scholarly journals White Matter Hyperintensities and Cognitive Decline in de Novo Parkinson’s Disease Patients

2017 ◽  
Author(s):  
Mahsa Dadar ◽  
Yashar Zeighami ◽  
Yvonne Yau ◽  
Seyed-Mohammad Fereshtehnejad ◽  
Josefina Maranzano ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
White Matter ◽  
Cognitive Decline ◽  
White Matter Hyperintensities ◽  
De Novo ◽  
Cognitive Test ◽  
Cortical Thinning

AbstractObjectiveWhite Matter Hyperintensities (WMHs) are associated with cognitive decline in normative aging and Alzheimer’s disease. However, the pathogenesis of cognitive decline in Parkinson’s disease (PD) is not directly related to vascular causes, and therefore the role of WMHs in PD remains unclear. If WMH has a higher impact on cognitive decline in PD, vascular pathology should be assessed and treated with a higher priority in this population. Here we investigate whether WMH leads to increased cognitive decline in PD, and if these effects relate to cortical thinningMethodsTo investigate the role of WMHs in PD, it is essential to study recently-diagnosed/non-treated patients.De novoPD patients and age-matched controls (NPD=365,NControl=174) with FLAIR/T2-weighted scans at baseline were selected from Parkinson’s Progression Markers Initiative (PPMI). WMHs and cortical thickness were measured to analyse the relationship between baseline WMHs and future cognitive decline (follow-up:4.09±1.14 years) and cortical thinning (follow-up:1.05±0.10 years).ResultsHigh WMH load (WMHL) at baseline in PD was associated with increased cognitive decline, significantly more than i) PDs with low WMHL and ii) controls with high WMHL. Furthermore, PD patients with higher baseline WMHL showed more cortical thinning in right frontal lobe than subjects with low WMHL. Cortical thinning of this region also predicted decline in performance on a cognitive test.InterpretationPresence of WMHs inde novoPD patients predicts greater future cognitive decline and cortical thinning than in normal aging. Recognizing WMHs as a potential predictor of cognitive deficit in PD provides an opportunity for timely interventions.

scholarly journals White matter hyperintensities are linked to future cognitive decline in de novo Parkinson's disease patients

2018 ◽  
Vol 20 ◽  
pp. 892-900 ◽  
Author(s):  
Mahsa Dadar ◽  
Yashar Zeighami ◽  
Yvonne Yau ◽  
Seyed-Mohammad Fereshtehnejad ◽  
Josefina Maranzano ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
White Matter ◽  
Cognitive Decline ◽  
White Matter Hyperintensities ◽  
De Novo

Cortical Thinning Associated with Age and CSF Biomarkers in Early Parkinson’s Disease Is Modified by the SNCA rs356181 Polymorphism

2018 ◽  
Vol 18 (5-6) ◽  
pp. 233-238
Author(s):  
Frederic Sampedro ◽  
Juan Marín-Lahoz ◽  
Saul Martínez-Horta ◽  
Javier Pagonabarraga ◽  
Jaime Kulisevsky
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
De Novo ◽  
Brain Regions ◽  
Cortical Atrophy ◽  
Csf Biomarkers ◽  
Gene Encoding ◽  
Cortical Thinning ◽  
Age Related

The role of cerebrospinal fluid (CSF) biomarkers such as CSF α-synuclein and CSF tau in predicting cognitive decline in Parkinson’s disease (PD) continues to be inconsistent. Here, using a cohort of de novo PD patients with preserved cognition from the Parkinson’s Progression Markers Initiative (PPMI), we show that the SNCA rs356181 single nucleotide polymorphism (SNP) modulates the effect of these CSF biomarkers on cortical thinning. Depending on this SNP’s genotype, cortical atrophy was associated with either higher or lower CSF biomarker levels. Additionally, this SNP modified age-related atrophy. Importantly, the integrity of the brain regions where this phenomenon was observed correlated with cognitive measures. These results suggest that this genetic variation of the gene encoding the α-synuclein protein, known to be involved in the development of PD, also interferes in its subsequent neurodegeneration. Overall, our findings could shed light on the so far incongruent association of common CSF biomarkers with cognitive decline in PD.

scholarly journals Role of white matter hyperintensities, hemoglobin and vitamin B‐12 on cognitive decline: Two‐year follow‐up data from the Tata Longitudinal Study of Ageing (TLSA)

2020 ◽  
Vol 16 (S6) ◽  
Author(s):  
Aditi Balakrishnan ◽  
Vivek Tiwari ◽  
M.L. Abhishek ◽  
Naren P. Rao ◽  
Vijayalakshmi Ravindranath ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
White Matter ◽  
Cognitive Decline ◽  
White Matter Hyperintensities ◽  
Vitamin B ◽  
Vitamin B 12

