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The spatial layout of antagonistic brain regions is explicable based on geometric principles

  • King's College London
  • Northwestern University
  • University College London
  • University of York
  • McGill University
  • University of Paris
  • University of London
  • Queens University

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
50 Downloads (Pure)

Abstract

Brain activity emerges in a dynamic landscape of regional increases and decreases that span the cortex. Increases in activity during a cognitive task are often assumed to reflect the processing of task-relevant information, while reductions can be interpreted as suppression of irrelevant activity to facilitate task goals. Here, we explore the relationship between task-induced increases and decreases in activity from a geometric perspective. Using a technique known as kriging, developed in earth sciences, we examined whether the spatial organisation of brain regions showing positive activity could be predicted based on the spatial layout of regions showing activity decreases (and vice versa). Consistent with this hypothesis we established the spatial distribution of regions showing reductions in activity could predict (i) regions showing task-relevant increases in activity in both groups of humans and single individuals; (ii) patterns of neural activity captured by calcium imaging in mice; and, (iii) showed a high degree of generalisability across task contexts. Our analysis, therefore, establishes that antagonistic relationships between brain regions are topographically determined, a spatial analog for the well documented anti-correlation between brain systems over time.

Original languageEnglish
Article number889
JournalCommunications Biology
Volume8
Issue number1
Early online date7 Jun 2025
DOIs
Publication statusE-pub ahead of print - 7 Jun 2025

Keywords

  • Animals
  • Humans
  • Brain/physiology
  • Male
  • Brain Mapping/methods
  • Mice
  • Female
  • Adult
  • Cognition/physiology
  • Young Adult
  • Magnetic Resonance Imaging

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