Brain health: the importance of recognizing cognitive impairment: an IAGG consensus conference

Exploring the combined neuroprotective effects of resveratrol and hesperidin in a scopolamine-induced rat model of cognitive impairment

The occurrence of cognitive impairment in normal aging and sporadic Alzheimer's disease is linked to oxidative stress. Resveratrol, a polyphenolic molecule, and hesperidin, a flavanone glycoside have exhibited powerful anti-oxidant and neuroprotective effects. The present study was designed to explore the neurotherapeutic potential of combination between resveratrol and hesperidin as preventative herbal remedies to inhibit oxidative stress and cholinergic and mitochondrial dysfunction in scopolamine-induced cognitive impairments in rats. Resveratrol (20 mg/kg, p.o.), hesperidin (20 mg/kg, p.o.), and its combination were administered orally up to 21 days. Cognitive impairment was induced by intraperitoneal injection of scopolamine (1 mg/kg, i.p.) to rats for 5 days (15th, 16th, 17th, 18th, and 19th). Learning and memory function in rats were appraised by using the Morris water maze. Subsequently, the content of oxidative-nitrosative stress parameters, the activity of acetylcholinesterase (AChE), electron transport chain complexes, brain-derived neurotrophic factor (BDNF), and pro-inflammatory cytokines mediators (TNF-α and IL-6) in hippocampus brain areas of rats were measured. Scopolamine treatment significantly produced learning and memory impairment, oxidative-nitrosative stress, cholinergic dysfunction, mitochondrial deficit, reduced BDNF, and increased TNF-α and IL-6 levels. Whereas, resveratrol and hesperidin combination therapy effectively improved brain anti-oxidant status, lowered brain mitochondrial impairments, and neuro-inflammation in rats as compared to mono-therapy. Our findings demonstrated that the resveratrol and hesperidin combination group showed excellent anti-cognitive impairment properties compared to single therapy. The combination therapy exhibited a favorable effect in suppressing scopolamine-induced cognitive impairment, either additively, synergistically, or through distinct molecular pathways.

Implementing early detection of cognitive impairment in primary care to improve care for older adults

Primary care is the ideal setting for early detection of mild cognitive impairment (MCI) and Alzheimer's disease and related dementias (ADRD), as it serves as the primary point of care for most older adults. With the growing aging population, reliance on specialists for detection and diagnosis is unsustainable, highlighting the need for primary care-led assessment. Recent research findings on successful brain health prevention strategies, AD diagnostic tools, and anti-amyloid treatments empower primary care to play a central role in early detection and intervention. Primary care-focused resources are being developed, including tools for cognitive assessments and materials designed to educate patients about brain health and initiate discussions on lifestyle modifications, thereby making early detection more feasible and efficient. Identifying risk factors early enables providers to implement interventions that can slow cognitive decline and improve outcomes for patients and caregivers. If left undetected and unmanaged, MCI and ADRD can lead to worse outcomes, including increased falls, hospitalizations, financial vulnerability, and caregiver stress. Early detection enables the identification of reversible causes of cognitive impairment, supports the management of comorbidities worsened by cognitive decline, mitigates safety risks, and can preserve quality of life. Importantly, primary care is essential for addressing ADRD-related health disparities that disproportionately affect racial minorities, rural populations, and those of lower socioeconomic status. With a focus on the United States healthcare system, this perspective addresses how implementing early detection practices into primary care can improve outcomes for patients and caregivers, reduce societal burdens, and promote health equity in ADRD care.

Effect of ashwagandha (Withania somnifera) extract with Sominone (Somin-On™) to improve memory in adults with mild cognitive impairment: A randomized, double-blind, placebo-controlled study

BACKGROUND

Mild cognitive impairment (MCI) is a condition in which people have memory or thinking problems than other people of their age. This study evaluated the effectiveness and safety of ashwagandha extract standardized with Sominone (Somin-On™) in enhancing memory and cognitive functioning in adults with MCI.

METHODS

In this randomized double-blind, placebo-controlled pilot study, 40 subjects with MCI were randomized in a 1:1 ratio to receive either Somin-On™ (250 mg daily) or a placebo for 60 days. The outcome measures, improvement in memory and other cognitive functions after 30 and 60 days were assessed using Montreal Cognitive Assessment (MoCA); Mini-mental state examination (MMSE); Wechsler Memory Scale-III (WMS-III)); and Shepard mental rotation task.

RESULTS

Subjects treated with Somin-On™ showed significant improvements in immediate memory, general memory, working memory and visuospatial processing and the response assessed using WMS-III after 30 and 60 days outperforming the placebo group. Scores on the Shepard Mental Rotation test in Somin-On™ group showed a significant rise by 12.22% at 30 days and 31.67% at 60 days, from baseline. Significant improvement was observed with Somin-On™ in memory assessment scales viz. MoCA (7.83% at 30 days and 14.77% at 60 days, from baseline) and MMSE (9.26% at 30 days and 19.21% at 60 days, from baseline) compared to placebo group.

CONCLUSIONS

The supplementation of Somin-On™ is an effective therapy to improve the immediate, general and working memory, as well as cognitive functions like attention and information processing speed in adults with MCI.

Implementation of intervention programs specifically tailored for patients with cognitive impairment as comorbidity in early rehabilitation during acute hospitalization: An umbrella and scoping review

INTRODUCTION

Cognitive impairment (CI) is common among older hospitalized patients, posing risks for adverse events. However, the extent to which early rehabilitation interventions address CI needs is unclear. This umbrella and scoping review evaluates CI consideration in such interventions during acute hospitalization.

MATERIAL AND METHODS

Systematic reviews on early rehabilitation interventions for older patients were screened. Inclusion criteria encompassed CI mention in titles/objectives, patient assessment/description, inclusion of CI patients, (sub-) analyses by cognitive status, and tailored interventions.

RESULTS

Of 199 studies, only 3% addressed CI in titles/objectives, 68% assessed cognitive status, and 42% lacked CI patient information. Only 4% targeted CI patients, 55% included mixed populations. In 12% of studies, CI patient results were reported, 8% adjusted analyses for CI. Only 5% tailored interventions for CI.

DISCUSSION

Despite high prevalence, CI patients are largely overlooked in early rehabilitation. Future studies should consider CI in assessment, description, analysis, and intervention design.

PENSIEVE-AI a brief cognitive test to detect cognitive impairment across diverse literacy

Undiagnosed cognitive impairment is a pervasive global issue, often due to subtle nature of early symptoms, necessitating the use of brief cognitive tests for early detection. However, most brief tests are not scalable (requiring trained professionals), and are not designed for lower literacy groups (e.g. in underserved communities). Here, we developed PENSIEVE-AITM, a drawing-based digital test that is less dependent on literacy, and can be self-administered in <5 min. In a prospective study involving 1758 community-dwelling individuals aged 65 and older from Singapore (education range = 0-23 years), our deep-learning model showed excellent performance in detecting clinically-adjudicated mild cognitive impairment and dementia (AUC = 93%), comparable to traditional neuropsychological assessments (AUC = 94%, Pcomparison = 1.000). Results were consistent even across education subgroups. Being less dependent on literacy, PENSIEVE-AI holds promise for broader deployment in literacy-diverse populations similar to Singapore (e.g. some Asian and lower- and middle-income countries), potentially improving early detection and intervention of cognitive impairment.

Tangeretin offers neuroprotection against colchicine-induced memory impairment in Wistar rats by modulating the antioxidant milieu, inflammatory mediators and oxidative stress in the brain tissue

BACKGROUND

Tangeretin, a flavone compound (O-polymethoxylated) naturally present in tangerine and other citrus peels has demonstrated effectiveness as an anti-inflammatory and neuroprotective agent in several disease model. This study evaluated the impact of tangeretin in mitigating cognitive dysfunction and oxidative stress induced by colchicine in rats, comparing its efficacy with donepezil hydrochloride.

METHODS

Cognitive dysfunction was induced by administering colchicine (15 µg/rat) intracerebroventricularly (ICV) via a stereotaxic apparatus in male Wistar rats. Colchicine resulted in poor memory retention in acquiring and retaining a spatial navigation task, passive avoidance apparatus, and Morris water maze paradigms. Chronic treatment with tangeretin (at doses of 50, 100, and 200 mg/kg, p.o. once daily) and donepezil hydrochloride (at a dose of 10 mg/kg, p.o. daily) for 28 days, starting seven days before colchicine injection, significantly ameliorated colchicine-induced cognitive impairment.

