Objectives: The present study aims to assess the prevalence, associated clinical symptoms, longitudinal changes, and imaging correlates of Loss of Insight (LOI), which is still unexplored in syndromes associated with Frontotemporal Lobar Degeneration (FTLD).
Design: Retrospective longitudinal cohort study, from Oct 2009 to Feb 2023.
Setting: Tertiary Frontotemporal Dementia research clinic.
Participants: A sample of 712 FTLD patients, 331 of whom had follow-up evaluation.
Measurements: LOI was assessed by interview with the primary caregiver. Univariate and multiple logistic regression and linear mixed models were used to estimate predictors and longitudinal changes over time associated with LOI. Voxel-based morphometry and structural covariance analyses of brain structural MRI images were implemented in Statistical Parametric Mapping.
Results: LOI was reported in 45% of patients (321/712, 95%CI = 41-49), with progressively increased prevalence from prodromal to severe dementia stages. LOI was more prevalent in the behavioural variant FTD, in the semantic variant of Primary Progressive Aphasia (svPPA) and FTD with Amyotrophic Lateral Sclerosis than in other phenotypes (all p-values<0.001). LOI severity increased over time only in patients with svPPA (β = +0.59, p <0.001) and clustered with other behavioral symptoms (all p-values <0.05). Finally, LOI was significantly associated with greater atrophy in the right medial orbital gyrus (p <0.001 uncorrected). Structural covariance analysis demonstrated loss of negative correlation between right medial orbital gyrus and regions belonging to the Default Mode Network (DMN), such as the left precuneus and the left angular gyrus (p ≤0.05 family-wise error-corrected) in FTLD patients with LOI.
Conclusions: A better comprehension of LOI mechanisms could lead to more effective interventions and healthcare policies.
Objectives: It is unknown whether cognitive test scores are equivalently associated with informant-rated cognitive decline across culturally and linguistically diverse older adults. We examined the association between cognitive domain scores on the Harmonized Cognitive Assessment Protocol (HCAP) and informant-rated cognitive decline in a harmonized population-based sample of older adults.
Design, setting, and participants: We combined data from the HCAP sub-study of the Health and Retirement Study (HRS; 2016) and the Brain Attack Surveillance in Corpus Christi-Cognitive (BASIC-C; 2018-2020) study. We included Hispanic/Latino-a-e-x (H/L; n = 566) and non-H/L white (NHW; n = 2,145) older adults.
Measurement: Both studies included the HCAP cognitive assessment with domain scores for memory, attention/executive function (EF), language, visuospatial, orientation, and general cognitive performance (GCP). Informants rated cognitive decline with the Informant Questionnaire of Cognitive Decline in the Elderly (IQCODE).
Results: Cognitive domain scores were more strongly associated with IQCODE scores for NHW than H/L participants for four of six domains (GCP, EF, visuospatial, and orientation) after adjusting for demographics (age, sex/gender, education) and study membership. Informants generally rated greater cognitive decline in NHW than H/L respondents for a given cognitive domain score, and the magnitude of this difference was greater for lower cognitive test scores.
Conclusions: We found generally weaker associations between cognitive performance and informant-rated cognitive decline in H/L compared to NHW older adults. These findings suggest cognitive measurement differences across culturally and linguistically diverse older adult populations, which may result in underestimation of cognitive impairment in H/L populations.
Objective: To investigate the effects of discordant medication beliefs on diabetes self-management and glycemic control in older Black individuals with diabetes and Mild Cognitive Impairment (MCI).
Methods: Cross-sectional analysis of baseline data from two clinical trials testing behavioral interventions to improve glycemic control in older Black primary care patients with diabetes and MCI.
Results: The mean number of discordant medication beliefs was 6 (SD = 3; range 0 to 16). Sixty-seven of 246 (27%) participants held ≥ 9 discordant beliefs (i.e., one SD above the mean), and these participants had worse diabetes self-management and glycemic control than participants with fewer beliefs.
Conclusions: Discordant medication beliefs, low adherence to diabetes self-management, poor glycemic control, and impaired cognition may exist in a causal relationship. Modifying discordant medication beliefs may eliminate the first step of this pathogenic sequence and reduce risk of cognitive decline in a high-risk population of older Black individuals with diabetes.
Objective: Brain atrophy measured by structural imaging has been used to quantify resilience against neurodegeneration in Alzheimer's disease. Considering glucose hypometabolism is another marker of neurodegeneration, we quantified metabolic resilience (MR) based on Fluorodeoxyglucose positron emission tomography (FDG PET) and investigated its clinical implications.
Methods: We quantified the MR and other resilience metrics, including brain resilience (BR) and cognitive resilience (CR), using partial least squares path modeling from the ADNI database. A linear mixed-effects model and a Cox proportional hazards model were used to identify the impact of each resilience on longitudinal cognitive function and conversion to dementia, respectively.
Results: A total of 848 participants were included in this study. All resilience metrics (CR, BR, and MR) were associated with slower cognitive decline. Results from the ANOVA test, AIC and BIC values showed that the additional inclusion of MR improved the performances of the linear mixed effect models. In survival analysis, all resilience variables were negatively associated with the risk of conversion to dementia. In line with the results of the linear mixed effects models, the additional inclusion of MR into the models with different resilience variables increased the C-index.
Conclusion: Relative preservation of brain glucose metabolism is a valuable predictor of future cognitive decline and conversion to dementia, adding value to existing resilience metrics. While the utility of FDG PET in clinical settings is limited by cost and accessibility, it might have potential usefulness as a prognostic marker, especially in a context of resilience.