Cerebral Glucose Metabolism of Parkinson’s Disease Patients with Mild Cognitive Impairment

2010 ◽  
Vol 64 (2) ◽  
pp. 65-73 ◽  
Author(s):  
Chul Hyoung Lyoo ◽  
Yong Jeong ◽  
Young Hoon Ryu ◽  
Juha O. Rinne ◽  
Myung Sik Lee
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Glucose Metabolism ◽  
Cerebral Glucose Metabolism

Distinct patterns of regional cerebral glucose metabolism in Parkinson's disease with and without mild cognitive impairment

2009 ◽  
Vol 24 (6) ◽  
pp. 854-862 ◽  
Author(s):  
Yoshiyuki Hosokai ◽  
Yoshiyuki Nishio ◽  
Kazumi Hirayama ◽  
Atsushi Takeda ◽  
Toshiyuki Ishioka ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Glucose Metabolism ◽  
Cerebral Glucose Metabolism ◽  
Regional Cerebral Glucose Metabolism

scholarly journals Cerebral glucose metabolism and cognitive impairment in tremor-dominant and akinetic-rigid subtypes of Parkinson’s disease

2020 ◽  
Vol 12 (6) ◽  
pp. 42-48
Author(s):  
I. V. Miliukhina ◽  
Yu. G. Khomenko ◽  
E. V. Gracheva ◽  
G. V. Kataeva ◽  
E. A. Gromova
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Glucose Metabolism ◽  
Standard Procedure ◽  
General Pattern ◽  
Cingulate Cortex ◽  
Cognitive Status ◽  
Cerebral Glucose Metabolism ◽  
Anterior Cingulate

Parkinson’s disease (PD) is a disease characterized by marked phenotypic heterogeneity. The akinetic-rigid (AR) and tremor-dominant (TD) types of PD differ not only in motor manifestations, but also in the severity of non-motor symptoms, including cognitive impairment (CI). It is the PD heterogeneity study that can achieve the task of creating a modern personalized therapy for this disease.Objective: to study the characteristics of cerebral glucose metabolism in CI in patients with AR and TD PD.Patients and methods. Examinations were made in 69 patients with PD (the TD and AR subtypes were in 23 and 46 patients, respectively). Their cognitive status was assessed using the Mini-mental State Examination, the Montreal Cognitive Assessment, the Frontal Assessment Battery, and the Clock Drawing Test. 18F-fluorodeoxyglucose positron emission tomography was performed according to the standard procedure; glucose metabolism rate (GMR) was determined in different Brodmann areas (BA).Results and discussion. GMR in the frontal areas (right BA 6, 8, 9, 46 and left BA 46) was lower in the AR group that in the TD one (p< 0.05). The severity of CI in the AR group correlated with GMR in the parietal and posterior cingulate cortex (BA 7, 23, 26, 29, 30, and 31). The TD group showed correlations of the values of cognitive tests mainly with GMR in the frontal and anterior cingulate cortex (BA 6, 8–11, 24), and in the parietal (BA 7) and temporal cortices (BA 22). The only area, in which GMR correlated with cognitive performance in both groups, was BA 7.Conclusion. Two distinct patterns of GMR were identified in AR and TD within the general pattern of decreased cerebral glucose metabolism, which was specific for CI in PD. The findings may suggest that there are two different CI pathogenetic mechanisms associated with the clinical subtypes of PD.

Assessment of White Matter Lesions in Parkinson's Disease: Voxel-based Analysis and Tract-based Spatial Statistics Analysis of Parkinson's Disease with Mild Cognitive Impairment

2020 ◽  
Vol 17 (4) ◽  
pp. 480-486
Author(s):  
Wei Pu ◽  
Xudong Shen ◽  
Mingming Huang ◽  
Zhiqian Li ◽  
Xianchun Zeng ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
White Matter ◽  
Corpus Callosum ◽  
Fractional Anisotropy ◽  
Spatial Statistics ◽  
Diffusion Tensor ◽  
Tract Based Spatial Statistics