RESULTS

The biochemical analysis showed that chronic administration of tangeretin effectively reversed the colchicine-induced increase in the level/activity of lipid peroxidation, hydrogen peroxide (H2O2), myeloperoxidase (MPO), nitrite, reactive oxygen species (ROS), tumour necrosis factor-α (TNF-α), nuclear factor kappa B (NF-κB), interleukin-1β (IL-1β), interleukin-6 (IL-6), interleukin-10 (IL-10), serotonin, dopamine, glutamate, amyloid beta (Aβ) peptide, and caspase-3. Tangeretin also reversed the colchicine-induced reduction in the level/activity of brain-derived neurotrophic factor (BDNF), amma-aminobutyric acid (GABA), acetylcholinesterase (AChE), glutathione S-Transferase (GST), glutathione peroxidase (GPx), glutathione reductase (GR), catalase (CAT), superoxide dismutase (SOD), reduced glutathione (GSH), and total thiol (T-SH) in rat brains. However, donepezil hydrochloride did not prevent oxidative stress.

CONCLUSIONS

These findings suggest that chronic administration of tangeretin at 50, 100, and 200 mg/kg, p.o. once daily, was protective in mitigating colchicine-induced cognitive impairment and associated oxidative stress. At the same time, donepezil hydrochloride did not demonstrate similar effects.

Twelve weeks of exercise training improves cognitive status, physical performance and quality of life in Alzheimer's disease: A systematic review and meta-analysis

Alzheimer's disease (AD) is a progressive neurodegenerative disorder in which there is slow and gradual impairment of mental function. Considering the increase in cases due to population aging, the potential benefits of physical training in AD are of great importance and need further elucidation. This study aims to identify the impact of physical training on crucial aspects of AD such as cognitive status, physical performances, quality of life and activities of daily living. The bibliographic research was conducted according to the guidelines outlined in PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis). After the selection process, 26 studies were included in the systematic review and meta-analysis. Physical training for up to 12 weeks had a moderate effect on the cognitive status (SMD: 0.34; 95 % CI: 0.07-0.61; p = 0.016), the physical performance (SMD: 0.75; 95 % CI: 0.43-1.06; p = 0.000) and the quality of life (SMD: 0.40; 95 % CI: 0.17-0.63; p = 0.567) of patients with AD, but did not affect their daily living activities (SMD: -0.10; 95 % CI: -0.31-0.12; p = 0.621). Physical training lasting from 16 to 24 weeks had a moderate effect only on the physical performance (SMD: 0.51; 95 % CI: 0.23-0.79; p = 0.000) of patients. Physical training for up to 12 weeks already leads to gains on the cognition, the physical performance and the quality of life of individuals with AD. Beyond the available evidence on health promotion resulting from physical training, guidelines should be established to define ideal training loads for patients with AD. Specific practical recommendations concerning the types, frequency, intensity or duration of physical exercise that may be the most efficient for ameliorating cognition, physical performance and quality of life of individuals with AD are still unclear.

Barriers to self-management engagement among community-dwelling older adults with mild cognitive impairment: a qualitative study

Introduction

Self-management is crucial for individuals with mild cognitive impairment (MCI) to enhance cognitive health and mitigate the potential risk of dementia. However, maintaining consistent engagement in self-management strategies seems a challenge for older adults with MCI. This study sought to gain insights into the barriers to self-management engagement among community-dwelling older adults with MCI.

Methods

This qualitative study used a phenomenological approach. Purposive sampling was used to recruit a diverse group of participants with MCI, aged 60 and above, residing in the provinces of Hubei, Jiangsu, Henan, and Anhui in China. Semi-structured interviews were conducted between January and May 2023, allowing for an in-depth exploration of participants' experiences and perceptions. The interviews were audio-recorded, transcribed verbatim, and subjected to thematic analysis to capture the essence of the participants' narratives.

Results

Twenty-six participants participated in the formal semi-structured interviews. The following themes and subthemes were identified: "inappropriate perceptions of MCI" ("low perception of risk from MCI" and "supposition of little personal control over MCI"), "elder self-neglect", and "lack of available information or support services about MCI".

Discussion

This study highlights significant barriers to self-management engagement among community-dwelling older adults with MCI, emphasizing the importance of developing tailored interventions that address misconceptions and self-neglect and enhance the availability of information and support services. These findings suggest avenues for policymakers and healthcare providers to foster more effective self-management practices in this population, promoting cognitive health and slowing potential progression to dementia.

Structural dimensions of physical function and their associations with working memory in adults aged 60-74 years

The association between physical function and working memory in older adults is moderated by structural dimensions of physical function, but it is unclear which structural dimensions of physical function are associated with working memory in healthy older adults. The purpose of this study was to construct the structural dimensions of physical function and assess their associations with working memory in adults aged 60-74 years to provide potential targets for earlier identification and interventions of physical function and working memory decline in older adults. To this end, data from 664 to 589 eligible older adults were used for factor analysis and structural equation modeling, respectively. A constructed structural model of three factors of physical function had good reliability and validity. The structural dimensions of physical function in adults aged 60-74 years were mobility and dynamic balance, muscular strength and cardiorespiratory endurance. Physical function in older adults was closely associated with working memory, with mobility and dynamic balance-but not muscular strength and cardiorespiratory endurance- closely associated with working memory.

Dementia Specialty Care Clinicians' Perspectives on Their Role in the Dementia Diagnostic Process and Diagnostic Disclosure

BACKGROUND

Delivering a diagnosis of Alzheimer's disease and related dementias (ADRD) can be challenging not just for patients and families, but also for clinicians. Our objective was to understand dementia specialty care clinicians' perspectives on their role in diagnosis and diagnostic disclosure in dementia.

METHODS

Qualitative interviews with clinicians from a specialty tertiary dementia care center focused on practices, challenges, and opportunities addressing patient and caregiver needs in dementia. Data was analyzed by an interdisciplinary team using thematic analysis.

RESULTS

The 16 participants included behavioral neurologists, social workers, neuropsychologists, and nurses. Themes included the value of providing an accurate diagnosis, the timing and challenges of delivering a diagnosis, the central focus on diagnosis alongside the need for more education on care management, and the role of the interdisciplinary team.

DISCUSSION

We identified areas for improvement and strengths that can be built upon or adapted to other settings, including providing clinicians in specialty and primary care settings more guidance and support when diagnostic challenges arise, strengthening interdisciplinary teamwork, and making dementia diagnosis and care more accessible.

Beyond Individual Responsibilisation: How Social Relations are Mobilised in Communication About a Dementia Self-Testing App

Research on mobile health (mHealth) applications has investigated how such technologies contribute to a responsibilisation of users/patients. This literature largely focuses on the individual responsibilities constructed by the apps and the neoliberal environments that enable the positioning of the user as responsible. With this focus, this scholarship is less attentive to the role of social relations in responsibilisation. In this article, I demonstrate how relational responsibilities are constructed in the communication of a North American self-testing app for "early changes in cognition". Through an analysis of qualitative expert interviews and images on the app's web presence, I show how social relations are, in fact, mobilised in the construction of the responsibilities to support the user in the test situation, to take the test for the sake of others, and to make others take the test. Based on this analysis, I argue that the role of social relations should receive more attention in the literature on responsibilisation, because they lead to additional, sometimes gendered responsibilities that a focus on individual responsibilities would miss.

Inferring neurocognition using artificial intelligence on brain MRIs

Brain magnetic resonance imaging (MRI) offers a unique lens to study neuroanatomic support of human neurocognition. A core mystery is the MRI explanation of individual differences in neurocognition and its manifestation in intelligence. The past four decades have seen great advancement in studying this century-long mystery, but the sample size and population-level studies limit the explanation at the individual level. The recent rise of big data and artificial intelligence offers novel opportunities. Yet, data sources, harmonization, study design, and interpretation must be carefully considered. This review aims to summarize past work, discuss rising opportunities and challenges, and facilitate further investigations on artificial intelligence inferring human neurocognition.

Improving Early Detection of Cognitive Impairment in Older Adults in Primary Care Clinics: Recommendations From an Interdisciplinary Geriatrics Summit

As the population ages, the prevalence of cognitive impairment due to neurodegenerative diseases such as Alzheimer disease (AD) is expected to double in the United States to nearly 14 million over the next 40 years. AD and related dementias (ADRD) are a leading cause of morbidity and mortality and among the costliest to society. Although emerging biomedical interventions for ADRD focus on early stages and are currently limited to AD, care management can benefit patients with ADRD across the disease course. Moreover, some causes of cognitive impairment are modifiable, and optimal overall management may slow or prevent additional decline. Nevertheless, a sizable proportion of cases of cognitive impairment among older adults remain undiagnosed. Primary care practitioners are often the first health care professionals to encounter cognitive concerns or to be able to observe changes in function resulting from cognitive impairment; hence, they have much to contribute to population health solutions for detecting cognitive impairment among older adults. In this report, we present key points and gaps in knowledge about methods for detecting cognitive impairment in primary care clinics. These were developed via an interdisciplinary Geriatrics Summit hosted by the National Academy of Neuropsychology in 2022, attended by representatives of national organizations engaged in work to improve care of older adults. We propose a novel workflow to facilitate detecting cognitive impairment during routine primary care, focusing on opportunities provided by the annual wellness visit, a preventive visit available to Medicare beneficiaries, along with additional recommendations and opportunities for clinical practice and research.

