Impairment in recognition memory may be associated with near-term risk for suicide attempt in a high-risk sample.

INTRODUCTION: Prior work has implicated several neurocognitive domains, including memory, in patients with a history of prior suicide attempt. The current study evaluated whether a delayed recognition test could enhance prospective prediction of near-term suicide outcomes in a sample of patients at high-risk for suicide. METHODS: 132 Veterans at high-risk for suicide completed a computer-based recognition memory test including semantically-related and -unrelated words. Outcomes were coded as actual suicide attempt (ASA), other suicide-related event (OtherSE) such as aborted/interrupted attempt or preparatory behavior, or neither (noSE), within 90 days after testing. RESULTS: Reduced performance was a significant predictor of upcoming ASA, but not OtherSE, after controlling for standard clinical variables such as current suicidal ideation and history of prior suicide attempt. However, compared to the noSE reference group, the OtherSE group showed a reduction in the expected benefit of semantic relatedness in recognizing familiar words. A computational model, the drift diffusion model (DDM), to explore latent cognitive processes, revealed the OtherSE group had decreased decisional efficiency for semantically-related compared to semantically-unrelated familiar words. LIMITATIONS: This study was a secondary analysis of an existing dataset, involving participants in a treatment trial, and requires replication; ~10 % of the sample was excluded from analysis due to failure to master the practice tasks and/or apparent noncompliance. CONCLUSION: Impairments in recognition memory may be associated with near-term risk for suicide attempt, and may provide a tool to improve prediction of when at-risk individuals may be transitioning into a period of heightened risk for suicide attempt.

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.

Social Control and Health Behaviors Among Individuals Living with Parkinson's Disease: A Pilot Study.

BACKGROUND: Positive health behaviors (e.g., exercise, healthy eating habits, good sleep hygiene, treatment adherence) are important in ensuring optimal symptom management and health outcomes among individuals living with Parkinson's disease (PD). While multiple factors may influence engagement in health behaviors, little is known about the occurrence of social control, or relationship partners' attempts to influence and regulate another's behavior, and its potential role in the adoption of health behaviors among individuals with PD. METHODS: To better understand the types of social control attempts employed and begin to explore the association between social control attempts and behavioral responses (e.g., engage in the targeted health behavior, hide the behavior) to those attempts, survey data were drawn from a cross-sectional, pilot study of married/partnered Veterans diagnosed with idiopathic PD (n = 25). Participants completed self-reported measures of sociodemographics, physical and mental well-being, relationship functioning, and both the frequency of and behavioral responses to positive and negative social control attempts. RESULTS: Although the majority of individuals reported their partners engaged in positive social control attempts, half also reported negative attempts. Bivariate analyses revealed more frequent positive social control attempts from one's partner were related to both positive and negative behavioral responses, and negative social control attempts were related to negative behavioral responses. However, when adjusting for covariates, positive social control attempts were related to positive behavioral responses, while negative social exchanges with one's partner (e.g., general conflict), rather than exposure to negative social control attempts, were related to negative behavioral responses. CONCLUSIONS: Findings lend preliminary evidence of the relationship between social control and exchanges and health behavior that may inform future, adequately powered observational and intervention studies that target interpersonal processes and health behaviors among individuals living with PD and their relationship partners.

Clinical significance of psychotic-like experiences across U.S. ethnoracial groups.

