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Faria AL, Almeida Y, Branco D, Câmara J, Cameirão M, Ferreira L, Moreira A, Paulino T, Rodrigues P, Spinola M, Vilar M, Bermúdez i Badia S, Simões M, Fermé E. NeuroAIreh@b: an artificial intelligence-based methodology for personalized and adaptive neurorehabilitation. Front Neurol 2024; 14:1258323. [PMID: 38322797 PMCID: PMC10846403 DOI: 10.3389/fneur.2023.1258323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 12/21/2023] [Indexed: 02/08/2024] Open
Abstract
Cognitive impairments are a prevalent consequence of acquired brain injury, dementia, and age-related cognitive decline, hampering individuals' daily functioning and independence, with significant societal and economic implications. While neurorehabilitation represents a promising avenue for addressing these deficits, traditional rehabilitation approaches face notable limitations. First, they lack adaptability, offering one-size-fits-all solutions that may not effectively meet each patient's unique needs. Furthermore, the resource-intensive nature of these interventions, often confined to clinical settings, poses barriers to widespread, cost-effective, and sustained implementation, resulting in suboptimal outcomes in terms of intervention adaptability, intensity, and duration. In response to these challenges, this paper introduces NeuroAIreh@b, an innovative cognitive profiling and training methodology that uses an AI-driven framework to optimize neurorehabilitation prescription. NeuroAIreh@b effectively bridges the gap between neuropsychological assessment and computational modeling, thereby affording highly personalized and adaptive neurorehabilitation sessions. This approach also leverages virtual reality-based simulations of daily living activities to enhance ecological validity and efficacy. The feasibility of NeuroAIreh@b has already been demonstrated through a clinical study with stroke patients employing a tablet-based intervention. The NeuroAIreh@b methodology holds the potential for efficacy studies in large randomized controlled trials in the future.
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Affiliation(s)
- Ana Lúcia Faria
- Department of Psychology, Faculty of Arts and Humanities, University of Madeira, Funchal, Portugal
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
| | - Yuri Almeida
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Department of Informatics Engineering, Faculty of Exact Sciences and Engineering University of Madeira, Funchal, Portugal
| | - Diogo Branco
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
- Department of Informatics Engineering, Faculty of Exact Sciences and Engineering University of Madeira, Funchal, Portugal
| | - Joana Câmara
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
- Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention, Coimbra, Portugal
| | - Mónica Cameirão
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
- Department of Informatics Engineering, Faculty of Exact Sciences and Engineering University of Madeira, Funchal, Portugal
| | - Luis Ferreira
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Department of Informatics Engineering, Faculty of Exact Sciences and Engineering University of Madeira, Funchal, Portugal
| | - André Moreira
- Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention, Coimbra, Portugal
| | - Teresa Paulino
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
- Department of Informatics Engineering, Faculty of Exact Sciences and Engineering University of Madeira, Funchal, Portugal
| | - Pedro Rodrigues
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
- Department of Informatics Engineering, Faculty of Exact Sciences and Engineering University of Madeira, Funchal, Portugal
| | - Mónica Spinola
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
| | - Manuela Vilar
- Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention, Coimbra, Portugal
| | - Sergi Bermúdez i Badia
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Agência Regional para o Desenvolvimento da Investigação, Tecnologia e Inovação, Funchal, Portugal
- Department of Informatics Engineering, Faculty of Exact Sciences and Engineering University of Madeira, Funchal, Portugal
| | - Mario Simões
- Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal
- Center for Research in Neuropsychology and Cognitive and Behavioral Intervention, Coimbra, Portugal
| | - Eduardo Fermé
- NOVA Laboratory for Computer Science and Informatics, Caparica, Portugal
- Department of Informatics Engineering, Faculty of Exact Sciences and Engineering University of Madeira, Funchal, Portugal
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Baghaei N, Liang HN, Naslund J, Porter R. Games for Mental Health. Games Health J 2022. [DOI: 10.1089/g4h.2022.0199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Nilufar Baghaei
- School of Information Technology and Electrical Engineering, The University of Queensland, St. Lucia, Queensland, Australia
| | - Hai-Ning Liang
- Department of Computing, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - John Naslund
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - Richard Porter
- Department of Psychological Medicine, Otago University, Christchurch, New Zealand
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