scholarly journals Cognitive Decline in Parkinson’s Disease: A Subgroup of Extreme Decliners Revealed by a Data-Driven Analysis of Longitudinal Progression

2021 ◽  
Vol 12 ◽  
Author(s):  
Sara Andersson ◽  
Maria Josefsson ◽  
Lars J. Stiernman ◽  
Anna Rieckmann
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Cognitive Performance ◽  
Latent Class ◽  
Cognitive Change ◽  
Csf Biomarkers ◽  
Latent Classes ◽  
Motor Symptoms ◽  
Progression Marker

Cognitive impairment is an important symptom of Parkinson’s disease (PD) and predicting future cognitive decline is crucial for clinical practice. Here, we aim to identify latent sub-groups of longitudinal trajectories of cognitive change in PD patients, and explore predictors of differences in cognitive change. Longitudinal cognitive performance data from 349 newly diagnosed PD patients and 145 healthy controls from the Parkinson Progression Marker Initiative were modeled using a multivariate latent class linear mixed model. Resultant latent classes were compared on a number of baseline demographics and clinical variables, as well as cerebrospinal fluid (CSF) biomarkers and striatal dopamine transporter (DAT) density markers of neuropathology. Trajectories of cognitive change in PD were best described by two latent classes. A large subgroup (90%), which showed a subtle impairment in cognitive performance compared to controls but remained stable over the course of the study, and a small subgroup (10%) which rapidly declined in all cognitive performance measures. Rapid decliners did not differ significantly from the larger group in terms of disease duration, severity, or motor symptoms at baseline. However, rapid decliners had lower CSF amyloidß42 levels, a higher prevalence of sleep disorder and pronounced loss of caudate DAT density at baseline. These data suggest the existence of a distinct minority sub-type of PD in which rapid cognitive change in PD can occur uncoupled from motor symptoms or disease severity, likely reflecting early pathological change that extends from motor areas of the striatum into associative compartments and cortex.

scholarly journals Latent Cognitive Phenotypes in De Novo Parkinson’s Disease: A Person-Centered Approach

2017 ◽  
Vol 23 (7) ◽  
pp. 551-563 ◽  
Author(s):  
Denise R. LaBelle ◽  
Ryan R. Walsh ◽  
Sarah J. Banks
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Latent Class ◽  
De Novo ◽  
Demographic Data ◽  
Functional Independence ◽  
Cognitive Change ◽  
Cognitive Profiles ◽  
Consistent Performance

AbstractObjectives: Cognitive impairment is an important aspect of Parkinson’s disease (PD), but there is considerable heterogeneity in its presentation. This investigation aims to identify and characterize latent cognitive phenotypes in early PD. Methods: Latent class analysis, a data-driven, person-centered, cluster analysis was performed on cognitive data from the Parkinson’s Progressive Markers Initiative baseline visit. This analytic method facilitates identification of naturally occurring endophenotypes. Resulting classes were compared across biomarker, symptom, and demographic data. Results: Six cognitive phenotypes were identified. Three demonstrated consistent performance across indicators, representing poor (“Weak-Overall”), average (“Typical-Overall”), and strong (“Strong-Overall”) cognition. The remaining classes demonstrated unique patterns of cognition, characterized by “Strong-Memory,” “Weak-Visuospatial,” and “Amnestic” profiles. The Amnestic class evidenced greater tremor severity and anosmia, but was unassociated with biomarkers linked with Alzheimer’s disease. The Weak-Overall class was older and reported more non-motor features associated with cognitive decline, including anxiety, depression, autonomic dysfunction, anosmia, and REM sleep behaviors. The Strong-Overall class was younger, more female, and reported less dysautonomia and anosmia. Classes were unrelated to disease duration, functional independence, or available biomarkers. Conclusions: Latent cognitive phenotypes with focal patterns of impairment were observed in recently diagnosed individuals with PD. Cognitive profiles were found to be independent of traditional biomarkers and motoric indices of disease progression. Only globally impaired class was associated with previously reported indicators of cognitive decline, suggesting this group may drive the effects reported in studies using variable-based analysis. Longitudinal and neuroanatomical characterization of classes will yield further insight into the evolution of cognitive change in the disease. (JINS, 2017, 23, 551–563)