BACKGROUND: Prevalence of psychotic-like experiences (PLEs) - reports of hallucinations and delusional thinking not meeting criteria for psychotic disorder - varies substantially across ethnoracial groups. What explains this range of PLE prevalence? Despite extensive research, the clinical significance of PLEs remains unclear. Are PLE prevalence and clinical severity differentially associated across ethnoracial groups? METHODS: We examined the lifetime prevalence and clinical significance of PLEs across ethnoracial groups in the Collaborative Psychiatric Epidemiology Surveys (N = 11 139) using the Composite International Diagnostic Interview (CIDI) psychosis symptom screener. Outcomes included mental healthcare use (inpatient, outpatient), mental health morbidity (self-perceived poor/fair mental health, suicidal ideation or attempts), and impairment (role interference). Individuals with outcome onsets prior to PLE onset were excluded. We also examined associations of PLEs with CIDI diagnoses. Cox proportional-hazards regression and logistic regression modeling identified associations of interest. RESULTS: Contrary to previous reports, only Asian Americans differed significantly from other U.S. ethnoracial groups, reporting lower lifetime prevalence (6.7% v. 8.0-11.9%) and mean number (0.09 v. 0.11-0.18) of PLEs. In multivariate analyses, PLE clinical significance showed limited ethnoracial variation among Asian Americans, non-Caribbean Latinos, and Afro-Caribbeans. In other groups, mental health outcomes showed significant ethnoracial clustering by outcome (e.g. hospitalization and role interference with Caribbean-Latino origin), possibly due to underlying differences in psychiatric disorder chronicity or treatment barriers. CONCLUSIONS: While there is limited ethnoracial variation in U.S. PLE prevalence, PLE clinical significance varies across U.S. ethnoracial groups. Clinicians should consider this variation when assessing PLEs to avoid exaggerating their clinical significance, contributing to mental healthcare disparities.

Improving the prospective prediction of a near-term suicide attempt in veterans at risk for suicide, using a go/no-go task.

BACKGROUND: Neurocognitive testing may advance the goal of predicting near-term suicide risk. The current study examined whether performance on a Go/No-go (GNG) task, and computational modeling to extract latent cognitive variables, could enhance prediction of suicide attempts within next 90 days, among individuals at high-risk for suicide. METHOD: 136 Veterans at high-risk for suicide previously completed a computer-based GNG task requiring rapid responding (Go) to target stimuli, while withholding responses (No-go) to infrequent foil stimuli; behavioral variables included false alarms to foils (failure to inhibit) and missed responses to targets. We conducted a secondary analysis of these data, with outcomes defined as actual suicide attempt (ASA), other suicide-related event (OtherSE) such as interrupted/aborted attempt or preparatory behavior, or neither (noSE), within 90-days after GNG testing, to examine whether GNG variables could improve ASA prediction over standard clinical variables. A computational model (linear ballistic accumulator, LBA) was also applied, to elucidate cognitive mechanisms underlying group differences. RESULTS: On GNG, increased miss rate selectively predicted ASA, while increased false alarm rate predicted OtherSE (without ASA) within the 90-day follow-up window. In LBA modeling, ASA (but not OtherSE) was associated with decreases in decisional efficiency to targets, suggesting differences in the evidence accumulation process were specifically associated with upcoming ASA. CONCLUSIONS: These findings suggest that GNG may improve prediction of near-term suicide risk, with distinct behavioral patterns in those who will attempt suicide within the next 90 days. Computational modeling suggests qualitative differences in cognition in individuals at near-term risk of suicide attempt.

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

Introduction: Parkinson's disease (PD) is characterized by high-rates of depression with limited evidence-based treatment options to improve mood. Objective: To expand therapeutic options, we evaluated the feasibility and effect of a telehealth mindfulness-based cognitive therapy intervention adapted for PD (MBCT-PD) in a sample of participants with DSM-5 depressive disorders. Methods: Fifteen participants with PD and clinically-significant depression completed 9 sessions of MBCT-PD. Depression, anxiety, and quality of life were evaluated at baseline, endpoint, and 1-month follow-up. Results: Telehealth MBCT-PD was feasible and beneficial. Completion rates exceeded 85% and treatment satisfaction rates were high. Notable improvements were observed for depression, anxiety, and quality of life over the course of the trial. Conclusion: Telehealth MBCT-PD shows promise and warrants further evaluation via randomized clinical trial with more diverse participants. Such research holds the potential to expand the range of therapeutic options for depression in PD, thereby setting the stage for personalized care.

A practical introduction to using the drift diffusion model of decision-making in cognitive psychology, neuroscience, and health sciences.

