Intrinsic timescales as an organizational principle of neural processing across the whole rhesus macaque brain

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8 Scopus citations


Hierarchical temporal dynamics are a fundamental computational property of the brain; however, there are no whole brain, noninvasive investigations into timescales of neural processing in animal models. To that end, we used the spatial resolution and sensitivity of ultrahigh field functional magnetic resonance imaging (fMRI) performed at 10.5 T to probe timescales across the whole macaque brain. We uncovered within-species consistency between timescales estimated from fMRI and electrophysiology. Crucially, we extended existing electrophysiological hierarchies to whole-brain topographies. Our results validate the complementary use of hemodynamic and electrophysiological intrinsic timescales, establishing a basis for future translational work. Further, with these results in hand, we were able to show that one facet of the high-dimensional functional connectivity (FC) topography of any region in the brain is closely related to hierarchical temporal dynamics. We demonstrated that intrinsic timescales are organized along spatial gradients that closely match FC gradient topographies across the whole brain. We conclude that intrinsic timescales are a unifying organizational principle of neural processing across the whole brain.

Original languageEnglish (US)
Article numbere75540
StatePublished - Mar 2022

Bibliographical note

Funding Information:
The authors thank Steve Jungst, Gregor Adriany, and Russell Lagore for continuing support with our coils and hardware. The authors thank Jen Holmberg, Brenna Knaebe, and Mrunal Zambre, for support with animal care and data acquisition. This work was supported by NIH grants P41 EB027061 (to JZ and KU), R01 MH118257 (to SRH), R56 EB031765 (to JZ), R01 MH128177 (to JZ), from the Digital Technologies Initiative (to JZ), from the Minnesota Institute of Robotics (to JZ), two Young Investigator Awards from the Brain & Behavior Research Foundation to SRH and AZ, a P30DA048742 (to JZ, SRH, and AZ), and a UMN AIRP award to JZ, SRH, and AZ.

Publisher Copyright:
© Manea et al.

Center for Magnetic Resonance Research (CMRR) tags

  • NHPR
  • MRE
  • P41

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't


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