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Lag threads organize the brain's intrinsic activity.

Anish Mitra1, Abraham Z Snyder2, Tyler Blazey3

  • 1Departments of Radiology and marc@npg.wustl.edu anishmitra@wustl.edu.

Proceedings of the National Academy of Sciences of the United States of America
|April 1, 2015
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Researchers discovered "lag threads," reproducible sequences of brain activity propagation, in human resting-state fMRI data. This finding suggests shared mechanisms underlie spontaneous brain activity across species.

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dynamicsfMRIintrinsic activityresting state

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Brain Imaging

Background:

  • Intrinsic brain activity exhibits spatiotemporal structure in various species.
  • Propagated slow activity is a known phenomenon in animal brains.
  • Human resting-state fMRI typically focuses on zero-lag synchrony within functional networks.

Purpose of the Study:

  • To investigate the spatiotemporal structure of intrinsic brain activity in humans using resting-state fMRI.
  • To identify and characterize temporal sequences of propagated activity beyond zero-lag synchrony.
  • To explore the relationship between propagated activity and conventionally defined resting-state networks.

Main Methods:

  • Analysis of resting-state functional magnetic resonance imaging (fMRI) data from 1,376 healthy young adults.
  • Identification of reproducible temporal sequences of propagated activity, termed "lag threads."
  • Modeling experiments to understand network emergence from propagation patterns.

Main Results:

  • Multiple, highly reproducible "lag threads" (temporal sequences of propagated activity) were identified in the human brain.
  • Propagated activity was largely unidirectional within established resting-state networks.
  • Modeling demonstrated that resting-state networks naturally arise from shared propagation patterns.

Conclusions:

  • Resting-state brain activity in humans is characterized by unidirectional "lag threads."
  • These findings challenge the predominant view of resting-state networks based solely on zero-lag synchrony.
  • Common physiological mechanisms may link spontaneous fMRI activity in humans and propagated activity in animals.