{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T16:50:18Z","timestamp":1791996618284,"version":"4.4.0"},"reference-count":73,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Frontiers in Neuroendocrinology"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1016\/j.yfrne.2022.100992","type":"journal-article","created":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T20:50:35Z","timestamp":1646859035000},"page":"100992","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":18,"special_numbering":"C","title":["Impairments in intrinsic functional networks in type 2 diabetes: A meta-analysis of resting-state functional connectivity"],"prefix":"10.1016","volume":"66","author":[{"given":"Jinli","family":"Meng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hailong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingxue","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingxiao","family":"Cao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanyuan","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongyue","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengyan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenghui","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wanlin","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunhong","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoqi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.yfrne.2022.100992_b0010","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1016\/j.neubiorev.2021.10.017","article-title":"Alterations in large-scale functional networks in adult posttraumatic stress disorder: A systematic review and meta-analysis of resting-state functional connectivity studies","volume":"131","author":"Bao","year":"2021","journal-title":"Neuroscience and biobehavioral reviews."},{"key":"10.1016\/j.yfrne.2022.100992_b0015","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1196\/annals.1440.011","article-title":"The brain's default network: anatomy, function, and relevance to disease","volume":"1124","author":"Buckner","year":"2008","journal-title":"Ann N Y Acad Sci."},{"issue":"5","key":"10.1016\/j.yfrne.2022.100992_bib381","doi-asserted-by":"crossref","first-page":"2322","DOI":"10.1152\/jn.00339.2011","article-title":"The organization of the human cerebellum estimated by intrinsic functional connectivity","volume":"106","author":"Buckner","year":"2011","journal-title":"J. Neurophysiol."},{"issue":"2","key":"10.1016\/j.yfrne.2022.100992_b0020","first-page":"83","article-title":"Comparative Multimodal Meta-analysis of Structural and Functional Brain Abnormalities in Autism Spectrum Disorder and Obsessive-Compulsive Disorder","volume":"82","author":"Carlisi","year":"2017","journal-title":"Comparative Multimodal Meta-analysis of Structural and Functional Brain Abnormalities in Autism Spectrum Disorder and Obsessive-Compulsive Disorder."},{"key":"10.1016\/j.yfrne.2022.100992_b0025","series-title":"Cognitive impairment and resting state brain default mode network study in type 2 diabetes","author":"Chen","year":"2013"},{"issue":"5","key":"10.1016\/j.yfrne.2022.100992_b0030","first-page":"321","article-title":"The functional connectivity of orbitofrontal cortex in type 2 diabetes: a resting-state fMRI study","volume":"8","author":"Chen","year":"2017","journal-title":"Chin J Magn Reson Imaging."},{"issue":"14","key":"10.1016\/j.yfrne.2022.100992_b0035","doi-asserted-by":"crossref","first-page":"4671","DOI":"10.1002\/hbm.25575","article-title":"Classification of type 2 diabetes mellitus with or without cognitive impairment from healthy controls using high-order functional connectivity","volume":"42","author":"Chen","year":"2021","journal-title":"Hum Brain Mapp."},{"issue":"5","key":"10.1016\/j.yfrne.2022.100992_b0040","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1007\/s11011-015-9700-2","article-title":"Thalamic resting-state functional connectivity: disruption in patients with type 2 diabetes","volume":"30","author":"Chen","year":"2015","journal-title":"Metabolic Brain Disease."