A Pilot Study of Telehealth Mindfulness-Based Cognitive Therapy for Depression in Parkinson's Disease

Reward and Punishment Learning as Predictors of Cognitive Behavioral Therapy Response in Parkinson's Disease Comorbid with Clinical Depression

Depression is highly comorbid among individuals with Parkinson's Disease (PD), who often experience unique challenges to accessing and benefitting from empirically supported interventions like Cognitive Behavioral Therapy (CBT). Given the role of reward processing in both depression and PD, this study analyzed a subset (N = 25) of participants who participated in a pilot telemedicine intervention of PD-informed CBT, and also completed a Reward- and Punishment-Learning Task (RPLT) at baseline. At the conclusion of CBT, participants were categorized into treatment responders (n = 14) and non-responders (n = 11). Responders learned more optimally from negative rather than positive feedback on the RPLT, while this pattern was reversed in non-responders. Computational modeling suggested group differences in learning rate to negative feedback may drive the observed differences. Overall, the results suggest that a within-subject bias for punishment-based learning might help to predict response to CBT intervention for depression in those with PD.Plain Language Summary Performance on a Computerized Task may predict which Parkinson's Disease Patients benefit from Cognitive Behavioral Treatment of Clinical DepressionWhy was the study done? Clinical depression regularly arises in individuals with Parkinson's Disease (PD) due to the neurobiological changes with the onset and progression of the disease as well as the unique psychosocial difficulties associated with living with a chronic condition. Nonetheless, psychiatric disorders among individuals with PD are often underdiagnosed and likewise undertreated for a variety of reasons. The results of our study have implications about how to improve the accuracy and specificity of mental health treatment recommendations in the future to maximize benefits for individuals with PD, who often face additional barriers to accessing quality mental health treatment.What did the researchers do? We explored whether performance on a computerized task called the Reward- and Punishment-Learning Task (RPLT) helped to predict response to Cognitive Behavioral Therapy (CBT) for depression better than other predictors identified in previous studies. Twenty-five individuals with PD and clinical depression that completed a 10-week telehealth CBT program were assessed for: Demographics (Age, gender, etc.); Clinical information (PD duration, mental health diagnoses, levels of anxiety/depression, etc.); Neurocognitive performance (Memory, processing speed, impulse control, etc.); and RPLT performance.What did the researchers find? A total of 14 participants significantly benefitted from CBT treatment while 11 did not significantly benefit from treatment.There were no differences before treatment in the demographics, clinical information, and neurocognitive performance of those participants who ended up benefitting from the treatment versus those who did not.There were, however, differences before treatment in RPLT performance so that those individuals that benefitted from CBT seemed to learn better from negative feedback.What do the findings mean? Our results suggest that the CBT program benefitted those PD patients with clinical depression that seemed to overall learn best from avoiding punishment rather than obtaining reward which was targeted in CBT by focusing on increasing engagement in rewarding activities. The Reward- and Punishment-Learning Task hence may be a useful tool to help predict treatment response and provide more individualized recommendations on how to best maximize the benefits of psychotherapy for individuals with PD that may struggle to connect to mental health care. Caution is recommended about interpretating these results beyond this study as the overall number of participants was small and the data for this study were collected as part of a previous study so there was no opportunity to include additional measurements of interest.

Mindfulness in Pregnancy and Postpartum: Protocol of a Pilot Randomized Trial of Virtually Delivered Mindfulness-Based Cognitive Therapy to Promote Well-Being during the Perinatal Period

BACKGROUND

During the period from pregnancy through the first year postpartum, vulnerable individuals are at elevated risk for the onset or worsening of psychological distress, and accessible (e.g., virtually delivered) mental health interventions are needed. Research suggests that Mindfulness-Based Cognitive Therapy (MBCT) can effectively mitigate psychological distress, although few studies have evaluated MBCT in the perinatal period, and samples have been clinically homogenous. Thus, we have designed and are conducting a pilot trial of virtually delivered MBCT with pregnant individuals experiencing a range of psychological symptoms to assess its feasibility and preliminarily explore its effectiveness. Here, we present the study protocol.

