Cognitive Speed of Processing Training Can Promote Community Mobility among Older Adults: A Brief Review

Background. Community mobility is crucial for maintaining independent functioning and quality of life for older adults. Purpose. The present paper describes the relationship of cognition, particularly speed of processing as measured by the Useful Field of View Test, to mobility as indicated by driving behaviors, life space, and falls among healthy older adults. Research examining the impact of cognitive speed of processing training (SOPT) on older adults' community mobility (i.e., driving behaviors) is also summarized. Key Issues. Even slight cognitive declines can place older adults at risk for mobility limitations. However, cognitive interventions like SOPT can mitigate declines in driving mobility. Implications. The potential of SOPT to sustain community mobility among older adults is discussed

The AURORA Study: A Longitudinal, Multimodal Library of Brain Biology and Function after Traumatic Stress Exposure

Adverse posttraumatic neuropsychiatric sequelae (APNS) are common among civilian trauma survivors and military veterans. These APNS, as traditionally classified, include posttraumatic stress, postconcussion syndrome, depression, and regional or widespread pain. Traditional classifications have come to hamper scientific progress because they artificially fragment APNS into siloed, syndromic diagnoses unmoored to discrete components of brain functioning and studied in isolation. These limitations in classification and ontology slow the discovery of pathophysiologic mechanisms, biobehavioral markers, risk prediction tools, and preventive/treatment interventions. Progress in overcoming these limitations has been challenging because such progress would require studies that both evaluate a broad spectrum of posttraumatic sequelae (to overcome fragmentation) and also perform in-depth biobehavioral evaluation (to index sequelae to domains of brain function). This article summarizes the methods of the Advancing Understanding of RecOvery afteR traumA (AURORA) Study. AURORA conducts a large-scale (n = 5000 target sample) in-depth assessment of APNS development using a state-of-the-art battery of self-report, neurocognitive, physiologic, digital phenotyping, psychophysical, neuroimaging, and genomic assessments, beginning in the early aftermath of trauma and continuing for 1 year. The goals of AURORA are to achieve improved phenotypes, prediction tools, and understanding of molecular mechanisms to inform the future development and testing of preventive and treatment interventions

Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

NASA's Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI's footprint-level (similar to 25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies, and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI's waveform-to-biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g. RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AGBD and/or height metrics. There was considerable variability in model performance across geographic strata, and areas with sparse training data and/or high AGBD values had the poorest performance. These models are used to produce global predictions of AGBD, but will be improved in the future as more and better training data become available

A prospective examination of sex differences in posttraumatic autonomic functioning.

Background: Cross-sectional studies have found that individuals with posttraumatic stress disorder (PTSD) exhibit deficits in autonomic functioning. While PTSD rates are twice as high in women compared to men, sex differences in autonomic functioning are relatively unknown among trauma-exposed populations. The current study used a prospective design to examine sex differences in posttraumatic autonomic functioning. Methods: 192 participants were recruited from emergency departments following trauma exposure ( Results: 2-week systolic BP was significantly higher in men, while 2-week HR was significantly higher in women, and a sex by PTSD interaction suggested that women who developed PTSD demonstrated the highest HR levels. Two-week HF-HRV was significantly lower in women, and a sex by PTSD interaction suggested that women with PTSD demonstrated the lowest HF-HRV levels. Skin conductance response in the emergency department was associated with 2-week HR and HF-HRV only among women who developed PTSD. Conclusions: Our results indicate that there are notable sex differences in autonomic functioning among trauma-exposed individuals. Differences in sympathetic biomarkers (BP and HR) may have implications for cardiovascular disease risk given that sympathetic arousal is a mechanism implicated in this risk among PTSD populations. Future research examining differential pathways between PTSD and cardiovascular risk among men versus women is warranted

Socio-demographic and trauma-related predictors of PTSD within 8 weeks of a motor vehicle collision in the AURORA study

