Nakai, Chieko Kanai, Haruhisa Ohta

Abstract readComparative Study
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hirokazu DoiDepartment of Information and Management Systems Engineering, Nagaoka University of Technology, Kamitomioka Nagaoka, Niigata, Japan.ORCID https://orcid.org/0000-0003-0421-2492
Yoshifumi NakamuraDepartment of Psychiatry, Showa University, Japan.ORCID https://orcid.org/0009-0007-2732-3802
Ayaka NakaiDepartment of Psychiatry, Showa University, Japan.
Chieko KanaiFaculty of Humanities, Wayo Women's University, Japan.
Haruhisa OhtaDepartment of Psychiatry, Showa University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesClarification of the strengths and weaknesses of cognitive ability is essential to our understanding of the characteristics of autism spectrum disorder and attention deficit/hyperactivity disorder. However, whether individuals with these conditions exhibit distinct patterns of cognitive ability remains unclear. To address this point, we aimed to compare the cognitive profiles of patients with autism spectrum disorder with those of patients with attention deficit/hyperactivity disorder by placing special emphasis on the distribution of cognitive function within each group.

methodsThis study compared the Wechsler Adult Intelligence Scale index scores of men with autism spectrum disorder and attention deficit/hyperactivity disorder. A machine learning model was trained to classify autism spectrum disorder and attention deficit/hyperactivity disorder based on the subtest scores. The conformity of the within-group distribution of each index score to a normal distribution was also tested.

resultsIndividuals with autism spectrum disorder scored higher than those with attention deficit/hyperactivity disorder in the Verbal Comprehension Index and Working Memory Index, while the opposite pattern was observed for the Perceptual Organization Index. The classification performance of the machine learning model was above chance level. The distributions of the Verbal Comprehension Index and Perceptual Organization Index deviated significantly from a normal distribution only in the autism spectrum disorder group. The results of Gaussian mixture clustering indicated that men with autism spectrum disorder could be divided into two distinct clusters based on their Verbal Comprehension Index scores.

conclusionsOur findings indicate that men with autism spectrum disorder and attention deficit/hyperactivity disorder show distinct cognitive profile patterns from each other. The distribution of some of the index scores deviated from the normal distribution only in autism spectrum disorder, which supports the view that autism spectrum disorder comprises heterogeneous subgroups with different cognitive profiles.

Indexed as

Attention Deficit Disorder with HyperactivityAutism Spectrum DisorderCognitionAdolescentAdultHumansMachine LearningMaleMemory, Short-TermWechsler ScalesYoung Adult

Identifiers

PMID41894386
PMCPMC13028514

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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.