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3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
Published on: June 2, 2014
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.
Abstract:
Migraine is a prevalent and disabling neurological disorder, characterized by difficulties in regulating headache activity, sensory processing, and cognitive-emotional states. Brain entropy quantifies the complexity of neural dynamics, where reduced entropy may reflect diminished neural adaptability, but its assessment with fMRI in migraine remains limited. Here, we examined alterations in brain entropy and their associations with clinical burden, attack timing, and symptomatology. Resting-state fMRI data were acquired from adults with episodic migraine, chronic migraine, and healthy controls. Following standard preprocessing, voxel-wise sample entropy was computed, and group differences were assessed using ANCOVA with age and sex as covariates. Associations with clinical burden and symptom measures were examined within affected regions. In chronic migraine, attack timing-related changes in entropy were further explored, and the largest Lyapunov exponent (LLE) was estimated to characterize chaotic dynamics underlying attack-related complexity changes. Migraine patients showed reduced entropy in sensory, attentional, and default mode regions compared to controls, most pronounced in chronic migraine. Lower entropy correlated with greater headache frequency and longer illness duration. In chronic migraine, entropy relatively increased during attacks in multisensory integration regions and was associated with positive and elevated LLEs, indicating partially restored complexity with weakly chaotic dynamics. Patients experiencing phonophobia and nausea also exhibited increased entropy in multisensory and default mode regions. Our findings demonstrate widespread reductions in brain entropy in migraine, reflecting impaired neural adaptability, whereas attacks may transiently restore complexity partially through chaotic dynamics. These results advance understanding of migraine pathophysiology and highlight potential targets for therapeutic intervention.
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.

