A comparison of different connected-speech tasks for detecting mild cognitive impairment using multivariate pattern analysis

Y Chen, RJ Hartsuiker, A Pistono - Aphasiology, 2024 - Taylor & Francis
Background It is common for the elderly population to have age-associated cognitive decline
and/or develop neurodegenerative diseases such as dementia. Several studies have …

[引用][C] P3‐113: Detecting mild cognitive impairment (MCI) in older adults from content of spoken utterances

M Asgari, J Kaye, N Mattek… - Alzheimer's & Dementia, 2015 - Wiley Online Library
Background Trials in Alzheimer's disease are increasingly focusing on prevention in
asymptomatic individuals. This poses a challenge in examining treatment effects since …

Connected speech assessment in the early detection of Alzheimer's disease and mild cognitive impairment: a scoping review

RP Filiou, N Bier, A Slegers, B Houze, P Belchior… - Aphasiology, 2020 - Taylor & Francis
Background: Connected speech (CS) deterioration appears early in the progression to
Alzheimer's disease (AD) and in mild cognitive impairment (MCI). As such, CS assessment …

[HTML][HTML] A comparison of speech features between mild cognitive impairment and healthy aging groups

KW Kim, SH Na, YC Chung, BS Shin - Dementia and …, 2021 - ncbi.nlm.nih.gov
Background and Purpose Language dysfunction is a symptom common to patients with
Alzheimer's disease (AD). Speech feature analysis may be a patient-friendly screening test …

Identification of mild cognitive impairment among Chinese based on multiple spoken tasks

T Wang, Y Hong, Q Wang, R Su, ML Ng… - Journal of …, 2021 - content.iospress.com
Background: Previous studies explored the use of noninvasive biomarkers of speech and
language for the detection of mild cognitive impairment (MCI). Yet, most of them employed …

Abnormalities of connected speech in semantic dementia vs Alzheimer's disease

SA Sajjadi, K Patterson, M Tomek, PJ Nestor - Aphasiology, 2012 - Taylor & Francis
Background: Neurodegenerative syndromes are associated with varying degrees of
language impairment. Connected speech analysis provides the most realistic measure of …

Automated classification of primary progressive aphasia subtypes from narrative speech transcripts

KC Fraser, JA Meltzer, NL Graham, C Leonard, G Hirst… - cortex, 2014 - Elsevier
In the early stages of neurodegenerative disorders, individuals may exhibit a decline in
language abilities that is difficult to quantify with standardized tests. Careful analysis of …

Linguistic parameters of spontaneous speech for identifying mild cognitive impairment and Alzheimer disease

V Vincze, MK Szabó, I Hoffmann, L Tóth… - Computational …, 2022 - direct.mit.edu
In this article, we seek to automatically identify Hungarian patients suffering from mild
cognitive impairment (MCI) or mild Alzheimer disease (mAD) based on their speech …

[HTML][HTML] Predicting mild cognitive impairment from spontaneous spoken utterances

M Asgari, J Kaye, H Dodge - … & Dementia: Translational Research & Clinical …, 2017 - Elsevier
Abstract Introduction Trials in Alzheimer's disease are increasingly focusing on prevention in
asymptomatic individuals. We hypothesized that indicators of mild cognitive impairment …

Complex discourse production in mild cognitive impairment: detecting subtle changes

VB Fleming, JL Harris - Aphasiology, 2008 - Taylor & Francis
Background: Mild cognitive impairment (MCI) is characterised by memory impairment that is
greater than would be expected for an individual's age and educational background …