Topic: cognitive domains

The surge in interest in individual differences, driven partly by the rise of precision medicine, has coincided with the latest replication crisis, centred around brain-wide association studies of brain-behaviour correlations. In this context, understanding the reliability of the measures we use in cognitive neuroscience has never been more important. Tasks designed to study individual differences must reliably differentiate participants at the individual rather than the group level. Yet assessing the reliability of a given dataset, and even more so optimizing the design of a new behavioural t

Individuals with depression, psychosis and clinically high risk for psychosis face cognitive decline and show altered functional connectivity in resting-state networks. An unsupervised machine-learning method, sparse partial least squares analysis (SPLS) captures latent variables from clinical features and brain mechanisms, allowing the examination of relationships between functional connectivity and cognitive functions across disorders. This study aimed to explore relationships between functional connectivity, cognitive domains and study groups using SPLS. 990 participants with recent-onset p