The dynamic and reciprocal relationship between perceived everyday discrimination and cognitive function in later life

OBJECTIVES

This study, based on socioemotional selectivity theory and cognitive theory, investigates the dynamic and reciprocal relationship between perceived discrimination and cognitive function in later life.

METHODS

Data were drawn from four waves of the Health and Retirement Study (HRS 2006, 2010, 2014, and 2018). A total of 4,125 people who were 51 and older were included. Cognitive function was measured by the telephone interview for cognitive status (TICS-27). Perceived discrimination was measured using scores of the perceived everyday discrimination scale. Random intercept cross-lagged panel model (RI-CLPM) was utilized. The model was adjusted for a range of covariates. Subgroup analysis by ethnoracial groups was conducted.

RESULTS

Cross-sectionally, while lower cognitive function was associated with higher perceived discrimination, this relationship was unidirectional. Longitudinally, higher perceived discrimination predicted lower cognitive function in later waves only among non-Hispanic White individuals.

CONCLUSION

Results suggested that a decline in cognitive function may precede and contribute to the worsening of perceived discrimination, which may result in further decline in cognitive function. Lifetime experience of discrimination was discussed as a possible source of the racial/ethnic variations in the relationship. Further study is needed to examine whether this relationship holds among people with cognitive impairment and dementia.

Blood-derived microRNAs are related to cognitive domains in the general population

INTRODUCTION

Blood-derived microRNAs (miRNAs) are potential candidates for detecting and preventing subclinical cognitive dysfunction. However, replication of previous findings and identification of novel miRNAs associated with cognitive domains, including their relation to brain structure and the pathways they regulate, are still lacking.

METHODS

We examined blood-derived miRNAs and miRNA co-expression clusters in relation to cognitive domains, structural magnetic resonance imaging measures, target gene expression, and genetic variants in 2869 participants of a population-based cohort.

RESULTS

Five previously identified and 14 novel miRNAs were associated with cognitive domains. Eleven of these were also associated with cortical thickness and two with hippocampal volume. Multi-omics analysis showed that certain identified miRNAs were genetically influenced and regulated genes in pathways like neurogenesis and synapse assembly.

DISCUSSION

We identified miRNAs associated with cognitive domains, brain regions, and neuronal processes affected by aging and neurodegeneration, making them promising candidate blood-based biomarkers or therapeutic targets of subclinical cognitive dysfunction.

HIGHLIGHTS

We investigated the association of blood-derived microRNAs with cognitive domains. Five previously identified and 14 novel microRNAs were associated with cognition. Eleven cognition-related microRNAs were also associated with cortical thickness. Identified microRNAs were linked to genes associated with neuronal functions. Results provide putative biomarkers or therapeutic targets of cognitive aging.

Clinical utility of the Saint Louis University Mental Status Examination (SLUMS) in a mixed neurological sample: Proposed revised cutoff scores for normal cognition, mild cognitive impairment, and dementia

Early detection of cognitive impairment is of paramount importance in clinical settings, with several brief screening tools having been developed for that purpose. The present study sought to evaluate the clinical utility of the Saint Louis University Mental Status examination (SLUMS) at identifying examinees with normal cognition, mild cognitive impairment, or dementia syndrome using the criterion of a comprehensive neuropsychological assessment. Two hundred sixty-three examinees (M age = 67.84 ± 12.72; 59.3% female; 81.4% white) were referred for comprehensive neuropsychological evaluation at a private, Mid-Atlantic medical center. Using original cutoff scores, the SLUMS correctly classified just over half (55.1%) of examinees. Classification statistics suggested modified cutoff scores for mild cognitive impairment (≤24) and dementia (≤17) with strong discriminability between cognitive status groups (AUCs ranged from .834 to .986). These proposed revised cutoff scores improved overall concordance between SLUMS and diagnostic conclusions from comprehensive clinical neuropsychological testing, correctly classifying nearly two-thirds of examinees (65.4%). The SLUMS and its revised cutoff scores appear to have clinical utility for cognitive screening in primary care and neurological settings to inform treatment plans and appropriate referrals for comprehensive neuropsychological assessment.

The Effect of Mindfulness-Based Interventions on Mental Health and Cognitive Function in Older Adults: A Systematic Review and Meta-Analysis

OBJECTIVES

To assess whether mindfulness-based interventions (MBIs) affect mental health and cognitive abilities in older adults.

METHODS

A systematic search was performed in PubMed, SCOPUS, Web of Science, and Google Scholar up to June 2023. Weight mean difference and 95% confidence intervals were provided as summary statistics.

RESULTS

In total, 26 articles were eligible. Overall, MBIs showed a statistically significant improvement in depression, anxiety, quality of life, and working memory compared to controls. However, no significant effects of MBIs on other cognitive parameters were found. In moderator analysis, less than eight weeks of MBIs showed greater improvement in anxiety and quality of life than longer periods. There was no evidence for publication bias.

DISCUSSION

Mindfulness-based interventions can be an encouraging alternative in place of conventional treatments in improving depression, anxiety, quality of life and working memory in cognition among older adults. However, findings strongly recommend future research to have definite conclusion.

Active and Passive Smoking as Catalysts for Cognitive Impairment in Rural Indonesia: A Population-based Study

Objectives

Research indicates that active smokers are at risk of cognitive impairment. However, the correlation between chronic passive smoking and the risk of cognitive impairment remains underexplored. This study aimed to determine the association between smoking, passive smoking, and cognitive impairment and examined the dose-response effect.

Methods

This population-based two-year survey was conducted in four rural public health centers from 2021 to 2023 in Central Java, Indonesia, each center caters to approximately 30 000 people. The participants were selected using simple random sampling from the health center visitors aged 30-60 years. Smoking and passive smoking were determined by self-assessment. Mini-Mental State Examination was used to evaluate cognitive impairment. The potential impact of confounding variables such as lifestyle, sociodemographic factors, and chronic diseases were considered and excluded during statistical analysis.

Results

The participants were 409 individuals aged 30-60 years. The majority were men (264; 64.5%). Among them, 308 (75.3%) were active smokers, 271 (66.3%) were passive smokers, and 138 (33.7%) were not exposed to tobacco smoke. There was a significant relationship between cognitive impairment and increasing pack years of active smoking. The highest and most significant risk was observed in those who smoked ≥ 20 pack-years with an adjusted odds ratio (aOR) of 1.61 and 95% CI: 0.98-2.31. Passive smokers had a slightly lower risk of cognitive impairment than those who did not smoke and never smoked (aOR = 2.01; 95% CI: 1.37-2.70). They were comparable with OR of 10-19 pack-years total exposure to active smoking (aOR = 1.86; 95% CI: 1.24-2.42).

Conclusions

There was a dose-response relationship between smoking and cognitive impairment with a significant effect on ≥ 20 pack-years of exposure. Passive smoking also indicated a significant risk of cognitive impairment equivalent to an estimated 10-19 pack-years of active smoking.

Self-administered gerocognitive examination (SAGE) aids early detection of cognitive impairment at primary care provider visits

Introduction

Current estimates indicate that up to 50-75% of dementia cases are undiagnosed at an early stage when treatments are most effective. Conducting robust accurate cognitive assessments can be time-consuming for providers and difficult to incorporate into a time-limited Primary Care Provider (PCP) visit. We wanted to compare PCP visits with and without using the self-administered SAGE to determine differences in identification rates of new cognitive disorders.

Methods

Three hundred patients aged 65-89 without diagnosed cognitive disorders completing a non-acute office visit were enrolled (ClinicalTrials.gov identifier: NCT04063371). Two PCP offices conducted routine visits for 100 consecutive eligible patients each. One office used the SAGE in an additional 100 subjects and asked available informants about cognitive changes over the previous year. Chart reviews were conducted 60 days later. One-way analysis of variance and Fisher exact tests were used to compare the groups and outcomes.

Results

When SAGE was utilized, the PCP documented the detection of new cognitive conditions/concerns six times (9% versus 1.5%) as often (p = 0.003). The detection rate was nearly 4-fold for those with cognitively impaired SAGE scores (p = 0.034). Patients having impaired SAGE score and informant concerns were 15-fold as likely to have new cognitive conditions/concerns documented (p = 0.0007). Among providers using SAGE, 86% would recommend SAGE to colleagues.

