Spatial variation of perfusion MRI reflects cognitive decline in mild cognitive impairment and early dementia

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作者
Catherine A. Morgan
Tracy R. Melzer
Reece P. Roberts
Kristina Wiebels
Henk J. M. M. Mutsaerts
Meg J. Spriggs
John C. Dalrymple-Alford
Tim J. Anderson
Nicholas J. Cutfield
Gerard Deib
Josef Pfeuffer
Donna Rose Addis
Ian J. Kirk
Lynette J. Tippett
机构
[1] The University of Auckland,School of Psychology and Centre for Brain Research
[2] Centre of Research Excellence,Brain Research New Zealand—Rangahau Roro Aotearoa
[3] Auckland UniServices Limited,Centre for Advanced MRI
[4] University of Otago,Department of Medicine
[5] NZ Brain Research Institute,School of Psychology, Speech and Hearing
[6] University of Canterbury,Department of Radiology and Nuclear Medicine
[7] Amsterdam University Medical Center,Department of Radiology and Nuclear Medicine
[8] University Hospital Ghent,Centre for Psychedelic Research, Division of Brain Sciences
[9] Imperial College London,Department of Medicine
[10] University of Otago,Department of Neuroradiology
[11] West Virginia University,Siemens Healthcare
[12] Application Development,Rotman Research Institute
[13] Baycrest Health Sciences,Department of Psychology
[14] University of Toronto,undefined
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摘要
Cerebral blood flow (CBF) measured with arterial spin labelling (ASL) magnetic resonance imaging (MRI) reflects cerebral perfusion, related to metabolism, and arterial transit time (ATT), related to vascular health. Our aim was to investigate the spatial coefficient of variation (sCoV) of CBF maps as a surrogate for ATT, in volunteers meeting criteria for subjective cognitive decline (SCD), amnestic mild cognitive impairment (MCI) and probable Alzheimer’s dementia (AD). Whole-brain pseudo continuous ASL MRI was performed at 3 T in 122 participants (controls = 20, SCD = 44, MCI = 45 and AD = 13) across three sites in New Zealand. From CBF maps that included all grey matter, sCoV progressively increased across each group with increased cognitive deficit. A similar overall trend was found when examining sCoV solely in the temporal lobe. We conclude that sCoV, a simple to compute imaging metric derived from ASL MRI, is sensitive to varying degrees of cognitive changes and supports the view that vascular health contributes to cognitive decline associated with Alzheimer’s disease.
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