B J MacIntosh1, W Swardfager2, A D Robertson3, E Tchistiakova4, M Saleem5, P I Oh6, N Herrmann7, B Stefanovic8, K L Lanctôt9. 1. From the Canadian Partnership for Stroke Recovery (B.J.M., W.S., A.D.R., E.T., N.H., B.S., K.L.L.) Physical Sciences (B.J.M., B.S.) Departments of Medical Biophysics (B.J.M., E.T., B.S.,) bmac@sri.utoronto.ca. 2. From the Canadian Partnership for Stroke Recovery (B.J.M., W.S., A.D.R., E.T., N.H., B.S., K.L.L.) Neuropsychopharmacology Research Group (W.S., M.S., N.H., K.L.L.), Sunnybrook Research Institute, Toronto, Ontario, Canada Pharmacology/Toxicology (K.L.L., W.S.). 3. From the Canadian Partnership for Stroke Recovery (B.J.M., W.S., A.D.R., E.T., N.H., B.S., K.L.L.). 4. From the Canadian Partnership for Stroke Recovery (B.J.M., W.S., A.D.R., E.T., N.H., B.S., K.L.L.) Departments of Medical Biophysics (B.J.M., E.T., B.S.,). 5. Neuropsychopharmacology Research Group (W.S., M.S., N.H., K.L.L.), Sunnybrook Research Institute, Toronto, Ontario, Canada. 6. Toronto Rehabilitation Institute (P.I.O., K.L.L.), Toronto, Ontario, Canada. 7. From the Canadian Partnership for Stroke Recovery (B.J.M., W.S., A.D.R., E.T., N.H., B.S., K.L.L.) Neuropsychopharmacology Research Group (W.S., M.S., N.H., K.L.L.), Sunnybrook Research Institute, Toronto, Ontario, Canada Psychiatry (N.H., K.L.L.), University of Toronto, Toronto, Ontario, Canada. 8. From the Canadian Partnership for Stroke Recovery (B.J.M., W.S., A.D.R., E.T., N.H., B.S., K.L.L.) Physical Sciences (B.J.M., B.S.) Departments of Medical Biophysics (B.J.M., E.T., B.S.,). 9. From the Canadian Partnership for Stroke Recovery (B.J.M., W.S., A.D.R., E.T., N.H., B.S., K.L.L.) Neuropsychopharmacology Research Group (W.S., M.S., N.H., K.L.L.), Sunnybrook Research Institute, Toronto, Ontario, Canada Pharmacology/Toxicology (K.L.L., W.S.) Psychiatry (N.H., K.L.L.), University of Toronto, Toronto, Ontario, Canada Toronto Rehabilitation Institute (P.I.O., K.L.L.), Toronto, Ontario, Canada.
Abstract
BACKGROUND AND PURPOSE: Arterial transit time is the time needed for blood to travel from large arteries to capillaries, as estimated from arterial spin-labeling MR imaging. The purpose of this study was to determine whether vascular risk factors and cognitive performance are related to regional differences in cerebral arterial transit time in patients with coronary artery disease who are at risk for cognitive decline. MATERIALS AND METHODS: Arterial transit time was estimated from multiple postlabel delay pseudocontinuous arterial spin-labeling images obtained from 29 men with coronary artery disease. Tests of memory, attention, processing speed, and executive function were administered. Principal component analysis was used to create separate models of cognition and vascular risk, which were related to brain regions through voxelwise analyses of arterial transit time maps. RESULTS: Principal component analysis identified 2 components of vascular risk: 1) "pressor" (age, systolic blood pressure, and pulse pressure) and 2) "obesity" (body fat percentage and body mass index). Obesity was inversely related to arterial transit time in the posterior cingulate, precuneus, lateral occipital cortices, middle temporal gyrus, and frontal pole (P corrected < .05), whereas pressor was not significant. Cognitive scores were factored into a single component. Poor performance was inversely related to precuneus arterial transit time (P corrected < .05). The average arterial transit time in regions identified by obesity was associated with poorer cognitive function (r(2) = 0.21, t = -2.65, P = .01). CONCLUSIONS: Altered cerebral hemodynamics, notably in nodal structures of the default mode network, may be one way that vascular risk factors impact cognition in patients with coronary artery disease.
