Bayesian longitudinal tensor response regression for modeling neuroplasticity

• Published in: Human brain mapping Vol. 44; no. 18; pp. 6326 - 6348
• Main Authors: Kundu, Suprateek, Reinhardt, Alec, Song, Serena, Han, Joo, Meadows, M. Lawson, Crosson, Bruce, Krishnamurthy, Venkatagiri
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 15.12.2023
• Subjects: Aphasia; Bayes Theorem; Bayesian analysis; Bayesian joint credible regions; Brain; Computer Simulation; Functional magnetic resonance imaging; Humans; longitudinal neuroimaging; Markov chains; Medical imaging; Monte Carlo Method; Neuroimaging; Neuronal Plasticity; Neuroplasticity; Regression; Sparsity; Stroke; tensor response regression; Tensors; aphasia; tensor response regression; Bayesian joint credible regions; longitudinal neuroimaging; neuroplasticity

A major interest in longitudinal neuroimaging studies involves investigating voxel‐level neuroplasticity due to treatment and other factors across visits. However, traditional voxel‐wise methods are beset with several pitfalls, which can compromise the accuracy of these approaches. We propose a nove...