Discussion

SAGE was easily incorporated into PCP visits and significantly increased identification of new cognitive conditions/concerns leading to new diagnoses, treatment, or management changes. The detection rate increased 15-fold for those with impaired SAGE scores combined with informant reports.

Neuropsychological Assessment for Early Detection and Diagnosis of Dementia: Current Knowledge and New Insights

Dementia remains an underdiagnosed syndrome, and there is a need to improve the early detection of cognitive decline. This narrative review examines the role of neuropsychological assessment in the characterization of cognitive changes associated with dementia syndrome at different states. The first section describes the early indicators of cognitive decline and the major barriers to their identification. Further, the optimal cognitive screening conditions and the most widely accepted tests are described. The second section analyzes the main differences in cognitive performance between Alzheimer's disease and other subtypes of dementia. Finally, the current challenges of neuropsychological assessment in aging/dementia and future approaches are discussed. Essentially, we find that current research is beginning to uncover early cognitive changes that precede dementia, while continuing to improve and refine the differential diagnosis of neurodegenerative disorders that cause dementia. However, neuropsychology faces several barriers, including the cultural diversity of the populations, a limited implementation in public health systems, and the adaptation to technological advances. Nowadays, neuropsychological assessment plays a fundamental role in characterizing cognitive decline in the different stages of dementia, but more efforts are needed to develop harmonized procedures that facilitate its use in different clinical contexts and research protocols.

Clinical utility of plasma Aβ42/40 ratio by LC-MS/MS in Alzheimer's disease assessment

Introduction

Plasma Aβ42/40 ratio can help predict amyloid PET status, but its clinical utility in Alzheimer's disease (AD) assessment is unclear.

Methods

Aβ42/40 ratio was measured by LC-MS/MS for 250 specimens with associated amyloid PET imaging, diagnosis, and demographic data, and for 6,192 consecutive clinical specimens submitted for Aβ42/40 testing.

Results

High diagnostic sensitivity and negative predictive value (NPV) for Aβ-PET positivity were observed, consistent with the clinical performance of other plasma LC-MS/MS assays, but with greater separation between Aβ42/40 values for individuals with positive vs. negative Aβ-PET results. Assuming a moderate prevalence of Aβ-PET positivity, a cutpoint was identified with 99% NPV, which could help predict that AD is likely not the cause of patients' cognitive impairment and help reduce PET evaluation by about 40%.

Conclusion

High-throughput plasma Aβ42/40 LC-MS/MS assays can help identify patients with low likelihood of AD pathology, which can reduce PET evaluations, allowing for cost savings.

Behavioral Impairments and Increased Risk of Cortical Atrophy Risk Scores Among World Trade Center Responders

Objective: World Trade Center (WTC) responders are susceptible to both cognitive and neuropsychiatric impairments, particularly chronic posttraumatic stress disorder. The present study examined self-reported behavioral impairments in a sample of 732 WTC responders, 199 of whom were determined to have high risk of WTC-related cortical atrophy by an artificial neural network. Results: We found that responders at increased risk of cortical atrophy showed behavioral impairment across five domains: motivation, mood, disinhibition, empathy, and psychosis (14.6% vs 3.9% in the low-risk group; P = 3.90 × 10-7). Factor analysis models revealed that responders at high risk of cortical atrophy tended to have deficits generalized across all aspects of behavioral impairment with focal dysfunction in sensory psychosis. We additionally describe how relationships are modulated by exposure severity and pharmacological treatments. Discussion: Our findings suggest a potential link between sensory deficits and the development of cortical atrophy in WTC responders and may indicate symptoms consistent with a clinical portrait of parietal dominant Alzheimer's disease or a related dementia (ADRD). Results underscore the importance of investigating neuropsychiatric symptomatology in clinical evaluations of possible ADRD.

An Exploratory Pilot Study of Neuropsychological Performance in Two Huntington Disease Centers of Excellence Clinics

OBJECTIVES

To describe the characteristics of patients receiving a clinical referral for neuropsychological evaluation in two Huntington's Disease Society of America Centers of Excellence (HDSA COE). In this exploratory pilot study, we used an empirically supported clinical neuropsychological battery to assess differences in cognitive performance between premanifest and manifest HD patient groups (compared with each other and normative expectations).

METHOD

Clinical data from 76 adult genetically confirmed patients referred for neuropsychological evaluations was retrospectively collected from two HDSA COEs. ANOVA and Chi-square tests were used to compare variables between pre-manifest (n = 14) and manifest (n = 62) groups for demographic, cognitive, neuropsychiatric, and disease severity variables.

RESULTS

Our clinics serviced a disproportionate number of motor manifest patients. Six measures were excluded from analyses due to infrequent administration. The full WAIS-IV Digit Span was disproportionately administered to the manifest group. The premanifest group showed stronger cognitive performance with effect sizes in the large range on subtests of the WAIS-IV Digit Span, HVLT-R, SDMT, and verbal fluency.

CONCLUSIONS

This is the first study to assess an empirically supported neuropsychological research battery in a clinical setting with a relatively large sample size given the rarity of HD. The battery adequately captured areas of impairment across the disease spectrum. Application of the current battery with larger premanifest samples is warranted.

Brain Health and Cognition in Older Adults: Roadmap and Milestones towards the Implementation of Preventive Strategies

In this narrative review, we delve into the evolving concept of brain health, as recognized by the WHO, focusing on its intersection with cognitive decline. We emphasize the imperative need for preventive strategies, particularly in older adults. We describe the target population that might benefit the most from risk-based approaches-namely, people with subjective cognitive decline. Additionally, we consider universal prevention in cognitively unimpaired middle-aged and older adults. Delving into multidomain personalized preventive strategies, we report on empirical evidence surrounding modifiable risk factors and interventions crucial in mitigating cognitive decline. Next, we highlight the emergence of brain health services (BHS). We explain their proposed role in risk assessment, risk communication, and tailored interventions to reduce the risk of dementia. Commenting on ongoing BHS pilot experiences, we present the inception and framework of our own BHS in Monza, Italy, outlining its operational structure and care pathways. We emphasize the need for global collaboration and intensified research efforts to address the intricate determinants of brain health and their potential impact on healthcare systems worldwide.

The effect of bipolar bihemispheric tDCS on executive function and working memory abilities

Introduction

Cognitive functioning is central to the ability to learn, problem solve, remember, and use information in a rapid and accurate manner and cognitive abilities are fundamental for communication, autonomy, and quality of life. Transcranial electric stimulation (tES) is a very promising tool shown to improve various motor and cognitive functions. When applied as a direct current stimulus (transcranial direct current stimulation; tDCS) over the dorsolateral pre-frontal cortex (DLPFC), this form of neurostimulation has mixed results regarding its ability to slow cognitive deterioration and potentially enhance cognitive functioning, requiring further investigation. This study set out to comprehensively investigate the effect that anodal and cathodal bipolar bihemispheric tDCS have on executive function and working memory abilities.

Methods

72 healthy young adults were recruited, and each participant was randomly allocated to either a control group (CON), a placebo group (SHAM) or one of two neurostimulation groups (Anodal; A-STIM and Cathodal; C-STIM). All participants undertook cognitive tests (Stroop & N Back) before and after a 30-minute stimulation/ sham/ control protocol.

Results

Overall, our results add further evidence that tDCS may not be as efficacious for enhancing cognitive functioning as it has been shown to be for enhancing motor learning when applied over M1. We also provide evidence that the effect of neurostimulation on cognitive functioning may be moderated by sex, with males demonstrating a benefit from both anodal and cathodal stimulation when considering performance on simple attention trial types within the Stroop task.

Discussion

Considering this finding, we propose a new avenue for tDCS research, that the potential that sex may moderate the efficacy of neurostimulation on cognitive functioning.