},{"key":"10.1016\/j.yfrne.2022.100992_b0045","doi-asserted-by":"crossref","first-page":"233","DOI":"10.3389\/fnagi.2015.00233","article-title":"Selectively Disrupted Functional Connectivity Networks in Type 2 Diabetes Mellitus","volume":"7","author":"Chen","year":"2015","journal-title":"Frontiers in Aging Neuroscience."},{"key":"10.1016\/j.yfrne.2022.100992_b0050","unstructured":"Cheng PP. (2019). Aberrant brain functional connectivity in type 2 diabetes mellitus without cognitive impairment and cerebrovascular complications. M.S. thesis. Wuhan, China: Huazhong University of Science and Technology. (in Chinese)."},{"issue":"8","key":"10.1016\/j.yfrne.2022.100992_b0055","doi-asserted-by":"crossref","first-page":"2242","DOI":"10.1152\/jn.00270.2012","article-title":"The organization of the human striatum estimated by intrinsic functional connectivity","volume":"108","author":"Choi","year":"2012","journal-title":"J Neurophysiol."},{"issue":"11","key":"10.1016\/j.yfrne.2022.100992_b0070","doi-asserted-by":"crossref","first-page":"3238","DOI":"10.1007\/s00330-015-3746-8","article-title":"Aberrant functional connectivity of default-mode network in type 2 diabetes patients","volume":"25","author":"Cui","year":"2015","journal-title":"Eur Radiol."},{"key":"10.1016\/j.yfrne.2022.100992_b0075","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.neuroimage.2016.02.022","article-title":"Mapping the self in the brain's default mode network","volume":"132","author":"Davey","year":"2016","journal-title":"Neuroimage."},{"key":"10.1016\/j.yfrne.2022.100992_b0080","first-page":"270","article-title":"The functional connectivity of hypothalamus in T2DM patients: a resting-state fMRI study","volume":"7","author":"Deng","year":"2016","journal-title":"Chin J Magn Reson Imaging"},{"key":"10.1016\/j.yfrne.2022.100992_b0085","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1093\/schbul\/sbx034","article-title":"Dysfunction of Large-Scale Brain Networks in Schizophrenia: A Meta-analysis of Resting-State Functional Connectivity","volume":"44","author":"Dong","year":"2018","journal-title":"Schizophr Bull."},{"issue":"7","key":"10.1016\/j.yfrne.2022.100992_b0090","doi-asserted-by":"crossref","first-page":"3832","DOI":"10.1093\/cercor\/bhx050","article-title":"Working Memory Modulation of Frontoparietal Network Connectivity in First-Episode Schizophrenia","volume":"27","author":"Duemose","year":"2017","journal-title":"Cereb Cortex."},{"key":"10.1016\/j.yfrne.2022.100992_b0095","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1136\/bmj.315.7109.629","article-title":"Bias in meta-analysis detected by a simple","volume":"315","author":"Egger","year":"1997","journal-title":"BMJ."},{"key":"10.1016\/j.yfrne.2022.100992_b0105","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1210\/jc.2018-02319","article-title":"Compensatory Hippocampal Connectivity in Young Adults With Early-Stage Type 2 Diabetes","volume":"7","author":"Fang","year":"2019","journal-title":"Journal of Clinical Endocrinology & Metabolism."},{"key":"10.1016\/j.yfrne.2022.100992_b0110","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1016\/j.brainresbull.2017.01.009","article-title":"Changes in the cerebellar and cerebro-cerebellar circuit in type 2 diabetes","volume":"130","author":"Fang","year":"2017","journal-title":"Brain Res Bull."},{"key":"10.1016\/j.yfrne.2022.100992_b0115","doi-asserted-by":"crossref","first-page":"1584","DOI":"10.1162\/jocn_a_00230","article-title":"A sensorimotor network for the bodily self","volume":"24","author":"Ferri","year":"2012","journal-title":"J Cogn Neurosci."},{"issue":"15","key":"10.1016\/j.yfrne.2022.100992_b0120","doi-asserted-by":"crossref","first-page":"2475","DOI":"10.1017\/S003329171900237X","article-title":"Impairments of large-scale functional networks in attention-deficit\/hyperactivity disorder: a meta-analysis of resting-state functional connectivity","volume":"49","author":"Gao","year":"2019","journal-title":"Psychological medicine."},{"key":"10.1016\/j.yfrne.2022.100992_b0125","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.neubiorev.2018.01.016","article-title":"Frontoparietal areas link impairments of large-scale intrinsic brain networks with aberrant fronto-striatal interactions in OCD: a meta-analysis of resting-state functional connectivity","volume":"87","author":"G\u00fcrsel","year":"2018","journal-title":"Neurosci Biobehav Rev."