Large-scale Probabilistic Functional Modes from resting state fMRI

• Published in: NeuroImage (Orlando, Fla.) Vol. 109; pp. 217 - 231
• Main Authors: Harrison, Samuel J., Woolrich, Mark W., Robinson, Emma C., Glasser, Matthew F., Beckmann, Christian F., Jenkinson, Mark, Smith, Stephen M.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.04.2015; Elsevier Limited; Academic Press
• Subjects: Bayesian analysis; Bayesian modelling; Biomedical research; Brain; Brain - physiology; Brain research; Computer Simulation; Connectome - methods; Fluctuation; Functional parcellation; Human; Humans; ICA; Image Processing, Computer-Assisted; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Medical research; Neurosciences; Probabilistic methods; Probability; Probability theory; Response functions; Resting state fMRI; Signal Processing, Computer-Assisted; Subject variability; Temporal logic; Resting state fMRI; Subject variability; Functional parcellation; Bayesian modelling; ICA

It is well established that it is possible to observe spontaneous, highly structured, fluctuations in human brain activity from functional magnetic resonance imaging (fMRI) when the subject is ‘at rest’. However, characterising this activity in an interpretable manner is still a very open problem. I...