Toward precision brain health: accurate prediction of a cognitive index trajectory using neuroimaging metrics.

The goal of precision brain health is to accurately predict individuals' longitudinal patterns of brain change. We trained a machine learning model to predict changes in a cognitive index of brain health from neurophysiologic metrics. A total of 48 participants (ages 21-65) completed a sensorimotor task during 2 functional magnetic resonance imaging sessions 6 mo apart. Hemodynamic response functions (HRFs) were parameterized using traditional (amplitude, dispersion, latency) and novel (curvature, canonicality) metrics, serving as inputs to a neural network model that predicted gain on indices of brain health (cognitive factor scores) for each participant. The optimal neural network model successfully predicted substantial gain on the cognitive index of brain health with 90% accuracy (determined by 5-fold cross-validation) from 3 HRF parameters: amplitude change, dispersion change, and similarity to a canonical HRF shape at baseline. For individuals with canonical baseline HRFs, substantial gain in the index is overwhelmingly predicted by decreases in HRF amplitude. For individuals with non-canonical baseline HRFs, substantial gain in the index is predicted by congruent changes in both HRF amplitude and dispersion. Our results illustrate that neuroimaging measures can track cognitive indices in healthy states, and that machine learning approaches using novel metrics take important steps toward precision brain health.

Exploring how brain health strategy training informs the future of work.

Introduction: The workplace typically affords one of the longest periods for continued brain health growth. Brain health is defined by the World Health Organization (WHO) as the promotion of optimal brain development, cognitive health, and well-being across the life course, which we expanded to also include connectedness to people and purpose. This work was motivated by prior work showing individuals, outside of an aggregate setting, benefitted from training as measured by significant performance gains on a holistic BrainHealth Index and its factors (i.e., clarity, connectedness, emotional balance). The current research was conducted during the changing remote work practices emerging post-pandemic to test whether a capacity-building training would be associated with significant gains on measures of brain health and components of burnout. The study also tested the influence of utilization of training modules and days in office for individuals to inform workplace practices. Methods: We investigated whether 193 individuals across a firm's sites would improve on measures of brain health and burnout from micro-delivery of online tactical brain health strategies, combined with two individualized coaching sessions, and practical exercises related to work and personal life, over a six-month period. Brain health was measured using an evidenced-based measure (BrainHealth™ Index) with its components (clarity, connectedness, emotional balance) consistent with the WHO definition. Burnout was measured using the Maslach Burnout Inventory Human Services Survey. Days in office were determined by access to digital workplace applications from the firm's network. Regression analyses were used to assess relationships between change in BrainHealth factors and change in components of the Maslach Burnout Inventory. Results: Results at posttest indicated that 75% of the individuals showed gains on a composite BrainHealth Index and across all three composite factors contributing to brain health. Benefits were directly tied to training utilization such that those who completed the core modules showed the greatest gains. The current results also found an association between gains on both the connectedness and emotional balance brain health factors and reduced on burnout components of occupational exhaustion and depersonalization towards one's workplace. We found that fewer days in the office were associated with greater gains in the clarity factor, but not for connectedness and emotional balance. Discussion: These results support the value of a proactive, capacity-building training to benefit all employees to complement the more widespread limited offerings that address a smaller segment who need mental illness assistance programs. The future of work may be informed by corporate investment in focused efforts to boost collective brain capital through a human-centered, capacity-building approach. Efforts are underway to uncover the value of better brain health, i.e., Brainomics© - which includes economic, societal, and individual benefits.

Effects of online brain training on self-reported mental health symptoms for generally healthy adults during the Covid-19 pandemic.

