Probabilistic mapping and automated segmentation of human brainstem white matter bundles.

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Bibliographic Details
Title: Probabilistic mapping and automated segmentation of human brainstem white matter bundles.
Authors: Olchanyi MD; Neuroscience Statistics Research Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142., Schreier DR; Neuroscience Statistics Research Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114.; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114., Li J; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114.; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129., Maffei C; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114.; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129., Sorby-Adams A; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114., Kinney HC; Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA 02115., Healy BC; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114.; Department of Biostatistics, T.H Chan School of Public Health, Harvard University, Boston, MA 02115., Freeman HJ; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114.; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129., Shless J; Neuroscience Statistics Research Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139., Destrieux C; Imaging Brain and Neuropsychiatry iBraiN U1253, Université de Tours, INSERM, Tours 37032, France.; Centre Hospitalier Régional Universitaire de Tours, Tours 37044, France., Tregidgo H; Hawkes Institute, University College London, London WC1V 6LJ, United Kingdom., Iglesias JE; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129.; Hawkes Institute, University College London, London WC1V 6LJ, United Kingdom.; Computer Science and AI Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139., Brown EN; Neuroscience Statistics Research Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142.; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114.; The Picower Institute for Learning and Memory, Department of Brain and Cognitive Science, Massachusetts Institute of Technology, Cambridge, MA 02139., Edlow BL; Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA 02114.; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129.; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114.
Source: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2026 Feb 10; Vol. 123 (6), pp. e2509321123. Date of Electronic Publication: 2026 Feb 06.
Publication Type: Journal Article
Journal Info: Publisher: National Academy of Sciences Country of Publication: United States NLM ID: 7505876 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1091-6490 (Electronic) Linking ISSN: 00278424 NLM ISO Abbreviation: Proc Natl Acad Sci U S A Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1091-6490
DOI:10.1073/pnas.2509321123