Depression and posture in patients with Parkinson's disease

Association between falls and nonmotor symptoms in patients with Parkinson's disease

INTRODUCTION

Parkinson's disease (PD) is a chronic neurodegenerative disorder. Falls are common in patients with PD and can lead to disability, bedridden status, and death. The mechanisms of falls induced by symptoms of PD have not been fully clarified. We investigated the association between falls and nonmotor symptoms in PD patients.

METHODS

A total of 361 patients with Parkinson's disease were included. Whether the patients had fallen in the past half a year was recorded. Nonmotor symptoms were assessed by 30 items from the nonmotor symptom questionnaire (NMS Quest), Parkinson's Disease Sleep Scale (PDSS), Hamilton Depression Scale (HAMD), Hamilton Anxiety Scale (HAMA), and Montreal Cognitive Assessment Scale (MOCA).

RESULTS

A total of 63 patients experienced falls in the past six months, with an incidence of 17.5%. The patients with falls were elderly, had severe motor symptoms and disease severity, and the proportion of diabetic patients who experienced falls was higher. Adjusted for the above factors, the results showed that patients with falls had higher PD-NMS, HAMD and HAMA scores, but there was no significant difference in the total score and subscores of the MoCA scale between the two groups. The risk factors related to falling included age, history of diabetes, depression (HAMD), HAMD cognitive impairment, NMS urinary tract and NMS postural hypotension.

CONCLUSIONS

Falls were a common symptom in patients with PD and were not only related to motor symptoms but also closely related to nonmotor symptoms. urinary tract symptoms, postural hypotension, depression and HAMD cognitive impairment were risk factors related to falling in patients with PD.

Pharmacological and Non-Pharmacological Treatments for Depression in Parkinson's Disease: An Updated Review

Depression represents one of the most common non-motor disorders in Parkinson's disease (PD) and it has been related to worse life quality, higher levels of disability, and cognitive impairment, thereby majorly affecting not only the patients but also their caregivers. Available pharmacological therapeutic options for depression in PD mainly include selective serotonin reuptake inhibitors, serotonin and norepinephrine reuptake inhibitors, and tricyclic antidepressants; meanwhile, agents acting on dopaminergic pathways used for motor symptoms, such as levodopa, dopaminergic agonists, and monoamine oxidase B (MAO-B) inhibitors, may also provide beneficial antidepressant effects. Recently, there is a growing interest in non-pharmacological interventions, including cognitive behavioral therapy; physical exercise, including dance and mind-body exercises, such as yoga, tai chi, and qigong; acupuncture; therapeutic massage; music therapy; active therapy; repetitive transcranial magnetic stimulation (rTMS); and electroconvulsive therapy (ECT) for refractory cases. However, the optimal treatment approach for PD depression is uncertain, its management may be challenging, and definite guidelines are also lacking. It is still unclear which of these interventions is the most appropriate and for which PD stage under which circumstances. Herein, we aim to provide an updated comprehensive review of both pharmacological and non-pharmacological treatments for depression in PD, focusing on recent clinical trials, systematic reviews, and meta-analyses. Finally, we discuss the pharmacological agents that are currently under investigation at a clinical level, as well as future approaches based on the pathophysiological mechanisms underlying the onset of depression in PD.

Depressive symptoms and axial motor disorders in individuals with Parkinson's disease: a cross-sectional study

BACKGROUND

Depression is an important nonmotor symptom of Parkinson's disease (PD) and has been associated with the motor symptoms in these individuals.

OBJECTIVES

To determine whether there are relationships between depressive symptoms and abnormalities in axial postural alignment and axial motor deficits, especially postural instability, and trunk rigidity in PD.

METHODS

In this cross-sectional study, 65 individuals were evaluated using the Beck Depression Inventory-II (BDI-II) for the analysis of depressive symptoms and underwent a postural assessment of head, trunk, and hip sagittal alignment through computerized photogrammetry. The MDS-UPDRS was used to assess clinical aspects of PD, the Trunk Mobility Scale was used to assess axial rigidity, and the MiniBESTest to assess balance. To determine the relationship between depressive symptoms and postural alignment, multiple linear regression analysis was performed.

