Abnormal Static and Dynamic Functional Network Connectivity in Patients With Presbycusis

Xing, Chunhua; Chen, Yu‐Chen; Shang, Shaobin; Xǔ, Jǐnjīng; Chen, Huiyou; Yin, Xindao; Wu, Yuanqing; Zheng, Junyu

doi:10.3389/fnagi.2021.774901

Cited by 8 publications

(10 citation statements)

References 53 publications

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“…More importantly, the increase of the left FPN and DMN exhibited a significant correlation after eliminating the effect of values in pre-intervention (r = 0.40, P = 0.012, Fig 6 ). The DMN and left FPN are a pair of brain network coupling that associated with the cognitive function [ 69 ], which often present in a low-level manner in patients with cognitive impairment [ 70 ]. Gao-Xia Wei’s research indicated that long-term Tai Chi practice could establish a body feedback road to moderate cognitive control system via strengthening the connections between DMN and left FPN, and enhanced the cognitive control capacity to facilitate mental and body health statement [ 37 ].…”

Section: Discussionmentioning

confidence: 99%

Tai Chi increases functional connectivity and decreases chronic fatigue syndrome: A pilot intervention study with machine learning and fMRI analysis

Wu¹,

Li²,

Zou³

et al. 2022

PLoS ONE

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Background The latest guidance on chronic fatigue syndrome (CFS) recommends exercise therapy. Tai Chi, an exercise method in traditional Chinese medicine, is reportedly helpful for CFS. However, the mechanism remains unclear. The present longitudinal study aimed to detect the influence of Tai Chi on functional brain connectivity in CFS. Methods The study recruited 20 CFS patients and 20 healthy controls to receive eight sessions of Tai Chi exercise over a period of one month. Before the Tai Chi exercise, an abnormal functional brain connectivity for recognizing CFS was generated by a linear support vector model. The prediction ability of the structure was validated with a random forest classification under a permutation test. Then, the functional connections (FCs) of the structure were analyzed in the large-scale brain network after Tai Chi exercise while taking the changes in the Fatigue Scale-14, Pittsburgh Sleep Quality Index (PSQI), and the 36-item short-form health survey (SF-36) as clinical effectiveness evaluation. The registration number is ChiCTR2000032577 in the Chinese Clinical Trial Registry. Results 1) The score of the Fatigue Scale-14 decreased significantly in the CFS patients, and the scores of the PSQI and SF-36 changed significantly both in CFS patients and healthy controls. 2) Sixty FCs were considered significant to discriminate CFS (P = 0.000, best accuracy 90%), with 80.5% ± 9% average accuracy. 3) The FCs that were majorly related to the left frontoparietal network (FPN) and default mode network (DMN) significantly increased (P = 0.0032 and P = 0.001) in CFS patients after Tai Chi exercise. 4) The change of FCs in the left FPN and DMN were positively correlated (r = 0.40, P = 0.012). Conclusion These results demonstrated that the 60 FCs we found using machine learning could be neural biomarkers to discriminate between CFS patients and healthy controls. Tai Chi exercise may improve CFS patients’ fatigue syndrome, sleep quality, and body health statement by strengthening the functional connectivity of the left FPN and DMN under these FCs. The findings promote our understanding of Tai Chi exercise’s value in treating CFS.

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Section: Discussionmentioning

confidence: 99%

Tai Chi increases functional connectivity and decreases chronic fatigue syndrome: A pilot intervention study with machine learning and fMRI analysis

Wu¹,

Li²,

Zou³

et al. 2022

PLoS ONE

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“…Our procedures for MRI data preprocessing were similar to prior studies ( Xing et al, 2021 ; Xu et al, 2021 ). Data analysis was computed using GRETNA ( Wang et al, 2015 ) toolbox 1 based on MATLAB software 2 .…”

Section: Methodsmentioning

confidence: 99%

Aberrant Functional Network of Small-World in Sudden Sensorineural Hearing Loss With Tinnitus

Hua

et al. 2022

Front. Neurosci.

