Anish Mitra

TL;DR: It is found that motion-induced signal changes are often complex and variable waveforms, often shared across nearly all brain voxels, and often persist more than 10s after motion ceases, which increase observed RSFC correlations in a distance-dependent manner.

TL;DR: It is confirmed that imposed task states can alter the correlation structure of BOLD activity, and it is found that observations of "dynamic" BOLD correlations during the resting state are largely explained by sampling variability.

TL;DR: This work finds that a surprising number of behavioral, demographic, and physiological measures, including fluid intelligence, reading ability, weight, and psychiatric diagnostic scales, correlate with head motion in the Human Connectome Project, and shows that data cleaning strategies reduce the influence of head motion and substantially alter previously reported FC:behavior relationship.

TL;DR: This work uses resting-state fMRI from 1,376 normal, young adults to demonstrate that multiple, highly reproducible, temporal sequences of propagated activity, which they term “lag threads,” are present in the brain.

TL;DR: It is suggested that failure of network up- and down-regulation dynamics may provide neuronal underpinnings for cognitive impairments seen in many mental disorders, such as, e.g., schizophrenia.