Landscape Design and Neuroscience Cooperation: Contributions to the Non-pharmacological Treatment of Alzheimer’s Disease

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Abstract

Research studies on neuroplasticity suggest that architecture and design have the potential capacity to alter the brain structure and its functions. With regard to constructed healing spaces, the landscape design project acts as a key feature in clinics that treat patients with Alzheimer’s disease. The relationship between the patients and nature is essential because living in a green area has a number of positive effects such as the following: adjustment of the patients to their circadian rhythm; an increase in the production of Vitamin D; basic notions of time; better quality air and a wide range of stimuli. Thus the landscape and architectural features of a green environment play a key role in the sensorimotor and cognitive stimulation of the patients. Against this background, this paper seeks to investigate how there can be the collaboration between the area of landscaping and neuroscience, especially with regard to a comprehensive list of recommendations involving therapeutic design gardens, with a view to offering non-pharmacological treatment to patients suffering from Alzheimer’s disease. The 38 proposed recommendations that were set out, are based on a review of the literature and a research field carried out in the wards of a center for elderly people requiring care called ‘Recanto Monsenhor Albino’ [Monsignor Albino’s Rest Home], located in the town of Catanduva (Sao Paulo – Brazil). The main benefits that can be highlighted include the set of guidelines for the project, together with an analysis of therapeutic gardens and the quality of life and well being of the people in this environment.

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APA

Zuanon, R., & Cardoso de Faria, B. A. (2018). Landscape Design and Neuroscience Cooperation: Contributions to the Non-pharmacological Treatment of Alzheimer’s Disease. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10917 LNCS, pp. 353–374). Springer Verlag. https://doi.org/10.1007/978-3-319-91397-1_29

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