Test–retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging

Johannes Töger; Tanner Sorensen; Krishna Somandepalli; Asterios Toutios; Sajan Goud Lingala; Shrikanth Narayanan; Krishna Nayak

doi:10.1121/1.4983081

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Test–retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging

Journal article

Open access

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Test–retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging

Johannes Töger, Tanner Sorensen, Krishna Somandepalli, Asterios Toutios, Sajan Goud Lingala, Shrikanth Narayanan and Krishna Nayak

The Journal of the Acoustical Society of America, Vol.141(5), pp.3323-3336

05/2017

DOI: 10.1121/1.4983081

PMCID: PMC5436977

PMID: 28599561

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Abstract

Static anatomical and real-time dynamic magnetic resonance imaging (RT-MRI) of the upper airway is a valuable method for studying speech production in research and clinical settings. The test–retest repeatability of quantitative imaging biomarkers is an important parameter, since it limits the effect sizes and intragroup differences that can be studied. Therefore, this study aims to present a framework for determining the test–retest repeatability of quantitative speech biomarkers from static MRI and RT-MRI, and apply the framework to healthy volunteers. Subjects (n = 8, 4 females, 4 males) are imaged in two scans on the same day, including static images and dynamic RT-MRI of speech tasks. The inter-study agreement is quantified using intraclass correlation coefficient (ICC) and mean within-subject standard deviation (σe). Inter-study agreement is strong to very strong for static measures (ICC: min/median/max 0.71/0.89/0.98, σe: 0.90/2.20/6.72 mm), poor to strong for dynamic RT-MRI measures of articulator motion range (ICC: 0.26/0.75/0.90, σe: 1.6/2.5/3.6 mm), and poor to very strong for velocities (ICC: 0.21/0.56/0.93, σe: 2.2/4.4/16.7 cm/s). In conclusion, this study characterizes repeatability of static and dynamic MRI-derived speech biomarkers using state-of-the-art imaging. The introduced framework can be used to guide future development of speech biomarkers. Test–retest MRI data are provided free for research use.

Details

Title: Subtitle: Test–retest repeatability of human speech biomarkers from static and real-time dynamic magnetic resonance imaging
Creators: Johannes Töger - University of Southern California
Tanner Sorensen - University of Southern California
Krishna Somandepalli - University of Southern California
Asterios Toutios - University of Southern California
Sajan Goud Lingala - University of Southern California
Shrikanth Narayanan - University of Southern California
Krishna Nayak - University of Southern California
Resource Type: Journal article
Publication Details: The Journal of the Acoustical Society of America, Vol.141(5), pp.3323-3336
DOI: 10.1121/1.4983081
PMID: 28599561
PMCID: PMC5436977
NLM abbreviation: J Acoust Soc Am
ISSN: 0001-4966
eISSN: 1520-8524
Publisher: American Institute of Physics
Number of pages: 14
Grant note: Wellcome Trust (http://dx.doi.org/10.13039/100004440)
Language: English
Date published: 05/2017
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology
Record Identifier: 9984196995502771

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