A Protocol for Remote Cognitive Training Developed for Use in Clinical Populations During the COVID-19 Pandemic.

Many traumatic brain injury (TBI) survivors face scheduling and transportation challenges when seeking therapeutic interventions. The COVID-19 pandemic created a shift in the use of at-home spaces for work, play, and research, inspiring the development of online therapeutic options. In the current study, we determined the feasibility of an at-home cognitive training tool (NeuroTrackerX) that uses anaglyph three-dimensional (3D) glasses and three-dimensional multiple object tracking (3D-MOT) software. We recruited 20 adults (10 female; mean age = 68.3 years, standard deviation [SD] = 6.75) as the at-home training group. We assessed cognitive health status for participants using a self-report questionnaire and the Mini-Mental State Examination (MMSE), and all participants were deemed cognitively healthy (MMSE >26). At-home participants loaned the necessary equipment (e.g., 3D glasses, computer equipment) from the research facilities and engaged in 10 training sessions over 5 weeks (two times per week). Participant recruitment, retention, adherence, and experience were used as markers of feasibility. For program validation, 20 participants (10 female; mean age = 63.39 years, SD = 12.22), who had previously completed at least eight sessions of the in-lab 3D-MOT program, were randomly selected as the control group. We assessed individual session scores, overall improvement, and learning rates between groups. Program feasibility is supported by high recruitment and retention, 90% participant adherence, and participants' ease of use of the program. Validation of the program is supported. Groups showed no differences in session scores (p > 0.05) and percentage improvement (p > 0.05) despite the differences in screen size and 3D technology. Participants in both groups showed significant improvements in task performance across the training sessions (p < 0.001). NeuroTrackerX provides a promising at-home option for cognitive training in cognitively healthy adults and may be a promising avenue as an at-home therapeutic for TBI survivors. This abstract was previously published on clinicaltrials.gov and can be found at: https://www.clinicaltrials.gov/ct2/show/NCT05278273.

A psychometric examination of the PAI-SF in persons with recent stroke.

Objective: The present study evaluated the psychometric properties of the Personality Assessment Inventory-Short Form (PAI-SF) for use with patients with recent stroke. Method: Study participants (N = 170) were inpatients in a tertiary hospital in Western Canada admitted to a rehabilitation department who completed a neuropsychological evaluation as part of their care. All participants completed the full-form of the PAI (344 items) and both full- and short-form (160 items) versions were scored from the same protocol. Results: Internal consistency for the PAI-SF scales was assessed by Cronbach's coefficient alpha. Alpha coefficients for clinical scales fell between the range of 0.53 (ANT) to 0.88 (ANX), with three scales (ANT, ALC, and DRG) falling below satisfactory (<0.70). Alpha coefficients were unsatisfactory for validity, treatment, and interpersonal scales. Absolute differences between mean clinical scale t scores between the full and short-form PAI clinical scales ranged from 0.04 (DEP) to 1.18 (MAN). For an individual, absolute differences in scale t scores between the full- and short-forms ranged from 0 to 30 t scores. On average, an individual varied 3.75 t scores between the PAI full- and short-form across all validity, clinical, interpersonal, and treatment scales. Component structure was similar across the full- and short-forms. Conclusions: Findings are somewhat consistent with previous literature on the PAI-SF as the full- and short-forms had minimal differences and similar psychometric properties. However, caution is warranted for the clinical utility for both forms given the lower alpha coefficients and different structure. Only certain clinical scales appear to have strong psychometric properties.

A Systematic Review of Neuroimaging Studies Comparing Individuals with Subjective Cognitive Decline to Healthy Controls.

BACKGROUND: Individuals with subjective cognitive decline (SCD) are hypothesized to be the earliest along the cognitive continuum between healthy aging and Alzheimer's disease (AD), although more research is needed on this topic. Given that treatment approaches may be most effective pre-clinically, a primary objective of emerging research is to identify biological markers of SCD using neuroimaging methods. OBJECTIVE: The current review aimed to comprehensively present the neuroimaging studies on SCD to date. METHODS: PubMed and PsycINFO databases were searched for neuroimaging studies of individuals with SCD. Quality assessments were completed using the Appraisal tool for Cross-Sectional Studies. RESULTS: In total, 62 neuroimaging studies investigating differences between participants with SCD and healthy controls were identified. Specifically, the number of studies were as follows: 36 MRI, 6 PET, 8 MRI/PET, 4 EEG, 7 MEG, and 1 SPECT. Across neuroimaging modalities, 48 of the 62 included studies revealed significant differences in brain structure and/or function between groups. CONCLUSION: Neuroimaging methods can identify differences between healthy controls and individuals with SCD. However, inconsistent results were found within and between neuroimaging modalities. Discrepancies across studies may be best accounted for by methodological differences, notably variable criteria for SCD, and differences in participant characteristics and risk factors for AD. Clinic based recruitment and cross-sectional study design were common and may bias the literature. Future neuroimaging investigations of SCD should consistently incorporate the standardized research criteria for SCD (as recommended by the SCD-Initiative), include more details of their SCD sample and their symptoms, and examine groups longitudinally.

Aging in Place: Challenges of Older Adults with Self-Reported Cognitive Decline.

BACKGROUND: An emergent concern related to the aging and the increased risk of cognitive decline is the institutionalization of older adults. Evidence has shown that aging in place leads to many benefits, including higher quality of life. In order to support older adults, it is imperative that we understand the challenges people with changes in cognition face while aging in place. METHODS: A total of sixteen older adults with self-reported cognitive decline and six informal caregivers of individuals reporting cognitive decline, all of whom are living in independent residences, participated. Focus group sessions with semi-structured interviews were conducted, followed by thematic qualitative data analyses. RESULTS: Thematic analyses led to the identification of six challenges to aging in place, including: 1) memory decline, 2) emotional challenges/low mood, 3) social isolation/loneliness, 4) difficulty with mobility and physical tasks, 5) difficulties with activities of daily living/instrumental activities of daily living, and 6) lack of educational resources on cognitive change. CONCLUSION: The themes identified in the current study represent common challenges in aging in place for older adults with self-reported cognitive decline. Identification of these themes allows for important next steps, which can focus on supports through targeted interventions.

Microstructural White Matter Characteristics in Parkinson's Disease With Depression: A Diffusion Tensor Imaging Replication Study.

Background: Clarifying the neuropathology of depression as a symptom of Parkinson's disease (PD) has been the goal of recent neuroimaging studies; however, results have been conflicting and lack replication. The purpose of the current study was to replicate recent methods that have used diffusion tensor imaging (DTI) to compare individuals with PD with and without depression and to extend previous findings to allow for a better understanding of the results. Methods: Thirty-seven participants with de novo PD were retrieved from the Parkinson's Progression Marker's Initiative (PPMI) and were separated into a depressed PD group (dPD) or a non-depressed PD group (ndPD). Groups were determined based on scores on the Geriatric Depression Scale Short Form (GDS-15). Initially, a replicated cut off score of ≥ 5 for dPD and <5 for ndPD was applied. To better understand the results, we secondarily applied a more extreme group analysis with ≥ 9 for dPD and 0 for ndPD. White matter integrity between groups was compared between groups using tract-based spatial statistics. Results and Conclusion: The current study did not reveal significant differences in white matter microstructure between dPD and ndPD groups at the whole brain level or in specific regions of interest. The extreme group results were consistent. These findings did not replicate previous work that found reduced white matter integrity in limbic prefrontal regions in dPD relative to ndPD. The current study highlights the need for more replications of neuroimaging research.

Tract-Based Spatial Statistics Reveal Lower White Matter Integrity Specific to Idiopathic Rapid Eye Movement Sleep Behavior Disorder as a Proxy for Prodromal Parkinson's Disease.

BACKGROUND: Parkinson's disease (PD) is characterized by distinct motor symptoms which do not manifest until significant neurodegeneration has already occurred. Therefore, preventative treatments depend on PD being detected in a prodromal phase. To date, prodromal PD (pPD) has been conceptualized based on conditions such as REM Sleep Behavior Disorder (RBD), which has a high conversion rate to clinical PD (cPD). However, few studies have examined microstructural differences between healthy controls (HC), pPD, and cPD. OBJECTIVE: The current study examined white matter microstructure in different phases of PD progression. METHODS: Participants included 21 HC, 20 pPD (14 with RBD and 6 with hyposmia), and 17 cPD from the Parkinson's Progression Markers Initiative database. Tract-based spatial statistics were used to determine between group differences in fractional anisotropy (FA) and mean diffusivity (MD). RESULTS: Mean diffusivity was significantly increased in pPD relative to cPD in widespread, but mostly right lateralized regions. Post-hoc analyses indicated that this pattern was particular to individuals with RBD. There were no microstructural differences between HC and pPD or cPD. The pPD group had significantly higher RBD symptoms and the cPD group had significantly higher motor symptoms. CONCLUSIONS: Observed microstructural deterioration in individuals with RBD relative to cPD may indicate an altered pattern of neurodegeneration associated with RBD as a prodromal symptom of PD. Future studies should aim to further characterize possible differential patterns of progression from various non-motor symptoms (e.g., RBD, hyposmia) to cPD using longitudinal designs.

White matter and its relationship with cognition in subjective cognitive decline.

INTRODUCTION: Subjective cognitive decline (SCD) is the earliest stage on the continuum toward Alzheimer's disease. This study examined (1) differences in white matter integrity between individuals with SCD and healthy control subjects and (2) how white matter integrity related to memory and executive function. METHODS: Diffusion tensor imaging and neuropsychological assessment data were retrieved from the Alzheimer's Disease Neuroimaging Initiative database for 30 individuals with SCD and 44 control subjects. RESULTS: Results revealed significantly lower white matter integrity in individuals with SCD relative to control subjects in widespread regions, including the bilateral corticospinal tracts, superior and inferior longitudinal fasciculi, fronto-occipital fasciculi, corpus callosum, forceps major and minor, hippocampi, anterior thalamic radiations, and the cerebellum. There was a widespread relationship between diffusion tensor imaging metrics and executive function in SCD, but not healthy control subjects, and no relationship with memory for either group. DISCUSSION: Relatively lower white matter integrity in SCD may be a useful early biomarker for risk of future cognitive decline. Future research should better characterize the SCD group longitudinally and in individuals at risk for Alzheimer's disease.