{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T11:27:38Z","timestamp":1774956458418,"version":"3.50.1"},"reference-count":53,"publisher":"The Endocrine Society","issue":"1","license":[{"start":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T00:00:00Z","timestamp":1568246400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01DK020495"],"award-info":[{"award-number":["R01DK020495"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["P30 DK045735"],"award-info":[{"award-number":["P30 DK045735"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["R01DK099039"],"award-info":[{"award-number":["R01DK099039"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["K23DK109284"],"award-info":[{"award-number":["K23DK109284"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["K08AA023545"],"award-info":[{"award-number":["K08AA023545"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["K23DK098286"],"award-info":[{"award-number":["K23DK098286"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Clinical Translational Science","award":["UL1 RR024139"],"award-info":[{"award-number":["UL1 RR024139"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,1,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Context<\/jats:title>\n                  <jats:p>Individuals with type 1 diabetes mellitus (T1DM) have alterations in brain activity that have been postulated to contribute to the adverse neurocognitive consequences of T1DM; however, the impact of T1DM and hypoglycemic unawareness on the brain\u2019s resting state activity remains unclear.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>To determine whether individuals with T1DM and hypoglycemia unawareness (T1DM-Unaware) had changes in the brain resting state functional connectivity compared to healthy controls (HC) and those with T1DM and hypoglycemia awareness (T1DM-Aware).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design<\/jats:title>\n                  <jats:p>Observational study.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Setting<\/jats:title>\n                  <jats:p>Academic medical center.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Participants<\/jats:title>\n                  <jats:p>27 individuals with T1DM and 12 HC volunteers participated in the study.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Intervention<\/jats:title>\n                  <jats:p>All participants underwent blood oxygenation level dependent (BOLD) resting state functional magnetic brain imaging during a 2-step hyperinsulinemic euglycemic (90 mg\/dL)\u2013hypoglycemic (60 mg\/dL) clamp.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Outcome<\/jats:title>\n                  <jats:p>Changes in resting state functional connectivity.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Using 2 separate methods of functional connectivity analysis, we identified distinct differences in the resting state brain responses to mild hypoglycemia between HC, T1DM-Aware, and T1DM-Unaware participants, particularly in the angular gyrus, an integral component of the default mode network (DMN). Furthermore, changes in angular gyrus connectivity also correlated with greater symptoms of hypoglycemia (r = 0.461, P = 0.003) as well as higher scores of perceived stress (r = 0.531, P = 0.016).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>These findings provide evidence that individuals with T1DM have changes in the brain\u2019s resting state connectivity patterns, which may be further associated with differences in awareness to hypoglycemia. These changes in connectivity may be associated with alterations in functional outcomes among individuals with T1DM.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1210\/clinem\/dgz004","type":"journal-article","created":{"date-parts":[[2019,9,12]],"date-time":"2019-09-12T08:48:49Z","timestamp":1568278129000},"page":"1-13","source":"Crossref","is-referenced-by-count":24,"title":["Differential Resting State Connectivity Responses to Glycemic State in Type 1 Diabetes"],"prefix":"10.1210","volume":"105","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3259-3560","authenticated-orcid":false,"given":"Lisa","family":"Parikh","sequence":"first","affiliation":[{"name":"Section of Endocrinology, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongju","family":"Seo","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cheryl","family":"Lacadie","sequence":"additional","affiliation":[{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renata","family":"Belfort-Deaguiar","sequence":"additional","affiliation":[{"name":"Section of