{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T22:43:17Z","timestamp":1793572997026,"version":"4.5.0"},"reference-count":88,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T00:00:00Z","timestamp":1620000000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Endocrinol."],"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>Type 2 diabetes mellitus (T2DM) is often accompanied by cognitive decline and depressive symptoms. Numerous diffusion tensor imaging (DTI) studies revealed microstructural white matter (WM) abnormalities in T2DM but the findings were inconsistent. The present study aimed to conduct a coordinate\u2010based meta\u2010analysis (CBMA) to identify statistical consensus of DTI studies in T2DM.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We performed a systematic search on relevant studies that reported fractional anisotropy (FA) differences between T2DM patients and healthy controls (HC). The anisotropic effect size seed\u2010based d mapping (AES-SDM) approach was used to explore WM alterations in T2DM. A meta\u2010regression was then used to analyze potential influences of sample characteristics on regional FA changes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>A total of eight studies that comprised 245 patients and 200 HC, along with 52 coordinates were extracted. The meta\u2010analysis identified FA reductions in three clusters including the left inferior network, the corpus callosum (CC), and the left olfactory cortex. Besides, FA in the CC was negatively correlated with body mass index (BMI) in the patients group.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>T2DM could lead to subtle WM microstructural alterations, which might be associated with cognitive deficits or emotional distress symptoms. This provides a better understanding of the pathophysiology of neurodegeneration and complications in T2DM.<\/jats:p><\/jats:sec><jats:sec><jats:title>Systematic Review Registration<\/jats:title><jats:p>Registered at PROSPERO (<jats:uri>http:\/\/www.crd.york.ac.uk\/PROSPERO<\/jats:uri>), registration number: CRD42020218737.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fendo.2021.658198","type":"journal-article","created":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T13:55:46Z","timestamp":1620050146000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":22,"title":["Altered White Matter Microstructures in Type 2 Diabetes Mellitus: A Coordinate\u2010Based Meta\u2010Analysis of Diffusion Tensor Imaging Studies"],"prefix":"10.3389","volume":"12","author":[{"given":"Cong","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Man","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangliang","family":"Ping","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuting","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuo","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ge","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuqi","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiufeng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2021,5,3]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","DOI":"10.1038\/s41574-020-0325-0","article-title":"Insights Into Pancreatic Islet Cell Dysfunction From Type 2 Diabetes Mellitus Genetics","volume":"16","author":"Krentz","year":"2020","journal-title":"Nat Rev Endocrinol"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.1016\/j.euroneuro.2014.01.023","article-title":"Brain Imaging in Type 2 Diabetes","volume":"24","author":"Brundel","year":"2014","journal-title":"Eur Neuropsychopharmacol"},{"key":"B3","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.m997","article-title":"Prevalence of Diabetes Recorded in Mainland China Using 2018 Diagnostic Criteria From the American Diabetes Association: National Cross Sectional Study","volume":"369","author":"Li","year":"2020","journal-title":"Bmj"},{"key":"B4","doi-asserted-by":"publisher","DOI":"10.1016\/s1474-4422(03)00503-9","article-title":"The Brain in Diabetes: Molecular Changes in Neurons and Their Implications for End-Organ Damage","volume":"2","author":"Klein","year":"2003","journal-title":"Lancet Neurol"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1016\/s2213-8587(13)70088-3","article-title":"Dementia and Cognitive Decline in Type 2 Diabetes and Prediabetic Stages: Towards Targeted Interventions","volume":"2","author":"Biessels","year":"2014","journal-title":"Lancet Diabetes Endocrinol"},{"key":"B6","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1177\/0891988713516543","article-title":"Type 