scholarly journals The corticolimbic structural covariance network as an early predictive biosignature for cognitive impairment in Parkinson's disease

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yueh-Sheng Chen ◽  
Hsiu-Ling Chen ◽  
Cheng-Hsien Lu ◽  
Chih-Ying Lee ◽  
Kun-Hsien Chou ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Gray Matter ◽  
Neuropsychological Testing ◽  
Whole Body ◽  
Adult Intelligence Scale ◽  
Structural Covariance ◽  
Normal Cognition

AbstractStructural covariance assesses similarities in gray matter between brain regions and can be applied to study networks of the brain. In this study, we explored correlations between structural covariance networks (SCNs) and cognitive impairment in Parkinson’s disease patients. 101 PD patients and 58 age- and sex-matched healthy controls were enrolled in the study. For each participant, comprehensive neuropsychological testing using the Wechsler Adult Intelligence Scale-III and Cognitive Ability Screening Instrument were conducted. Structural brain MR images were acquired using a 3.0T whole body GE Signa MRI system. T1 structural images were preprocessed and analyzed using Statistical Parametric Mapping software (SPM12) running on Matlab R2016a for voxel-based morphometric analysis and SCN analysis. PD patients with normal cognition received follow-up neuropsychological testing at 1-year interval. Cognitive impairment in PD is associated with degeneration of the amygdala/hippocampus SCN. PD patients with dementia exhibited increased covariance over the prefrontal cortex compared to PD patients with normal cognition (PDN). PDN patients who had developed cognitive impairment at follow-up exhibited decreased gray matter volume of the amygdala/hippocampus SCN in the initial MRI. Our results support a neural network-based mechanism for cognitive impairment in PD patients. SCN analysis may reveal vulnerable networks that can be used to early predict cognitive decline in PD patients.

scholarly journals Psychometric Properties of the Clinical Dementia Rating Scale Sum of Boxes in Parkinson’s Disease

2020 ◽  
pp. 1-9
Author(s):  
Julia Gallagher ◽  
Jacqueline Rick ◽  
Sharon X. Xie ◽  
Pablo Martinez-Martin ◽  
Eugenia Mamikonyan ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Rating Scale ◽  
Clinical Dementia Rating ◽  
Functional Changes ◽  
Dementia Rating Scale ◽  
Normal Cognition ◽  
Domain Scores

Background: A composite measure that assesses both cognitive and functional abilities in Parkinson’s disease (PD) would be useful for diagnosing mild cognitive impairment (MCI) and PD dementia (PDD) and as an outcome measure in randomized controlled trials. The Clinical Dementia Rating Scale Sum of Boxes (CDR-SOB) was designed to assess both cognition and basic-instrumental activities of daily living in Alzheimer’s disease but has not yet been validated in PD. Objective: To validate the CDR-SOB as a composite cognitive-functional measure for PD patients, as well as to assess its sensitivity to change. Methods: The CDR-SOB and a comprehensive cognitive and functional battery was administered to 101 PD patients at baseline (39 normal cognition [NC], 41 MCI and 21 PDD by expert consensus panel), and re-administered to 64 patients after 1-2 years follow-up (32 NC and 32 cognitive impairment [CI] at baseline). Results: Cross-sectionally, CDR-SOB and domain scores were correlated with corresponding neuropsychological or functional measures and were significantly different between cognitive subgroups both at baseline and at follow-up. In addition, CDR-SOB ROC curves distinguished between normal cognition and dementia with high sensitivity, but did not distinguish well between NC and MCI. Longitudinal changes in the CDR-SOB and domain scores were not significant and were inconsistent in predicting change in commonly-used cognitive and functional tests. Conclusion: The CDR-SOB detects dementia-level cognitive impairment in PD but may not be appropriate for predicting longitudinal combined cognitive-functional changes in patients without significant cognitive impairment at baseline.

scholarly journals Retrospective Assessment of Movement Disorder Society Criteria for Mild Cognitive Impairment in Parkinson’s Disease

2015 ◽  
Vol 21 (2) ◽  
pp. 137-145 ◽  
Author(s):  
Andrea M. Loftus ◽  
Romola S. Bucks ◽  
Meghan Thomas ◽  
Robert Kane ◽  
Caitlin Timms ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Movement Disorder ◽  
Rating Scale ◽  
Neuropsychological Testing ◽  
Simulation Method ◽  
Movement Disorder Society

