Subthalamic low beta bursts differ in Parkinson's disease phenotypes. (August 2022)

• Record Type: Journal Article
• Authors: Fim Neto, Arnaldo; de Luccas, Julia Baldi; Bianqueti, Bruno Leonardo; da Silva, Luiz Ricardo; Almeida, Tiago Paggi; Takahata, André Kazuo; Teixeira, Manoel Jacobsen; Figueiredo, Eberval Gadelha; Nasuto, Slawomir J.; Rocha, Maria Sheila Guimarães; Soriano, Diogo Coutinho; Godinho, Fabio
• Is Part Of: Clinical neurophysiology. Volume 140(2022)
• Page Start: 45
• Page End: 58
• Publication Date: 2022-08
• Subjects: Parkinson's disease -- Tremor -- Rigidity -- Bradykinesia -- Postural instability and gait disorder -- Brain waves; aDBS Adaptative Deep Brain Stimulation -- AUC Area Under Curve -- CWT Continuous Wavelet Transform -- DBS Deep Brain Stimulation -- STN-LFP Subthalamic Nucleus Local Field Potentials -- PD Parkinson's disease -- PIGD Postural Instability and Gait Difficulty -- ROC Receiver Operating Characteristic Curve -- STN Subthalamic Nucleus -- TD Tremor Dominant; Neurophysiology -- Periodicals; Electroencephalography -- Periodicals; Electromyography -- Periodicals; Neurology -- Periodicals; 612.8
• DOI: 10.1016/j.clinph.2022.05.013
• Languages: English
• ISSNs: 1388-2457

Abstract

Highlights: Beta bursts from subthalamic local field potentials differ for TD vs. PIGD phenotypes of Parkinson's disease. TD patients exhibit higher burst probability, while PIGD patients exhibit increased beta burst average duration. Longer bursts durations correlated with rigidity-bradykinesia score, whereas probability of short bursts, with tremor score. Abstract: Objective: Parkinson's disease (PD) patients may be categorized into tremor-dominant (TD) and postural-instability and gait disorder (PIGD) motor phenotypes, but the dynamical aspects of subthalamic nucleus local field potentials (STN-LFP) and the neural correlates of this phenotypical classification remain unclear. Methods: 35 STN-LFP (20 PIGD and 15 TD) were investigated through continuous wavelet transform and machine-learning-based methods. The beta oscillation – the main band associated with motor impairment in PD – dynamics was characterized through beta burst parameters across phenotypes and burst intervals under specific proposed criteria for optimal burst threshold definition. Results: Low-frequency (13–22 Hz) beta burst probability was the best predictor for PD phenotypes (75% accuracy). PIGD patients presented higher average burst duration (p = 0.018), while TD patients exhibited higher burst probability (p = 0.014). Categorization into shorter and longer than 400 ms bursts led to significant interaction between burst length categories and the phenotypes (p < 0.050) as revealed by mixed-effects models. Long burst durations and short bursts probability positively correlated, respectively, with rigidity-bradykinesia (p = 0.029) and tremor (p = 0.038) scores. Conclusions: Subthalamic low-frequency beta bursts differed between TD and PIGD phenotypes and correlated with motor symptoms. Significance: These findings improve the PD phenotypes' electrophysiological characterization and may define new criteria for adaptive deep brain stimulation.