Symptom-Specific Networks and the DBS-Modulated Network in Parkinson’s Disease: A Connectivity-Based Review

<b>Objectives:</b> With the development of advanced neuroimaging techniques, including resting-state functional magnetic resonance imaging and diffusion tensor imaging, Parkinson's disease (PD) has increasingly been recognized as a complex brain network disorder. In this review, we summarized research on brain networks in PD to elucidate the network abnormalities underlying its four major motor symptoms and to identify the networks modulated by deep brain stimulation (DBS). <b>Materials and Methods:</b> We searched PubMed and Web of Science for the most recent literature on brain network alterations in PD. Eligible studies included those investigating the general PD network (<i>n</i> = 10), symptom-specific networks-tremor-dominant (<i>n</i> = 13), postural instability and gait disorder (<i>n</i> = 9), freezing of gait (<i>n</i> = 9), akinetic-rigidity (<i>n</i> = 3)-as well as DBS-modulated networks (<i>n</i> = 14). Based on these studies, we integrated the findings and used BrainNet Viewer to generate schematic network visualizations. <b>Results:</b> The symptom-specific networks exhibited common abnormalities within the sensorimotor network. Evidence from DBS studies suggested that therapeutic effects were associated with modulation of the motor cortex through both functional and structural connectivity. Moreover, the four motor symptoms each demonstrated distinct network features. Specifically, the tremor network was characterized by widespread alterations in the cortico-thalamic-cerebellar circuitry; the postural instability and gait disorder network showed more severe disruptions within the striatum and visual cortex; the freezing of gait network exhibited disruptions in midbrain regions, notably the pedunculopontine nucleus; and the akinetic-rigidity network involved changes in cognition-related networks, particularly the default mode network. <b>Conclusions:</b> PD motor symptoms exhibit both distinct network features and shared alterations within the sensorimotor network. DBS modulates large-scale brain networks, especially motor-related networks, contributing to the alleviation of motor symptoms. Characterizing symptom-specific networks may support precision DBS target selection and parameter optimization.

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Publication Details

Journal
Brain Sciences
Published
2025-12-23
DOI
https://doi.org/10.3390/brainsci16010016
Citations
2
Primary Topic
Neurological disorders and treatments
Type
article
Field-Weighted Citation Impact
2.78
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article

Symptom-Specific Networks and the DBS-Modulated Network in Parkinson’s Disease: A Connectivity-Based Review

Guoguang Zhao, Rui Huang, Kailiang Wang, Yuqing Zhang
2 citations
Brain Sciences
Neurological disorders and treatments
2.78
article

Symptom-Specific Networks and the DBS-Modulated Network in Parkinson’s Disease: A Connectivity-Based Review

Guoguang Zhao, Rui Huang, Kailiang Wang, Yuqing Zhang
article en
2 citations

Abstract

<b>Objectives:</b> With the development of advanced neuroimaging techniques, including resting-state functional magnetic resonance imaging and diffusion tensor imaging, Parkinson's disease (PD) has increasingly been recognized as a complex brain network disorder. In this review, we summarized research on brain networks in PD to elucidate the network abnormalities underlying its four major motor symptoms and to identify the networks modulated by deep brain stimulation (DBS). <b>Materials and Methods:</b> We searched PubMed and Web of Science for the most recent literature on brain network alterations in PD. Eligible studies included those investigating the general PD network (<i>n</i> = 10), symptom-specific networks-tremor-dominant (<i>n</i> = 13), postural instability and gait disorder (<i>n</i> = 9), freezing of gait (<i>n</i> = 9), akinetic-rigidity (<i>n</i> = 3)-as well as DBS-modulated networks (<i>n</i> = 14). Based on these studies, we integrated the findings and used BrainNet Viewer to generate schematic network visualizations. <b>Results:</b> The symptom-specific networks exhibited common abnormalities within the sensorimotor network. Evidence from DBS studies suggested that therapeutic effects were associated with modulation of the motor cortex through both functional and structural connectivity. Moreover, the four motor symptoms each demonstrated distinct network features. Specifically, the tremor network was characterized by widespread alterations in the cortico-thalamic-cerebellar circuitry; the postural instability and gait disorder network showed more severe disruptions within the striatum and visual cortex; the freezing of gait network exhibited disruptions in midbrain regions, notably the pedunculopontine nucleus; and the akinetic-rigidity network involved changes in cognition-related networks, particularly the default mode network. <b>Conclusions:</b> PD motor symptoms exhibit both distinct network features and shared alterations within the sensorimotor network. DBS modulates large-scale brain networks, especially motor-related networks, contributing to the alleviation of motor symptoms. Characterizing symptom-specific networks may support precision DBS target selection and parameter optimization.

Brain SciencesVol. 16(1)
Capital Medical University (CN)
Openalex Percentile: Top 8%
Neurological disorders and treatments
2.78
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