BACKGROUND AND PURPOSE: Arterial transit time is the time needed for blood to travel from large arteries to capillaries, as estimated from arterial spin-labeling MR imaging. The purpose of this study was to determine whether vascular risk factors and cognitive performance are related to regional differences in cerebral arterial transit time in patients with coronary artery disease who are at risk for cognitive decline. MATERIALS AND METHODS: Arterial transit time was estimated from multiple postlabel delay pseudocontinuous arterial spin-labeling images obtained from 29 men with coronary artery disease. Tests of memory, attention, processing speed, and executive function were administered. Principal component analysis was used to create separate models of cognition and vascular risk, which were related to brain regions through voxelwise analyses of arterial transit time maps. RESULTS: Principal component analysis identified 2 components of vascular risk: 1) "pressor" (age, systolic blood pressure, and pulse pressure) and 2) "obesity" (body fat percentage and body mass index). Obesity was inversely related to arterial transit time in the posterior cingulate, precuneus, lateral occipital cortices, middle temporal gyrus, and frontal pole (P corrected < .05), whereas pressor was not significant. Cognitive scores were factored into a single component. Poor performance was inversely related to precuneus arterial transit time (P corrected < .05). The average arterial transit time in regions identified by obesity was associated with poorer cognitive function (r(2) = 0.21, t = -2.65, P = .01). CONCLUSIONS: Altered cerebral hemodynamics, notably in nodal structures of the default mode network, may be one way that vascular risk factors impact cognition in patients with coronary artery disease.
Authors: Ling Zheng; Wendy J Mack; Helena C Chui; Lara Heflin; Dan Mungas; Bruce Reed; Charles DeCarli; Michael W Weiner; Joel H Kramer Journal: J Am Geriatr Soc Date: 2012-01-27 Impact factor: 5.562
Authors: Bradley J MacIntosh; Nicola Filippini; Michael A Chappell; Mark W Woolrich; Clare E Mackay; Peter Jezzard Journal: Magn Reson Med Date: 2010-03 Impact factor: 4.668
Authors: Walter Swardfager; Nathan Herrmann; Yekta Dowlati; Paul Oh; Alex Kiss; Krista L Lanctôt Journal: J Rehabil Med Date: 2008-03 Impact factor: 2.912
Authors: R P H Bokkers; P J van Laar; K C C van de Ven; L J Kapelle; C J M Klijn; J Hendrikse Journal: AJNR Am J Neuroradiol Date: 2008-08-13 Impact factor: 3.825
Authors: Vladimir Hachinski; Costantino Iadecola; Ron C Petersen; Monique M Breteler; David L Nyenhuis; Sandra E Black; William J Powers; Charles DeCarli; Jose G Merino; Raj N Kalaria; Harry V Vinters; David M Holtzman; Gary A Rosenberg; Anders Wallin; Martin Dichgans; John R Marler; Gabrielle G Leblanc Journal: Stroke Date: 2006-08-17 Impact factor: 7.914
Authors: Alastair J S Webb; Michela Simoni; Sara Mazzucco; Wilhelm Kuker; Ursula Schulz; Peter M Rothwell Journal: Stroke Date: 2012-08-23 Impact factor: 7.914
Authors: Henri Jmm Mutsaerts; Jan Petr; Lena Václavů; Jan W van Dalen; Andrew D Robertson; Matthan W Caan; Mario Masellis; Aart J Nederveen; Edo Richard; Bradley J MacIntosh Journal: J Cereb Blood Flow Metab Date: 2017-01-06 Impact factor: 6.200
Authors: Moss Y Zhao; Audrey P Fan; David Yen-Ting Chen; Yosuke Ishii; Mohammad Mehdi Khalighi; Michael Moseley; Gary K Steinberg; Greg Zaharchuk Journal: J Cereb Blood Flow Metab Date: 2022-03-02 Impact factor: 6.960
Authors: Ivonne Suridjan; Nathan Herrmann; Alex Adibfar; Mahwesh Saleem; Ana Andreazza; Paul I Oh; Krista L Lanctôt Journal: J Alzheimers Dis Date: 2017 Impact factor: 4.472
Authors: Zahra Shirzadi; Andrew D Robertson; Arron W Metcalfe; Sarah Duff-Canning; Connie Marras; Anthony E Lang; Mario Masellis; Bradley J MacIntosh Journal: Neuroimage Clin Date: 2018-07-23 Impact factor: 4.881
Authors: Bradley J MacIntosh; Zahra Shirzadi; Sarah Atwi; John A Detre; Sudipto Dolui; Robert Nick Bryan; Lenore J Launer; Walter Swardfager Journal: Hum Brain Mapp Date: 2019-10-25 Impact factor: 5.038