BACKGROUND: The cognitive training Strategic Memory Advanced Reasoning Training (SMART) has been shown to improve symptoms of depression, anxiety, and stress when completed using in-person delivery, but mental health outcomes have not yet been studied for online delivery of SMART. METHODS: Data was analyzed from 145 generally healthy adults participating in the BrainHealth Project pilot study who had access to 12 weeks of online self-paced SMART and self-reported mental health symptoms on the Depression Anxiety Stress Scale (DASS-21) pre- and post-training. We utilized linear models to examine the change in self-reported symptoms of depression, anxiety, and stress following the 12-week training period and to explore the influence of age, gender, and education on changes in symptomatology. Data from 44 participants who completed a follow-up DASS-21 6 months after completing SMART was used to explore the lasting impact of the training. RESULTS: Improvements in depression, anxiety, and stress symptoms were observed following online SMART, evidenced by a significant decrease in self-reported symptoms on the DASS-21. Improvement in self-reported mental health symptomatology was maintained or continued to improve 6-month post-training. No significant effect of gender was observed, but findings motivate additional exploration of the effects of education and age. CONCLUSION: Online SMART should be considered a low-cost, high-impact approach for supporting public mental health for generally healthy adults.

Investing in Late-Life Brain Capital.

Within many societies and cultures around the world, older adults are too often undervalued and underappreciated. This exacerbates many key challenges that older adults may face. It also undermines the many positive aspects of late life that are of tremendous value at both an individual and societal level. We propose a new approach to elevate health and well-being in late life by optimizing late-life Brain Capital. This form of capital prioritizes brain skills and brain health in a brain economy, which the challenges and opportunities of the 21st-century demands. This approach incorporates investing in late-life Brain Capital, developing initiatives focused on building late-life Brain Capital.

Enhancing Patient Understanding of Medication Risks and Benefits.

OBJECTIVE: To evaluate the effectiveness of 2 interventions, including the DrugFactsBox format for presenting written medication information and the SMART (Strategic Memory Advanced Reasoning Training) program designed to enhance gist (i.e., "bottom-line" meaning) reasoning ability. METHODS: We used a 2 × 2 factorial research design. A total of 286 patients with rheumatoid arthritis were randomly assigned to 1 of 4 groups, including DrugFactsBox with the SMART program, DrugFactsBox without the SMART program, other consumer medication information (CMI) with the SMART program, and other CMI without the SMART program. Data were collected via telephone interviews and online questionnaires at 4 time points, including baseline and 6-week, 3-month, and 6-month time points following baseline. The primary outcome variable was informed decision-making, which was defined as making a value-consistent decision concerning use of disease-modifying antirheumatic drugs based on adequate knowledge. RESULTS: We found no main effects for the 2 interventions, either alone or in combination. However, there was a significant interaction between assignment to the SMART/no SMART groups and informed decision-making at baseline. Among participants in the SMART groups who did not meet the criteria for informed decision-making at baseline, 42.5% met the criteria at the 6-month follow-up, compared to 23.6% of participants in the no SMART groups (mean difference 18.9 [95% confidence interval 5.6, 32.2]; P = 0.007). This difference was driven by increased knowledge in the SMART groups. Among participants who met the criteria for informed decision-making at baseline, the difference between the SMART and no SMART groups was not statistically significant. CONCLUSION: Participation in a theory-driven program to enhance gist reasoning may have a beneficial effect on informed decision-making among patients with inadequate knowledge concerning therapeutic options.

A Novel BrainHealth Index Prototype Improved by Telehealth-Delivered Training During COVID-19.

Introduction: Brain health is neglected in public health, receiving attention after something goes wrong. Neuroplasticity research illustrates that preventive steps strengthen the brain's component systems; however, this information is not widely known. Actionable steps are needed to scale proven population-level interventions. Objectives: This pilot tested two main objectives: (1) the feasibility/ease of use of an online platform to measure brain health, deliver training, and offer virtual coaching to healthy adults and (2) to develop a data driven index of brain health. Methods: 180 participants, ages 18-87, enrolled in this 12-week pilot. Participants took a BrainHealth Index™ (BHI), a composite of assessments encompassing cognition, well-being, daily-life and social, pre-post training. Participants engaged in online training with three coaching sessions. We assessed changes in BHI, effects of training utilization and demographics, contributions of sub-domain measures to the BHI and development of a factor analytic structure of latent BrainHealth constructs. Results: The results indicated that 75% of participants showed at least a 5-point gain on their BHI which did not depend on age, education, or gender. The contribution to these gains were from all sub-domains, including stress, anxiety and resilience, even though training focused largely on cognition. Some individuals improved due to increased resilience and decreased anxiety, whereas others improved due to increased innovation and social engagement. Larger gains depended on module utilization, especially strategy training. An exploratory factor analytic solution to the correlation matrix of online assessments identified three latent constructs. Discussion/Conclusion: This pilot study demonstrated the efficacy of an online platform to assess changes on a composite BrainHealth Index and efficacy in delivering training modules and coaching. We found that adults, college age to late life, were motivated to learn about their brain and engage in virtual-training with coaching to improve their brain health. This effort intends to scale up to thousands, thus the pilot data, tested by an impending imaging pilot, will be utilized in ongoing machine learning (ML) algorithms to develop a precision brain health model. This pilot is a first step in scaling evidence-based brain health protocols to reach individuals and positively affect public health globally.

