Identifying proteomic prognostic markers for Alzheimer's disease with survival machine learning: The Framingham Heart Study.

Background: Protein abundance levels, sensitive to both physiological changes and external interventions, are useful for assessing the Alzheimer's disease (AD) risk and treatment efficacy. However, identifying proteomic prognostic markers for AD is challenging by their high dimensionality and inherent correlations.

Methods: Our study analyzed 1128 plasma proteins, measured by the SOMAscan platform, from 858 participants 55 years and older (mean age 63 years, 52.

Obesity and the development of Parkinson's disease within the Framingham Heart study cohort.

Objective: To determine the role of obesity in the development of Parkinson's disease (PD).

Background: Obesity has been reported to be both a risk factor for PD, as well as potentially protective. The Framingham Heart Study (FHS) is a multigenerational longitudinal cohort study that was started in 1948, which is well-known for its cardiovascular health studies.

Global amyloid burden enhances network efficiency of tau propagation in the brain.

Background: Amyloid-β (Aβ) and hyperphosphorylated tau are crucial biomarkers in Alzheimer's disease (AD) pathogenesis, interacting synergistically to accelerate disease progression. While Aβ initiates cascades leading to tau hyperphosphorylation and neurofibrillary tangles, PET imaging studies suggest a sequential progression from amyloidosis to tauopathy, closely linked with neurocognitive symptoms.

Objective: To analyze the complex interactions between Aβ and tau in AD using probabilistic graphical models, assessing how regional tau accumulation is influenced by Aβ burden.

Epilepsy is associated with the accelerated aging of brain activity in sleep.

Objective: Although seizures are the cardinal feature, epilepsy is associated with other forms of brain dysfunction including impaired cognition, abnormal sleep, and increased risk of developing dementia. We hypothesized that, given the widespread neurologic dysfunction caused by epilepsy, accelerated brain aging would be seen. We measured the sleep-based brain age index (BAI) in a diverse group of patients with epilepsy.

Obfuscation via pitch-shifting for balancing privacy and diagnostic utility in voice-based cognitive assessment.

Introduction: Digital voice analysis is gaining traction as a tool to differentiate cognitively normal from impaired individuals. However, voice data poses privacy risks due to the potential identification of speakers by automated systems.

Methods: We developed a framework that uses weighted linear interpolation of privacy and utility metrics to balance speaker obfuscation and cognitive integrity in cognitive assessments.