Machine learning and prediction in fetal, infant, and toddler neuroimaging: A review and primer
Predictive models in neuroimaging are increasingly designed with the intent to improve risk
stratification and support interventional efforts in psychiatry. Many of these models have …
stratification and support interventional efforts in psychiatry. Many of these models have …
[PDF][PDF] An opportunity to increase collaborative science in fetal, infant, and toddler neuroimaging
The field of fetal, infant, and toddler (FIT) neuroimaging research—including magnetic
resonance imaging (MRI), electroencephalography (EEG), magnetoencephalography, and …
resonance imaging (MRI), electroencephalography (EEG), magnetoencephalography, and …
[HTML][HTML] Prediction complements explanation in understanding the developing brain
A central aim of human neuroscience is understanding the neurobiology of cognition and
behavior. Although we have made significant progress towards this goal, reliance on group …
behavior. Although we have made significant progress towards this goal, reliance on group …
Annual research review: not just a small adult brain: understanding later neurodevelopment through imaging the neonatal brain
D Batalle, AD Edwards… - Journal of Child …, 2018 - Wiley Online Library
Background There has been a recent proliferation in neuroimaging research focusing on
brain development in the prenatal, neonatal and very early childhood brain. Early brain …
brain development in the prenatal, neonatal and very early childhood brain. Early brain …
Mapping infant neurodevelopmental precursors of mental disorders: How synthetic cohorts & computational approaches can be used to enhance prediction of early …
Bridging advances in neurodevelopmental assessment and the established onset of
common psychopathologies in early childhood with epidemiological data science and …
common psychopathologies in early childhood with epidemiological data science and …
Editorial Perspective: The paradox of precision health in early development–building large samples to yield individual‐level measures
Precision health refers to the use of individualised biomarkers or predictive models to
provide more tailored information about an individual's likely prognosis. For child psychiatry …
provide more tailored information about an individual's likely prognosis. For child psychiatry …
Modeling individual differences in brain development
Within the field of developmental cognitive neuroscience, there is an increasing interest in
studying individual differences in human brain development in order to predict mental health …
studying individual differences in human brain development in order to predict mental health …
[HTML][HTML] Artificial intelligence for precision medicine in neurodevelopmental disorders
The ambition of precision medicine is to design and optimize the pathway for diagnosis,
therapeutic intervention, and prognosis by using large multidimensional biological datasets …
therapeutic intervention, and prognosis by using large multidimensional biological datasets …
Integrating data science and neuroscience in developmental psychopathology: Formative examples and future directions
This commentary discusses opportunities for advancing the field of developmental
psychopathology through the integration of data science and neuroscience approaches. We …
psychopathology through the integration of data science and neuroscience approaches. We …
[HTML][HTML] Individual variation underlying brain age estimates in typical development
Typical brain development follows a protracted trajectory throughout childhood and
adolescence. Deviations from typical growth trajectories have been implicated in …
adolescence. Deviations from typical growth trajectories have been implicated in …