The Precuneus Region Drives Brain Network Changes in Tremor‐Dominant Parkinson's Disease: Insights from a Morphological Causal Analysis

The tremor-dominant (TD) subtype of Parkinson's disease (PD) is characterized by prominent tremor symptoms. However, the temporal and causal relationships between brain structural alterations in TD patients remain unexplored. A total of 61 TD patients and 61 matched healthy controls (HCs) were included in this study. The gray matter volume (GMV) of the bilateral precuneus (PCUN) was significantly reduced in TD patients. A structural covariance network analysis seeded with the left pallidum (PAL.L), which had the most significant differences, revealed a substantial reduction in covariance with precentral gyrus in TD patients. We performed a causal structural covariance network analysis using the TD duration as a pseudotime series. The PCUN, with the highest out-degree in the cortex, regulates numerous regions, including the supplementary motor area and the extensive temporal lobe. Machine learning was utilized to construct a model that accurately assesses the surgical prognosis based on the above cortical volume and clinical scale, with the aim of assisting in clinical deep brain stimulation (DBS) treatment. These findings suggested a progressive pattern of GMV changes extending from the PAL.L to the PCUN region and continuing to other brain regions, providing insights into the progression of TD and enhancing DBS treatment strategies.

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Publication Details

Journal
MedComm
Published
2025-10-26
DOI
https://doi.org/10.1002/mco2.70441
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

The Precuneus Region Drives Brain Network Changes in Tremor‐Dominant Parkinson's Disease: Insights from a Morphological Causal Analysis

Xuzhu Chen, Jianguo Zhang, Jinli Ding, Chaonan Zhang et al.
MedComm
Neurological disorders and treatments
article

The Precuneus Region Drives Brain Network Changes in Tremor‐Dominant Parkinson's Disease: Insights from a Morphological Causal Analysis

Xuzhu Chen, Jianguo Zhang, Jinli Ding, Chaonan Zhang, Tao Feng, Yin Jiang, Fangang Meng, Anni Wang, Yang Zhong, Pengfei Yang, Chunlei Han, Qiang Liu, Xiaobo Wang, Yuan Gao, Siyu Zhou, Huizhi Wang, Yuchen Ji, M. Zhang, Lin Shi
article en

Abstract

The tremor-dominant (TD) subtype of Parkinson's disease (PD) is characterized by prominent tremor symptoms. However, the temporal and causal relationships between brain structural alterations in TD patients remain unexplored. A total of 61 TD patients and 61 matched healthy controls (HCs) were included in this study. The gray matter volume (GMV) of the bilateral precuneus (PCUN) was significantly reduced in TD patients. A structural covariance network analysis seeded with the left pallidum (PAL.L), which had the most significant differences, revealed a substantial reduction in covariance with precentral gyrus in TD patients. We performed a causal structural covariance network analysis using the TD duration as a pseudotime series. The PCUN, with the highest out-degree in the cortex, regulates numerous regions, including the supplementary motor area and the extensive temporal lobe. Machine learning was utilized to construct a model that accurately assesses the surgical prognosis based on the above cortical volume and clinical scale, with the aim of assisting in clinical deep brain stimulation (DBS) treatment. These findings suggested a progressive pattern of GMV changes extending from the PAL.L to the PCUN region and continuing to other brain regions, providing insights into the progression of TD and enhancing DBS treatment strategies.

MedCommVol. 6(11)
Shandong University of Aeronautics (CN), Capital Medical University (CN), Beijing Tian Tan Hospital (CN), Shandong Tumor Hospital (CN), Beijing Institute of Neurosurgery (CN), First Affiliated Hospital of Zhengzhou University (CN), Shandong First Medical University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 56%
Neurological disorders and treatments
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