Altered interhemispheric synchrony in Parkinson’s disease patients with levodopa-induced dyskinesias

Gan, Caiting; Wang, Min; Si, Qianqian; Yuan, Yongsheng; Zhi, Yi; Wang, Lina; Ma, Kewei; Zhang, Kezhong

doi:10.1038/s41531-020-0116-2

Cited by 15 publications

(13 citation statements)

References 36 publications

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“…Rs-fMRI data preprocessing was executed on Data Processing Assistant for Resting-State fMRI (DPARSF, , accessed on 10 November 2021). With reference to this literature [ 20 ], we partitioned the preprocessing strategies into the following steps. To begin with, the first 10 time points were disposed of and the remaining 230 images were revised for timing differences between slices and head motion (Friston 24 parameter), taking the middle layer as the reference slice.…”

Section: Methodsmentioning

confidence: 99%

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Impaired Interhemispheric Synchrony in Parkinson’s Disease with Fatigue

Yuan

Gan

et al. 2022

JPM

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The characteristics of interhemispheric resting-state functional connectivity (FC) in Parkinson’s disease (PD) with fatigue remain unclear; therefore, we aimed to explore the changes in interhemispheric FC in PD patients with fatigue. Sixteen PD patients with fatigue (PDF), 16 PD patients without fatigue (PDNF) and 15 matched healthy controls (HCs) were enrolled in the retrospective cross-sectional study. We used voxel-mirrored homotopic connectivity (VMHC) to analyze the resting-state functional magnetic resonance imaging (fMRI) data of these subjects. Compared to PDNF, PDF patients had decreased VMHC values in the supramarginal gyri (SMG). Furthermore, the mean VMHC values of the SMG were negatively correlated with the mean fatigue severity scale (FSS/9) scores (r = −0.754, p = 0.001). Compared to HCs, PDF patients had decreased VMHC in the SMG and in the opercular parts of the inferior frontal gyri (IFG operc). The VMHC values in the IFG operc and middle frontal gyri (MFG) were notably decreased in PDNF patients compared with HCs. Our findings suggest that the reduced VMHC values within the bilateral SMG may be the unique imaging features of fatigue in PD, and may illuminate the neural mechanisms of fatigue in PD.

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Section: Methodsmentioning

confidence: 99%

“…The values of VMHC were calculated with REST software ( , accessed on 10 November 2021), and on the basis of the Gan’s article [ 20 ]. First, a mean normalized T1 image was established by averaging the spatially normalized T1 images.…”

Section: Methodsmentioning

confidence: 99%

Impaired Interhemispheric Synchrony in Parkinson’s Disease with Fatigue

Yuan

Gan

et al. 2022

JPM

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“…Previous studies on the DBS of PD mainly focused on the accuracy of surgery such as the Lead-DBS v2 method with precise electrode positioning ( Horn et al, 2019 ), stimulation such as closed-loop DBS ( Rosin et al, 2011 ), and treatment such as an omics method for prospective targeted therapy for refractory depression ( Rivaposse et al, 2018 ), etc. In addition, research involving the prediction of brain asymmetry in PD patients had different statistical indicators from this study that were based on the value of voxel-mirrored homotopic connectivity to assess the asymmetry of the hemispheric function and its morphology ( Gan et al, 2020 ), and there were also different prediction methods from this study using the human connectome as a connectivity profile ( Horn et al, 2017 ). The brain asymmetry study that similarly uses machine learning was the analysis of depression ( Jiang et al, 2019 ), not an analysis of PD.…”

Section: Discussionmentioning

confidence: 99%

Prediction of Deep Brain Stimulation Outcome in Parkinson’s Disease With Connectome Based on Hemispheric Asymmetry

Wang

Shang

et al. 2021

Front. Neurosci.

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Parkinson’s disease (PD) is a neurodegenerative disease that is associated with motor and non-motor symptoms and caused by lack of dopamine in the substantia nigra of the brain. Subthalamic nucleus deep brain stimulation (STN-DBS) is a widely accepted therapy of PD that mainly inserts electrodes into both sides of the brain. The effect of STN-DBS was mainly for motor function, so this study focused on the recovery of motor function for PD after DBS. Hemispherical asymmetry in the brain network is considered to be a potential indicator for diagnosing PD patients. This study investigated the value of hemispheric brain connection asymmetry in predicting the DBS surgery outcome in PD patients. Four types of brain connections, including left intra-hemispheric (LH) connection, right intra-hemispheric (RH) connection, inter-hemispheric homotopic (Ho) connection, and inter-hemispheric heterotopic (He) connection, were constructed based on the resting state functional magnetic resonance imaging (rs-fMRI) performed before the DBS surgery. We used random forest for selecting features and the Ridge model for predicting surgical outcome (i.e., improvement rate of motor function). The functional connectivity analysis showed that the brain has a right laterality: the RH networks has the best correlation (r = 0.37, p = 5.68E-03) between the predicted value and the true value among the above four connections. Moreover, the region-of-interest (ROI) analysis indicated that the medioventral occipital cortex (MVOcC)–superior temporal gyrus (STG) and thalamus (Tha)–precentral gyrus (PrG) contributed most to the outcome prediction model for DBS without medication. This result provides more support for PD patients to evaluate DBS before surgery.

