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Xin H, Fu Y, Wen H, Feng M, Sui C, Gao Y, Guo L, Liang C. Cognition and motion dysfunction-associated brain functional network disruption in diabetic peripheral neuropathy. Hum Brain Mapp 2024; 45:e26563. [PMID: 38224534 PMCID: PMC10785193 DOI: 10.1002/hbm.26563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 10/31/2023] [Accepted: 11/28/2023] [Indexed: 01/17/2024] Open
Abstract
Neuroimaging studies have demonstrated extensive brain functional alterations in cognitive and motor functional areas in Type 2 diabetes mellitus (T2DM) with diabetic peripheral neuropathy (DPN), suggesting potential alterations in large-scale brain networks related to DPN and associated cognition and motor dysfunction. In this study, using resting-state functional connectivity (FC) and graph theory computational approaches, we investigated the topological disruptions of brain functional networks in 28 DPN, 43 T2DM without DPN (NDPN), and 32 healthy controls (HCs) and examined the correlations between altered network topological metrics and cognitive/motor function parameters in T2DM. For global topology, NDPN exhibited a significantly decreased shortest path length compared with HCs, suggesting increased efficient global integration. For regional topology, DPN and NDPN had separated topological reorganization of functional hubs compared with HCs. In addition, DPN showed significantly decreased nodal efficiency (Enodal ), mainly in the bilateral superior occipital gyrus (SOG), right cuneus, middle temporal gyrus (MTG), and left inferior parietal gyrus (IPL), compared with NDPN, whereas NDPN showed significantly increased Enodal compared with HCs. Intriguingly, in T2DM patients, the Enodal of the right SOG was significantly negatively correlated with Toronto Clinical Scoring System scores, while the Enodal of the right postcentral gyrus (PoCG) and MTG were significantly positively correlated with Montreal Cognitive Assessment scores. Conclusively, DPN and NDPN patients had segregated disruptions in the brain functional network, which were related to cognition and motion dysfunctions. Our findings provide a theoretical basis for understanding the neurophysiological mechanism of DPN and its effective prevention and treatment in T2DM.
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Affiliation(s)
- Haotian Xin
- Department of Radiology, Shandong Provincial HospitalShandong UniversityJinanChina
| | - Yajie Fu
- Department of Radiology, Shandong Provincial HospitalShandong UniversityJinanChina
- Department of Medical UltrasoundThe First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Abdominal Medical ImagingJinanChina
| | - Hongwei Wen
- Key Laboratory of Cognition and Personality (Ministry of Education), Faculty of PsychologySouthwest UniversityChongqingChina
| | - Mengmeng Feng
- Department of Radiology, Shandong Provincial HospitalShandong UniversityJinanChina
| | - Chaofan Sui
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain AgingMinistry of Education; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Yian Gao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain AgingMinistry of Education; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Lingfei Guo
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain AgingMinistry of Education; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Changhu Liang
- Department of Radiology, Shandong Provincial HospitalShandong UniversityJinanChina
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain AgingMinistry of Education; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityJinanChina
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Lin S, Wu P, Duan S, Du Q, Guo S, Chen Z, Wu N, Chen X, Xie T, Han Y, Zhao H. Altered functional brain networks in coronary heart disease: independent component analysis and graph theoretical analysis. Brain Struct Funct 2024; 229:133-142. [PMID: 37943310 DOI: 10.1007/s00429-023-02724-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/14/2023] [Indexed: 11/10/2023]
Abstract
Coronary heart disease (CHD) confers a high risk of cognitive and mental impairments in patients. This study aimed to explore the association of CHD with functional connectivity and topological properties of brain networks. A total of 27 patients with CHD and 44 healthy controls (HCs) participated in this study and underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. Intra- and internetwork functional connectivity alterations were explored using independent component analysis in CHD patients. Furthermore, graph theoretical analysis was adopted to assess abnormalities in small-world properties and network efficiency metrics of brain networks. Compared to HCs, CHD patients exhibited increased functional connectivity between the posterior default mode network and posterior visual network, as well as decreased functional connectivity between the left frontoparietal network and auditory network. In terms of graph theoretical analysis, small-world network topology was identified in both CHD patients and HCs. Furthermore, the nodal local efficiency of the left putamen was significantly decreased in CHD patients compared to HCs. This study revealed alterations in brain functional connectivity and topological properties in CHD patients, shedding light on the potential neurological mechanism underlying cognitive and mental impairments in these patients and suggesting unexplored connections between CHD and higher order cognitive processing.
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Affiliation(s)
- Simin Lin
- Department of Radiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361006, Fujian, China
| | - Puyeh Wu
- GE Healthcare, Beijing, 102600, China
| | - Shaoyin Duan
- Department of Radiology, Zhongshan Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361001, Fujian, China
| | - Qianni Du
- Department of Radiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361006, Fujian, China
| | - Shujia Guo
- Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China
| | - Zhishang Chen
- Department of Radiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361006, Fujian, China
| | - Naiming Wu
- Department of Radiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361006, Fujian, China
| | - Xiaoyan Chen
- Department of Radiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361006, Fujian, China
| | - Ting Xie
- Department of Radiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361006, Fujian, China
| | - Yi Han
- Fujian Provincial Key Laboratory of Ophthalmology and Visual Science, Eye Institute of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361102, Fujian, China.
- Department of Ophthalmology, The First Affiliated Hospital, Postdoctoral Mobile Station of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
| | - Hengyu Zhao
- Department of Radiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, 361006, Fujian, China.