2 Diabetes and Cognitive Impairment: Contributions From Neuroimaging","volume":"27","author":"Ryan","year":"2014","journal-title":"J Geriatr Psychiatry Neurol"},{"key":"B7","doi-asserted-by":"publisher","first-page":"699","DOI":"10.1016\/s1474-4422(20)30139-3","article-title":"Understanding Multifactorial Brain Changes in Type 2 Diabetes: A Biomarker Perspective","volume":"19","author":"Biessels","year":"2020","journal-title":"Lancet Neurol"},{"key":"B8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0004144","article-title":"Diabetes and the Risk of Multi-System Aging Phenotypes: A Systematic Review and Meta-Analysis","volume":"4","author":"Lu","year":"2009","journal-title":"PloS One"},{"key":"B9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0160809","article-title":"Association Between Depressive Symptoms and Cognitive Function in Persons With Diabetes Mellitus: A Systematic Review","volume":"11","author":"Danna","year":"2016","journal-title":"PloS One"},{"key":"B10","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000006955","article-title":"Alzheimer\u2019s Disease Neuroimaging I. Type 2 Diabetes Mellitus, Brain Atrophy, and Cognitive Decline","volume":"92","author":"Moran","year":"2019","journal-title":"Neurology"},{"key":"B11","doi-asserted-by":"publisher","DOI":"10.1007\/s00125-018-4778-9","article-title":"Type 2 Diabetes Mellitus, Brain Atrophy and Cognitive Decline in Older People: A Longitudinal Study","volume":"62","author":"Callisaya","year":"2019","journal-title":"Diabetologia"},{"key":"B12","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2019.107872","article-title":"Effects of Hypertension on Cerebral Cortical Thickness Alterations in Patients With Type 2 Diabetes","volume":"157","author":"Shi","year":"2019","journal-title":"Diabetes Res Clin Pract"},{"key":"B13","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.yfrne.2018.10.001","article-title":"What Magnetic Resonance Imaging Reveals - A Systematic Review of the Relationship Between Type II Diabetes and Associated Brain Distortions of Structure and Cognitive Functioning","volume":"52","author":"Rosenberg","year":"2019","journal-title":"Front Neuroendocrinol"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2010.08.048","article-title":"Utrecht Diabetic Encephalopathy Study G. Cerebral Cortical Thickness in Patients With Type 2 Diabetes","volume":"299","author":"Brundel","year":"2010","journal-title":"J Neurol Sci"},{"key":"B15","doi-asserted-by":"publisher","DOI":"10.1007\/s00125-010-1857-y","article-title":"Preliminary Evidence for Brain Complications in Obese Adolescents With Type 2 Diabetes Mellitus","volume":"53","author":"Yau","year":"2010","journal-title":"Diabetologia"},{"key":"B16","doi-asserted-by":"publisher","DOI":"10.1038\/nrendo.2009.214","article-title":"Should We Screen for Emotional Distress in Type 2 Diabetes Mellitus","volume":"5","author":"Pouwer","year":"2009","journal-title":"Nat Rev Endocrinol"},{"key":"B17","doi-asserted-by":"publisher","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":"2018","journal-title":"J Affect Disord"},{"key":"B18","doi-asserted-by":"crossref","DOI":"10.2147\/DMSO.S106797","article-title":"Depression in People With Type 2 Diabetes: Current Perspectives","volume-title":"Diabetes Metab Syndr Obes","author":"Darwish","year":"2018"},{"key":"B19","doi-asserted-by":"publisher","DOI":"10.1016\/j.jad.2017.09.044","article-title":"Major Depressive Disorder in Patients With Type 2 Diabetes Mellitus: Prevalence and Clinical Characteristics","volume":"227","author":"Huang","year":"2018","journal-title":"J Affect Disord"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.1016\/j.psychres.2018.09.037","article-title":"Prevalence of Depression Among Type 2 Diabetes Mellitus Patients in India: A Meta-Analysis","volume":"270","author":"Hussain","year":"2018","journal-title":"Psychiatry Res"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2017-020768","article-title":"Prevalence of Depression in Patients With Type 2 Diabetes Mellitus in Spain (the DIADEMA Study): Results From the MADIABETES Cohort","volume":"8","author":"Salinero-Fort","year":"2018","journal-title":"BMJ Open"},{"key":"B22","doi-asserted-by":"publisher","DOI":"10.1016\/s2213-8587(19)30405-x","article-title":"Cerebral Microvascular Complications of Type 2 Diabetes: Stroke, Cognitive Dysfunction, and Depression","volume":"8","author":"van Sloten","year":"2020","journal-title":"Lancet Diabetes