scholarly journals Pattern of cerebral hyperperfusion in Alzheimer's disease and amnestic mild cognitive impairment using voxel-based analysis of 3D arterial spin-labeling imaging: initial experience

2014 ◽  
pp. 493 ◽  
Author(s):  
Bei Ding ◽  
Hua Wei Ling ◽  
Juan Huang ◽  
Huan Zhang ◽  
Tao Wang ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Amnestic Mild Cognitive Impairment ◽  
Initial Experience ◽  
Cerebral Hyperperfusion

scholarly journals Brain hemodynamic changes in amnestic mild cognitive impairment measured by pulsed arterial spin labeling

Aging ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 4348-4356
Author(s):  
Xiangbin Wang ◽  
Ding Ding ◽  
Qianhua Zhao ◽  
Xiaoniu Liang ◽  
Ling Peng ◽  
...  
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
Amnestic Mild Cognitive Impairment ◽  
Hemodynamic Changes

scholarly journals Arterial spin labeling versus 18F-FDG-PET to identify mild cognitive impairment

2020 ◽  
Vol 25 ◽  
pp. 102146 ◽  
Author(s):  
Sudipto Dolui ◽  
Zhengjun Li ◽  
Ilya M. Nasrallah ◽  
John A. Detre ◽  
David A. Wolk
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Fdg Pet ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
18F Fdg

scholarly journals Cerebral Blood Flow Predicts Conversion of Mild Cognitive Impairment into Alzheimer’s Disease and Cognitive Decline: An Arterial Spin Labeling Follow-up Study

2021 ◽  
pp. 1-13
Author(s):  
Wenna Duan ◽  
Grace D. Zhou ◽  
Arvind Balachandrasekaran ◽  
Ashish B. Bhumkar ◽  
Paresh B. Boraste ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Arterial Spin Labeling ◽  
Spin Labeling ◽  
The Right

Background: This is the first longitudinal study to assess regional cerebral blood flow (rCBF) changes during the progression from normal control (NC) through mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Objective: We aim to determine if perfusion MRI biomarkers, derived from our prior cross-sectional study, can predict the onset and cognitive decline of AD. Methods: Perfusion MRIs using arterial spin labeling (ASL) were acquired in 15 stable-NC, 14 NC-to-MCI, 16 stable-MCI, and 18 MCI/AD-to-AD participants from the Cardiovascular Health Study (CHS) cognition study. Group comparisons, predictions of AD conversion and time to conversion, and Modified Mini-Mental State Examination (3MSE) from rCBF were performed. Results: Compared to the stable-NC group: 1) the stable-MCI group exhibited rCBF decreases in the right temporoparietal (p = 0.00010) and right inferior frontal and insula (p = 0.0094) regions; and 2) the MCI/AD-to-AD group exhibited rCBF decreases in the bilateral temporoparietal regions (p = 0.00062 and 0.0035). Compared to the NC-to-MCI group, the stable-MCI group exhibited a rCBF decrease in the right hippocampus region (p = 0.0053). The baseline rCBF values in the posterior cingulate cortex (PCC) (p = 0.0043), bilateral superior medial frontal regions (BSMF) (p = 0.012), and left inferior frontal (p = 0.010) regions predicted the 3MSE scores for all the participants at follow-up. The baseline rCBF in the PCC and BSMF regions predicted the conversion and time to conversion from MCI to AD (p <  0.05; not significant after multiple corrections). Conclusion: We demonstrated the feasibility of ASL in detecting rCBF changes in the typical AD-affected regions and the predictive value of baseline rCBF on AD conversion and cognitive decline.

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