The Relationship Between Sleep and Brain Function in Older Adults With Chronic Kidney Disease and Self-Identified Cognitive Impairment.

Older adults with chronic kidney disease (CKD) are at risk for cognitive impairment and sleep disturbances. The purpose of the current study was to investigate the relationship between sleep and brain structure/function in older adults with CKD and self-identified cognitive impairment. The sample (N = 37) had a mean age of 68 years (SD = 4.9 years), estimated glomerular filtration rate of 43.7 mL/min/1.73m2 (SD = 10.98), median sleep time of 7.4 hours, and was 70% female. Sleeping <7.4 hours, compared to ≥7.4 hours, was associated with better attention/information processing (ß = 11.46, 95% confidence interval [CI] [3.85, 19.06]) and better learning/memory (ß = 2.06, 95% CI [0.37, 3.75]). Better sleep efficiency was associated with better global cerebral blood flow (ß = 3.30, 95% CI [0.65, 5.95]). Longer awake length after sleep onset was associated with worse fractional anisotropy of the cingulum (ß = -0.01, 95% CI [-0.02, -0.003]). Sleep duration and continuity may be related to brain function in older adults with CKD and self-identified cognitive impairment. [Journal of Gerontological Nursing, 49(7), 31-39.].

Design and Formative Evaluation of a Virtual Voice-Based Coach for Problem-solving Treatment: Observational Study.

BACKGROUND: Artificial intelligence has provided new opportunities for human interactions with technology for the practice of medicine. Among the recent artificial intelligence innovations, personal voice assistants have been broadly adopted. This highlights their potential for health care-related applications such as behavioral counseling to promote healthy lifestyle habits and emotional well-being. However, the use of voice-based applications for behavioral therapy has not been previously evaluated. OBJECTIVE: This study aimed to conduct a formative user evaluation of Lumen, a virtual voice-based coach developed as an Alexa skill that delivers evidence-based, problem-solving treatment for patients with mild to moderate depression and/or anxiety. METHODS: A total of 26 participants completed 2 therapy sessions-an introductory (session 1) and a problem-solving (session 2)-with Lumen. Following each session with Lumen, participants completed user experience, task-related workload, and work alliance surveys. They also participated in semistructured interviews addressing the benefits, challenges and barriers to Lumen use, and design recommendations. We evaluated the differences in user experience, task load, and work alliance between sessions using 2-tailed paired t tests. Interview transcripts were coded using an inductive thematic analysis to characterize the participants' perspectives regarding Lumen use. RESULTS: Participants found Lumen to provide high pragmatic usability and favorable user experience, with marginal task load during interactions for both Lumen sessions. However, participants experienced a higher temporal workload during the problem-solving session, suggesting a feeling of being rushed during their communicative interactions. On the basis of the qualitative analysis, the following themes were identified: Lumen's on-demand accessibility and the delivery of a complex problem-solving treatment task with a simplistic structure for achieving therapy goals; themes related to Lumen improvements included streamlining and improved personalization of conversations, slower pacing of conversations, and providing additional context during therapy sessions. CONCLUSIONS: On the basis of an in-depth formative evaluation, we found that Lumen supported the ability to conduct cognitively plausible interactions for the delivery of behavioral therapy. Several design suggestions identified from the study including reducing temporal and cognitive load during conversational interactions, developing more natural conversations, and expanding privacy and security features were incorporated in the revised version of Lumen. Although further research is needed, the promising findings from this study highlight the potential for using Lumen to deliver personalized and accessible mental health care, filling a gap in traditional mental health services.

Exercise Training and Cognitive Function in Kidney Disease: Protocol for a Pilot Randomized Controlled Trial.

BACKGROUND: Chronic kidney disease (CKD) is extremely common in older adults and is associated with cognitive impairment. It is hypothesized that accelerated cognitive decline in CKD results from a vascular dysfunction-induced reduction in the integrity of the brain white matter. OBJECTIVE: The aim of this study was to describe the protocol for a study to evaluate whether exercise training provides a cerebroprotective effect by improving cerebrovascular health. METHODS: This is a randomized controlled trial investigating feasibility and effect size. RESULTS: Participants will be randomized to either a 24-week, home-based, walking program or a usual care group. Participants will undergo evaluation of cognitive function, brain structure via magnetic reasoning imaging, physical function, physical activity, and vascular function. The primary outcome is change in cognitive function. DISCUSSION: The findings of this study will help determine whether exercise training influences cognitive function during a therapeutic window in the disease process of cognitive impairment in older adults with CKD. CONCLUSION: This protocol describes a study to evaluate cognition and brain structure following a home-based exercise program to an at-risk population.

A Future Research Agenda for Digital Geriatric Mental Healthcare.

