Reduced brain entropy in migraine with partial restoration during attacks: A resting-state fMRI study

Saberi Majid1, Dajung J Kim1, Xiao-Su Hu1

  • 1Headache and Orofacial Pain Effort (H.O.P.E.), Biologic and Materials Science & Prosthodontics, University of Michigan School of Dentistry, Ann Arbor, MI, USA.

Insights

Migraine patients exhibit reduced brain entropy, indicating impaired neural adaptability. However, during attacks, brain complexity partially recovers through chaotic dynamics, offering new insights into migraine pathophysiology.

Area of Science:

  • Neuroscience
  • Neurology

Background:

  • Migraine is a common neurological disorder impacting sensory processing and cognitive functions.
  • Brain entropy, a measure of neural complexity, is reduced in conditions with diminished neural adaptability.
  • fMRI assessment of brain entropy in migraine is currently limited.

Purpose of the Study:

  • To investigate alterations in brain entropy in episodic and chronic migraine.
  • To correlate brain entropy with clinical factors like headache frequency and illness duration.
  • To explore the role of chaotic dynamics during migraine attacks.

Main Methods:

  • Resting-state fMRI data from migraine patients and controls were analyzed.
  • Voxel-wise sample entropy was computed to quantify brain complexity.
  • ANCOVA was used to assess group differences, with further analysis of clinical associations and chaotic dynamics (LLE).

Main Results:

  • Migraine patients, especially those with chronic migraine, showed reduced brain entropy in sensory, attentional, and default mode networks.
  • Lower entropy correlated with higher headache frequency and longer migraine duration.
  • In chronic migraine, entropy increased during attacks in specific regions, linked to positive LLE, suggesting transient complexity restoration via chaotic dynamics.

Conclusions:

  • Widespread reductions in brain entropy suggest impaired neural adaptability in migraine.
  • Migraine attacks may involve a transient restoration of brain complexity through weakly chaotic dynamics.
  • Findings provide insights into migraine pathophysiology and potential therapeutic targets.

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