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Lin L, Zhang J, Liu Y, Hao X, Shen J, Yu Y, Xu H, Cong F, Li H, Wu J. Aberrant brain functional networks in type 2 diabetes mellitus: A graph theoretical and support-vector machine approach. Front Hum Neurosci 2022; 16:974094. [PMID: 36310847 PMCID: PMC9597867 DOI: 10.3389/fnhum.2022.974094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/23/2022] [Indexed: 11/23/2022] Open
Abstract
Objective Type 2 diabetes mellitus (T2DM) is a high risk of cognitive decline and dementia, but the underlying mechanisms are not yet clearly understood. This study aimed to explore the functional connectivity (FC) and topological properties among whole brain networks and correlations with impaired cognition and distinguish T2DM from healthy controls (HC) to identify potential biomarkers for cognition abnormalities. Methods A total of 80 T2DM and 55 well-matched HC were recruited in this study. Subjects’ clinical data, neuropsychological tests and resting-state functional magnetic resonance imaging data were acquired. Whole-brain network FC were mapped, the topological characteristics were analyzed using a graph-theoretic approach, the FC and topological characteristics of the network were compared between T2DM and HC using a general linear model, and correlations between networks and clinical and cognitive characteristics were identified. The support vector machine (SVM) model was used to identify differences between T2DM and HC. Results In patients with T2DM, FC was higher in two core regions [precuneus/posterior cingulated cortex (PCC)_1 and later prefrontal cortex_1] in the default mode network and lower in bilateral superior parietal lobes (within dorsal attention network), and decreased between the right medial frontal cortex and left auditory cortex. The FC of the right frontal medial-left auditory cortex was positively correlated with the Montreal Cognitive Assessment scales and negatively correlated with the blood glucose levels. Long-range connectivity between bilateral auditory cortex was missing in the T2DM. The nodal degree centrality and efficiency of PCC were higher in T2DM than in HC (P < 0.005). The nodal degree centrality in the PCC in the SVM model was 97.56% accurate in distinguishing T2DM patients from HC, demonstrating the reliability of the prediction model. Conclusion Functional abnormalities in the auditory cortex in T2DM may be related to cognitive impairment, such as memory and attention, and nodal degree centrality in the PCC might serve as a potential neuroimaging biomarker to predict and identify T2DM.
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Affiliation(s)
- Lin Lin
- Graduate School, Tianjin Medical University, Tianjin, China
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Jindi Zhang
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Yutong Liu
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Xinyu Hao
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Jing Shen
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Yang Yu
- Department of Endocrinology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Huashuai Xu
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Fengyu Cong
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
| | - Huanjie Li
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
- School of Biomedical Engineering, Dalian University of Technology, Dalian, China
- Huanjie Li,
| | - Jianlin Wu
- Department of Radiology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China
- *Correspondence: Jianlin Wu,
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Li ZY, Ma T, Yu Y, Hu B, Han Y, Xie H, Ni MH, Chen ZH, Zhang YM, Huang YX, Li WH, Wang W, Yan LF, Cui GB. Changes of brain function in patients with type 2 diabetes mellitus measured by different analysis methods: A new coordinate-based meta-analysis of neuroimaging. Front Neurol 2022; 13:923310. [PMID: 36090859 PMCID: PMC9449648 DOI: 10.3389/fneur.2022.923310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 07/11/2022] [Indexed: 11/22/2022] Open
Abstract
Objective Neuroimaging meta-analysis identified abnormal neural activity alterations in patients with type 2 diabetes mellitus (T2DM), but there was no consistency or heterogeneity analysis between different brain imaging processing strategies. The aim of this meta-analysis was to determine consistent changes of regional brain functions in T2DM via the indicators obtained by using different post-processing methods. Methods Since the indicators obtained using varied post-processing methods reflect different neurophysiological and pathological characteristics, we further conducted a coordinate-based meta-analysis (CBMA) of the two categories of neuroimaging literature, which were grouped according to similar data processing methods: one group included regional homogeneity (ReHo), independent component analysis (ICA), and degree centrality (DC) studies, while the other group summarized the literature on amplitude of low-frequency fluctuation (ALFF) and cerebral blood flow (CBF). Results The final meta-analysis included 23 eligible trials with 27 data sets. Compared with the healthy control group, when neuroimaging studies were combined with ReHo, ICA, and DC measurements, the brain activity of the right Rolandic operculum, right supramarginal gyrus, and right superior temporal gyrus in T2DM patients decreased significantly. When neuroimaging studies were combined with ALFF and CBF measurements, there was no clear evidence of differences in the brain function between T2DM and HCs. Conclusion T2DM patients have a series of spontaneous abnormal brain activities, mainly involving brain regions related to learning, memory, and emotion, which provide early biomarkers for clarifying the mechanism of cognitive impairment and neuropsychiatric disorders in diabetes. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=247071, PROSPERO [CRD42021247071].
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Affiliation(s)
- Ze-Yang Li
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Teng Ma
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Ying Yu
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Bo Hu
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Yu Han
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Hao Xie
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Min-Hua Ni
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
- Faculty of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Zhu-Hong Chen
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
| | - Yang-Ming Zhang
- Battalion of the Second Regiment of Cadets of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Yu-Xiang Huang
- Battalion of the Second Regiment of Cadets of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Wen-Hua Li
- Battalion of the Second Regiment of Cadets of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Wen Wang
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
- *Correspondence: Guang-Bin Cui ;
| | - Lin-Feng Yan
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
- Lin-Feng Yan
| | - Guang-Bin Cui
- Department of Radiology, Functional and Molecular Imaging Key Lab of Shaanxi Province, Tangdu Hospital, Fourth Military Medical University, Xi'an, China
- Wen Wang
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