Shared spatial and temporal principles govern connectome dynamics across timescales

T Thomas H. Alderson (Department of Psychology, University of Illinois at Urbana-Champaign) S Suhnyoung Jun (Department of Psychology, University of Illinois at Urbana-Champaign) J Jonathan Wirsich (Electroencephalogram and Epilepsy Unit, University Hospitals and Faculty of Medicine of Geneva, University of Geneva) M Maximillian Kirichenko Egan (Department of Psychology, University of Illinois at Urbana-Champaign) S Samar Wagih ElSayed (Department of Psychology, University of Illinois at Urbana-Champaign) S Sophia A. Giakas (Department of Psychology, University of Illinois at Urbana-Champaign) P Parham Mostame (Department of Psychology, University of Illinois at Urbana-Champaign) J Jeremy Harper (Department of Psychology, University of Minnesota) A Anne-Lise Giraud (Speech and Language Group, Department of Basic Neurosciences, Faculty of Medicine, University of Geneva) S Stephen M. Malone (Department of Psychology, University of Minnesota) W William G. Iacono (Department of Psychology, University of Minnesota) S Sanmi Koyejo (Department of Computer Science, Stanford University) S Sepideh Sadaghiani (Department of Psychology, University of Illinois at Urbana-Champaign)

Abstract

While the brain processes information at various speeds, little is known about how the functional connectome can concurrently support multiple speeds in parallel. FMRI and electrophysiological modalities have been used to study connectome dynamics at slow and fast speeds, respectively. But it is often implicitly assumed that these modalities capture the same underlying neural processes, with fMRI doing so through a low-pass temporal filter. However, recent work suggests the alternative possibility that connectome dynamics comprise distinct processes operating at multiple timescales. If such multiscale connectivity processes indeed coexist, a key question is whether their patterns and sequences are organized on the basis of shared regularities, i.e., common spatial and temporal principles. In simultaneous human fMRI and source-localized EEG, we investigated the connectome’s foundational constituents—the instantaneous coactivation patterns—across six timescales of neural activity, from infraslow through γ-band. We found streams of recurrent coactivation patterns, or states, that operate in parallel and asynchronously across timescales, thereby forming a timescale-overarching spatial principle. These states also occurred in highly similar sequences at all timescales, revealing a timescale-overarching temporal principle. Together, these findings indicate that the connectome comprises multiple dynamic streams operating in parallel at distinct speeds, from tens of milliseconds to seconds, rather than a single stream filtered by each modality’s temporal resolution. Spatial and temporal principles that span these streams enable their integration into a unified system. Consequently, research on human behavior and mental disorders should account for the full range of the connectome’s timescales.

Article Details

Volume / Issue Vol. 123, Issue 25
Published June 23, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (13)

T

Thomas H. Alderson

Department of Psychology, University of Illinois at Urbana-Champaign

S

Suhnyoung Jun

Department of Psychology, University of Illinois at Urbana-Champaign

J

Jonathan Wirsich

Electroencephalogram and Epilepsy Unit, University Hospitals and Faculty of Medicine of Geneva, University of Geneva

M

Maximillian Kirichenko Egan

Department of Psychology, University of Illinois at Urbana-Champaign

S

Samar Wagih ElSayed

Department of Psychology, University of Illinois at Urbana-Champaign

S

Sophia A. Giakas

Department of Psychology, University of Illinois at Urbana-Champaign

P

Parham Mostame

Department of Psychology, University of Illinois at Urbana-Champaign

J

Jeremy Harper

Department of Psychology, University of Minnesota

A

Anne-Lise Giraud

Speech and Language Group, Department of Basic Neurosciences, Faculty of Medicine, University of Geneva

S

Stephen M. Malone

Department of Psychology, University of Minnesota

W

William G. Iacono

Department of Psychology, University of Minnesota

S

Sanmi Koyejo

Department of Computer Science, Stanford University

S

Sepideh Sadaghiani

Department of Psychology, University of Illinois at Urbana-Champaign