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Spontaneous Activity Patterns in Human Attention Networks Code for Hand Movements.

Lu Zhang1, Lorenzo Pini1, DoHyun Kim2

  • 1Padova Neuroscience Center, University of Padova, Padova, 35131, Italy.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|February 14, 2023
PubMed
Summary

Spontaneous brain activity patterns at rest in human attention networks replay hand movement information. This suggests resting-state activity maintains and consolidates information for ecological behaviors.

Keywords:
attention networkshand movementsrepresentationresting-state fMRIspontaneous brain activitytask fMRI

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Functional Magnetic Resonance Imaging (fMRI)

Background:

  • Resting-state brain activity may underlie information maintenance and consolidation.
  • Previous studies showed resting-state patterns in sensory and motor cortices mirror task-evoked activity.
  • The role of spontaneous activity in higher-order cognitive networks remains largely unknown.

Purpose of the Study:

  • To investigate whether "replay" of activity patterns occurs during rest in human association cortex.
  • To examine if spontaneous activity in cognitive networks codes for specific hand movements.
  • To determine if the ecological nature of movements influences resting-state pattern matching.

Main Methods:

  • fMRI data acquired from 15 participants performing four hand movements (three ecological, one control).
  • Resting-state scans collected before and after task performance.
  • Analysis compared task-evoked activation patterns with spontaneous resting-state activity patterns using correlation metrics.

Main Results:

  • Resting-state patterns in the dorsal attention network more closely matched task patterns for ecological movements compared to the control.
  • The ventral attention network showed higher rest-task pattern correlation for the less ecological movement.
  • These findings indicate spontaneous activity in attention networks encodes hand movement information.

Conclusions:

  • Spontaneous brain activity in human attention networks demonstrably codes for hand movements.
  • Resting-state activity may play a crucial role in maintaining and consolidating information related to ecological behaviors.
  • This research provides novel insights into the functional significance of spontaneous neural activity in higher-order cognitive systems.