Endocrinology, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Derek","family":"Groskreutz","sequence":"additional","affiliation":[{"name":"Section of Endocrinology, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Hamza","sequence":"additional","affiliation":[{"name":"Section of Endocrinology, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Dai","sequence":"additional","affiliation":[{"name":"Yale Center for Analytical Sciences, Yale School of Public Health, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6301-1167","authenticated-orcid":false,"given":"Dustin","family":"Scheinost","sequence":"additional","affiliation":[{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajita","family":"Sinha","sequence":"additional","affiliation":[{"name":"Department of Psychiatry, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R","family":"Todd Constable","sequence":"additional","affiliation":[{"name":"Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Sherwin","sequence":"additional","affiliation":[{"name":"Section of Endocrinology, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Janice Jin","family":"Hwang","sequence":"additional","affiliation":[{"name":"Section of Endocrinology, Yale School of Medicine, New Haven, CT, US"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"80","published-online":{"date-parts":[[2019,9,12]]},"reference":[{"key":"2021121823053427800_CIT0001","doi-asserted-by":"crossref","first-page":"726","DOI":"10.2337\/diacare.28.3.726","article-title":"The effects of type 1 diabetes on cognitive performance: a meta-analysis","volume":"28","author":"Brands","year":"2005","journal-title":"Diabetes Care."},{"key":"2021121823053427800_CIT0002","doi-asserted-by":"crossref","first-page":"1800","DOI":"10.2337\/db05-1226","article-title":"Cognitive performance, psychological well-being, and brain magnetic resonance imaging in older patients with type 1 diabetes","volume":"55","author":"Brands","year":"2006","journal-title":"Diabetes."},{"key":"2021121823053427800_CIT0003","doi-asserted-by":"crossref","first-page":"1842","DOI":"10.1056\/NEJMoa066397","article-title":"Long-term effect of diabetes and its treatment on cognitive function","volume":"356","author":"Jacobson","year":"2007","journal-title":"N Engl J Med."},{"key":"2021121823053427800_CIT0004","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1210\/er.2007-0034","article-title":"Cognitive dysfunction and diabetes mellitus","volume":"29","author":"Kodl","year":"2008","journal-title":"Endocrine Rev."},{"key":"2021121823053427800_CIT0005","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1007\/s00592-018-1172-5","article-title":"Prevalence and predictors of depression and anxiety in adult patients with type 1 diabetes in tertiary care setting","volume":"55","author":"Castellano-Guerrero","year":"2018","journal-title":"Acta Diabetologica."},{"key":"2021121823053427800_CIT0006","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1001\/jamaophthalmol.2016.2213","article-title":"Association between diabetes-related eye complications and symptoms of anxiety and depression","volume":"134","author":"Rees","year":"2016","journal-title":"JAMA Ophthalmol"},{"key":"2021121823053427800_CIT0007","doi-asserted-by":"crossref","first-page":"585","DOI":"10.2337\/diacare.20.4.585","article-title":"Levels and risks of depression and anxiety symptomatology among diabetic adults","volume":"20","author":"Peyrot","year":"1997","journal-title":"Diabetes Care"},{"key":"2021121823053427800_CIT0008","doi-asserted-by":"crossref","first-page":"3256","DOI":"10.2337\/db11-0506","article-title":"Brain activation during working memory is altered in patients with type 1 diabetes during hypoglycemia","volume":"60","author":"Bolo","year":"2011","journal-title":"Diabetes."},{"key":"2021121823053427800_CIT0009","doi-asserted-by":"crossref","first-page":"1485","DOI":"10.1172\/JCI97696","article-title":"Hypoglycemia unawareness in type 1 diabetes suppresses brain responses to hypoglycemia","volume":"128","author":"Hwang","year":"2018","journal-title":"J Clin Invest."},{"key":"2021121823053427800_CIT0010","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1038\/nrneurol.2009.198","article-title":"Disease and the brain\u2019s dark energy","volume":"6","author":"Zhang","year":"2010","journal-title":"Nat Rev Neurol."},{"key":"2021121823053427800_CIT0011","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1146\/annurev.neuro.29.051605.112819","article-title":"Brain work and brain imaging","volume":"29","author":"Raichle","year":"2006","journal-title":"Ann Rev Neurosci."