scholarly journals Alexithymia and Apathy in Parkinson’s Disease: Neurocognitive Correlates

2013 ◽  
Vol 27 (4) ◽  
pp. 535-545 ◽  
Author(s):  
Yelena Bogdanova ◽  
Alice Cronin-Golomb
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neuropsychological Tests ◽  
Emotional Processing ◽  
Rating Scales ◽  
Right Hemisphere ◽  
Neuropsychiatric Symptoms ◽  
Disease Stage ◽  
Motor Symptoms ◽  
Non Motor Symptoms

Non-motor symptoms such as neuropsychiatric and cognitive dysfunction have been found to be common in Parkinson’s disease (PD) but the relation between such symptoms is poorly understood. We focused on alexithymia, an impairment of affective and cognitive emotional processing, as there is evidence for its interaction with cognition in other disorders. Twenty-two non-demented PD patients and 22 matched normal control adults (NC) were administered rating scales assessing neuropsychiatric status, including alexithymia, apathy, and depression, and a series of neuropsychological tests. As expected, PD patients showed more alexithymia than NC, and there was a significant association between alexithymia and disease stage. Alexithymia was associated with performance on non-verbally mediated measures of executive and visuospatial function, but not on verbally mediated tasks. By contrast, there was no correlation between cognition and ratings of either depression or apathy. Our findings demonstrate a distinct association of alexithymia with non-verbal cognition in PD, implicating right hemisphere processes, and differentiate between alexithymia and other neuropsychiatric symptoms in regard to PD cognition.

Parkinson’s Disease Progression and Statins: Hydrophobicity Matters

2021 ◽  
pp. 1-10
Author(s):  
Mechelle M. Lewis ◽  
Richard M. Albertson ◽  
Guangwei Du ◽  
Lan Kong ◽  
Andrew Foy ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scales ◽  
Motor Symptoms ◽  
Clinical Progression ◽  
Mixed Effect ◽  
Lipophilic Statin ◽  
Hydrophilic Statin ◽  
Non Motor Symptoms ◽  
Statin Use

Background: Recent randomized clinical trials using hydrophobic statins reported no influence on Parkinson’s disease (PD) clinical progression. Hydrophobicity is a key determinant for blood-brain barrier penetrance. Objective: Investigate a potential effect of statins on PD progression. Methods: Statin use was determined at baseline and subtyped according to hydrophobicity in 125 PD patients participated PD Biomarker Program (PDBP, 2012–2015) at our site. Clinical (N = 125) and susceptibility MRI (N = 86) data were obtained at baseline and 18-months. Movement Disorders Society-Unified PD Rating Scales were used to track progression of non-motor (MDS-UPDRS-I) and motor (MDS-UPDRS-II) symptoms, and rater-based scores (MDS-UPDRS-III) of patients in the “on” drug state. R2 * values were used to capture pathological progression in the substantia nigra. Associations between statin use, its subtypes, and PD progression were evaluated with linear mixed effect regressions. Results: Compared to statin non-users, overall statin or lipophilic statin use did not significantly influence PD clinical or imaging progression. Hydrophilic statin users, however, demonstrated faster clinical progression of non-motor symptoms [MDS-UPDRS-I (β= 4.8, p = 0.010)] and nigral R2 * (β= 3.7, p = 0.043). A similar trend was found for MDS-UPDRS-II (β= 3.9, p = 0.10), but an opposite trend was observed for rater-based MDS-UPDRS-III (β= –7.3, p = 0.10). Compared to lipophilic statin users, hydrophilic statin users also showed significantly faster clinical progression of non-motor symptoms [MDS-UPDRS-I (β= 5.0, p = 0.020)], but R2 * did not reach statistical significance (β= 2.5, p = 0.24). Conclusion: This study suggests that hydrophilic, but not lipophilic, statins may be associated with faster PD progression. Future studies may have clinical and scientific implications.

scholarly journals Neurocognitive Correlates of Apathy and Anxiety in Parkinson's Disease

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Yelena Bogdanova ◽  
Alice Cronin-Golomb
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neuropsychological Tests ◽  
Rating Scales ◽  
Disease Duration ◽  
Differential Association ◽  
Motor Symptoms ◽  
Healthy Controls ◽  
Nonmotor Symptoms ◽  
Neurocognitive Profiles

