D
Duygu Tosun
Researcher at University of California, San Francisco
Publications - 129
Citations - 4601
Duygu Tosun is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Medicine & Atrophy. The author has an hindex of 35, co-authored 107 publications receiving 3628 citations. Previous affiliations of Duygu Tosun include University of California, Berkeley & University of California, Los Angeles.
Papers
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Journal ArticleDOI
Update on the Magnetic Resonance Imaging core of the Alzheimer's Disease Neuroimaging Initiative
Clifford R. Jack,Matt A. Bernstein,Bret J. Borowski,Jeff Gunter,Nick C. Fox,Paul M. Thompson,Norbert Schuff,Gunnar Krueger,Ronald J. Killiany,Charles DeCarli,Anders M. Dale,Owen W. Carmichael,Duygu Tosun,Michael W. Weiner +13 more
TL;DR: The approach to the present (“ADNI‐GO”) and future (‘ADNI-2,” if funded) MRI protocol will be to maintain MRI methodological consistency in the previously enrolled “AD NI‐1” subjects who are followed up longitudinally in AD NI‐GO and ADNI‐2.
Journal ArticleDOI
CRUISE: cortical reconstruction using implicit surface evolution.
TL;DR: The method combines a fuzzy tissue classification method, an efficient topology correction algorithm, and a topology-preserving geometric deformable surface model (TGDM) that yields accurate brain surface reconstructions that are guaranteed to be topologically correct and free from self-intersections.
Journal ArticleDOI
Cortical Thickness, Surface Area and Volume of the Brain Reward System in Alcohol Dependence: Relationships to Relapse and Extended Abstinence
Timothy C. Durazzo,Duygu Tosun,Shannon Buckley,Stefan Gazdzinski,Anderson Mon,Susanna L. Fryer,Dieter J. Meyerhoff +6 more
TL;DR: Results suggest relapsers demonstrated morphological abnormalities in regions involved in the "top down" regulation/modulation of internal drive states, emotions, reward processing, and behavior, which may impart increased risk for the relapse/remit cycle that afflicts many with an alcohol use disorder.
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Locus coeruleus imaging as a biomarker for noradrenergic dysfunction in neurodegenerative diseases
Matthew J. Betts,Matthew J. Betts,Evgeniya Kirilina,Evgeniya Kirilina,Maria Concepcion Garcia Otaduy,Dimo Ivanov,Julio Acosta-Cabronero,Martina F. Callaghan,Christian Lambert,Arturo Cardenas-Blanco,Arturo Cardenas-Blanco,Kerrin Pine,Kerrin Pine,Luca Passamonti,Clare Loane,Max C. Keuken,Max C. Keuken,Paula Trujillo,Falk Lüsebrink,Hendrik Mattern,Kathy Y. Liu,Nikos Priovoulos,Klaus Fliessbach,Klaus Fliessbach,Martin J. Dahl,Anne Maaß,Christopher Fugl Madelung,David Meder,Alexander J. Ehrenberg,Alexander J. Ehrenberg,Oliver Speck,Nikolaus Weiskopf,Nikolaus Weiskopf,Raymond J. Dolan,Raymond J. Dolan,Ben Inglis,Duygu Tosun,Markus Morawski,Fabio A. Zucca,Hartwig R. Siebner,Mara Mather,Kamil Uludag,Kamil Uludag,Helmut Heinsen,Helmut Heinsen,Benedikt A. Poser,Robert Howard,Luigi Zecca,Luigi Zecca,James B. Rowe,Lea T. Grinberg,Lea T. Grinberg,Heidi I.L. Jacobs,Heidi I.L. Jacobs,Emrah Düzel,Emrah Düzel,Emrah Düzel,Dorothea Hämmerer,Dorothea Hämmerer,Dorothea Hämmerer +59 more
TL;DR: How in vivo locus coeruleus imaging can be used as a biomarker for noradrenergic dysfunction in neurodegenerative diseases is described and a strategy for achieving reliable and biologically validated imaging approaches is outlined.
Journal ArticleDOI
Network Diffusion Model of Progression Predicts Longitudinal Patterns of Atrophy and Metabolism in Alzheimer’s Disease
TL;DR: This work uses a network diffusion model to predict future patterns of regional atrophy and metabolism from baseline regional patterns of 418 subjects, and helps validate the model as a prognostic tool for Alzheimer's disease assessment.