Navigating the Alzheimer's Treatment Landscape: Unraveling Amyloid-beta Complexities and Pioneering Precision Medicine Approaches

A variety of cutting-edge methods and good knowledge of the illness's complex causes are causing a sea change in the field of Alzheimer's Disease (A.D.) research and treatment. Precision medicine is at the vanguard of this change, where individualized treatment plans based on genetic and biomarker profiles give a ray of hope for customized therapeutics. Combination therapies are becoming increasingly popular as a way to address the multifaceted pathology of Alzheimer's by simultaneously attacking Aβ plaques, tau tangles, neuroinflammation, and other factors. The article covers several therapeutic design efforts, including BACE inhibitors, gamma- secretase modulators, monoclonal antibodies (e.g., Aducanumab and Lecanemab), and anti- Aβ vaccinations. While these techniques appear promising, clinical development faces safety concerns and uneven efficacy. To address the complicated Aβ pathology in Alzheimer's disease, a multimodal approach is necessary. The statement emphasizes the continued importance of clinical trials in addressing safety and efficacy concerns. Looking ahead, it suggests that future treatments may take into account genetic and biomarker traits in order to provide more personalized care. Therapies targeting Aβ, tau tangles, neuroinflammation, and novel drug delivery modalities are planned. Nanoparticles and gene therapies are only two examples of novel drug delivery methods that have the potential to deliver treatments more effectively, with fewer side effects, and with better therapeutic results. In addition, medicines that target tau proteins in addition to Aβ are in the works. Early intervention, based on precise biomarkers, is a linchpin of Alzheimer's care, emphasizing the critical need for detecting the disease at its earliest stages. Lifestyle interventions, encompassing diet, exercise, cognitive training, and social engagement, are emerging as key components in the fight against cognitive decline. Data analytics and art are gaining prominence as strategies to mitigate the brain's inflammatory responses. To pool knowledge and resources in the fight against Alzheimer's, international cooperation between scientists, doctors, and pharmaceutical companies is still essential. In essence, a complex, individualized, and collaborative strategy will characterize Alzheimer's research and therapy in the future. Despite obstacles, these encouraging possibilities show the ongoing commitment of the scientific and medical communities to combat A.D. head-on, providing a glimmer of hope to the countless people and families touched by this savage sickness.

Relationship Between Cognitive Impairment and Depression Among Middle Aged and Older Adults in Primary Care

Objectives: To determine rates of previously undetected cognitive impairment among patients with depression in primary care. Methods: Patients ages 55 and older with no documented history of dementia or mild cognitive impairment were recruited from primary care practices in New York City, NY and Chicago, IL (n = 855). Cognitive function was assessed with the Montreal Cognitive Assessment (MoCA) and depression with the Patient Health Questionnaire-8. Results: The mean age was 66.8 (8.0) years, 45.3% were male, 32.7% Black, and 29.2% Latinx. Cognitive impairment increased with severity of depression: 22.9% in persons with mild depression, 27.4% in moderate depression and 41.8% in severe depression (p = .0002). Severe depression was significantly associated with cognitive impairment in multivariable analysis (standardized β = -.11, SE = 0.33, p < .0001). Discussion: Depression was strongly associated with previously undetected cognitive impairment. Primary care clinicians should consider screening, or expand their screening, for both conditions.

Clinical utility of plasma Aβ42/40 ratio by LC-MS/MS in Alzheimer's disease assessment

INTRODUCTION

Plasma Aβ42/40 ratio can be used to help predict amyloid PET status, but its clinical utility in Alzheimer's disease (AD) assessment is unclear.

METHODS

Aβ42/40 ratio was measured by LC-MS/MS in 250 specimens with associated amyloid PET imaging, diagnosis, and demographic data, and 6,192 consecutive clinical specimens submitted for Aβ42/40 testing.

RESULTS

High diagnostic sensitivity and negative predictive value (NPV) for Aβ-PET positivity were observed, consistent with the clinical performance of other plasma LC-MS/MS assays, but with greater separation between Aβ42/40 values for individuals with positive vs negative Aβ-PET results. Assuming a moderate prevalence of Aβ-PET positivity, a cutpoint was identified with 99% NPV, which could help predict that AD is likely not the cause of patients' cognitive impairment and help reduce PET evaluation by about 40%.

DISCUSSION

Using high-throughput plasma Aβ42/40 LC-MS/MS assays can help reduce PET evaluations in patients with low likelihood of AD pathology, allowing for cost savings.

Evaluation and targeting of amyloid precursor protein (APP)/amyloid beta (Aβ) axis in amyloidogenic and non-amyloidogenic pathways: A time outside the tunnel

In Alzheimer disease (AD), amyloid precursor protein (APP) and production of amyloid beta (Aβ) which is generated by amyloidogenic pathway is implicated in neurotoxicity and neuronal cell deaths. However, physiological Aβ level is essential to improves neuronal survival, attenuates neuronal apoptosis and has neuroprotective effect. In addition, physiological APP level has neurotrophic effect on the central nervous system (CNS). APP has a critical role in the brain growth and development via activation of long-term potentiation (LTP) and acceleration of neurite outgrowth. Moreover, APP is cleaved by α secretase to form a neuroprotective soluble APP alpha (sAPPα) in non-amyloidogenic pathway. Consequently, this mini-review purposes to highlight the possible beneficial role of APP and Aβ. In addition, this mini-review discussed the modulation of APP processing and Aβ production.

Cost-benefit and discriminant validity of a stepwise dementia case-finding approach in an Asian older adult community

Background

Case-finding is a recommended approach for dementia early detection in the community.

Aims

To investigate the discriminant validity and cost-effectiveness of a stepwise dementia case-finding approach in a Singaporean older adult community.

Methods

The two-phase study was conducted in the community from 2009 to 2015 in Singapore. A total of 3780 participants (age ≥60 years) completed phase I (a brief cognitive screening); 918 completed phase II and were included in the final analysis. In phase I, all participants were administered the Abbreviated Mental Test (AMT) and the Progressive Forgetfulness Question (PFQ). Those who screened positive on either test were invited to phase II, whereby the Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and a formal neuropsychological battery were administered, followed by the research diagnosis of no cognitive impairment, cognitive impairment no dementia (CIND)-Mild (≤2 impaired cognitive domains), CIND-Moderate (>2 impaired domains) or dementia. Receiver operating characteristic curve analyses were conducted for the different cognitive instruments. All discriminant indices were calculated, including sensitivity, specificity, positive and negative predictive values (NPV) and accuracy. Cost-effectiveness analysis was conducted by estimating the amount of screening time needed and the number of older adults requiring re-evaluation in two case-finding scenarios, ie, with or without preselection by the PFQ.

Results

The stepwise case-finding approach (preselection by the PFQ, then MMSE or MoCA or AMT) showed an excellent NPV (>99%) and accuracy (>86%) for excluding dementia-free cases. Without preselection by the PFQ, screening time for the three cognitive tools were 317.5, 317.5 and 254 hours, with 159, 302 and 175 screen-positive older adults involved in further evaluation. By adopting the stepwise case-finding approach, total screening time were 156.5, 156.5 and 126.2 hours, which decreased by 50.7%, 50.7% and 50.3% as compared with those without preselection. Furthermore, after preselection, only 98, 167 and 145 screen-positive older adults required further evaluation, corresponding to a reduction of 38.4%, 44.7% and 17.1% in the numbers compared with those without preselection.

Conclusions

A stepwise approach for dementia case-finding should be implemented in the community to minimise the time and resources needed for large-scale early detection of dementia.

Assessing cognitive decline in the aging brain: lessons from rodent and human studies

As life expectancy continues to increase worldwide, age-related dysfunction will largely impact our societies in the future. Aging is well established to promote the deterioration of cognitive function and is the primary risk factor for the development of prevalent neurological disorders. Even in the absence of dementia, age-related cognitive decline impacts specific types of memories and brain structures in humans and animal models. Despite this, preclinical and clinical studies that investigate age-related changes in brain physiology often use largely different methods, which hinders the translational potential of findings. This review seeks to integrate what is known about age-related changes in the brain with analogue cognitive tests used in humans and rodent studies, ranging from "pen and paper" tests to virtual-reality-based paradigms. Finally, we draw parallels between the behavior paradigms used in research compared to the enrollment into clinical trials that aim to study age-related cognitive decline.

Novel Screening Tool Using Non-linguistic Voice Features Derived from Simple Phrases to Detect Mild Cognitive Impairment and Dementia

Appropriate intervention and care in detecting cognitive impairment early are essential to effectively prevent the progression of cognitive deterioration. Diagnostic voice analysis is a noninvasive and inexpensive screening method that could be useful for detecting cognitive deterioration at earlier stages such as mild cognitive impairment. We aimed to distinguish between patients with dementia or mild cognitive impairment and healthy controls by using purely acoustic features (i.e., nonlinguistic features) extracted from two simple phrases. Voice was analyzed on 195 recordings from 150 patients (age, 45-95 years). We applied a machine learning algorithm (LightGBM; Microsoft, Redmond, WA, USA) to test whether the healthy control, mild cognitive impairment, and dementia groups could be accurately classified, based on acoustic features. Our algorithm performed well: area under the curve was 0.81 and accuracy, 66.7% for the 3-class classification. Thus, our vocal biomarker is useful for automated assistance in diagnosing early cognitive deterioration.

Rates of Undiagnosed Cognitive Impairment and Performance on the Montreal Cognitive Assessment Among Older Adults in Primary Care

BACKGROUND

The number of adults in the USA with cognitive impairment is increasing; however, few studies report prevalence rates of undiagnosed cognitive impairment among older adults in primary care.