Parkinson's disease (PD) is associated with various nonmotor symptoms including neuropsychiatric and cognitive dysfunction. We examined the relation between apathy, anxiety, side of onset of motor symptoms, and cognition in PD. We hypothesized that PD patients would show different neuropsychiatric and neurocognitive profiles depending on the side of onset. 22 nondemented PD patients (11 right-side onset (RPD) with predominant left-hemisphere pathology, and 11 LPD) and 22 matched healthy controls (NC) were administered rating scales assessing apathy and anxiety, and a series of neuropsychological tests. PD patients showed a higher anxiety level than NC. There was a significant association between apathy, anxiety, and disease duration. In LPD, apathy but not anxiety was associated with performance on nonverbally mediated executive function and visuospatial measures, whereas, in RPD, anxiety but not apathy correlated with performance on verbally mediated tasks. Our findings demonstrated a differential association of apathy and anxiety to cognition in PD.

scholarly journals Increased substantia nigra echogenicity correlated with visual hallucinations in Parkinson’s disease: a Chinese population-based study

2019 ◽  
Vol 41 (3) ◽  
pp. 661-667 ◽  
Author(s):  
Ting Li ◽  
Jing Shi ◽  
Bin Qin ◽  
Dongsheng Fan ◽  
Na Liu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Substantia Nigra ◽  
Odds Ratio ◽  
Rating Scales ◽  
Binary Logistic Regression Analysis ◽  
Motor Symptoms ◽  
Visual Hallucinations ◽  
Roc Curve Analysis ◽  
Non Motor Symptoms

AbstractAs a noninvasive technique, transcranial sonography (TCS) of substantia nigra (SN) has gradually showed its effectiveness not only in diagnosis but also in understanding clinical features of Parkinson’s Disease (PD). This study aimed to further evaluate TCS for clinical diagnosis of PD, and to explore the association between sonographic manifestations and visual hallucinations (VH). A total of 226 subjects including 141 PD patients and 85 controls were recruited. All participants received TCS. A series of rating scales to evaluate motor and non-motor symptoms were performed in PD patients. Results showed that 172 subjects were successfully assessed by TCS. The area of SN was greater in PD patients than that in controls (P < 0.001). As receiver-operating characteristic (ROC) curve analysis showed, the best cutoff value for the larger SN echogenicity size was 23.5 mm2 (sensitivity 70.3%, specificity 77.0%). Patients with VH had larger SN area (P = 0.019), as well as higher Non-Motor Symptoms Scale (NMSS) scores (P = 0.018). Moreover, binary logistic regression analysis indicated that SN hyperechogenicity (odds ratio = 4.227, P = 0.012) and NMSS scores (odds ratio = 0.027, P = 0.042) could be the independent predictors for VH. In conclusion, TCS can be used as an auxiliary diagnostic tool for Parkinson’s disease. Increased SN echogenicity is correlated with VH in Parkinson’s disease, possibly because the brain stem is involved in the mechanism in the onset of VH. Further studies are needed to confirm these findings.

scholarly journals Stress and mindfulness in Parkinson’s disease – a survey in 5000 patients

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Anouk van der Heide ◽  
Anne E. M. Speckens ◽  
Marjan J. Meinders ◽  
Liana S. Rosenthal ◽  
Bastiaan R. Bloem ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Perceived Stress ◽  
Online Survey ◽  
Neuropsychiatric Symptoms ◽  
Motor Symptoms ◽  
Dispositional Mindfulness ◽  
Mindfulness Skills ◽  
Self Compassion ◽  
Non Motor Symptoms

AbstractMany Parkinson’s disease (PD) patients notice that motor symptoms worsen during stress, and experience stress-related neuropsychiatric symptoms such as anxiety and depression. Here we investigated which personal and disease characteristics are associated with perceived stress in PD, which PD symptoms are sensitive to stress, and we assessed self-reported benefits of stress-reducing strategies such as mindfulness. We sent an online survey to the Fox Insight cohort (n = 28,385 PD patients, n = 11,413 healthy controls). The survey included specific questions about the influence of stress on PD symptoms, use of stress-reducing strategies, and several validated scales measuring perceived stress, anxiety, dispositional mindfulness, rumination, and self-compassion. We received completed surveys from 5000 PD patients and 1292 controls. Patients perceived more stress than controls. Among patients, stress was correlated with increased rumination (R = 0.65), lower quality of life (R = −0.56), lower self-compassion (R = −0.65), and lower dispositional mindfulness (R = −0.48). Furthermore, patients indicated that stress significantly worsened both motor symptoms – especially tremor – and non-motor symptoms. Physical exercise was most frequently used to reduce stress (83.1%). Mindfulness was practiced by 38.7% of PD respondents, who noticed improvement in both motor and non-motor symptoms. Among non-users, 43.4% were interested in gaining mindfulness skills. We conclude that PD patients experience greater levels of stress than controls, and that stress worsens both motor and non-motor symptoms. Mindfulness may improve PD symptom severity, with the strongest effects on anxiety and depressed mood. These findings justify further controlled studies to establish the merits of mindfulness and other stress-alleviating interventions.

