scholarly journals The Cerebellum Is a Common Key for Visuospatial Execution and Attention in Parkinson’s Disease

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1042
Author(s):  
Wataru Sako ◽  
Takashi Abe ◽  
Yuki Matsumoto ◽  
Kazumi Nakamura ◽  
Shotaro Haji ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Resting State ◽  
Cognitive Domain ◽  
Underlying Network ◽  
Magnetic Resonance Imaging Mri ◽  
State Examination ◽  
Orientation Domain ◽  
Normal Controls

Cognitive decline affects the clinical course in patients with Parkinson’s disease (PD) and contributes to a poor prognosis. However, little is known about the underlying network-level abnormalities associated with each cognitive domain. We aimed to identify the networks related to each cognitive domain in PD using resting-state functional magnetic resonance imaging (MRI). Forty patients with PD and 15 normal controls were enrolled. All subjects underwent MRI and the Mini-Mental State Examination. Furthermore, the cognitive function of patients with PD was assessed using the Montreal Cognitive Assessment (MoCA). We used independent component analysis of the resting-state functional MRI for functional segmentation, followed by reconstruction to identify each domain-related network, to predict scores in PD using multiple regression models. Six networks were identified, as follows: the visuospatial-executive-domain-related network (R2 = 0.54, p < 0.001), naming-domain-related network (R2 = 0.39, p < 0.001), attention-domain-related network (R2 = 0.86, p < 0.001), language-domain-related network (R2 = 0.64, p < 0.001), abstraction-related network (R2 = 0.10, p < 0.05), and orientation-domain-related network (R2 = 0.64, p < 0.001). Cerebellar lobule VII was involved in the visuospatial-executive-domain-related and attention-domain-related networks. These two domains are involved in the first three listed nonamnestic cognitive impairment in the diagnostic criteria for PD with dementia (PDD). Furthermore, Brodmann area 10 contributed most frequently to each domain-related network. Collectively, these findings suggest that cerebellar lobule VII may play a key role in cognitive impairment in nonamnestic types of PDD.

scholarly journals Cognitive impairment and resting-state network connectivity in Parkinson's disease

2014 ◽  
Vol 36 (1) ◽  
pp. 199-212 ◽  
Author(s):  
Hugo-Cesar Baggio ◽  
Bàrbara Segura ◽  
Roser Sala-Llonch ◽  
Maria-José Marti ◽  
Francesc Valldeoriola ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Resting State ◽  
Network Connectivity ◽  
Resting State Network

scholarly journals “Resting-state fMRI in Parkinson's disease patients with cognitive impairment: A meta-analysis”: Answer to Wang and colleagues

2019 ◽  
Vol 66 ◽  
pp. 253-254
Author(s):  
Amée F. Wolters ◽  
Sjors C.F. van de Weijer ◽  
Albert F.G. Leentjens ◽  
Annelien A. Duits ◽  
Heidi I.L. Jacobs ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Resting State ◽  
Meta Analysis ◽  
Resting State Fmri

scholarly journals Response to “Parkinson's disease mild cognitive impairment classifications and neurobehavioral symptoms”

2018 ◽  
Vol 30 (9) ◽  
pp. 1415-1415
Author(s):  
Kyla-Louise Horne ◽  
Daniel J. Myall ◽  
Michael R. MacAskill ◽  
Tim J. Anderson ◽  
John C. Dalrymple-Alford
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Conversion Rate ◽  
Significant Risk ◽  
Cognitive Domain ◽  
Community Needs ◽  
Dementia Risk ◽  
Neurobehavioral Symptoms

