Children (aged 12-15 years old) were recruited as part of TAOS (N = 330). The longitudinal dataset classified children as high or low familial risk for depression and included behavioral questionnaires and MRI scans.
For more information, please contact Peter Kochunov (Peter.Kochunov@uth.tmc.edu).
The diffusion MRI scans were processed using the ENIGMA-DTI pipeline (originally for Kochunov, 2014). The subset of data used in Zhu, et al. is made available here. The spreadsheet contains age, sex, and regional fractional anisotropy (FA) measures, filtered to include one child per family (N = 232).
References:
Zhu, A. H., Nir, T. M., Javid, S., Villalon-Reina, J. E., Rodrigue, A. L., Strike, L. T., ... & Alzheimer’s Disease Neuroimaging Initiative. (2024). Lifespan reference curves for harmonizing multi-site regional brain white matter metrics from diffusion MRI. bioRxiv.
Kochunov, P., Jahanshad, N., Sprooten, E., Nichols, T. E., Mandl, R. C., Almasy, L., ... & Glahn, D. C. (2014). Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: comparing meta and megaanalytical approaches for data pooling. Neuroimage, 95, 136-150.
The TAOS study (PI: D.E. Williamson) was supported by the National Institute on Alcohol Abuse and Alcoholism (R01AA016274) —“Affective and Neuro-biological Predictors ofAdolescent-OnsetAUD” and the Dielmann Family.