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Altered Intranetwork and Internetwork Functional Connectivity in Type 2 Diabetes Mellitus With and Without Cognitive Impairment

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单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Dept Radiol, Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China [2]Huazhong Univ Sci & Technol, Sch Basic Med, Dept Pathophysiol, Wuhan 430030, Hubei, Peoples R China [3]Huazhong Univ Sci & Technol, Collaborat Innovat Ctr Brain Sci, Key Lab Neurol Dis, Educ Minist China,Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China [4]Wuhan Gen Hosp Guangzhou Command, Dept Neurol, Wuhan 430070, Hubei, Peoples R China [5]Southern Med Univ, Sch Biomed Engn, Guangzhou 510515, Guangdong, Peoples R China [6]Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China [7]Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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Type 2 diabetes mellitus (T2DM) is associated with cognitive impairment. We investigated whether alterations of intranetwork and internetwork functional connectivity with T2DM progression exist, by using resting-state functional MRI. MRI data were analysed from 19 T2DM patients with normal cognition (DMCN) and 19 T2DM patients with cognitive impairment (DMCI), 19 healthy controls (HC). Functional connectivity among 36 previously well-defined brain regions which consisted of 5 resting-state network (RSN) systems [default mode network (DMN), dorsal attention network (DAN), control network (CON), salience network (SAL) and sensorimotor network (SMN)] was investigated at 3 levels (integrity, network and connectivity). Impaired intranetwork and internetwork connectivity were found in T2DM, especially in DMCI, on the basis of the three levels of analysis. The bilateral posterior cerebellum, the right insula, the DMN and the CON were mainly involved in these changes. The functional connectivity strength of specific brain architectures in T2DM was found to be associated with haemoglobin A1c (HbA1c), cognitive score and illness duration. These network alterations in intergroup differences, which were associated with brain functional impairment due to T2DM, indicate that network organizations might be potential biomarkers for predicting the clinical progression, evaluating the cognitive impairment, and further understanding the pathophysiology of T2DM.

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出版当年[2015]版:
大类 | 2 区 综合性期刊
小类 | 2 区 综合性期刊
最新[2025]版:
大类 | 3 区 综合性期刊
小类 | 3 区 综合性期刊
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出版当年[2014]版:
Q1 MULTIDISCIPLINARY SCIENCES
最新[2023]版:
Q1 MULTIDISCIPLINARY SCIENCES

影响因子: 最新[2023版] 最新五年平均 出版当年[2014版] 出版当年五年平均 出版前一年[2013版] 出版后一年[2015版]

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第一作者单位: [1]Huazhong Univ Sci & Technol, Tongji Hosp, Dept Radiol, Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China
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通讯机构: [2]Huazhong Univ Sci & Technol, Sch Basic Med, Dept Pathophysiol, Wuhan 430030, Hubei, Peoples R China [3]Huazhong Univ Sci & Technol, Collaborat Innovat Ctr Brain Sci, Key Lab Neurol Dis, Educ Minist China,Tongji Med Coll, Wuhan 430030, Hubei, Peoples R China [6]Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing 100190, Peoples R China [7]Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
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