Quantifying local field potential dynamics with amplitude and frequency stability between ON and OFF medication and stimulation in Parkinson's disease.

Guo X
He S
Geng X
Yao P
Wiest C
Nie Y
Tan H
Wang S

In people with Parkinson’s disease, stability of certain brain activities at frequency domain may provide extra information of the clinical conditions of the disease. In this study, we proposed to jointly quantify the amplitude and frequency stability of certain brain activities, and showed that this new quantification can differentiate between ON and OFF medication/stimulation conditions of the disease better than existing quantifications.

Scientific Abstract

Neural oscillations are critical to understanding the synchronisation of neural activities and their relevance to neurological disorders. For instance, the amplitude of beta oscillations in the subthalamic nucleus has gained extensive attention, as it has been found to correlate with medication status and the therapeutic effects of continuous deep brain stimulation in people with Parkinson's disease. However, the frequency stability of subthalamic nucleus beta oscillations, which has been suggested to be associated with dopaminergic information in brain states, has not been well explored. Moreover, the administration of medicine can have inverse effects on changes in frequency and amplitude. In this study, we proposed a method based on the stationary wavelet transform to quantify the amplitude and frequency stability of subthalamic nucleus beta oscillations and evaluated the method using simulation and real data for Parkinson's disease patients. The results suggest that the amplitude and frequency stability quantification has enhanced sensitivity in distinguishing pathological conditions in Parkinson's disease patients. Our quantification shows the benefit of combining frequency stability information with amplitude and provides a new potential feedback signal for adaptive deep brain stimulation.

Plot representing the proposed amplitude and frequency stability (AFS) metric and its comparisons with existing amplitude and frequency based metrics in distinguishing different medication states in people with Parkinson’s disease.
Amplitude and frequency stability (AFS) and amplitude or frequency stability (FS) based on band-pass filtering. (A) A segment of low-beta band filtered LFPs, in which the instantaneous amplitude (IA) and the instantaneous frequency (IF) obtained using an offline Hilbert transform are two independent measures of synchrony. (B) AFS, amplitude, and FS based on band-pass filtering at low beta. (C) KLD serving as a measurement of pairwise differences.
Citation

2024. Neurobiol Dis, 197:106519.

DOI
10.1016/j.nbd.2024.106519
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