},{"issue":"2","key":"10.1016\/j.yfrne.2022.100992_b0130","doi-asserted-by":"crossref","first-page":"728","DOI":"10.2337\/db13-1219","article-title":"Cerebral white matter integrity and resting-state functional connectivity in middle-aged patients with type 2 diabetes","volume":"63","author":"Hoogenboom","year":"2014","journal-title":"Diabetes."},{"key":"10.1016\/j.yfrne.2022.100992_b0135","first-page":"13","article-title":"Anisotropic Kernels for Coordinate-Based Meta-Analyses of Neuroimaging Studies","volume":"5","author":"Joaquim","year":"2014","journal-title":"Front Psychiatry."},{"key":"10.1016\/j.yfrne.2022.100992_b0140","first-page":"1796","article-title":"Functional connectivity network of postresting cingulate gyrus in patients with type 2 diabetes","volume":"37","author":"Juan","year":"2018","journal-title":"Journal of Clinical Radiology."},{"key":"10.1016\/j.yfrne.2022.100992_b0145","doi-asserted-by":"crossref","first-page":"603","DOI":"10.1001\/jamapsychiatry.2015.0071","article-title":"Large-Scale Network Dysfunction in Major Depressive Disorder: A Meta-analysis of Resting-State Functional Connectivity","volume":"72","author":"Kaiser","year":"2015","journal-title":"JAMA Psychiatry."},{"key":"10.1016\/j.yfrne.2022.100992_bib383","doi-asserted-by":"crossref","first-page":"49","DOI":"10.2147\/NDT.S95541","article-title":"Affective network and default mode network in depressive adolescents with disruptive behaviors","volume":"12","author":"Kim","year":"2015","journal-title":"Neuropsychiatr. Dis. Treat."},{"key":"10.1016\/j.yfrne.2022.100992_b0155","doi-asserted-by":"crossref","first-page":"856","DOI":"10.3389\/fnins.2020.00856","article-title":"Type 2 Diabetes Mellitus May Exacerbate Gray Matter Atrophy in Patients With Early-Onset Mild Cognitive Impairment","volume":"14","author":"Li","year":"2020","journal-title":"Front Neurosci."},{"key":"10.1016\/j.yfrne.2022.100992_b0160","doi-asserted-by":"crossref","unstructured":"Li, Y., Liang, Y., Tan, X., Chen, Y., and Qiu, S. (2020b). Altered Functional Hubs and Connectivity in Type 2 Diabetes Mellitus Without Mild Cognitive Impairment. Frontiers in neurology. 11, 1016. doi:10.3389\/fneur.2020.01016.","DOI":"10.3389\/fneur.2020.01016"},{"key":"10.1016\/j.yfrne.2022.100992_b0165","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/j.neubiorev.2020.07.004","article-title":"Aberrant Structural Connectivity in Childhood Maltreatment: A Meta-Analysis","volume":"116","author":"Lim","year":"2020","journal-title":"Neurosci Biobehav Rev."},{"key":"10.1016\/j.yfrne.2022.100992_b0170","unstructured":"Liu B.F. (2020). Magnetic resonance imaging study of brain structure and functional changes in type 2 diabetes mellitus patients with normal blood pressure. M.S. thesis. Lanzhou, China: Lanzhou University. doi:10.272204\/d.cnki.glzhu.2020.000575. (in Chinese)."},{"key":"10.1016\/j.yfrne.2022.100992_bib382","doi-asserted-by":"crossref","first-page":"181","DOI":"10.3389\/fnagi.2020.00181","article-title":"Aberrant Brain Spontaneous Activity and Synchronization in Type 2 Diabetes Mellitus Patients: A Resting-State Functional MRI Study","volume":"12","author":"Liu","year":"2020","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.yfrne.2022.100992_b0175","first-page":"490","article-title":"Aberrant Brain Regional Homogeneity and Functional Connectivity in Middle-Aged T2DM Patients: A Resting-State Functional MRI Study","volume":"10","author":"Liu","year":"2016","journal-title":"Frontiers in Human Neuroence."},{"key":"10.1016\/j.yfrne.2022.100992_b0180","doi-asserted-by":"crossref","first-page":"875","DOI":"10.3389\/fnins.2018.00875","article-title":"Disrupted balance of long-and short-range functional connectivity density in type 2 diabetes mellitus: A resting-state fMRI study","volume":"12","author":"Liu","year":"2018","journal-title":"Frontiers in Neuroscience."