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Children with attention-deficit/hyperactivity disorder spend more time in hyperconnected network states and less time
Heather M Shappell1, Kelly A Duffy2, Keri S Rosch3
1Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Insights
Children with attention-deficit/hyperactivity disorder (ADHD) exhibit altered brain network dynamics, spending less time in certain network states and more time in hyperconnected states compared to typically developing peers.
Area of Science:
- Neuroscience
- Developmental Psychology
- Cognitive Science
Background:
- Attention-deficit/hyperactivity disorder (ADHD) is associated with widespread functional brain network disruptions.
- Previous research focused on static functional connectivity, but dynamic changes may offer deeper insights into ADHD's neural underpinnings.
Purpose of the Study:
- To investigate dynamic functional connectivity (FC) in children with ADHD using resting-state fMRI.
- To explore how network states and transitions differ between children with ADHD and typically developing (TD) children.
Main Methods:
- Utilized Hidden semi-Markov models (HSMMs) to analyze resting-state fMRI data from 38 children with ADHD and 79 TD children.
- Estimated six distinct network states and analyzed temporal properties like dwell time and transition probabilities.
Main Results:
- Children with ADHD spent less time in anticorrelated states involving the default mode network and task-relevant networks.
- ADHD group exhibited quicker transitions out of these states and spent more time in a hyperconnected state.
- Dynamic FC differences were observed compared to TD children.
Conclusions:
- Disrupted functional connectivity dynamics, not just static patterns, may underlie ADHD symptoms and cognitive deficits.
- Altered temporal dynamics of brain networks represent a potential mechanism contributing to ADHD's behavioral manifestations.
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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