Recent years have seen a rapid increase in the number of studies using evidence-accumulation models (such as the drift diffusion model, DDM) in the fields of psychology and neuroscience. These models go beyond observed behavior to extract descriptions of latent cognitive processes that have been linked to different brain substrates. Accordingly, it is important for psychology and neuroscience researchers to be able to understand published findings based on these models. However, many articles using (and explaining) these models assume that the reader already has a fairly deep understanding of (and interest in) the computational and mathematical underpinnings, which may limit many readers' ability to understand the results and appreciate the implications. The goal of this article is therefore to provide a practical introduction to the DDM and its application to behavioral data - without requiring a deep background in mathematics or computational modeling. The article discusses the basic ideas underpinning the DDM, and explains the way that DDM results are normally presented and evaluated. It also provides a step-by-step example of how the DDM is implemented and used on an example dataset, and discusses methods for model validation and for presenting (and evaluating) model results. Supplementary material provides R code for all examples, along with the sample dataset described in the text, to allow interested readers to replicate the examples themselves. The article is primarily targeted at psychologists, neuroscientists, and health professionals with a background in experimental cognitive psychology and/or cognitive neuroscience, who are interested in understanding how DDMs are used in the literature, as well as some who may to go on to apply these approaches in their own work.

Criticism in the Parkinson's Caregiving Relationship: A Key Target for Intervention.

INTRODUCTION: Caregiver distress is prevalent in Parkinson's disease (PD) and predictive of negative health outcomes for both people with PD and caregivers. To identify future intervention targets, it is important to better elucidate the specific processes, such as criticism, that perpetuate burden. OBJECTIVE: Evaluate the frequency and impact of criticism and reactivity to criticism in PD caregiving dyads. METHODS: Eighty-three people with PD and their caregivers independently completed measures of criticism and physical and emotional health. RESULTS: Criticism in the caregiving relationship was reported by 71.1% (n = 59) of people with PD and 80.7% (n = 67) of caregivers. Both perceived criticism and emotional reactivity to criticism were significant predictors of caregiver distress, adjusting for PD motor and non-motor symptom severity. In contrast, criticism was not related to PD depression. CONCLUSION: Criticism in the PD caregiving relationship is a clear target for psychotherapeutic intervention and may improve caregiver health and quality of life.

Attentional control may be modifiable with Mindfulness-Based Cognitive Therapy to Prevent Suicide.

OBJECTIVE: To test whether Mindfulness-Based Cognitive Therapy to Prevent Suicide (MBCT-S) is associated with improvement in attentional control, an objective marker of suicide attempt. METHOD: In the context of a randomized clinical trial targeting suicide risk in Veterans, computerized Stroop and emotion Stroop (E-Stroop) tasks were administered 3 times over 6-months follow-up to 135 high suicide risk Veterans. Seventy were randomized to receive MBCT-S in addition to enhanced treatment as usual (eTAU), and 65 were randomized to eTAU only. E-Stroop word types included positively- and negatively-valenced emotion, suicide, and combat-related words. Interference scores and mixed effects linear regression analyses were used. RESULTS: Veterans receiving MBCT-S showed a more favorable trajectory of attentional control over time, as indicated by performance on two E-Stroop tasks. Combat-stress interference scores improved over time among Veterans in MBCT-S. Interference processing time for negative affective words deteriorated over time among Veterans receiving eTAU only. CONCLUSIONS: MBCT-S may effectively target attentional control, and in particular reduce processing time during affective interference, in high suicide risk Veterans. Future studies to replicate these findings are warranted.

Mindfulness-Based Cognitive Therapy for Preventing Suicide in Military Veterans: A Randomized Clinical Trial.