AbstractA Movement Disorder Society (MDS) taskforce recently proposed diagnostic criteria for Parkinson’s disease with features of mild cognitive impairment (PD-MCI). This study first examined the prevalence and nature of PD-MCI in a non-demented cohort using the MDS criteria. Using the generic Monte Carlo simulation method developed by Crawford and colleagues (2007), this study then estimated the base rate of the representative population who would demonstrate PD-MCI due to chance alone. A total of 104 participants with idiopathic PD underwent extensive motor and neuropsychological testing at baseline and 2 years later. The Unified Parkinson’s Disease Rating Scale (UPDRS) was used to assess motor symptoms of PD and a range of established neuropsychological tests was used to assess PD-MCI in accord with MDS criteria. In accord with MDS criteria, 38% of this cohort demonstrated PD-MCI at baseline and 48% at follow-up. Of the 36 participants in the multiple-domain PD-MCI subtype at time-1, 9 (25%) demonstrated no PD-MCI at follow up. Analysis revealed that approximately 13% of the representative population would demonstrate abnormally low scores for 2 of the 9 tests used, thereby meeting MDS criteria for PD-MCI. Clinicians and researchers need to approach a single diagnosis (i.e., based on one assessment) of PD-MCI with considerable caution. (JINS, 2015, 21, 137–145)

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.

scholarly journals Parkinson’s disease: evolution of cognitive impairment and CSF Aβ1–42 profiles in a prospective longitudinal study

2018 ◽  
Vol 90 (2) ◽  
pp. 165-170 ◽  
Author(s):  
Stefanie Lerche ◽  
Isabel Wurster ◽  
Benjamin Röben ◽  
Gerrit Machetanz ◽  
Milan Zimmermann ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Cox Regression ◽  
Disease Process ◽  
Amyloid Β ◽  
Prospective Longitudinal Study ◽  
Disease Evolution ◽  
Prospective Longitudinal

ObjectiveTo evaluate the evolution of cognitive impairment in relation to cerebrospinal fluid (CSF) profiles of amyloid-β (Aβ), total-Tau and phosphorylated-Tau in Parkinson’s disease (PD).MethodsProspective, longitudinal, observational study up to 10 years with follow-up every 2  years. We assessed CSF profiles in 415 patients with sporadic PD (median age 66; 63% men) and 142 healthy controls (median age 62; 43% men).ResultsPatients with PD with low CSF Aβ1–42 levels at baseline were more often cognitively impaired than patients with intermediate and high Aβ1–42 levels. Sixty-seven per cent of the patients with low Aβ1–42 levels at baseline and normal cognition developed cognitive impairment during follow-up, compared with 41% and 37% of patients having intermediate and high CSF Aβ1–42 levels. Kaplan-Meier survival curves and Cox regression revealed that patients with low CSF Aβ1–42 levels at baseline developed cognitive impairment more frequently and earlier during follow-up.ConclusionWe conclude that in patients with sporadic PD, low levels of Aβ1–42 are associated with a higher risk of developing cognitive impairment earlier in the disease process at least in a subgroup of patients.

Lower serum uric acid is associated with mild cognitive impairment in early Parkinson’s disease: a 4-year follow-up study

2016 ◽  
Vol 123 (12) ◽  
pp. 1399-1402 ◽  
Author(s):  
Maria Teresa Pellecchia ◽  
Riccardo Savastano ◽  
Marcello Moccia ◽  
Marina Picillo ◽  
Pietro Siano ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Uric Acid ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Serum Uric Acid ◽  
Lower Serum ◽  
Follow Up Study ◽  
Early Parkinson’S Disease

REM behavior disorder, hallucinations and cognitive impairment in Parkinson's disease: A two-year follow up

2008 ◽  
Vol 23 (10) ◽  
pp. 1441-1445 ◽  
Author(s):  
Elena Sinforiani ◽  
Claudio Pacchetti ◽  
Roberta Zangaglia ◽  
Chiara Pasotti ◽  
Raffaele Manni ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Behavior Disorder ◽  
Rem Behavior Disorder

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

Brain ◽  
2019 ◽  
Vol 142 (9) ◽  
pp. 2860-2872 ◽  
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.

scholarly journals Effects of Home-Based Working Memory Training on Visuo-Spatial Working Memory in Parkinson’s Disease: A Randomized Controlled Trial