Endocrinol"},{"key":"B23","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.1076","article-title":"Diffusion Tensor Imaging: Concepts and Applications","volume":"13","author":"Le Bihan","year":"2001","journal-title":"J Magnet Resonance Imaging: JMRI"},{"key":"B24","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.782","article-title":"The Basis of Anisotropic Water Diffusion in the Nervous System - a Technical Review","volume":"15","author":"Beaulieu","year":"2002","journal-title":"NMR Biomed"},{"key":"B25","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1002\/jmri.21572","article-title":"Imaging Age-Related Cognitive Decline: A Comparison of Diffusion Tensor and Magnetization Transfer MRI","volume":"29","author":"Schiavone","year":"2009","journal-title":"J Magnet Resonance Imaging: JMRI"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0b013e3182661f4d","article-title":"Microstructural White Matter Changes in Cognitively Normal Individuals At Risk of Amnestic MCI","volume":"79","author":"Zhuang","year":"2012","journal-title":"Neurology"},{"key":"B27","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.jpsychires.2014.03.006","article-title":"Diffusion Tensor Imaging (DTI) Studies in Patients With Obsessive-Compulsive Disorder (OCD): A Review","volume":"54","author":"Koch","year":"2014","journal-title":"J Psychiatr Res"},{"key":"B28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2006.02.024","article-title":"Tract-Based Spatial Statistics: Voxelwise Analysis of Multi-Subject Diffusion Data","volume":"31","author":"Smith","year":"2006","journal-title":"NeuroImage"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.1503\/jpn.150341","article-title":"Microstructural Brain Abnormalities in Medication-Free Patients With Major Depressive Disorder: A Systematic Review and Meta-Analysis of Diffusion Tensor Imaging","volume":"42","author":"Jiang","year":"2017","journal-title":"J Psychiatry Neurosci: JPN"},{"key":"B30","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2009.04.016","article-title":"Emotional and Neutral Declarative Memory Impairments and Associated White Matter Microstructural Abnormalities in Adults With Type 2 Diabetes","volume":"174","author":"Yau","year":"2009","journal-title":"Psychiatry Res"},{"key":"B31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.09.041","article-title":"Microstructural White Matter Abnormalities in Type 2 Diabetes Mellitus: A Diffusion Tensor Imaging Study","volume":"59","author":"Hsu","year":"2012","journal-title":"NeuroImage"},{"key":"B32","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26687","article-title":"Application of Neurite Orientation Dispersion and Density Imaging to Characterize Brain Microstructural Abnormalities in Type-2 Diabetics With Mild Cognitive Impairment","volume":"50","author":"Xiong","year":"2019","journal-title":"J Magnet Resonance Imaging: JMRI"},{"key":"B33","doi-asserted-by":"publisher","DOI":"10.1017\/cjn.2015.398","article-title":"Nepsilon-(Carboxymethyl)-Lysine, White Matter, and Cognitive Function in Diabetes Patients","volume":"43","author":"Zhang","year":"2016","journal-title":"Can J Neurol Sci Le J Canadien Des Sci Neurol"},{"key":"B34","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0157268","article-title":"Hyperglycemia Reduces Efficiency of Brain Networks in Subjects With Type 2 Diabetes","volume":"11","author":"Kim","year":"2016","journal-title":"PloS One"},{"key":"B35","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/j.nicl.2017.07.004","article-title":"Microstructural Abnormalities in White and Gray Matter in Obese Adolescents With and Without Type 2 Diabetes","volume":"16","author":"Nouwen","year":"2017","journal-title":"NeuroImage Clin"},{"key":"B36","doi-asserted-by":"publisher","DOI":"10.1007\/s00125-017-4266-7","article-title":"Brain Changes in Overweight\/Obese and Normal-Weight Adults With Type 2 Diabetes Mellitus","volume":"60","author":"Yoon","year":"2017","journal-title":"Diabetologia"},{"key":"B37","doi-asserted-by":"publisher","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":"B38","doi-asserted-by":"publisher","DOI":"10.2337\/db14-0342","article-title":"White Matter Integrity Disruptions Associated With Cognitive Impairments in Type 2 Diabetic Patients","volume":"63","author":"Zhang","year":"2014","journal-title":"Diabetes"},{"key":"B39","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-neuro-062012-170320","article-title":"Meta-Analysis in Human Neuroimaging: Computational Modeling of Large-Scale