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Pallidal multifractal complexity is a new potential physiomarker of dystonia
Ulia Semenova1, Indiko Dzhalagoniya1, Anna Gamaleya2
1N.N.Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, Moscow, Russian Federation.
Objective:
Low-frequency 4-12 Hz pallidal oscillations are being considered as potential physiomarkers for dystonia. We suggest investigating the multifractal properties of pallidal activity as an additional marker.
Methods:
We employed local field potentials (LFP) recordings from 23 patients with dystonia who were undergoing deep brain stimulation (DBS) surgery to explore the connection between disease severity and the multifractal characteristics of pallidal activity. Furthermore, we performed an analysis of LFP recordings from four patients, following the externalization of DBS lead electrodes, to investigate the impact of DBS and neck muscle vibration on multifractal parameters.
Results:
Greater dystonia severity exhibited a correlation with a narrower multifractal spectrum width but higher multifractal spectral asymmetry. Both GPi DBS and muscle vibration in dystonia patients expanded the multifractal spectrum width while restoring multifractal spectral symmetry. Notably, the threshold peak intensities for an increase in multifractal spectrum width substantially overlapped with the optimal volume of tissue activated. A broader multifractal spectrum during DBS corresponded to more favorable clinical outcomes.
Conclusions:
Multifractal properties of pallidal neuronal activity serve as indicators of neural dysfunction in dystonia.
Significance:
These findings suggest the potential of utilizing multifractal characteristics as predictive factors for the DBS outcome in dystonia.
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