We review the aspects that uniquely characterize magnetoencephalography (MEG) among
the techniques available to explore and resolve brain function and dysfunction. While …

To date, fMRI research has been concerned primarily with evincing generic principles of
brain function through averaging data from multiple subjects. Given rapid developments in …

Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …

High-throughput experimental methods in neuroscience have led to an explosion of
techniques for measuring complex interactions and multi-dimensional patterns. However …

The gap between chronological age (CA) and biological brain age, as estimated from
magnetic resonance images (MRIs), reflects how individual patterns of neuroanatomic aging …

We present an automated algorithm for unified rejection and repair of bad trials in
magnetoencephalography (MEG) and electroencephalography (EEG) signals. Our method …

Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …

Little is still known about the neuroanatomical substrates related to changes in specific
cognitive abilities in the course of healthy aging, and the existing evidence is predominantly …

The “Narratives” collection aggregates a variety of functional MRI datasets collected while
human subjects listened to naturalistic spoken stories. The current release includes 345 …

Individual people differ in their ability to reason, solve problems, think abstractly, plan and
learn. A reliable measure of this general ability, also known as intelligence, can be derived …