Connected Speech Features from Picture Description in Alzheimer’s Disease: A Systematic Review

Slegers, Antoine; Filiou, Renée-Pier; Montembeault, Maxime; Brambati, Simona Maria

doi:10.3233/jad-170881

Cited by 83 publications

(94 citation statements)

References 111 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Overall, individuals with MCI produce speech which is slower than the speech of HC individuals. Earlier studies suggest that MCI individuals produce longer pauses and longer segmental duration (see also Slegers et al 2018). Our finding may suggest that longer vowel duration and longer pause duration can be attributed to the overall slower speech.…”

Section: Discussionsupporting

confidence: 55%

Speech and Mild Cognitive Impairment detection

Themistocleous¹,

Kokkinakis²

2019

Proceedings of International Conferences of Experimental Linguistics

View full text Add to dashboard Cite

It is of great importance to detect objective markers that can enable the early and fast identification of individuals with Mild Cognitive Impairment (MCI) from healthy individuals to inform, patient care, family and treatment planning. Connected speech productions can offer such markers. This study analyses recordings from picture description tasks by Swedish individuals with MCI and healthy control individuals (HC) and shows that voice quality, periodicity, and speech rate distinguish individuals with MCI from HC.

show abstract

Section: Discussionsupporting

confidence: 55%

Speech and Mild Cognitive Impairment detection

Themistocleous¹,

Kokkinakis²

2019

Proceedings of International Conferences of Experimental Linguistics

View full text Add to dashboard Cite

show abstract

“…That is, our findings may also suggest further utilization of executive functioning skills, specifically strategic search (Birn et al, 2010;Li et al, 2017), by individuals with dementia, to find and retrieve the target verbs relative to cognitively healthy older adults. People with dementia not only lose control of attentional and executive functioning skills as their dementing disease progresses, but also demonstrate significant semantic degradation and impaired access to semantic representations (Reilly et al, 2011;Stopford et al, 2012;Szatloczki et al, 2015;Belleville et al, 2017;Slegers et al, 2018). The upregulation of frontal lobe areas may indicate additional burden to support attention and executive functions (i.e., search strategies) and organization of semantic clusters to keep up their verb fluency performance in the midst of a loss of semantic information.…”

Section: Brain Activation Differences Between Cognitively Healthy Oldmentioning

confidence: 99%

Neural Correlates of Verb Fluency Performance in Cognitively Healthy Older Adults and Individuals With Dementia: A Pilot fMRI Study

Paek

Murray

Newman

2020

Front. Aging Neurosci.

View full text Add to dashboard Cite

Currently there are ∼6 million Americans who are affected by dementia. Verbal fluency tasks have been commonly and frequently utilized to document the disease progression in many forms of dementia. Verb fluency has been found to display substantial potential to detect and monitor the cognitive declines of individuals with dementia who have fronto-striatal involvement. The neural substrates underlying verb fluency task performance, however, have remained unclear so far, especially in individuals with dementia. Therefore, in the current study, brain activation patterns of seven individuals with dementia and nine healthy older adults were investigated using functional MRI. The participants performed in the scanner an overt, subject-paced verb fluency task, representative of fluency tasks used in clinical settings. The brain activation patterns during the verb fluency task were compared between the two groups, and a correlational analysis was conducted to determine the neural correlates of verb fluency performance. The results suggest that compared to healthy older adults, individuals with dementia demonstrated poorer verb fluency performance and showed higher activation in specific neural regions, such as the bilateral frontal lobe. In addition, the correlational analysis revealed that poorer verb fluency performance lead to increased activation in certain cortical and subcortical areas, including left hippocampus and right supramarginal gyrus. The current findings are consistent with previous neurophysiological findings related to semantic (noun) fluency performance in older adults and individuals with dementia and add to the empirical evidence that supports the role of the frontal lobe and hippocampus in verb retrieval and search. Declines in verb fluency performance cannot only be used as a cognitive marker, but also represent neuropathological changes due to the neurodegenerative disease.

show abstract

“…There are also potential difficulties with manually coding the part of speech (POS) categories of every token, so previous studies on the POS analysis have rarely examined every word of an utterance. This is a problem in studying language use of patients with dementia, because many previous studies have shown that patients with dementia tend to produce fewer words than controls (e.g., Ash et al 2013;Slegers et al, 2018;Tappen et al, 2002), but failed to show in detail which POS categories were reduced in which patient groups due to the efforts required for manual POS tagging. Because of the effort involved, large-scale studies are rarely performed.…”

Section: Introductionmentioning

confidence: 99%

Automated analysis of lexical features in Frontotemporal Degeneration

Cho

Nevler

Ash

et al. 2020

Preprint

View full text Add to dashboard Cite

We implemented an automated analysis of lexical aspects of semi-structured speech produced by three patient groups with Frontotemporal degeneration (FTD): behavioral variant FTD (n=74), semantic variant Primary Progressive Aphasia (svPPA, n=42), and nonfluent/agrammatic PPA (naPPA, n=22). With a natural language processing program, we automatically tagged part-of-speech categories of all words and rated nouns for lexical measures, and computed the cross-entropy estimation, which is a measure of word predictability. Our automated analysis was a valid reflection of manual scoring. For svPPA patients, we found fewer unique nouns and more pronouns and wh-words than in the other patient groups and the controls; high abstractness, ambiguity, frequency, and familiarity for nouns they produced; and the lowest cross-entropy estimation among the groups. These measures were associated with cortical thinning in the left temporal lobe. In naPPA patients, we found increased speech errors, which were associated with cortical thinning in the left middle frontal gyrus. bvFTD patients were similar to the controls. Our results underline distinct word use profiles in subgroups of PPA patients and validate our automated method of analyzing FTD patients' speech.

show abstract

Connected Speech Features from Picture Description in Alzheimer’s Disease: A Systematic Review

Cited by 83 publications

References 111 publications

Speech and Mild Cognitive Impairment detection

Speech and Mild Cognitive Impairment detection

Neural Correlates of Verb Fluency Performance in Cognitively Healthy Older Adults and Individuals With Dementia: A Pilot fMRI Study

Automated analysis of lexical features in Frontotemporal Degeneration

Contact Info

Product

Resources

About