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31 results on '"Hu, Zheqi"'

6. Mechanical energy analysis of human walking at different speeds

Author

Hu, Zheqi, Zou, Zhenmin, and Ren, Lei

Abstract

With years of researches of biomechanics, biomechanics could be applied to different fields, including medical science, and bionics. Nowadays, there are more problems in human walking movement. Biomechanics could be applied to research how lower limbs work during human walking. In order to figure out how mechanical energy transfers in lower limbs during walking, analysis in different levels would be performed in this thesis. Firstly, gait measurement experiment would be performed to collect static measurement data, dynamic motion data in three different walking speed and external load data with Vicon System and force plate. With smoothing and filtering the raw data with GMAS (General Movement Analysis System), joint kinematics and kinetics could be calculated with motion data and external load data. Afterward, musculoskeletal model would be specified with static measurement data based on the selected exist musculoskeletal model. After building up musculoskeletal model, muscle forces could be computed with motion data and external load data. Thereafter, mechanical energy analysis in joint and segmental level would be performed. The analysis reveals how joints and segments contribute to changing walking speed. The functional behaviours of each joint during different periods of stance phase are determined with function indices. What is more, the mechanical energy transfer between segments would be analysed to determine the energy flow in segments. Finally, mechanical energy analysis in muscle level would be performed. The energy reveals how individual muscle contributes to changing walking speed. The functional behaviours of individual muscle during different periods of stance phase are determined to figure out the functional behaviours' change during stance phase. The mechanical energy via individual muscles are determined with the mechanical work produced or absorbed at insertion and origin points.

Published
2021

10. Connectome gradient dysfunction contributes to white matter hyperintensity‐related cognitive decline.

Author

Yang, Dan, Tan, Yi, Zhou, ZhiXin, Ke, Zhihong, Huang, Lili, Mo, Yuting, Tang, Limoran, Mao, ChengLu, Hu, Zheqi, Cheng, Yue, Shao, Pengfei, Zhang, Bing, Zhu, Xiaolei, and Xu, Yun

Abstract

Background: Although white matter hyperintensity (WMH) is closely associated with cognitive decline, the precise neurobiological mechanisms underlying this relationship are not fully elucidated. Connectome studies have identified a primary‐to‐transmodal gradient in functional brain networks that support the spectrum from sensation to cognition. However, whether connectome gradient structure is altered as WMH progresses and how this alteration is associated with WMH‐related cognitive decline remain unknown. Methods: A total of 758 WMH individuals completed cognitive assessment and resting‐state functional MRI (rs‐fMRI). The functional connectome gradient was reconstructed based on rs‐fMRI by using a gradient decomposition framework. Interrelations among the spatial distribution of WMH, functional gradient measures, and specific cognitive domains were explored. Results: As the WMH volume increased, the executive function (r = −0.135, p = 0.001) and information‐processing speed (r = −0.224, p = 0.001) became poorer, the gradient range (r = −0.099, p = 0.006), and variance (r = −0.121, p < 0.001) of the primary‐to‐transmodal gradient reduced. A narrower gradient range (r = 0.131, p = 0.001) and a smaller gradient variance (r = 0.136, p = 0.001) corresponded to a poorer executive function. In particular, the relationship between the frontal/occipital WMH and executive function was partly mediated by gradient range/variance of the primary‐to‐transmodal gradient. Conclusions: These findings indicated that WMH volume, the primary‐to‐transmodal gradient, and cognition were interrelated. The detrimental effect of the frontal/occipital WMH on executive function was partly mediated by the decreased differentiation of the connectivity pattern between the primary and transmodal areas. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Glymphatic Dysfunction Mediates the Influence of White Matter Hyperintensities on Episodic Memory in Cerebral Small Vessel Disease

Author

Ke, Zhihong, primary, Mo, Yuting, additional, Li, Jiangnan, additional, Yang, Dan, additional, Huang, Lili, additional, Yang, Zhiyuan, additional, Qin, Ruomeng, additional, Mao, Chenglu, additional, Lv, Weiping, additional, Huang, Yanan, additional, Hu, Zheqi, additional, Zhang, Bing, additional, and Xu, Yun, additional

Published
2022
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26. Aberrant Multimodal Connectivity Pattern Involved in Default Mode Network and Limbic Network in Amyotrophic Lateral Sclerosis.

Author

Chen, Haifeng, Hu, Zheqi, Ke, Zhihong, Xu, Yun, Bai, Feng, and Liu, Zhuo

Subjects
*DEFAULT mode network, *AMYOTROPHIC lateral sclerosis, *FUNCTIONAL magnetic resonance imaging, *FRONTOPARIETAL network, *JOINTS (Engineering)
Abstract

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder that progressively affects bulbar and limb function. Despite increasing recognition of the disease as a multinetwork disorder characterized by aberrant structural and functional connectivity, its integrity agreement and its predictive value for disease diagnosis remain to be fully elucidated. In this study, we recruited 37 ALS patients and 25 healthy controls (HCs). High-resolution 3D T1-weighted imaging and resting-state functional magnetic resonance imaging were, respectively, applied to construct multimodal connectomes. Following strict neuroimaging selection criteria, 18 ALS and 25 HC patients were included. Network-based statistic (NBS) and the coupling of grey matter structural–functional connectivity (SC–FC coupling) were performed. Finally, the support vector machine (SVM) method was used to distinguish the ALS patients from HCs. Results showed that, compared with HCs, ALS individuals exhibited a significantly increased functional network, predominantly encompassing the connections between the default mode network (DMN) and the frontoparietal network (FPN). The increased structural connections predominantly involved the inter-regional connections between the limbic network (LN) and the DMN, the salience/ventral attention network (SVAN) and FPN, while the decreased structural connections mainly involved connections between the LN and the subcortical network (SN). We also found increased SC–FC coupling in DMN-related brain regions and decoupling in LN-related brain regions in ALS, which could differentiate ALS from HCs with promising capacity based on SVM. Our findings highlight that DMN and LN may play a vital role in the pathophysiological mechanism of ALS. Additionally, SC–FC coupling could be regarded as a promising neuroimaging biomarker for ALS and shows important clinical potential for early recognition of ALS individuals. [ABSTRACT FROM AUTHOR]

Published
2023
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