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 Parkinson’s disease prognostic scores for progression of cognitive decline

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Galina Gramotnev ◽  
Dmitri K. Gramotnev ◽  
Alexandra Gramotnev
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Clinical Problem ◽  
Prognostic Scores ◽  
Clinical Biomarkers ◽  
Clinical Scores ◽  
Progression Marker ◽  
Drug Naïve ◽  
Relative Variable

AbstractClinical and biochemical diversity of Parkinson’s disease (PD) presents a major challenge for accurate diagnosis and prediction of its progression. We propose, develop and optimize PD clinical scores as efficient integrated progression biomarkers for prediction of the likely rate of cognitive decline in PD patients. We considered 269 drug-naïve participants from the Parkinson’s Progression Marker Initiative database, diagnosed with idiopathic PD and observed between 4 and 6 years. Nineteen baseline clinical and pathological measures were systematically considered. Relative variable importance and logistic regressions were used to optimize combinations of significant baseline measures as integrated biomarkers. Parkinson’s disease cognitive decline scores were designed as new clinical biomarkers using optimally categorized baseline measures. Specificities and sensitivities of the biomarkers reached ~93% for prediction of severe rate of cognitive decline (with more than 5 points decline in 4 years on the Montreal Cognitive Assessment scale), and up to ~73% for mild-to-moderate decline (between 1 and 5 points decline). The developed biomarkers and clinical scores could resolve the long-standing clinical problem about reliable prediction of PD progression into cognitive deterioration. The outcomes also provide insights into the contributions of individual clinical and pathological measures to PD progression, and will assist with better-targeted treatment regiments, stratification of clinical trial and their evaluation.

Cognitive decline in Parkinson’s disease: A prospective longitudinal study

2009 ◽  
Vol 15 (3) ◽  
pp. 426-437 ◽  
Author(s):  
DINO MUSLIMOVIĆ ◽  
BART POST ◽  
JOHANNES D. SPEELMAN ◽  
ROB J. DE HAAN ◽  
BEN SCHMAND
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Disease Onset ◽  
Cognitive Change ◽  
Newly Diagnosed ◽  
Psychomotor Speed ◽  
Prospective Longitudinal Study ◽  
Normative Comparisons ◽  
Prospective Longitudinal

AbstractThis controlled prospective study examined the evolution and predictors of cognitive decline in Parkinson’s disease (PD). Consecutive patients diagnosed at baseline with PD (n = 89), established PD (EPD) patients (n = 52) with a mean disease duration of 6.5 years, and healthy control subjects (n = 64) underwent extensive neuropsychological assessment twice, approximately 3 years apart. A standardized regression-based method, normative data, and multivariate normative comparisons were used to assess the cognitive course of PD. Cognitive performance of newly diagnosed patients decreased significantly over time, particularly on measures of psychomotor speed and attention and to a lesser extent on tests of memory, visuospatial skills, and executive functions. About 50% of the patients showed cognitive decline and 9% developed dementia. Similar results were observed in EPD patients. None of the baseline features predicted cognitive change in newly diagnosed patients, whereas age at disease onset and axial impairment (postural and gait disorders) contributed to decline in established patients. We conclude that within few years after diagnosis, PD patients show faster rate of cognitive decline than matched healthy subjects, particularly in domains of attention and psychomotor speed. Selection bias probably led to underestimation of the true extent of cognitive decline in established patients. (JINS, 2009, 15, 426–437.)

scholarly journals CSF sTREM2 correlates with CSF tau in advancing Parkinson’s disease

