Dissemination of the Care Ecosystem Collaborative Care Model for Dementia.

Background: Dementia represents a growing healthcare challenge in the United States. The Care Ecosystem, an effective collaborative care model, bridges medical and social care needs for individuals with dementia. The purpose of this study was to describe how the Care Ecosystem has been disseminated and the lessons learned from this experience.

Gut-brain Axis and Irritable Bowel Syndrome During the Lockdown due to the SARS-CoV-2 Pandemic: A Survey-based Study.

Background: Irritable bowel syndrome (IBS) is influenced by various factors, including socioemotional stressors. The COVID-19 lockdown created a unique environment characterized by reduced social interactions, potentially impacting IBS symptoms.

Aim: To assess how lockdown measures affected symptoms related to the gut-brain axis in IBS patients in Buenos Aires, Argentina.

The pivotal role of sleep in mediating the effects of life stressors and healthy habits on allostatic load in mid-life adults.

Objectives: We assessed the modulation of allostatic load (AL) by engagement in healthy habits and life stressors, mediated through resilience and the perceived influence of the stressors. Sleep was included as third mediator given extensive evidence associating to all the analysed factors.

Methods: Structural equation models to assess the modulation of AL by either traumatic or psychosocial stressors and healthy habits were generated with data from 620 mid-life adults (age 51.

Harmonious ageing: a narrative review of music therapy in the biomedical literature.

Purpose: As the global population of older adults rises, the United Nations Decade of Healthy Ageing (2021-2030) advocates for disease prevention, management, and enhancing overall wellbeing in older adults. We reviewed the MEDLINE literature under the MeSH term "music therapy" (MT), for its role in promoting healthy ageing.

Methods: A systematic search of the MEDLINE biomedical database (Ovid) was conducted using "MT" and "Ageing" as keywords, retrieving relevant full-text studies in English.

The African Initiative for Bioinformatics Online Training in Neurodegenerative Diseases (AI-BOND): Investing in the next generation of African neuroscientists.

Unlabelled: Neurodegenerative disorders, including Alzheimer's disease and AD-related dementias (AD/ADRD), pose significant challenges to health care systems globally, particularly in Africa. With the advances in medical technology and research capabilities, especially in next-generation sequencing and imaging, vast amounts of data have been generated from AD/ADRD research. Given that the greatest increase in AD/ADRD prevalence is expected to occur in Africa, it is critical to establish comprehensive bioinformatics training programs to help African scientists leverage existing data and collect additional information to untangle AD/ADRD heterogeneity in African populations.

Health care systems and policies for older adults in Nepal: new challenges for a low-middle income country.

Background: Nepal, like other low- and middle-income countries, is experiencing a rapid increase in the number of older adults and the rate of aging in the population. This has increased the number of older adults with age-associated chronic illnesses, which in turn will escalate the demand for specialized healthcare and long-term care in Nepal. However, very little is known regarding the current healthcare system and health policies for older adults in Nepal.

FAST functional connectivity implicates P300 connectivity in working memory deficits in Alzheimer's disease.

Measuring transient functional connectivity is an important challenge in electroencephalogram (EEG) research. Here, the rich potential for insightful, discriminative information of brain activity offered by high-temporal resolution is confounded by the inherent noise of the medium and the spurious nature of correlations computed over short temporal windows. We propose a methodology to overcome these problems called filter average short-term (FAST) functional connectivity.

Microglia-like cells from patient monocytes demonstrate increased phagocytic activity in probable Alzheimer's disease.

Alzheimer's disease (AD) is a neurodegenerative disorder that is characterized by the accumulation of amyloid plaques, phosphorylated tau tangles and microglia toxicity, resulting in neuronal death and cognitive decline. Since microglia are recognized as one of the key players in the disease, it is crucial to understand how microglia operate in disease conditions and incorporate them into models. The studies on human microglia functions are thought to reflect the post-symptomatic stage of the disease.

Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas.

Structural inequality, the uneven distribution of resources and opportunities, influences health outcomes. However, the biological embedding of structural inequality in aging and dementia, especially among underrepresented populations, is unclear. We examined the association between structural inequality (country-level and state-level Gini indices) and brain volume and connectivity in 2,135 healthy controls, and individuals with Alzheimer's disease and frontotemporal lobe degeneration from Latin America and the United States.

Neural dynamics of social verb processing: An MEG study.

Human vocabularies include specific words to communicate interpersonal behaviors, a core linguistic function mainly afforded by social verbs (SVs). This skill has been proposed to engage dedicated systems subserving social knowledge. Yet, neurocognitive evidence is scarce, and no study has examined spectro-temporal and spatial signatures of SV access.

Next generation brain health: transforming global research and public health to promote prevention of dementia and reduce its risk in young adult populations.

Efforts to prevent dementia can benefit from precision interventions delivered to the right population at the right time; that is, when the potential to reduce risk is the highest. Young adults (aged 18-39 years) are a neglected population in dementia research and policy making despite being highly exposed to several known modifiable risk factors. The risk and protective factors that have the biggest effect on dementia outcomes in young adulthood, and how these associations differ across regions and groups, still remain unclear.

Retest reliability and reliable change of community-dwelling Black/African American older adults with and without mild cognitive impairment using NIH Toolbox-Cognition Battery and Cogstate Brief Battery for laptop.

Objective: With the increased use of computer-based tests in clinical and research settings, assessing retest reliability and reliable change of NIH Toolbox-Cognition Battery (NIHTB-CB) and Cogstate Brief Battery (Cogstate) is essential. Previous studies used mostly White samples, but Black/African Americans (B/AAs) must be included in this research to ensure reliability.

