The primary objective of the study is to evaluate the feasibility of eliciting continuous narrative speech in different neurodegenerative and psychiatric indications, using remote, self-administered speech tasks, as measured by the average length of speech elicitation for each speech task during the first week of self-assessment. Secondary objectives include (1) evaluating the reliability of speech tasks in the remote self-administered setting, as measured by the intra- and inter-subject variance; (2) accessing the adherence of speech tasks in this setting, as measured by the subject average fraction of days during the first week, where at least one task response is submitted; (3) evaluating the feasibility of using speech tasks in the setting of a telemedicine videoconference, as measured by the average length of speech elicited in each group; (4) evaluate whether a set of acoustic and linguistic patterns can detect each indication, compare to either a control group or all other indications, as measured by the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and Cohen's kappa of the relevant binary classifier; (5) evaluating how the performance of such algorithms can be impacted by speaker and environment covariates, as measured by the Kendall rank correlation coefficient of the AUC of each classifier and each of age group, gender and speech-to-reverberation modulation energy ratio.
Study Type
OBSERVATIONAL
Enrollment
172
South London and Maudsley NHS Foundation Trust
London, Greater London, United Kingdom
King's College Hospital NHS Foundation Trust
London, Greater London, United Kingdom
The average length of speech elicitation for each speech task (in seconds) during the first week of self-assessments.
Time frame: One week
The intra-subject variance of length of speech elicitation for each speech task during the first week of self-assessments, as measured by Coefficients of Individual Agreement (CIA).
Time frame: One week
The inter-subject variance of length of speech elicitation for each speech task during the first week of self-assessments, as measured by Coefficients of Individual Agreement (CIA).
Time frame: One week
The subject average fraction of days during the first week of remote, self-assessment, where participants submitted at least one task response.
Time frame: One week
The average length of speech elicitation for each speech task, during the telemedicine video conference.
Time frame: baseline
The AUC of the binary classifier distinguishing between the AD diagnostic groups vs the applicable control group.
Time frame: One month
The AUC of the binary classifier distinguishing between the Dementia with Lewy Bodies (LBD) diagnostic groups vs the applicable control group.
Time frame: One month
The AUC of the binary classifier distinguishing between the PD diagnostic groups vs the applicable control group.
Time frame: One month
The AUC of the binary classifier distinguishing between the MND diagnostic groups vs the applicable control group.
Time frame: One month
The AUC of the binary classifier distinguishing between the Frontotemporal Dementia and Vascular Dementia (FTD/VCI) diagnostic groups vs the applicable control group.
Time frame: One month
The AUC of the binary classifier distinguishing between the MDD diagnostic groups vs the applicable control group.
Time frame: One month
The AUC of the binary classifier distinguishing between the BD diagnostic groups vs the applicable control group.
Time frame: One month
The sensitivity of the binary classifier distinguishing between the AD diagnostic groups vs the applicable control group.
Time frame: One month
The sensitivity of the binary classifier distinguishing between the LBD diagnostic groups vs the applicable control group.
Time frame: One month
The sensitivity of the binary classifier distinguishing between the PD diagnostic groups vs the applicable control group.
Time frame: One month
The sensitivity of the binary classifier distinguishing between the MND diagnostic groups vs the applicable control group.
Time frame: One month
The sensitivity of the binary classifier distinguishing between the FTD/VCI diagnostic groups vs the applicable control group.
Time frame: One month
The sensitivity of the binary classifier distinguishing between the MDD diagnostic groups vs the applicable control group.
Time frame: One month
The sensitivity of the binary classifier distinguishing between the BD diagnostic groups vs the applicable control group.
Time frame: One month
The specificity of the binary classifier distinguishing between the AD diagnostic groups vs the applicable control group.
Time frame: One month
The specificity of the binary classifier distinguishing between the LBD diagnostic groups vs the applicable control group.
Time frame: One month
The specificity of the binary classifier distinguishing between the PD diagnostic groups vs the applicable control group.
Time frame: One month
The specificity of the binary classifier distinguishing between the MND diagnostic groups vs the applicable control group.
Time frame: One month
The specificity of the binary classifier distinguishing between the FTD/VCI diagnostic groups vs the applicable control group.
Time frame: One month
The specificity of the binary classifier distinguishing between the MDD diagnostic groups vs the applicable control group.
Time frame: One month
The specificity of the binary classifier distinguishing between the BD diagnostic groups vs the applicable control group.
Time frame: One month
The Cohen's kappa of the binary classifier distinguishing between the AD diagnostic groups vs the applicable control group.
Time frame: One month
The Cohen's kappa of the binary classifier distinguishing between the LBD diagnostic groups vs the applicable control group.
Time frame: One month
The Cohen's kappa of the binary classifier distinguishing between the PD diagnostic groups vs the applicable control group.
Time frame: One month
The Cohen's kappa of the binary classifier distinguishing between the FTD/VCI diagnostic groups vs the applicable control group.
Time frame: One month
The Cohen's kappa of the binary classifier distinguishing between the MDD diagnostic groups vs the applicable control group.
Time frame: One month
The Cohen's kappa of the binary classifier distinguishing between the BD diagnostic groups vs the applicable control group.
Time frame: One month
The AUC of the binary classifier distinguishing between the following diagnostic groups vs all other diagnostic groups (pooled): AD, LBD, PD, MND, FTD/VCI, MDD, BD.
Time frame: One month
The sensitivity of the binary classifier distinguishing between the following diagnostic groups vs the other groups (pooled): AD, LBD, PD, MND, FTD/VCI, MDD, BD.
Time frame: One month
The specificity of the binary classifier distinguishing between the following diagnostic groups vs the other groups (pooled): AD, LBD, PD, MND, FTD/VCI, MDD, BD.
Time frame: One month
The Cohen's kappa of the binary classifier distinguishing between the following diagnostic groups vs the other groups (pooled): AD, LBD, PD, MND, FTD/VCI, MDD, BD.
Time frame: One month
For each classifier/regressor in the outcomes, the correlation between the AUC/CIA and each age group, gender and speech-to-reverberation modulation energy ratio group, as measured by the Kendall rank correlation coefficient.
Time frame: One month
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.