2019 ◽  
Author(s):  
Edward N. Wilson ◽  
Michelle S. Swarovski ◽  
Patricia Linortner ◽  
Marian Shahid ◽  
Abigail J. Zuckerman ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Cognitive Decline ◽  
Microglial Activation ◽  
Soluble Form ◽  
Motor Symptoms ◽  
Cognitively Normal ◽  
Csf Concentration

AbstractParkinson’s disease (PD) is the second most common neurodegenerative disease after Alzheimer’s disease (AD) and affects 1% of the population above 60 years old. Although PD commonly manifests with motor symptoms, a majority of patients with PD subsequently develop cognitive impairment which often progresses to dementia, a major cause of morbidity and disability. PD is characterized by α-synuclein accumulation that frequently associates with amyloid beta (Aβ) and tau fibrils, the hallmarks of AD neuropathologic changes; this co-occurrence suggests that onset of cognitive decline in PD may be associated with appearance of pathologic Aβ and/or tau. Recent studies have highlighted the appearance of the soluble form of the Triggering Receptor Expressed on Myeloid cells 2 (sTREM2) receptor in CSF during development of AD. Given the known association of microglial activation with advancing PD, we investigated whether CSF and/or plasma sTREM2 increased with progression to PD dementia. We examined 165 participants consisting of 17 cognitively normal elderly, 45 PD patients with no cognitive impairment, 86 with mild cognitive impairment, and 17 with dementia. Stratification of subjects by CSF Aβ and tau levels revealed that CSF sTREM2 concentrations were elevated in PD subgroups with abnormal tau, but not Aβ, CSF concentration. These findings indicate that CSF sTREM2 could serve as a surrogate immune biomarker of neuronal injury in PD that is associated with cognitive decline.One sentence summaryCSF sTREM2 correlates with CSF tau in PD

scholarly journals Apathy as a behavioural marker of cognitive impairment in Parkinson’s disease: a longitudinal analysis

2019 ◽  
Vol 267 (1) ◽  
pp. 214-227 ◽  
Author(s):  
Glen P. Martin ◽  
Kathryn R. McDonald ◽  
David Allsop ◽  
Peter J. Diggle ◽  
Iracema Leroi
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Psychiatric Symptoms ◽  
Cognitive Change ◽  
Longitudinal Change ◽  
Random Intercept ◽  
Behavioural Factors ◽  
Over Time

Abstract Background Understanding the longitudinal course of non-motor symptoms, and finding markers to predict cognitive decline in Parkinson’s disease (PD), are priorities. Previous work has demonstrated that apathy is one of the only behavioural symptoms that differentiates people with PD and intact cognition from those with mild cognitive impairment (MCI-PD). Other psychiatric symptoms emerge as dementia in PD develops. Objective We explored statistical models of longitudinal change to detect apathy as a behavioural predictor of cognitive decline in PD. Methods We followed 104 people with PD intermittently over 2 years, undertaking a variety of motor, behavioural and cognitive measures. We applied a linear mixed effects model to explore behavioural factors associated with cognitive change over time. Our approach goes beyond conventional modelling based on a random-intercept and slope approach, and can be used to examine the variability in measures within individuals over time. Results Global cognitive scores worsened during the two-year follow-up, whereas the longitudinal evolution of self-rated apathy scores and other behavioural measures was negligible. Level of apathy was negatively (− 0.598) correlated with level of cognitive impairment and participants with higher than average apathy scores at baseline also had poorer cognition. The model indicated that departure from the mean apathy score at any point in time was mirrored by a corresponding departure from average global cognitive score. Conclusion High levels of apathy are predictive of negative cognitive and behavioural outcomes over time, suggesting that apathy may be a behavioural indicator of early cognitive decline. This has clinical and prognostic implications.

