1. Detecting Apathy in Older Adults with Cognitive Disorders Using Automatic Speech Analysis
- Author
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Linz, Nicklas, Klinge, Xenia, Tröger, Johannes, Alexandersson, Jan, Manera, Valeria, Abrahams, Sharon, Agüera-Ortiz, Luis, Bremond, François, David, Renaud, Fairchild, Kaci, Gros, Auriane, Hanon, Cécile, Husain, Masud, König, Alexandra, Lockwood, Patricia, Pino, Maribel, Radakovic, Ratko, Robert, Gabriel, Slachevsky, Andrea, Stella, Florindo, Tribouillard, Anaïs, Trimarchi, Pietro Davide, Verhey, Frans, Yesavage, Jerome, Zeghari, Radia, Philippe, Robert, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH = German Research Center for Artificial Intelligence (DFKI), Department of Psychiatry and Behavioral Sciences [Stanford], Stanford University [Stanford], School of Philosophy, Psychology and Language Sciences [Edinburgh] (SA), University of Edinburgh, Hospital Universitario 12 de Octubre [Madrid], Perception Understanding Learning Systems for Activity Recognition (PULSAR), 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), Psychiatry, Stanford University School of Medicine [CA, USA], Cognition Behaviour Technology (CobTek), Université Côte d'Azur (UCA)-Institut Claude Pompidou [Nice] (ICP - Nice)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice), Hôpital Corentin Celton [Issy-les-Moulineaux], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpitaux Universitaires Paris Ouest - Hôpitaux Universitaires Île de France Ouest (HUPO), Nuffield Department of Clinical Neurosciences [Oxford], University of Oxford [Oxford], Spatio-Temporal Activity Recognition Systems (STARS), AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Comportement et noyaux gris centraux = Behavior and Basal Ganglia [Rennes], Institut des Neurosciences Cliniques de Rennes (INCR)-CHU Pontchaillou [Rennes]-Université européenne de Bretagne - European University of Brittany (UEB)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Universidad de Santiago de Chile [Santiago] (USACH), University of Campinas (UNICAMP), Fondazione Don Carlo Gnocchi, School for Mental Health and Neuroscience - Alzheimer Center Limburg (MUMC), Maastricht University [Maastricht], Palo Alto Veterans Affairs Health care System, ANR: 15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou [Nice] (ICP - Nice)-Université Côte d'Azur (UCA), Institut National de Recherche en Informatique et en Automatique (Inria), ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), and Université Nice Sophia Antipolis (1965 - 2019) (UNS)
- Subjects
Male ,0301 basic medicine ,medicine.medical_specialty ,assessment ,Apathy ,Audiology ,Paralanguage ,Voice analysis ,[SCCO]Cognitive science ,03 medical and health sciences ,0302 clinical medicine ,Speech Production Measurement ,medicine ,Humans ,Speech ,Dementia ,Prosody ,ComputingMilieux_MISCELLANEOUS ,Aged ,MESH: Voice analysis ,Environmental Biomarkers ,MESH: Machine Learning ,General Neuroscience ,speech analysis ,MESH: Assessment ,MESH: Speech Analysis ,Cognition ,General Medicine ,MESH: Apathy ,medicine.disease ,MESH: Neuropsychiatric Symptoms ,voice analysis ,Psychiatry and Mental health ,Clinical Psychology ,machine learning ,030104 developmental biology ,Formant ,Female ,neuropsychiatric symptoms ,Geriatrics and Gerontology ,medicine.symptom ,Cognition Disorders ,Psychology ,Neurocognitive ,030217 neurology & neurosurgery - Abstract
International audience; Background: Apathy is present in several psychiatric and neurological conditions and has been found to have a severe negative effect on disease progression. In older people, it can be a predictor of increased dementia risk. Current assessment methods lack objectivity and sensitivity, thus new diagnostic tools and broad-scale screening technologies are needed. Objective: This study is the first of its kind aiming to investigate whether automatic speech analysis could be used for characterization and detection of apathy. Methods: A group of apathetic and non-apathetic patients (n = 60) with mild to moderate neurocognitive disorder were recorded while performing two short narrative speech tasks. Paralinguistic markers relating to prosodic, formant, source, and temporal qualities of speech were automatically extracted, examined between the groups and compared to baseline assessments. Machine learning experiments were carried out to validate the diagnostic power of extracted markers.Results: Correlations between apathy sub-scales and features revealed a relation between temporal aspects of speech and the subdomains of reduction in interest and initiative, as well as between prosody features and the affective domain. Group differences were found to vary for males and females, depending on the task. Differences in temporal aspects of speech were found to be the most consistent difference between apathetic and non-apathetic patients. Machine learning models trained on speech features achieved top performances of AUC = 0.88 for males and AUC = 0.77 for females. Conclusions: These findings reinforce the usability of speech as a reliable biomarker in the detection and assessment of apathy.
- Published
- 2019