The Philadelphia Neurodevelopmental Cohort: A Publicly Available Resource for the Study of Normal and Abnormal Brain Development in Youth
By Theodore D. Satterthwaite, John J. Connolly, Kosha Ruparel, Monica E. Calkins, Chad Jackson, Mark A. Elliott, David R. Roalf, K. Prabhakaran, Ryan Hopson, Meckenzie Behr and 7 more. NeuroImage, 2015
342 citations recorded by the source corpus.
The Philadelphia Neurodevelopmental Cohort (PNC) is a large-scale study of child development that combines neuroimaging, diverse clinical and cognitive phenotypes, and genomics. Data from this rich resource is now publicly available through the database of Genotypes and Phenotypes (dbGaP). Here we focus on the data from the PNC that is available through dbGaP and describe how users can access this data, which is evolving to be a significant resource for the broader neuroscience community for studies of normal and abnormal neurodevelopment.
Subfields: Experimental and Cognitive Psychology, Health, Toxicology and Mutagenesis, Pediatrics, Perinatology and Child Health
View Paper: https://www.semanticscholar.org/paper/1a60295111df32fd2852f4975c4dce1678f4148f
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In Experimental and Cognitive Psychology
In Pediatrics, Perinatology and Child Health
Citations in the corpus
- Recruiting the ABCD sample: Design considerations and procedures (2018, positive): “…UK Biobank (Sudlow et al., 2015), Generation R (Kooijman et al., 2016), GUSTO (Soh et al., 2014), and the Philadelphia Neurodevelopment Cohort (Satterthwaite et al., 2016) or data pooling efforts such as ENIGMA (Thompson et al., 2014) comes the possibility to apply epidemiological principles…”
- Benchmarking of participant‐level confound regression strategies for the control of motion artifact in studies of functional connectivity (2017, methodology): “The task-free BOLD data used in this study (N=393) were drawn from the Philadelphia Neurodevelopmental Cohort (PNC) (Satterthwaite et al., 2014, 2016) on the basis of age, health, and data quality.”