Speech biomarkers of risk factors for vascular dementia in people with mild cognitive impairment

Martínez-Nicolás, Israel; Llorente, Thide E.; Martínez‐Sánchez, Francisco; Meilán, Juan José García

doi:10.3389/fnhum.2022.1057578

Cited by 3 publications

(3 citation statements)

References 45 publications

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“… 72 Speech analysis has been used to identify distinctive speech patterns in those at risk for vascular dementia. 73 The measures listed in Table 2 have been implicated as clinical features differentiating healthy controls from individuals experiencing a range of prominent neurodegenerative diseases. 74 Further research is needed outside of AD/D‐specific settings to identify how these measures could be used to differentiate between AD/D and other common neurodegenerative diseases, as passive collection of granular digital data over extended follow‐up is expected to allow for analytics that could improve the sensitivity of diagnoses.…”

Section: Discussionmentioning

confidence: 99%

Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research

Popp,

Low,

Igwe

et al. 2024

JAHA

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Most research using digital technologies builds on existing methods for staff‐administered evaluation, requiring a large investment of time, effort, and resources. Widespread use of personal mobile devices provides opportunities for continuous health monitoring without active participant engagement. Home‐based sensors show promise in evaluating behavioral features in near real time. Digital technologies across these methodologies can detect precise measures of cognition, mood, sleep, gait, speech, motor activity, behavior patterns, and additional features relevant to health. As a neurodegenerative condition with insidious onset, Alzheimer disease and other dementias (AD/D) represent a key target for advances in monitoring disease symptoms. Studies to date evaluating the predictive power of digital measures use inconsistent approaches to characterize these measures. Comparison between different digital collection methods supports the use of passive collection methods in settings in which active participant engagement approaches are not feasible. Additional studies that analyze how digital measures across multiple data streams can together improve prediction of cognitive impairment and early‐stage AD are needed. Given the long timeline of progression from normal to diagnosis, digital monitoring will more easily make extended longitudinal follow‐up possible. Through the American Heart Association–funded Strategically Focused Research Network, the Boston University investigative team deployed a platform involving a wide range of technologies to address these gaps in research practice. Much more research is needed to thoroughly evaluate limitations of passive monitoring. Multidisciplinary collaborations are needed to establish legal and ethical frameworks for ensuring passive monitoring can be conducted at scale while protecting privacy and security, especially in vulnerable populations.

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Section: Discussionmentioning

confidence: 99%

Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research

Popp,

Low,

Igwe

et al. 2024

JAHA

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“…Prosody is one of the most commonly studied markers in the research of patients with neurodegenerative diseases (Martínez-Nicolás et al, 2021). Features such as pauses, accents, and speech rates have been used to distinguish between clinically defined groups (Gabani et al, 2009).…”

Section: Prosodic Featuresmentioning

confidence: 99%

Older adults’ refusal speech act in cognitive assessment: A multimodal pragmatic perspective

Huang

Zhou

2023

Front. Psychol.

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This paper explores how older adults with different cognitive abilities perform the refusal speech act in the cognitive assessment in the setting of memory clinics. The refusal speech act and its corresponding illocutionary force produced by nine Chinese older adults in the Montreal Cognitive Assessment-Basic was annotated and analyzed from a multimodal perspective. Overall, regardless of the older adults’ cognitive ability, the most common discursive device to refuse is the demonstration of their inability to carry out or continue the cognitive task. Individuals with lower cognitive ability were found to perform the refusal illocutionary force (hereafter RIF) with higher frequency and degree. Additionally, under the pragmatic compensation mechanism, which is influenced by cognitive ability, multiple expression devices (including prosodic features and non-verbal acts) interact dynamically and synergistically to help older adults carry out the refusal behavior and to unfold older adults’ intentional state and emotion as well. The findings indicate that both the degree and the frequency of performing the refusal speech act in the cognitive assessment are related to the cognitive ability of older adults.

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“…Speech and language impairments are a prominent symptom in many neurodegenerative diseases including Alzheimer's Disease (AD), Frontotemporal Dementia (FTD) and Vascular Dementia (VD) (1)(2)(3)(4)(5). These changes emerge along with the primary set of symptoms such as memory deficits and unusual behaviors associated with each neurodegenerative disease.…”

Section: Introductionmentioning

confidence: 99%

Linguistic changes in neurodegenerative diseases relate to clinical symptoms

Gumus,

Koo,

Studzinski

et al. 2024

Front. Neurol.

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BackgroundThe detection and characterization of speech changes may help in the identification and monitoring of neurodegenerative diseases. However, there is limited research validating the relationship between speech changes and clinical symptoms across a wide range of neurodegenerative diseases.MethodWe analyzed speech recordings from 109 patients who were diagnosed with various neurodegenerative diseases, including Alzheimer’s disease, Frontotemporal Dementia, and Vascular Cognitive Impairment, in a cognitive neurology memory clinic. Speech recordings of an open-ended picture description task were processed using the Winterlight speech analysis platform which generates >500 speech features, including the acoustics of speech and linguistic properties of spoken language. We investigated the relationship between the speech features and clinical assessments including the Mini Mental State Examination (MMSE), Mattis Dementia Rating Scale (DRS), Western Aphasia Battery (WAB), and Boston Naming Task (BNT) in a heterogeneous patient population.ResultLinguistic features including lexical and syntactic features were significantly correlated with clinical assessments in patients, across diagnoses. Lower MMSE and DRS scores were associated with the use of shorter words and fewer prepositional phrases. Increased impairment on WAB and BNT was correlated with the use of fewer nouns but more pronouns. Patients also differed from healthy adults as their speech duration was significantly shorter with more pauses.ConclusionLinguistic changes such as the use of simpler vocabularies and syntax were detectable in patients with different neurodegenerative diseases and correlated with cognitive decline. Speech has the potential to be a sensitive measure for detecting cognitive impairments across various neurodegenerative diseases.

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Speech biomarkers of risk factors for vascular dementia in people with mild cognitive impairment

Cited by 3 publications

References 45 publications

Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research

Shifting From Active to Passive Monitoring of Alzheimer Disease: The State of the Research

Older adults’ refusal speech act in cognitive assessment: A multimodal pragmatic perspective

Linguistic changes in neurodegenerative diseases relate to clinical symptoms

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