Abhishek Jaywant1, Katharine Dunlop2, Lindsay W Victoria3, Lauren Oberlin3, Charles J Lynch4, Matteo Respino3, Amy Kuceyeski5, Matthew Scult6, Matthew J Hoptman7, Conor Liston4, Michael W O'Dell8, George S Alexopoulos3, Roy H Perlis9, Faith M Gunning10. 1. Department of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Department of Rehabilitation Medicine, Weill Cornell Medicine (AJ, MWO), New York, New York. 2. Department of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Department of Radiology, Weill Cornell Medicine (AK), New York, New York. 3. Department of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Weill Cornell Institute of Geriatric Psychiatry (LWV, LO, MR, GSA, FMG), New York, New York. 4. Department of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Feil Family Brain and Mind Research Institute, Weill Cornell Medicine (KD, CJL, AK, CL), New York, New York. 5. Feil Family Brain and Mind Research Institute, Weill Cornell Medicine (KD, CJL, AK, CL), New York, New York. 6. Department of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York. 7. Nathan Kline Institute for Psychiatric Research (MJH), New York, New York; Department of Psychiatry, New York University School of Medicine (MJH), New York, New York. 8. Department of Rehabilitation Medicine, Weill Cornell Medicine (AJ, MWO), New York, New York. 9. Harvard Medical School/Massachusetts General Hospital (RHP), Boston, Massachusetts. 10. Department of Psychiatry, Weill Cornell Medicine (AJ, KD, LWV, LO, CJL, MR, MS, CL, GSA, FMG), New York, New York; Weill Cornell Institute of Geriatric Psychiatry (LWV, LO, MR, GSA, FMG), New York, New York. Electronic address: fgd2002@med.cornell.edu.
Abstract
OBJECTIVE: White matter hyperintensities (WMH) are linked to deficits in cognitive functioning, including cognitive control and memory; however, the structural, and functional mechanisms are largely unknown. We investigated the relationship between estimated regional disruptions to white matter fiber tracts from WMH, resting state functional connectivity (RSFC), and cognitive functions in older adults. DESIGN: Cross-sectional study. SETTING: Community. PARTICIPANTS: Fifty-eight cognitively-healthy older adults. MEASUREMENTS: Tasks of cognitive control and memory, structural MRI, and resting state fMRI. We estimated the disruption to white matter fiber tracts from WMH and its impact on gray matter regions in the cortical and subcortical frontoparietal network, default mode network, and ventral attention network by overlaying each subject's WMH mask on a normative tractogram dataset. We calculated RSFC between nodes in those same networks. We evaluated the interaction of regional WMH burden and RSFC in predicting cognitive control and memory. RESULTS: The interaction of estimated regional WMH burden and RSFC in cortico-striatal regions of the default mode network and frontoparietal network was associated with delayed recall. Models predicting working memory, cognitive inhibition, and set-shifting were not significant. CONCLUSION: Findings highlight the role of network-level structural and functional alterations in resting state networks that are related to WMH and impact memory in older adults. Published by Elsevier Inc.
OBJECTIVE: White matter hyperintensities (WMH) are linked to deficits in cognitive functioning, including cognitive control and memory; however, the structural, and functional mechanisms are largely unknown. We investigated the relationship between estimated regional disruptions to white matter fiber tracts from WMH, resting state functional connectivity (RSFC), and cognitive functions in older adults. DESIGN: Cross-sectional study. SETTING: Community. PARTICIPANTS: Fifty-eight cognitively-healthy older adults. MEASUREMENTS: Tasks of cognitive control and memory, structural MRI, and resting state fMRI. We estimated the disruption to white matter fiber tracts from WMH and its impact on gray matter regions in the cortical and subcortical frontoparietal network, default mode network, and ventral attention network by overlaying each subject's WMH mask on a normative tractogram dataset. We calculated RSFC between nodes in those same networks. We evaluated the interaction of regional WMH burden and RSFC in predicting cognitive control and memory. RESULTS: The interaction of estimated regional WMH burden and RSFC in cortico-striatal regions of the default mode network and frontoparietal network was associated with delayed recall. Models predicting working memory, cognitive inhibition, and set-shifting were not significant. CONCLUSION: Findings highlight the role of network-level structural and functional alterations in resting state networks that are related to WMH and impact memory in older adults. Published by Elsevier Inc.
Entities:
Keywords:
Cognitive aging; cerebrovascular disease; magnetic resonance imaging; neuroimaging; neuropsychology
Authors: Joelle Zimmermann; Petra Ritter; Kelly Shen; Simon Rothmeier; Michael Schirner; Anthony R McIntosh Journal: Hum Brain Mapp Date: 2016-04-04 Impact factor: 5.038
Authors: Alexander Schaefer; Eva M Quinque; Judy A Kipping; Katrin Arélin; Elisabeth Roggenhofer; Stefan Frisch; Arno Villringer; Karsten Mueller; Matthias L Schroeter Journal: J Cereb Blood Flow Metab Date: 2014-04-30 Impact factor: 6.200
Authors: Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith Journal: Neuroimage Date: 2011-09-16 Impact factor: 6.556