Validated automatic speech biomarkers in primary progressive aphasia.

ABSTRACT:

Objective

To automatically extract and quantify specific disease biomarkers of prosody from the acoustic properties of speech in patients with primary progressive aphasia.

Methods

We analyzed speech samples from 59 progressive aphasic patients (non-fluent/agrammatic = 15, semantic = 21, logopenic = 23; ages 50-85 years) and 31 matched healthy controls (ages 54-89 years). Using a novel, automated speech analysis protocol, we extracted acoustic measurements of prosody, including fundamental frequency and speech and silent pause durations, and compared these between groups. We then examined their relationships with clinical tests, gray matter atrophy, and cerebrospinal fluid analytes.

Results

We found a narrowed range of fundamental frequency in patients with non-fluent/

SUBMITTER: Nevler N 

PROVIDER: S-EPMC6331511 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature