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Clinical Feasibility of Speech Phenotyping for Remote Assessment of Neurodegenerative and Psychiatric Disorders (RHAPSODY): a study protocol

Published online by Cambridge University Press:  01 September 2022

R. Taylor ,
E. Hampsey ,
M. Mészáros ,
C. Skirrow ,
R. Strawbridge ,
L. Chok ,
D. Aarsland ,
A. Al-Chalabi ,
K.R. Chaudhuri  and
J. Weston
...Show all authors
R. Taylor*
Affiliation:
King’s College London, Institute Of Psychiatry, Psychology, & Neuroscience, London, United Kingdom
E. Hampsey
Affiliation:
King’s College London, Institute Of Psychiatry, Psychology, & Neuroscience, London, United Kingdom
M. Mészáros
Affiliation:
Novoic Limited, Novoic Limited, London, United Kingdom
C. Skirrow
Affiliation:
Novoic Limited, Novoic Limited, London, United Kingdom
R. Strawbridge
Affiliation:
King’s College London, Institute Of Psychiatry, Psychology, & Neuroscience, London, United Kingdom
L. Chok
Affiliation:
Novoic Limited, Novoic Limited, London, United Kingdom
D. Aarsland
Affiliation:
King’s College London, Institute Of Psychiatry, Psychology, & Neuroscience, London, United Kingdom
A. Al-Chalabi
Affiliation:
King’s College London, Institute Of Psychiatry, Psychology, & Neuroscience, London, United Kingdom
K.R. Chaudhuri
Affiliation:
King’s College London, Institute Of Psychiatry, Psychology, & Neuroscience, London, United Kingdom Kings College Hospital and Kings College, Parkinson Foundation International Centre Of Excellence, London, United Kingdom
J. Weston
Affiliation:
Novoic Limited, Novoic Limited, London, United Kingdom
E. Fristed
Affiliation:
Novoic Limited, Novoic Limited, London, United Kingdom
A. Young
Affiliation:
King’s College London, Institute Of Psychiatry, Psychology, & Neuroscience, London, United Kingdom
O. Awogbemila
Affiliation:
Kings College Hospital and Kings College, Parkinson Foundation International Centre Of Excellence, London, United Kingdom
*
*Corresponding author.

Abstract

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Introduction

The diagnosis of neurodegenerative and psychiatric disorders (NPDs) in primary care can suffer from inefficiencies resulting in misdiagnoses and delayed diagnosis, limiting effective treatment options. The development of speech and language-based profiling biomarkers could aid in achieving earlier motor diagnosis for PD for instance, or more accurate diagnosis of clinically similar or late presenting NPDs.

Objectives

RHAPSODY aims to investigate the feasibility of the remote administration of a battery of speech tasks in eliciting continuous narrative speech across a range of NPDs. The project also aims to determine the feasibility of using acoustic and linguistic biomarkers from speech data to support the clinical assessment and disambiguation of common NPDs

Methods

All participants (n=250) will take part in a single virtual telemedicine video conference with a researcher in which they are screened and complete a battery of speech tasks, in addition to cohort-specific screening measures. Over the following month, participants will be asked to complete a series of short, self-administered speech assessments via a smartphone application.

Results

The speech tasks will be audio-recorded and analysed on Novoic’s technology platform. Objectives will be analysed using measures including average length of speech elicitation for speech tasks, intra- and inter-subject variance, differences in linguistic patterns, and response rates to speech assessments.

Conclusions

The analyses could help to identify and validate speech-derived clinical biomarkers to support clinicians in detecting and disambiguating between NPDs with heterogeneous presentations. This should further support earlier intervention, improved treatment options and improved quality of life.

Disclosure

In terms of significant financial interest and relationships, it is emphasised that the private organisation Novoic, who aim to develop speech algorithms for diagnostic use, is the study’s sponsor and employees or former employees of this company comprise

Keywords

Speechaffective disordersNeurodegenerative DisordersArtificial intelligence
Type
Abstract
Information
European Psychiatry , Volume 65 , Special Issue S1: Abstracts of the 30th European Congress of Psychiatry , June 2022 , pp. S163
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of the European Psychiatric Association
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