Altered Degree Centrality of Brain Networks in Parkinson's Disease With Freezing of Gait: A Resting-State Functional MRI Study

Jin, Chaoyang; Qi, Shouliang; Teng, Yueyang; Li, Chen; Yao, Yu-Dong; Ruan, Xiuhang; Wei, Xinhua

doi:10.3389/fneur.2021.743135

Cited by 14 publications

(19 citation statements)

References 59 publications

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“…Compared with HCs, decreased BC has been found in several brain regions, mainly located in the prefrontal cortex, supplementary motor area, hippocampus, cingulate gyrus, and occipital gyrus bilateral striatum, and increased centrality in the right olfactory cortex in PD FOG+ patients. Abnormalities in these brain regions have been reported by previous studies (Mitchell et al, 2019;Brugger et al, 2020;Ruan et al, 2020;Jin et al, 2021a). The prefrontal cortex plays an important role in cognitive and executive functions (Teffer and Semendeferi, 2012).…”

Section: The Difference In Nodal Parameters Between Groupsmentioning

confidence: 70%

“…In our previous study on the functional brain network of FOG in PD, we found that PD FOG+ patients showed decreased DC in MFG, inferior temporal gyrus (ITG), STG, middle temporal gyrus (MTG), and parahippocampal gyrus (PhG) (Jin et al, 2021a). These findings suggest that PD FOG+ patients have some commonalities and differences in brain regions with impaired functional and structural brain networks.…”

Section: The Difference In Nodal Parameters Between Groupsmentioning

confidence: 83%

“…STG is mainly responsible for processing auditory signals. Some studies have demonstrated the disrupted functional network properties of the STG in PD FOG+ patients (Ruan et al, 2020;Jin et al, 2021a). Compared with PD FOG-patients, PD FOG+ patients showed decreased BC in the right CAU.…”

Section: The Difference In Nodal Parameters Between Groupsmentioning

confidence: 99%

“…Node centrality is a powerful indicator used to evaluate the relative importance of a node in the entire brain network and represents the information integration ability of a single brain region in the entire brain network (Li et al, 2018;Jin et al, 2021a). Changes in topological properties can expose patients to brain network dysfunction or recombination, which may have an impact on the separation and integration of information (Zhang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Structural Brain Network Abnormalities in Parkinson’s Disease With Freezing of Gait

Jin

Yang

et al. 2022

Front. Aging Neurosci.

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ObjectiveDiffusion tensor imaging (DTI) studies have investigated white matter (WM) integrity abnormalities in Parkinson’s disease (PD). However, little is known about the topological changes in the brain network. This study aims to reveal these changes by comparing PD without freezing of gait (FOG) (PD FOG–), PD with FOG (PD FOG+), and healthy control (HC).Methods21 PD FOG+, 34 PD FOG-, and 23 HC were recruited, and DTI images were acquired. The graph theoretical analysis and network-based statistical method were used to calculate the topological parameters and assess connections.ResultsPD FOG+ showed a decreased normalized clustering coefficient, small-worldness, clustering coefficient, and increased local network efficiency compared with HCs. PD FOG+ showed decreased centrality, degree centrality, and nodal efficiency in the striatum, frontal gyrus, and supplementary motor area (SMA). PD FOG+ showed decreased connections in the frontal gyrus, cingulate gyrus, and caudate nucleus (CAU). The between centrality of the left SMA and left CAU was negatively correlated with FOG questionnaire scores.ConclusionThis study demonstrates that PD FOG+ exhibits disruption of global and local topological organization in structural brain networks, and the disrupted topological organization can be potential biomarkers in PD FOG+. These new findings may provide increasing insight into the pathophysiological mechanism of PD FOG+.

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Section: The Difference In Nodal Parameters Between Groupsmentioning

confidence: 70%

Section: The Difference In Nodal Parameters Between Groupsmentioning

confidence: 83%

Section: The Difference In Nodal Parameters Between Groupsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Structural Brain Network Abnormalities in Parkinson’s Disease With Freezing of Gait

Jin

Yang

et al. 2022

Front. Aging Neurosci.

