Explainable multiplex graph propagational network with multimodal neuroimage integration for dementia subtype diagnosis.

Dementia encompasses diverse subtypes with distinct characteristics, including cognitive functions, cerebrospinal fluid biomarkers, and neuroimages. Neuroimaging-based diagnosis is advantageous due to low variability and minimal invasiveness, ensuring safe and accurate outcomes. Recently, integrating multimodal neuroimages with machine learning techniques has enhanced diagnostic precision.

Distinct gut microbiota profiles and network properties in older Korean individuals with subjective cognitive decline, mild cognitive impairment, and Alzheimer's disease.

Background: The gut microbiota may influence cognitive function via the gut-brain axis. This study aimed to investigate the gut microbiota profiles of 346 older Korean individuals with subjective cognitive decline but no symptoms (SCD), mild cognitive impairment (MCI), or Alzheimer’s disease (AD).

Methods: Participants aged an average of 72.

NeuroFANN: identification of neuropathological subtypes in dementia with plasma proteins by using functionally annotated neural network.

Dementia diagnosis relies on identifying neuropathological features, such as beta-amyloid (Aβ) deposition, medial temporal lobe atrophy (MTA), and white matter hyperintensity (WMH). Recently, plasma protein biomarkers have emerged as a cost-effective and less invasive tool for identifying neuropathological features, enhanced by machine learning (ML) for precise diagnosis. However, most ML studies fail to account for protein-protein interactions (PPIs) and synergetic effects between proteins, overlooking their collective contributions to disease mechanisms.

Transcriptional Landscape and Biomarker Discovery for Endoplasmic Reticulum Stress in Alzheimer's Disease: An Ex Vivo Study Using Patients-Derived Dermal Fibroblasts.

Objective: Numerous studies have identified various risk factors associated with Alzheimer's disease (AD). However, the experimental limitations of disease modeling make it challenging to directly interpret their effects. These limitations include constraints of postmortem samples, animal experiments, and challenges associated with brain tissue studies.

Digital Mental Health Interventions for Adolescents: An Integrative Review Based on the Behavior Change Approach.

Adolescents are at a critical developmental stage marked by rapid cognitive, emotional, and social changes, making them highly susceptible to mental health issues. Recently, digital health interventions (DHIs) have emerged as innovative and scalable tools for promoting mental well-being in this population. This integrative review was conducted based on comprehensive literature searches of major academic databases, including PubMed, Scopus, Web of Science, and PsycINFO.

Age- and Sex-Specific Gut Microbiota Signatures Associated with Dementia-Related Brain Pathologies: An LEfSe-Based Metagenomic Study.

Background/objectives: Emerging evidence suggests that gut microbiota composition is influenced by both age and sex and may contribute to dementia-related brain pathologies. However, comprehensive microbiome-based biomarker discovery stratified by these factors remains limited.

Methods: We performed a metagenomic analysis of the gut microbiota of participants stratified by sex (female vs.

Machine learning-based prediction of amyloid positivity using early-phase F-18 flutemetamol PET.

BackgroundPrevious studies have suggested that early-phase imaging of amyloid positron emission tomography (PET) may offer information for predicting amyloid positivity.ObjectiveThis study aimed to evaluate whether early-phase fluorine-18 flutemetamol (eFMM) PET images provide valuable information for predicting amyloid positivity using machine learning (ML) models and whether incorporating clinical and neuropsychological features improves predictive performance.MethodsIn total, 454 patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD) were enrolled and randomly divided into training (n = 354) and test (n = 100) groups.

Utility of plasma GFAP as a secondary endpoint for clinical trials in Alzheimer's disease.

Background: Clinical trials have recently incorporated plasma glial fibrillary acidic protein (GFAP) as an exploratory endpoint. To include plasma GFAP as a secondary endpoint, it is essential to characterize its longitudinal progression in target populations.

Objective: To evaluate the potential use of plasma GFAP changes as a secondary endpoint in Alzheimer's disease trials.

Altered triple network model connectivity is associated with cognitive function and depressive symptoms in older adults.

Introduction: Late-life cognitive impairment and depression frequently co-occur and share many symptoms. However, the specific neural and clinical factors contributing to both their common and distinct profiles in older adults remain unclear.

Methods: We investigated resting-state correlates of cognitive and depressive symptoms in older adults (n = 248 and n = 95) using clinical, blood, and neuroimaging data.

Brain age mediates gut microbiome dysbiosis-related cognition in older adults.

Background: Recent studies have focused on improving our understanding of gut microbiome dysbiosis and its impact on cognitive function. However, the relationship between gut microbiome composition, accelerated brain atrophy, and cognitive function has not yet been fully explored.

Methods: We recruited 292 participants from South Korean memory clinics to undergo brain magnetic resonance imaging, clinical assessments, and collected stool samples.

South Korean study to prevent cognitive impairment and protect brain health through multidomain interventions via face-to-face and video communication platforms in mild cognitive impairment (SUPERBRAIN-MEET): A randomized controlled trial.

Introduction: We investigated the efficacy of a multidomain intervention (MI) via face-to-face and video communication platforms using a tablet personal computer application in patients with mild cognitive impairment (MCI).

Methods: Three hundred participants with MCI and ≥ 1 modifiable dementia risk factor, aged 60-85 years, were randomly assigned to either the MI group, who underwent a 24-week intervention, or the control group, who received usual care.

Results: The overall adherence rate to MI was 84.

SoUth Korean study to PrEvent cognitive impaiRment and protect BRAIN health through Multidomain interventions via facE-to-facE and video communication plaTforms in mild cognitive impairment (SUPERBRAIN-MEET): Protocol for a Multicenter Randomized Controlled Trial.

Background And Purpose: The SoUth Korea study to PrEvent cognitive impaiRment and protect BRAIN health through lifestyle intervention (SUPERBRAIN) proved the feasibility of multidomain intervention for elderly people. One-quarter of the Korean population over 65 years of age has mild cognitive impairment (MCI). Digital health interventions may be cost-effective and have fewer spatial constraints.

Higher HbA1c Is Associated With Greater 2-Year Progression of White Matter Hyperintensities.

White matter hyperintensity (WMH) lesions on brain MRI images are surrogate markers of cerebral small vessel disease. Longitudinal studies examining the association between diabetes and WMH progression have yielded mixed results. Thus, in this study, we investigated the association between HbA1c, a biomarker for the presence and severity of hyperglycemia, and longitudinal WMH change after adjusting for known risk factors for WMH progression.

Impact of a multidomain lifestyle intervention on white matter integrity: the SUPERBRAIN exploratory sub-study.

In the South Korean study to prevent cognitive impairment and protect BRAIN health through lifestyle intervention in at-risk elderly people (SUPERBRAIN), we evaluated the impact of a 24-week facility-based multidomain intervention (FMI) and home-based MI (HMI) on white matter integrity. Among 152 participants, aged 60-79 years without dementia but with ≥1 modifiable dementia risk factor, 19 FMI, 20 HMI, and 16 controls underwent brain MRI at baseline and 24 weeks. Between the intervention and control groups, we compared changes in fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD) and radial diffusivity (RD) at regions-of-interest (ROI) including the cingulum cingulate gyrus (CgC), cingulum hippocampus (CgH), superior longitudinal fasciculus (SLF), as well as the uncinate fasciculus (UF).