Linguistic features identify MS-related early cognitive impairemt in narrative
speech
Poster presented at MSMIlan2023 – 9th Joint ECTRIMS-ACTRIMS Meeting
11-13 October 2023, Milan, Italy
Poster presented at MSMIlan2023 – 9th Joint ECTRIMS-ACTRIMS Meeting
11-13 October 2023, Milan, Italy
Poster presented at the 16th Clinical Trials on Alzheimer’s Disease conference (CTAD). Boston, 2023.
Poster presented at the 16th Clinical Trials on Alzheimer’s Disease conference (CTAD). Boston, 2023.
Poster presented at the International Congress of Parkinson’s Disease and Movement Disorders. Copenhagen, 2023.
Ruhmel, Stephen, Johannes Tröger, Nicklas Linz, Janna Hermann, Mary Quiceno, and Kai Langel. Poster presented at the 15th Conference Clinical Trials Alzheimer’s Disease.
Automatic analysis of vocal tasks such as semantic verbal fluency
and storytelling could be a fast solution for supporting early
characterization of patients.
The ki:e SB-C is a reliable score for cognition, showing convergent validity with the MMSE and separating well between MCI and SCD populations.
SB-C can detect probable MCI patients in representative population sample of older people using a speech biomarker read-out.
PROSPECT-AD aims to validate speech biomarkers for identification of individuals with early signs of AD and monitor their longitudinal course through access to well-phenotyped cohort.
Study on the (additional) value of automatically derived speech and linguistic features of the
SVF task in the early diagnosis of cognitive impairments.