Informant-Reported Cognitive Decline is Associated with Objective Cognitive Performance in Parkinson’s Disease

2020 ◽  
pp. 1-11
Author(s):  
Marina Z. Nakhla ◽  
Kelsey A. Holiday ◽  
J. Vincent Filoteo ◽  
Zvinka Z. Zlatar ◽  
Vanessa L. Malcarne ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Executive Function ◽  
Cognitive Decline ◽  
Cognitive Performance ◽  
Cognitive Status ◽  
Delayed Recall ◽  
Visuospatial Function ◽  
Wide Range ◽  
Normal Cognition

Abstract Objective: The utility of informant-based measures of cognitive decline to accurately describe objective cognitive performance in Parkinson’s disease (PD) without dementia is uncertain. Due to the clinical relevance of this information, the purpose of this study was to examine the relationship between informant-based reports of patient cognitive decline via the Informant Questionnaire of Cognitive Decline in the Elderly (IQCODE) and objective cognition in non-demented PD controlling for cognitive status (i.e., mild cognitive impairment; PD-MCI and normal cognition; PD-NC). Method: One-hundred and thirty-nine non-demented PD participants (PD-MCI n = 38; PD-NC n = 101) were administered measures of language, executive function, attention, learning, delayed recall, visuospatial function, mood, and motor function. Each participant identified an informant to complete the IQCODE and a mood questionnaire. Results: Greater levels of informant-based responses of patient cognitive decline on the IQCODE were significantly associated with worse objective performance on measures of global cognition, attention, learning, delayed recall, and executive function in the overall sample, above and beyond covariates and cognitive status. However, the IQCODE was not significantly associated with language or visuospatial function. Conclusions: Results indicate that informant responses, as measured by the IQCODE, may provide adequate information on a wide range of cognitive abilities in non-demented PD, including those with MCI and normal cognition. Findings have important clinical implications for the utility of the IQCODE in the identification of PD patients in need of further evaluation, monitoring, and treatment.

scholarly journals TOMM40 ‘523’ poly-T repeat length is a determinant of longitudinal cognitive decline in Parkinson’s disease

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Megan C. Bakeberg ◽  
Anastazja M. Gorecki ◽  
Abigail L. Pfaff ◽  
Madison E. Hoes ◽  
Sulev Kõks ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Cognitive Performance ◽  
Disease Onset ◽  
Whole Genome Sequencing Data ◽  
Sequencing Data ◽  
Progression Markers ◽  
The Relationship

AbstractThe translocase of outer mitochondrial membrane 40 (TOMM40) ‘523’ polymorphism has previously been associated with age of Alzheimer’s disease onset and cognitive functioning in non-pathological ageing, but has not been explored as a candidate risk marker for cognitive decline in Parkinson’s disease (PD). Therefore, this longitudinal study investigated the role of the ‘523’ variant in cognitive decline in a patient cohort from the Parkinson’s Progression Markers Initiative. As such, a group of 368 people with PD were assessed annually for cognitive performance using multiple neuropsychological protocols, and were genotyped for the TOMM40 ‘523’ variant using whole-genome sequencing data. Covariate-adjusted generalised linear mixed models were utilised to examine the relationship between TOMM40 ‘523’ allele lengths and cognitive scores, while taking into account the APOE ε genotype. Cognitive scores declined over the 5-year study period and were lower in males than in females. When accounting for APOE ε4, the TOMM40 ‘523’ variant was not robustly associated with overall cognitive performance. However, in APOE ε3/ε3 carriers, who accounted for ~60% of the whole cohort, carriage of shorter ‘523’ alleles was associated with more severe cognitive decline in both sexes, while carriage of the longer alleles in females were associated with better preservation of global cognition and a number of cognitive sub-domains, and with a delay in progression to dementia. The findings indicate that when taken in conjunction with the APOE genotype, TOMM40 ‘523’ allele length is a significant independent determinant and marker for the trajectory of cognitive decline and risk of dementia in PD.

scholarly journals Differential effects of sex on longitudinal patterns of cognitive decline in Parkinson’s disease

