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Resting state fMRI-based temporal coherence mapping.

Ze Wang1

  • 1Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States.

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Summary

Temporal coherence mapping (TCM) quantifies long-range temporal coherence (LRTC) in brain dynamics. This novel method reveals brain organization and cognitive function insights, showing high reproducibility and relevance to age and cognition.

Keywords:
cognitioncoherence/anti-coherence balancelong-range temporal coherenceresting state fMRI

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Area of Science:

  • Neuroscience
  • Complex Systems
  • Cognitive Science

Background:

  • Long-range temporal coherence (LRTC) is vital for self-organized systems, particularly brain function and cognition.
  • Quantifying LRTC is crucial for understanding brain organization, dynamics, and cognitive processes.

Purpose of the Study:

  • To introduce Temporal Coherence Mapping (TCM), a novel method for quantifying brain LRTC.
  • To validate TCM using resting-state fMRI data and assess its physiological and cognitive relevance.

Main Methods:

  • TCM utilizes correlation analysis on phase space reconstructed via temporal embedding.
  • Derived TCM metrics include averaged correlation/anti-correlation and temporal balance measures.
  • Validation involved simulations and application to Human Connectome Project resting-state fMRI data.

Main Results:

  • TCM metrics successfully distinguished signals with varying temporal coherence.
  • TCM demonstrated high test-retest reproducibility in human brain data.
  • TCM metrics correlated with age, sex, and overall cognitive scores.

Conclusions:

  • TCM is a pioneering tool for assessing brain LRTC and the balance between coherence and incoherence.
  • TCM properties exhibit significant physiological and cognitive relevance.
  • TCM holds potential for advancing the understanding of brain dynamics and cognition.