},{"key":"2021121823053427800_CIT0012","doi-asserted-by":"crossref","first-page":"1079","DOI":"10.1016\/j.biopsych.2005.02.021","article-title":"Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study","volume":"57","author":"Anand","year":"2005","journal-title":"Biol Psychiatry"},{"key":"2021121823053427800_CIT0013","doi-asserted-by":"crossref","first-page":"55","DOI":"10.3389\/fnagi.2018.00055","article-title":"Altered Brain functional hubs and connectivity in type 2 diabetes mellitus patients: a resting-state fMRI study","volume":"10","author":"Liu","year":"2018","journal-title":"Front Aging Neurosci"},{"key":"2021121823053427800_CIT0014","doi-asserted-by":"crossref","first-page":"754","DOI":"10.2337\/db16-0414","article-title":"Compensatory hyperconnectivity in developing brains of young children with type 1 diabetes","volume":"66","author":"Saggar","year":"2017","journal-title":"Diabetes."},{"key":"2021121823053427800_CIT0015","doi-asserted-by":"crossref","first-page":"1814","DOI":"10.2337\/db11-1358","article-title":"Resting-state brain networks in type 1 diabetic patients with and without microangiopathy and their relation to cognitive functions and disease variables","volume":"61","author":"van Duinkerken","year":"2012","journal-title":"Diabetes."},{"key":"2021121823053427800_CIT0016","doi-asserted-by":"crossref","first-page":"11012","DOI":"10.1523\/JNEUROSCI.0319-15.2015","article-title":"Functional connectivity of insula, basal ganglia, and prefrontal executive control networks during hypoglycemia in type 1 diabetes","volume":"35","author":"Bolo","year":"2015","journal-title":"J Neurosci."},{"key":"2021121823053427800_CIT0017","doi-asserted-by":"crossref","first-page":"517","DOI":"10.2337\/diacare.18.4.517","article-title":"Reduced awareness of hypoglycemia in adults with IDDM. A prospective study of hypoglycemic frequency and associated symptoms","volume":"18","author":"Clarke","year":"1995","journal-title":"Diabetes Care."},{"key":"2021121823053427800_CIT0018","doi-asserted-by":"crossref","first-page":"697","DOI":"10.2337\/diacare.17.7.697","article-title":"Frequency of severe hypoglycemia in patients with type I diabetes with impaired awareness of hypoglycemia","volume":"17","author":"Gold","year":"1994","journal-title":"Diabetes Care."},{"key":"2021121823053427800_CIT0019","doi-asserted-by":"crossref","first-page":"4161","DOI":"10.1172\/JCI57873","article-title":"Circulating glucose levels modulate neural control of desire for high-calorie foods in humans","volume":"121","author":"Page","year":"2011","journal-title":"J Clin Invest."},{"key":"2021121823053427800_CIT0020","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1007\/BF00401150","article-title":"Partitioning the symptoms of hypoglycaemia using multi-sample confirmatory factor analysis","volume":"36","author":"Deary","year":"1993","journal-title":"Diabetologia."},{"key":"2021121823053427800_CIT0021","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.jneumeth.2016.03.001","article-title":"The first step for neuroimaging data analysis: DICOM to NIfTI conversion","volume":"264","author":"Li","year":"2016","journal-title":"J Neurosci Methods."},{"key":"2021121823053427800_CIT0022","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.neuroimage.2006.07.012","article-title":"Reducing interscanner variability of activation in a multicenter fMRI study: controlling for signal-to-fluctuation-noise-ratio (SFNR) differences","volume":"33","author":"Friedman","year":"2006","journal-title":"NeuroImage."},{"key":"2021121823053427800_CIT0023","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.neuroimage.2014.03.035","article-title":"The impact of image smoothness on intrinsic functional connectivity and head motion confounds","volume":"95","author":"Scheinost","year":"2014","journal-title":"NeuroImage"},{"key":"2021121823053427800_CIT0024","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s12021-010-9092-8","article-title":"Unified framework for development, deployment and robust testing of neuroimaging algorithms","volume":"9","author":"Joshi","year":"2011","journal-title":"Neuroinformatics."},{"key":"2021121823053427800_CIT0025","doi-asserted-by":"crossref","first-page":"1510","DOI":"10.1016\/j.neuroimage.2012.05.073","article-title":"The intrinsic connectivity distribution: a novel contrast measure reflecting voxel level functional connectivity","volume":"62","author":"Scheinost","year":"2012","journal-title":"NeuroImage."},{"key":"2021121823053427800_CIT0026","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1523\/JNEUROSCI.5062-08.2009","article-title":"Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer\u2019s disease","volume":"29","author":"Buckner","year":"2009","journal-title":"J Neurosci."