P3-281: KOREA VERSION OF THE MONTREAL COGNITIVE ASSESSMENT FOR PARKINSON'S DISEASE WITH MILD COGNITIVE IMPAIRMENT OR PARKINSON'S DISEASE DEMENTIA BY THREE CLASSIFY METHOD

ABSTRACTObjective The aim of the present study is to examine the accuracy of the Brazilian versions of the Montreal Cognitive Assessment (MoCA) and the Addenbrooke's Cognitive Examination-Revised (ACE-R) to screen for mild cognitive impairment (PDMCI) and dementia (PDD) in patients with Parkinson's disease (PD).Method Both scales were administered to a final convenience sample of 79 patients with PD. Patients were evaluated by a neurologist, a psychiatrist and a neuropsychologist using UPDRS, Hoehn and Yahr and Schwab and England scales, global deterioration scale, a psychiatric structured interview, Mattis Dementia Rating Scale and other cognitive tests.Results There were 32 patients with PDMCI and 17 patients with PDD. The MoCA and the ACE-R were able to discriminate patients with PDD from the others.Conclusion Both scales showed to be useful to screen for dementia but not for mild cognitive impairment in patients with PD.

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Application of the Chinese Version of the Montreal Cognitive Assessment-Basic for Assessing Mild Cognitive Impairment in Parkinson’s Disease

Brain Sciences ◽

10.3390/brainsci11121575 ◽

2021 ◽

Vol 11 (12) ◽

pp. 1575

Author(s):

Qian Xu ◽

Mengxi Zhou ◽

Chunyan Jiang ◽

Li Wu ◽

Qing He ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Executive Function ◽

Mild Cognitive Impairment ◽

Cognitive Assessment ◽

Chinese Version ◽

Montreal Cognitive Assessment ◽

Cognitive Profiles ◽

Visuospatial Function

Mild cognitive impairment (MCI) is a common and pivotal non-motor symptom in Parkinson’s disease (PD). It is necessary to use the appropriate tools to characterize the cognitive profiles and identify the subjects at risk of MCI in clinical practice. A cohort of 207 non-demented patients with PD and 52 age- and gender-matched cognitively normal controls (NCs) underwent the Chinese Version of Montreal Cognitive Assessment-Basic (MoCA-BC) evaluation. Patients with PD also received detailed motor and non-motor evaluation by serial scales. Cognitive profiles were investigated in patients with PD-MCI, relative to patients with normal cognition (PD-NC) and cognitively NCs. In addition, differences in demography, major motor and non-motor symptoms were compared between patients with PD-MCI and PD-NC. There were 70 patients with PD-MCI, occupying 33.8% of the total patients. Patients with PD-MCI had impairment in multiple cognitive domains, especially in executive function, memory and visuospatial function on MoCA-BC, relative to cognitively NCs or PD-NC. Compared with PD-NC patients, PD-MCI patients were older (p = 0.002) and had a later onset age (p = 0.007) and higher score of the Unified Parkinson’s Disease Rating Scale (UPDRS) part III (p = 0.001). The positive rate of clinical possible rapid eye movement sleep behavior disorder (cpRBD) in the PD-MCI group was significantly increased relative to the PD-NC group (p = 0.003). Multivariate logistic analysis showed that older age (OR = 1.06; p = 0.012), higher score of UPDRS-III (OR = 1.03; p = 0.018) and the presence of cpRBD (OR = 2.10; p = 0.037) were independently associated factors of MCI in patients with PD. In conclusion, executive function, memory and visuospatial function are the main impaired cognitive profiles in PD-MCI via MoCA-BC. Aging, motor severity and RBD may be independently related factors of MCI in PD.

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Determining a Short Form Montreal Cognitive Assessment (s-MoCA) Czech Version: Validity in Mild Cognitive Impairment Parkinson’s Disease and Cross-Cultural Comparison

Assessment ◽

10.1177/1073191118778896 ◽

2018 ◽

Vol 27 (8) ◽

pp. 1960-1970 ◽

Cited By ~ 4

Author(s):

Ondrej Bezdicek ◽

Markéta Červenková ◽

Tyler M. Moore ◽

Hana Stepankova Georgi ◽

Zdenek Sulc ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Classification Accuracy ◽

Cognitive Assessment ◽

Short Form ◽

Montreal Cognitive Assessment ◽

Short Version ◽

Highly Correlated

The Montreal Cognitive Assessment (MoCA) is one of the most common screening instruments for mild cognitive impairment. However, the standard MoCA is approximately two times longer to administer than the Mini-Mental State Examination. A total of 699 Czech and 175 American participants received the standard MoCA Czech and English versions and in the clinical part, a sample of 102 nondemented patients with Parkinson’s disease (PD). We created a validated Czech short version (s-MoCA-CZ) from the original using item response theory. As expected, s-MoCA-CZ scores were highly correlated with the standard version (Pearson r = .94, p < .001). s-MoCA-CZ also had 80% classification accuracy in the differentiation of PD mild cognitive impairment from PD without impairment. The s-MoCA-CZ, a brief screening tool, is shorter to administer than the standard MoCA. It provides high-classification accuracy for PD mild cognitive impairment and is equivalent to that of the standard MoCA-CZ.

