The quest for reliable connectivity metrics represents more than a technical challenge—it’s a fundamental exploration of how human cognition emerges through intricate neural conversations. Imagine mapping brain communication like decoding a complex, dynamic conversation where each region contributes unique insights, yet the overall meaning depends on intricate interactions we’ve struggled to reliably measure.
Collaborative science offers a powerful pathway forward. By developing shared protocols and datasets, researchers can create standardized frameworks that transcend individual laboratory constraints. This approach promises to unlock deeper insights into how our brains process information, potentially revolutionizing our understanding of cognitive function, neurological disorders, and the fundamental mechanisms of human thought and perception.
The cognitive neuroscience community using M/EEG has not converged on measures of task-related inter-regional brain connectivity that generalize across tasks and laboratories. We call for community-driven efforts to systematically test and validate connectivity metrics using shared datasets and protocols, aiming to establish robust, replicable frameworks for cognitive and clinical applications.