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Objective: To investigate differences in performance on a widely used cognitive screener between community-dwelling older adults from two disparate socioeconomic groups. Participants and Methods: Participants were part of a larger study of cognitive screening in healthy older adults. The total sample (N=79, 69.6% female, 19% White/Caucasian, 12.7% Asian, 43% Latino/a, 25.3% Black/African-American) consisted of community-dwelling adults (M age=73.1 years [SD =7.2] and M education=14.3 years [SD =2.6]) who were initially recruited via social media, flyers, and general community announcements. A lack of ethnic minority participants resulted in a two-year commitment to reach communities of color via visits and provision of health literacy to local religious and community programs. Continuous contact with leaders/gatekeepers helped establish research study credibility and forge a stronger sense of trust among ethnically diverse participants in the greater Houston, TX, area. Testing was initially conducted at the clinical study site. Due to low participation rates among people of color, greater effort was placed on tailored strategies to overcome economic and time constraints (i.e., schedule/time conflicts, lack of transportation, inability to pay for parking). To fit the priorities and needs of the participants, testing was also conducted at their homes (25.3%) and nearby religious and community centers (22.8%). Participants identifying as Latino/a or Black were predominantly recruited and tested at their local community center (as requested by gatekeepers/participants) to increase access to the study, in contrast to Caucasian participants. Median income estimates were used to stratify participants by socioeconomic status (SES) based on zip codes into low SES (L-SES) or high SES (H-SES) groups. Results: Participants from the L-SES group had significantly lower total scores on the MoCA than their H-SES counterparts, t (77 J =2.837, p =0.003, g =0.696. The average MoCA total score for participants from the L-SES group was 2.64 points lower. The observed differences in MoCA total score when stratifying by ethnicity may be attributable to differences in education level and SES, which are known risk factors for cognitive impairment and will be further examined upon recruitment completion. Conclusions: Studies have found that ethnically diverse older adults not only encounter more barriers to accessing quality health care but also experience disparities in brain health research. Communities of color comprise a sizeable portion of our older adults but have been traditionally underrepresented in clinical research, limiting the generalizability of research findings to clinical treatment. Socioeconomic deprivation has been identified as one of several barriers to research engagement for people of color, placing ethnic communities at increased risk for under- or misdiagnosis and limited access to medical intervention. Preliminary findings have implications for the recruitment of ethnically diverse groups in clinical research. Given the growing racial and ethnic diversity among the United States population, we must do our due diligence to increase understanding of participation and recruitment barriers for racial/ethnic individuals. Tailored community outreach and engagement strategies may be effective in improving the inclusion of ethnically diverse populations and facilitating recruitment and retention in clinical research studies. [ABSTRACT FROM AUTHOR]

Objective: To investigate the latent factor structure and construct validity of the Verbal Series Attention Test (VSAT) across clinical patient populations. Participants and Methods: Participants included a consecutive series of clinical patients presenting with a primary memory complaint. Each patient underwent a comprehensive neuropsychological assessment and provided informed consent to allow their clinical data to be used for research. Groups formed included 1) No Neurocognitive Disorder [NoND, N=262, mean age=68.8, mean education=16.2, mean MMSE=28.3], 2) Mild Neurocognitive Disorder [MildND, N=337, mean age=72.3, mean education=15.4, mean MMSE=28.7], and 3) Major Neurocognitive Disorder [MajorND, N=524, mean age=76.5, mean education=14.5, mean MMSE=19.0] with etiologies including suspected Alzheimer's disease and/or vascular pathology. Latent factors were investigated using exploratory factor analysis (EFA). Results: EFA was conducted using SAS 9.4 software and the promax (oblique) rotation to reveal the latent factors of the eight timed items of the VSAT in each of the three clinical groups. The structure was essentially identical in all