In various disciplines, information about the same phenomenon can be acquired from
different types of detectors, at different conditions, in multiple experiments or subjects …

Researchers have wondered how the brain creates emotions since the early days of
psychological science. With a surge of studies in affective neuroscience in recent decades …

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

Regulation of gene expression drives protein interactions that govern synaptic wiring and
neuronal activity. The resulting coordinated activity among neuronal populations supports …

A hallmark of electrophysiological brain activity is its 1/f-like spectrum–power decreases with
increasing frequency. The steepness of this 'roll-off'is approximated by the spectral …

The 21st century marks the emergence of “big data” with a rapid increase in the availability
of datasets with multiple measurements. In neuroscience, brain-imaging datasets are more …

Abstract Machine learning techniques are increasingly being used in making relevant
predictions and inferences on individual subjects neuroimaging scan data. Previous studies …

Why has diffusion MRI become a principal modality for mapping connectomes in vivo? How
do different image acquisition parameters, fiber tracking algorithms and other …

Partial Least Squares (PLS) methods are particularly suited to the analysis of relationships
between measures of brain activity and of behavior or experimental design. In …

Tasks that demand externalized attention reliably suppress default network activity while
activating the dorsal attention network. These networks have an intrinsic competitive …