},{"key":"10.1016\/j.yfrne.2022.100992_b0185","doi-asserted-by":"crossref","first-page":"101629","DOI":"10.1016\/j.nicl.2018.101629","article-title":"Changes in default mode network connectivity in different glucose metabolism status and diabetes duration","volume":"21","author":"Liu","year":"2019","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.yfrne.2022.100992_b0190","article-title":"Regional Spontaneous Neural Activity Alterations in Type 2 Diabetes Mellitus: A Meta-Analysis of Resting-State Functional MRI Studies","volume":"13","author":"Liu","year":"2021","journal-title":"Front Aging Neurosci."},{"key":"10.1016\/j.yfrne.2022.100992_b0195","doi-asserted-by":"crossref","first-page":"161","DOI":"10.3389\/fnagi.2017.00161","article-title":"Reduced Gray Matter Volume in Patients with Type 2 Diabetes Mellitus","volume":"9","author":"Liu","year":"2017","journal-title":"Frontiers in aging neuroscience."},{"key":"10.1016\/j.yfrne.2022.100992_b0200","doi-asserted-by":"crossref","first-page":"390","DOI":"10.3389\/fnins.2017.00390","article-title":"Weaker functional connectivity strength in patients with type 2 diabetes mellitus","volume":"11","author":"Liu","year":"2017","journal-title":"Frontiers in Neuroscience."},{"key":"10.1016\/j.yfrne.2022.100992_b0205","unstructured":"Liu XB. (2016). Resting-state functional Brain magnetic resonance imaging Study in type 2 diabetic retinopathy. M.S. thesis. Bengbu, China: Bengbu Medical University. (in Chinese)."},{"key":"10.1016\/j.yfrne.2022.100992_b0210","series-title":"A resting-state functional MRI study of type 2 diabetes mellitus","author":"Lu","year":"2020"},{"key":"10.1016\/j.yfrne.2022.100992_b0215","doi-asserted-by":"crossref","first-page":"3112","DOI":"10.2337\/db13-1783","article-title":"Task-induced brain activity patterns in type 2 diabetes: a potential biomarker for cognitive decline","volume":"63","author":"Marder","year":"2014","journal-title":"Diabetes."},{"issue":"4","key":"10.1016\/j.yfrne.2022.100992_b0220","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.1016\/j.neuroimage.2007.03.058","article-title":"Unity and diversity of tonic and phasic executive control components in episodic and working memory","volume":"36","author":"Marklund","year":"2007","journal-title":"Neuroimage."},{"issue":"10","key":"10.1016\/j.yfrne.2022.100992_b0225","doi-asserted-by":"crossref","first-page":"1006","DOI":"10.1016\/j.jclinepi.2009.06.005","article-title":"Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement","volume":"62","author":"Moher","year":"2009","journal-title":"J Clin Epidemiol."},{"key":"10.1016\/j.yfrne.2022.100992_b0230","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.2337\/db11-1669","article-title":"Resting-State Brain Functional Connectivity Is Altered in Type 2 Diabetes","volume":"61","author":"Musen","year":"2012","journal-title":"Diabetes."},{"issue":"5","key":"10.1016\/j.yfrne.2022.100992_b0235","doi-asserted-by":"crossref","first-page":"2177","DOI":"10.1002\/hbm.23997","article-title":"Oscillatory dynamics in the dorsal and ventral attention networks during the reorienting of attention","volume":"39","author":"Proskovec","year":"2018","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.yfrne.2022.100992_b0240","series-title":"Functional magnetic resonance imaging study in certain brain diseases","author":"Peng","year":"2014"},{"key":"10.1016\/j.yfrne.2022.100992_b0245","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2021.621080","article-title":"Functional Disconnection of the Angular Gyrus Related to Cognitive Impairment in Patients With Type 2 Diabetes Mellitus","volume":"15","author":"Qi","year":"2021","journal-title":"Frontiers in Human Neuroscience."},{"key":"10.1016\/j.yfrne.2022.100992_b0250","first-page":"693","article-title":"Rs-fMRI changes of posterior cingulate cortex in type 2 diabetes mellitus patients with cognitive impairment","volume":"25","author":"Qin","year":"2016","journal-title":"Chin J Behav Med & Brain Sci."},{"key":"10.1016\/j.yfrne.2022.100992_b0255","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1192\/bjp.bp.108.055046","article-title":"Voxelwise meta-analysis of gray matter changes in obsessive-compulsive disorder","volume":"195","author":"Joaquim","year":"2009","journal-title":"Br J Psychiatry."