METHODS

Eligible participants (target N = 70) are ≥18 years with pregnancies between 12 and 30 weeks of gestation. Participants complete a diagnostic interview, self-report symptom ratings, and a computerized cognitive battery assessing self-regulation at the baseline. Participants are then randomized to either MBCT or care as usual. The MBCT intervention involves eight weekly group sessions delivered virtually, with each session focusing on a mindfulness practice followed by group discussion and skill development. Participants in the intervention group are also encouraged to practice mindfulness skills between sessions. Participants in the control condition are provided with information about mindfulness and treatment resources. Baseline measures are repeated following the eight-week intervention period and at three months postpartum.

CONCLUSIONS

This pilot study is designed to evaluate the feasibility of virtually delivered MBCT and explore group differences in psychological symptoms during the perinatal period, and will lay the foundation for a larger clinical trial focused on optimizing this intervention to improve psychological functioning among diverse pregnant individuals.

The Effects of Mindfulness-Based Interventions in People with Parkinson's Disease: A Systematic Review and Meta-Analysis

OBJECTIVES

To examine the effectiveness of mindfulness-based interventions (MBIs) on psychological symptoms, motor symptoms, and quality of life in patients with Parkinson's disease (PD).

METHODS

Published studies in Chinese and English languages, conducted from inception to March 2023, were identified by searching PubMed, Web of Science, Cochrane Library, CINAHL, PsycINFO, and two Chinese electronic databases. The systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta Analyses guidelines.

RESULTS

Twelve studies were selected for quantitative syntheses. The impact of MBIs on reducing depression and anxiety, and improving mindfulness and quality of life in PD patients was statistically significant compared to the control group. However, no statistically significant effect on motor symptoms was observed. Subgroup analysis indicated that participants from Asia, those who received face-to-face sessions, and those whose sessions lasted 1.5 hours showed a more positive effect than other subgroups.

CONCLUSIONS

Patients with PD may benefit from MBIs to improve psychological symptoms and quality of life. MBIs represent a pivotal non-pharmacological therapeutic approach in clinical practice.

CLINICAL IMPLICATIONS

MBIs confer positive improvements in psychological well-being and quality of life in PD patients. However, it remains challenging to conclusively determine their efficacy in addressing motor symptoms.

Updates in Parkinson's Disease Integrative Therapies: an Evidence-Based Review

PURPOSE OF REVIEW

This review summarizes recent evidence-based integrative therapies for Parkinson's disease (PD) that may improve motor and non-motor symptoms, enhance quality of life, and alter disease progression.

RECENT FINDINGS

Imaging studies have demonstrated that aerobic exercise changes brain structure and function, while strength training improves posture and balance. Loneliness is associated with worsening PD severity, but social prescribing and cognitive behavioral therapy may effectively foster connections. Ayurvedic and traditional Chinese medicine practices including yoga, meditation, tai chi, and acupuncture may help improve mobility, mood, sleep, and quality of life. Art therapy enhances visuospatial skills, whereas music and dance therapy can alleviate freezing of gait. Several studies demonstrate successful use of these integrative strategies virtually, thereby improving patient accessibility and participation. PD management has broadened to include integrative approaches combining conventional and complementary therapies. Potential benefits of movement, nutrition, sleep, socialization, and mind-body practices have been confirmed with several recent randomized controlled trials.

Mindfulness or meditation therapy for Parkinson's disease: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Parkinson's disease (PD) is the second most common neurodegenerative disorder worldwide. Mindfulness and meditation therapies have been demonstrated as effective alternative treatments for patients with neurological disorders. However, the effects of mindfulness and meditation therapies on PD remain unclear. This meta-analysis investigated the effects of mindfulness and meditation therapies in PD patients.

