Abstract Language is supported by a distributed network of brain regions with a particular
contribution from the left hemisphere. A multi-level understanding of this network requires …

Over the past decade there has been a rapid improvement in techniques for obtaining large-
scale cellular level data related to the mouse brain connectome. However, a detailed …

Predicting neuromarkers for cognitive abilities using fMRI has been a major focus of
research in the past few years. However, it has recently been reported that many thousands …

The study of the evolution of brain–behaviour relationships concerns understanding the
causes and repercussions of cross‐and within‐species variability. Understanding such …

Recently, it has become progressively more evident that classic diagnostic labels are unable
to accurately and reliably describe the complexity and variability of several clinical …

Predicting individual behavior from functional connectivity (FC) using machine learning is a
critical research topic in neuroscience. While various models have been proposed, they …

Inter-subject modeling of cognitive processes has been a challenging task due to large
individual variability in brain structure and function. Graph neural networks (GNNs) provide a …

Temporally independent functional modes (TFMs) are functional brain networks identified
based on their temporal independence. The rationale behind identifying TFMs is that …

Multiple human behaviors improve early in life, peaking in young adulthood, and declining
thereafter. Several properties of brain structure and function progress similarly across the …

Multimodal data integration approaches, such as Linked Independent Component Analysis
(LICA), increase sensitivity to brain-behaviour relationships and allow us to probe the …