OBJECTIVE

To determine the prevalence of undiagnosed cognitive impairment among adults ages 55 years and older in primary care settings and provide normative data for the Montreal Cognitive Assessment in this context.

DESIGN

Single interview, observational study.

PARTICIPANTS

English-speaking adults ages 55 years and older without diagnoses of cognitive impairment recruited from primary care practices in New York City, NY, and Chicago, IL (n = 872).

MAIN MEASURES

Montreal Cognitive Assessment (MoCA). Undiagnosed cognitive impairment was defined by age and education adjusted z-scores more than 1.0 and 1.5 standard deviations below published norms, corresponding to mild or moderate to severe cognitive impairment, respectively.

KEY RESULTS

The mean age was 66.8 (8.0) years, 44.7% were male, 32.9% were Black or African-American, and 29.1% were Latinx. Undiagnosed cognitive impairment was identified in 20.8% of subjects (mild impairment, 10.5%; moderate-severe impairment, 10.3%). Impairment at any level of severity was associated in bivariate analyses with several patient characteristics, most notably for race and ethnicity (White, non-Latinx, 6.9% vs. Black, non-Latinx, 26.8%, Latinx, 28.2%, other race, 21.9%; p < 0.0001), place of birth (US 17.5% vs. non-US 30.7%, p < 0.0001), depression (33.1% vs. no depression, 18.1%; p < 0.0001), and impairment in activities of daily living (≥ 1 ADL impairment, 34.0% vs. no ADL impairment, 18.2%; p < 0.0001).

CONCLUSIONS

Undiagnosed cognitive impairment is common among urban dwelling older adults attending primary care practices, and was associated with several patient characteristics, including non-White race and ethnicity and depression. Normative data for the MoCA from this study may serve as a useful resource for studies of similar patient populations.

Floor Maze Test is capable of differentiating spatial navigation between frail and pre-frail institutionalized older persons

Investigation of the association between physical frailty and cognitive performance through spatial navigation is important to enable the identification of individuals with cognitive impairment and physical comorbidity.

Objective

To analyze the association between spatial navigation and frailty in frail and pre-frail institutionalized older adults.

Methods

Forty older people of both sexes, aged 60 years or over, residing in four Brazilian Long-Term Care Facilities (LTCFs) participated in this study. The following tests were applied: Mini-Mental State Examination (MMSE), 2.44m Timed Up and Go, Floor Maze Test (FMT), and Fried's frailty criteria. For data analysis, the Mann-Whitney and independent t-tests were used to compare the groups (frail x pre-frail), principal component analysis was used to explore the main variables related to the data variance, and binary logistic regression to estimate associations.

Results

There was a significant difference in performance in the FMT immediate maze time (IMT) (p=0.02) and in the delayed maze time (DMT) (p=0.009) between the pre-frail and frail older adults. An association between FMT DMT performance and frailty was found, showing that older people with shorter times on the DMT (better performance) had approximately four times the chance of not being frail (odds ratio - OR=4.219, 95% confidence interval - 95%CI 1.084-16.426, p=0.038).

Conclusion

Frailty is associated with impaired spatial navigation ability in institutionalized older adults, regardless of gait speed performance.

Latent Subtype of Cognitive Frailty among Multimorbidity Older Adults and Their Association with Social Relationships

This study aimed to explore all the relevant subtypes of cognitive frailty among Japanese community-dwelling older adults with multimorbidity. Moreover, it examined the associations between these potential subtypes of cognitive frailty and social relationships. This study targeted relevant cross-sectional data regarding community-based older adults with multimorbidity. It employed a person-centered method to perform a latent class analysis and explore the subtypes of cognitive frailty among older adults. Moreover, a multinominal logistic regression analysis was employed to examine the association between potential subtypes of cognitive frailty and social relationships. Data for 396 participants (mean age, 75.8 [SD, 7.3] years; 51.3% females) were analyzed. Three cognitive frailty subtypes were subsequently revealed: the robust group (42.0%), the group with partial cognitive frailty (38.6%), and the group with cognitive frailty (19.4%). People with high levels of social relationships were more likely to be in the robust and the partial cognitive frailty groups. This study identified different subtypes of cognitive frailty among multimorbid older adults and highlighted the significance of social relationships. These findings could serve as a reference for conceptualizing cognitive frailty through the person-centered method. Promoting a high level of social relationships could be useful to prevent the cognitive frailty among older adults with multimorbidity.

The A-to-Z factors associated with cognitive impairment. Results of the DeCo study

Introduction

Cognitive impairment (CI) is known to be mediated by several risk and protective factors, many of which are potentially modifiable. Therefore, it is important to have up-to-date studies that address a standard assessment of psychosocial, clinical and lifestyle variables.

Materials and methods

We conducted a cross-sectional observational study, with a 24-month timeframe, to estimate the relationship between risk and protective factors associated with dementia, according to the A-to-Z Dementia Knowledge. Participants were considered at CI risk if they tested positive for at least one of three validated CI screening tests: The Memory Impairment Screening, Short Portable Mental State Questionnaire, and Semantic Verbal Fluency. The A-to-Z data Collection included Mediterranean Diet Adherence Screener and Geriatric Depression Scale.

Results

The estimated prevalence of CI was 22.6% in a sample of 709 patients with an average of 69.3±10.3 years. The risk factors gradually associated with cognitive decline were hypertension, loneliness, and depression. In contrast, the protective factors gradually associated with less cognitive decline were internet use, reading, and intellectually stimulating jobs. Finally, living alone, having diabetes, taking benzodiazepines, and sleeping more than 9 h were statistically significant associated with CI, whereas to do memory training or a family history of dementia was characteristic of patients without CI.

Conclusion

A joint assessment of the influence of psychosocial, clinical, and lifestyle-related factors is needed to develop dementia prevention strategies.

Enhancing Cognition in Older Adults with Mild Cognitive Impairment through High-Intensity Functional Training: A Single-Blind Randomized Controlled Trial

Physical exercise is a very promising non-pharmacological approach to prevent or reduce the cognitive decline that occurs in people aged 60 years or older. The objective of this study was to determine the effect of a high-intensity intervallic functional training (HIFT) program on cognitive functions in an elderly Colombian population with mild cognitive impairment. A controlled clinical trial was developed with a sample of 132 men and women aged >65 years, linked to geriatric care institutions, which were systematically blind randomized. The intervention group (IG) received a 3-month HIFT program (n = 64) and the control group (CG) (n = 68) received general physical activity recommendations and practiced manual activities. The outcome variables addressed cognition (MoCA), attention (TMTA), executive functions (TMTB), verbal fluency (VFAT test), processing speed (Digit Symbol Substitution Test-DSST), selective attention and concentration (d2 test). After the analysis, improvement was found in the IG with significant differences with respect to the CG in the level of cognitive impairment (MoCA), attention (TMTA), verbal fluency and concentration (p < 0.001). Executive functions (TMTB) showed differences in both groups, being slightly higher in the IG (p = 0.037). However, no statistically significant results were found for selective attention (p = 0.55) or processing speed (p = 0.24). The multiple analysis of covariance (MANCOVA) showed the influence of the education level on all cognition assessments (p = 0.026); when adjusting for sociodemographic variables, the influence of the intervention remained significant (p < 0.001). This study empirically validates that the implementation of a HIFT program has a positive effect on cognitive functions in elderly people with mild cognitive impairment. Therefore, professionals specialized in the care of this population could consider including functional training programs as an essential part of their therapeutic approaches. The distinctive features of this program, such as its emphasis on functional training and high intensity, appear to be relevant for stimulating cognitive health in the geriatric population.

Effects of exercise on cognitive functioning in adults with serious mental illness: A meta analytic review

Cognitive performance is usually impaired in those with serious mental illness (SMI). Exercise may improve cognitive functioning, but studies examining the effects of exercise in SMI indicate heterogenous findings. To estimate the effects of exercise on cognitive outcomes in people with SMI. Randomized controlled trials evaluating the acute or chronic effects of exercise on cognitive functioning in SMI were searched from inception to December 26th, 2022 on major electronic databases. Random effect meta-analyses were conducted to assess the effects of exercise on over the cognitive domains and Standardized Mean Differences (SMD) and 95% confidence intervals (CIs) were used as the effect size measure. Funnel plots and Egger's test of effect size and the Trim and Fill procedure applied if evidence of publication bias was noted. Methodological quality was assessed using RoB 2. A total of 15 chronic (1 acute), 936 participants (46.7% women). Exercise showed large effects on reasoning and problem solving; small effects on executive functioning. Per diagnosis, exercise showed moderate positive effects on executive functioning and large effects on processing speed in people with depression; large effects on reasoning and problem solving in people with schizophrenia. The present study indicates a large beneficial effect of chronic physical exercise on reasoning and problem solving and small effects on executive functioning in people with SMI.

