R
Rahul S. Desikan
Researcher at University of California, San Francisco
Publications - 120
Citations - 21479
Rahul S. Desikan is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Genome-wide association study & Alzheimer's disease. The author has an hindex of 47, co-authored 117 publications receiving 16596 citations. Previous affiliations of Rahul S. Desikan include University of Oslo & Oslo University Hospital.
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Journal ArticleDOI
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.
Rahul S. Desikan,Florent Ségonne,Bruce Fischl,Bruce Fischl,Brian T. Quinn,Bradford C. Dickerson,Deborah Blacker,Randy L. Buckner,Randy L. Buckner,Anders M. Dale,R. Paul Maguire,Bradley T. Hyman,Marilyn S. Albert,Ronald J. Killiany +13 more
TL;DR: An automated labeling system for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable and may be useful for both morphometric and functional studies of the cerebral cortex.
Journal ArticleDOI
Thinning of the cerebral cortex in aging
David H. Salat,Randy L. Buckner,Randy L. Buckner,Abraham Z. Snyder,Douglas N. Greve,Rahul S. Desikan,Evelina Busa,John C. Morris,Anders M. Dale,Bruce Fischl +9 more
TL;DR: It is demonstrated that cortical thinning occurs by middle age and spans widespread cortical regions that include primary as well as association cortex.
Journal ArticleDOI
Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk.
Iris E. Jansen,Jeanne E. Savage,Kyoko Watanabe,Julien Bryois,Dylan M. Williams,Stacy Steinberg,Julia Sealock,Ida K. Karlsson,Ida K. Karlsson,Sara Hägg,Lavinia Athanasiu,Lavinia Athanasiu,Nicola Voyle,Petroula Proitsi,Aree Witoelar,Sven Stringer,Dag Aarsland,Dag Aarsland,Ina S. Almdahl,Ina S. Almdahl,Ina S. Almdahl,Fred Andersen,Sverre Bergh,Francesco Bettella,Sigurbjorn Bjornsson,Anne Brækhus,Geir Bråthen,Christiaan de Leeuw,Rahul S. Desikan,Srdjan Djurovic,Srdjan Djurovic,Logan Dumitrescu,Tormod Fladby,Tormod Fladby,Timothy J. Hohman,Palmi V. Jonsson,Steven J. Kiddle,Arvid Rongve,Ingvild Saltvedt,Sigrid Botne Sando,Geir Selbæk,Maryam Shoai,Nathan G. Skene,Nathan G. Skene,Jon Snaedal,Eystein Stordal,Eystein Stordal,Ingun Ulstein,Yunpeng Wang,Linda R. White,John Hardy,Jens Hjerling-Leffler,Patrick F. Sullivan,Patrick F. Sullivan,Wiesje M. van der Flier,Richard Dobson,Lea K. Davis,Hreinn Stefansson,Kari Stefansson,Nancy L. Pedersen,Stephan Ripke,Stephan Ripke,Stephan Ripke,Ole A. Andreassen,Danielle Posthuma,Danielle Posthuma +65 more
TL;DR: A large genome-wide association study of clinically diagnosed AD and AD-by-proxy identifies new loci and functional pathways that contribute to AD risk and adds novel insights into the neurobiology of AD.
Journal ArticleDOI
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study.