A recent paper, “Parkinson's disease mild cognitive impairment classifications and neurobehavioral symptoms” (McDermott et al., 2017), provides an interesting comparison of the influence of different criteria for Parkinson's disease with mild cognitive impairment (PD-MCI) on progression to dementia (PDD). Unfortunately, McDermott et al. (2017) incorrectly stated that “only 21% of PD-MCI participants (identified with a 1.5 SD cut-off) converted to PDD within four years” (p.6) in our study (Wood et al., 2016). However, the important point made by Wood et al. (2016) was that the proportion of conversions to PDD was 51% when the PD-MCI diagnosis required a minimum of two 1.5 SD impairments within any single cognitive domain, whereas additional PD-MCI patients classified with one impairment at 1.5 SD in each of the two domains (but never two impairments in the same domain) had a non-significant risk of dementia relative to non-MCI patients (11% vs. 6% converted, respectively). Our PDD conversion rate was 38% when combining both 1.5 SD criteria (21/56 PD-MCI patients vs. 4/65 non-MCI patients converted); McDermott et al. (2017) found a 42% conversion rate over three years for similarly described PD-MCI patients (10/24 PD-MCI patients vs. 0/27 non-MCI patients converted). Our study was also part of a multinational study (n = 467) showing that PD-MCI has predictive validity beyond known demographic and PD-specific factors of influence (Hoogland et al., 2017). All three studies found that multiple cognitive domain impairments are common in PD-MCI. Nonetheless, the research community needs to clarify the association between PD-MCI subtypes and, especially, the optimal cognitive markers for dementia risk in PD patients.

Cognitive Profile of the Earliest Stage of Dementia in Parkinson’s Disease

2012 ◽  
Vol 27 (8) ◽  
pp. 614-619 ◽  
Author(s):  
Mariya Petrova ◽  
Margarita Raycheva ◽  
Latchezar Traykov
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Episodic Memory ◽  
Executive Functions ◽  
Mini Mental State Examination ◽  
Early Stage ◽  
Considerable Controversy ◽  
State Examination ◽  
Normal Controls ◽  
Specific Profile

Recently, a strong interest has emerged in recognizing Parkinson’s disease dementia (PDD) at a very early stage. However, the specific profile of the earliest stages of PDD is still unclear and a matter of considerable controversy. The objective of this study was to find out early neuropsychological markers for progression of dementia in this population. Fifty-eight patients with PDD were divided into 2 subgroups on the basis of the Mini-Mental State Examination: very mild and mild. The comparison with 26 normal controls shows that very mild PDD had deficits on attention/executive functions, naming, visuospatial/constructional abilities and retrieval of the episodic memory. Patients with mild PDD showed additional deficits on coding of episodic memory. Moreover, we found that in this early stage of PDD, the progression of dementia is mainly related to deterioration of attention/executive functions as well as retrieval and coding of episodic memory.

scholarly journals Correlation of MRI Visual Scales with Neuropsychological Profile in Mild Cognitive Impairment of Parkinson’s Disease

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Luiz Felipe Vasconcellos ◽  
João Santos Pereira ◽  
Marcelo Adachi ◽  
Denise Greca ◽  
Manuela Cruz ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Verbal Learning ◽  
Stroop Test ◽  
Memory Test ◽  
Cognitive Domain ◽  
Cortical Atrophy ◽  
Neuropsychological Profile

Few studies have evaluated magnetic resonance imaging (MRI) visual scales in Parkinson’s disease-Mild Cognitive Impairment (PD-MCI). We selected 79 PD patients and 92 controls (CO) to perform neurologic and neuropsychological evaluation. Brain MRI was performed to evaluate the following scales: Global Cortical Atrophy (GCA), Fazekas, and medial temporal atrophy (MTA). The analysis revealed that both PD groups (amnestic and nonamnestic) showed worse performance on several tests when compared to CO. Memory, executive function, and attention impairment were more severe in amnestic PD-MCI group. Overall analysis of frequency of MRI visual scales by MCI subtype did not reveal any statistically significant result. Statistically significant inverse correlation was observed between GCA scale and Mini-Mental Status Examination (MMSE), Montreal Cognitive Assessment (MoCA), semantic verbal fluency, Stroop test, figure memory test, trail making test (TMT) B, and Rey Auditory Verbal Learning Test (RAVLT). The MTA scale correlated with Stroop test and Fazekas scale with figure memory test, digit span, and Stroop test according to the subgroup evaluated. Visual scales by MRI in MCI should be evaluated by cognitive domain and might be more useful in more severely impaired MCI or dementia patients.

Olfaction and taste in Parkinson’s disease: the association with mild cognitive impairment and the single cognitive domain dysfunction

2019 ◽  
Vol 126 (5) ◽  
pp. 585-595 ◽  
Author(s):  
Maria Paola Cecchini ◽  
Angela Federico ◽  
Alice Zanini ◽  
Elisa Mantovani ◽  
Carla Masala ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Domain

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

2019 ◽  
Vol 13 (1) ◽  
pp. 78-81 ◽  
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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