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Predicting Future Cognitive Impairment in De Novo Parkinson's Disease Using Clinical Data and Structural MRI

10.1101/2021.08.13.21261662 ◽

2021 ◽

Author(s):

Nicola Smith ◽

Owen A Williams ◽

Lucia Ricciardi ◽

Francesca Morgante ◽

Thomas R Barrick ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Grey Matter ◽

Temporal Cortex ◽

Cognitive Status ◽

Support Vector ◽

Parkinson’S Disease Dementia ◽

Lingual Gyrus

BACKGROUND Parkinson's disease is the second most common neurodegenerative condition and associated with increasing cognitive dysfunction as the disease progresses. However, subtle cognitive deficits can be detected at diagnosis in 42% of individuals, suggesting that damage may already be present. Our aim was to determine clinical and structural differences in those recently diagnosed with PD who later develop cognitive impairment, and whether these changes predict future cognitive decline. METHODS Clinical and imaging data was acquired from the Parkinson's Progression Markers Initiative for 318 individuals with a diagnosis of Parkinson's disease and baseline 3T T1-weighted MRI. The cohort was divided according to cognitive status over follow-up, with 9 individuals developing Parkinson's disease dementia, 102 developing mild cognitive impairment and 207 remaining cognitively unaffected. FINDINGS At baseline, those who went on to develop cognitive impairment (mild cognitive impairment or dementia) were older with more severe motor and non-motor symptoms (anosmia, rapid eye movement sleep behaviour disorder, depression). Grey matter loss was present in those destined for Parkinson's disease dementia in the precuneus, hippocampi, primary olfactory cortex, lingual gyrus, temporal cortex and cerebellum. Those who later developed mild cognitive impairment had an attenuated but similar pattern of grey matter loss in the temporal lobe, lingual gyrus and cerebellum. Using support vector machines with a feature selection step, future cognitive impairment could be predicted using 11 clinical variables (AUC = 0.81), structural imaging (AUC = 0.72) or a combination of these two modalities (AUC = 0.85). These models more accurately predicted those who developed dementia (subgroup sensitivity 100%). INTERPRETATION Significant abnormalities in cortical structure is present at least three years before dementia manifests in Parkinson's disease, with associated differences in clinical profiles. Combining this data provides a technique to accurately identify future cognitive impairment, providing a non-invasive way to stratify individuals early on.

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Dynamic functional connectivity changes associated with dementia in Parkinson’s disease

Brain ◽

10.1093/brain/awz192 ◽

2019 ◽

Vol 142 (9) ◽

pp. 2860-2872 ◽

Cited By ~ 19

Author(s):

Eleonora Fiorenzato ◽

Antonio P Strafella ◽

Jinhee Kim ◽

Roberta Schifano ◽

Luca Weis ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Functional Connectivity ◽

Parkinson’S Disease Dementia ◽

Dynamic Functional Connectivity ◽

Control Subjects ◽

Healthy Control ◽

Normal Cognition

AbstractDynamic functional connectivity captures temporal variations of functional connectivity during MRI acquisition and it may be a suitable method to detect cognitive changes in Parkinson’s disease. In this study, we evaluated 118 patients with Parkinson’s disease matched for age, sex and education with 35 healthy control subjects. Patients with Parkinson’s disease were classified with normal cognition (n = 52), mild cognitive impairment (n = 46), and dementia (n = 20) based on an extensive neuropsychological evaluation. Resting state functional MRI and a sliding-window approach were used to study the dynamic functional connectivity. Dynamic analysis suggested two distinct connectivity ‘States’ across the entire group: a more frequent, segregated brain state characterized by the predominance of within-network connections, State I, and a less frequent, integrated state with strongly connected functional internetwork components, State II. In Parkinson’s disease, State I occurred 13.89% more often than in healthy control subjects, paralleled by a proportional reduction of State II. Parkinson’s disease subgroups analyses showed the segregated state occurred more frequently in Parkinson’s disease dementia than in mild cognitive impairment and normal cognition groups. Further, patients with Parkinson’s disease dementia dwelled significantly longer in the segregated State I, and showed a significant lower number of transitions to the strongly interconnected State II compared to the other subgroups. Our study indicates that dementia in Parkinson’s disease is characterized by altered temporal properties in dynamic connectivity. In addition, our results show that increased dwell time in the segregated state and reduced number of transitions between states are associated with presence of dementia in Parkinson’s disease. Further studies on dynamic functional connectivity changes could help to better understand the progressive dysfunction of networks between Parkinson’s disease cognitive states.

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Montreal Cognitive Assessment scale in patients with Parkinson Disease with normal scores in the Mini-Mental State Examination

Dementia & Neuropsychologia ◽

10.1590/1980-57642018dn13-010008 ◽

2019 ◽

Vol 13 (1) ◽

pp. 78-81 ◽

Cited By ~ 2

Author(s):

Krisly Arguedas Vásquez ◽

Erick Miranda Valverde ◽

Daniel Valerio Aguilar ◽

Henri-Jacques Hernández Gabarain

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mental State ◽

Cognitive Assessment ◽

Mini Mental State Examination ◽

Montreal Cognitive Assessment ◽

Screening Tests ◽

Study Results ◽

State Examination

ABSTRACT. Several screening tests have been used for cognitive evaluation in Parkinson’s disease (PD). Objective: To evaluate the usefulness of the Montreal Cognitive Assessment (MoCA) in patients with Parkinson’s disease and no cognitive impairment complaints. Methods: A total of 40 PD patients with no complaints of cognitive problems were included. Patients were selected using the Mini-Mental State Examination (MMSE) and the MoCA was then administered. Results: 80% of patients exhibited Mild Cognitive Impairment (MCI) according to the MoCA. Statistically significant differences in visuospatial, attention and delayed recall functions were evident between the normal and abnormal MoCA groups. Conclusion: The study results suggest that MoCA may be a good screening test in patients with PD who do not present cognitive complaints.

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