},{"key":"10.1016\/j.yfrne.2022.100992_b0260","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1186\/2045-5380-2-6","article-title":"Meta-analytic methods for neuroimaging data explained","volume":"2","author":"Joaquim","year":"2012","journal-title":"Biol Mood Anxiety Disord."},{"issue":"4","key":"10.1016\/j.yfrne.2022.100992_b0265","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1007\/s00221-003-1398-4","article-title":"Enactment effect in memory: evidence concerning the function of the supramarginal gyrus","volume":"149","author":"Russ","year":"2003","journal-title":"Exp Brain Res"},{"issue":"10","key":"10.1016\/j.yfrne.2022.100992_b0270","doi-asserted-by":"crossref","first-page":"851","DOI":"10.1016\/j.tics.2019.07.003","article-title":"The Default Mode Network's Role in Discrete Emotion","volume":"23","author":"Satpute","year":"2019","journal-title":"Trends Cogn Sci."},{"issue":"3","key":"10.1016\/j.yfrne.2022.100992_b0275","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1176\/jnp.16.3.367","article-title":"Disorders of the cerebellum: ataxia, dysmetria of thought, and the cerebellar cognitive affective syndrome","volume":"16","author":"Schmahmann","year":"2004","journal-title":"J Neuropsychiatry Clin Neurosci."},{"issue":"2","key":"10.1016\/j.yfrne.2022.100992_b0280","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1002\/hbm.20531","article-title":"Functional connectivity of default mode network components: correlation, anticorrelation, and causality","volume":"30","author":"Uddin","year":"2009","journal-title":"Hum Brain Mapp"},{"issue":"3","key":"10.1016\/j.yfrne.2022.100992_b0285","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1523\/JNEUROSCI.4227-13.2014","article-title":"Precuneus is a functional core of the default-mode network","volume":"34","author":"Utevsky","year":"2014","journal-title":"J Neurosci"},{"key":"10.1016\/j.yfrne.2022.100992_b0290","first-page":"1138","article-title":"Magnetic resonance imaging study of hippocampal functional connectivity in type 2 diabetes patients","volume":"37","author":"Wang","year":"2020","journal-title":"Chinese Journal of Medical Physics."},{"key":"10.1016\/j.yfrne.2022.100992_b0295","first-page":"466","article-title":"Abnormal functional connectivity of the insula in type 2 diabetes mellitus:a resting\u2014state functional MRI study","volume":"31","author":"Wang","year":"2020","journal-title":"J Chin Clin Med Imaging."},{"key":"10.1016\/j.yfrne.2022.100992_b0305","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2016\/3978428","article-title":"Brain Activation during Memory Encoding in Type 2 Diabetes Mellitus: A Discordant Twin Pair Study","volume":"2016","author":"Wood","year":"2016","journal-title":"J Diabetes Res"},{"issue":"12","key":"10.1016\/j.yfrne.2022.100992_b0310","doi-asserted-by":"crossref","first-page":"1698","DOI":"10.1016\/j.jdiacomp.2017.09.001","article-title":"Brain gray matter changes in type 2 diabetes mellitus: A meta-analysis of whole-brain voxel-based morphometry study","volume":"31","author":"Wu","year":"2017","journal-title":"Journal of diabetes and its complications."},{"key":"10.1016\/j.yfrne.2022.100992_b0315","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1016\/j.jad.2017.12.012","article-title":"Disrupted functional connectivity of the amygdala is associated with depressive mood in type 2 diabetes patients","volume":"228","author":"Xia","year":"2017","journal-title":"Journal of Affective Disorders"},{"issue":"11","key":"10.1016\/j.yfrne.2022.100992_b0320","doi-asserted-by":"crossref","first-page":"2493","DOI":"10.1016\/j.psyneuen.2013.05.012","article-title":"Altered baseline brain activity in type 2 diabetes: a resting-state fMRI study","volume":"38","author":"Xia","year":"2013","journal-title":"Psychoneuroendocrinology."},{"key":"10.1016\/j.yfrne.2022.100992_b0325","doi-asserted-by":"crossref","first-page":"11148","DOI":"10.1038\/srep11148","article-title":"Disrupted resting-state attentional networks in T2DM patients","volume":"5","author":"Xia","year":"2015","journal-title":"Scientific Reports."