Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review

S De la Fuente Garcia, CW Ritchie… - Journal of Alzheimer's …, 2020 - content.iospress.com
Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …

Cognitive assessment tools for mild cognitive impairment screening

L Zhuang, Y Yang, J Gao - Journal of Neurology, 2021 - Springer
Mild cognitive impairment (MCI) is a clinical condition with a high risk of progression to
dementia. Due to lack of effective disease-modifying therapies for advanced dementia …

Voice quality and speech fluency distinguish individuals with mild cognitive impairment from healthy controls

C Themistocleous, M Eckerström, D Kokkinakis - Plos one, 2020 - journals.plos.org
Mild Cognitive Impairment (MCI) is a syndrome characterized by cognitive decline greater
than expected for an individual's age and education level. This study aims to determine …

Cerebrospinal fluid biomarkers for early and differential Alzheimer's disease diagnosis

M Bjerke, S Engelborghs - Journal of Alzheimer's Disease, 2018 - content.iospress.com
An accurate and early diagnosis of Alzheimer's disease (AD) is important to select optimal
patient care and is critical in current clinical trials targeting core AD neuropathological …

Associations of sarcopenia and its defining components with cognitive function in community-dwelling oldest old

A Bai, W Xu, J Sun, J Liu, X Deng, L Wu, X Zou, J Zuo… - BMC geriatrics, 2021 - Springer
Background This study aimed to investigate the associations of sarcopenia and its defining
components with cognitive function in community-dwelling oldest old (over 80 years old) in …

Subjective cognitive decline and related cognitive deficits

T Si, G Xing, Y Han - Frontiers in Neurology, 2020 - frontiersin.org
Since late stage dementia, including Alzheimer's disease (AD), cannot be reversed by any
available drugs, there is increasing research interest in the preclinical stage of AD, ie …

Predicting MCI status from multimodal language data using cascaded classifiers

KC Fraser, K Lundholm Fors, M Eckerström… - Frontiers in aging …, 2019 - frontiersin.org
Recent work has indicated the potential utility of automated language analysis for the
detection of mild cognitive impairment (MCI). Most studies combining language processing …

Exploring deep transfer learning techniques for Alzheimer's dementia detection

Y Zhu, X Liang, JA Batsis, RM Roth - Frontiers in computer science, 2021 - frontiersin.org
Examination of speech datasets for detecting dementia, collected via various speech tasks,
has revealed links between speech and cognitive abilities. However, the speech dataset …

Identification of mild cognitive impairment from speech in Swedish using deep sequential neural networks

C Themistocleous, M Eckerström… - Frontiers in neurology, 2018 - frontiersin.org
While people with mild cognitive impairment (MCI) portray noticeably incipient memory
difficulty in remembering events and situations along with problems in decision making …

Imaging biomarkers of dementia: recommended visual rating scales with teaching cases

LO Wahlund, E Westman, D van Westen, A Wallin… - Insights into …, 2017 - Springer
The diagnostic work up of dementia may benefit from structured reporting of CT and/or MRI
and the use of standardised visual rating scales. We advocate a more widespread use of …