This is the initial report of results from the AURORA multisite longitudinal study of adverse post-traumatic neuropsychiatric sequelae (APNS) among participants seeking emergency department (ED) treatment in the aftermath of a traumatic life experience. We focus on n = 666 participants presenting to EDs following a motor vehicle collision (MVC) and examine associations of participant socio-demographic and participant-reported MVC characteristics with 8-week posttraumatic stress disorder (PTSD) adjusting for pre-MVC PTSD and mediated by peritraumatic symptoms and 2-week acute stress disorder (ASD). Peritraumatic Symptoms, ASD, and PTSD were assessed with self-report scales. Eight-week PTSD prevalence was relatively high (42.0%) and positively associated with participant sex (female), low socioeconomic status (education and income), and several self-report indicators of MVC severity. Most of these associations were entirely mediated by peritraumatic symptoms and, to a lesser degree, ASD, suggesting that the first 2 weeks after trauma may be a uniquely important time period for intervening to prevent and reduce risk of PTSD. This observation, coupled with substantial variation in the relative strength of mediating pathways across predictors, raises the possibility of diverse and potentially complex underlying biological and psychological processes that remain to be elucidated with more in-depth analyses of the rich and evolving AURORA data

Use of Serial Smartphone-Based Assessments to Characterize Diverse Neuropsychiatric Symptom Trajectories in a Large Trauma Survivor Cohort

The authors sought to characterize adverse posttraumatic neuropsychiatric sequelae (APNS) symptom trajectories across ten symptom domains (pain, depression, sleep, nightmares, avoidance, re-experiencing, anxiety, hyperarousal, somatic, and mental/fatigue symptoms) in a large, diverse, understudied sample of motor vehicle collision (MVC) survivors. More than two thousand MVC survivors were enrolled in the emergency department (ED) and completed a rotating battery of brief smartphone-based surveys over a 2-month period. Measurement models developed from survey item responses were used in latent growth curve/mixture modeling to characterize homogeneous symptom trajectories. Associations between individual trajectories and pre-trauma and peritraumatic characteristics and traditional outcomes were compared, along with associations within and between trajectories. APNS across all ten symptom domains were common in the first two months after trauma. Many risk factors and associations with high symptom burden trajectories were shared across domains. Both across and within traditional diagnostic boundaries, APNS trajectory intercepts, and slopes were substantially correlated. Across all domains, symptom severity in the immediate aftermath of trauma (trajectory intercepts) had the greatest influence on the outcome. An interactive data visualization tool was developed to allow readers to explore relationships of interest between individual characteristics, symptom trajectories, and traditional outcomes ( http://itr.med.unc.edu/aurora/parcoord/ ). Individuals presenting to the ED after MVC commonly experience a broad constellation of adverse posttraumatic symptoms. Many risk factors for diverse APNS are shared. Individuals diagnosed with a single traditional outcome should be screened for others. The utility of multidimensional categorizations that characterize individuals across traditional diagnostic domains should be explored

The Effects of Cognitive Stimulation and Computerized Memory Training among Older Adults Residing in Indepedent-Living Facilities

