Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline

Author:

Adhikari Bhim M.1,Jahanshad Neda2,Shukla Dinesh1,Glahn David C.3ORCID,Blangero John4,Fox Peter T.5,Reynolds Richard C.6,Cox Robert W.6,Fieremans Els7,Veraart Jelle7,Novikov Dmitry S.7,Nichols Thomas E.8,Hong L. Elliot1,Thompson Paul M.2,Kochunov Peter1ORCID

Affiliation:

1. Department of Psychiatry, Maryland Psychiatric Research CenterUniversity of Maryland School of Medicine Baltimore Maryland

2. Imaging Genetics Center, Stevens Institute for Neuroimaging and InformaticsKeck School of Medicine of USC Los Angeles California

3. Department of PsychiatrySchool of Medicine, Yale University New Haven Connecticut

4. Genomics Computing CenterUniversity of Texas at Rio Grande Valley Edinburg Texas

5. University of Texas Health Science Center at San Antonio San Antonio Texas

6. National Institute of Mental Health Bethesda Maryland

7. Center for Biomedical Imaging, Department of RadiologyNew York University School of Medicine New York New York

8. Department of StatisticsUniversity of Warwick Coventry United Kingdom

Funder

National Institutes of Health

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Reference35 articles.

1. A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: The ENIGMA rs‐fMRI Protocol;Adhikari B. M.;Brain Imaging and Behavior,2017

2. Multipoint Quantitative-Trait Linkage Analysis in General Pedigrees

3. Robust variance‐components approach for assessing genetic linkage in pedigrees;Amos C. I.;American Journal of Human Genetics,1994

4. Heritability of brain volumes in older adults: The older Australian twins study;Batouli S. A.;Neurobiology of Aging,2013

5. Rank-Based Inverse Normal Transformations are Increasingly Used, But are They Merited?

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