Fronto‐parieto‐subthalamic activity decodes motor status in Parkinson's disease

Zhang, Quan; Xie, Hutao; Zhao, Baotian; Yin, Zixiao; Liu, Yuye; Liu, Defeng; Bai, Yutong; Zhu, Guanyu; Qin, Guofan; Gan, Yifei; Tian, Runfa; Shi, Lin; Yang, Anchao; Meng, Fangang; Jiang, Yin; Zhang, Jianguo

doi:10.1111/cns.14155

CNS Neurosci Ther

2023

DOI: 10.1111/cns.14155

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Fronto‐parieto‐subthalamic activity decodes motor status in Parkinson's disease

Quan Zhang

Hutao Xie

Baotian Zhao

et al.

Abstract: Eighty percent of patients with Parkinson's disease (PD) demonstrate dysfunctions in various motor status switches, such as difficulties in standing up, gait initiation, and freezing while walking. 1 These dysfunctions are the first intrinsic causes associated with falls and are closely related to cognitive impairment, often leading to restrictions in the patient's quality of life. [2][3][4] In addition, with disease progression, these dysfunctions are resistant to dopaminergic treatment and deep brain stimula… Show more

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Cited by 3 publications

References 48 publications

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A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation

Wang,

Chen,

Shen

et al. 2024

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Here we presented an electrophysiological dataset collected from layer V of the primary motor cortex (M1) and the corresponding behavior dataset from normal and hemi-parkinson rats over 5 consecutive weeks. The electrophysiological dataset was constituted by the raw wideband signal, neuronal spikes, and local field potential (LFP) signal. The open-field test was done and recorded to evaluate the behavior variation of rats among the entire experimental cycle. We conducted technical validation of this dataset through sorting the spike data to form action potential waveforms and analyzing the spectral power of LFP data, then based on these findings a closed-loop DBS protocol was developed by the oscillation activity response of M1 LFP signal. Additionally, this protocol was applied to the hemi-parkinson rat for five consecutive days while simultaneously recording the electrophysiological data. This dataset is currently the only publicly available dataset that includes longitudinal closed-loop DBS recordings, which can be utilized to investigate variations of neuronal activity within the M1 following long-term closed-loop DBS, and explore additional reliable biomarkers.

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A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation

Wang,

Chen,

Shen

et al. 2024

Sci Data

View full text Add to dashboard Cite

show abstract

Fronto‐parieto‐subthalamic activity decodes motor status in Parkinson's disease

et al. 2023

Self Cite

View full text Add to dashboard Cite

Eighty percent of patients with Parkinson's disease (PD) demonstrate dysfunctions in various motor status switches, such as difficulties in standing up, gait initiation, and freezing while walking. 1 These dysfunctions are the first intrinsic causes associated with falls and are closely related to cognitive impairment, often leading to restrictions in the patient's quality of life. [2][3][4] In addition, with disease progression, these dysfunctions are resistant to dopaminergic treatment and deep brain stimulation (DBS). 5,6 Therefore, revealing the neurophysiological patterns underlying different motor statuses, including sitting, standing, walking, dual-task walking, and freezing of gait, is essential for developing the optimized therapy.

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Immediate modulatory effects of transcutaneous vagus nerve stimulation on patients with Parkinson’s disease: a crossover self-controlled fMRI study

Fu,

Hou,

Zheng

et al. 2024

Front. Aging Neurosci.

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BackgroundPrevious studies have evaluated the safety and efficacy of transcutaneous auricular vagus nerve stimulation (taVNS) for the treatment of Parkinson’s disease (PD). However, the mechanism underlying the effect of taVNS on PD remains to be elucidated. This study aimed to investigate the immediate effects of taVNS in PD patients.MethodsThis crossover self-controlled study included 50 PD patients. Each patient underwent three sessions of resting-state functional magnetic resonance imaging (rs-fMRI) under three conditions: real taVNS, sham taVNS, and no taVNS intervention. We analyzed whole-brain amplitude of low-frequency fluctuations (ALFF) from preprocessed fMRI data across different intervention conditions. ALFF values in altered brain regions were correlated with clinical symptoms in PD patients.ResultsForty-seven participants completed the study and were included in the final analysis. Real taVNS was associated with a widespread decrease in ALFF in the right hemisphere, including the superior parietal lobule, precentral gyrus, postcentral gyrus, middle occipital gyrus, and cuneus (voxel p < 0.001, GRF corrected). The ALFF value in the right superior parietal lobule during real taVNS was negatively correlated with the Unified Parkinson’s Disease Rating Scale Part III (r = −0.417, p = 0.004, Bonferroni corrected).ConclusionTaVNS could immediately modulate the functional activity of brain regions involved in superior parietal lobule, precentral gyrus, postcentral gyrus, middle occipital gyrus, and cuneus. These findings offer preliminary insights into the mechanism of taVNS in treating PD and bolster confidence in its long-term therapeutic potential. TaVNS appears to reduce ALFF values in specific brain regions, suggesting a potential modulation mechanism for treating PD.

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Fronto‐parieto‐subthalamic activity decodes motor status in Parkinson's disease

Cited by 3 publications

References 48 publications

A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation

A longitudinal electrophysiological and behavior dataset for PD rat in response to deep brain stimulation

Fronto‐parieto‐subthalamic activity decodes motor status in Parkinson's disease

Immediate modulatory effects of transcutaneous vagus nerve stimulation on patients with Parkinson’s disease: a crossover self-controlled fMRI study

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