Objective: Application of diffusion tensor imaging (DTI) to explore the changes of FA value in patients with Parkinson's disease (PD) with mild cognitive impairment. Methods: 27 patients with PD were divided into PD with mild cognitive impairment (PD-MCI) group (n = 7) and PD group (n = 20). The original images were processed using voxel-based analysis (VBA) and tract-based spatial statistics (TBSS). Results: The average age of pd-mci group was longer than that of PD group, and the course of disease was longer than that of PD group. Compared with PD group, the voxel based analysis-fractional anisotropy (VBA-FA) values of PD-MCI group decreased in the following areas: bilateral frontal lobe, bilateral temporal lobe, bilateral parietal lobe, bilateral subthalamic nucleus, corpus callosum, and gyrus cingula. Tract-based spatial statistics-fractional anisotropy (TBSS-FA) values in PD-MCI group decreased in bilateral corticospinal tract, anterior cingulum, posterior cingulum, fornix tract, bilateral superior thalamic radiation, corpus callosum(genu, body and splenium), bilateral uncinate fasciculus, bilateral inferior longitudinal fasciculus, bilateral superior longitudinal fasciculus, bilateral superior fronto-occipital fasciculus, bilateral inferior fronto-occipital fasciculus, and bilateral parietal-occipital tracts. The mean age of onset in the PD-MCI group was greater than that in the PD group, and the disease course was longer than that in the PD group. Conclusion: DTI-based VBA and TBSS post-processing methods can detect abnormalities in multiple brain areas and white matter fiber tracts in PD-MCI patients. Impairment of multiple cerebral cortex and white matter fiber pathways may be an important causes of cognitive dysfunction in PD-MCI.

scholarly journals Donepezil for mild cognitive impairment in Parkinson’s disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kyoungwon Baik ◽  
Seon Myeong Kim ◽  
Jin Ho Jung ◽  
Yang Hyun Lee ◽  
Seok Jong Chung ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Treatment Group ◽  
Outcome Measures ◽  
Rating Scale ◽  
Secondary Outcome ◽  
Control Group ◽  
Significant Difference

AbstractWe investigated the efficacy of donepezil for mild cognitive impairment in Parkinson’s disease (PD-MCI). This was a prospective, non-randomized, open-label, two-arm study. Eighty PD-MCI patients were assigned to either a treatment or control group. The treatment group received donepezil for 48 weeks. The primary outcome measures were the Korean version of Mini-Mental State Exam and Montreal Cognitive Assessment scores. Secondary outcome measures were the Clinical Dementia Rating, Unified Parkinson’s Disease Rating Scale part III, Clinical Global Impression scores. Progression of dementia was assessed at 48-week. Comprehensive neuropsychological tests and electroencephalography (EEG) were performed at baseline and after 48 weeks. The spectral power ratio of the theta to beta2 band (TB2R) in the electroencephalogram was analyzed. There was no significant difference in the primary and secondary outcome measures between the two groups. However, the treatment group showed a significant decrease in TB2R at bilateral frontotemporoparietal channels compared to the control group. Although we could not demonstrate improvements in the cognitive functions, donepezil treatment had a modulatory effect on the EEG in PD-MCI patients. EEG might be a sensitive biomarker for detecting changes in PD-MCI after donepezil treatment.

Analyses of Visuospatial and Visuoperceptual Errors as Predictors of Dementia in Parkinson’s Disease Patients with Subjective Cognitive Decline and Mild Cognitive Impairment

2020 ◽  
pp. 1-11
Author(s):  
Iván Galtier ◽  
Antonieta Nieto ◽  
María Mata ◽  
Jesús N. Lorenzo ◽  
José Barroso
Keyword(s):  
Risk Factors ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Poor Performance ◽  
Subjective Cognitive Decline ◽  
Independent Risk Factors

ABSTRACT Objective: Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in Parkinson’s disease (PD) are considered as the risk factors for dementia (PDD). Posterior cortically based functions, such as visuospatial and visuoperceptual (VS-VP) processing, have been described as predictors of PDD. However, no investigations have focused on the qualitative analysis of the Judgment of Line Orientation Test (JLOT) and the Facial Recognition Test (FRT) in PD-SCD and PD-MCI. The aim of this work was to study the VS-VP errors in JLOT and FRT. Moreover, these variables are considered as predictors of PDD. Method: Forty-two PD patients and 19 controls were evaluated with a neuropsychological protocol. Patients were classified as PD-SCD and PD-MCI. Analyses of errors were conducted following the procedure described by Ska, Poissant, and Joanette (1990). Follow-up assessment was conducted to a mean of 7.5 years after the baseline. Results: PD-MCI patients showed a poor performance in JLOT and FRT total score and made a greater proportion of severe intraquadrant (QO2) and interquadrant errors (IQO). PD-SCD showed a poor performance in FRT and made mild errors in JLOT. PD-MCI and QO2/IQO errors were independent risk factors for PDD during the follow-up. Moreover, the combination of both PD-MCI diagnosis and QO2/IQO errors was associated with a greater risk. Conclusions: PD-MCI patients presented a greater alteration in VS-VP processing observable by the presence of severe misjudgments. PD-SCD patients also showed mild difficulties in VS-SP functions. Finally, QO2/IQO errors in PD-MCI are a useful predictor of PDD, more than PD-MCI diagnosis alone.

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