MRI free water mediates the association between diffusion tensor image analysis along the perivascular space and executive function in four independent middle to aged cohorts.

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Title: MRI free water mediates the association between diffusion tensor image analysis along the perivascular space and executive function in four independent middle to aged cohorts.
Authors: Liu X; Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA.; Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA., Maillard P; Department of Neurology, University of California, Davis, Sacramento, California, USA., Barisano G; Department of Neurosurgery, Stanford University, Stanford, California, USA., Caprihan A; The Mind Research Network, Albuquerque, New Mexico, USA., Cen S; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA., Shao X; Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA., Jann K; Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA., Ringman JM; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA., Lu H; Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA., Arfanakis K; Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.; Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA., DeCarli CS; Department of Neurology, University of California, Davis, Sacramento, California, USA., Gold BT; Department of Neuroscience, University of Kentucky, Lexington, Kentucky, USA., Seshadri S; Population Health Sciences and Glenn Biggs Institute for Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA., Satizabal CL; Population Health Sciences and Glenn Biggs Institute for Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA., Beiser AS; Department of Biostatistics, School of Public Health, Boston University, Boston, Massachusetts, USA., Habes M; Neuroimage Analytics Laboratory and Glenn Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA., Kramer JH; Department of Neurology, University of California, San Francisco, California, USA., Stables L; Department of Neurology, University of California, San Francisco, California, USA., Singh H; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA., Helmer KG; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.; Department of Computer Science and AI Lab, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA., Greenberg SM; Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA., Wang DJJ; Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, California, USA.; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Corporate Authors: MarkVCID Consortium
Source: Alzheimer's & dementia : the journal of the Alzheimer's Association [Alzheimers Dement] 2025 Feb; Vol. 21 (2), pp. e14453. Date of Electronic Publication: 2024 Dec 30.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley & Sons, Ltd Country of Publication: United States NLM ID: 101231978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-5279 (Electronic) Linking ISSN: 15525260 NLM ISO Abbreviation: Alzheimers Dement Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1552-5279
DOI:10.1002/alz.14453