Method: Participants were B/AA consensus-confirmed healthy controls (HCs) (n = 49) or mild cognitive impairment (MCI) (n = 34) adults 60-85 years that completed NIHTB-CB and Cogstate for laptop at two timepoints within 4 months.

Longitudinal trajectory of plasma p-tau217 in cognitively unimpaired subjects.

Background: The advent of Alzheimer's disease-modifying drugs requires accurate biological diagnosis to identify candidates for these therapies. So far, the most promising single plasma biomarker is phosphorylated tau at threonine 217 (p-tau217). To understand its biological features, it is essential to know its longitudinal trajectory and factors influencing it in cognitively unimpaired subjects with no brain pathology.

Impact of gender on the willingness to participate in clinical trials and undergo related procedures in individuals from an Alzheimer's prevention research cohort.

Background: Although there is growing evidence of the association between gender and early diagnosis of preclinical Alzheimer's disease, little attention has been given to the enrolment ratio of men and women in clinical trials and data reporting.

Methods: This study aims to analyze gender differences in sociodemographic factors associated with the willingness to participate in clinical trials and undergo specific procedures in the context of an Alzheimer's disease prevention research cohort. 2544 cognitively unimpaired participants from the ALFA parent cohort (age 45-75 years) of the Barcelonaβeta Brain Research Center were contacted through a structured phone call to determine their willingness to participate in Alzheimer's disease clinical trials and undergo trial-related procedures (magnetic resonance imaging, lumbar puncture, positron emission tomography, and cognitive assessment).

Social patterning of cognitive impairment in Colombia: evidence from the SABE 2015 study.

Introduction: Dementia, an increasingly critical public health concern in low and middle-income countries, is associated with lower socioeconomic status, early cognitive impairment, and elevated dementia-related mortality risk. This study seeks to estimate the prevalence of cognitive impairment, investigate its links with social indicators, and visualize social gradients across different regions in Colombia.

Methods: Secondary data analysis from the SABE 2015 survey, multinomial regression analyses, and equiplot graphs.

Early life exposure to structural sexism and late-life memory trajectories among black and white women and men in the United States.

Introduction: We investigated whether early life exposure to state-level structural sexism influenced late-life memory trajectories among United Staes (U.S.) -born women and men and determined whether associations differed between racialized groups.

Low income, being without employment, and living alone: how they are associated with cognitive functioning-Results from the German national cohort (NAKO).

Aim was to investigate to what extent cognitive functioning differs by three socioeconomic conditions: low income, being without employment, and living alone. A total of N = 158,144 participants of the population-based German National Cohort (NAKO) provided data on socioeconomic conditions and completed cognitive tests. Multivariable confounder-adjusted regression analyses indicated that cognitive functioning was lower in those with low income (b = -0.

Ancestral Genomic Functional Differences in Oligodendroglia: Implications for Alzheimer's Disease.

Background: This study aims to elucidate ancestry-specific changes to the genomic regulatory architecture in induced pluripotent stem cell (iPSC)-derived oligodendroglia, focusing on their implications for Alzheimer's disease (AD). This work addresses the lack of diversity in previous iPSC studies by including ancestries that contribute to African American (European/African) and Hispanic/Latino populations (Amerindian/African/European).

Methods: We generated 12 iPSC lines-four African, four Amerindian, and four European- from both AD patients and non-cognitively impaired individuals, with varying genotypes ( and ).

Brain health is essential for smooth economic transitions: towards socio-economic sustainability, productivity and well-being.

Optimal brain health is essential to smoothing major global skill-intensive economic transitions, such as the bioeconomy, green, care economy and digital transitions. Good brain health is vital to socio-economic sustainability, productivity and well-being. The care transition focuses on recognizing and investing in care services and care work as essential for economic growth and social well-being.

Adaptation in communication technology utilization: caring for individuals with chronic conditions in South Asia during the Covid-19 pandemic.

Background: During the Covid-19 pandemic, people with chronic conditions experienced delayed or missed care, while their carers endured social isolation, loneliness, and reduced support. Information communication technology (ICT) can be utilized to encourage continuity of care, address misinformation, and allocate support. This study aimed to identify factors associated with the ICT adaptation of South Asian carers of individuals with chronic conditions by comparing changes in ICT utilization and preferences before and during the pandemic.

Telehealth memory clinics in primary healthcare: real-world experiences from low-resource settings in Greece.

Background: The role of primary healthcare is pivotal in the management of the surge of dementia prevalence particularly in low-resource areas. In this study, two telehealth-based memory clinics in primary healthcare operating within the frames of the INTegRated InterveNtion of pSychogerIatric Care (INTRINSIC) are presented.

Methods: The first clinic, which is led by a general practitioner, operates at a primary healthcare center in a semi-mountainous area and closely collaborates with the geriatric psychiatry outpatient clinic of the Patras University General Hospital via a telehealth medicine platform.

Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software.

In this study, we introduce a denoising method aimed at improving the contrast ratio in low-field MRI (LFMRI) using an advanced 3D deep convolutional residual network model. Our approach employs synthetic brain imaging datasets that closely mimic the contrast and noise characteristics of LFMRI scans, addressing the limitation of available in-vivo LFMRI datasets for training deep learning models. In the simulation data, the Relative Contrast Ratio (RCR) increased, and similar improvements were observed in the in-vivo data across different imaging conditions.