Scientific DataNeurosciencePeer-reviewed journal article
A longitudinal data resource to study brain development and transdiagnostic variation in executive function
Brooke L. SevchikiD, Golia ShafieiiD, Kristin Murtha, Sophia LinguitiiD, Lia Brodrick, Juliette B. H. BrookiD, Matthew CieslakiD, Elizabeth A. FlookiD, Kahini P. MehtaiD, Steven L. MeisleriD, Kosha RupareliD, Sage Rush, Taylor SaloiD, S. Parker SingletoniD, Tien T. TongiD, Mrugank Salunke, Dani S. BassettiD, Monica E. CalkinsiD, Mark A. ElliottiD, Raquel E. GuriD, Tyler M. MooreiD, J. Cobb Scott, Russell Taki ShinoharaiD, Matthew Dylan TisdalliD, Daniel H. WolfiD, , Theodore Daniel SatterthwaiteiD
Abstract
Executive function (EF) develops rapidly during adolescence. However, deficits in EF also emerge in adolescence, representing a transdiagnostic symptom associated with many forms of psychopathology. To promote transdiagnostic research on EF during development, we introduce a new data resource - the Penn Longitudinal Executive functioning in Adolescent Development study (Penn LEAD) - that combines longitudinal multimodal imaging data with rich clinical and cognitive phenotyping. These data include 225 imaging sessions from 132 individuals (8-16 years old at the time of enrollment) who are typically developing (27.3%), or meet criteria for attention-deficit hyperactivity disorder (20.5%) or the psychosis-spectrum (52.3%). In addition to phenotypic data from multiple cognitive tasks focused on EF, the study includes data from structural MRI, diffusion MRI, n-back task fMRI, resting-state fMRI, and arterial spin-labeled MRI. Notably, all raw data, fully-processed derived data, and detailed quality control recommendations are publicly shared on OpenNeuro. We anticipate that such analysis-ready data will accelerate research on EF development in psychiatry.
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