Voice biomarkers as indicators of cognitive changes in middle and later adulthood

被引：13

作者：

Mahon, Elizabeth ^{[1
,2
]}

Lachman, Margie E. ^{[1
]}

机构：

[1] Brandeis Univ, Dept Psychol, Waltham, MA USA

[2] Brandeis Univ, Dept Psychol, Lifespan Lab, Brown Bldg 102,415 South St, Waltham, MA 02453 USA

来源：

NEUROBIOLOGY OF AGING | 2022年 / 119卷

关键词：

Middle age; Cognitive performance; Voice prosody; Aging biomarkers; Cognitive change; ALZHEIMERS ASSOCIATION WORKGROUPS; DIAGNOSTIC GUIDELINES; PARKINSONS-DISEASE; NATIONAL INSTITUTE; PRECLINICAL PHASE; IMPAIRMENT; DEMENTIA; SPEECH; AGE; PERFORMANCE;

D O I：

10.1016/j.neurobiolaging.2022.06.010

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

摘要：

Voice prosody measures have been linked with Alzheimer's disease (AD), but it is unclear whether they are associated with normal cognitive aging. We assessed relationships between voice measures and 10 -year cognitive changes in the MIDUS national sample of middle-aged and older adults ages 42-92, with a mean age of 64.09 (standard deviation = 11.23) at the second wave. Seven cognitive tests were as-sessed in 20 03-20 04 (Wave 2) and 2013-2014 (Wave 3). Voice measures were collected at Wave 3 (N = 2585) from audio recordings of the cognitive interviews. Analyses controlled for age, education, de-pressive symptoms, and health. As predicted, higher jitter was associated with greater declines in episodic memory, verbal fluency, and attention switching. Lower pulse was related to greater decline in episodic memory, and fewer voice breaks were related to greater declines in episodic memory and verbal fluency, although the direction of these effects was contrary to hypotheses. Findings suggest that voice biomarkers may offer a promising approach for early detection of risk factors for cognitive impairment or AD.(c) 2022 Elsevier Inc. All rights reserved.

引用

页码：22 / 35

页数：14

共 136 条

[11] Association between cardiac autonomic control and cognitive performance among patients post stroke and age-matched healthy controls-an exploratory pilot study [J].

Beer, Noa Raphaely ;

Soroker, Nachum ;

Bornstein, Nathan M. ;

Leurer, Michal Katz .

NEUROLOGICAL SCIENCES, 2017, 38 (11) :2037-2043

[12] Speech Analysis by Natural Language Processing Techniques: A Possible Tool for Very Early Detection of Cognitive Decline? [J].

Beltrami, Daniela ;

Gagliardi, Gloria ;

Favretti, Rema Rossini ;

Ghidoni, Enrico ;

Tamburini, Fabio ;

Calza, Laura .

FRONTIERS IN AGING NEUROSCIENCE, 2018, 10

[13] Neural mechanisms of ageing and cognitive decline [J].

Bishop, Nicholas A. ;

Lu, Tao ;

Yankner, Bruce A. .

NATURE, 2010, 464 (7288) :529-535

[14] Incipient Alzheimer's disease: Microarray correlation analyses reveal major transcriptional and tumor suppressor responses [J].

Blalock, EM ;

Geddes, JW ;

Chen, KC ;

Porter, NM ;

Markesbery, WR ;

Landfield, PW .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (07) :2173-2178

[15]

Boersma P., 2021, Praat: Doing phonetics by computer

[16]

Bolger N., 2013, Methodology in the Social Sciences

[17] Neuropsychological function and Apolipoprotein E genotype in the preclinical detection of Alzheimer's disease [J].

Bondi, MW ;

Salmon, DP ;

Galasko, D ;

Thomas, RG ;

Thal, LJ .

PSYCHOLOGY AND AGING, 1999, 14 (02) :295-303

[18]

Brim OG, 2004, MAC FDN MEN, P1

[19] MRI predictors of cognitive change in a diverse and carefully characterized elderly population [J].

Carmichael, Owen ;

Mungas, Dan ;

Beckett, Laurel ;

Harvey, Danielle ;

Farias, Sarah Tomaszewski ;

Reed, Bruce ;

Olichney, John ;

Miller, Joshua ;

DeCarli, Charles .

NEUROBIOLOGY OF AGING, 2012, 33 (01) :83-U611

[20] Patterns of cognitive decline in presymptomatic Alzheimer disease - A prospective community study [J].

Chen, PJ ;

Ratcliff, G ;

Belle, SH ;

Cauley, JA ;

DeKosky, ST ;

Ganguli, M .

ARCHIVES OF GENERAL PSYCHIATRY, 2001, 58 (09) :853-858

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