scholarly journals Motor and Non-motor Symptoms Associated With Exercise Behavior in Parkinson's Disease Patients: Factors Differ Between Patients With and Without Postural Instability

2021 ◽  
Vol 12 ◽  
Author(s):  
Joomee Song ◽  
Jinyoung Youn ◽  
Young Eun Huh ◽  
Jun Kyu Mun ◽  
Jong Hyeon Ahn ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Postural Instability ◽  
Exercise Behavior ◽  
Motor Symptom ◽  
Disease Stage ◽  
Motor Symptoms ◽  
Non Motor Symptoms ◽  
Positive Determinant ◽  
Updrs Part

Background: Exercise is an important treatment for Parkinson's disease (PD). Therefore, recognizing determinants of exercise behavior for PD based on disease stage is essential. We sought to find whether the determinants differ based on presence of postural instability (PI), which is indicative of disease stage in PD.Methods: We enrolled patients at Samsung Medical Center from September 2019 to November 2020, who had the ability to perform exercise [modified Hoehn and Yahr (HY) stage ≤ 3]. All the motor and non-motor symptoms were investigated. The exercise of the PD patients was evaluated using the Physical Activity Scale of the Elderly (PASE)-leisure score. We classified patients into PD without PI (HY stage 1 – 2) and PD with PI (HY stage 2.5 – 3) groups. Multivariate linear regression was performed using backward elimination in each group to determine factors associated with PASE-leisure score.Results: A total of 233 patients were enrolled. In the PD without PI group (n = 177), the positive determinant of exercise was Activities-Specific Balance Confidence (ABC) score (β = 0.142, p = 0.032), and the negative determinants were fatigue score (β = −0.228, p = 0.018), female (β = −6.900, p = 0.016) and currently employed status (β = −6.072, p = 0.046). In the PD with PI group (n = 56), the positive determinant was non-motor symptom scale (NMSS) score (β = 0.221, p = 0.017) and disease duration (β = 1.001, p = 0.036), while the negative determinants were UPDRS part 3 score (β = −0.974, p &lt; 0.001), UPDRS part 4 score (β = −2.192, p = 0.002), and age (β = −1.052, p &lt; 0.001).Conclusion: Different motor and non-motor symptoms were associated with the exercise in PD patients with and without PI. When encouraging PD patients to exercise, personalized and different strategies should be applied based on the presence of PI.

scholarly journals CuNA: Cumulant-based Network Analysis of genotype-phenotype associations in Parkinson's Disease

2021 ◽  
Author(s):  
Aritra Bose ◽  
Daniel E. Platt ◽  
Niina Haiminen ◽  
LAXMI PARIDA
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Network Analysis ◽  
Dopaminergic Neurons ◽  
Rating Scales ◽  
Clinical Phenotype ◽  
Motor Symptoms ◽  
Rna Seq ◽  
Phenotype Data ◽  
Non Motor Symptoms

Parkinson's Disease (PD) is a progressive neurodegenerative movement disorder characterized by loss of striatal dopaminergic neurons. Progression of PD is usually captured by a host of clinical features represented in different rating scales. PD diagnosis is associated with a broad spectrum of non-motor symptoms such as depression, sleep disorder as well as motor symptoms such as movement impairment, etc. The variability within the clinical phenotype of PD makes detection of the genes associated with early onset PD a difficult task. To address this issue, we developed CuNA, a cumulant-based network analysis algorithm that creates a network from higher-order relationships between eQTLs and phenotypes as captured by cumulants. We also designed a multi-omics simulator, CuNAsim to test CuNA's qualitative accuracy. CuNA accurately detects communities of clinical phenotypes and finds genes associated with them. When applied on PD data, we find previously unreported genes INPP5J, SAMD1 and OR4K13 associated with symptoms of PD affecting the kidney, muscles and olfaction. CuNA provides a framework to integrate and analyze RNA-seq, genotype and clinical phenotype data from complex diseases for more targeted diagnostic and therapeutic solutions in personalized medicine. CuNA and CuNAsim binaries are available upon request.

