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 …

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

Objective. Supervised learning paradigms are often limited by the amount of labeled data
that is available. This phenomenon is particularly problematic in clinically-relevant data …

This paper describes the data repository for the Cambridge Centre for Ageing and
Neuroscience (Cam-CAN) initial study cohort. The Cam-CAN Stage 2 repository contains …

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

When designing experimental studies with human participants, experimenters must decide
how many trials each participant will complete, as well as how many participants to test …

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 …

Brain age is a widely used index for quantifying individuals' brain health as deviation from a
normative brain aging trajectory. Higher-than-expected brain age is thought partially to …

Principal component analysis (PCA) is a dimensionality reduction method that is known for
being simple and easy to interpret. Principal components are often interpreted as low …