Background: With age, older adults experience declines in both short- and long-term memory. One way to counter these age-related declines is through memory interventions which include computerized cognitive training and non-computerized cognitive stimulation. This dissertation examined whether a cognitive training program, Dakim BrainFitness (Dakim Inc., 2002) and a program of cognitive stimulation, Mind Your Mind (Seagull & Seagull, 2007), enhance memory performance among cognitively-intact older adults residing in independent-living retirement communities. Specifically, the following research questions were proposed: (a) How effective is the computerized cognitive training program in improving memory performance relative to the cognitive stimulation program or a no-contact control condition? (b) How effective is the non-computerized cognitive stimulation program, Mind Your Mind, at improving memory performance relative to a control condition? and (c) Will memory training gains endure 3-months post-training for those who participate in cognitive training? Method: Fifty-three older adults were randomized to cognitive training (n = 19), cognitive stimulation (n = 17), or a no-contact control (n = 17) condition. Participants in the cognitive training and cognitive stimulation conditions were asked to complete five 25-minute sessions per week for a 10-week period. Memory outcome measures included the Auditory Verbal Learning Test (AVLT), the Hopkins Verbal Learning Test (HVLT), and the Wechsler Memory Scale-Third Edition (WMS-III) Family Pictures subtest. Outcome measures were administered at baseline, immediately post-training (or equivalent delay), and again at 3-months post-training. Results: Multivariate Analysis of Variance indicated no significant differences between the three training conditions on baseline characteristics and memory outcome scores (p = .660). To test hypotheses one and two, memory outcome measures were compared across training conditions and testing occasions. A repeated measures MANOVA indicated a significant group x time interaction, Wilks\u27 Λ =.585, F(10,92) = 2.83, p = .004, partial η2 = .235. Follow-up analyses for each memory outcome measure from baseline to immediately post-training were conducted with training condition as the independent variable. Significant group x time interactions were found between conditions for AVLT delayed recall, F(2,50) = 3.683, p = .032, partial η2 = .128, and the HVLT immediate recall, F(2,50) = 5.059, p = .010, partial η2 = .168. No significant group x time interaction was indicated on the AVLT immediate recall, F(2,50) = 2.544, p = .089, partial η2 = .092. There was a marginally significant group x time interaction on the WMS-III Family Pictures delayed recall F(2,50) = 2.975, p = .060, partial η2 = .106. Post-hoc comparisons for significant outcome measures were conducted using Fisher\u27s LSD test, while controlling for baseline performance. Results indicated that the cognitive training condition performed significantly better than the cognitive stimulation condition from baseline to immediately post-training on the AVLT delayed recall (p = .012), as well as on HVLT immediate recall (p \u3c .001). The cognitive training condition also performed significantly better from baseline to immediately post-training as compared to the no-contact control condition (p = .011). A significant difference between the cognitive training condition and the no-contact control condition was also found on the WMS-III delayed recall measure (p = .030) immediately post-training. No significant differences between any of the conditions were found on either AVLT immediate or WMS-III Family Pictures immediate recall (ps \u3e .05). There were no differences between the cognitive stimulation and control conditions across all memory outcomes (ps \u3e .05). For hypothesis three, a repeated measures MANOVA indicated no main effect of time within the cognitive training condition for the memory outcome measures, Wilks\u27 Λ = .047, F(6,11) = 2.11, p = .135, partial η2 = .535. Discussion: These findings provide evidence that the adaptive computerized cognitive training program, Dakim BrainFitness, significantly improved memory abilities as measured by the AVLT delayed recall, HVLT, and WMS-III Family Pictures delayed recall relative to cognitive stimulation. In contrast, there were no significant improvements for participants in the non-adaptive, non-computerized program of cognitive stimulation relative to controls. These findings coincide with the Model of Adult Cognitive Plasticity that in order to improve cognitive performance, there needs to be a mismatch between the individual\u27s capacities and the demands of the task. Adaptive cognitive training may be more likely to provide a mismatch and produce positive plasticity changes in the brain. Future research pertains to exploring the cognitive benefits that these programs have on other types of cognitive domains

Pretrial Publicity and Juror Age Affect Mock-juror Decision Making

We explored the effects of pretrial publicity (PTP) and juror age on decision making and source memory. Mock jurors read news articles containing negative PTP, positive PTP, or unrelated stories. One week later they viewed a murder trial, made decisions about guilt, and completed a source memory test. We found that only positive PTP had a significant effect on older jurors\u27 verdicts and impressions (positivity effect); while only negative PTP had a significant effect on younger jurors\u27 verdicts (negativity effect). PTP and juror age had significant effects on accurate source memory judgments (accurately attributing trial information to the trial) with older jurors and those exposed to PTP being less accurate. Only PTP had a significant effect on jurors\u27 critical source memory errors (misattributing information in the PTP to the trial or both the trial and the PTP) with those exposed to negative PTP making more of these errors than jurors in the other PTP conditions

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Background. Community mobility is crucial for maintaining independent functioning and quality of life for older adults. Purpose. The present paper describes the relationship of cognition, particularly speed of processing as measured by the Useful Field of View Test, to mobility as indicated by driving behaviors, life space, and falls among healthy older adults. Research examining the impact of cognitive speed of processing training (SOPT) on older adults' community mobility (i.e., driving behaviors) is also summarized. Key Issues. Even slight cognitive declines can place older adults at risk for mobility limitations. However, cognitive interventions like SOPT can mitigate declines in driving mobility. Implications. The potential of SOPT to sustain community mobility among older adults is discussed