ArticleNeuroImage2021
Functional connectivity patterns predict naturalistic viewing versus rest across development.
Article in NeuroImage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Cortical Network Overconnectivity Relates to Sensory, Cognitive, and Social Dimensions in Young Children With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026Article
- A view-engage-predict framework for enhancing brain-behavior mapping with naturalistic movie-watching fMRI.Communications biology · 2026Article
- Characteristic of cerebral hemodynamics and functional connectivity in patients with neuropathic pain after spinal cord injury: an exploratory study.Frontiers in neuroscience · 2025Article
- Frequency-specific functional difference between gyri and sulci in naturalistic paradigm fMRI.Brain structure & function · 2024Article
- Similarity in functional connectome architecture predicts teenage grit.Social cognitive and affective neuroscience · 2023Article
- Characterizing the spatiotemporal features of functional connectivity across the white matter and gray matter during the naturalistic condition.Frontiers in neuroscience · 2023Article
- Network controllability mediates the relationship between rigid structure and flexible dynamics.Network neuroscience (Cambridge, Mass.) · 2022Article
- Classification of drug-naive children with attention-deficit/hyperactivity disorder from typical development controls using resting-state fMRI and graph theoretical approach.Frontiers in human neuroscience · 2022Article
- Getting the nod: Pediatric head motion in a transdiagnostic sample during movie- and resting-state fMRI.PloS one · 2022Article
- Fractal-Based Analysis of fMRI BOLD Signal During Naturalistic Viewing Conditions.Frontiers in physiology · 2021Article
- Predictive modeling of neurobehavioral state and trait variation across development.Developmental cognitive neuroscience · 2020Review
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Authors and funding
3 authors.
Funding
Abstract
Cognitive states, such as rest and task engagement, share an 'intrinsic' functional network organization that is subject to minimal variation over time and yields stable signatures within an individual. Importantly, there are also transient state-specific functional connectivity (FC) patterns that vary across neural states. Here, we examine functional brain organization differences that underlie distinct states in a cross-sectional developmental sample. We compare FC fMRI data acquired during naturalistic viewing (i.e., movie-watching) and resting-state paradigms in a large cohort of 157 children and young adults aged 6-20. Naturalistic paradigms are commonly implemented in pediatric research because they maintain the child's attention and contribute to reduced head motion. It remains unknown, however, to what extent the brain-wide functional network organization is comparable during movie-watching and rest across development. Here, we identify a widespread FC pattern that predicts whether individuals are watching a movie or resting. Specifically, we develop a model for prediction of multilevel neural effects (termed PrimeNet), which can with high reliability distinguish between movie-watching and rest irrespective of age and that generalizes across movies. In turn, we characterize FC patterns in the most predictive functional networks for movie-watching versus rest and show that these patterns can indeed vary as a function of development. Collectively, these effects highlight a 'core' FC pattern that is robustly associated with naturalistic viewing, which also exhibits change across age. These results, focused here on naturalistic viewing, provide a roadmap for quantifying state-specific functional neural organization across development, which may reveal key variation in neurodevelopmental trajectories associated with behavioral phenotypes.
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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.