2020 ◽  
Vol 12 ◽  
pp. 117957351989946 ◽  
Author(s):  
Kathrin Giehl ◽  
Anja Ophey ◽  
Paul Reker ◽  
Sarah Rehberg ◽  
Jochen Hammes ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Working Memory ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Spatial Working Memory ◽  
Controlled Trial ◽  
Memory Training ◽  
Randomized Controlled ◽  
Home Based

Background: Cognitive impairment is a very frequent and severe nonmotor symptom of Parkinson’s disease (PD). Early intervention in this at-risk group for cognitive decline may be crucial for long-term preservation of cognitive functions. Computerized working memory training (WMT) has been proven beneficial in non-PD patient populations, but such evidence is still needed for patients with PD. Objective: This study aimed to evaluate the effect of WMT on visuo-spatial working memory (WM) in cognitively unimpaired patients with PD. Methods: A single-blind randomized controlled trial encompassing 76 patients with PD but no cognitive impairment according to level II diagnostic criteria was conducted. Thirty-seven patients engaged in home-based adaptive WMT 5 times per week for a period of 5 weeks, whereas the remaining patients were in the waiting list arm of the study (control group [CG]). Working memory performance was evaluated using a computerized task before and after intervention and at 14-week follow-up, allowing to quantify the precision of WM on a continuous scale, ie, to test not only if an item was remembered but also how well the location of this item was retained. Results: Coincidently, the WMT group showed slightly worse WM performance compared with the CG at baseline, which was ameliorated after WMT. This training-induced effect remained stable until follow-up. Conclusion: Patients showing relatively low WM performance, despite not formally diagnosable as Parkinson’s disease with mild cognitive impairment (PD-MCI), seem to benefit from home-based WMT. Thus, WMT could potentially be implemented in future trials as a time- and cost-efficient route to counteract subtle cognitive changes in early disease stages. Trial registration: German Clinical Trial Register (drks.de, DRKS00009379)

Constipation Predicts Cognitive Decline in Parkinson’s Disease: Results from the COPPADIS Cohort at 2-Year Follow-up and Comparison with a Control Group

2021 ◽  
pp. 1-17
Author(s):  
Diego Santos García ◽  
Lucía García Roca ◽  
Teresa de Deus Fonticoba ◽  
Carlos Cores Bartolomé ◽  
Lucía Naya Ríos ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Rating Scale ◽  
Cognitive Status ◽  
Control Group ◽  
Cognitive Changes ◽  
Non Motor Symptoms

Background: Constipation has been linked to cognitive impairment development in Parkinson’s disease (PD). Objective: Our aim was to analyze cognitive changes observed in PD patients and controls from a Spanish cohort with regards to the presence or not of constipation. Methods: PD patients and controls recruited from 35 centers of Spain from the COPPADIS cohort from January 2016 to November 2017 were followed-up during 2 years. The change in cognitive status from baseline (V0) to 2-year follow-up was assessed with the PD-CRS (Parkinson’s Disease Cognitive Rating Scale). Subjects with a score ≥1 on item 21 of the NMSS (Non-Motor Symptoms Scale) at baseline (V0) were considered as “with constipation”. Regression analyses were applied for determining the contribution of constipation in cognitive changes. Results: At V0, 39.7% (198/499) of PD patients presented constipation compared to 11.4% of controls (14/123) (p < 0.0001). No change was observed in cognitive status (PD-CRS total score) neither in controls without constipation (from 100.24±13.72 to 100.27±13.68; p = 0.971) and with constipation (from 94.71±10.96 to 93.93±13.03; p = 0.615). The PD-CRS total score decreased significantly in PD patients with constipation (from 89.14±15.36 to 85.97±18.09; p < 0.0001; Coehn’s effect = –0.35) compared to patients without constipation (from 93.92±15.58 to 93.14±17.52; p = 0.250) (p = 0.018). In PD patients, to suffer from constipation at V0 was associated with a decrease in the PD-CRS total score from V0 to V2 (β= –0.1; 95% CI, –4.36 – –0.27; p = 0.026) and having cognitive impairment at V2 (OR = 1.79; 95% CI, 1.01 – 3.17; p = 0.045). Conclusion: Constipation is associated with cognitive decline in PD patients but not in controls.

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