Phosphate Brain Energy Metabolism and Cognition in Alzheimer's Disease: A Spectroscopy Study Using Whole-Brain Volume-Coil 31Phosphorus Magnetic Resonance Spectroscopy at 7Tesla.

INTRODUCTION: Mitochondrial dysfunction is a neurometabolic hallmark signaling abnormal brain energy metabolism (BEM) targeted as a potential early marker of Alzheimer's disease (AD). Advanced imaging technologies, such as 31phosphorus magnetic resonance spectroscopy (31P MRS) at ultra-high-field (UHF) magnetic strength 7T, provide sensitive phosphate-BEM (p-BEM) data with precision. The study's first goal was to develop a methodology to measure phosphate energy and membrane metabolites simultaneously across the whole-brain using volume-coil 31P MRS at 7T in three groups-cognitively normal (CN), amnestic mild cognitive impairment (aMCI), and AD. The second aim investigated whether p-BEM markers in the four brain regions-frontal, temporal, parietal, and occipital were significantly different across the three groups. The final goal examined correspondence between the p-BEM markers and cognition in the three groups. METHODS: Forty-one participants (CN = 15, aMCI = 15, AD = 11) were enrolled and completed cognitive assessment and scan. The cognitive domains included executive function (EF), memory, attention, visuospatial skills, and language. The p-BEM markers were measured using energy reserve index (PCr/t-ATP), energy consumption index (intracellular_Pi/t-ATP), metabolic state indicator (intracellular_Pi/PCr), and regulatory co-factors [magnesium (Mg2+) and intracellular pH]. RESULTS: Thirteen metabolites were measured simultaneously from the whole brain for all three group with high spectral resolution at UHF. In the aMCI group, a lower p-BEM was observed compared to CN group based on two markers, i.e., energy reserve (p = 0.009) and energy consumption (p = 0.05) indices; whereas in AD a significant increase was found in metabolic stress indicator (p = 0.007) and lower Mg2+ (p = 0.004) in the temporal lobes compared to aMCI using ANOVA between group analytical approach. Finally, using a linear mixed model, a significant positive correlation was found between Mg2+ and cognitive performance of memory (p = 0.013), EF (p = 0.023), and attention (p = 0.0003) in CN but not in aMCI or AD. CONCLUSION: To our knowledge, this is the first study to show that it is possible to measure p-BEM in vivo with precision at UHF across the three groups. Moreover, the findings suggest that p-BEM may be compromised in aMCI even before an AD diagnosis, which in future studies should explore to examine whether this energy crisis contributes to some of the earliest neuropathophysiologic changes in AD.

Cognitive Training and Transcranial Direct Current Stimulation in Mild Cognitive Impairment: A Randomized Pilot Trial.

