Magnetoencephalography (MEG) detects synchronized activity within a neuronal network by measuring the magnetic field changes generated by intracellular current flow. Using MEG data, we can quantify brain region networks with similar frequency, phase, or amplitude of activity and thereby identify patterns of functional connectivity seen with specific disorders or disease states. In this review, we examine and summarize MEG-based literature on functional networks in dystonias. Specifically, we inspect literature evaluating the pathogenesis of focal hand dystonia, cervical dystonia, embouchure dystonia, the effects of sensory tricks, treatment with botulinum toxin and deep brain stimulation, and rehabilitation approaches. This review additionally highlights how MEG has potential for application to clinical care of patients with dystonia.
Keyphrases
- resting state
- deep brain stimulation
- functional connectivity
- parkinson disease
- obsessive compulsive disorder
- early onset
- systematic review
- botulinum toxin
- healthcare
- quality improvement
- risk assessment
- machine learning
- pain management
- combination therapy
- big data
- blood brain barrier
- human health
- artificial intelligence