Computerized neuropsychological assessment in mild cognitive impairment based on natural language processing-oriented feature extraction

C Fang, P Janwattanapong, H Martin… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Typically, neuropsychological testing helps medical experts situate a given patient in
continuum of the Alzheimer's disease (AD) spectrum, especially in the continuum between …

Subject Harmonization of Digital Biomarkers: Improved Detection of Mild Cognitive Impairment from Language Markers

B Hoang, Y Pang, HH Dodge, J Zhou - PACIFIC SYMPOSIUM ON …, 2023 - World Scientific
Mild cognitive impairment (MCI) represents the early stage of dementia including
Alzheimer's disease (AD) and is a crucial stage for therapeutic interventions and treatment …

Automatic detection of linguistic indicators as a means of early detection of Alzheimer's disease and of related dementias: A computational linguistics analysis

V Rentoumi, G Paliouras, E Danasi… - 2017 8th IEEE …, 2017 - ieeexplore.ieee.org
In the present study, we analyzed written samples obtained from Greek native speakers
diagnosed with Alzheimer's in mild and moderate stages and from age-matched cognitively …

Detection of mild cognitive impairment from language markers with crossmodal augmentation

G Liu, Z Xue, L Zhan, HH Dodge… - PACIFIC symposium on …, 2022 - World Scientific
Mild cognitive impairment is the prodromal stage of Alzheimer's disease. Its detection has
been a critical task for establishing cohort studies and developing therapeutic interventions …

Design of novel screening environments for Mild Cognitive Impairment: Giving priority to elicited speech and language abilities

S Segkouli, I Paliokas, D Tzovaras… - 2015 9th …, 2015 - ieeexplore.ieee.org
Recent cognitive decline screening batteries have highlighted the importance of language
deficits related to semantic knowledge breakdown to reveal the incipient dementia. This …

Predicting early indicators of cognitive decline from verbal utterances

S Padhee, A Illendula, M Sadler… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders
resulting in impaired memory, communication, and thought processes. In recent years …

Functional connectivity of Chinese characters processing: A meta-analysis

Y Nie, J Wei, L Zhu, Q Zhou… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Meta-analyses aim to mine reliable research findings from individual studies and can be
usefully applied to an increasing number of published functional brain imaging studies. In …

Early detection of Alzheimer's disease using patient neuropsychological and cognitive data and machine learning techniques

I Almubark, LC Chang, T Nguyen… - … conference on big …, 2019 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a neurodegenerative disease and the most common cause of
dementia in older adults. With no known cures, there is a pressing need to find behavioral …

Detection of Mild Cognitive Impairment Using Image Differences and Clinical Features

L Li, JZ Wang, D Chahal, MA Eckert… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
In this study, we present a systematic method for early detection of mild cognitive impairment
(MCI) from magnetic resonance images (MRI) using image differences and clinical features …

A deep neural network approach for early diagnosis of mild cognitive impairment using multiple features

P Forouzannezhad, A Abbaspour, C Li… - 2018 17th IEEE …, 2018 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the most prevalent neurodegenerative disease that is
progressive and can be characterized mostly by neuronal atrophy, amyloid deposition …