A neuroscientific experiment typically generates a large amount of data, of which only a
small fraction is analyzed in detail and presented in a publication. However, selection …

Functional neuroimaging data embodies a massive multiple testing problem, where 100 000
correlated test statistics must be assessed. The familywise error rate, the chance of any false …

The effects of acute sleep deprivation on β-amyloid (Aβ) clearance in the human brain have
not been documented. Here we used PET and 18F-florbetaben to measure brain Aβ burden …

Decoding specific cognitive states from brain activity constitutes a major goal of
neuroscience. Previous studies of brain-state classification have focused largely on …

Background During the past 5 years, high-throughput technologies have been successfully
used by epidemiology studies, but almost all have focused on sequence variation through …

During development, the healthy human brain constructs a host of large-scale, distributed,
function-critical neural networks. Neurodegenerative diseases have been thought to target …

Cognitively demanding tasks that evoke activation in the brain's central-executive network
(CEN) have been consistently shown to evoke decreased activation (deactivation) in the …

Variations in neural circuitry, inherited or acquired, may underlie important individual
differences in thought, feeling, and action patterns. Here, we used task-free connectivity …

Requiring only minimal assumptions for validity, nonparametric permutation testing provides
a flexible and intuitive methodology for the statistical analysis of data from functional …

Resting-state or intrinsic connectivity network functional magnetic resonance imaging
provides a new tool for mapping large-scale neural network function and dysfunction …