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Artemis Zavaliangos-Petropulu
Researcher at University of Southern California
Publications - 41
Citations - 1146
Artemis Zavaliangos-Petropulu is an academic researcher from University of Southern California. The author has contributed to research in topics: Medicine & Diffusion MRI. The author has an hindex of 8, co-authored 27 publications receiving 811 citations.
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Journal ArticleDOI
Subcortical brain alterations in major depressive disorder : findings from the ENIGMA Major Depressive Disorder working group
Tiffany C. Ho,Boris A. Gutman,Elena Pozzi,Hans J. Grabe,Norbert Hosten,Katharina Wittfeld,Henry Völzke,Bernhard T. Baune,Bernhard T. Baune,Udo Dannlowski,Katharina Förster,Dominik Grotegerd,Ronny Redlich,Andreas Jansen,Tilo Kircher,Axel Krug,Susanne Meinert,Igor Nenadic,Nils Opel,Richard Dinga,Dick J. Veltman,Knut Schnell,Ilya M. Veer,Henrik Walter,Ian H. Gotlib,Matthew D. Sacchet,Matthew D. Sacchet,André Aleman,Nynke A. Groenewold,Dan J. Stein,Meng Li,Martin Walter,Christopher R.K. Ching,Neda Jahanshad,Anjanibhargavi Ragothaman,Dmitry Isaev,Artemis Zavaliangos-Petropulu,Paul M. Thompson,Philipp G. Sämann,Lianne Schmaal +39 more
TL;DR: Three-dimensional brain magnetic resonance imaging data was meta-analyzed to identify subcortical brain volumes that robustly discriminate major depressive disorder patients from healthy controls and showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status.
Journal ArticleDOI
Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3
Artemis Zavaliangos-Petropulu,Talia M. Nir,Sophia I. Thomopoulos,Robert I. Reid,Matt A. Bernstein,Bret J. Borowski,Clifford R. Jack,Michael W. Weiner,Neda Jahanshad,Paul M. Thompson +9 more
TL;DR: Across all dMRI indices and clinical measures, the hippocampal-cingulum and fornix (crus)/stria terminalis regions most consistently showed strong associations with clinical impairment, while FADTI was the weakest of the five indices for detecting associations.
Journal ArticleDOI
Mapping Subcortical Brain Alterations in 22q11.2 Deletion Syndrome : Effects of Deletion Size and Convergence With Idiopathic Neuropsychiatric Illness
Christopher R.K. Ching,Boris A. Gutman,Daqiang Sun,Julio E Villalon Reina,Anjanibhargavi Ragothaman,Dmitry Isaev,Artemis Zavaliangos-Petropulu,Amy Lin,Rachel K. Jonas,Leila Kushan,Laura Pacheco-Hansen,Ariana Vajdi,Jennifer K. Forsyth,Maria Jalbrzikowski,Geor Bakker,Therese van Amelsvoort,Kevin M. Antshel,Wanda Fremont,Wendy R. Kates,Linda E. Campbell,Kathryn McCabe,Michael C. Craig,Eileen Daly,Maria Gudbrandsen,Clodagh M. Murphy,Declan G. Murphy,Kieran C. Murphy,Ania Fiksinski,Sanne Koops,Jacob A. S. Vorstman,Jacob A. S. Vorstman,Jacob A. S. Vorstman,T. Blaine Crowley,Beverly S. Emanuel,Raquel E. Gur,Donna M. McDonald-McGinn,David R. Roalf,Kosha Ruparel,J. Eric Schmitt,Elaine H. Zackai,Courtney A. Durdle,Naomi J. Goodrich-Hunsaker,Tony J. Simon,Anne S. Bassett,Anne S. Bassett,Nancy J. Butcher,Eva W.C. Chow,Fidel Vila-Rodriguez,Adam C. Cunningham,Joanne L. Doherty,David Edmund Johannes Linden,Hayley Moss,Michael John Owen,Marianne Bernadette van den Bree,Nicolas Crossley,Gabriela M. Repetto,Paul M. Thompson,Carrie E. Bearden +57 more
TL;DR: In the largest neuroimaging study of 22q11DS to date, the authors found widespread alterations to subcortical brain structures, which were affected by deletion size and psychotic illness.
Journal ArticleDOI
The ENIGMA Stroke Recovery Working Group: Big data neuroimaging to study brain-behavior relationships after stroke
Sook-Lei Liew,Artemis Zavaliangos-Petropulu,Neda Jahanshad,Catherine E. Lang,Kathryn S Hayward,Kathryn S Hayward,Keith R. Lohse,Julia M. Juliano,Francesca Assogna,Lee A. Baugh,Anup K. Bhattacharya,Bavrina Bigjahan,Michael R. Borich,Lara A. Boyd,Amy Brodtmann,Cathrin M. Buetefisch,Winston D. Byblow,Jessica M. Cassidy,Adriana Bastos Conforto,R. Cameron Craddock,Michael A. Dimyan,Adrienne N. Dula,Elsa Ermer,Mark R Etherton,Kelene A. Fercho,Kelene A. Fercho,Chris M. Gregory,Shahram Hadidchi,Jess A. Holguin,Darryl Hwang,Simon Jung,Steven A. Kautz,Steven A. Kautz,Mohamed Salah Khlif,Nima Khoshab,Bokkyu Kim,Bokkyu Kim,Hosung Kim,Amy Kuceyeski,Martin Lotze,Bradley J. MacIntosh,Bradley J. MacIntosh,John L. Margetis,Feroze B. Mohamed,Fabrizio Piras,Ander Ramos-Murguialday,Geneviève Richard,Geneviève Richard,Pamela Roberts,Andrew D. Robertson,Jane M. Rondina,Natalia S. Rost,Nerses Sanossian,Nicolas Schweighofer,Na Jin Seo,Na Jin Seo,Mark S. Shiroishi,Surjo R. Soekadar,Surjo R. Soekadar,Gianfranco Spalletta,Cathy M. Stinear,Anisha Suri,Wai Kwong W. Tang,Gregory T. Thielman,Daniela Vecchio,Arno Villringer,Arno Villringer,Arno Villringer,Nick S. Ward,Emilio Werden,Lars T. Westlye,Lars T. Westlye,Carolee J. Winstein,George F. Wittenberg,George F. Wittenberg,Kristin A. Wong,Chunshui Yu,Steven C. Cramer,Paul M. Thompson +78 more
TL;DR: The processes for scalable data intake and preprocessing, multisite data harmonization, and large‐scale stroke lesion analysis are described, and challenges unique to this type of big data collaboration in stroke research are discussed.
Journal ArticleDOI
Fractional anisotropy derived from the diffusion tensor distribution function boosts power to detect Alzheimer's disease deficits.
Talia M. Nir,Neda Jahanshad,Julio E. Villalon-Reina,Dmitry Isaev,Artemis Zavaliangos-Petropulu,Liang Zhan,Alex D. Leow,Clifford R. Jack,Michael W. Weiner,Paul M. Thompson +9 more
TL;DR: In diffusion MRI (dMRI), fractional anisotropy derived from the single‐tensor model (FADTI) is the most widely used metric to characterize white matter (WM) microarchitecture, despite known limitations in regions with crossing fibers.