A Systematic Review and Meta-Analysis of the Brief Cognitive Assessment for Multiple Sclerosis (BICAMS) International Validations

Cognitive impairment is a prevalent and debilitating symptom of multiple sclerosis (MS) but is not routinely addressed in clinical care. The Brief Cognitive Assessment for Multiple Sclerosis (BICAMS) was developed in 2012 to screen and monitor MS patients’ cognition. This systematic review and meta-analysis aimed to identify, synthesise, and critically appraise current BICAMS’ international validations. The literature search was conducted using PubMed, PsycINFO and Web of Science electronic databases in August 2022. Quantitative, peer-reviewed adult studies, which followed the BICAMS international validation protocol and were published in English, were included. The search identified a total of 203 studies, of which 26 were eligible for inclusion. These reported a total of 2833 adults with MS and 2382 healthy controls (HC). The meta-analysis showed that BICAMS identified impaired cognitive functioning in adults with MS compared to HC for all three subtests: information processing speed (g = 0.854, 95% CI = 0.765, 0.944, p < 0.001), immediate verbal recall (g = 0.566, 95% CI = 0.459, 0.673, p < 0.001) and immediate visual recall (g = 0.566, 95% CI = 0.487, 0.645, p < 0.001). Recruitment sites and strategies limit the generalisability of results. BICAMS is a valid and feasible international MS cognitive assessment.

Predictors of incident reversible and potentially reversible cognitive frailty among Taiwanese older adults

BACKGROUND

Few studies emphasize on predictors of incident cognitive frailty (CF) and examine relationships between various gait characteristics and CF. Therefore, we conducted a 2-year prospective study to investigate potential predictors, including gait characteristics, of incident reversible CF (RCF) and potentially RCF (PRCF) among Taiwanese older adults.

METHODS

Eligible participants were individuals aged ≥ 65 years, who could ambulate independently, and did not have RCF/PRCF at the baseline. The baseline assessment collected information on physical frailty and cognitive measures, in addition to sociodemographic and lifestyle characteristics, preexisting comorbidities and medications, gait characteristics, Tinetti's balance, balance confidence as assessed by Activities-specific Balance Confidence (ABC) scale, and the depressive status as assessed by the Geriatric Depression Scale. The Mini-Mental State Examination (MMSE), Mattis Dementia Rating Scale, and Digit Symbol Substitution Test were used to evaluate cognitive functions. Incident RCF and PRCF were ascertained at a 2-year follow-up assessment.

RESULTS

Results of the multinomial logistic regression analysis showed that incident RCF was significantly associated with older age (odds ratio [OR] = 1.05) and lower ABC scores (OR = 0.97). Furthermore, incident PRCF was significantly associated with older age (OR = 1.07), lower ABC scores (OR = 0.96), the presence of depression (OR = 3.61), lower MMSE scores (OR = 0.83), slower gait velocity (OR = 0.97), and greater double-support time variability (OR = 1.09).

CONCLUSIONS

Incident RCF was independently associated with older age and lower balance confidence while incident PRCF independently associated with older age, reduced global cognition, the presence of depression, slower gait velocity, and greater double-support time variability. Balance confidence was the only modifiable factor associated with both incident RCF and PRCF.

A Machine Learning Approach for Early Diagnosis of Cognitive Impairment Using Population-Based Data

BACKGROUND

The major mechanisms of dementia and cognitive impairment are vascular and neurodegenerative processes. Early diagnosis of cognitive impairment can facilitate timely interventions to mitigate progression.

OBJECTIVE

This study aims to develop a reliable machine learning (ML) model using socio-demographics, vascular risk factors, and structural neuroimaging markers for early diagnosis of cognitive impairment in a multi-ethnic Asian population.

METHODS

The study consisted of 911 participants from the Epidemiology of Dementia in Singapore study (aged 60- 88 years, 49.6% male). Three ML classifiers, logistic regression, support vector machine, and gradient boosting machine, were developed. Prediction results of independent classifiers were combined in a final ensemble model. Model performances were evaluated on test data using F1 score and area under the receiver operating curve (AUC) methods. Post modelling, SHapely Additive exPlanation (SHAP) was applied on the prediction results to identify the predictors that contribute most to the cognitive impairment prediction.

FINDINGS

The final ensemble model achieved a F1 score and AUC of 0.87 and 0.80 respectively. Accuracy (0.83), sensitivity (0.86), specificity (0.74) and predictive values (positive 0.88 negative 0.72) of the ensemble model were higher compared to the independent classifiers. Age, ethnicity, highest education attainment and neuroimaging markers were identified as important predictors of cognitive impairment.

CONCLUSION

This study demonstrates the feasibility of using ML tools to integrate multiple domains of data for reliable diagnosis of early cognitive impairment. The ML model uses easy-to-obtain variables and is scalable for screening individuals with a high risk of developing dementia in a population-based setting.

The Future of Cognitive Screening in Neurodegenerative Diseases

Cognitive screening instruments (CSI) have variable sensitivity and specificity to the cognitive changes associated with dementia syndromes, and the most recent systematic review found insufficient evidence to support the benefit of cognitive screening tools in older adults residing within the community. Consequently, there is a critical need to improve CSI methods, which have not yet incorporated advances in psychometrics, neuroscience, and technology. The primary goal of this article is to provide a framework for transitioning from legacy CSIs to advanced dementia screening measurement. In line with ongoing efforts in neuropsychology and the call for next-generation digital assessment for early detection of AD, we propose a psychometrically advanced (including application of item response theory methods), automated selective assessment model that provides a framework to help propel an assessment revolution. Further, we present a three-phase model for modernizing CSIs and discuss critical diversity and inclusion issues, current challenges in differentiating normal from pathological aging, and ethical considerations.

Comparing the Diagnostic Value of Four Dementia Tests in the Amnestic and Healthy Elderly

Introduction

This study aimed to compare the diagnostic value of four questionnaires for the diagnosis of neurocognitive disorders (NCDs) in the elderly.

Methods

In this project, people older than 60 years who lived in Tehran were investigated. A total of 99 literate cases were enrolled in the study, and four questionnaires, including functional assessment staging tool (FAST), abbreviated mental test score (AMTS), mini-mental state examination (MMSE), and modified Persian test of elderly for assessment of cognition and executive function (PEACE) were completed for them. They were then referred to a neuropsychiatrist, and the status of their cognition and neurobehavior was determined. The specialists were blinded to the results of the tests.

Results

Of the 99 participants studied, 39 cases were healthy, eight cases had mild Alzheimer's disease, 38 had amnesic MCI, five cases had secondary dementia, and nine cases had mixed vascular dementia and Alzheimer's disease. The area under the ROC curve for distinguishing the healthy group from the rest of the population was 0.692, 0.629, 0.734, and 0.751 for the FAST, AMTS, MMSE, and NBCSS questionnaires, respectively.

Conclusion

MMSE and NBCSS tests had better diagnostic power than the other two tests to distinguish the healthy group from the rest of the population.

[Cognitive impairment in patients of cardiac surgery with senile asthenia syndrome and preastenia]

OBJECTIVE

To identify the features of the cognitive status in patients with cardiac surgery profile with senile asthenia syndrome (SAS) and preasthenia.

MATERIAL AND METHODS

A study included 272 patients admitted for coronary artery bypass grafting (CABG). Screening for preasthenia and SAS in patients before surgery was performed using the Brief Battery of Physical Functioning Tests. SAS and preasthenia were detected in 15% of patients (n=41). Seventy-five patients were selected in the comparison group without asthenia. Assessment of the state of cognitive functions was carried out using screening neuropsychological scales - the Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA).

RESULTS

The median of the MMSE score (27 [26; 28] and 28 [27; 29], p=0.04), and the MoCA score (23 [19; 25] and 25 [23; 27], p=0.0085) was significantly lower in patients with asthenia and pre-asthenia compared to patients without asthenia. According to the MoCA, about 60% of patients in the pre-asthenia-asthenia group had severe cognitive impairment, while in the group without asthenia, more than 30% of cases had normal cognitive functions (p=0.003). Significant intergroup differences were found in MoCA subtests, reflecting visuospatial skills, abstraction, verbal fluency and working memory (p=0.01-0.04). Regression analysis showed that age and physical functioning index (severity of asthenia) most significantly contributed to the basic cognitive status assessed by MoCA.

CONCLUSION

Features of the cognitive status in patients of cardiac surgery with the SAS and preasthenia are impairments of visuospatial thinking, verbal fluency, abstract thinking and working memory. The MoCA was shown to be informative in determining the basic cognitive status of cardiac surgical patients. At the same time, the greatest contribution to the basic cognitive status is made by age and the indicator of physical functioning, which characterizes the degree of asthenia.

