Keith Jamison

TL;DR: An overview of the common HCP‐D/A imaging protocol including data and rationales for protocol decisions and changes relative to the recently completed HCP Young‐Adult project is provided.

TL;DR: It is shown that when attention was diverted away, rivalry stopped and the EEG data further suggested that the neural representations of the dichoptic images combined without attention, suggesting attention is necessary for dichoptics images to be engaged in sustained rivalry.

TL;DR: Both the group-average and individual-subject results reveal robust signals across much of the brain, including occipital, temporal, parietal, and frontal cortex as well as subcortical areas, and split-half analyses show strong within-subject reliability, further demonstrating the high quality of the data.

TL;DR: It is demonstrated that high resolution images acquired at 7 T provide increased functional contrast to noise ratios with significantly less partial volume effects and more distinct spatial features, potentially allowing for robust individual subject parcellations and descriptions of fine‐scaled patterns, such as visuotopic organization.

TL;DR: An overview of various unsupervised and supervised machine learning applications to resting-state functional Magnetic Resonance Imaging (rs-fMRI) is presented and a methodical taxonomy of machine learning methods in resting- state fMRI is offered.