Bayesian framework for robust seed‐based correlation analysis

• Published in: Medical physics (Lancaster) Vol. 46; no. 7; pp. 3055 - 3066
• Main Authors: Bell, Charreau S., Mohd Khairi, Nazirah, Ding, Zhaohua, Wilkes, Don Mitchell
• Format: Journal Article
• Language: English
• Published: United States John Wiley and Sons Inc 01.07.2019
• Subjects: Bayes Theorem; Bayesian; Brain - diagnostic imaging; correlation analysis; functional connectivity; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging; probabilistic; QUANTITATIVE IMAGING AND IMAGE PROCESSING; Rest; resting‐state fMRI; correlation analysis; functional connectivity; resting-state fMRI; probabilistic; Bayesian

Purpose One popular method of assessing brain functional connectivity (FC) is through seed‐based correlation (SCA) analysis. One drawback of this method is when the seed location is varied slightly, the FC can vary dramatically. We propose a method superior to SCA, robust to variations in seed locat...