Temporal hierarchy of intrinsic neural timescales converges with spatial core-periphery organization

• DOI: 10.1038/s42003-021-01785-z
• Publication Date: 2021-03-04T11:04:29Z
• Authors: Mehrshad Golesorkhi; Javier Gomez-Pilar; Shankar Tumati; Maia Fraser; Georg Northoff
• Keywords: Kernel (algebra); Magnetoencephalography; Rest (music)

Abstract The human cortex exhibits intrinsic neural timescales that shape a temporal hierarchy. Whether this hierarchy follows the spatial of its topography, namely core-periphery organization, remains an open issue. Using magnetoencephalography data, we investigate during rest and task states; measure autocorrelation window in short (ACW-50) and, introducing novel variant, long (ACW-0) windows. We demonstrate longer ACW-50 ACW-0 networks located at core compared to those periphery with states showing high ACW correlation. Calculating rest-task differences, i.e., subtracting shared reveals task-specific changes distinct networks. Finally, employing kernel density estimation, machine learning, simulation, better prediction classifying region’s time as or periphery. Overall, our findings provide fundamental insight into how cortex’s converges