Changes in Apathy, Depression, and Anxiety in Parkinson's Disease from before to during the COVID-19 Era.

Apathy, depression, and anxiety are common non-motor symptoms of Parkinson's disease (PD). Tracking the changes in such symptoms over time would be valuable not only to determine their natural course during the disease, but also to establish the effects of unusual historical events interacting with the natural course. Having collected data on apathy (Apathy Scale), depression (Beck Depression Inventory-II), and anxiety (Parkinson's Anxiety Scale) in a large sample of persons with PD (PwPD) before the beginning of the COVID-19 era, we followed up with these individuals to investigate the changes in their prevalence of apathy, depression, and anxiety across two timepoints (T1 and T2). Of the original 347 participants, 111 responded and provided complete data at T2. The data collection at T1, before COVID-19, occurred between 2017-2018. The data collection at T2 occurred in 2021 and included the same measures, with the addition of the Coronavirus Impact Scale to assess the effects of the pandemic on the individual participants. Over this period, there was a significant increase in apathy, but not in depression or anxiety. Anxiety and depression, but not apathy, were correlated with the impact of COVID-19.NA - Clara Mayo Memorial Research Fellowship, Department of Psychological and Brain Sciences, Boston UniversityPublished versio

Initial investigation of test-retest reliability of home-to-home teleneuropsychological assessment in healthy, English-speaking adults

Prior teleneuropsychological research has assessed the reliability between in-person and remote administration of cognitive assessments. Few, if any, studies have examined the test-retest reliability of cognitive assessments conducted in sequential clinic-to-home or home-to-home teleneuropsychological evaluations - a critical issue given the state of clinical practice during the COVID-19 pandemic. This study examined this key psychometric question for several cognitive tests administered over repeated videoconferencing visits 4-6 months apart in a sample of healthy English-speaking adults. A total of 44 participants (ages 18-75) completed baseline and follow-up cognitive testing 4-6 months apart. Testing was conducted in a home-to-home setting over HIPAA-compliant videoconferencing meetings on participants' audio-visual enabled laptop or desktop computers. The following measures were repeated at both virtual visits: the Controlled Oral Word Association Test (FAS), Category Fluency (Animals), and Digit Span Forward and Backward from the Wechsler Adult Intelligence Scale, Fourth Edition. Intraclass correlation coefficients (ICC), Pearson correlations, root mean square difference (RMSD), and concordance correlation coefficients (CCC) were calculated as test-retest reliability metrics, and practice effects were assessed using paired-samples t-tests. Some tests exhibited small practice effects, and test-retest reliability was marginal or worse for all measures except FAS, which had adequate reliability (based on ICC and r). Reliability estimates with RMSD suggested that change within +/- 1 SD on these measures may reflect typical test-retest variability. The included cognitive measures exhibited questionable reliability over repeated home-to-home videoconferencing evaluations. Future teleneuropsychology test-retest reliability research is needed with larger, more diverse samples and in clinical populations.F31 AG062158 - NIA NIH HHS; R01 AG054671 - NIA NIH HHS; R01 AG066823 - NIA NIH HHSAccepted manuscrip

Predictors of Performance in Real and Virtual Scenarios across Age

Background: Virtual reality applications to assist older adult with cognitive and functional decline are fast growing. However, such technological developments face limitations such as due to limited constructs and ecological validity. This study was aimed at investigating age-related changes in functional abilities and their associated cognitive underpinnings during task performance in virtual and real environments. Method: Twenty-two younger adults (university students) and 22 older adults (aged 58–74) performed a multiple errands task twice, once in the “Discoveries” section of the National Museum of Scotland and once in the same room as a virtual environment. Accuracy and distance traveled were measured in both groups. Cognitive and daily living abilities were recorded in older adults using standard and novel questionnaires. Results: The testing environment had a significant effect on how efficient individuals performed the task. Older and younger adults’ performance was alike but older adults relied on more cognitive resources. Older adults struggled in the virtual but not in the real environment. Younger but not older adults could transfer knowledge between environments. Conclusion: The use of technology to assist frail older adults and those affected by dementia is growing rapidly. For these novel tools to be theoretically valid, they need to incorporate knowledge of the challenges they pose to these vulnerable groups. Here we present evidence of such challenges and their cognitive underpinnings. This theory may be considered by future applications aimed at enhancing functional abilities in these populations

Changes in Apathy, Depression, and Anxiety in Parkinson’s Disease from before to during the COVID-19 Era