},{"key":"2021121823053427800_CIT0027","first-page":"534","article-title":"Alterations in anatomical covariance in the prematurely born","volume":"27","author":"Scheinost","year":"2017","journal-title":"Cerebral Cortex."},{"key":"2021121823053427800_CIT0028","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1038\/nn.4500","article-title":"Best practices in data analysis and sharing in neuroimaging using MRI","volume":"20","author":"Nichols","year":"2017","journal-title":"Nat Neurosci."},{"key":"2021121823053427800_CIT0029","doi-asserted-by":"crossref","first-page":"7900","DOI":"10.1073\/pnas.1602413113","article-title":"Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates","volume":"113","author":"Eklund","year":"2016","journal-title":"Proc Natl Acad Sci U S A."},{"key":"2021121823053427800_CIT0030","doi-asserted-by":"crossref","first-page":"e93544","DOI":"10.1371\/journal.pone.0093544","article-title":"Coupled intrinsic connectivity distribution analysis: a method for exploratory connectivity analysis of paired FMRI data","volume":"9","author":"Scheinost","year":"2014","journal-title":"PLoS One."},{"key":"2021121823053427800_CIT0031","doi-asserted-by":"crossref","first-page":"14496","DOI":"10.1523\/JNEUROSCI.4004-09.2009","article-title":"Investigating the functional heterogeneity of the default mode network using coordinate-based meta-analytic modeling","volume":"29","author":"Laird","year":"2009","journal-title":"J Neurosci."},{"key":"2021121823053427800_CIT0032","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/S0361-9230(00)00437-8","article-title":"Cortical networks for working memory and executive functions sustain the conscious resting state in man","volume":"54","author":"Mazoyer","year":"2001","journal-title":"Brain Res Bull"},{"key":"2021121823053427800_CIT0033","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1162\/jocn.1997.9.5.648","article-title":"Common blood flow changes across visual tasks: II. Decreases in cerebral cortex","volume":"9","author":"Shulman","year":"1997","journal-title":"J Cogn Neurosci."},{"key":"2021121823053427800_CIT0034","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1162\/jocn.2008.21029","article-title":"The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: a quantitative meta-analysis","volume":"21","author":"Spreng","year":"2009","journal-title":"J Cogn Neurosci."},{"key":"2021121823053427800_CIT0035","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1146\/annurev-neuro-071013-014030","article-title":"The brain\u2019s default mode network","volume":"38","author":"Raichle","year":"2015","journal-title":"Annu Rev Neurosci."},{"key":"2021121823053427800_CIT0036","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1073\/pnas.98.2.676","article-title":"A default mode of brain function","volume":"98","author":"Raichle","year":"2001","journal-title":"Proc Natl Acad Sci U S A."},{"key":"2021121823053427800_CIT0037","doi-asserted-by":"crossref","first-page":"1178","DOI":"10.1016\/j.neuroimage.2008.05.059","article-title":"The precuneus\/posterior cingulate cortex plays a pivotal role in the default mode network: evidence from a partial correlation network analysis","volume":"42","author":"Fransson","year":"2008","journal-title":"NeuroImage."},{"key":"2021121823053427800_CIT0038","doi-asserted-by":"crossref","first-page":"385","DOI":"10.2307\/2136404","article-title":"A global measure of perceived stress","volume":"24","author":"Cohen","year":"1983","journal-title":"J Health Soc Behav."},{"key":"2021121823053427800_CIT0039","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1177\/1073858412440596","article-title":"The angular gyrus: multiple functions and multiple subdivisions","volume":"19","author":"Seghier","year":"2013","journal-title":"Neuroscientist."},{"key":"2021121823053427800_CIT0040","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.1002\/hbm.20950","article-title":"Neural representation of abstract and concrete concepts: a meta-analysis of neuroimaging studies","volume":"31","author":"Wang","year":"2010","journal-title":"Hum Brain Mapp."},{"key":"2021121823053427800_CIT0041","doi-asserted-by":"crossref","first-page":"1648","DOI":"10.1016\/j.neuroimage.2010.01.051","article-title":"Dissociating the roles of the default-mode, dorsal, and ventral networks in episodic memory retrieval","volume":"50","author":"Kim","year":"2010","journal-title":"NeuroImage."},{"key":"2021121823053427800_CIT0042","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.neuron.2006.12.009","article-title":"From thought to action: the parietal cortex as a bridge between perception, action, and cognition","volume":"53","author":"Gottlieb","year":"2007","journal-title":"Neuron."