Derrek P. Hibar, Ph.D.

Affiliations: 
Biomedical Engineering 0289 University of California, Los Angeles, Los Angeles, CA 
Area:
neuroimgaging
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"Derrek Hibar"
Mean distance: 18.25 (cluster 51)
 

Parents

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Paul M. Thompson grad student 2013 UCLA
 (Genetic Determinants of Brain Structure.)
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Publications

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Mufford M, Cheung J, Jahanshad N, et al. (2019) Concordance of genetic variation that increases risk for tourette syndrome and that influences its underlying neurocircuitry. Translational Psychiatry. 9: 120
Klein M, Walters RK, Demontis D, et al. (2019) Genetic Markers of ADHD-Related Variations in Intracranial Volume. The American Journal of Psychiatry. 176: 228-238
Sønderby IE, Gústafsson Ó, Doan NT, et al. (2019) Correction: Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Molecular Psychiatry
van der Merwe C, Jahanshad N, Cheung JW, et al. (2019) Concordance of genetic variation that increases risk for anxiety disorders and posttraumatic stress disorders and that influences their underlying neurocircuitry. Journal of Affective Disorders. 245: 885-896
Boedhoe PSW, Heymans MW, Schmaal L, et al. (2018) An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group. Frontiers in Neuroinformatics. 12: 102
van Erp TGM, Walton E, Hibar DP, et al. (2018) Reply to: New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process? Biological Psychiatry
Mackey S, Allgaier N, Chaarani B, et al. (2018) Mega-Analysis of Gray Matter Volume in Substance Dependence: General and Substance-Specific Regional Effects. The American Journal of Psychiatry. appiajp201817040415
Sønderby IE, Gústafsson Ó, Doan NT, et al. (2018) Dose response of the 16p11.2 distal copy number variant on intracranial volume and basal ganglia. Molecular Psychiatry
Nunes A, Schnack HG, Ching CRK, et al. (2018) Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group. Molecular Psychiatry
van Erp TGM, Walton E, Hibar DP, et al. (2018) Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biological Psychiatry
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