Apathy, depression, and anxiety are common non-motor symptoms of Parkinson’s disease (PD). Tracking the changes in such symptoms over time would be valuable not only to determine their natural course during the disease, but also to establish the effects of unusual historical events interacting with the natural course. Having collected data on apathy (Apathy Scale), depression (Beck Depression Inventory-II), and anxiety (Parkinson’s Anxiety Scale) in a large sample of persons with PD (PwPD) before the beginning of the COVID-19 era, we followed up with these individuals to investigate the changes in their prevalence of apathy, depression, and anxiety across two timepoints (T1 and T2). Of the original 347 participants, 111 responded and provided complete data at T2. The data collection at T1, before COVID-19, occurred between 2017–2018. The data collection at T2 occurred in 2021 and included the same measures, with the addition of the Coronavirus Impact Scale to assess the effects of the pandemic on the individual participants. Over this period, there was a significant increase in apathy, but not in depression or anxiety. Anxiety and depression, but not apathy, were correlated with the impact of COVID-19

The Aging Slow Wave: A Shifting Amalgam of Distinct Slow Wave and Spindle Coupling Subtypes Define Slow Wave Sleep Across the Human Lifespan

Slow wave and spindle coupling supports memory consolidation, and loss of coupling is linked with cognitive decline and neurodegeneration. Coupling is proposed to be a possible biomarker of neurological disease, yet little is known about the different subtypes of coupling that normally occur throughout human development and aging. Here we identify distinct subtypes of spindles within slow wave upstates and describe their relationships with sleep stage across the human lifespan. Coupling within a cross-sectional cohort of 582 subjects was quantified from stages N2 and N3 sleep across ages 6-88 years old. Results were analyzed across the study population via mixed model regression. Within a subset of subjects, we further utilized coupling to identify discrete subtypes of slow waves by their coupled spindles. Two different subtypes of spindles were identified during the upstates of (distinct) slow waves: an "early-fast" spindle, more common in stage N2 sleep, and a "late-fast" spindle, more common in stage N3. We further found stages N2 and N3 sleep contain a mixture of discrete subtypes of slow waves, each identified by their unique coupled-spindle timing and frequency. The relative contribution of coupling subtypes shifts across the human lifespan, and a deeper sleep phenotype prevails with increasing age. Distinct subtypes of slow waves and coupled spindles form the composite of slow wave sleep. Our findings support a model of sleep-dependent synaptic regulation via discrete slow wave/spindle coupling subtypes and advance a conceptual framework for the development of coupling-based biomarkers in age-associated neurological disease

Immune Response to Sipuleucel-T in Prostate Cancer

Historically, chemotherapy has remained the most commonly utilized therapy in patients with metastatic cancers. In prostate cancer, chemotherapy has been reserved for patients whose metastatic disease becomes resistant to first line castration or androgen deprivation. While chemotherapy palliates, decreases serum prostate specific antigen and improves survival, it is associated with significant side effects and is only suitable for approximately 60% of patients with castrate-resistant prostate cancer. On that basis, exploration of other therapeutic options such as active secondary hormone therapy, bone targeted treatments and immunotherapy are important. Until recently, immunotherapy has had no role in the treatment of solid malignancies aside from renal cancer and melanoma. The FDA-approved autologous cellular immunotherapy sipuleucel-T has demonstrated efficacy in improving overall survival in patients with metastatic castrate-resistant prostate cancer in randomized clinical trials. The proposed mechanism of action is reliant on activating the patients’ own antigen presenting cells (APCs) to prostatic acid phosphatase (PAP) fused with granulocyte-macrophage colony stimulating factor (GM-CSF) and subsequent triggered T-cell response to PAP on the surface of prostate cancer cells in the patients body. Despite significant prolongation of survival in Phase III trials, the challenge to health care providers remains the dissociation between objective changes in serum PSA or on imaging studies after sipleucel-T and survival benefit. On that basis there is an unmet need for markers of outcome and a quest to identify immunologic or clinical surrogates to fill this role. This review focuses on the impact of sipuleucel-T on the immune system, the T and B cells, and their responses to relevant antigens and prostate cancer. Other therapeutic modalities such as chemotherapy, corticosteroids and GM-CSF and host factors can also affect immune response. The optimal timing for immunotherapy, patient selection and best sequencing with other prostate cancer therapies remain to be determined. A better understanding of immune response may help address these issues