Antihypertensive therapy is associated with improved visuospatial, executive, attention, abstraction, memory, and recall scores on the montreal cognitive assessment in geriatric hypertensive patients

Background

The prevalence of Mild Cognitive Impairment (MCI) has increased over the past few decades. However, it can potentially be reversed if detected early. Early detection of MCI using the sensitive Montreal Cognitive Assessment (MoCA) might prove to be an important cog in the wheel in identifying and slowing down this morbid pandemic in hypertensive persons.

Objectives

To study the association of antihypertensive agents on cognitive scores and prevalence of MCI using the MoCA.

Materials and methods

This is a single-center, controlled, observational, cross-sectional study in a tertiary care teaching hospital in India. Cognitive assessment was done using the Montreal Cognitive Assessment. Data on MoCA scores were comprehensively analyzed.

Results

A total of N = 210 patients (n = 105 the in study and control groups) were included in the study. The median (IQR) MoCA score (out of 30 points) in patients taking antihypertensives was 26 (25 - 27), while it was 24 (22 - 25) in the control group. There was no difference in MoCA scores between patients taking lipophilic or hydrophilic antihypertensives. Similarly, there was no difference in MoCA scores between patients taking different drug regimens.

Conclusion

Anti-hypertensive therapy and lower blood pressure had a statistically significant positive association with visuospatial, executive, attention, abstraction, memory, and recall MoCA scores. Patients on antihypertensive therapy also had a lower prevalence of MCI. MoCA scores were similar in patients on either lipophilic or hydrophilic drugs and were similar between patients on different antihypertensive drug classes.

Deep learning-based speech analysis for Alzheimer's disease detection: a literature review

BACKGROUND

Alzheimer's disease has become one of the most common neurodegenerative diseases worldwide, which seriously affects the health of the elderly. Early detection and intervention are the most effective prevention methods currently. Compared with traditional detection methods such as traditional scale tests, electroencephalograms, and magnetic resonance imaging, speech analysis is more convenient for automatic large-scale Alzheimer's disease detection and has attracted extensive attention from researchers. In particular, deep learning-based speech analysis and language processing techniques for Alzheimer's disease detection have been studied and achieved impressive results.

METHODS

To integrate the latest research progresses, hundreds of relevant papers from ACM, DBLP, IEEE, PubMed, Scopus, Web of Science electronic databases, and other sources were retrieved. We used these keywords for paper search: (Alzheimer OR dementia OR cognitive impairment) AND (speech OR voice OR audio) AND (deep learning OR neural network).

CONCLUSIONS

Fifty-two papers were finally retained after screening. We reviewed and presented the speech databases, deep learning methods, and model performances of these studies. In the end, we pointed out the mainstreams and limitations in the current studies and provided a direction for future research.

The Boston cognitive assessment: Psychometric foundations of a self-administered measure of global cognition

Objective: The Boston Cognitive Assessment (BoCA) is a novel, computerized, self-administered assessment of global cognition. This work sought to establish the validity and reliability of the BoCA. Method: Two studies were conducted. The first study used a sample of 43 outpatients from a clinic in eastern Massachusetts to evaluate the content validity and internal consistency of the BoCA. The second study used a sample of 38 patients seen at an outpatient specialty neurological clinic to evaluate the BoCA's test-retest reliability after one week. Results: In the first study, participants without cognitive diagnoses scored significantly higher on both the BoCA and the Telephone Interview for Cognitive Status (TICS) compared to those with mild Neurocognitive Disorders. Correlational analyses revealed moderate correlations between several of the BoCA tasks and measures of related abilities. Exploratory factor analysis of the BoCA tasks revealed one robust factor accounting for a plurality (i.e., 42%) of variance in participant scores. The BoCA demonstrated good internal consistency (α = 0.79) and strong correlations (r = 0.80, p < 0.01) with the TICS. The second study revealed strong (r = 0.89, p < 0.001) test-retest reliability of the total BoCA score one week after participants' initial administration. Conclusions: This work provides evidence of the BoCA's psychometric properties as a self-administered screener of global cognition, and supports its implementation in clinical practice and future studies. Clinical implications, future directions, and limitations are discussed.

The effects of aerobic exercise and transcranial direct current stimulation on cognitive function in older adults with and without cognitive impairment: A systematic review and meta-analysis

BACKGROUND

Aerobic exercise (AE) may slow age-related cognitive decline. However, such cognition-sparing effects are not uniform across cognitive domains and studies. Transcranial direct current stimulation (tDCS) is a form of non-invasive brain stimulation and is also emerging as a potential alternative to pharmaceutical therapies. Like AE, the effectiveness of tDCS is also inconsistent for reducing cognitive impairment in ageing. The unexplored possibility exists that pairing AE and tDCS could produce synergistic effects and reciprocally augment cognition-improving effects in older individuals with and without cognitive impairments. Previous research found such synergistic effects on cognition when cognitive training is paired with tDCS in older individuals with and without mild cognitive impairment (MCI) or dementia.

AIM

The purpose of this systematic review with meta-analysis was to explore if pairing AE with tDCS could augment singular effects of AE and tDCS on global cognition (GC), working memory (WM) and executive function (EF) in older individuals with or without MCI and dementia.

METHODS

Using a PRISMA-based systematic review, we compiled studies that examined the effects of AE alone, tDCS alone, and AE and tDCS combined on cognitive function in older individuals with and without mild cognitive impairment (MCI) or dementia. Using a PICOS approach, we systematically searched PubMed, Scopus and Web of Science searches up to December 2021, we focused on 'MoCA', 'MMSE', 'Mini-Cog' (measures) and 'cognition', 'cognitive function', 'cognitive', 'cognitive performance', 'executive function', 'executive process', 'attention', 'memory', 'memory performance' (outcome terms). We included only randomized controlled trials (RTC) in humans if available in English full text over the past 20 years, with participants' age over 60. We assessed the methodological quality of the included studies (RTC) by the Physiotherapy Evidence Database (PEDro) scale.

RESULTS

Overall, 68 studies were included in the meta-analyses. AE (ES = 0.56 [95% CI: 0.28-0.83], p = 0.01) and tDCS (ES = 0.69 [95% CI: 0.12-1.26], p = 0.02) improved GC in all three groups of older adults combined (healthy, MCI, demented). In healthy population, AE improved GC (ES = 0.46 [95% CI: 0.22-0.69], p = 0.01) and EF (ES = 0.27 [95% CI: 0.05-0.49], p = 0.02). AE improved GC in older adults with MCI (ES = 0.76 [95% CI: 0.21-1.32], p = 0.01). tDCS improved GC (ES = 0.69 [90% CI: 0.12-1.26], p = 0.02), all three cognitive function (GC, WM and EF) combined in older adults with dementia (ES = 1.12 [95% CI: 0.04-2.19], p = 0.04) and improved cognitive function in older adults overall (ES = 0.69 [95% CI: 0.20-1,18], p = 0.01).

CONCLUSION

Our systematic review with meta-analysis provided evidence that beyond the cardiovascular and fitness benefits of AE, pairing AE with tDCS may have the potential to slow symptom progression of cognitive decline in MCI and dementia. Future studies will examine the hypothesis of this present review that a potentiating effect would incrementally improve cognition with increasing severity of cognitive impairment.

Addressing Psychosocial Factors in Cognitive Impairment Screening from a Holistic Perspective: The DeCo-Booklet Methodology Design and Pilot Study

Cognitive impairment (CI), an intermediate phase between the decline in physiological cognition and dementia, is known to be mediated by a variety of risk and protective factors, with age being the most influential of these. The multifactorial nature of CI and the worldwide phenomenon of an aging population makes decoupling old age from disease through the concept of healthy aging (HA) a matter of major interest. Focusing on psychosocial variables and psychological constructs, here we designed and piloted a data collection booklet (DeCo-B) to assess CI and HA from a holistic perspective. The DeCo-B comprises six sections: sociodemographic factors, CI, meaning in life, psychosocial factors, health problems, and lifestyle. The estimated prevalence of CI and HA in our cohort were 24.4% and 6.6%, respectively. Spearman correlations mainly identified pairwise associations between the meaning in life domains and psychosocial variables. Moreover, age, marital status, purpose in life, resilience, chronic pain, cognitive reserve, and obstructive sleep apnea were significantly associated with an increased risk of CI. Our results showed that DeCo-B is a suitable tool for researching how modifiable risk and protective factors influence cognitive status. The complex interrelationships between variables should be further investigated and, for practical reasons, the questionnaire should be optimized in future work.