ArticleMolecular psychiatry2021
Latent brain state dynamics distinguish behavioral variability, impaired decision-making, and inattention.
Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.
- Differences in Ex-Gaussian Parameters from Response Time Distributions Between Individuals with and Without Attention Deficit/Hyperactivity Disorder: A Meta-analysis.Neuropsychology review · 2024Pooled it
- Bayesian dynamical system analysis of the effects of methylphenidate in children with attention-deficit/hyperactivity disorder: a randomized trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Trial
- Methylphenidate Enhances Spontaneous Fluctuations in Reward and Cognitive Control Networks in Children With Attention-Deficit/Hyperactivity Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Trial
- Protracted Maturation of Proactive and Reactive Systems Predicts Cognitive Stability and Psychopathology : A longitudinal multi-cohort study.bioRxiv : the preprint server for biology · 2026Article
- Latent brain state dynamics predict early amyloid accumulation and cognitive impairment.bioRxiv : the preprint server for biology · 2026Article
- Dynamic modeling in neurocognitive frameworks of childhood ADHD: a review of inhibitory control and reward systems.Translational psychiatry · 2026Review
- Perceptual Decision Efficiency Is Modifiable and Associated with Decreased Musculoskeletal Injury Risk Among Female College Soccer Players.Brain sciences · 2025Article
- Advances in Assessment and Training of Perceptual-Motor Performance.Brain sciences · 2025Article
- Exploring the neural basis of reaction time variability in ADHD: The importance of examining data at the trial level.Neuroimage. Reports · 2025Article
- Disentangling sources of variability in decision-making.Nature reviews. Neuroscience · 2025Review
- Dopaminergic modulation and dosage effects on brain state dynamics and working memory component processes in Parkinson's disease.Nature communications · 2025Article
- Reduced temporal and spatial stability of neural activity patterns predict cognitive control deficits in children with ADHD.Nature communications · 2025Article
- Fostering experiential learning of neurocognitive skills in brain injury tele-rehabilitation: bridging gaps in remote training by integrating scenario-based digital experiences with coaching.Frontiers in human neuroscience · 2025Article
- LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Resting state functional brain connectivity in child and adolescent psychiatry: where are we now?Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Protocol and preregistration for the CODEC project: measuring, modelling and mechanistically understanding the nature of cognitive variability in early childhood.BMC psychology · 2024Article
- Reduced temporal and spatial stability of neural activity patterns predict cognitive control deficits in children with ADHD.bioRxiv : the preprint server for biology · 2024Article
- Assessing the Longitudinal Associations Between Decision-Making Processes and Attention Problems in Early Adolescence.Research on child and adolescent psychopathology · 2024Article
- Edge-Based General Linear Models Capture Moment-to-Moment Fluctuations in Attention.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- A multi-demand operating system underlying diverse cognitive tasks.Nature communications · 2024Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
Abstract
Children with Attention Deficit Hyperactivity Disorder (ADHD) have prominent deficits in sustained attention that manifest as elevated intra-individual response variability and poor decision-making. Influential neurocognitive models have linked attentional fluctuations to aberrant brain dynamics, but these models have not been tested with computationally rigorous procedures. Here we use a Research Domain Criteria approach, drift-diffusion modeling of behavior, and a novel Bayesian Switching Dynamic System unsupervised learning algorithm, with ultrafast temporal resolution (490 ms) whole-brain task-fMRI data, to investigate latent brain state dynamics of salience, frontoparietal, and default mode networks and their relation to response variability, latent decision-making processes, and inattention. Our analyses revealed that occurrence of a task-optimal latent brain state predicted decreased intra-individual response variability and increased evidence accumulation related to decision-making. In contrast, occurrence and dwell time of a non-optimal latent brain state predicted inattention symptoms and furthermore, in a categorical analysis, distinguished children with ADHD from controls. Importantly, functional connectivity between salience and frontoparietal networks predicted rate of evidence accumulation to a decision threshold, whereas functional connectivity between salience and default mode networks predicted inattention. Taken together, our computational modeling reveals dissociable latent brain state features underlying response variability, impaired decision-making, and inattentional symptoms common to ADHD. Our findings provide novel insights into the neurobiology of attention deficits in children.
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