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

Mehrshad Golesorkhi, Javier Gomez-Pilar, Shankar Tumati, Maia Fraser, Georg Northoff

研究成果: 雜誌貢獻文章同行評審

36 引文 斯高帕斯(Scopus)


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

期刊Communications Biology
出版狀態已發佈 - 3月 4 2021

ASJC Scopus subject areas

  • 生物化學、遺傳與分子生物學 (全部)
  • 農業與生物科學 (全部)
  • 醫藥(雜項)


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