Mapping amyloid beta predictors of entorhinal tau in preclinical Alzheimer's disease.

Introduction: Amyloid beta (Aβ) plaques and hyperphosphorylated tau in the entorhinal regions are key Alzheimer's disease (AD) markers, but the spatial Aβ pathways influencing tau pathology remain unclear.

Methods: We applied predictive modeling to identify Aβ standardized uptake value ratio (SUVR) spatial patterns that predict entorhinal tau levels, future hippocampal volume, and Preclinical Alzheimer's Cognitive Composite (PACC) scores at 5-year follow-up. The model was trained on Alzheimer's Disease Neuroimaging Initiative (ADNI) (N = 237), incorporating amyloid-PET (positron emission tomography), tau-PET, magnetic resonance imaging (MRI), and cognitive data, and validated on Harvard Aging Brain Study (HABS) (N = 276).

Investigating the role of auditory cues in modulating motor timing: insights from EEG and deep learning.

Research on action-based timing has shed light on the temporal dynamics of sensorimotor coordination. This study investigates the neural mechanisms underlying action-based timing, particularly during finger-tapping tasks involving synchronized and syncopated patterns. Twelve healthy participants completed a continuation task, alternating between tapping in time with an auditory metronome (pacing) and continuing without it (continuation).

The effects of Staphylococcus aureus protein a (SpA) on the expression of inflammatory cytokines in autoimmune patients and their probable immune response modulation mechanisms.

The recombinant Staphylococcal protein A (SpA) is widely used in biotechnology to purify polyclonal and monoclonal IgG antibodies. At very low concentrations, the highly-purified form of the protein A can down-regulate the activation of human B-lymphocytes and macrophages which are the key cells in determining autoimmune diseases. In the present study, the efficiency of three different forms of protein A, including native full-length SpA, the recombinant full-length SpA, and a recombinant truncated form of SpA on the reduction of 4 inflammatory cytokines, including IL-8, IL-1β, TNF-α, and IL-6 by peripheral blood mononuclear cell (PBMCs) were studied and compared to an anti-rheumatoid arthritis commercial drug, Enbrel.

Predicting the Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using Graph Frequency Bands and Functional Connectivity-Based Features.

Accurate prediction of the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) is crucial for disease management. Machine learning techniques have demonstrated success in classifying AD and MCI cases, particularly with the use of resting-state functional magnetic resonance imaging (rs-fMRI) data.This study utilized three years of rs-fMRI data from the ADNI, involving 142 patients with stable MCI (sMCI) and 136 with progressive MCI (pMCI).