},{"key":"10.1016\/j.yfrne.2022.100992_b0330","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1186\/s12944-015-0046-x","article-title":"Poorly controlled cholesterol is associated with cognitive impairment in T2DM: a resting-state fMRI study","volume":"14","author":"Xia","year":"2015","journal-title":"Lipids in Health and Disease."},{"key":"10.1016\/j.yfrne.2022.100992_b0335","doi-asserted-by":"crossref","first-page":"100915","DOI":"10.1016\/j.yfrne.2021.100915","article-title":"A multimodal meta-analysis of regional structural and functional brain alterations in type 2 diabetes","volume":"62","author":"Yao","year":"2021","journal-title":"Front Neuroendocrinol"},{"issue":"3","key":"10.1016\/j.yfrne.2022.100992_b0340","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Thomas Yeo","year":"2011","journal-title":"J Neurophysiol"},{"issue":"6","key":"10.1016\/j.yfrne.2022.100992_b0345","doi-asserted-by":"crossref","first-page":"1689","DOI":"10.2337\/dc13-2127","article-title":"Aberrant Brain Functional Connectivity Related to Insulin Resistance in Type 2 Diabetes: A Resting-State fMRI Study","volume":"37","author":"Chen","year":"2014","journal-title":"Diabetes Care."},{"key":"10.1016\/j.yfrne.2022.100992_b0350","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.1725","article-title":"Altered functional connectivity of brain regions based on a meta\u201dnalysis in patients with T2DM: A resting: tate fMRI study","volume":"10","author":"Zhang","year":"2020","journal-title":"Brain & Behavior"},{"key":"10.1016\/j.yfrne.2022.100992_b0355","article-title":"Altered Cerebellar-Cerebral Circuits in Patients With Type 2 Diabetes Mellitus","volume":"14","author":"Zhang","year":"2020","journal-title":"Frontiers in Neuroscience"},{"key":"10.1016\/j.yfrne.2022.100992_b0360","article-title":"Right frontoinsular cortex: a potential imaging biomarker to evaluate t2dm-induced cognitive impairment","volume":"13","author":"Zhang","year":"2021","journal-title":"Frontiers in Aging Neuroscience"},{"key":"10.1016\/j.yfrne.2022.100992_b0365","unstructured":"Zhang Q. (2015). A study of MRS, resting-state fMRI and the correlated with cognitive function on the left posterior cingulated cortex in patients with diabetic mellitus. M.S. thesis. Zunyi, China: Zunyi Medical University. (in Chinese)."},{"key":"10.1016\/j.yfrne.2022.100992_b0370","first-page":"482","article-title":"Resting-State Hippocampal Functional Connectivity in Patients with Type 2 Diabetes Mellitus","volume":"28","author":"Zhao","year":"2020","journal-title":"Chinese Journal of Medical Imaging."},{"issue":"1","key":"10.1016\/j.yfrne.2022.100992_b0375","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.neulet.2009.12.057","article-title":"Impairments in cognition and resting-state connectivity of the hippocampus in elderly subjects with type 2 diabetes","volume":"473","author":"Zhou","year":"2010","journal-title":"Neuroscience letters"},{"key":"10.1016\/j.yfrne.2022.100992_b0380","first-page":"96","article-title":"Executive dysfunction and altered cerebral functional network in type 2 diabetes mellitus:a study of resting-state functional MRI","volume":"3","author":"Zhu","year":"2020","journal-title":"Chinese Joumal of Alzheimer\u2019s Diseaseand Related Disorders."}],"container-title":["Frontiers in Neuroendocrinology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0091302222000152?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0091302222000152?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T04:21:10Z","timestamp":1758774070000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0091302222000152"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":73,"alternative-id":["S0091302222000152"],"URL":"https:\/\/doi.org\/10.1016\/j.yfrne.2022.100992","relation":{},"ISSN":["0091-3022"],"issn-type":[{"value":"0091-3022","type":"print"}],"subject":[],"published":{"date-parts":[[2022,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Impairments in intrinsic functional networks in type 2 diabetes: A meta-analysis of resting-state functional connectivity","name":"articletitle","label":"Article Title"},{"value":"Frontiers in Neuroendocrinology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.yfrne.2022.100992","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"100992"}}