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This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (5318) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3321) Neurology and Neurosciences (396) Depression and Mood Disorders; Suicide Prevention (2514) Cognitive and Neurorehabilitation (445) Diagnostic Tools in Mental Health (453) Mental Health Issues in Elderly Patients and Geriatric Psychiatry (320)

Published on in Vol 5, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24727, first published .
Elderly woman with glasses and floral blouse sitting outdoors

Correlations Between Facial Expressivity and Apathy in Elderly People With Neurocognitive Disorders: Exploratory Study

Correlations Between Facial Expressivity and Apathy in Elderly People With Neurocognitive Disorders: Exploratory Study

Authors of this article:

Radia Zeghari1, 2 Author Orcid Image ;   Alexandra König1, 3 Author Orcid Image ;   Rachid Guerchouche3 Author Orcid Image ;   Garima Sharma4 Author Orcid Image ;   Jyoti Joshi4 Author Orcid Image ;   Roxane Fabre1, 5 Author Orcid Image ;   Philippe Robert1, 2 Author Orcid Image ;   Valeria Manera1, 2 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

  1. Manera V, Galperti G, Rovini E, Zeghari R, Mancioppi G, Fiorini L, Gros A, Mouton A, Robert P, Cavallo F. Grasping Social Apathy: The Role of Reach-To-Grasp Action Kinematics for the Assessment of Social Apathy in Mild Neurocognitive Disorders. Journal of Alzheimer's Disease 2021;81(2):569 View
  2. Ko H, Kim K, Bae M, Seo M, Nam G, Park S, Park S, Ihm J, Lee J. Changes in Computer-Analyzed Facial Expressions with Age. Sensors 2021;21(14):4858 View
  3. Zhou Y, Yao X, Han W, Wang Y, Li Z, Li Y. Distinguishing apathy and depression in older adults with mild cognitive impairment using text, audio, and video based on multiclass classification and shapely additive explanations. International Journal of Geriatric Psychiatry 2022;37(11) View
  4. Alfalahi H, Dias S, Khandoker A, Chaudhuri K, Hadjileontiadis L. A scoping review of neurodegenerative manifestations in explainable digital phenotyping. npj Parkinson's Disease 2023;9(1) View
  5. Yang H, He L, Li W, Zheng Q, Li Y, Zheng X, Zhang J. An automatic detection method for schizophrenia based on abnormal eye movements in reading tasks. Expert Systems with Applications 2024;238:121850 View
  6. Zhou Y, Han W, Yao X, Xue J, Li Z, Li Y. Developing a machine learning model for detecting depression, anxiety, and apathy in older adults with mild cognitive impairment using speech and facial expressions: A cross-sectional observational study. International Journal of Nursing Studies 2023;146:104562 View
  7. Zhou Y, Yao X, Han W, Li Y, Xue J, Li Z. Measurement of neuropsychiatric symptoms in the older adults with mild cognitive impairment based on speech and facial expressions: a cross-sectional observational study. Aging & Mental Health 2024;28(5):828 View
  8. Michelot B, Corneyllie A, Thevenet M, Duffner S, Perrin F. A modular machine learning tool for holistic and fine-grained behavioral analysis. Behavior Research Methods 2024;57(1) View
  9. Ravona‐Springer R, Koren O, Galor N, Lapid M, Bahat Y, Fluss R, Wilf M, Zorani S, Rosenblum U, Beeri M, Plotnik M. A novel method for objective quantification of apathy based on gaze and physiological reactivity to stimuli presented in a virtual reality environment. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2025;17(1) View
  10. Rahmani A, Sarwar T. Artificial Intelligence and Digital Biomarkers for Early Detection and Monitoring of Neurological Disorders: A Narrative Review. Diagnostics 2026;16(17):2799 View
  11. Shin H, Shin M. An AI-Assisted Cognitive Engagement Mobile App for Older Adults: Development and Mixed Methods Usability Study. JMIR Formative Research 2026;10:e103986 View
  12. Yi Z, Zheng X, Wu Y, He L, Li Y. Reading trajectory analysis via multi-task gaze estimation for schizophrenia detection based on facial videos. Biomedical Signal Processing and Control 2027;129:111446 View
  13. Sun W, Xing R, Zhou J, Li Y, Xu G. Facial phenotypes in Alzheimer’s disease: from neurobiology to artificial intelligence. Alzheimer's Research & Therapy 2026;18(1) View

Books/Policy Documents

  1. Ramos-Cuadros A, Santillan L, Ugarte W. Information and Communication Technologies for Ageing Well and e-Health. View

Conference Proceedings

  1. Kolosov D, Georgieva D, Kerry L, McAdam K, Gehrung M, Mporas I. 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). Association of Facial Action Units with Emotions in People Living with Dementia Listening to Music View

Dissertations

  1. . Apathie chez la personne âgée présentant un trouble neurocognitif : associations avec la fatigue, répercussions physiques et impact sur la prise de décision dans le dilemme d'exploration-exploitation. View