BACKGROUND: Transcranial direct current stimulation (tDCS), a non-invasive stimulation, represents a potential intervention to enhance cognition across clinical populations including Alzheimer's disease and mild cognitive impairment (MCI). This randomized clinical trial in MCI investigated the effects of anodal tDCS (a-tDCS) delivered to left inferior frontal gyrus (IFG) combined with gist-reasoning training (SMART) versus sham tDCS (s-tDCS) plus SMART on measures of cognitive and neural changes in resting cerebral blood flow (rCBF). We were also interested in SMART effects on cognitive performance regardless of the tDCS group. METHODS: Twenty-two MCI participants, who completed the baseline cognitive assessment (T1), were randomized into one of two groups: a-tDCS + SMART and s-tDCS + SMART. Of which, 20 participants completed resting pCASL MRI scan to measure rCBF. Eight SMART sessions were administered over 4 weeks with a-tDCS or s-tDCS stimulation for 20 min before each session. Participants were assessed immediately (T2) and 3-months after training (T3). RESULTS: Significant group × time interactions showed cognitive gains at T2 in executive function (EF) measure of inhibition [DKEFS- Color word (p = 0.047)], innovation [TOSL (p = 0.01)] and on episodic memory [TOSL (p = 0.048)] in s-tDCS + SMART but not in a-tDCS + SMART group. Nonetheless, the gains did not persist for 3 months (T3) after the training. A voxel-based analysis showed significant increase in regional rCBF in the right middle frontal cortex (MFC) (cluster-wise p = 0.05, k = 1,168 mm3) in a-tDCS + SMART compared to s-tDCS + SMART. No significant relationship was observed between the increased CBF with cognition. Irrespective of group, the combined MCI showed gains at T2 in EF of conceptual reasoning [DKEFS card sort (p = 0.033)] and category fluency [COWAT (p = 0.055)], along with gains at T3 in EF of verbal fluency [COWAT (p = 0.009)]. CONCLUSION: One intriguing finding is a-tDCS to left IFG plus SMART increased blood flow to right MFC, however, the stimulation seemingly blocked cognitive benefits of SMART on EF (inhibition and innovation) and episodic memory compared to s-tDCS + SMART group. Although the sample size is small, this paper contributes to growing evidence that cognitive training provides a way to significantly enhance cognitive performance in adults showing memory loss, where the role of a-tDCS in augmenting these effects need further study.

Abstracting meaning from complex information (gist reasoning) in adult traumatic brain injury.

Gist reasoning (abstracting meaning from complex information) was compared between adults with moderate-to-severe traumatic brain injury (TBI, n = 30) at least one year post injury and healthy adults (n = 40). The study also examined the contribution of executive functions (working memory, inhibition, and switching) and memory (immediate recall and memory for facts) to gist reasoning. The correspondence between gist reasoning and daily function was also examined in the TBI group. Results indicated that the TBI group performed significantly lower than the control group on gist reasoning, even after adjusting for executive functions and memory. Executive function composite was positively associated with gist reasoning (p < .001). Additionally, performance on gist reasoning significantly predicted daily function in the TBI group beyond the predictive ability of executive function alone (p = .011). Synthesizing and abstracting meaning(s) from information (i.e., gist reasoning) could provide an informative index into higher order cognition and daily functionality.

Clinical trials: new opportunities.

Human cognitive aging has been too long neglected and underappreciated for its critical importance to quality of life in old age. The articles in this session present novel approaches to improving cognitive function in normal aging persons with drugs and interventions that are based on findings in epidemiology, studies in aged animals, and in vitro research. In addition, since aging is the primary risk factor for Alzheimer's disease, these studies also have implications as interventions for prevention and treatment. As a field of research, new knowledge regarding the causes and mechanisms of cognitive aging are ripe for translation into human studies, with the application of this knowledge leading the development of interventions and therapeutics for the prevention of cognitive decline in old age and Alzheimer's disease.

Effects of cognitive-communication stimulation for Alzheimer's disease patients treated with donepezil.

