Abnormalities of interhemispheric functional connectivity in individuals with acute eye pain: a resting-state fMRI study

Dong, Zhizhang; Zhu, Fei-Yin; Shi, Wen‐Qing; Shu, Yongqiang; Chen, Lin-Long; Yuan, Qing; Lin, Qian; Zhu, Pei‐Wen; Liu, Kangcheng; Min, You‐Lan; Ye, Lei; Shao, Yi

doi:10.18240/ijo.2019.04.18

Cited by 9 publications

(5 citation statements)

References 34 publications

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“…Glaucoma patients experience painful swelling in both eyes. Dong et al (2019) demonstrated that patients with eye pain had decreased voxel-mirrored homotopic connectivity in the precentral/postcentral gyrus. Additionally, Pan et al (2018) reported that eye pain patients had a lower amplitude of low-frequency fluctuation in the left and right precentral/postcentral gyrus and left precuneus.…”

Section: Discussionmentioning

confidence: 99%

Machine learning analysis reveals abnormal functional network hubs in the primary angle-closure glaucoma patients

Chen

Zhong

Liu

et al. 2022

Front. Hum. Neurosci.

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BackgroundPrimary angle-closure glaucoma (PACG) is a serious and irreversible blinding eye disease. Growing studies demonstrated that PACG patients were accompanied by vision and vision-related brain region changes. However, whether the whole-brain functional network hub changes occur in PACG patients remains unknown.PurposeThe purpose of the study was to investigate the brain function network hub changes in PACG patients using the voxel-wise degree centrality (DC) method.Materials and methodsThirty-one PACG patients (21 male and 10 female) and 31 healthy controls (HCs) (21 male and 10 female) closely matched in age, sex, and education were enrolled in the study. The DC method was applied to investigate the brain function network hub changes in PACG patients. Moreover, the support vector machine (SVM) method was applied to distinguish PACG patients from HC patients.ResultsCompared with HC, PACG patients had significantly higher DC values in the right fusiform, left middle temporal gyrus, and left cerebelum_4_5. Meanwhile, PACG patients had significantly lower DC values in the right calcarine, right postcentral gyrus, left precuneus gyrus, and left postcentral gyrus. Furthermore, the SVM classification reaches a total accuracy of 72.58%, and the ROC curve of the SVM classifier has an AUC value of 0.85 (r = 0.25).ConclusionOur results showed that PACG patients showed widespread brain functional network hub dysfunction relative to the visual network, auditory network, default mode network, and cerebellum network, which might shed new light on the neural mechanism of optic atrophy in PACG patients.

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Section: Discussionmentioning

confidence: 99%

Machine learning analysis reveals abnormal functional network hubs in the primary angle-closure glaucoma patients

Chen

Zhong

Liu

et al. 2022

Front. Hum. Neurosci.

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“…VMHC is one of the most noticeable characteristics of the brain's essential functional architecture, which has an important influence on cognition and behavior by interhemispheric communication. Recently, as a conspicuous indicator of disturbed functional specialization of the brain, VMHC has been chosen in some diseases to explore the alterations of functional homotopy due to intervention or recovery (28)(29)(30)(31). This method has also been used in stroke studies to investigate the changes in functional connections between cerebral hemispheres (10,17,28,31).…”

Section: Introductionmentioning

confidence: 99%

Aberrant interhemispheric functional reciprocities of the default mode network and motor network in subcortical ischemic stroke patients with motor impairment: A longitudinal study

Zhou

et al. 2022

Front. Neurol.

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PurposeThe purpose of the present study was to explore the longitudinal changes in functional homotopy in the default mode network (DMN) and motor network and its relationships with clinical characteristics in patients with stroke.MethodsResting-state functional magnetic resonance imaging was performed in stroke patients with subcortical ischemic lesions and healthy controls. The voxel-mirrored homotopic connectivity (VMHC) method was used to examine the differences in functional homotopy in patients with stroke between the two time points. Support vector machine (SVM) and correlation analyses were also applied to investigate whether the detected significant changes in VMHC were the specific feature in patients with stroke.ResultsThe patients with stroke had significantly lower VMHC in the DMN and motor-related regions than the controls, including in the precuneus, parahippocampus, precentral gyrus, supplementary motor area, and middle frontal gyrus. Longitudinal analysis revealed that the impaired VMHC of the superior precuneus showed a significant increase at the second time point, which was no longer significantly different from the controls. Between the two time points, the changes in VMHC in the superior precuneus were significantly correlated with the changes in clinical scores. SVM analysis revealed that the VMHC of the superior precuneus could be used to correctly identify the patients with stroke from the controls with a statistically significant accuracy of 81.25% (P ≤ 0.003).ConclusionsOur findings indicated that the increased VMHC in the superior precuneus could be regarded as the neuroimaging manifestation of functional recovery. The significant correlation and the discriminative power in classification results might provide novel evidence to understand the neural mechanisms responsible for brain reorganization after stroke.

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“…VMHC reflects the connection strength of homotopic brain regions in the whole brain. The more coincident the bilateral homotopic regions are, the higher the values of VMHC are (Dong et al, 2019). In this study, we used these two indexes to study the brain network in asthma children, in order to find the early indicators for the assessment of attentional cognitive impairment.…”

Section: Discussionmentioning

confidence: 99%

Brain network study of attentional cognitive impairment in children with bronchial asthma

Zhu

Zhao

Yang

et al. 2023

Intl J of Devlp Neuroscience

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Background: Bronchial asthma often causes cognitive impairment, especially attentional de cit, which has a serious impact on children's learning, but the lack of functional imaging evidence has affected targeted intervention for children.Methods: Thirty-one asthmatic and typically developing children (TDC) were studied by functional magnetic resonance imaging (fMRI). Brain network-based degree centricity and voxel-mirrored homotopic connectivity (VMHC) methods were used.Results: Compared with the TDC group, asthmatic children had lower DC values in the right superior frontal gyrus (after FDR correction, P<0.05). Meanwhile, VMHC values of bilateral superior frontal gyrus and bilateral superior parietal lobule in asthmatic children were lower than those in TDC children (after FDR correction, P<0.05).Conclusions: In this study, impaired superior frontal gyrus and parietal lobe function are associated with attentional de cit in asthmatic children, and these brain regions are key brain regions in attention-related networks.

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Abnormalities of interhemispheric functional connectivity in individuals with acute eye pain: a resting-state fMRI study

Cited by 9 publications

References 34 publications

Machine learning analysis reveals abnormal functional network hubs in the primary angle-closure glaucoma patients

Machine learning analysis reveals abnormal functional network hubs in the primary angle-closure glaucoma patients

Aberrant interhemispheric functional reciprocities of the default mode network and motor network in subcortical ischemic stroke patients with motor impairment: A longitudinal study

Brain network study of attentional cognitive impairment in children with bronchial asthma

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