The past decade has witnessed a proliferation of studies aimed at characterizing the human
connectome. These projects map the brain regions comprising large-scale systems …

Collecting comprehensive data sets of the same subject has become a standard in
neuroscience research and uncovering multivariate relationships among collected data sets …

Laser-produced plasmas (LPPs) engulf exotic and complex conditions ranging in
temperature, density, pressure, magnetic and electric fields, charge states, charged particle …

Repetitive transcranial magnetic stimulation (rTMS) of the dorsolateral prefrontal cortex
(DLPFC) is an established treatment for refractory depression, however, therapeutic …

Investigating changes in brain function induced by mind-altering substances such as LSD is
a powerful method for interrogating and understanding how mind interfaces with brain, by …

Major depressive disorder (MDD) is a psychiatric disorder characterized by abnormal resting
state functional connectivity (rsFC) in various neural networks and especially in default …

Definitions of what constitutes the 'signal of interest'in neuroscience can be controversial,
due in part to continuously evolving notions regarding the significance of spontaneous …

The intrinsic dynamics of neuronal populations are shaped by both microscale attributes and
macroscale connectome architecture. Here we comprehensively characterize the rich …

Resting-state functional magnetic resonance imaging (MRI) has yielded seemingly
disparate insights into large-scale organization of the human brain. The brain's large-scale …

Canonical correlation analysis (CCA) and partial least squares (PLS) are powerful
multivariate methods for capturing associations across 2 modalities of data (eg, brain and …