Objective: This study evaluated whether Mindfulness-Based Cognitive Therapy for Preventing Suicide Behavior (MBCT-S) effectively augmented treatment-as-usual enhanced for suicide prevention (eTAU).Methods: From December 2013 through March 2018, veterans (N = 140) at high risk for suicide were recruited mostly (88.6%) during a suicide-related inpatient admission and randomly assigned to either (1) eTAU augmented with MBCT-S or (2) eTAU only. MBCT-S began during inpatient treatment (2 individual sessions emphasizing safety planning) and continued post-discharge (8 group sessions emphasizing mindfulness skills and elaborated safety planning). Four follow-up evaluations occurred over 12 months, and primary outcomes were (1) time to suicide event and (2) number of suicide events. Secondary outcomes were time to and number of suicide attempts, proportion with acute psychiatric hospitalization, and change in suicide-related factors (eg, depression, hopelessness, suicidal ideation).Results: Relative to eTAU, MBCT-S did not significantly delay time to suicide event (hazard ratio = 0.86; 95% CI, 0.52-1.41; P = .54), but did reduce total number of suicide events (MBCT-S: 56 events; eTAU: 92 events; incident rate ratio = 0.59; 95% CI, 0.36-0.99; P < .05). There were no significant differences in time to or number of suicide attempts. In a post hoc analysis, however, MBCT-S significantly reduced the proportion of participants attempting suicide (P < .05). MBCT-S also reduced the proportion with a psychiatric hospitalization. No significant between-group differences emerged on any suicide-related factors.Conclusions: Adding MBCT-S to system-wide suicide prevention efforts produced mixed findings on the primary outcome (suicide events) and promising findings on other important outcomes (suicide attempts, psychiatric hospitalizations). MBCT-S should continue to be examined in future research.Trial Registration: ClinicalTrials.gov identifier: NCT01872338.

Innovating Parkinson's Care: A Randomized Controlled Trial of Telemedicine Depression Treatment.

BACKGROUND: For several decades, a myriad of factors have contributed to the inadequate diagnosis and management of depression in Parkinson's disease (PD), leaving up to 60% of significantly symptomatic patients untreated. Poor access to evidence-based neuropsychiatric care is one major barrier to achieving optimal Parkinson's outcomes. OBJECTIVE: The goal of this study was to compare the efficacy of individual Parkinson's-informed, video-to-home cognitive-behavioral therapy (experimental group), to clinic-based treatment as usual (control group), for depression in PD. METHOD: Ninety United States military veterans with clinical diagnoses of both depression and PD were computer-randomized (1:1) to either the experimental or control group; randomization was stratified by baseline antidepressant use and blind to all other baseline data. The acute treatment period spanned 10 weeks and was followed by a 6-month extension phase. The Hamilton Depression Rating Scale was the a priori primary outcome. Depression treatment response was defined as a score ≤2 on the Clinical Global Impression Improvement Scale. All statistical analyses were intent to treat. RESULTS: Video-to-home cognitive-behavioral therapy outperformed clinic-based treatment as usual across three separate depression measures (P < 0.001). Effects were observed at the end of acute treatment and maintained through 6-month follow-up. Number needed to treat (based on treatment response classification) was 2.5 with an absolute risk reduction of 40%. CONCLUSION: Video-to-home cognitive-behavioral therapy may be an effective intervention to bypass access barriers to specialized, evidence-based depression care in PD and to address the unmet neuropsychiatric treatment needs of the Parkinson's community. © 2021 International Parkinson and Movement Disorder Society.

Coping with Suicidal Urges: An Important Factor for Suicide Risk Assessment and Intervention.

Suicide-related coping refers to strategies for adaptively managing suicidal urges and can be important an important factor for assessing risk and targeting intervention. The current study evaluated whether suicide-related coping predicted a suicidal event within 90-days, independently of other known risk factors. Veterans (N = 64) were evaluated shortly after a suicidal crisis and completed several assessments, including a measure of suicide-related coping. Multivariate analyses showed that suicide-related coping remained protective of a suicidal event (OR = 0.93; p = .047) after adjusting for suicidal ideation, previous suicide attempts, mood disorder, distress tolerance, and gender. Suicide-related coping may augment commonly assessed clinical factors in prediction of a suicidal event and is a suitable target for suicide prevention efforts.

Telephone-based cognitive behavioral therapy for depression in Parkinson disease: A randomized controlled trial.