RESULTS

The participants with depressive symptoms had more severe motor deficits as well as greater trunk rigidity and worse postural instability (p < 0.05). When the postural angles were compared between men and women using Student's t-test, it was found that men had greater flexion angles of the head (p = 0.003) and trunk (p = 0.017). Using multiple linear regression analysis corrected for the age and sex of the participants, we verified that the anterior trunk inclination was significantly larger in the PD population with depressive symptoms (R²= 0.453, β = 0.116, and p = 0.045).

CONCLUSION

PD individuals with depressive symptoms have more severe flexed trunk posture, mainly in older men. Additionally, more severe depressive symptoms are associated with worsening postural instability, trunk rigidity and motor deficits in this population.

Axial posture disorders in Parkinson's disease: Clinical correlates and future treatment directions1

BACKGROUND

Postural disorders are frequently observed in Parkinson's disease (PD). The underlying mechanisms that cause postural disorders are not fully understood and the majority of these disorders have no response to antiparkinsonian treatments. These disabling conditions require further investigation to better understand the underlying mechanisms in order to develop effective treatments.

OBJECTIVE

The aim of this study was to investigate the frequency of axial postural disorders in PD and to determine the associated clinical risk factors.

METHODS

In this single-center clinical trial, the data of PD patients were reviewed retrospectively. The frequencies of postural disorders were determined, and the demographic clinical characteristics of the patients were compared.

RESULTS

The records of 127 patients with idiopathic PD were analyzed. Axial posture disorders were found in 42.6% of patients. Patients with axial posture disorders were older when the disease onset was detected, amongst these patients the condition was also longer lasting. The mean levodopa dose was higher in the patients with posture disorders. The initial symptom was bradykinesia and the Hoehn and Yahr's score was ⩾ 3 in the majority of the patients with posture disorder. Additionally, constipation, hallucinations, postural instability, and falls were significantly more common in patients with posture disorders.

CONCLUSION

Posture disorders were observed in nearly half of PD patients and were more frequently observed in patients with an advanced condition. In addition, our investigation has found that it is crucial to follow up with patients who present with bradykinesia for the development of postural disorder.

Validation of Visual and Auditory Digital Markers of Suicidality in Acutely Suicidal Psychiatric Inpatients: Proof-of-Concept Study

BACKGROUND

Multiple symptoms of suicide risk have been assessed based on visual and auditory information, including flattened affect, reduced movement, and slowed speech. Objective quantification of such symptomatology from novel data sources can increase the sensitivity, scalability, and timeliness of suicide risk assessment.

OBJECTIVE

We aimed to examine measurements extracted from video interviews using open-source deep learning algorithms to quantify facial, vocal, and movement behaviors in relation to suicide risk severity in recently admitted patients following a suicide attempt.

METHODS

We utilized video to quantify facial, vocal, and movement markers associated with mood, emotion, and motor functioning from a structured clinical conversation in 20 patients admitted to a psychiatric hospital following a suicide risk attempt. Measures were calculated using open-source deep learning algorithms for processing facial expressivity, head movement, and vocal characteristics. Derived digital measures of flattened affect, reduced movement, and slowed speech were compared to suicide risk with the Beck Scale for Suicide Ideation controlling for age and sex, using multiple linear regression.

RESULTS

Suicide severity was associated with multiple visual and auditory markers, including speech prevalence (β=-0.68, P=.02, r2=0.40), overall expressivity (β=-0.46, P=.10, r2=0.27), and head movement measured as head pitch variability (β=-1.24, P=.006, r2=0.48) and head yaw variability (β=-0.54, P=.06, r2=0.32).

CONCLUSIONS

Digital measurements of facial affect, movement, and speech prevalence demonstrated strong effect sizes and linear associations with the severity of suicidal ideation.

Remote Digital Measurement of Facial and Vocal Markers of Major Depressive Disorder Severity and Treatment Response: A Pilot Study

Objectives: Multiple machine learning-based visual and auditory digital markers have demonstrated associations between major depressive disorder (MDD) status and severity. The current study examines if such measurements can quantify response to antidepressant treatment (ADT) with selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine uptake inhibitors (SNRIs). Methods: Visual and auditory markers were acquired through an automated smartphone task that measures facial, vocal, and head movement characteristics across 4 weeks of treatment (with time points at baseline, 2 weeks, and 4 weeks) on ADT (n = 18). MDD diagnosis was confirmed using the Mini-International Neuropsychiatric Interview (MINI), and the Montgomery-Åsberg Depression Rating Scale (MADRS) was collected concordantly to assess changes in MDD severity. Results: Patient responses to ADT demonstrated clinically and statistically significant changes in the MADRS [F (2, 34) = 51.62, p < 0.0001]. Additionally, patients demonstrated significant increases in multiple digital markers including facial expressivity, head movement, and amount of speech. Finally, patients demonstrated significantly decreased frequency of fear and anger facial expressions. Conclusion: Digital markers associated with MDD demonstrate validity as measures of treatment response.