},{"key":"2021121823053427800_CIT0043","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.nicl.2014.06.001","article-title":"Changes in MEG resting-state networks are related to cognitive decline in type 1 diabetes mellitus patients","volume":"5","author":"Demuru","year":"2014","journal-title":"Neuroimage Clin."},{"key":"2021121823053427800_CIT0044","doi-asserted-by":"crossref","first-page":"2335","DOI":"10.2337\/db09-0425","article-title":"Functional brain connectivity and neurocognitive functioning in patients with long-standing type 1 diabetes with and without microvascular complications: a magnetoencephalography study","volume":"58","author":"van Duinkerken","year":"2009","journal-title":"Diabetes."},{"key":"2021121823053427800_CIT0045","doi-asserted-by":"crossref","first-page":"1612","DOI":"10.1093\/brain\/awq058","article-title":"Resting state networks change in clinically isolated syndrome","volume":"133","author":"Roosendaal","year":"2010","journal-title":"Brain."},{"key":"2021121823053427800_CIT0046","doi-asserted-by":"crossref","first-page":"1726","DOI":"10.1056\/NEJM199512283332602","article-title":"Brain glucose uptake and unawareness of hypoglycemia in patients with insulin-dependent diabetes mellitus","volume":"333","author":"Boyle","year":"1995","journal-title":"N Engl J Med."},{"key":"2021121823053427800_CIT0047","doi-asserted-by":"crossref","first-page":"9352","DOI":"10.1073\/pnas.91.20.9352","article-title":"Adaptation in brain glucose uptake following recurrent hypoglycemia","volume":"91","author":"Boyle","year":"1994","journal-title":"Proc Natl Acad Sci U S A."},{"key":"2021121823053427800_CIT0048","doi-asserted-by":"crossref","first-page":"3571","DOI":"10.1210\/jc.2017-00477","article-title":"Hypothalamic glucose transport in humans during experimentally induced hypoglycemia-associated autonomic failure","volume":"102","author":"Seaquist","year":"2017","journal-title":"J Clin Endocrinol Metab."},{"key":"2021121823053427800_CIT0049","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1093\/jpepsy\/jsp063","article-title":"Anxiety symptoms in adolescents with type 1 diabetes: association with blood glucose monitoring and glycemic control","volume":"35","author":"Herzer","year":"2010","journal-title":"J Pediatr Psychol."},{"key":"2021121823053427800_CIT0050","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1111\/j.1464-5491.2011.03444.x","article-title":"Patient experience of hypoglycaemia unawareness in Type 1 diabetes: are patients appropriately concerned?","volume":"29","author":"Rogers","year":"2012","journal-title":"Diabet Med."},{"key":"2021121823053427800_CIT0051","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1007\/s00592-014-0694-8","article-title":"Fear of hypoglycemia: relationship to hypoglycemic risk and psychological factors","volume":"52","author":"Anderbro","year":"2015","journal-title":"Acta Diabetologica."},{"key":"2021121823053427800_CIT0052","doi-asserted-by":"crossref","first-page":"1359","DOI":"10.1177\/0956797611417632","article-title":"False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant","volume":"22","author":"Simmons","year":"2011","journal-title":"Psychol Sci."},{"key":"2021121823053427800_CIT0053","doi-asserted-by":"crossref","first-page":"2094601","DOI":"10.1155\/2016\/2094601","article-title":"How many is enough? Effect of sample size in inter-subject correlation analysis of fMRI","volume":"2016","author":"Pajula","year":"2016","journal-title":"Comput Intell Neurosci."}],"container-title":["The Journal of Clinical Endocrinology &amp; Metabolism"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/jcem\/advance-article-pdf\/doi\/10.1210\/clinem\/dgz004\/29997310\/dgz004.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jcem\/article-pdf\/105\/1\/1\/41818526\/dgz004.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jcem\/article-pdf\/105\/1\/1\/41818526\/dgz004.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,18]],"date-time":"2021-12-18T23:06:46Z","timestamp":1639868806000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jcem\/article\/105\/1\/1\/5568225"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,12]]},"references-count":53,"aliases":["10.1210\/jcem\/dgz004"],"journal-issue":{"issue":"1","published-online":{"date-parts":[[2019,9,12]]},"published-print":{"date-parts":[[2020,1,1]]}},"URL":"https:\/\/doi.org\/10.1210\/clinem\/dgz004","relation":{},"ISSN":["0021-972X","1945-7197"],"issn-type":[{"value":"0021-972X","type":"print"},{"value":"1945-7197","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2020,1]]},"published":{"date-parts":[[2019,9,12]]}}}