Databases","volume":"37","author":"Fox","year":"2014","journal-title":"Annu Rev Neurosci"},{"key":"B40","doi-asserted-by":"publisher","DOI":"10.1016\/j.eurpsy.2011.04.001","article-title":"A New Meta-Analytic Method for Neuroimaging Studies That Combines Reported Peak Coordinates and Statistical Parametric Maps","volume":"27","author":"Radua","year":"2012","journal-title":"Eur Psychiatry: J Assoc Eur Psychiatrists"},{"key":"B41","doi-asserted-by":"publisher","DOI":"10.1006\/nimg.2002.1131","article-title":"Meta-Analysis of the Functional Neuroanatomy of Single-Word Reading: Method and Validation","volume":"16","author":"Turkeltaub","year":"2002","journal-title":"NeuroImage"},{"key":"B42","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1093\/scan\/nsm015","article-title":"Meta-Analysis of Functional Neuroimaging Data: Current and Future Directions","volume":"2","author":"Wager","year":"2007","journal-title":"Soc Cogn Affect Neuroence"},{"key":"B43","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1192\/bjp.bp.108.055046","article-title":"Voxel-Wise Meta-Analysis of Grey Matter Changes in Obsessive-Compulsive Disorder","volume":"195","author":"Radua","year":"2009","journal-title":"Br J Psychiatry: J Ment Sci"},{"key":"B44","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2014.00013","article-title":"Anisotropic Kernels for Coordinate-Based Meta-Analyses of Neuroimaging Studies","volume":"5","author":"Radua","year":"2014","journal-title":"Front Psychiatry"},{"key":"B45","doi-asserted-by":"publisher","DOI":"10.1007\/s11684-019-0725-5","article-title":"Altered White Matter Microarchitecture in Parkinson\u2019s Disease: A Voxel-Based Meta-Analysis of Diffusion Tensor Imaging Studies","volume":"15","author":"Suo","year":"2020","journal-title":"Front Med"},{"key":"B46","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-018-9922-0","article-title":"Brain Degeneration in Parkinson\u2019s Disease Patients With Cognitive Decline: A Coordinate-Based Meta-Analysis","volume":"13","author":"Mihaescu","year":"2019","journal-title":"Brain Imaging Behav"},{"key":"B47","doi-asserted-by":"publisher","first-page":"192","DOI":"10.1016\/j.jad.2013.05.034","article-title":"Systematic Review and Voxel-Based Meta-Analysis of Diffusion Tensor Imaging Studies in Bipolar Disorder","volume":"150","author":"Nortje","year":"2013","journal-title":"J Affect Disord"},{"key":"B48","doi-asserted-by":"crossref","DOI":"10.1002\/da.23008","article-title":"White Matter Disruption in Obsessive-Compulsive Disorder Revealed by Meta-Analysis of Tract-Based Spatial Statistics","volume-title":"Depress Anxiety","author":"Hu","year":"2020"},{"key":"B49","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajp.2020.102467","article-title":"Microstructural White Matter Abnormalities in Obsessive-Compulsive Disorder: A Coordinate-Based Meta-Analysis of Diffusion Tensor Imaging Studies","volume":"55","author":"Zhang","year":"2020","journal-title":"Asian J Psychiatry"},{"key":"B50","doi-asserted-by":"publisher","DOI":"10.1017\/S0033291710002187","article-title":"Voxel-Based Meta-Analysis of Regional White-Matter Volume Differences in Autism Spectrum Disorder Versus Healthy Controls","volume":"41","author":"Radua","year":"2011","journal-title":"psychol Med"},{"key":"B51","doi-asserted-by":"publisher","DOI":"10.3389\/fendo.2020.00045","article-title":"Altered Gray Matter Volume in Patients With Type 1 Diabetes Mellitus","volume":"11","author":"Liu","year":"2020","journal-title":"Front Endocrinol"},{"key":"B52","doi-asserted-by":"publisher","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":"Front Aging Neurosci"},{"key":"B53","doi-asserted-by":"publisher","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":"J Diabetes its Complications"},{"key":"B54","doi-asserted-by":"publisher","DOI":"10.1016\/j.yfrne.2019.100782","article-title":"Brain Microstructural Abnormalities in Type 2 Diabetes Mellitus: A Systematic Review of Diffusion Tensor Imaging Studies","volume":"55","author":"Sanjari Moghaddam","year":"2019","journal-title":"Front Neuroendocrinol"},{"key":"B55","doi-asserted-by":"publisher","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":"B56","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.b2700","article-title":"The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Healthcare Interventions: Explanation and Elaboration","volume":"339","author":"Liberati","year":"2009","journal-title":"Bmj"},{"key":"B57","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pmed.1000097","article-title":"Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement","volume":"62","author":"Moher","year":"2009","journal-title":"PloS