ArticleHuman brain mapping2020
Functional network dynamics in a neurodevelopmental disorder of known genetic origin.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Synaptic Function and Sensory Processing in ZDHHC9-Associated Neurodevelopmental Disorder: A Mechanistic Account.The European journal of neuroscience · 2025Article
- Dynamic transient brain states in preschoolers mirror parental report of behavior and emotion regulation.Human brain mapping · 2024Article
- Motor learning- and consolidation-related resting state fast and slow brain dynamics across wake and sleep.Scientific reports · 2024Article
- ZDHHC9 promotes colon tumor growth by inhibiting effector T cells.Oncology letters · 2023Article
- Resting state fast brain dynamics predict interindividual variability in motor performance.Scientific reports · 2022Article
- Age of onset modulates resting-state brain network dynamics in Friedreich Ataxia.Human brain mapping · 2021Article
- Transient neural network dynamics in cognitive ageing.Neurobiology of aging · 2021Article
- A generative network model of neurodevelopmental diversity in structural brain organization.Nature communications · 2021Observational
- The "Neural Shift" of Sleep Quality and Cognitive Aging: A Resting-State MEG Study of Transient Neural Dynamics.Frontiers in aging neuroscience · 2021Article
- Alterations in resting-state network dynamics along the Alzheimer's disease continuum.Scientific reports · 2020Article
- Changes in electrophysiological static and dynamic human brain functional architecture from childhood to late adulthood.Scientific reports · 2020Article
- Transdiagnostic Brain Mapping in Developmental Disorders.Current biology : CB · 2020Article
- Functional network dynamics in a neurodevelopmental disorder of known genetic origin.Human brain mapping · 2020Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Dynamic connectivity in functional brain networks is a fundamental aspect of cognitive development, but we have little understanding of the mechanisms driving variability in these networks. Genes are likely to influence the emergence of fast network connectivity via their regulation of neuronal processes, but novel methods to capture these rapid dynamics have rarely been used in genetic populations. The current study redressed this by investigating brain network dynamics in a neurodevelopmental disorder of known genetic origin, by comparing individuals with a ZDHHC9-associated intellectual disability to individuals with no known impairment. We characterised transient network dynamics using a Hidden Markov Model (HMM) on magnetoencephalography (MEG) data, at rest and during auditory oddball stimulation. The HMM is a data-driven method that captures rapid patterns of coordinated brain activity recurring over time. Resting-state network dynamics distinguished the groups, with ZDHHC9 participants showing longer state activation and, crucially, ZDHHC9 gene expression levels predicted the group differences in dynamic connectivity across networks. In contrast, network dynamics during auditory oddball stimulation did not show this association. We demonstrate a link between regional gene expression and brain network dynamics, and present the new application of a powerful method for understanding the neural mechanisms linking genetic variation to cognitive difficulties.
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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.