ArticleFrontiers in psychiatry2019
Inconsistency in Abnormal Functional Connectivity Across Datasets of ADHD-200 in Children With Attention Deficit Hyperactivity Disorder.
Article in Frontiers in psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 30 citations in OpenAlex.
- Neural Correlates of Virtual Reality Intervention in Children With Attention-Deficit/Hyperactivity Disorder: A Resting-State fMRI Study Based on Percent Amplitude of Fluctuation.Brain and behavior · 2026Article
- Real-world goal-directed behavior reveals aberrant functional brain connectivity in children with ADHD.PloS one · 2025Article
- Structural differences among children, adolescents, and adults with attention-deficit/hyperactivity disorder and abnormal Granger causality of the right pallidum and whole-brain.Frontiers in human neuroscience · 2023Article
- Seed correlation analysis based on brain region activation for ADHD diagnosis in a large-scale resting state data set.Frontiers in human neuroscience · 2023Article
- Article
- Intrinsic Functional Connectivity in the Default Mode Network Differentiates the Combined and Inattentive Attention Deficit Hyperactivity Disorder Types.Frontiers in human neuroscience · 2022Article
- The Monash Autism-ADHD genetics and neurodevelopment (MAGNET) project design and methodologies: a dimensional approach to understanding neurobiological and genetic aetiology.Molecular autism · 2021Article
- Beneath the surface: hyper-connectivity between caudate and salience regions in ADHD fMRI at rest.European child & adolescent psychiatry · 2021Article
- Echo Time Dependency of Local Activity Metrics of Resting-State Functional MRI.Frontiers in neuroscience · 2021Article
- Application of Functional Magnetic Resonance Imaging in the Diagnosis of Parkinson's Disease: A Histogram Analysis.Frontiers in aging neuroscience · 2021Article
- Differences in Disrupted Dynamic Functional Network Connectivity Among Children, Adolescents, and Adults With Attention Deficit/Hyperactivity Disorder: A Resting-State fMRI Study.Frontiers in human neuroscience · 2021Article
- Machine Learning Methods for Diagnosing Autism Spectrum Disorder and Attention- Deficit/Hyperactivity Disorder Using Functional and Structural MRI: A Survey.Frontiers in neuroinformatics · 2020Review
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Authors and funding
9 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Many studies have shown abnormal functional connectivity in children with attention deficit hyperactivity disorder (ADHD) by using resting-state functional magnetic resonance imaging (rs-fMRI). However, few studies illustrated that to what extent these findings were consistent across different datasets. The present study aimed to assess the consistency of abnormal functional connectivity in children with ADHD across the four datasets from a public-assess rs-fMRI ADHD cohort, namely, ADHD-200. We employed the identical analysis process of previous studies and examined a few factors, including connectivity with the seed regions of the bilateral dorsal anterior cingulate cortex, bilateral inferior frontal gyrus, and bilateral middle frontal gyrus; connectivity between default mode network and executive control network; stringent and lenient statistical thresholds; and the ADHD subtypes. Our results revealed a high inconsistency of abnormal seed-based connectivity in children with ADHD across all datasets, even across three datasets from the same research site. This inconsistency could also be observed with a lenient statistical threshold. Besides, each dataset did not show abnormal connectivity between default mode network and executive control network for ADHD, albeit this abnormal connectivity between networks was intensively reported in previous studies. Importantly, the ADHD combined subtype showed greater consistency than did the inattention subtype. These findings provided methodological insights into the studies on spontaneous brain activity of ADHD, and the ADHD subtypes deserve more attention in future studies.
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