Med"},{"key":"B58","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2017.11.012","article-title":"Ten Simple Rules for Neuroimaging Meta-Analysis","volume":"84","author":"Muller","year":"2018","journal-title":"Neurosci Biobehav Rev"},{"key":"B59","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.10.077","article-title":"Voxel-Based Meta-Analysis Via Permutation of Subject Images (PSI): Theory and Implementation for SDM","volume":"186","author":"Albajes-Eizagirre","year":"2019","journal-title":"NeuroImage"},{"key":"B60","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1503\/jpn.170221","article-title":"Psychoradiologic Abnormalities of White Matter in Patients With Bipolar Disorder: Diffusion Tensor Imaging Studies Using Tract-Based Spatial Statistics","volume":"44","author":"Yang","year":"2019","journal-title":"J Psychiatry Neurosci"},{"key":"B61","doi-asserted-by":"publisher","DOI":"10.1007\/s11011-016-9792-3","article-title":"Alterations in White Matter Volume and Integrity in Obesity and Type 2 Diabetes","volume":"31","author":"van Bloemendaal","year":"2016","journal-title":"Metab Brain Dis"},{"key":"B62","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00063","article-title":"Local Diffusion Homogeneity Provides Supplementary Information in T2DM-Related Wm Microstructural Abnormality Detection","volume":"13","author":"Liang","year":"2019","journal-title":"Front Neurosci"},{"key":"B63","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.4687-11.2012","article-title":"The Diffusion Tensor Imaging Toolbox","volume":"32","author":"Alger","year":"2012","journal-title":"J Neurosci"},{"key":"B64","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1038\/nrn2294","article-title":"Glucose Neurotoxicity","volume":"9","author":"Tomlinson","year":"2008","journal-title":"Nat Rev Neurosci"},{"key":"B65","doi-asserted-by":"publisher","DOI":"10.1038\/ijo.2014.121","article-title":"Orbitofrontal Cortex Volume and Brain Reward Response in Obesity","volume":"39","author":"Shott","year":"2015","journal-title":"Int J Obes"},{"key":"B66","doi-asserted-by":"publisher","DOI":"10.1038\/nrneurol.2011.3","article-title":"The Neurobiology of Cognitive Disorders in Temporal Lobe Epilepsy","volume":"7","author":"Bell","year":"2011","journal-title":"Nat Rev Neurol"},{"key":"B67","doi-asserted-by":"publisher","DOI":"10.1038\/nrn.2016.56","article-title":"Over the River, Through the Woods: Cognitive Maps in the Hippocampus and Orbitofrontal Cortex","volume":"17","author":"Wikenheiser","year":"2016","journal-title":"Nat Rev Neurosci"},{"key":"B68","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1503\/jpn.110180","article-title":"Is Depression a Disconnection Syndrome? Meta-analysis of Diffusion Tensor Imaging Studies in Patients With MDD","volume":"38","author":"Liao","year":"2013","journal-title":"J Psychiatry Neurosci JPN"},{"key":"B69","doi-asserted-by":"publisher","DOI":"10.1016\/j.pnpbp.2017.03.011","article-title":"Intrinsic Disruption of White Matter Microarchitecture in First-Episode, Drug-Naive Major Depressive Disorder: A Voxel-Based Meta-Analysis of Diffusion Tensor Imaging","volume":"76","author":"Chen","year":"2017","journal-title":"Prog Neuropsychopharmacol Biol Psychiatry"},{"key":"B70","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2462061469","article-title":"Corpus Callosum in Patients With Obsessive-Compulsive Disorder: Diffusion-Tensor Imaging Study","volume":"246","author":"Saito","year":"2008","journal-title":"Radiology"},{"key":"B71","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-019-09429-3","article-title":"Structural Integrity in Subjective Cognitive Decline, Mild Cognitive Impairment and Alzheimer\u2019s Disease Based on Multicenter Diffusion Tensor Imaging","volume":"266","author":"Brueggen","year":"2019","journal-title":"J Neurol"},{"key":"B72","doi-asserted-by":"publisher","DOI":"10.1080\/00207454.2019.1667798","article-title":"Diffusion Tensor Imaging of White Matter Degeneration in Early Stage of Alzheimer\u2019s Disease: A Review","volume":"130","author":"Lo Buono","year":"2020","journal-title":"Int J Neurosci"},{"key":"B73","doi-asserted-by":"publisher","DOI":"10.1503\/jpn.110132","article-title":"Impaired Interhemispheric Connectivity in Medication-Naive Patients With Major Depressive Disorder","volume":"38","author":"Xu","year":"2013","journal-title":"J Psychiatry