ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2019
Resting-State fMRI Networks in Children with Tuberous Sclerosis Complex.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Prognostic application of lesion network mapping to epilepsy surgery outcomes in pediatric tuberous sclerosis complex.Epilepsia · 2025Article
- Epileptogenesis in tuberous sclerosis complex-related developmental and epileptic encephalopathy.Brain : a journal of neurology · 2023Review
- Assessment of disrupted brain functional connectome in tuberous sclerosis complex using resting-state fMRI.Medicine · 2022Article
- mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity.Nature communications · 2021Article
- Alterations in resting-state functional connectivity in pediatric patients with tuberous sclerosis complex.Epilepsia open · 2021Article
- Neuroimaging in tuberous sclerosis complex.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2020Review
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
Abstract
background and purposeThere are no published studies examining resting state networks (RSNs) and their relationship with neurodevelopmental metrics in tuberous sclerosis complex (TSC). We aimed to identify major resting-state functional magnetic resonance imaging (rs-fMRI) networks in infants with TSC and correlate network analyses with neurodevelopmental assessments, autism diagnosis, and seizure history.
methodsRs-fMRI data from 34 infants with TSC, sedated with propofol during the scan, were analyzed to identify auditory, motor, and visual RSNs. We examined the correlations between auditory, motor, and visual RSNs at approximately 11.5 months, neurodevelopmental outcome at approximately 18.5 months, and diagnosis of autism spectrum disorders at approximately 36 months of age.
resultsRSNs were obtained in 76.5% (26/34) of infants. We observed significant negative correlations between auditory RSN and auditory comprehension test scores (p = .038; r = -.435), as well as significant positive correlations between motor RSN and gross motor skills test scores (p = .023; r = .564). Significant positive correlations between motor RSNs and gross motor skills (p = .012; r = .754) were observed in TSC infants without autism, but not in TSC infants with autism, which could suggest altered motor processing. There were no significant differences in RSNs according to seizure history.
conclusionsNegative correlation between auditory RSN, as well as positive correlation between motor RSN and developmental outcome measures might reflect different brain mechanisms and, when identified, may be helpful in predicting later function. A larger study of TSC patients with a healthy control group is needed before auditory and motor RSNs could be considered as neurodevelopmental outcome biomarkers.
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Registered trials
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