المؤلفون: Craig W Ritchie, Saturnino Luz, Sarah Gregory, John Harrison, Alexandra König, Nicklas Linz, Kai Langel, Hannah Pullen

المصدر: BMJ Open, Vol 12, Iss 3 (2022)

مصطلحات موضوعية: Medicine

وصف الملف: electronic resource

العلاقة: https://bmjopen.bmj.com/content/12/3/e052250.fullTest; https://doaj.org/toc/2044-6055Test

الوصول الحر: https://doaj.org/article/31a49e1fe8dc46a583813ab0f1bb8ffdTest

المؤلفون: Philippe Robert, Alexandra König, Radia Zeghari, Rachid Guerchouche, Minh Duc Tran, François Bremond, Nicklas Linz, Hali Lindsay, Kai Langel, Inez Ramakers, Pascale Lemoine, Vincent Bultingaire

المصدر: BMJ Open, Vol 11, Iss 9 (2021)

مصطلحات موضوعية: Medicine

وصف الملف: electronic resource

العلاقة: https://bmjopen.bmj.com/content/11/9/e047083.fullTest; https://doaj.org/toc/2044-6055Test

الوصول الحر: https://doaj.org/article/13f878cad9eb4100bfbbd5566152901aTest

المؤلفون: Sarah Gregory, Nicklas Linz, Alexandra König, Kai Langel, Hannah Pullen, Saturnino Luz, John Harrison, Craig W Ritchie

المساهمون: Spatio-Temporal Activity Recognition Systems (STARS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

المصدر: BMJ Open
BMJ Open, 2022, 12, ⟨10.1136/bmjopen-2021-052250⟩
Gregory, S, Linz, N, König, A, Langel, K, Pullen, H, Luz, S, Harrison, J & Ritchie, C W 2022, ' Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the Phone Assessment (SPeAk) prospective observational study protocol ', BMJ Open, vol. 12, no. 3, pp. e052250 . https://doi.org/10.1136/bmjopen-2021-052250Test

مصطلحات موضوعية: [SCCO]Cognitive science, Observational Studies as Topic, Alzheimer Disease, Artificial Intelligence, Surveys and Questionnaires, Humans, Speech, Cognitive Dysfunction, General Medicine, Middle Aged, Biomarkers, Aged, Randomized Controlled Trials as Topic

الوصف: IntroductionIdentifying cost-effective, non-invasive biomarkers of Alzheimer’s disease (AD) is a clinical and research priority. Speech data are easy to collect, and studies suggest it can identify those with AD. We do not know if speech features can predict AD biomarkers in a preclinical population.Methods and analysisThe Speech on the Phone Assessment (SPeAk) study is a prospective observational study. SPeAk recruits participants aged 50 years and over who have previously completed studies with AD biomarker collection. Participants complete a baseline telephone assessment, including spontaneous speech and cognitive tests. A 3-month visit will repeat the cognitive tests with a conversational artificial intelligence bot. Participants complete acceptability questionnaires after each visit. Participants are randomised to receive their cognitive test results either after each visit or only after they have completed the study. We will combine SPeAK data with AD biomarker data collected in a previous study and analyse for correlations between extracted speech features and AD biomarkers. The outcome of this analysis will inform the development of an algorithm for prediction of AD risk based on speech features.Ethics and disseminationThis study has been approved by the Edinburgh Medical School Research Ethics Committee (REC reference 20-EMREC-007). All participants will provide informed consent before completing any study-related procedures, participants must have capacity to consent to participate in this study. Participants may find the tests, or receiving their scores, causes anxiety or stress. Previous exposure to similar tests may make this more familiar and reduce this anxiety. The study information will include signposting in case of distress. Study results will be disseminated to study participants, presented at conferences and published in a peer reviewed journal. No study participants will be identifiable in the study results.

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce6d50b44ac615958f2bc509c898ccacTest
https://doi.org/10.1136/bmjopen-2021-052250Test