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The identification and cognitive correlation of perfusion patterns measured with arterial spin labeling MRI in Alzheimer’s disease
The identification and cognitive correlation of perfusion patterns measured with arterial spin labeling MRI in Alzheimer’s disease
- Source :
- Alzheimer's Research & Therapy. 15
- Publication Year :
- 2023
- Publisher :
- Springer Science and Business Media LLC, 2023.
-
Abstract
- Background Vascular dysfunction, including cerebral hypoperfusion, plays an important role in the pathogenesis and progression of Alzheimer’s disease (AD), independent of amyloid and tau pathology. We established an AD-related perfusion pattern (ADRP) measured with arterial spin labeling (ASL) MRI using multivariate spatial covariance analysis. Methods We obtained multimodal MRI including pseudo-continuous ASL and neurocognitive testing in a total of 55 patients with a diagnosis of mild to moderate AD supported by amyloid PET and 46 normal controls (NCs). An ADRP was established from an identification cohort of 32 patients with AD and 32 NCs using a multivariate analysis method based on scaled subprofile model/principal component analysis, and pattern expression in individual subjects was quantified for both the identification cohort and a validation cohort (23 patients with AD and 14 NCs). Subject expression score of the ADRP was then used to assess diagnostic accuracy and cognitive correlations in AD patients and compared with global and regional cerebral blood flow (CBF) in specific areas identified from voxel-based univariate analysis. Results The ADRP featured negative loading in the bilateral middle and posterior cingulate and precuneus, inferior parietal lobule, and frontal areas, and positive loading in the right cerebellum and bilateral basal areas. Subject expression score of the ADRP was significantly elevated in AD patients compared with NCs (P Conclusions We have reported a characteristic perfusion pattern associated with AD using ASL MRI. Subject expression score of this spatial covariance pattern is a promising MRI biomarker for the identification and monitoring of AD.
- Subjects :
- Neurology
Cognitive Neuroscience
Neurology (clinical)
Subjects
Details
- ISSN :
- 17589193
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Alzheimer's Research & Therapy
- Accession number :
- edsair.doi...........e5f59917718e29a73af873eba47dc972
- Full Text :
- https://doi.org/10.1186/s13195-023-01222-9