Development of Human Emotion Circuits Investigated Using a Big-Data Analytic Approach: Stability, Reliability, and Robustness

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¹Department of Psychiatry and Behavioral Sciences,
²Department of Psychology,
³Department of Neurology and Neurological Sciences, and
⁴Stanford Neuroscience Institute, Stanford University, Stanford, California 94305

Author contributions: Y.Z., A.P., and V.M. designed research; Y.Z. and V.M. performed research; Y.Z. and V.M. contributed unpublished reagents/analytic tools; Y.Z. and V.M. analyzed data; Y.Z., A.P., and V.M. wrote the first draft of the paper; Y.Z., A.P., J.J.G., and V.M. edited the paper; Y.Z., A.P., and V.M. wrote the paper.

This work was supported by National Institutes of Health Grants EB022907 and NS086085, the Stanford Child Health Research Institute Transdisciplinary Initiatives Program, and a Stanford Institute for Computational & Mathematical Engineering GPU Computing Seed Grant. We thank Drs. Kaustubh Supekar, Shaozheng Qin, Stacie Warren, and Christina Young for helpful comments on the manuscript; Katherine Duberg for proofreading the manuscript; the PNC consortium for sharing their data; and Drs. Ted Satterthwaite, Daniel Wolf, and Monica Calkins for graciously replying to our queries during the early stages of the study.
The authors declare no competing financial interests.
Correspondence should be addressed to Yuan Zhang at yuanzh{at}stanford.edu or Vinod Menon at menon{at}stanford.edu