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Few researchers investigated the topological properties and relationships with cognitive deficits in sudden sensorineural hearing loss (SNHL) with tinnitus. To explore the topological characteristics of the brain connectome following SNHL from the global level and nodal level, we recruited 36 bilateral SNHL patients with tinnitus and 37 well-matched healthy controls. Every subject underwent pure tone audiometry tests, neuropsychological assessments, and MRI scanning. AAL atlas was employed to divide a brain into 90 cortical and subcortical regions of interest, then investigated the global and nodal properties of “small world” network in SNHL and control groups using a graph-theory analysis. The global characteristics include small worldness, cluster coefficient, characteristic path length, local efficiency, and global efficiency. Node properties include degree centrality, betweenness centrality, nodal efficiency, and nodal clustering coefficient. Interregional connectivity analysis was also computed among 90 nodes. We found that the SNHL group had significantly higher hearing thresholds and cognitive impairments, as well as disrupted internal connections among 90 nodes. SNHL group displayed lower AUC of cluster coefficient and path length lambda, but increased global efficiency. The opercular and triangular parts of the inferior frontal gyrus, rectus gyrus, parahippocampal gyrus, precuneus, and amygdala showed abnormal local features. Some of these connectome alterations were correlated with cognitive ability and the duration of SNHL. This study may prove potential imaging biomarkers and treatment targets for future studies.

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“…For example, Chen et al ( 2018b , 2020 ) found that age-related hearing loss was associated with a decline in spontaneous activity of the auditory cortex, whereas impaired cognitive/executive function was associated with increased spontaneous activity in the prefrontal cortex; the decline of cognitive function in presbycusis patients may be closely related to the functional changes of the default mode network (DMN). Xing et al proposed that the disorder of brain functional network architecture in the frontal lobe plays a crucial role in the executive dysfunction of presbycusis, and early biomarkers of FC alteration may exist before distinct cognitive impairment is detected in patients with presbycusis (Xing et al, 2020 , 2021a , b ).…”

Section: Introductionmentioning

confidence: 99%

Reorganized Brain Functional Network Topology in Presbycusis

Guan

Chen

et al. 2022

Front. Aging Neurosci.

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PurposePresbycusis is characterized by bilateral sensorineural hearing loss at high frequencies and is often accompanied by cognitive decline. This study aimed to identify the topological reorganization of brain functional network in presbycusis with/without cognitive decline by using graph theory analysis approaches based on resting-state functional magnetic resonance imaging (rs-fMRI).MethodsResting-state fMRI scans were obtained from 30 presbycusis patients with cognitive decline, 30 presbycusis patients without cognitive decline, and 50 age-, sex-, and education-matched healthy controls. Graph theory was applied to analyze the topological properties of brain functional networks including global and nodal metrics, modularity, and rich-club organization.ResultsAt the global level, the brain functional networks of all participants were found to possess small-world properties. Also, significant group differences in global network metrics were observed among the three groups such as clustering coefficient, characteristic path length, normalized characteristic path length, and small-worldness. At the nodal level, several nodes with abnormal betweenness centrality, degree centrality, nodal efficiency, and nodal local efficiency were detected in presbycusis patients with/without cognitive decline. Changes in intra-modular connections in frontal lobe module and inter-modular connections in prefrontal subcortical lobe module were found in presbycusis patients exposed to modularity analysis. Rich-club nodes were reorganized in presbycusis patients, while the connections among them had no significant group differences.ConclusionPresbycusis patients exhibited topological reorganization of the whole-brain functional network, and presbycusis patients with cognitive decline showed more obvious changes in these topological properties than those without cognitive decline. Abnormal changes of these properties in presbycusis patients may compensate for cognitive impairment by mobilizing additional neural resources.

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Abnormal Static and Dynamic Functional Network Connectivity in Patients With Presbycusis

Cited by 8 publications

References 53 publications

Tai Chi increases functional connectivity and decreases chronic fatigue syndrome: A pilot intervention study with machine learning and fMRI analysis

Tai Chi increases functional connectivity and decreases chronic fatigue syndrome: A pilot intervention study with machine learning and fMRI analysis

Aberrant Functional Network of Small-World in Sudden Sensorineural Hearing Loss With Tinnitus

Reorganized Brain Functional Network Topology in Presbycusis

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