Efficacy of Traditional Chinese Medicine Combined with Selective Serotonin Reuptake Inhibitors on the Treatment for Parkinson’s Disease with Depression: A Systematic Review and Meta-Analysis

Depression is a common neuropsychiatric symptom of Parkinson’s disease (PD), resulting in a lower quality of life and cognitive impairment in PD patients. Traditional Chinese medicine (TCM) formulas have been widely used in neurodegenerative disease and neuropsychic disorders to improve life quality of patients in ethnomedicine. TCM formulas combined with selective serotonin reuptake inhibitors (SSRIs) also have a positive effect on depressed PD compared with SSRIs as reported by several clinical studies. However, the results are discordant and failed to be conclusive. We aim to evaluate the efficacy of TCM formulas combined with SSRIs for depressed PD in this systematic review. We searched literatures from PubMed, Web of Science, Medline, Embase, Google Scholar, Chinese National Knowledge Infrastructure, Wanfang Database, and VIP Information Database before July 2020. We included randomized controlled trials investigating the efficacy of TCM formulas combined with SSRIs on depressed PD patients. This analysis was according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Eleven randomized clinical trials involving 861 subjects were enrolled in this analysis. The overall results showed that TCM formulas combined with SSRIs significantly improved the depression score [weighted mean difference (WMD): −4.920, 95% confidence interval (CI): (−5.999, −3.840); [Formula: see text]¡ 0.001] and had a statistical significance on Unified Parkinson’s Disease Rating Scale II score [WMD: −1.209, 95% CI: (−1.561, −0.857); [Formula: see text] < 0.001]. Furthermore, we observed that Chai-Hu-Shu-Gan Powder combined with SSRIs had a significant improvement on the depressive symptom in PD compared to the SSRIs alone [WMD: −5.390, 95% CI: (−7.66, −3.11); [Formula: see text] < 0.001]. No severe side events were reported in these included trials. This systematic review provided the evidences that TCM formulas combined with SSRIs might be helpful and safe in the treatment of depression of PD, including Chai-Hu-Shu-Gan Powder. Also, more randomized double-blinded trials with reliable design are required in the future.

Wuqinxi Exercise Improves Hand Dexterity in Patients with Parkinson's Disease

Objective

This study was designed to evaluate the effect of Wuqinxi after one session and 12-week intervention on hand dexterity in patients with Parkinson's disease (PD).

Methods

Forty-six elderly participants with mild-to-moderate PD were randomly assigned to the groups trained with Wuqinxi (n = 23) or stretching (n = 23). All participants practiced 60 min session of either of these exercises, 2 sessions a week for 12 weeks in standing position. The score of Purdue Pegboard Test (PPT) and time for Soda Pop Test (SPT) were performed to assess hand dexterity and motor function along assessing the 39 items of Parkinson's Disease Questionnaire before and after 12-week interventions. In addition, the PPT scores were compared before vs. after one session of either of these two exercise modes.

Results

Single session with either Wuqinxi or stretching exercise tended to improve PPT scores in PD patients. Furthermore, the improved SPT time was significant (P < 0.01) following 12-week training interventions with Wuqinxi (−1.32 ± 0.38 sec) or stretching (−0.89 ± 0.16 sec), which showed no group difference (P=0.734). However, only the participants in Wuqinxi group significantly improved the PPT scores of the dominant hand (+0.61 ± 1.34), both hand (+1.83 ± 3.13) and assemble (+2.04 ± 3.44) performance after 12-week training intervention. In parallel with improved hand dexterity and motor function, 12-week Wuqinxi training also significantly improved the patient's emotional wellbeing.

Conclusion

The Wuqinxi intervention could be safely and effectively applied to improve hand dexterity following single-session exercise or 12-week training, which were accompanied by improved quality of life in patients with mild-to-moderate PD.

