ArticleNeuroImage2021
Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time in segregated network states as revealed by dynamic connectivity analysis.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed, 64 citations in OpenAlex.
- Effect of methylphenidate on functional controllability: a preliminary study in medication-naïve children with ADHD.Translational psychiatry · 2022Trial
- Dynamic Resting-State Network Markers of Disruptive Behavior Problems in Youth.Biological psychiatry global open science · 2026Article
- Introducing Structural Reliance: A New Method to Assess Structure-Function Coupling in the Brain.Human brain mapping · 2026Article
- Mapping content and dynamics in the stream of consciousness through latent brain state analysis.iScience · 2025Article
- Methylphenidate stabilizes dynamic brain network organization during tasks probing attention and reward processing in stimulant-naïve children with ADHD.Translational psychiatry · 2025Article
- Reconfiguration of Functional Brain Network Organization and Dynamics With Changing Cognitive Demands in Children With Attention-Deficit/Hyperactivity Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Triple network dynamics and future alcohol consumption in adolescents.Alcohol, clinical & experimental research · 2025Article
- The Multidimensional Dynamic Feedback Model: A Comprehensive Framework for Understanding and Managing Attention-Deficit/Hyperactivity Disorder.Children (Basel, Switzerland) · 2025Review
- Time-varying brain state dynamics in trait impulsivity and anxiety: An HSMM analysis of resting-state fMRI.Social cognitive and affective neuroscience · 2025Article
- Functional analysis within latent states: A novel framework for analysing functional time series data.PloS one · 2025Article
- Brain network dynamics associated with intentional weight loss in older adults.Aperture neuro · 2025Article
- Reconfiguration of brain network dynamics in bipolar disorder: a hidden Markov model approach.Translational psychiatry · 2024Article
- Neurophysiological avenues to better conceptualizing adaptive cognition.Communications biology · 2024Article
- Different brain functional network abnormalities between attention-deficit/hyperactivity disorder youth with and without familial risk for bipolar disorder.European child & adolescent psychiatry · 2024Article
- Altered neurovascular coupling in the children with attention-deficit/hyperactivity disorder: a comprehensive fMRI analysis.European child & adolescent psychiatry · 2024Article
- The selfish network: how the brain preserves behavioral function through shifts in neuronal network state.Trends in neurosciences · 2024Review
- Altered dynamic functional and effective connectivity in drug-naive children with Tourette syndrome.Translational psychiatry · 2024Article
- Statistical Brain Network Analysis.Annual review of statistics and its application · 2024Article
- Variability in Cognitive Task Performance in Early Adolescence Is Associated With Stronger Between-Network Anticorrelation and Future Attention Problems.Biological psychiatry global open science · 2023Article
- Distinct Frontoparietal Brain Dynamics Underlying the Co-Occurrence of Autism and ADHD.eNeuro · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Previous studies in children with attention-deficit/hyperactivity disorder (ADHD) have observed functional brain network disruption on a whole-brain level, as well as on a sub-network level, particularly as related to the default mode network, attention-related networks, and cognitive control-related networks. Given behavioral findings that children with ADHD have more difficulty sustaining attention and more extreme moment-to-moment fluctuations in behavior than typically developing (TD) children, recently developed methods to assess changes in connectivity over shorter time periods (i.e., "dynamic functional connectivity"), may provide unique insight into dysfunctional network organization in ADHD. Thus, we performed a dynamic functional connectivity (FC) analysis on resting state fMRI data from 38 children with ADHD and 79 TD children. We used Hidden semi-Markov models (HSMMs) to estimate six network states, as well as the most probable sequence of states for each participant. We quantified the dwell time, sojourn time, and transition probabilities across states. We found that children with ADHD spent less total time in, and switched more quickly out of, anticorrelated states involving the default mode network and task-relevant networks as compared to TD children. Moreover, children with ADHD spent more time in a hyperconnected state as compared to TD children. These results provide novel evidence that underlying dynamics may drive the differences in static FC patterns that have been observed in ADHD and imply that disrupted FC dynamics may be a mechanism underlying the behavioral symptoms and cognitive deficits commonly observed in children with ADHD.
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Registered trials
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.