Skip to main content

Aggregator

Sensory impairment and cognitive-state transitions in middle-aged and older adults: a multistate Markov analysis of the health and retirement study

3 days 6 hours ago
CONCLUSION: Sensory impairment, particularly dual sensory impairment, was most consistently associated with early cognitive deterioration and reduced cognitive recovery. It was not consistently associated with higher dementia progression or mortality transition rates. Death-inclusive multistate modeling may help identify where potentially modifiable sensory impairment is related to cognitive ageing trajectories.
Zhongxing Liu

Age-related cortical mechanisms underlying postural control: a systematic review

3 days 6 hours ago
INTRODUCTION: Despite growing interest in age-related cortical mechanisms of postural control, heterogeneity across studies has limited the synthesis of existing evidence. This systematic review aimed to (1) characterize age-related alterations in cortical activity during standing balance tasks with sensory, cognitive, and mechanical challenges; (2) examine the association between cortical activity and postural sway; and (3) characterize the current methodology of assessing cortical activity...
Myeongjin Bae

A two-step model of age-associated autoreactivity: B cell-intrinsic aging meets inflammaging

3 days 6 hours ago
Aging is associated with declining protective immunity and increased autoreactivity, yet the mechanisms linking these processes remain incompletely understood. B lymphocytes are central to this paradox because they integrate antigen recognition, innate signaling, and differentiation under tightly regulated tolerance checkpoints. This review advances the hypothesis that aging appears to drive a progressive, B cell-intrinsic relaxation of central and peripheral tolerance, leading to the...
Moncef Zouali

Multimodal prediction of MCI-to-dementia conversion over a two-year window

3 days 6 hours ago
Mild cognitive impairment (MCI) represents a heterogeneous clinical state where some individuals remain stable while others progress to dementia. Identification of patients who are at high risk for near-term conversion remains a critical challenge for timely intervention. We developed an explainable multimodal machine-learning framework to predict progression from MCI to dementia within a clinically meaningful two-year period. We analyzed 2008 samples from 828 unique MCI subjects from the...
Bipul Simkhada