TY - JOUR
T1 - Cognition Meets Gait: Where and How Mind and Body Weave Each Other in a Computational Psychometrics Approach in Aging
AU - Bruni, F.
AU - Borghesi, F.
AU - Mancuso, V.
AU - Riva, Giuseppe
AU - Stramba-Badiale, M.
AU - Pedroli, E.
AU - Cipresso, P.
PY - 2022
Y1 - 2022
N2 - Aging may be associated with conditions characterized by motor and cognitive alterations, which could have a detrimental impact on daily life. Although motors and cognitive aspects have always been treated as separate entities, recent literature highlights their relationship, stressing a strong association between locomotion and executive functions. Thus, designing interventions targeting the risks deriving from both components’ impairments is crucial: the dual-task represents a starting point. Although its role in targeting and decreasing difficulties in aging is well known, most interventions are focused on a single domain, proposing a vertical model in which patients emerge only for a single aspect per time during assessment and rehabilitation. In this perspective, we propose a view of the individual as a whole between mind and body, suggesting a multicomponent and multidomain approach that could integrate different domains at the same time retracing lifelike situations. Virtual Reality, thanks to the possibility to develop daily environments with engaging challenges for patients, as well as to manage different devices to collect multiple data, provides the optimal scenario in which the integration could occur. Artificial Intelligence, otherwise, offers the best methodologies to integrate a great amount of various data to create a predictive model and identify appropriate and individualized interventions. Based on these assumptions the present perspective aims to propose the development of a new approach to an integrated, multimethod, multidimensional training in order to enhance cognition and physical aspects based on behavioral data, incorporating consolidated technologies in an innovative approach to neurology.
AB - Aging may be associated with conditions characterized by motor and cognitive alterations, which could have a detrimental impact on daily life. Although motors and cognitive aspects have always been treated as separate entities, recent literature highlights their relationship, stressing a strong association between locomotion and executive functions. Thus, designing interventions targeting the risks deriving from both components’ impairments is crucial: the dual-task represents a starting point. Although its role in targeting and decreasing difficulties in aging is well known, most interventions are focused on a single domain, proposing a vertical model in which patients emerge only for a single aspect per time during assessment and rehabilitation. In this perspective, we propose a view of the individual as a whole between mind and body, suggesting a multicomponent and multidomain approach that could integrate different domains at the same time retracing lifelike situations. Virtual Reality, thanks to the possibility to develop daily environments with engaging challenges for patients, as well as to manage different devices to collect multiple data, provides the optimal scenario in which the integration could occur. Artificial Intelligence, otherwise, offers the best methodologies to integrate a great amount of various data to create a predictive model and identify appropriate and individualized interventions. Based on these assumptions the present perspective aims to propose the development of a new approach to an integrated, multimethod, multidimensional training in order to enhance cognition and physical aspects based on behavioral data, incorporating consolidated technologies in an innovative approach to neurology.
KW - aging
KW - artificial intelligence
KW - dual-task
KW - machine learning
KW - neurology
KW - psychometric
KW - rehabilitation
KW - virtual reality
KW - aging
KW - artificial intelligence
KW - dual-task
KW - machine learning
KW - neurology
KW - psychometric
KW - rehabilitation
KW - virtual reality
UR - https://publicatt.unicatt.it/handle/10807/229448
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85134672335&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85134672335&origin=inward
U2 - 10.3389/fnagi.2022.909029
DO - 10.3389/fnagi.2022.909029
M3 - Article
SN - 1663-4365
VL - 14
SP - 909029-N/A
JO - Frontiers in Aging Neuroscience
JF - Frontiers in Aging Neuroscience
IS - N/A
ER -