Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study.
Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study.
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DOI:
10.2196/42886
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发表时间:
2022-12-22
影响因子:
7.4
通讯作者:
Lin, Honghuang
中科院分区:
文献类型:
--
作者:
Ding, Huitong;Mandapati, Amiya;Karjadi, Cody;Ang, Ting Fang Alvin;Lu, Sophia;Miao, Xiao;Glass, James;Au, Rhoda;Lin, Honghuang
Human voice has increasingly been recognized as an effective indicator for the detection of cognitive disorders. However, the association of acoustic features with specific cognitive functions and mild cognitive impairment (MCI) has yet to be evaluated in a large community-based population. This study aimed to investigate the association between acoustic features and neuropsychological (NP) tests across multiple cognitive domains and evaluate the added predictive power of acoustic composite scores for the classification of MCI. This study included participants without dementia from the Framingham Heart Study, a large community-based cohort with longitudinal surveillance for incident dementia. For each participant, 65 low-level acoustic descriptors were derived from voice recordings of NP test administration. The associations between individual acoustic descriptors and 18 NP tests were assessed with linear mixed-effect models adjusted for age, sex, and education. Acoustic composite scores were then built by combining acoustic features significantly associated with NP tests. The added prediction power of acoustic composite scores for prevalent and incident MCI was also evaluated. The study included 7874 voice recordings from 4950 participants (age: mean 62, SD 14 years; 4336/7874, 55.07% women), of whom 453 were diagnosed with MCI. In all, 8 NP tests were associated with more than 15 acoustic features after adjusting for multiple testing. Additionally, 4 of the acoustic composite scores were significantly associated with prevalent MCI and 7 were associated with incident MCI. The acoustic composite scores can increase the area under the curve of the baseline model for MCI prediction from 0.712 to 0.755. Multiple acoustic features are significantly associated with NP test performance and MCI, which can potentially be used as digital biomarkers for early cognitive impairment monitoring.
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影响因子:
--
作者:
Lin H;Karjadi C;Ang TFA;Prajakta J;McManus C;Alhanai TW;Glass J;Au R
通讯作者:
Au R
DOI:
10.1076/1380-3395(200008)22:4;1-0;ft518
发表时间:
2000-01-01
影响因子:
2.2
作者:
Arbuthnott, K;Frank, J
通讯作者:
Frank, J
影响因子:
9.9
作者:
Deramecourt, V.;Lebert, F.;Pasquier, F.
通讯作者:
Pasquier, F.
DOI:
10.1109/89.326616
发表时间:
1994-10-01
期刊:
IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
影响因子:
--
作者:
Hermansky, Hynek;Morgan, Nelson
通讯作者:
Morgan, Nelson
DOI:
10.1016/j.jalz.2013.01.013
发表时间:
2014-01
期刊:
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子:
--
作者:
Henriksen K;O'Bryant SE;Hampel H;Trojanowski JQ;Montine TJ;Jeromin A;Blennow K;Lönneborg A;Wyss-Coray T;Soares H;Bazenet C;Sjögren M;Hu W;Lovestone S;Karsdal MA;Weiner MW;Blood-Based Biomarker Interest Group
通讯作者:
Blood-Based Biomarker Interest Group