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Review
. 2014 Feb 1:86:544-53.
doi: 10.1016/j.neuroimage.2013.07.064. Epub 2013 Aug 3.

Neuroimaging of the Philadelphia neurodevelopmental cohort

Theodore D Satterthwaite  1 , Mark A Elliott  2 , Kosha Ruparel  3 , James Loughead  3 , Karthik Prabhakaran  3 , Monica E Calkins  3 , Ryan Hopson  3 , Chad Jackson  3 , Jack Keefe  3 , Marisa Riley  3 , Frank D Mentch  4 , Patrick Sleiman  4 , Ragini Verma  2 , Christos Davatzikos  2 , Hakon Hakonarson  4 , Ruben C Gur  5 , Raquel E Gur  6
Affiliations
Review

Neuroimaging of the Philadelphia neurodevelopmental cohort

Theodore D Satterthwaite et al. Neuroimage. .

Abstract

The Philadelphia Neurodevelopmental Cohort (PNC) is a large-scale, NIMH funded initiative to understand how brain maturation mediates cognitive development and vulnerability to psychiatric illness, and understand how genetics impacts this process. As part of this study, 1445 adolescents ages 8-21 at enrollment underwent multimodal neuroimaging. Here, we highlight the conceptual basis for the effort, the study design, and the measures available in the dataset. We focus on neuroimaging measures obtained, including T1-weighted structural neuroimaging, diffusion tensor imaging, perfusion neuroimaging using arterial spin labeling, functional imaging tasks of working memory and emotion identification, and resting state imaging of functional connectivity. Furthermore, we provide characteristics regarding the final sample acquired. Finally, we describe mechanisms in place for data sharing that will allow the PNC to become a freely available public resource to advance our understanding of normal and pathological brain development.

Keywords: Adolescence; Brain; Connectome; Development; MRI; Neuroimaging; Resting-state; fMRI.

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Figures

Figure 1
Figure 1
Overall study design.
Figure 2
Figure 2
Schematic of recruitment process.
Figure 3
Figure 3
Final sample composition (n=1,445) by age and sex (A) or race (B).
Figure 4
Figure 4
Scanner stability. Scanner stability was monitored by calculating the mean temporal SNR of the fractal n-back BOLD sequence with a standard Siemens cylindrical phantom doped with nickel sulfate.
Figure 5
Figure 5
Relationship between tSNR and subject motion (mean relative displacement) in fractal n-back task (n=1,316).
Figure 6
Figure 6
PNC informatics.
See this image and copyright information in PMC

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