M
Martha E. Shenton
Researcher at Brigham and Women's Hospital
Publications - 626
Citations - 48184
Martha E. Shenton is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Schizophrenia & Fractional anisotropy. The author has an hindex of 106, co-authored 586 publications receiving 44244 citations. Previous affiliations of Martha E. Shenton include Cambridge Health Alliance & Beth Israel Deaconess Medical Center.
Papers
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Journal ArticleDOI
White matter microstructure across brain-based biotypes for psychosis - findings from the bipolar-schizophrenia network for intermediate phenotypes.
Sinead Kelly,Sinead Kelly,Synthia Guimond,Ofer Pasternak,Olivia Lutz,Paulo Lizano,Suheyla Cetin-Karayumak,John A. Sweeney,Godfrey D. Pearlson,Brett A. Clementz,Jennifer E. McDowell,Carol A. Tamminga,Martha E. Shenton,Matcheri S. Keshavan +13 more
TL;DR: While significant diagnosis comparisons were observed, overall greater discrimination from healthy controls was observed for lower FAt in Biotype 1 and elevated FW in Biotsype 2, and between-group differences were modest, with one region (cerebral peduncle) showing a between-Biotype effect.
Book ChapterDOI
Two-Tensor Tractography Using a Constrained Filter
TL;DR: A technique to simultaneously estimate a weighted, positive-definite multi-tensor fiber model and perform tractography within a filter framework that significantly improves the angular resolution at crossings and branchings while consistently estimating the mixture weights.
Journal ArticleDOI
Understanding alterations in brain connectivity in attention-deficit/hyperactivity disorder using imaging connectomics.
TL;DR: The focus on brain networks (or connectomes), as opposed to single connections between brain regions, is a significant step forward because neural networks can be studied using new sophisticated models that open up avenues of research that make possible comprehensive analysis of structural and functional brain connectivity in normal individuals and in individuals with neuropsychiatric disorders.
Journal ArticleDOI
White matter changes in psychosis risk relate to development and are not impacted by the transition to psychosis.
Maria A Di Biase,Maria A Di Biase,Suheyla Cetin-Karayumak,Amanda E. Lyall,Amanda E. Lyall,Andrew Zalesky,Kang Ik Kevin Cho,Fan Zhang,Marek Kubicki,Marek Kubicki,Yogesh Rathi,Monica Lyons,Sylvain Bouix,Tashrif Billah,Alan Anticevic,Charlie Schleifer,Brendan Adkinson,Jie Lisa Ji,Zailyn Tamayo,Jean Addington,Carrie E. Bearden,Barbara A. Cornblatt,Barbara A. Cornblatt,Matcheri S. Keshavan,Daniel H. Mathalon,Daniel H. Mathalon,Thomas H. McGlashan,Diana O. Perkins,Diana O. Perkins,Kristen Cadenhead,Ming T. Tsuang,Scott W. Woods,William S. Stone,Martha E. Shenton,Martha E. Shenton,Tyrone D. Cannon,Ofer Pasternak +36 more
TL;DR: In this paper, the authors track the evolution of white matter abnormalities in a large, longitudinal cohort of clinical high risk individuals comprising the North American Prodrome Longitudinal Study (NAPLS-3) and fit linear mixed effects models to infer the impact of age and illness onset on variation in the fractional anisotropy of cellular tissue and the volume fraction of extracellular free water (FW).
Journal ArticleDOI
Abnormal Function in Dentate Nuclei Precedes the Onset of Psychosis: A Resting-State fMRI Study in High-Risk Individuals
Sheeba Arnold Anteraper,Sheeba Arnold Anteraper,Xavier Guell,Guusje Collin,Guusje Collin,Guusje Collin,Zhenghan Qi,Jingwen Ren,Atira Nair,Larry J. Seidman,Matcheri S. Keshavan,Tianhong Zhang,Yingying Tang,Huijun Li,Robert W. McCarley,Margaret A. Niznikiewicz,Martha E. Shenton,Martha E. Shenton,William S. Stone,Jijun Wang,Susan Whitfield-Gabrieli,Susan Whitfield-Gabrieli +21 more
TL;DR: In this article, a new parcellation of the dentate nuclei (DN), the major output nuclei of the cerebellum, which optimally divides the structure into three functional territories that contribute uniquely to default-mode, motor-salience, and visual processing networks as indexed by resting-state functional connectivity (RsFc).