2021 ◽  
Author(s):  
Megan C. Bakeberg ◽  
Anastazja M. Gorecki ◽  
Jade E. Kenna ◽  
Alexa Jefferson ◽  
Michelle Byrnes ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Impairment ◽  
Cognitive Decline ◽  
Cognitive Performance ◽  
Repeated Measures ◽  
Cross Sectional ◽  
Domain Specific ◽  
Global Cognition ◽  
The Impact

Abstract Background Cognitive impairment is an important and diverse symptom of Parkinson’s disease (PD). Sex is a purported risk variable for cognitive decline in PD, but has not been comprehensively investigated. Objectives This cross-sectional and longitudinal study examined sex differences in global and domain-specific cognitive performance in a large PD cohort. Methods Cognitive function was evaluated using the Addenbrooke’s Cognitive Examination in 392 people with PD (PwP) from the Australian Parkinson’s Disease Registry. The influence of sex on domain-specific cognitive performance was investigated using covariate-corrected generalised linear models. In a repeated measures longitudinal subset of 127 PwP, linear mixed models were used to assess the impact of sex on cognition over time, while accounting for covariates. Results Cross-sectional-corrected modelling revealed that sex was significantly predictive of cognitive performance, with males performing worse than females on global cognition, and memory and fluency domains. Longitudinally, sex was significantly predictive of cognitive decline, with males exhibiting a greater reduction in global cognition and language, whereas females showed a greater decline in attention/orientation, memory and visuospatial domains, despite starting with higher baseline scores. At follow-up, a significantly higher proportion of males than females fulfilled criteria for mild cognitive impairment or PD dementia. Conclusions Sex was revealed as a significant determinant of overall cognitive performance as well as specific cognitive domains, with a differential pattern of decline in male and female participants. Such sex-specific findings appear to explain some of the heterogeneity observed in PD, warranting further investigation of mechanisms underlying this sexual dimorphism.

scholarly journals Psychiatric aspects of Parkinson’s disease

2015 ◽  
Vol 6 (01) ◽  
pp. 065-076 ◽  
Author(s):  
Sandeep Grover ◽  
Mansi Somaiya ◽  
Santhosh Kumar ◽  
Ajit Avasthi
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Cognitive Decline ◽  
Psychiatric Disorders ◽  
Sleep Disturbances ◽  
Psychiatric Morbidity ◽  
Clinical Manifestations ◽  
Pain Syndrome ◽  
Motor Symptoms ◽  
Psychiatric Disturbances

ABSTRACTParkinson’s disease (PD) is essentially characterized by the motor symptoms in the form of resting tremor, rigidity and bradykinesia. However, over the years it has been recognized that motor symptoms are just the “tip of the iceberg” of clinical manifestations of PD. Besides motor symptoms, PD characterized by many non-motor symptoms, which include cognitive decline, psychiatric disturbances (depression, psychosis and impulse control), sleep difficulties, autonomic failures (gastrointestinal, cardiovascular, urinary, thermoregulation) and pain syndrome. This review evaluates the various aspects of psychiatric disorders including cognitive decline and sleep disturbances in patients with PD. The prevalence rate of various psychiatric disorders is high in patients with PD. In terms of risk factors, various demographic, clinical and treatment-related variables have been shown to be associated with higher risk of development of psychiatric morbidity. Evidence also suggests that the presence of psychiatric morbidity is associated with poorer outcome. Randomized controlled trials, evaluating the various pharmacological and non-pharmacological treatments for management of psychiatric morbidity in patients with PD are meager. Available evidence suggests that tricyclic antidepressants like desipramine and nortriptyline are efficacious for management of depression. Among the antipsychotics, clozapine is considered to be the best choice for management of psychosis in patients with PD. Among the various cognitive enhancers, evidence suggest efficacy of rivastigmine in management of dementia in patients with PD. To conclude, this review suggests that psychiatric morbidity is highly prevalent in patients with PD. Hence, a multidisciplinary approach must be followed to improve the overall outcome of PD. Further studies are required to evaluate the efficacy of various other measures for management of psychiatric morbidity in patients with PD.

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