Optimizing functional connectivity scanning conditions for predicting autistic traits.
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| Title: | Optimizing functional connectivity scanning conditions for predicting autistic traits. |
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| Authors: | Horien C; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.; MD-PhD Program, Yale School of Medicine, New Haven, CT, USA.; Penn Lifespan Informatics and Neuroimaging Center (PennLINC), University of Pennsylvania, Philadelphia, PA, USA., Mandino F; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA., Greene AS; MD-PhD Program, Yale School of Medicine, New Haven, CT, USA.; Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA., Shen X; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA., Powell K; Child Study Center, Yale School of Medicine, New Haven, CT, USA., Vernetti A; Child Study Center, Yale School of Medicine, New Haven, CT, USA., O'Connor D; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Adkinson BD; MD-PhD Program, Yale School of Medicine, New Haven, CT, USA., Tejavibulya L; Department of Radiology, Weill Cornell Medicine, New York, NY, USA., McPartland JC; Child Study Center, Yale School of Medicine, New Haven, CT, USA.; Department of Psychology, Yale University, New Haven, CT, United States., Volkmar FR; Child Study Center, Yale School of Medicine, New Haven, CT, USA.; Department of Psychology, Yale University, New Haven, CT, United States., Chun M; Department of Psychology, Yale University, New Haven, CT, United States.; Wu Tsai Institute, Yale University, New Haven, CT, USA., Chawarska K; Child Study Center, Yale School of Medicine, New Haven, CT, USA.; Department of Statistics and Data Science, Yale University, New Haven, CT, USA.; Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA., Lake EMR; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.; Wu Tsai Institute, Yale University, New Haven, CT, USA.; Department of Biomedical Engineering, Yale University, New Haven, CT, USA., Rosenberg MD; Department of Psychology, University of Chicago, Chicago, IL, USA.; Neuroscience Institute, University of Chicago, Chicago, IL, USA., Satterthwaite T; Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.; Penn Lifespan Informatics and Neuroimaging Center (PennLINC), University of Pennsylvania, Philadelphia, PA, USA.; Penn-CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, PA, USA., Scheinost D; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.; Child Study Center, Yale School of Medicine, New Haven, CT, USA.; Wu Tsai Institute, Yale University, New Haven, CT, USA.; Department of Statistics and Data Science, Yale University, New Haven, CT, USA.; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA., Finn ES; Department of Psychological and Brain Sciences, Dartmouth College, Dartmouth, NH, USA., Constable RT; MD-PhD Program, Yale School of Medicine, New Haven, CT, USA.; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.; Interdepartmental Neuroscience Program, Yale University, New Haven, CT, USA.; Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA. |
| Source: | MedRxiv : the preprint server for health sciences [medRxiv] 2026 Feb 09. Date of Electronic Publication: 2026 Feb 09. |
| Publication Type: | Journal Article; Preprint |
| Journal Info: | Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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