Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses

Designing individual-specific and trial-specific models to accurately predict the intensity of nociceptive pain from single-trial fMRI responses

Using machine learning to predict the intensity of pain from fMRI has attracted rapidly increasing interests. However, due to remarkable inter- and intra-individual variabilities in pain responses, the performance of existing fMRI-based pain prediction models is far from satisfactory. The present st...

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Bibliographic Details
Main Authors: Qianqian Lin, Gan Huang, Linling Li, Li Zhang, Zhen Liang, Ahmed M. Anter, Zhiguo Zhang
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage
Subjects:
Pain prediction
Individualized prediction
fMRI
Machine learning
Individual difference
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920309915

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http://www.sciencedirect.com/science/article/pii/S1053811920309915

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