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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. J Alzheimers Dis 2021; 81:569-582. [PMID: 33814424 DOI: 10.3233/jad-200966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Social apathy, a reduction in initiative in proposing or engaging in social activities or interactions, is common in mild neurocognitive disorders (MND). Current apathy assessment relies on self-reports or clinical scales, but growing attention is devoted to defining more objective, measurable and non-invasive apathy proxies. OBJECTIVE In the present study we investigated the interest of recording action kinematics in a social reach-to-grasp task for the assessment of social apathy. METHODS Thirty participants took part in the study: 11 healthy controls (HC; 6 females, mean age = 68.3±10.5 years) and 19 subjects with MND (13 females, mean age = 75.7±6.3 years). Based on the Diagnostic Criteria for Apathy, MND subjects were classified as socially apathetic (A-MND, N = 9) versus non-apathetic (NA-MND, N = 10). SensRing, a ring-shaped wearable sensor, was placed on their index finger, and subjects were asked to reach and grasp a can to place it into a cup (individual condition) and pass it to a partner (social condition). RESULTS In the reach-to-grasp phase of the action, HC and NA-MND showed different acceleration and velocity profiles in the social versus individual condition. No differences were found for A-MND. CONCLUSION Previous studies showed the interest of recording patients' level of weekly motor activity for apathy assessment. Here we showed that a 10-min reach-to-grasp task may provide information to differentiate socially apathetic and non-apathetic subjects with MND, thus providing a tool easily usable in the clinical practice. Future studies with a bigger sample are needed to better characterize these findings.
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Affiliation(s)
- Valeria Manera
- CoBTeK Laboratory, Université Cote d'Azur, Nice, France.,IA Association, Nice, France
| | - Guenda Galperti
- BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.,Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Erika Rovini
- BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.,Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Radia Zeghari
- CoBTeK Laboratory, Université Cote d'Azur, Nice, France.,IA Association, Nice, France
| | - Gianmaria Mancioppi
- BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.,Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Laura Fiorini
- Department of Industrial Engineering, University of Florence, Florence, Italy
| | - Auriane Gros
- CoBTeK Laboratory, Université Cote d'Azur, Nice, France.,IA Association, Nice, France.,Department of Speech Therapy,Université Cote d'Azur, Nice, France
| | - Aurélie Mouton
- CoBTeK Laboratory, Université Cote d'Azur, Nice, France.,IA Association, Nice, France.,Centre Mémoire de Ressources et de Recherche, Nice University Hospital, Nice, France
| | - Philippe Robert
- CoBTeK Laboratory, Université Cote d'Azur, Nice, France.,IA Association, Nice, France.,Centre Mémoire de Ressources et de Recherche, Nice University Hospital, Nice, France
| | - Filippo Cavallo
- Department of Industrial Engineering, University of Florence, Florence, Italy.,BioRobotics Institute, Scuola Superiore Sant'Anna, Pontedera, Italy.,Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna, Pisa, Italy
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