id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-024629-5q7abusm	Luna, Beatriz	Considerations when Characterizing Adolescent Neurocognitive Development	2020-05-11		.txt	text/plain	1273	61	19	A growing number of large-scale Big Data collection efforts, in both the US (e.g., Philadelphia Neurodevelopmental Cohort (PNC); Pediatric Imaging, Neurocognition, and Genetics (PING) study; National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA); Adolescent Brain Cognitive Development (ABCD) study; Lifespan Human Connectome Project Development (HCP-D)) and Europe (e.g., NeuroScience in Psychiatry Network (NSPN), Braintime; Center for Lifespan Changes in Brain and Cognition (LCBC)), as well as multi-site aggregation of existing data (e.g., Enigma Consortium)) have the potential, for the first time, to provide a rigorous understanding of the replicability and effect sizes of various developmental neuroimaging outcomes. These approaches have many key advantages, including flexible and quantitatively-defined functional forms and permit the examination of age-periods of significant change (4), which can delineate plasticity and growth that can inform predictive models for risk for psychopathology (5) and opportunities for effective interventions, though they often require very large sample sizes.	./cache/cord-024629-5q7abusm.txt	./txt/cord-024629-5q7abusm.txt