OBJECTIVE: To determine whether, for patients with depression and Parkinson disease (PD), telephone-based cognitive-behavioral treatment (T-CBT) alleviates depressive symptoms significantly more than treatment as usual (TAU), we conducted a randomized controlled trial to evaluate the efficacy of a 10-session T-CBT intervention for depression in PD, compared to TAU. METHODS: Seventy-two people with PD (PWP) were randomized to T-CBT + TAU or TAU only. T-CBT tailored to PWPs' unique needs was provided weekly for 3 months, then monthly during 6-month follow-up. CBT targeted negative thoughts (e.g., "I have no control"; "I am helpless") and behaviors (e.g., social withdrawal, excessive worry). It also trained care partners to help PWP practice healthy habits. Blind raters assessed outcomes at baseline, midtreatment, treatment end, and 1 and 6 months post-treatment. Analyses were intent to treat. RESULTS: T-CBT outperformed TAU on all depression, anxiety, and quality of life measures. The primary outcome (Hamilton Depression Rating Scale score) improved significantly in T-CBT compared to TAU by treatment end. Mean improvement from baseline was 6.53 points for T-CBT and -0.27 points for TAU (p < 0.0001); gains persisted over 6-month follow-up (p < 0.0001). Improvements were moderated by a reduction in negative thoughts in the T-CBT group only, reflecting treatment target engagement. CONCLUSIONS: T-CBT may be an effective depression intervention that addresses a significant unmet PD treatment need and bypasses access barriers to multidisciplinary, evidence-based care. CLINICALTRIALSGOV IDENTIFIER: NCT02505737. CLASSIFICATION OF EVIDENCE: This study provides Class I evidence that for patients with depression and PD, T-CBT significantly alleviated depressive symptoms compared to usual care.

Towards the objective assessment of suicidal states: Some neurocognitive deficits may be temporally related to suicide attempt.

Neurocognitive detection of suicidal states has the potential to significantly advance objective risk assessment. This goal requires establishing that neurocognitive deficits fluctuate around the time of a suicide attempt. The current study therefore evaluated whether neurocognitive performance is temporally related to suicide attempt, in a sample at highrisk for suicide (n = 141). Evaluations consisted of a clinician-administered interview, self-report questionnaires, and neurocognitive tasks assessing response inhibition, attentional control, and memory recognition. Analyses examined whether neurocognitive scores significantly differed according to the following temporal suicide attempt categories: (a) past-week attempt; (b) past-year attempt (not in past week); and (c) no past-year attempt. Univariate results showed that response inhibition and memory recognition were significantly related to suicide attempt recency. Post-hoc pairwise tests showed that participants with a past-week suicide attempt showed greater impairments than those without a past-year attempt. Multivariate tests showed the same pattern of results, adjusting for age, suicide attempts prior to past year, mood disturbance, and suicidal ideation. These results show that neurocognitive assessment of response inhibition and memory recognition shows sensitivity to the recency of a suicide attempt. While future prospective studies are needed, results suggest that phasic neurocognitive deficits may serve as objective markers of short-term suicide risk.

Past-year opioid misuse and suicide attempt are positively associated in high suicide risk veterans who endorse past- year substance use.

The main purpose of this study was to test the relationship between past-year suicide attempt (SA) and past-year opioid misuse among Veterans at high risk of suicide who reported using at least one illicit substance or alcohol in the past year. Baseline data from 130 high suicide-risk Veterans (n = 39 past-year opioid misusers; n = 91 past-year users of other substances) who enrolled in a randomized controlled trial testing adjunctive Mindfulness-Based Cognitive Therapy to Prevent Suicidal Behavior were used. Information was collected on a semi-structured interview that included the Columbia-Suicide Severity Rating Scale to collect suicide attempt history. Past-year opioid misusers, compared to those who used at least one other illicit substance or alcohol in the past year, were more likely to have made a past-year SA. Past-year opioid misuse remained associated with past-year SA in multivariate analysis that included other known risk factors for SA. Our findings show a robust link between near-term SA and opioid misuse in Veterans.

Cognitive behavioral therapy improves diverse profiles of depressive symptoms in Parkinson's disease.