Impact of depression on gait variability in Parkinson's disease

OBJECTIVE

The goal of this study was to analyze how depression associated with Parkinson's disease (PD) affected gait variability in these patients using a dual-task paradigm. Additionally, the dependency of the executive functions and the impact of depression on gait variability were analyzed.

PATIENTS AND METHODS

Three subject groups were included: patients with PD, but no depression (PD-NonDep; 14 patients), patients with both PD and depression (PD-Dep; 16 patients) and healthy controls (HC; 15 subjects). Gait was recorded using the wireless sensors. The participants walked under four conditions: single-task, motor dual- task, cognitive dual-task, and combined dual-task. Variability of stride length, stride duration, and swing time was calculated and analyzed using the statistical methods.

RESULTS

Variability of stride duration and stride length were not significantly different between PD-Dep and PD-NonDep patients. The linear mixed model showed that swing time variability was statistically significantly higher in PD-Dep patients compared to controls (p = 0.001). Hamilton Disease Rating Scale scores were significantly correlated with the swing time variability (p = 0.01). Variability of all three parameters of gait was significantly higher while performing combined or cognitive task and this effect was more pronounced in PD-Dep group of patients.

CONCLUSIONS

Depression in PD was associated with swing time variability, and this effect was more prominent while performing a dual-task.

SIGNIFICANCE

Diagnosing and treating depression might be important for gait improvement and fall reduction in PD patients.

A novel semi-supervised multi-view clustering framework for screening Parkinson's disease

In recent years, there are many research cases for the diagnosis of Parkinson's disease (PD) with the brain magnetic resonance imaging (MRI) by utilizing the traditional unsupervised machine learning methods and the supervised deep learning models. However, unsupervised learning methods are not good at extracting accurate features among MRIs and it is difficult to collect enough data in the field of PD to satisfy the need of training deep learning models. Moreover, most of the existing studies are based on single-view MRI data, of which data characteristics are not sufficient enough. In this paper, therefore, in order to tackle the drawbacks mentioned above, we propose a novel semi-supervised learning framework called Semi-supervised Multi-view learning Clustering architecture technology (SMC). The model firstly introduces the sliding window method to grasp different features, and then uses the dimensionality reduction algorithms of Linear Discriminant Analysis (LDA) to process the data with different features. Finally, the traditional single-view clustering and multi-view clustering methods are employed on multiple feature views to obtain the results. Experiments show that our proposed method is superior to the state-of-art unsupervised learning models on the clustering effect. As a result, it may be noted that, our work could contribute to improving the effectiveness of identifying PD by previous labeled and subsequent unlabeled medical MRI data in the realistic medical environment.

Flexed Posture in Parkinson Disease: Associations With Nonmotor Impairments and Activity Limitations

BACKGROUND

People with Parkinson disease (PD) are twice as likely to develop flexed truncal posture as the general older population. Little is known about the mechanisms responsible beyond associations with age, axial motor impairments, and disease severity.

OBJECTIVE

The objective was to explore: (1) the associations of the nonmotor impairments of PD with flexed posture, and (2) the relationships of flexed posture with activity limitations.

DESIGN

This was a cross-sectional study.

METHODS

Seventy people with PD participated. Posture was measured in standing as the distance between the seventh cervical vertebra and a wall. Nonmotor impairments (cognition, depression, pain, fatigue, and proprioception) and activity performance (upper limb activity, bed transfers, respiratory function, and speech volume) were variously assessed using objective measures and self-report questionnaires. Univariate and multivariate regression analyses were performed to ascertain relationships between nonmotor impairments and truncal posture, and between truncal posture and activities.

RESULTS

Greater disease severity, greater axial impairment, poorer spinal proprioception, greater postural fatigue, and male sex were significantly associated with flexed truncal posture. The multivariate model containing these factors in addition to age explained 30% of the variability in flexed truncal posture, with male sex and axial motor impairment continuing to make independent contributions. A significant association was found between greater flexed truncal posture and poorer upper limb activity performance and respiratory function.

LIMITATIONS

A limitation to this study was that participants had mild-to-moderate disease severity.

CONCLUSIONS

Spinal proprioception and postural fatigue were the only nonmotor impairments to make significant contributions to flexed posture. Given the negative influence of flexed posture on upper limb activity and respiratory function, interventions targeting spinal proprioception and postural awareness should be considered for people with PD who might develop flexed posture.