scholarly journals MDS task force on mild cognitive impairment in Parkinson's disease: Critical review of PD-MCI

2011 ◽  
Vol 26 (10) ◽  
pp. 1814-1824 ◽  
Author(s):  
Irene Litvan ◽  
Dag Aarsland ◽  
Charles H. Adler ◽  
Jennifer G. Goldman ◽  
Jaime Kulisevsky ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Critical Review ◽  
Task Force

scholarly journals The Diagnostic Accuracy of Parkinson's Disease Mild Cognitive Impairment Battery Using the Movement Disorder Society Task Force Criteria

2016 ◽  
Vol 4 (2) ◽  
pp. 237-244 ◽  
Author(s):  
Ondrej Bezdicek ◽  
Tomas Nikolai ◽  
Jiri Michalec ◽  
Filip Růžička ◽  
Petra Havránková ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Diagnostic Accuracy ◽  
Movement Disorder ◽  
Task Force ◽  
Movement Disorder Society

Assessing the utility of the Movement Disorder Society Task Force Level 1 diagnostic criteria for mild cognitive impairment in Parkinson's disease

2015 ◽  
Vol 21 (1) ◽  
pp. 31-35 ◽  
Author(s):  
Jennifer Y.Y. Szeto ◽  
Loren Mowszowski ◽  
Moran Gilat ◽  
Courtney C. Walton ◽  
Sharon L. Naismith ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Movement Disorder ◽  
Diagnostic Criteria ◽  
Task Force ◽  
Force Level ◽  
Level 1 ◽  
Movement Disorder Society

P3-452: THE TABCAT BRAIN HEALTH ASSESSMENT QUICKLY AND ACCURATELY DETECTS LEVEL II MILD COGNITIVE IMPAIRMENT IN PARKINSON'S DISEASE BY MDS TASK FORCE CRITERIA

2019 ◽  
Vol 15 ◽  
pp. P1136-P1137
Author(s):  
Suchanan Kanjanapong ◽  
Marie Altendahl ◽  
Elena Tsoy ◽  
Sabrina Erlhoff ◽  
Ethan Brown ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Task Force ◽  
Health Assessment ◽  
Brain Health ◽  
Level Ii

scholarly journals Neuropsychiatric Symptoms in Parkinson’s Disease with and without Mild Cognitive Impairment

2019 ◽  
Vol 34 (7) ◽  
pp. 1238-1238
Author(s):  
Y Bocanegra ◽  
A Baena ◽  
J Carmona ◽  
D C Aguirre ◽  
D Pineda ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Rating Scale ◽  
Task Force ◽  
Neuropsychiatric Symptoms ◽  
Disease Stage ◽  
Disease Rating ◽  
Level I

Abstract Objective Neuropsychiatric symptoms (NPS) are common clinical features of patients with Parkinson’s disease (PD). However, such symptoms in non-demented PD patients have scarcely been investigated. To address this issue, we describe the neuropsychiatric profile in PD patients with and without Mild Cognitive Impairment (MCI). Participants and Method Eighty non-demented PD patients were included. The patients were divided into two groups depending on the presence or absence of MCI (PD-MCI and PD-nMCI, respectively). MCI diagnosis was made according to the Movement Disorder Society Task Force Level I criteria. NPS were evaluated using the Neuropsychiatric Inventory (NPI). For each domain, the presence and magnitude of symptoms (frequency x severity) was calculated. The total NPI score was also computed, in which higher scores suggest greater behavioral disturbance. Results PD-nMCI (n = 59, 74%) and PD-MCI (n = 21, 26%) groups were similar in the disease stage and years since diagnosis. In contrast with the PD-nMCI group, participants in the PD-MCI group were older. Fourteen PD-MCI (66%) and 45 PD-nMCI (76%) patients reported at least one neuropsychiatric symptom in the previous month. In both groups, the most frequent NPS were sleep disorders, depression, anxiety, apathy, irritability, and disinhibition. Additionally, the proportion of these symptoms between groups did not differ significantly (p > 0.05). There was only a tendency of greater score in the disinhibition subscale in PD-MCI group (p < 0.02). In both groups, NPS were not associated with clinical variables (years since diagnosis, Unified Parkinson's Disease Rating Scale -III) after adjusting for age. Conclusions Preliminary findings suggest that NPS are frequent in PD patients independent of the degree of cognitive impairment, and they may encompass non-motor features of the clinical spectrum of the disease. Further longitudinal investigations are needed to determine whether such symptoms may predict the cognitive decline in these patients.

scholarly journals Defining optimal cutoff scores for cognitive impairment using Movement Disorder Society Task Force criteria for mild cognitive impairment in Parkinson's disease

2013 ◽  
Vol 28 (14) ◽  
pp. 1972-1979 ◽  
Author(s):  
Jennifer G. Goldman ◽  
Samantha Holden ◽  
Bryan Bernard ◽  
Bichun Ouyang ◽  
Christopher G. Goetz ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Movement Disorder ◽  
Task Force ◽  
Optimal Cutoff ◽  
Cutoff Scores ◽  
Movement Disorder Society

scholarly journals Diagnostic criteria for mild cognitive impairment in Parkinson's disease: Movement Disorder Society Task Force guidelines

2012 ◽  
Vol 27 (3) ◽  
pp. 349-356 ◽  
Author(s):  
Irene Litvan ◽  
Jennifer G. Goldman ◽  
Alexander I. Tröster ◽  
Ben A. Schmand ◽  
Daniel Weintraub ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Movement Disorder ◽  
Diagnostic Criteria ◽  
Task Force ◽  
Movement Disorder Society

Neuropsychological Features of Mild Cognitive Impairment in Parkinson’s Disease: A Critical Review of the Literature.

2014 ◽  
Vol 2 (2) ◽  
pp. 100-114
Author(s):  
Davide Maria Cammisuli ◽  
◽  
Emanuela Castro ◽  
Marco Timpano Sportiello
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Critical Review ◽  
Review Of The Literature

An assessment of Movement Disorder Society Task Force diagnostic criteria for mild cognitive impairment in Parkinson's disease

2017 ◽  
Vol 25 (1) ◽  
pp. 148-153 ◽  
Author(s):  
P. Uysal-Cantürk ◽  
H. A. Hanağası ◽  
B. Bilgiç ◽  
H. Gürvit ◽  
M. Emre
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Movement Disorder ◽  
Diagnostic Criteria ◽  
Task Force ◽  
Movement Disorder Society

Effective Connectivity in the Limbic System in Parkinson's Disease with Mild Cognitive Impairment

2019 ◽  
Author(s):  
Binyin Li ◽  
Liche Zhou ◽  
Wenyan Kang ◽  
Lina Zhang ◽  
Guanyu Ye ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Limbic System ◽  
Effective Connectivity

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.

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