[HTML][HTML] Association between acoustic features and neuropsychological test performance in the Framingham heart study: Observational study

H Ding, A Mandapati, C Karjadi, TFA Ang, S Lu… - Journal of Medical …, 2022 - jmir.org
Background Human voice has increasingly been recognized as an effective indicator for the
detection of cognitive disorders. However, the association of acoustic features with specific …

[HTML][HTML] Identification of digital voice biomarkers for cognitive health

H Lin, C Karjadi, TFA Ang, J Prajakta… - Exploration of …, 2020 - ncbi.nlm.nih.gov
Aim: Human voice contains rich information. Few longitudinal studies have been conducted
to investigate the potential of voice to monitor cognitive health. The objective of this study is …

[HTML][HTML] Association between acoustic features and brain volumes: the Framingham Heart Study

H Ding, AP Hamel, C Karjadi, TFA Ang, S Lu… - Frontiers in …, 2023 - frontiersin.org
Introduction Although brain magnetic resonance imaging (MRI) is a valuable tool for
investigating structural changes in the brain associated with neurodegeneration, the …

Assessing the utility of language and voice biomarkers to predict cognitive impairment in the Framingham Heart Study Cognitive Aging Cohort Data

JA Thomas, HA Burkhardt, S Chaudhry… - Journal of …, 2020 - content.iospress.com
Background: There is a need for fast, accessible, low-cost, and accurate diagnostic methods
for early detection of cognitive decline. Dementia diagnoses are usually made years after …

[HTML][HTML] Cognitive digital biomarkers from automated transcription of spoken language

N Tavabi, D Stück, A Signorini, C Karjadi… - The journal of …, 2022 - Springer
Abstract Background Although patients with Alzheimer's disease and other cognitive-related
neurodegenerative disorders may benefit from early detection, development of a reliable …

[HTML][HTML] Neuropsychological test validation of speech markers of cognitive impairment in the Framingham Cognitive Aging Cohort

L Zhang, A Ngo, JA Thomas, HA Burkhardt… - Exploration of …, 2021 - ncbi.nlm.nih.gov
Aim: Although clinicians primarily diagnose dementia based on a combination of metrics
such as medical history and formal neuropsychological tests, recent work using linguistic …

Automatic detection of cognitive impairments through acoustic analysis of speech

R Nagumo, Y Zhang, Y Ogawa… - Current Alzheimer …, 2020 - ingentaconnect.com
Background: Early detection of mild cognitive impairment is crucial in the prevention of
Alzheimer's disease. The aim of the present study was to identify whether acoustic features …

Automated detection of mild cognitive impairment and dementia from voice recordings: a natural language processing approach

S Amini, B Hao, L Zhang, M Song, A Gupta… - Alzheimer's & …, 2023 - Wiley Online Library
Introduction Automated computational assessment of neuropsychological tests would
enable widespread, cost‐effective screening for dementia. Methods A novel natural …

Predicting mini-mental status examination scores through paralinguistic acoustic features of spontaneous speech

Z Fu, F Haider, S Luz - … Conference of the IEEE Engineering in …, 2020 - ieeexplore.ieee.org
Speech analysis could provide an indicator of cognitive health and help develop clinical
tools for automatically detecting and monitoring cognitive health progression. The Mini …

[HTML][HTML] The joint effects of acoustic and linguistic markers for early identification of mild cognitive impairment

F Tang, J Chen, HH Dodge, J Zhou - Frontiers in digital health, 2022 - frontiersin.org
In recent years, behavioral markers such as spoken language and lexical preferences have
been studied in the early detection of mild cognitive impairment (MCI) using conversations …