This randomized study evaluated the combined effect of a cognitive-communication program plus an acetylcholinesterase inhibitor (donepezil; donepezil-plus-stimulation group; n = 26), as compared with donepezil alone (donepezil-only group; n = 28) in 54 patients with mild to moderate Alzheimer's disease (AD; Mini-Mental Status Examination score of 12- 28) ranging in age from 54 to 91 years. It was hypothesized that cognitive-communication stimulation in combination with donepezil would positively affect the following: (a) relevance of discourse, (b) performance of functional abilities, (c) emotional symptoms, (d) quality of life, and (e) overall global function, as measured by caregiver and participant report and standardized measures. Cognitive-communication, neuropsychiatric, functional performance, and quality of life evaluations were conducted at baseline and Month 4, the month after the 2-month active stimulation period. Follow-up evaluations were performed at Months 8 and 12. The stimulation program consisted of 12 hr of intervention over an 8-week period and involved participant-led discussions requiring homework, interactive sessions about AD, and discussions using salient life stories. Additive effects of active stimulation with donepezil were examined in 2 ways: (1) comparing mean group performance over time and (2) evaluating change scores from baseline. A Group x Time interaction was found for the donepezil-plus-stimulation group in the emotional symptoms of apathy and irritability as compared with the donepezil-only group. Evaluation of change scores from baseline to 12 months revealed a positive effect for the donepezil-plus-stimulation group on discourse and functional abilities with a trend on apathy, irritability, and patient-reported quality of life. In sum, the research revealed benefits to the donepezil-plus-stimulation group in the areas of discourse abilities, functional abilities, emotional symptoms, and overall global performance. This study adds to growing evidence that active cognitive stimulation may slow the rate of verbal and functional decline and decrease negative emotional symptoms in AD when combined with acetylcholinesterase inhibitors, indicating a need to advance research in the area of cognitive treatments. The fact that AD is a progressive brain disease should not preclude ameliorative treatment.

Discourse macrolevel processing after severe pediatric traumatic brain injury.

The purpose of this study was to determine if discourse macrolevel processing abilities differed between children with severe traumatic brain injury (TBI) at least 2 years postinjury and typically developing children. Twenty-three children had sustained a severe TBI either before the age of 8 (n = 10) or after the age of 8 (n = 13). The remaining 32 children composed a control group of typically developing peers. The groups' summaries and interpretive lesson statements were analyzed according to reduction and transformation of narrative text information. Compared to the control group, the TBI group condensed the original text information to a similar extent. However, the TBI group produced significantly less transformed information during their summaries, especially those children who sustained early injuries. The TBI and control groups did not significantly differ in their production of interpretive lesson statements. In terms of related skills, discourse macrolevel summarization ability was significantly related to problem solving but not to lexical or sentence level language skills or memory. Children who sustain a severe TBI early in childhood are at an increased risk for persisting deficits in higher level discourse abilities, results that have implications for academic success and therapeutic practices.

Discourse plasticity in children after stroke: age at injury and lesion effects.

Studies of children with stroke indicate remarkable recovery of language after some initial delay. However, complex language abilities as measured by discourse (connected language) may be required to detect the full impact of stroke on subsequent cognitive-linguistic development. This study examined discourse ability in children with stroke as compared with orthopedic controls, age-at-injury, and lesion effects. Discourse between two groups of children was compared [stroke (n = 17) vs orthopedic control (n = 17)]. The stroke group was subdivided into early age at stroke (<1 year) and late age at stroke (>1 year). The discourse samples were analyzed along two dimensions: language and information structure. Results revealed that the stroke group performed at significantly lower levels than the orthopedic control group across discourse measures. The most important finding was a poorer outcome for early age at stroke as compared with later age at stroke. These findings alter the widespread belief of optimistic language outcomes after childhood stroke. Interestingly, no site or size-of-lesion effects, common to adult stroke, were identified. These findings identify poor long-term outcome with early brain insults at stages far removed from the onset of injury. The implication is that childhood stroke management should be revised to provide protracted follow-up and treatment.

Discourse changes in early Alzheimer disease, mild cognitive impairment, and normal aging.

The purpose of this study was to determine the sensitivity of discourse gist measures to the early cognitive-linguistic changes in Alzheimer disease (AD) and in the preclinical stages. Differences in discourse abilities were examined in 25 cognitively normal adults, 24 adults with mild probable AD, and 20 adults with mild cognitive impairment (MCI) at gist and detail levels of discourse processing. The authors found that gist and detail levels of discourse processing were significantly impaired in persons with AD and MCI as compared with normal control subjects. Gist-level discourse processing abilities showed minimal overlap between cognitively normal control subjects and those with mild AD. Moreover, the majority of the persons with MCI performed in the range of AD on gist measures. These findings indicate that discourse gist measures hold promise as a diagnostic complement to enhance early detection of AD. Further studies are needed to determine how early the discourse gist deficits arise in AD.