Jennifer Duncan Davis

Subjective cognitive complaints (SCCs) are common in Parkinson's disease (PD), yet the relationship among nonmotor symptoms remains understudied in early-stage, treatment-naïve populations. We examined interrelationships among SCCs, mood symptoms, and cognition in early-stage, treatment-naïve PD. We hypothesized that SCCs would relate to executive functioning and processing speed, and these relationships would be moderated by mood. Cross-sectional baseline data analyzed 250 individuals (169 men, 81 women; aged 50-84 years) in the Parkinson's Progression Markers Initiative. Moreover, t tests and Pearson correlations assessed associations among SCC group status, mood symptoms, and cognition. Ordinary least squares regression evaluated whether mood moderated the relationship between SCC group status and cognition. Participants in the higher SCC group were more likely to demonstrate processing speed impairment (14% vs. 5.3%, p = .02). Those in the higher SCC group exhibited poorer memory (p = .035, d = .41) and processing speed (p = .001, d = .21) and reported more depression symptoms (d = .84) and state (d = .72) and trait anxiety (ps < .001, d = .85). A significant interaction revealed that individuals in the higher SCC group with elevated state anxiety demonstrated worse memory (ps < .05). No other mood moderation effects were found. In early-stage, treatment-naïve PD, more SCCs corresponded with worse mood symptoms and worse processing speed and memory. Memory performance was worse when both higher SCCs and elevated state anxiety are present, but mood did not moderate higher SCCs' relationship with other domains. SCCs may be early indication of neurocognitive vulnerability. Longitudinal research is warranted to determine how mood symptoms impact SCCs' utility for predicting cognitive decline. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

Electrical stimulation of different nodes within the Circuit of Papez has been assessed in a variety of human studies with conflicting or indeterminate results. Our goal was to combine a precise psychophysical paradigm with varying stimulation protocols across two experimental settings (intra-op, post-op) to more robustly identify and characterize the interaction between fornix stimulation and memory and to isolate whether those effects are specific to memory encoding, rather than related to distinct, supporting cognitive functions.

Background: A total of 12 modifiable risk factors account for 40% of dementia cases globally, yet population adherence to health behaviors associated with these factors is low. Midlife is a critical window for dementia prevention, as brain pathology often begins to accumulate years or decades before the onset of symptoms. Although multidomain behavioral interventions have been efficacious in reducing the risk of cognitive decline, adherence is low. Intrapersonal factors, such as health beliefs, are known mediators of the relationship between knowledge and health behavior. Objective: In keeping with stage I of the National Institutes of Health (NIH) Stage Model for Behavioral Intervention Development, this study will use mixed methods to (1) develop an enhanced health education intervention, including an explanatory method for communicating information about dementia risk and personal health beliefs, and (2) conduct a pilot randomized controlled trial (n=20 per intervention arm) over 8 weeks to assess the feasibility of delivering the enhanced intervention versus basic health education alone. Methods: Phase 1 will involve focus groups and individual qualitative interviews. Focus groups will be analyzed using (1) a descriptive framework matrix analysis and (2) interpretive data review by the research team. Individual qualitative interviews will be coded using applied thematic analysis using a phenomenographic approach. Phase 2 will involve a pilot randomized controlled trial. Proximal outcomes (measured at baseline, 4 weeks, and 8 weeks) include the perceived threat of Alzheimer disease, dementia awareness, and self-efficacy. Results: This project was funded in August 2022. Data collection began in 2023 and is projected to be completed in 2025. Conclusions: Study findings will reveal the feasibility of delivering an 8-week multidomain health education intervention for primary prevention of dementia in midlife and will provide preliminary evidence of mechanisms of change. Trial Registration: ClinicalTrials.gov NCT05599425; https://clinicaltrials.gov/study/NCT05599425 International Registered Report Identifier (IRRID): DERR1-10.2196/60395

In this prospective observational cohort study, we provide preliminary findings from a same-day multidisciplinary fast-tracked normal pressure hydrocephalus (NPH) clinic; incorporating the expertise of movement disorders neurologists, emphasizing the clinical characteristics, consensus classification, and management of patients referred for suspected NPH. We evaluated 111 patients (male/female: 67/44) from April 2022 to May 2023. Based on the multidisciplinary team consensus, 52 (46.8%) were classified as “probable” idiopathic NPH (iNPH), 14 (12.6%) as “possible” NPH, 42 (37.8%) as “unlikely” NPH, and three (2.7%) as secondary NPH. While parkinsonian syndromes were recognized in 19.2% of “probable” iNPH patients (vs. 7.1% in “possible” and 26.2% in “unlikely” NPH), no significant group differences were noted in the scores of the UPDRS-III scale. Degenerative spine pathologies were prevalent across all NPH categories, affecting at least 50% of patients. In the “probable” iNPH group, 78.8% received programmable ventriculoperitoneal shunts, with clinical improvement identified in 87.8% at 12-month follow-up. Our findings underscore the high prevalence of overlapping and competing movement and spinal disorders in patients with suspected NPH. Further, our novel approach, incorporating movement disorder neurologists in NPH multidisciplinary evaluation, improved diagnostic precision and streamlined personalized plans, including further neurological workups, necessary spinal interventions, and medical management or rehabilitation.