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“…PD patients had an obligation to keep diaries 1 week before the start of the experiment to record the beginning and failure of the medicine, as reported in prior trials ( Gan et al, 2020 ; Shen et al, 2020 ) to establish the timing of MRI scans. Notably, dyskinetic PD patients were additionally required to document the emergence and remission of dyskinetic symptoms to judge the time of LID onset.…”

Section: Methodsmentioning

confidence: 99%

“…However, the precise pathophysiological processes underlying peak-dose dyskinesia remain obscure. Numerous structural and resting-state functional magnetic resonance imaging (rs-fMRI) studies have accentuated the major role of the anomalous brain functional network in LID, which includes the inferior frontal gyrus (IFG), pre-supplementary motor area, and basal ganglia (BG) ( Cerasa et al, 2011 , 2013 , 2015 ; Herz et al, 2015 , 2016 ; Gan et al, 2020 ). Overall, the neural mechanisms of peak-dose dyskinesia in PD are implicated in aberrant ( Cerasa et al, 2015 ; Herz et al, 2015 , 2016 ) and uncoordinated ( Gan et al, 2020 ) dopaminergic modulation of cortico-striatal connectivity, beyond the classical BG dysfunctions model.…”

Section: Introductionmentioning

confidence: 99%

Altered functional connectivity of cerebellar dentate nucleus in peak-dose dyskinesia in Parkinson’s disease

Zhang

Wang

Gan

et al. 2022

Front. Aging Neurosci.

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The cerebellum is associated with the emergence of levodopa-induced dyskinesia (LID) in Parkinson’s disease (PD), yet the neural mechanism remains obscure. Our aim was to ascertain the role of functional connectivity (FC) patterns of the cerebellar dentate nucleus (DN) in the pathogenesis of peak-dose dyskinesia in PD. Twenty-three peak-dose dyskinetic PD patients, 27 non-dyskinetic PD patients, and 36 healthy controls (HCs) were enrolled and underwent T1-weighted and resting-state functional magnetic resonance imaging (rs-fMRI) scans after dopaminergic medication intake. We selected left and right DN as the regions of interest and then employed voxel-wise FC analysis and voxel-based morphometry analysis (VBM). The correlations between the altered FC pattern and clinical scores were also examined. Finally, receiver operating characteristic (ROC) curve analysis was performed to assess the potential of DN FC measures as a feature of peak-dose dyskinesia in PD. Dyskinetic PD patients showed excessively increased FC between the left DN and right putamen compared with the non-dyskinetic. When compared with controls, dyskinetic PD patients mainly exhibited increased FC between left DN and bilateral putamen, left paracentral lobule, right postcentral gyrus, and supplementary motor area. Additionally, non-dyskinetic PD patients displayed increased FC between left DN and left precentral gyrus and right paracentral lobule compared with controls. Meanwhile, increased FC between DN (left/right) and ipsilateral cerebellum lobule VIII was observed in both PD subgroups. However, no corresponding alteration in gray matter volume (GMV) was found. Further, a positive correlation between the z-FC values of left DN-right putamen and the Unified Dyskinesia Rating Scale (UDysRS) was confirmed in dyskinetic PD patients. Notably, ROC curve analyses revealed that the z-FC values of left DN-right putamen could be a potential neuroimaging feature identifying dyskinetic PD patients. Our findings demonstrated that the excessively strengthened connectivity of DN-putamen might contribute to the pathophysiological mechanisms of peak-dose dyskinesia in PD.

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Altered interhemispheric synchrony in Parkinson’s disease patients with levodopa-induced dyskinesias

Cited by 15 publications

References 36 publications

Impaired Interhemispheric Synchrony in Parkinson’s Disease with Fatigue

Impaired Interhemispheric Synchrony in Parkinson’s Disease with Fatigue

Prediction of Deep Brain Stimulation Outcome in Parkinson’s Disease With Connectome Based on Hemispheric Asymmetry

Altered functional connectivity of cerebellar dentate nucleus in peak-dose dyskinesia in Parkinson’s disease

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