Modulation of moment-to-moment irregularity of neural activity closely tracks our ability to flexibly adapt decision biases to the environment.

The explanation of why older people show increased behavioral variability despite having decreased neural signal variability lies in the link between the dynamics of the ongoing neural signal and the trial-by-trial variability of neural evoked responses.

The sequence of neural and physiological processes underlying action-stopping has been delineated.

The excessive behavioral variability associated with adolescence is the result of greater instability of widespread or global gain signals which produces greater variability in the amplitude of expression of whole-brain states of task-related activity.

The variability of the pupil–fMRI relationship was characterized through a combination of clustering and prediction methods, which revealed brain state-specific subcortical and neuromodulatory activation patterns reflected in pupil dynamics.

Time-varying states of alertness that shape behavioral responses may be detected from fMRI signal patterns.

Two distinct objects evoke fluctuating activity in visual cortex in a manner that could preserve information about both items.

Advanced machine learning based brain signal decoding of grip-force as a proxy for movement vigor shows Parkinson's disease related performance reduction, suggestive of a loss of cortical vigor encoding in the absence of dopamine.

In vivo quantitative analysis of multi-shell diffusion MRI reveals novel insights into microstructure of human insular cortex and its functional circuits associated with the salience network and cognitive control.

High variability in neuropathology burden and interactions between dementia diagnosis and RNA quality present underappreciated complications when studying dementia in an aged population.