METHODS

A literature search was conducted using PubMed, Embase, Cochrane Library, and ClinicalTrials.gov for randomized controlled trials comparing mindfulness and meditation therapies with control treatments in patients with PD.

RESULTS

Nine articles involving eight trials were included, with a total of 337 patients. Our meta-analysis revealed that mindfulness and meditation therapies significantly improved Unified Parkinson's Disease Rating Scale-Part III score (mean difference [MD] = -6.31, 95% confidence interval [95% CI] = -8.57 to -4.05) and cognitive function (standard mean difference [SMD] = 0.62, 95% CI = 0.23 to 1.02). However, no significant differences were discovered between mindfulness therapies and control in gait velocity (MD = 0.05, 95% CI = -0.23 to 0.34), Parkinson's Disease Questionnaire-39 Summary Index (MD = 0.51, 95% CI = -1.12 to 2.14), activities of daily living (SMD = -1.65, 95% CI = -3.74 to 0.45), depression (SMD = -0.43, 95% CI = -0.97 to 0.11), anxiety (SMD = -0.80, 95% CI = -1.78 to 0.19), pain (SMD = 0.79, 95% CI = -1.06 to 2.63), or sleep disturbance (SMD = -0.67, 95% CI = -1.58 to 0.24).

CONCLUSION

Mindfulness and meditation therapies may serve as complementary and alternative treatments for PD patients.

Reducing depression and anxiety symptoms in patients with Parkinson's disease: The effectiveness of group cognitive behavioral therapy

INTRODUCTION

/Objective: The aim of this study was to investigate the effectiveness of group cognitive behavioral therapy in depression and anxiety symptoms in patients with Parkinson's Tehran city.

METHODS

This quasi-experimental study was conducted with experimental and control groups at pretest, posttest, and follow-up. Patients 60-75 years old with Parkinson's disease centers and psychiatric services made up the study population. Based on a random sample of 90 people in Tehran city who scored highly on both the Beck Anxiety Inventory and the Beck Depression Scale, in two 45-person groups-the experimental group and the control group-were randomly assigned. The experimental group underwent group cognitive behavioral therapy for 8 weeks, while the control group just received training once per week. Methods of analysis of variance with repeated measures were employed to test the hypotheses.

RESULTS

The outcomes showed the independent variable is successful in lowering symptoms of anxiety and depression. Patients with Parkinson's disease who participated in group cognitive behavioral therapy for stress reduction showed a reduction in their anxiety and depressive symptoms.

CONCLUSION

Effective psychological interventions, like group cognitive behavioral therapy, can improve mood, lessen anxiety and depression, and help patients adhere more closely to treatment guidelines. As a result, these patients can help prevent the complications of Parkinson's disease and take effective action to raise their level of physical and mental health.

Neurobiology of depression in Parkinson's disease: Insights into epidemiology, molecular mechanisms and treatment strategies

Parkinson's disease (PD) is characterized mainly by motor dysfunctions due to the progressive loss of dopaminergic neurons. However, PD patients experience a multitude of debilitating non-motor symptoms, including depression, which may have deleteriously detrimental effects on life. Depression is multifactorial and exhibits a bimodal progression in PD, but its underlying molecular mechanisms are poorly understood. Studies demonstrating the pathophysiology of depression in PD and the specific treatment strategies for depression-like symptoms in PD patients are largely lacking, often underrated, under-recognized and, consequently, inadequately/under-treated. Nevertheless, reports suggest that the incidence of depression is approximately 20-30% of PD patients and may precede the onset of motor symptoms. Diagnosing depression in PD becomes difficult due to the clinical overlap in symptomatology between the two diseases, and the nigrostriatal dysfunction alone is insufficient to explain depressive symptoms in PD. Therefore, the current study provides an overview of the molecular mechanisms underlying the development of depression in PD and new insights into developing current antidepressant strategies to treat depression in PD. This review will identify and understand the molecular pathological mechanisms of depression in PD that will fundamentally help tailoring therapeutic interventions for depressive symptoms in PD.