The joint effects of audio and linguistic markers for early identification of mild cognitive impairment

Early identification of mild cognitive impairment (MCI) in Parkinson’s disease (PD) patients can lessen emotional and physical complications. In this study, a cognitive functional (CF) feature using cognitive and daily living items of the Unified Parkinson’s Disease Rating Scale served to define PD patients as suspected or not for MCI. The study aimed to compare objective handwriting performance measures with the perceived general functional abilities (PGF) of both groups, analyze correlations between handwriting performance measures and PGF for each group, and find out whether participants’ general functional abilities, depression levels, and digitized handwriting measures predicted this CF feature. Seventy-eight participants diagnosed with PD by a neurologist (25 suspected for MCI based on the CF feature) completed the PGF as part of the Daily Living Questionnaire and wrote on a digitizer-affixed paper in the Computerized Penmanship Handwriting Evaluation Test. Results indicated significant group differences in PGF scores and handwriting stroke width, and significant medium correlations between PGF score, pen-stroke width, and the CF feature. Regression analyses indicated that PGF scores and mean stroke width accounted for 28% of the CF feature variance above age. Nuances of perceived daily functional abilities validated by objective measures may contribute to the early identification of suspected PD-MCI.

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Central Auditory Processing Tests as Diagnostic Tools for the Early Identification of Elderly Individuals with Mild Cognitive Impairment

Journal of Audiology & Otology ◽

10.7874/jao.2018.00283 ◽

2019 ◽

Vol 23 (2) ◽

pp. 83-88 ◽

Cited By ~ 1

Author(s):

Bahram Jalaei ◽

Ayub Valadbeigi ◽

Rasool Panahi ◽

Morteza Hamidi Nahrani ◽

Hossein Namvar Arefi ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Auditory Processing ◽

Early Identification ◽

Diagnostic Tools ◽

Central Auditory Processing ◽

Elderly Individuals

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What are the Methods for Diagnosing MCI?

Perspectives on Neurophysiology and Neurogenic Speech and Language Disorders ◽

10.1044/nnsld23.1.14 ◽

2013 ◽

Vol 23 (1) ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Sarah Key-DeLyria

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Diagnostic Criteria ◽

Cognitive Dysfunction ◽

Early Identification ◽

Speech Language Pathologists ◽

Detailed Characterization ◽

Unique Position ◽

Speech Language Pathologist

Speech-language pathologists will be increasingly called upon to screen for, identify, and assess mild cognitive impairment (MCI) as the population ages. The diagnosis of MCI involves several professionals and requires an evaluation of normal and abnormal cognition and cognitive-communication, which a speech-language pathologist is in a unique position to provide. The general diagnostic criteria for MCI diagnosis are largely agreed upon at this point in time, and subtypes of MCI are receiving increasing attention. Early identification of MCI and detailed characterization of functioning will be more important as therapy targeting prevention of dementia and early cognitive dysfunction is developed. Speech-language pathologists should have a working knowledge of the diagnostic criteria and currently accepted subtypes in order to serve this population.

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Diffusion tensor imaging based white matter changes and antioxidant enzymes status for early identification of mild cognitive impairment

International Journal of Neuroscience ◽

10.1080/00207454.2018.1521401 ◽

2019 ◽

Vol 129 (3) ◽

pp. 209-216

Author(s):

Abhai Kumar ◽

Smita Singh ◽

Anup Singh ◽

Ashish Verma ◽

Vijay Nath Mishra

Keyword(s):

Antioxidant Enzymes ◽

Cognitive Impairment ◽

Diffusion Tensor Imaging ◽

Mild Cognitive Impairment ◽

White Matter ◽

Early Identification ◽

Diffusion Tensor ◽

White Matter Changes

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Syntactic Complexity as a Linguistic Marker to Differentiate Mild Cognitive Impairment From Normal Aging

Journal of Speech Language and Hearing Research ◽

10.1044/2020_jslhr-19-00335 ◽

2020 ◽

Vol 63 (5) ◽

pp. 1416-1429

Author(s):

Jee Eun Sung ◽

Sujin Choi ◽

Bora Eom ◽

Jae Keun Yoo ◽

Jee Hyang Jeong

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Sentence Processing ◽

Sentence Comprehension ◽

Normal Aging ◽

Syntactic Complexity ◽

Linguistic Complexity ◽

Linguistic Markers ◽

Aging Populations ◽

Education Effects

Purpose In this study, we sought to identify critical linguistic markers that can differentiate sentence processing of individuals with mild cognitive impairment (MCI) from the sentence processing of normal-aging populations by manipulating sentences' linguistic complexity. We investigated whether passive sentences, as linguistically complex structures, can serve as linguistic markers that can contribute to diagnoses that distinguish MCI from normal aging. Method In total, 52 participants, including 26 adults with amnestic MCI and 26 cognitively unimpaired adults, participated in the study. All participants were native speakers of Korean. We administered the two subsets of active and passive conditions using a sentence–picture paradigm with semantically reversible sentences to both groups. Results A mixed-effects model using PROC NLMIXED demonstrated that the MCI group exhibited differentially greater difficulty in processing passive than active sentences compared to the normal-aging group. A logistic regression fitted with the PROC LOGISTIC model identified the sum of the passive sentences, with age and education effects as the best models to distinguish individuals with MCI from the normal-aging group. Conclusion Sentence comprehension deficits emerged in the MCI stage when the syntactic complexity was increased. Furthermore, a passive structure was the best predictor for efficiently distinguishing the MCI group from the normal-aging group. These results are clinically and theoretically important, given that linguistic complexity can serve as a critical behavioral marker in the detection of early symptoms associated with linguistic–cognitive decline.

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