Donald J. Hagler,Sean N. Hatton,M. Daniela Cornejo,Carolina Makowski,Damien A. Fair,Anthony Steven Dick,Matthew T. Sutherland,B. J. Casey,M Deanna,Michael P. Harms,Richard Watts,James M. Bjork,Hugh Garavan,Laura Hilmer,Christopher J. Pung,Chelsea S. Sicat,Joshua M. Kuperman,Hauke Bartsch,Feng Xue,Mary M. Heitzeg,Angela R. Laird,Thanh T. Trinh,Raul Gonzalez,Susan F. Tapert,Michael C. Riedel,Lindsay M. Squeglia,Luke W. Hyde,Monica D. Rosenberg,Eric Earl,Katia D. Howlett,Fiona C. Baker,Mary E. Soules,Jazmin Diaz,Octavio Ruiz de Leon,Wesley K. Thompson,Michael C. Neale,Megan M. Herting,Elizabeth R. Sowell,Ruben P. Alvarez,Samuel W. Hawes,Mariana Sanchez,Jerzy Bodurka,Florence J. Breslin,Amanda Sheffield Morris,Martin P. Paulus,W. Kyle Simmons,Jonathan R. Polimeni,Andre van der Kouwe,Andrew S. Nencka,Kevin M. Gray,Carlo Pierpaoli,John A. Matochik,Antonio Noronha,Will M. Aklin,Kevin P. Conway,Meyer D. Glantz,Elizabeth Hoffman,Roger Little,Marsha F. Lopez,Vani Pariyadath,Susan R.B. Weiss,Dana L. Wolff-Hughes,Rebecca DelCarmen-Wiggins,Sarah W. Feldstein Ewing,Oscar Miranda-Dominguez,Bonnie J. Nagel,Anders Perrone,Darrick Sturgeon,Aimee Goldstone,Adolf Pfefferbaum,Kilian M. Pohl,Devin Prouty,Kristina A. Uban,Susan Y. Bookheimer,Mirella Dapretto,Adriana Galván,Kara Bagot,Jay N. Giedd,M. Alejandra Infante,Joanna Jacobus,Kevin Patrick,Paul D. Shilling,Rahul S. Desikan,Yi Li,Leo P. Sugrue,Marie T. Banich,Naomi P. Friedman,John K. Hewitt,Christian J. Hopfer,Joseph T. Sakai,Jody Tanabe,Linda B. Cottler,Sara Jo Nixon,Linda Chang,Christine C. Cloak,Thomas Ernst,Gloria Reeves,David N. Kennedy,Steve Heeringa,Scott Peltier,John E. Schulenberg,Chandra Sripada,Robert A. Zucker,William G. Iacono,Monica Luciana,Finnegan J. Calabro,Duncan B. Clark,David A. Lewis,Beatriz Luna,Claudiu Schirda,Tufikameni Brima,John J. Foxe,Edward G. Freedman,Daniel W. Mruzek,Michael J. Mason,Rebekah S. Huber,Erin McGlade,Andrew P. Prescot,Perry F. Renshaw,Deborah A. Yurgelun-Todd,Nicholas Allgaier,Julie A. Dumas,Masha Y. Ivanova,Alexandra Potter,Paul Florsheim,Christine L. Larson,Krista M. Lisdahl,Michael E. Charness,Michael E. Charness,Michael E. Charness,Bernard F. Fuemmeler,John M. Hettema,Hermine H. Maes,Joel L. Steinberg,Andrey P. Anokhin,Paul E.A. Glaser,Andrew C. Heath,Pamela A. F. Madden,Arielle R. Baskin-Sommers,R. Todd Constable,Steven Grant,Gayathri J. Dowling,Sandra A. Brown,Terry L. Jernigan,Anders M. Dale +144 more
TL;DR: The baseline neuroimaging processing and subject-level analysis methods used by the Adolescent Brain Cognitive Development Study are described to be a resource of unprecedented scale and depth for studying typical and atypical development.
Journal ArticleDOI
Improved Detection of Common Variants Associated with Schizophrenia by Leveraging Pleiotropy with Cardiovascular-Disease Risk Factors
Ole A. Andreassen,Ole A. Andreassen,Ole A. Andreassen,Srdjan Djurovic,Srdjan Djurovic,Wesley K. Thompson,Andrew J. Schork,Kenneth S. Kendler,Michael Conlon O'Donovan,Dan Rujescu,Thomas Werge,Martijn van de Bunt,Andrew P. Morris,Mark I. McCarthy,J. Cooper Roddey,Linda K. McEvoy,Rahul S. Desikan,Anders M. Dale +17 more
TL;DR: A genetic-pleiotropy-informed method for improving gene discovery with the use of GWAS summary-statistics data and enrichment of SNPs associated with schizophrenia (SCZ) as a function of the association with several CVD risk factors and a corresponding reduction in false discovery rate is presented.