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“…Functional magnetic resonance imaging (fMRI) is a non-invasive technique that can be used to study brain function changes in a variety of diseases, providing valuable information for explaining pathogenesis and guiding clinical practice ( Mulders et al, 2015 ; Puschmann and Thiel, 2017 ; Vos et al, 2017 ; Xia et al, 2017 ; Tang et al, 2019 ; Jin et al, 2021 ). According to previous studies, resting-state fMRI (rs-fMRI) can reflect underlying neuronal activity ( Logothetis, 2002 ; Qi et al, 2015 ; Zhu et al, 2019 ; Qian et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation

Song

Jin

et al. 2022

Front. Comput. Neurosci.

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Identification of congenital sensorineural hearing loss (SNHL) and early intervention, especially by cochlear implantation (CI), are crucial for restoring hearing in patients. However, high accuracy diagnostics of SNHL and prognostic prediction of CI are lacking to date. To diagnose SNHL and predict the outcome of CI, we propose a method combining functional connections (FCs) measured by functional magnetic resonance imaging (fMRI) and machine learning. A total of 68 children with SNHL and 34 healthy controls (HC) of matched age and gender were recruited to construct classification models for SNHL and HC. A total of 52 children with SNHL that underwent CI were selected to establish a predictive model of the outcome measured by the category of auditory performance (CAP), and their resting-state fMRI images were acquired. After the dimensional reduction of FCs by kernel principal component analysis, three machine learning methods including the support vector machine, logistic regression, and k-nearest neighbor and their voting were used as the classifiers. A multiple logistic regression method was performed to predict the CAP of CI. The classification model of voting achieves an area under the curve of 0.84, which is higher than that of three single classifiers. The multiple logistic regression model predicts CAP after CI in SNHL with an average accuracy of 82.7%. These models may improve the identification of SNHL through fMRI images and prognosis prediction of CI in SNHL.

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Cholinergic basal forebrain atrophy in Parkinson's disease with freezing of gait

Gan

Cao

Wang

et al. 2023

Ann Clin Transl Neurol

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Background: Mounting research support that cholinergic dysfunction plays a prominent role in freezing of gait (FOG), which commonly occurs in Parkinson's disease (PD). Basal forebrain (BF), especially the cholinergic nuclei 4 (Ch4), provides the primary source of the brain cholinergic input. However, whether the degeneration of BF and its innervated cortex contribute to the pathogenesis of FOG is unknown. Objective: To explore the role of structural alterations of BF and its innervated cortical brain regions in the pathogenesis of PD patients with freezing. Methods: Magnetic resonance imaging assessments and neurological assessments were performed on 20 PD patients with FOG (PD-FOG), 20 without FOG (PD-NFOG), and 21 healthy participants. Subregion volumes of the BF were compared among groups. Local gyrification index (LGI) was computed to reveal the cortical alternations. Relationships among subregional BF volumes, LGI, and the severity of FOG were evaluated by multiple linear regression. Results: Our study discovered that, compared to PD-NFOG, PD-FOG exhibited significant Ch4 atrophy (p = 4.6 9 10 À5 ), accompanied by decreased LGI values in the left entorhinal cortex (p = 3.00 9 10 À5 ) and parahippocampal gyrus (p = 2.90 9 10 À5 ). Based on the regression analysis, Ch4 volume was negatively associated with FOG severity in PD-FOG group (b = À12.224, T = À2.556, p = 0.031). Interpretation: Our results imply that Ch4 degeneration and microstructural disorganization of its innervated cortical brain regions may play important roles in PD-FOG.

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Altered Degree Centrality of Brain Networks in Parkinson's Disease With Freezing of Gait: A Resting-State Functional MRI Study

Cited by 14 publications

References 59 publications

Structural Brain Network Abnormalities in Parkinson’s Disease With Freezing of Gait

Structural Brain Network Abnormalities in Parkinson’s Disease With Freezing of Gait

Functional Brain Connections Identify Sensorineural Hearing Loss and Predict the Outcome of Cochlear Implantation

Cholinergic basal forebrain atrophy in Parkinson's disease with freezing of gait

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