OBJECTIVE: Depression is among the most common and debilitating nonmotor complaints in Parkinson's disease (PD), yet there is a paucity of controlled research to guide treatment. Little research has focused on the extent to which specific depressive symptom profiles may dictate unique clinical recommendations to ultimately improve treatment outcomes. The current study examined the impact of cognitive behavioral therapy (CBT) on different types of depressive symptoms in PD. It was hypothesized that the cognitive (eg, guilt, rumination, and negative attitudes towards self) and behavioral (eg, avoidance and procrastination) symptoms targeted most intensively by the treatment protocol would show the most robust response. The extent to which stabilized antidepressant use moderated specific symptom change was examined on an exploratory basis. METHOD: Eighty depressed people with PD participated in a randomized controlled trial of CBT plus clinical management, versus clinical management only. Hamilton Depression Rating Scale (HAMD) and Beck Depression Inventory (BDI) subscale scores, reflecting depressive symptom heterogeneity in PD, were the focus of this investigation. RESULTS: CBT response was associated with significant improvements in mood, sleep, anxiety, and somatic symptoms (HAMD), and negative attitudes toward self, performance impairment, and somatic symptoms (BDI). As hypothesized, the largest effect sizes were observed for cognitive and behavioral (vs somatic) symptoms of depression. Stabilized antidepressant use moderated the effect of CBT on somatic complaints (HAMD and BDI). CONCLUSIONS: CBT may improve a diverse array of depressive symptoms in PD. Cognitive and behavioral (vs somatic) symptoms showed the greatest change. Combining CBT with antidepressants may help optimize the management of somatic complaints in depression in PD (dPD).

Improved understanding, detection, and management of neuropsychiatric complications: essential components to the optimal treatment of Parkinson's disease.

It has been well established that Parkinson's disease (PD) is not just a movement disorder (Weintraub and Burn, 2011). Fortunately, the past two decades have seen increased attention to the neuropsychiatric aspects of the disease process. Neuropsychiatric symptoms (e.g., mood, sleep, psychosis, and impulse control) are experienced by the overwhelming majority of people living with PD (PWP) and have a detrimental impact on physical and cognitive decline (Pontone et al., 2016), quality of life (van Uem et al., 2016), and caregiving relationships (Santos-García, 2015). As a field, all multidisciplinary providers involved in the care of PWP, inclusive of movement disorder specialists, geriatric psychiatrists, clinical psychologists, social workers, and other allied healthcare providers, must work to improve the recognition and treatment of key non-motor symptoms, such as depression and anxiety, as part of the standard of care (Cohen et al., 2016). Improved detection and management is critical, as the failure to appropriately treat psychiatric complications negatively impacts the overall course of the illness, functional aspects of daily life, and the PWP ability to fully engage in their own self-care (Pontone et al., 2016).

Personalized Telemedicine for Depression in Parkinson's Disease: A Pilot Trial.

High rates of depression are observed in Parkinson's disease, and limited access to care complicates management. The purpose of this pilot project was to evaluate the feasibility and impact of a personalized cognitive-behavioral telemedicine program for depression in Parkinson's disease (dPD). Thirty-four individuals with dPD and their carepartners participated in this pilot study. A 10-module self-help workbook, tailored to the unique needs of the dPD population, was created to be used as either a stand-alone intervention, with minimal therapist support, or a supplement to formal telephone-administered cognitive-behavioral therapy sessions. Improvements in depression, anxiety, quality of life, sleep, negative thoughts, and caregiver burden were observed over the course of the 4-month study, independent of treatment modality (guided self-help vs formal telephone-based psychotherapy). Future research will utilize randomized controlled designs and continue to focus on delivery models that can improve access to this and other evidence-based mental health interventions for dPD.

Use of the Columbia-Suicide Severity Rating Scale (C-SSRS) to Classify Suicidal Behaviors.

Efforts to better understand and prevent suicide have increasingly pointed to the prospective assessment of suicidal behaviors in clinical trials. These assessments are aided by instruments such as the Columbia-Suicide Severity Rating Scale (C-SSRS), which have sought to improve the conceptual uniformity and ease by which suicidal behaviors are classified. At the same time, assessment and classification of suicidal behaviors has been a longtime challenge in the field. To aid users of the C-SSRS, this article illustrates the use of the C-SSRS in instances where classification complexities arise. Illustrations are presented based on cases encountered during a clinical trial for a suicide prevention intervention. Key decision points are summarized and classification issues that warrant consideration for future refinement of such decisions are discussed.