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Family history of FXTAS is associated with age-related cognitive-linguistic decline among mothers with the FMR1 premutation.
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In: Journal of neurodevelopmental disorders, vol 14, iss 1 (2022)
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Providing a parent-administered outcome measure in a bilingual family of a father and a mother of two adolescents with ASD: brief report.
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In: Developmental neurorehabilitation, vol 25, iss 2 (2022)
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Neurodevelopmental outcomes among extremely premature infants with linear growth restriction.
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Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders
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Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium.
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In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020)
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Use of the CDR® plus NACC FTLD in mild FTLD: Data from the ARTFL/LEFFTDS consortium.
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In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020)
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Utility of the global CDR® plus NACC FTLD rating and development of scoring rules: Data from the ARTFL/LEFFTDS Consortium.
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In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020)
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Use of the CDR® plus NACC FTLD in mild FTLD: Data from the ARTFL/LEFFTDS consortium.
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In: Alzheimer's & dementia : the journal of the Alzheimer's Association, vol 16, iss 1 (2020)
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Screen time in 36-month-olds at increased likelihood for ASD and ADHD.
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Screen time in 36-month-olds at increased likelihood for ASD and ADHD.
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Health comorbidities and cognitive abilities across the lifespan in Down syndrome. ...
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Play and prosociality are associated with fewer externalizing problems in children with developmental language disorder: The role of early language and communication environment. ...
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Novel word learning deficits in infants at family risk for dyslexia. ...
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Health comorbidities and cognitive abilities across the lifespan in Down syndrome.
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Neurodevelopmental outcomes among extremely premature infants with linear growth restriction.
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In: Journal of perinatology : official journal of the California Perinatal Association, vol 39, iss 2 (2019)
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Remapping the cognitive and neural profiles of children who struggle at school. ...
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STXBP1-associated neurodevelopmental disorder: a comparative study of behavioural characteristics. ...
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Early Risk Factors and Emotional Difficulties in Children at Risk of Developmental Language Disorder: A Population Cohort Study. ...
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Remapping the cognitive and neural profiles of children who struggle at school.
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Abstract:
Our understanding of learning difficulties largely comes from children with specific diagnoses or individuals selected from community/clinical samples according to strict inclusion criteria. Applying strict exclusionary criteria overemphasizes within group homogeneity and between group differences, and fails to capture comorbidity. Here, we identify cognitive profiles in a large heterogeneous sample of struggling learners, using unsupervised machine learning in the form of an artificial neural network. Children were referred to the Centre for Attention Learning and Memory (CALM) by health and education professionals, irrespective of diagnosis or comorbidity, for problems in attention, memory, language, or poor school progress (n = 530). Children completed a battery of cognitive and learning assessments, underwent a structural MRI scan, and their parents completed behavior questionnaires. Within the network we could identify four groups of children: (a) children with broad cognitive difficulties, and severe reading, spelling and maths problems; (b) children with age-typical cognitive abilities and learning profiles; (c) children with working memory problems; and (d) children with phonological difficulties. Despite their contrasting cognitive profiles, the learning profiles for the latter two groups did not differ: both were around 1 SD below age-expected levels on all learning measures. Importantly a child's cognitive profile was not predicted by diagnosis or referral reason. We also constructed whole-brain structural connectomes for children from these four groupings (n = 184), alongside an additional group of typically developing children (n = 36), and identified distinct patterns of brain organization for each group. This study represents a novel move toward identifying data-driven neurocognitive dimensions underlying learning-related difficulties in a representative sample of poor learners.
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Keyword:
Attention; Brain Mapping; CALM Team; Child; Cognition Disorders; Female; Humans; Language; Language Development Disorders; Learning Disabilities; Linguistics; Male; Mathematics; Memory; Reading; Short-Term
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URL: https://www.repository.cam.ac.uk/handle/1810/285344
https://doi.org/10.17863/CAM.27475
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Early Risk Factors and Emotional Difficulties in Children at Risk of Developmental Language Disorder: A Population Cohort Study.
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