2014
DOI: 10.1038/jcbfm.2013.241
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Cerebral Blood Flow is an Earlier Indicator of Perfusion Abnormalities than Cerebral Blood Volume in Alzheimer's Disease

Abstract: The purpose of this study was to elucidate whether cerebral blood flow (CBF) can better characterize perfusion abnormalities in predementia stages of Alzheimer's disease (AD) than cerebral blood volume (CBV) and whether cortical atrophy is more associated with decreased CBV or with decreased CBF. We compared measurements of CBV, CBF, and mean cortical thickness obtained from magnetic resonance images in a group of healthy controls, patients with mild cognitive impairment (MCI) who converted to AD after 2 years… Show more

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Cited by 68 publications
(63 citation statements)
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“…Both blood flow and volume abnormalities were previously found in AD converters, 11,49 highlighting their mutual sensitivity to pathogenic mechanisms. However, rCBF may be more affected by early ADrelated pathological mechanisms than rCBV.…”
mentioning
confidence: 99%
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“…Both blood flow and volume abnormalities were previously found in AD converters, 11,49 highlighting their mutual sensitivity to pathogenic mechanisms. However, rCBF may be more affected by early ADrelated pathological mechanisms than rCBV.…”
mentioning
confidence: 99%
“…6,8,9 By contrast, gray matter atrophy is predominant in medial-temporal regions. [10][11][12] Hence, there appears to be an early dissociation between temporo-parietal hypoperfusion and medial-temporal atrophy. 13 Yet, the possibility that magnetic resonance imaging (MRI)-based biomarkers of gray matter structure and cerebral perfusion may provide complementary information in early disease detection remains unclear.…”
Section: Introductionmentioning
confidence: 99%
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“…The correct quantification of these parameters has several clinical applications, such as detection and assessment of ischemic stroke prior to treatment [3], characterization of multiple sclerosis lesions [7], tumor diagnosis [1,13,4,12,9,6] or as indicators on the progress of Alzheimer's disease [8]. As this technique is also widely used in preclinical studies [20,25,26,15], it is therefore interesting to have a tool that performs the quantification process in a fast and reliable way for research purposes.…”
Section: Introductionmentioning
confidence: 99%