Renewed interest in psychedelics as treatments for mental disorders has recently emerged, but substantial challenges remain in obtaining evidence from available data to inform clinical decision-making. This Comment explores the current landscape of clinical psychedelic research, highlighting the need for a systematic approach to evidence synthesis.

Functional neuroimaging is an essential tool for neuroscience research. However, post-processing is not standardized. While several options for post-processing exist, they tend not to support output from disparate pre-processing pipelines, may have limited documentation, and may not follow BIDS best practices. Here we present XCP-D, which presents a solution to these issues.

Network neuroscience is principally concerned with studying the connectome, the complete description of whole brain connectivity. This connectome is often encoded as a graph of nodes interconnected by edges that can be defined across multiple scales, species, and data modalities. In any case, these descriptions of brain connectivity give rise to complex topology, and understanding how this topology shapes and constrains the brain’s rich repertoire of dynamics is a central goal of network neuroscience. NCT provides a simple yet powerful approach to studying these dynamics that yields insights into how they emerge from this topology.