ArticleFrontiers in human neuroscience2022
Intrinsic Functional Connectivity in the Default Mode Network Differentiates the Combined and Inattentive Attention Deficit Hyperactivity Disorder Types.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Neurological and biological correlations of ODD with ADHD in children and adolescents: a systematic review.BMC psychology · 2026Pooled it
- A comprehensive overview of the biological foundations of ADHD.Bioscience reports · 2026Review
- Spectral dynamic causal modeling of effective connectivity across multiple brain networks in pilot trainees.iScience · 2026Article
- Regularized CCA identifies sex-specific brain-behavior associations in adolescent psychopathology.Translational psychiatry · 2025Article
- Deep Learning of Brain-Behavior Dimensions Identifies Transdiagnostic Biotypes in Youth with ADHD and Anxiety Disorders.bioRxiv : the preprint server for biology · 2025Article
- Drinking severity mediates the relationship between hypothalamic connectivity and rule-breaking/intrusive behavior differently in young women and men: an exploratory study.Quantitative imaging in medicine and surgery · 2024Article
- Cortical structural and functional coupling during development and implications for attention deficit hyperactivity disorder.Translational psychiatry · 2023Article
- Adolescent Neurodevelopment Within the Context of Impulsivity and Substance Use.Current addiction reports · 2023Article
- The clinical, neuropsychological, and brain functional characteristics of the ADHD restrictive inattentive presentation.Frontiers in psychiatry · 2023Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuroimaging studies have revealed neurobiological differences in ADHD, particularly studies examining connectivity disruption and anatomical network organization. However, the underlying pathophysiology of ADHD types remains elusive as it is unclear whether dysfunctional network connections characterize the underlying clinical symptoms distinguishing ADHD types. Here, we investigated intrinsic functional network connectivity to identify neural signatures that differentiate the combined (ADHD-C) and inattentive (ADHD-I) presentation types. Applying network-based statistical (NBS) and graph theoretical analysis to task-derived intrinsic connectivity data from completed fMRI scans, we evaluated default mode network (DMN) and whole-brain functional network topology in a cohort of 34 ADHD participants (aged 8-17 years) defined using DSM-IV criteria as predominantly inattentive (ADHD-I) type (
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