From temporal to spatial topography: hierarchy of neural dynamics in higher- and lower-order networks shapes their complexity

Mehrshad Golesorkhi, Javier Gomez-Pilar, Yasir Çatal, Shankar Tumati, Mustapha C.E. Yagoub, Emanuel A. Stamatakis, Georg Northoff

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The brain shows a topographical hierarchy along the lines of lower- and higher-order networks. The exact temporal dynamics characterization of this lower-higher-order topography at rest and its impact on task states remains unclear, though. Using 2 functional magnetic resonance imaging data sets, we investigate lower- and higher-order networks in terms of the signal compressibility, operationalized by Lempel-Ziv complexity (LZC). As we assume that this degree of complexity is related to the slow-fast frequency balance, we also compute the median frequency (MF), an estimation of frequency distribution. We demonstrate (i) topographical differences at rest between higher- and lower-order networks, showing lower LZC and MF in the former; (ii) task-related and task-specific changes in LZC and MF in both lower- and higher-order networks; (iii) hierarchical relationship between LZC and MF, as MF at rest correlates with LZC rest-task change along the lines of lower- and higher-order networks; and (iv) causal and nonlinear relation between LZC at rest and LZC during task, with MF at rest acting as mediator. Together, results show that the topographical hierarchy of lower- and higher-order networks converges with their temporal hierarchy, with these neural dynamics at rest shaping their range of complexity during task states in a nonlinear way.

Original languageEnglish
Pages (from-to)5637-5653
Number of pages17
JournalCerebral cortex (New York, N.Y. : 1991)
Volume32
Issue number24
DOIs
Publication statusPublished - Dec 8 2022

Keywords

  • core-periphery organization
  • lower-higher-order network topography
  • neural complexity
  • slow–fast frequency balance
  • spatiotemporal neuroscience

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

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