The proliferation of mobile, online, and remote monitoring technologies in digital geriatric mental health has the potential to lead to the next major breakthrough in mental health treatments. Unlike traditional mental health services, digital geriatric mental health has the benefit of serving a large number of older adults, and in many instances, does not rely on mental health clinics to offer real-time interventions. As technology increasingly becomes essential in the everyday lives of older adults with mental health conditions, these technologies will provide a fundamental service delivery strategy to support older adults' mental health recovery. Although ample research on digital geriatric mental health is available, fundamental gaps in the scientific literature still exist. To begin to address these gaps, we propose the following recommendations for a future research agenda: 1) additional proof-of-concept studies are needed; 2) integrating engineering principles in methodologically rigorous research may help science keep pace with technology; 3) studies are needed that identify implementation issues; 4) inclusivity of people with a lived experience of a mental health condition can offer valuable perspectives and new insights; and 5) formation of a workgroup specific for digital geriatric mental health to set standards and principles for research and practice. We propose prioritizing the advancement of digital geriatric mental health research in several areas that are of great public health significance, including 1) simultaneous and integrated treatment of physical health and mental health conditions; 2) effectiveness studies that explore diagnostics and treatment of social determinants of health such as "social isolation" and "loneliness;" and 3) tailoring the development and testing of innovative strategies to minority older adult populations.

Neural correlates of rumination in adolescents with remitted major depressive disorder and healthy controls.

The aim of the present study was to use fMRI to examine the neural correlates of engaging in rumination among a sample of remitted depressed adolescents, a population at high risk for future depressive relapse. A rumination induction task was used to assess differences in the patterns of neural activation during rumination versus a distraction condition among 26 adolescents in remission from major depressive disorder (rMDD) and in 15 healthy control adolescents. Self-report depression and rumination, as well as clinician-rated depression, were also assessed among all participants. All of the participants recruited regions in the default mode network (DMN), including the posterior cingulate cortex, medial prefrontal cortex, inferior parietal lobe, and medial temporal gyrus, during rumination. Increased activation in these regions during rumination was correlated with increased self-report rumination and symptoms of depression across all participants. Adolescents with rMDD also exhibited greater activation in regions involved in visual, somatosensory, and emotion processing than did healthy peers. The present findings suggest that during ruminative thought, adolescents with rMDD are characterized by increased recruitment of regions within the DMN and in areas involved in visual, somatosensory, and emotion processing.

Clinical Characteristics of Patients with Late Life Bipolar Disorder in the Community: Data from the NNDC Registry.

OBJECTIVE: To compare clinical characteristics of older and younger patients with bipolar disorder enrolled in the United States' National Network of Depression Centers (NNDC) Clinical Care Registry (CCR). DESIGN: Multicenter, de-identified naturalistic data from the National NNDC's CCR for all patients with a diagnosis of bipolar disorder who were enrolled in the registry as of April 25, 2013. PARTICIPANTS: Community-dwelling patients (N = 218), ages 18 years or older, with bipolar disorder diagnosis recruited by NNDC-affiliated medical centers to participate in the NNDC CCR. Subjects aged 55 years or older were compared with subjects younger than age 55 years on clinical measures. MEASUREMENTS: Patient Health Questionnaire; Quick Inventory of Depressive Symptomatology - Self-Report; Altman Self-Rating Mania Scale; Work and Social Adjustment Scale; Frequency and Intensity of Burden of Side Effects Rating; and the Self-Administered Comorbidity Questionnaire. RESULTS: A greater percentage of older patients were prescribed antidepressant medications (71.9% versus 50.0%), and the younger cohort had significantly more psychostimulant use (16.7% versus 0%). Younger patients endorsed significantly more depressive symptoms compared with older patients. The mean number of psychotropic medications was not different in both older and younger patients with bipolar disorder. There was no statistically significant difference in frequency, intensity, or burden of psychotropic medication side effects as measured by the Frequency and Intensity of Burden of Side Effects Rating. CONCLUSION: Findings of higher antidepressant use rates in the older cohort, combined with lower depression symptom severity and a similar degree of manic symptoms, suggests the possibility that older adults with bipolar disorder may have improved antidepressant efficacy and lower switch rates into manic or mixed states compared with younger cohorts. Ongoing data collection by the NNDC CCR will add to current knowledge to inform the care of older patients with bipolar disorder by providing multi-site data regarding phenomenology, treatment response, and longitudinal course of late life bipolar disorder in community settings.

Neuroanatomical correlates of executive functioning in depressed adults with type 2 diabetes.

Depression is often comorbid with type 2 diabetes. Depression may increase vulnerability to and/or exacerbate existing cognitive deficits. Little is known about the brain pathophysiology underlying depression and cognitive abnormalities in diabetes. The aim of this study was to examine the relationship of orbitofrontal and anterior cingulate volumes with executive functioning and attention/processing speed in type 2 diabetic participants with and without major depression. A total of 21 diabetic participants with major depression, 23 diabetic participants with no depression, and 22 healthy controls were compared. Using brain magnetic resonance imaging, volumetric measures of the prefrontal cortex were examined in relation to executive functioning and attention/processing speed. Partial correlations suggested a significant positive relationship between right orbitofrontal regions and executive functioning in the group with diabetes and depression only, indicating that neurobiological changes in the orbitofrontal region may contribute to observed cognitive dysfunction.