three groups with two primary factors consistently emerging identified as 1-Complex Attention and 2-Simple Attention. Each factor had four items loading with a correlation range of > 0.37 x < 0.92. The internal consistency (Cronbach's alpha) for the VSAT total score in each group was excellent (NoND a=0.83, MildND a=0.81, and MajorND a=0.84). To investigate construct validity, the VSAT items were entered into factor analysis with measures of attention and executive function (i.e., Digit Span [forward, backward, sequence], Trail Making Test A & B, semantic fluency (animals), Controlled Oral Word Association Test [COWAT, FAS]). All three patient groups were combined (N=950) given the VSAT's consistent factor structure. Using the same EFA procedure as before, two main factors emerged with the VSAT Complex Attention variables loading on a general complex attention/working memory factor including Trails B, semantic fluency, and Digit Span subtests. The VSAT Simple Attention items loaded on a general attention factor with the VSAT Simple Attention variables and Trails A. COWAT did not load significantly on either factor. Conclusions: The latent factor structure of the VSAT was consistent across patient populations with excellent internal consistency in each clinical group. The Complex and Simple Attention factors of the VSAT loaded on factors with similar variables identifying the anticipated latent factor structure demonstrating the construct validity of the VSAT across a wide spectrum of cognitive impairment in patients with primary memory complaints ranging from NoND to MajorND. This supports the use of the VSAT in patients across neurocognitive severity. Future studies will further explore additional psychometric properties of this instrument. [ABSTRACT FROM AUTHOR]

Objective: Poor mood and quality of life is common among patients with medically intractable seizures. Many of these patients are not candidates for seizure focus resection and continue to receive standard medical care. Responsive neurostimulation (RNS) has been an effective approach to reduce seizure frequency for nonsurgical candidates. Previous research using RNS clinical trial participants has demonstrated improved mood and quality of life when patients received RNS-implantation earlier in their medically resistant epilepsy work-up (Loring et al., 2021). We aimed to describe the level of depression and quality of life in adults with medical resistant epilepsy, treated with RNS, presenting to an outpatient clinic. Participants and Methods: This pilot study was conducted among 11 adult epilepsy patients treated with RNS at the epilepsy specialty clinic at Baylor College of Medicine. Ages of participants ranged from 18-56 (M=32.01, SD=12.37) with a mean education of 12.43 (SD=0.85). The majority of the participants identified as White (White=72.2%; Hispanic/Latino/a=14.3%, Other=7.1%). We also present pre- and post-RNS preliminary results of a subset of 4 patients for whom pre and post implantation data was available. Depression symptoms were assessed through the Beck Depression Inventory, 2nd Edition (BDI-II) and quality of life was determined using the Quality of Life in Epilepsy (QoLiE-31). Results: Patients reported minimal symptoms of depression (M=5.45, SD=4.03) and good overall quality of life (M=71.18, SD=14.83) after RNS. Participants' scores on their overall quality of life ranged from 50 to 95 (100=better quality of life). The QoLiE-31 showed high scores on emotional wellbeing (M=69.45, SD=14.56) and cognitive functioning (M=65.36, SD=16.66) domains. Post-hoc analysis revealed a significant difference in the cognitive functioning domain of QoLiE-31 before (M=44.75, SD=12.58) and after (M=51.0, SD=11.58) RNS implantation(t(3)=-3.78, p=0.016. Additionally, overall QoLiE score approached statistical significance when comparing pre-RNS (M=44.75 SD=9.29) to post-RNS (M=49.75 SD=11.62; t(3)=-2.01, p = 0.069). No significant differences were evident on seizure worry, energy/fatigue, medication effects, and social functioning domains of QoLiE-31 before and after RNS treatment. Conclusions: These pilot study results suggest low levels of depression with this population post-RNS implantation. Additionally, there is preliminary evidence to suggest improved patient-rated cognitive functioning and overall quality of life. While this is a small study population, the results have important implications for patients with intractable epilepsy, even with those form who surgical resection may not be possible. Future studies with large enough samples to examine moderating and mediating factors to mood and quality of life changes post-RNS will be important. [ABSTRACT FROM AUTHOR]