Relationship Between the Japanese Version of the Montreal Cognitive Assessment and PET Imaging in Subjects with Mild Cognitive Impairment

2019 ◽  
Vol 16 (9) ◽  
pp. 852-860 ◽  
Author(s):  
Atsuko Eguchi ◽  
Noriyuki Kimura ◽  
Yasuhiro Aso ◽  
Kenichi Yabuuchi ◽  
Masato Ishibashi ◽  
...  

Background: The Montreal Cognitive Assessment (MoCA) test has high sensitivity and specificity for detecting mild cognitive impairment or early dementia. How the MoCA score relates to findings of positron emission tomography imaging, however, remains unclear. <p></p> Objective: This prospective study examined the relationship between the Japanese version of the MoCA (MoCA-J) test and brain amyloid deposition or cerebral glucose metabolism among subjects with mild cognitive impairment. <p></p> Methods: A total of 125 subjects with mild cognitive impairment underwent the MoCA-J test, and amyloid- and 18F-fluorodeoxyglucose- positron emission tomography. Linear correlation analysis and multiple linear regression analysis were conducted to investigate the relationship between the MoCA-J score and demographic characteristics, amyloid deposition, and cerebral glucose metabolism. Moreover, Statistical Parametric Mapping 8 was used for a voxel-wise regression analysis of the MoCA-J score and cerebral glucose metabolism. <p></p> Results: The MoCA-J score significantly correlated with age, years of education, and the Mini-Mental State Examination score. After adjusting for age, sex, and education, the MoCA-J score significantly correlated negatively with amyloid retention (β= -0.174, p= 0.031) and positively with cerebral glucose metabolism (β= 0.183, p= 0.044). Statistical Parametric Mapping showed that Japanese version of MoCA score correlated with glucose metabolism in the bilateral frontal and parietal lobes, and the left precuneus. <p></p> Conclusion: The total MoCA-J score correlated with amyloid deposition and frontal and parietal glucose metabolism in subjects with mild cognitive impairment. Our findings support the usefulness of the MoCA-J test for screening subjects at high risk for Alzheimer’s disease.

2021 ◽  
Author(s):  
Yong-lan Xiong ◽  
Joseph Therriault ◽  
Shu-jiang Ren ◽  
Xiao-jun Jing ◽  
Hua Zhang

Abstract The introduction of metabolomics makes it possible to study the characteristic changes of peripheral metabolism in Alzheimer’s disease (AD). Recent studies have found that the levels of valine are related to mild cognitive impairment (MCI) and AD, but its characteristics in MCI and AD need to be further clarified. A total of 786 participants from the Alzheimer’s Disease Neuroimaging Initiative-1 (ADNI-1) cohort were selected to evaluate the relationships between serum valine and cerebrospinal fluid (CSF) biomarkers, brain structure (magnetic resonance imaging, MRI), cerebral glucose metabolism (18F-fluorodeoxyglucose-positron emission tomography, FDG-PET), and cognitive declines, through different cognitive subgroups. We found that (1) serum valine was decreased in patients with AD compared with cognitive normal (CN) and stable MCI (sMCI), and in progressive MCI (pMCI) compared with CN; (2) serum valine was negatively correlated with CSF total tau (t-tau) and phosphorylated tau (p-tau) in pMCI; (3) serum valine significantly predicted conversion from MCI to AD; (4) serum valine was related to the rate of change of cerebral glucose metabolism during the follow-up period in pMCI. We speculated serum valine may be a peripheral biomarker of pMCI and AD, and its level predicts the progression of MCI to AD. Our study may help to reveal the metabolic changes during AD disease trajectory and its relationship to clinical phenotype.


2009 ◽  
Vol 24 (6) ◽  
pp. 854-862 ◽  
Author(s):  
Yoshiyuki Hosokai ◽  
Yoshiyuki Nishio ◽  
Kazumi Hirayama ◽  
Atsushi Takeda ◽  
Toshiyuki Ishioka ◽  
...  

2021 ◽  
Vol 18 ◽  
Author(s):  
Amir Ashraf-Ganjouei ◽  
Kamyar Moradi ◽  
Shahriar Faghani ◽  
AmirHussein Abdolalizadeh ◽  
Mohammadreza Khomeijani-Farahani ◽  
...  

Background: Mild cognitive impairment (MCI) is a state between normal cognition and dementia. However, MCI diagnosis does not necessarily guarantee the progression to dementia. Since no previous study investigated brain positron emission tomography (PET) imaging of MCI-- to-normal reversion, we provided PET imaging of MCI-to-normal reversion using the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Methods: We applied comprehensive neuropsychological criteria (NP criteria), consisting of mem- ory, language, and attention/executive function domains, to include patients with a baseline diagno- sis of MCI (n=613). According to the criteria, the year 1 status of the patients was categorized into three groups (reversion: n=105, stable MCI: n=422, conversion: n=86). Demographic, neuropsycho- logical, genetic, CSF, and cognition biomarker variables were compared between the groups. Addi- tionally, after adjustment for confounding variables, the deposition pattern of amyloid-β and cere- bral glucose metabolism were compared between three groups via AV45- and FDG-PET modali- ties, respectively. Results: MCI reversion rate was 17.1% during one year of follow-up. The reversion group had the lowest frequency of APOE ε4+ subjects, the highest CSF level of amyloid-β, and the lowest CSF levels of t-tau and p-tau. Neuropsychological assessments were also suggestive of better cognitive performance in the reversion group. Patients with reversion to normal state had higher glucose metabolism in bilateral angular and left middle/inferior temporal gyri, when compared to those with stable MCI state. Meanwhile, lower amyloid-β deposition at baseline was observed in the fron- tal and parietal regions of the reverted subjects. On the other hand, the conversion group showed lower cerebral glucose metabolism in bilateral angular and bilateral middle/inferior temporal gyri compared to the stable MCI group, whereas the amyloid-β accumulation was similar between the groups. Conclusions: This longitudinal study provides novel insight regarding the application of PET imag- ing in predicting MCI transition over time.


2018 ◽  
Vol 20 ◽  
pp. 286-296 ◽  
Author(s):  
Christopher M. Weise ◽  
Kewei Chen ◽  
Yinghua Chen ◽  
Xiaoying Kuang ◽  
Cary R. Savage ◽  
...  

2016 ◽  
Vol 12 ◽  
pp. P516-P517
Author(s):  
Felix Carbonell ◽  
Donald G. McLaren ◽  
Alex P. Zijdenbos ◽  
Barry J. Bedell

2009 ◽  
Vol 5 (4S_Part_1) ◽  
pp. P22-P22
Author(s):  
Il Han Choo ◽  
Dong Young Lee ◽  
Yu Kyeong Kim ◽  
Su Jin Kim ◽  
Jae Sung Lee ◽  
...  

2009 ◽  
Vol 5 (4S_Part_7) ◽  
pp. P198-P198 ◽  
Author(s):  
Il Han Choo ◽  
Dong Young Lee ◽  
Yu Kyeong Kim ◽  
Su Jin Kim ◽  
Jae Sung Lee ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document