scholarly journals Depression Is Associated With Constipation in Patients With Parkinson's Disease

2020 ◽  
Vol 11 ◽  
Author(s):  
Qin Xiao-ling ◽  
Chen Gang ◽  
Lu Bo ◽  
Li Zai-li ◽  
Liu Xue-kui ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Rating Scales ◽  
Clinical Stage ◽  
Motor Symptom ◽  
Motor Symptoms ◽  
Depression And Anxiety ◽  
Non Motor Symptoms

Objective: Constipation is one of the most frequent non-motor symptoms (NMS) in Parkinson's disease (PD), causing great disturbance to patients. The present study investigated the prevalence and the clinical features of constipation in patients with PD and explored the difference between prodromal and clinical constipation of PD.Methods: A total of 186 patients with PD were recruited into this study. Subjective constipation was defined by ROME III criteria. Demographic and PD-related clinical information of the participants were collected. The PD patients were objectively assessed by a spectrum of rating scales of motor symptoms, non-motor symptoms, and quality of life.Results: In total, 51.61% (96/186) of PD patients suffer from constipation. Compared with patients without constipation, the patients with constipation were prone to have restless leg syndrome, depression, and anxiety and have higher scores of the non-motor symptoms scale. Among patients with constipation, 21.88% (21/96) patients had constipation in prodromal stage. Compared with patients with constipation in clinical stage, patients with prodromal constipation had a lower age of constipation onset (56.48 ± 9.63 and 65.26 ± 8.42, χ2 = 4.091, P &lt; 0.001), longer timespan from constipation onset to motor symptom onset (6.62 ± 3.91 and 3.18 ± 2.13, χ2 = −3.877, P = 0.001). Patients with prodromal constipation were predominantly tremor onset (χ2 = 4.405, P = 0.044) and usually had a better quality of life [28 (14.50–37.5) and 40 (25.0–55.0), χ2 = 2.011, P = 0.046]. Depression was the only risk factor of constipation in PD patients. Body mass index, depression, and anxiety were factors that affected the life quality in patients with constipation.Conclusions: Our results supported the high incidence of constipation in patients with PD and that, in some patients, constipation occurred before the onset of motor symptoms. The specific clinical characteristics of patients with constipation and with prodromal constipation help to make early diagnosis, to discover the relationship between constipation and PD, and to further explore the pathogenesis of this degenerative disease.

NON MOTOR SYMPTOMS IN PARKINSON’S DISEASE PATIENTS: A HOSPITAL BASED PROSPECTIVE STUDY.

2019 ◽  
Vol 3 (10) ◽  
Author(s):  
Dr. Atul Baid ◽  
Dr. Chhavi Raman Baid
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Neuropsychiatric Symptoms ◽  
Gastrointestinal Symptoms ◽  
Motor Symptoms ◽  
Yahr Stage ◽  
Brain Bank ◽  
Unexplained Pain ◽  
Office Software ◽  
Non Motor Symptoms

Objectives: This present study was to evaluate the clinical profile and prevalence of non motor symptoms in Parkinson’s disease patients on the basis of various system involvements. Methods: Detail history, clinical examination and relevant investigations were performed to all cases of Parkinson’s disease patients. The diagnosis of Parkinson’s disease was confirmed by UKPDS Brain Bank Criteria. Neurological examination was conducted for MMSE scores and H and Y staging. Results: Data was analyzed by using simple statistical methods with help of Ms-Office software. Data was tabulated and percentages were calculated. Conclusions: Parkinson’s disease was commonly occurred in old age male populations. Most of the cases had H & Y stage 2. Non motor symptoms were progressed as the stage of Parkinson’s disease progressed. Nausea, unsatisfactory bowel voiding and constipation were common gastrointestinal symptoms. Decreased libido, orthostatic hypotension, nocturia and hypo/hyper Sexuality were common autonomic dysfunction. Insomnia, Restless Leg and Behavioural limb movements were common sleep disorders. Dementia, attention deficit, anhedonia and apathy were common neuropsychiatric symptoms seen in patients with Parkinson’s disease. Common sensory symptoms were unexplained Pain (Paraesthesia) and hyposmia. Other common symptoms of Parkinson’s disease patients had swelling of leg, falls and weight gain. Hence early diagnosis, management and awareness are essential for improvement of quality of life of patients with Parkinson’s disease. Keywords:  Parkinson’s disease, non motor symptoms, Hoehn & Yahr stage, UKPDS Brain Bank Criteria

scholarly journals Predictors of Global Non-Motor Symptoms Burden Progression in Parkinson’s Disease. Results from the COPPADIS Cohort at 2-Year Follow-Up

