Table of Contents

Spatiotemporal Dynamics of Successive Activations across the Human Brain during Simple Arithmetic Processing

  1. Josef Parvizi1
  1. 1Stanford Human Intracranial Cognitive Electrophysiology Program, Department of Neurology and Neurological Science, Stanford University, Stanford, California 94305
  2. 2UCSF Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, California
  1. Author contributions: P.P.-C., A.D., and J.P. designed research; P.P-C., C.S.-S., S.A., and A.D. performed research; P.P.-C. and A.D. contributed unpublished reagents/analytic tools; P.P.-C., C.S.-S., and S.A. analyzed data; P.P.-C. wrote the paper.

Abstract

Previous neuroimaging studies have offered unique insights about the spatial organization of activations and deactivations across the brain; however, these were not powered to explore the exact timing of events at the subsecond scale combined with a precise anatomical source of information at the level of individual brains. As a result, we know little about the order of engagement across different brain regions during a given cognitive task. Using experimental arithmetic tasks as a prototype for human-unique symbolic processing, we recorded directly across 10,076 brain sites in 85 human subjects (52% female) using the intracranial electroencephalography. Our data revealed a remarkably distributed change of activity in almost half of the sampled sites. In each activated brain region, we found juxtaposed neuronal populations preferentially responsive to either the target or control conditions, arranged in an anatomically orderly manner. Notably, an orderly successive activation of a set of brain regions—anatomically consistent across subjects—was observed in individual brains. The temporal order of activations across these sites was replicable across subjects and trials. Moreover, the degree of functional connectivity between the sites decreased as a function of temporal distance between regions, suggesting that the information is partially leaked or transformed along the processing chain. Our study complements prior imaging studies by providing hitherto unknown information about the timing of events in the brain during arithmetic processing. Such findings can be a basis for developing mechanistic computational models of human-specific cognitive symbolic systems.

  • Received November 14, 2022.
  • Revision received February 16, 2024.
  • Accepted March 3, 2024.