Using connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting.

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Title: Using connectome-based predictive models to reveal the systems standardized tests and clinical symptoms are reflecting.
Authors: Samardzija A; Department of Biomedical Engineering, Yale University, New Haven, CT, USA. anja.samardzija@yale.edu., Shen X; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA., Luo W; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Greene AS; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA.; MD-PhD program, Yale School of Medicine, New Haven, CT, USA.; Department of Psychiatry, Brigham & Women's Hospital, Boston, MA, USA., Mehta S; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA., Tokoglu F; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA., Arora J; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA., Woods SW; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA., Katz RB; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA., Sanacora G; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA., Srihari VH; Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA., Scheinost D; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA., Constable RT; Department of Biomedical Engineering, Yale University, New Haven, CT, USA. todd.constable@yale.edu.; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA. todd.constable@yale.edu.; Interdepartmental Neuroscience Program, Yale School of Medicine, New Haven, CT, USA. todd.constable@yale.edu.
Source: Nature communications [Nat Commun] 2026 Jun 16; Vol. 17 (1). Date of Electronic Publication: 2026 Jun 16.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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