Evidence map›Paper›PMID 42112549›Full record

ArticlePsychological medicine2026

Cortical morphometric inverse divergence in attention-deficit/hyperactivity disorder correlates with cell-type-specific, laminar-specific and developmental transcriptomic signatures.

Yexian Zeng, Li Yang, Zaixu Cui, Qingjiu Cao

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Article in Psychological medicine, 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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yexian Zenghttps://ror.org/05rzcwg85Peking University Sixth Hospital, Beijing, China.
Li Yanghttps://ror.org/05rzcwg85Peking University Sixth Hospital, Beijing, China.ORCID 0000-0003-3771-5969
Zaixu CuiBeijing Institute for Brain Research, https://ror.org/02drdmm93Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 102206, China.
Qingjiu Caohttps://ror.org/05rzcwg85Peking University Sixth Hospital, Beijing, China.

Funding

National Natural Science Foundation of China 82371548
6 · The paper itself

Abstract

backgroundAttention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition with widespread brain structure alterations. However, the relationship between macroscale cortical organization and microscale molecular mechanisms remains unclear, particularly regarding the neurobiological mechanisms shared between the full ADHD cohort and its combined subtype (ADHD-C).

methodsWe analyzed 176 patients with ADHD (105 ADHD-C, 71 ADHD inattentive subtype) and 176 matched typically developing (TD) controls from the ADHD-200 dataset. Morphometric Inverse Divergence (MIND) networks quantified cortical similarity. Partial least squares (PLS) regression linked case-control MIND differences to cortical gene expression, assessing functional enrichment, cell-type specificity, and developmental trajectories.

resultsNeuroanatomically, the ADHD-C subtype exhibited widespread increases in regional MIND values, particularly in temporal and parietal cortices, reflecting greater inter-regional morphological homogeneity. PLS regression revealed that these MIND alterations were spatially correlated with a specific transcriptomic signature (PLS1+). These PLS1+ genes were significantly enriched in mitochondria-related metabolic pathways and showed distinct cortical layer specificity (notably layer V) and developmental stage specificity (from late fetal to late infancy stages). Regarding cell-type specificity, while PLS1+ genes in the full ADHD cohort were significantly enriched in excitatory and inhibitory neurons, the ADHD-C subtype showed similar but trend-level associations. Importantly, the full ADHD cohort and the ADHD-C group shared numerous PLS1-related genes and broad functional pathway enrichment commonalities.

conclusionsThis study links macroscale cortical abnormalities to microscale transcriptional regulation, with pronounced alterations in ADHD-C. The shared genetic and functional profiles between ADHD and its combined subtype underscore common pathological processes, providing novel insights into the neurodevelopmental mechanisms of ADHD.

Indexed as

Attention Deficit Disorder with HyperactivityCerebral CortexTranscriptomeAdolescentCase-Control StudiesChildFemaleHumansMaleADHD combined subtypecell-type-specific signaturescortical gene expressioncortical layers enrichment developmental stages assessmentmorphometric inverse divergence networktranscriptional patterns

Identifiers

PMID42112549
PMCPMC13161819

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