BACKGROUND A total of 12 modifiable risk factors account for 40% of dementia cases globally, yet population adherence to health behaviors associated with these factors is low. Midlife is a critical window for dementia prevention, as brain pathology often begins to accumulate years or decades before the onset of symptoms. Although multidomain behavioral interventions have been efficacious in reducing the risk of cognitive decline, adherence is low. Intrapersonal factors, such as health beliefs, are known mediators of the relationship between knowledge and health behavior. OBJECTIVE In keeping with stage I of the National Institutes of Health (NIH) Stage Model for Behavioral Intervention Development, this study will use mixed methods to (1) develop an enhanced health education intervention, including an explanatory method for communicating information about dementia risk and personal health beliefs, and (2) conduct a pilot randomized controlled trial (n=20 per intervention arm) over 8 weeks to assess the feasibility of delivering the enhanced intervention versus basic health education alone. METHODS Phase 1 will involve focus groups and individual qualitative interviews. Focus groups will be analyzed using (1) a descriptive framework matrix analysis and (2) interpretive data review by the research team. Individual qualitative interviews will be coded using applied thematic analysis using a phenomenographic approach. Phase 2 will involve a pilot randomized controlled trial. Proximal outcomes (measured at baseline, 4 weeks, and 8 weeks) include the perceived threat of Alzheimer disease, dementia awareness, and self-efficacy. RESULTS This project was funded in August 2022. Data collection began in 2023 and is projected to be completed in 2025. CONCLUSIONS Study findings will reveal the feasibility of delivering an 8-week multidomain health education intervention for primary prevention of dementia in midlife and will provide preliminary evidence of mechanisms of change. CLINICALTRIAL ClinicalTrials.gov NCT05599425; https://clinicaltrials.gov/study/NCT05599425 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/60395

Cognitive impairment is a significant risk factor for hazardous driving among older drivers with Alzheimer’s dementia, but little is known about how the driving behavior of mildly symptomatic compares with those in the preclinical, asymptomatic phase of Alzheimer’s disease (AD). This study utilized two in-car technologies to characterize driving behavior in symptomatic and preclinical AD. The goals of this pilot study were to (1) describe unsafe driving behaviors in individuals with symptomatic early AD using G-force triggered video capture and (2) compare the driving habits of these symptomatic AD drivers to two groups of cognitively normal drivers, those with and those without evidence of cerebral amyloidosis (CN/A+ and CN/A−) using a global positioning system (GPS) datalogger. Thirty-three drivers (aged 60+ years) were studied over 3 months. G-force triggered video events captured instances of near-misses/collisions, traffic violations, risky driver conduct, and driving fundamentals. GPS data were sampled every 30 s and all instances of speeding, hard braking, and sudden acceleration were recorded. For the early AD participants, video capture identified driving unbelted, late response, driving too fast for conditions, traffic violations, poor judgment, and not scanning intersections as the most frequently occurring safety errors. When evaluating driving using the GPS datalogger, hard breaking events occurred most frequently on a per trip basis across all three groups. The CN/A+ group had the lowest event rate across all three event types with lower instances of speeding. Slower psychomotor speed (Trail Making Part A) was associated with fewer speeding events, more hard acceleration events, and more overall events. GPS tracked instances of speeding were correlated with total number of video-captured near-collisions/collisions and driving fundamentals. Results demonstrate the utility of electronic monitoring to identify potentially unsafe driving events in symptomatic and preclinical AD. Results suggest that drivers with preclinical AD may compensate for early, subtle cognitive changes by driving more slowly and cautiously than healthy older drivers or those with cognitive impairment. Self-regulatory changes in driving behavior appear to occur in the preclinical phase of AD, but safety concerns may not arise until symptoms of cognitive impairment emerge and the ability to self-monitor declines.

Analyzing naturalistic driving behavior recorded with in-car cameras is an ecologically valid method for measuring driving errors, but it is time intensive and not easily applied on a large scale. This study validated a semi-automated, computerized method using archival naturalistic driving data collected for drivers with mild Alzheimer’s disease (AD; n = 44) and age-matched healthy controls (HC; n = 16). The computerized method flagged driving situations where safety concerns are most likely to occur (i.e., rapid stops, lane deviations, turns, and intersections). These driving epochs were manually reviewed and rated for error type and severity, if present. Ratings were made with a standardized scoring system adapted from DriveCam^®. The top eight error types were applied as features to train a logistic model tree classifier to predict diagnostic group. The sensitivity and specificity were compared among the event-based method, on-road test, and composite ratings of two weeks of recorded driving. The logistic model derived from the event-based method had the best overall accuracy (91.7%) and sensitivity (97.7%) and high specificity (75.0%) compared to the other methods. Review of driving situations where risk is highest appears to be a sensitive data reduction method for detecting cognitive impairment associated driving behaviors and may be a more cost-effective method for analyzing large volumes of naturalistic data.