Jinli Meng , Jing Liu , Hailong Li , Yingxue Gao , Lingxiao Cao , Yuanyuan He , Yongyue Guo , Li Feng , Xin Hu , Hengyan Li , Chenghui Zhang , Wanlin He , Yunhong Wu , Xiaoqi Huang
{"title":"2型糖尿病内在功能网络的损伤:静息状态功能连接的荟萃分析","authors":"Jinli Meng , Jing Liu , Hailong Li , Yingxue Gao , Lingxiao Cao , Yuanyuan He , Yongyue Guo , Li Feng , Xin Hu , Hengyan Li , Chenghui Zhang , Wanlin He , Yunhong Wu , Xiaoqi Huang","doi":"10.1016/j.yfrne.2022.100992","DOIUrl":null,"url":null,"abstract":"<div><p>Type 2 diabetes mellitus (T2DM) is associated with abnormal communication among large-scale brain networks, revealed by resting-state functional connectivity (rsFC), with inconsistent results between studies. We performed a meta-analysis of seed-based rsFC studies to identify consistent network connectivity alterations. Thirty-three datasets from 30 studies (1014 T2DM patients and 902 healthy controls [HC]) were included. Seed coordinates and between-group effects were extracted, and the seeds were divided into networks based on their location. Compared to HC, T2DM patients showed hyperconnectivity and hypoconnectivity within the DMN, DMN hypoconnectivity with the affective network (AN), ventral attention network (VAN) and frontal parietal network, and DMN hyperconnectivity with the VAN and visual network. T2DM patients also showed AN hypoconnectivity with the somatomotor network and hyperconnectivity with the VAN. T2DM illness durations negatively correlated with within-DMN rsFC. These DMN-centered impairments in large-scale brain networks in T2DM patients may help to explain the cognitive deficits associated with T2DM.</p></div>","PeriodicalId":12469,"journal":{"name":"Frontiers in Neuroendocrinology","volume":"66 ","pages":"Article 100992"},"PeriodicalIF":6.5000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Impairments in intrinsic functional networks in type 2 diabetes: A meta-analysis of resting-state functional connectivity\",\"authors\":\"Jinli Meng , Jing Liu , Hailong Li , Yingxue Gao , Lingxiao Cao , Yuanyuan He , Yongyue Guo , Li Feng , Xin Hu , Hengyan Li , Chenghui Zhang , Wanlin He , Yunhong Wu , Xiaoqi Huang\",\"doi\":\"10.1016/j.yfrne.2022.100992\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Type 2 diabetes mellitus (T2DM) is associated with abnormal communication among large-scale brain networks, revealed by resting-state functional connectivity (rsFC), with inconsistent results between studies. We performed a meta-analysis of seed-based rsFC studies to identify consistent network connectivity alterations. Thirty-three datasets from 30 studies (1014 T2DM patients and 902 healthy controls [HC]) were included. Seed coordinates and between-group effects were extracted, and the seeds were divided into networks based on their location. Compared to HC, T2DM patients showed hyperconnectivity and hypoconnectivity within the DMN, DMN hypoconnectivity with the affective network (AN), ventral attention network (VAN) and frontal parietal network, and DMN hyperconnectivity with the VAN and visual network. T2DM patients also showed AN hypoconnectivity with the somatomotor network and hyperconnectivity with the VAN. T2DM illness durations negatively correlated with within-DMN rsFC. These DMN-centered impairments in large-scale brain networks in T2DM patients may help to explain the cognitive deficits associated with T2DM.</p></div>\",\"PeriodicalId\":12469,\"journal\":{\"name\":\"Frontiers in Neuroendocrinology\",\"volume\":\"66 \",\"pages\":\"Article 100992\"},\"PeriodicalIF\":6.5000,\"publicationDate\":\"2022-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Neuroendocrinology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0091302222000152\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Neuroendocrinology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0091302222000152","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Impairments in intrinsic functional networks in type 2 diabetes: A meta-analysis of resting-state functional connectivity
Type 2 diabetes mellitus (T2DM) is associated with abnormal communication among large-scale brain networks, revealed by resting-state functional connectivity (rsFC), with inconsistent results between studies. We performed a meta-analysis of seed-based rsFC studies to identify consistent network connectivity alterations. Thirty-three datasets from 30 studies (1014 T2DM patients and 902 healthy controls [HC]) were included. Seed coordinates and between-group effects were extracted, and the seeds were divided into networks based on their location. Compared to HC, T2DM patients showed hyperconnectivity and hypoconnectivity within the DMN, DMN hypoconnectivity with the affective network (AN), ventral attention network (VAN) and frontal parietal network, and DMN hyperconnectivity with the VAN and visual network. T2DM patients also showed AN hypoconnectivity with the somatomotor network and hyperconnectivity with the VAN. T2DM illness durations negatively correlated with within-DMN rsFC. These DMN-centered impairments in large-scale brain networks in T2DM patients may help to explain the cognitive deficits associated with T2DM.
期刊介绍:
Frontiers in Neuroendocrinology (FIN) publishes a wide range of informative articles including comprehensive reviews, systematic reviews, opinion pieces, and meta-analyses. While the majority of reviews are invited, we also embrace unsolicited reviews and meta-analyses, as well as proposals for thematic special issues, provided they meet our rigorous quality standards. In addition, we encourage authors to submit commentaries that concisely present fresh ideas or offer further analysis to delve deeper into the implications of an article published in our journal.