A Supervised Machine Learning Approach to Classify Brain Morphology of Professional Visual Artists versus Non-Artists
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants
2.2. Imagery Questionnaire
2.3. Brain Data Collection
2.4. Preprocessing
2.5. Supervised Machine Learning Procedure
3. Results
Additional Analyses
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Grecucci, A.; Rastelli, C.; Bacci, F.; Melcher, D.; De Pisapia, N. A Supervised Machine Learning Approach to Classify Brain Morphology of Professional Visual Artists versus Non-Artists. Sensors 2023, 23, 4199. https://doi.org/10.3390/s23094199
Grecucci A, Rastelli C, Bacci F, Melcher D, De Pisapia N. A Supervised Machine Learning Approach to Classify Brain Morphology of Professional Visual Artists versus Non-Artists. Sensors. 2023; 23(9):4199. https://doi.org/10.3390/s23094199
Chicago/Turabian StyleGrecucci, Alessandro, Clara Rastelli, Francesca Bacci, David Melcher, and Nicola De Pisapia. 2023. "A Supervised Machine Learning Approach to Classify Brain Morphology of Professional Visual Artists versus Non-Artists" Sensors 23, no. 9: 4199. https://doi.org/10.3390/s23094199