Topography of cortical thinning associated with white matter hyperintensities in Parkinson's disease

2015 ◽  
Vol 21 (4) ◽  
pp. 372-377 ◽  
Author(s):  
Jee Hyun Ham ◽  
Hyuk Jin Yun ◽  
Mun-Kyung Sunwoo ◽  
Jin Yong Hong ◽  
Jong-Min Lee ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
Cortical Thinning

White Matter Hyperintensities, Dopamine Loss, and Motor Deficits in De Novo Parkinson's Disease

2021 ◽  
Author(s):  
Seong Ho Jeong ◽  
Hye Sun Lee ◽  
Jin Ho Jung ◽  
Kyoungwon Baik ◽  
Yang Hyun Lee ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
White Matter ◽  
White Matter Hyperintensities ◽  
De Novo ◽  
Motor Deficits

Potential Sex-Specific Effects of Apolipoprotein E ɛ4 on Cognitive Decline in Early Parkinson’s Disease

2020 ◽  
pp. 1-9
Author(s):  
Ryul Kim ◽  
Sangmin Park ◽  
Dallah Yoo ◽  
Young Ju Suh ◽  
Jin-Sun Jun ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Apolipoprotein E ◽  
De Novo ◽  
Sensitivity Analyses ◽  
Specific Effects ◽  
E4 Allele ◽  
Generalized Linear Mixed Effects

Background/Objective: To compare the longitudinal trajectories of cognition according to the presence of the apolipoprotein E (APOE) ɛ4 allele in male and female Parkinson’s disease (PD) patients. Methods: This study included a total of 361 patients with recently diagnosed de novo PD (mean age [standard deviation], 61.4 [9.8] years). The patients were classified into the following groups: APOE ɛ4 + /M (n = 65), APOE ɛ4-/M (n = 173), APOE ɛ4 + /F (n = 25), and APOE ɛ4-/F (n = 98). Cognitive decline was assessed annually over 5 years of follow-up using the Montreal Cognitive Assessment (MoCA). To assess the sex-specific impacts of the APOE ɛ4 status on cognitive decline, we used generalized linear mixed effects (GLME) models separately for men, women, and the two sexes combined. Results: In the sex-stratified GLME models adjusted for covariates, the interaction results showed that the males with APOE ɛ4 had a steeper rate of cognitive decline than those without APOE ɛ4. In contrast, there was no significant interaction between APOE ɛ4 and time on longitudinal MoCA performance in the females. The main effect of APOE ɛ4 on the change in the MoCA score was not significant for either men or women. When the data from both men and women were used, the APOE ɛ4 + /M group exhibited a steeper rate of cognitive decline than did the APOE ɛ4 + /F and APOE ɛ4-/F groups. These results were consistent with those of sensitivity analyses. Conclusion: Sex may be considered when APOE ɛ4-related vulnerability to early cognitive decline is evaluated in PD patients.

scholarly journals Disentangling the PIGD classification for the prediction of cognitive impairment in de novo Parkinson’s disease

2021 ◽  
Author(s):  
Daniele Urso ◽  
Valentina Leta ◽  
Lucia Batzu ◽  
Tayyabah Yousaf ◽  
Chloe Farrell ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
De Novo ◽  
Postural Instability ◽  
Time To Event ◽  
Clinical Predictors ◽  
Kaplan Meier

Abstract Background Postural Instability and Gait difficulties (PIGD) subtype has been associated with worse cognitive performance in Parkinson’s disease (PD). Objective To investigate whether PIGD subtype classification or PIGD-related clinical features predict the development of cognitive decline in de novo PD patients. Methods Data from 422 PD patients with de novo PD were obtained from the PPMI database. At follow-up (up to 6 years), patients were categorized as having cognitive impairment or not. Multivariate Cox survival analysis was carried out including motor subtype and individual MDS-UPDRS items defining PIGD phenotype as predictors. Previously validated clinical predictors of cognitive impairment were included in the model as covariates. Occurrence of cognitive impairment at follow-up was used as the time-to-event and Kaplan–Meier curve was generated. Results At baseline, 76 patients were classified as PIGD, 299 tremor-dominant and 47 as indeterminate. Development of cognitive impairment was not associated with PIGD subtype (p = 0.252). When individual MDS-UPDRS items were interrogated in the model, postural instability proved to be an independent predictor of cognitive impairment (HR = 2.045; 95%CI: 1.068–3.918; p = 0.031), while gait difficulties were not associated with cognitive decline (p = 0.870). Conclusions Our findings suggest that postural instability, as assessed by MDS-UPDRS III, may serve as a possible indicator of the risk of developing cognitive impairment in de novo PD patients rather than the PIGD phenotype.

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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