2021 ◽  
Vol 11 (7) ◽  
pp. 626
Author(s):  
Diego Santos-García ◽  
Teresa de Deus ◽  
Carlos Cores ◽  
Hector Canfield ◽  
Jose Paz González ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Problems ◽  
Neuropsychiatric Symptoms ◽  
Control Group ◽  
Motor Symptoms ◽  
Linear Regression Models ◽  
Watson Test ◽  
Non Motor Symptoms

Background and Objective: Non-motor symptoms (NMS) progress in different ways between Parkinson’s disease (PD) patients. The aim of the present study was to (1) analyze the change in global NMS burden in a PD cohort after a 2-year follow-up, (2) to compare the changes with a control group, and (3) to identify predictors of global NMS burden progression in the PD group. Material and Methods: PD patients and controls, recruited from 35 centers of Spain from the COPPADIS cohort from January 2016 to November 2017, were followed-up with after 2 years. The Non-Motor Symptoms Scale (NMSS) was administered at baseline (V0) and at 24 months ± 1 month (V2). Linear regression models were used for determining predictive factors of global NMS burden progression (NMSS total score change from V0 to V2 as dependent variable). Results: After the 2-year follow-up, the mean NMS burden (NMSS total score) significantly increased in PD patients by 18.8% (from 45.08 ± 37.62 to 53.55 ± 42.28; p < 0.0001; N = 501; 60.2% males, mean age 62.59 ± 8.91) compared to no change observed in controls (from 14.74 ± 18.72 to 14.65 ± 21.82; p = 0.428; N = 122; 49.5% males, mean age 60.99 ± 8.32) (p < 0.0001). NMSS total score at baseline (β = −0.52), change from V0 to V2 in PDSS (Parkinson’s Disease Sleep Scale) (β = −0.34), and change from V0 to V2 in NPI (Neuropsychiatric Inventory) (β = 0.25) provided the highest contributions to the model (adjusted R-squared 0.41; Durbin-Watson test = 1.865). Conclusions: Global NMS burden demonstrates short-term progression in PD patients but not in controls and identifies worsening sleep problems and neuropsychiatric symptoms as significant independent predictors of this NMS progression.

scholarly journals MNCD: A New Tool for Classifying Parkinson’s Disease in Daily Clinical Practice

Diagnostics ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 55
Author(s):  
Diego Santos García ◽  
María Álvarez Sauco ◽  
Matilde Calopa ◽  
Fátima Carrillo ◽  
Francisco Escamilla Sevilla ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Disturbances ◽  
Tnm Classification ◽  
Neuropsychiatric Symptoms ◽  
Motor Symptoms ◽  
Simple Classification ◽  
Axial Symptoms ◽  
Stage 1 ◽  
Non Motor Symptoms

Background and objective: Parkinson’s disease (PD) is a clinically heterogeneous disorder in which the symptoms and prognosis can be very different among patients. We propose a new simple classification to identify key symptoms and staging in PD. Patients and Methods: Sixteen movement disorders specialists from Spain participated in this project. The classification was consensually approved after a discussion and review process from June to October 2021. The TNM classification and the National Institutes of Health Stroke Scale (NIHSS) were considered as models in the design. Results: The classification was named MNCD and included 4 major axes: (1) motor symptoms; (2) non-motor symptoms; (3) cognition; (4) dependency for activities of daily living (ADL). Motor axis included 4 sub-axes: (1) motor fluctuations; (2) dyskinesia; (3) axial symptoms; (4) tremor. Four other sub-axes were included in the non-motor axis: (1) neuropsychiatric symptoms; (2) autonomic dysfunction; (3) sleep disturbances and fatigue; (4) pain and sensory disorders. According to the MNCD, 5 stages were considered, from stage 1 (no disabling motor or non-motor symptoms with normal cognition and independency for ADL) to 5 (dementia and dependency for basic ADL). Conclusions: A new simple classification of PD is proposed. The MNCD classification includes 4 major axes and 5 stages to identify key symptoms and monitor the evolution of the disease in patients with PD. It is necessary to apply this proof of concept in a properly designed study.

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