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Spatial task instructions and global activation trends influence functional modularity in the cortical reach network.

L Musa1, A Ghaderi2, Y Chen3

  • 1Centre for Integrative and Applied Neuroscience (CIAN), Canada; Centre for Vision Research, York University, Toronto, Canada; Department of Psychology, York University, Toronto, ON, Canada.

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Summary

Brain network organization differs based on how movement targets are coded. Allocentric (landmark-based) aiming increases modular integration and hub recruitment compared to egocentric (self-based) aiming.

Keywords:
Allocentric cuesCortical reach networkGraph theory analysis (GTA)Modularity and Integration

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Systems Neuroscience

Background:

  • Understanding how the brain integrates visual cues and motor commands is crucial for explaining goal-directed movements.
  • Previous research has explored egocentric (self-referenced) and allocentric (environment-referenced) spatial coding, but their impact on large-scale cortical network dynamics remains unclear.

Purpose of the Study:

  • To investigate how allocentric cues interact with egocentric target information and motor planning activity to shape cortical network properties.
  • To determine the influence of task instructions (egocentric vs. allocentric) on brain network modularity and hub organization.

Main Methods:

  • Applied graph theory analysis (GTA) to functional magnetic resonance imaging (fMRI) data from a prior study (Chen et al., 2014).
  • Analyzed cortical network properties during reaching movements to targets defined in egocentric and allocentric coordinates.

Main Results:

  • Egocentric pointing resulted in four bilateral cortical modules, while allocentric aiming showed three, with altered node integration.
  • Both tasks engaged local and global cortical hubs, but the allocentric task recruited additional hubs for spatial integration.
  • Network modularity significantly predicted task performance and reach error, highlighting its behavioral relevance.

Conclusions:

  • Motor planning activation trends influence global network integration, while task instructions modulate local network properties.
  • The allocentric task demonstrates increased modular integration and specific hub recruitment, reflecting enhanced processing of environmental spatial information for movement guidance.