Neurosci: JPN"},{"key":"B74","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.biopsych.2015.03.004","article-title":"Voxel-Based Meta-Analytical Evidence of Structural Disconnectivity in Major Depression and Bipolar Disorder","volume":"79","author":"Wise","year":"2016","journal-title":"Biol Psychiatry"},{"key":"B75","doi-asserted-by":"publisher","DOI":"10.1016\/j.psyneuen.2018.03.007","article-title":"Elevated Body-Mass Index is Associated With Reduced White Matter Integrity in Two Large Independent Cohorts","volume":"91","author":"Repple","year":"2018","journal-title":"Psychoneuroendocrinology"},{"key":"B76","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.21491","article-title":"Body Mass Index Correlates Negatively With White Matter Integrity in the Fornix and Corpus Callosum: A Diffusion Tensor Imaging Study","volume":"34","author":"Xu","year":"2013","journal-title":"Hum Brain Mapp"},{"key":"B77","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2016.11.018","article-title":"Abnormalities of Brain Neural Circuits Related to Obesity: A Diffusion Tensor Imaging Study","volume":"37","author":"Papageorgiou","year":"2017","journal-title":"Magnet Resonance Imaging"},{"key":"B78","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.metabol.2017.08.009","article-title":"White Matter Microstructure and Cognitive Decline in Metabolic Syndrome: A Review of Diffusion Tensor Imaging","volume":"78","author":"Alfaro","year":"2018","journal-title":"Metabol: Clin Exp"},{"key":"B79","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1038\/s41582-018-0097-5","article-title":"Olfactory and Other Sensory Impairments in Alzheimer Disease","volume":"15","author":"Murphy","year":"2019","journal-title":"Nat Rev Neurol"},{"key":"B80","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1159\/000048618","article-title":"Impaired Olfaction Predicts Cognitive Decline in Nondemented Older Adults","volume":"21","author":"Swan","year":"2002","journal-title":"Neuroepidemiology"},{"key":"B81","doi-asserted-by":"publisher","DOI":"10.1002\/ana.24792","article-title":"Episodic Memory of Odors Stratifies Alzheimer Biomarkers in Normal Elderly","volume":"80","author":"Dhilla Albers","year":"2016","journal-title":"Ann Neurol"},{"key":"B82","doi-asserted-by":"publisher","DOI":"10.1002\/ana.24960","article-title":"Neuroimaging Biomarkers and Impaired Olfaction in Cognitively Normal Individuals","volume":"81","author":"Vassilaki","year":"2017","journal-title":"Ann Neurol"},{"key":"B83","doi-asserted-by":"publisher","DOI":"10.1017\/S1355617703930116","article-title":"Left Hippocampal Volume Loss in Alzheimer\u2019s Disease is Reflected in Performance on Odor Identification: A Structural MRI Study","volume":"9","author":"Murphy","year":"2003","journal-title":"J Int Neuropsychol Soc"},{"key":"B84","doi-asserted-by":"publisher","first-page":"2153","DOI":"10.1212\/WNL.0000000000001614","article-title":"Odor Identification and Alzheimer Disease Biomarkers in Clinically Normal Elderly","volume":"84","author":"Growdon","year":"2015","journal-title":"Neurology"},{"key":"B85","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000004159","article-title":"Odor Identification as a Biomarker of Preclinical AD in Older Adults At Risk","volume":"89","author":"Lafaille-Magnan","year":"2017","journal-title":"Neurology"},{"key":"B86","doi-asserted-by":"publisher","DOI":"10.1007\/s00401-014-1261-7","article-title":"Olfactory Bulb Involvement in Neurodegenerative Diseases","volume":"127","author":"Attems","year":"2014","journal-title":"Acta Neuropathol"},{"key":"B87","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbr.2020.112594","article-title":"The Relationship of Olfactory Function and Clinical Traits in Major Depressive Disorder","volume":"386","author":"Wang","year":"2020","journal-title":"Behav Brain Res"},{"key":"B88","doi-asserted-by":"publisher","DOI":"10.1016\/j.pscychresns.2016.07.008","article-title":"Olfactory Sulcus Morphology in Patients With Current and Past Major Depression","volume":"255","author":"Takahashi","year":"2016","journal-title":"Psychiatry Res Neuroimaging"}],"container-title":["Frontiers in Endocrinology"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fendo.2021.658198\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T13:55:50Z","timestamp":1620050150000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fendo.2021.658198\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,3]]},"references-count":88,"alternative-id":["10.3389\/fendo.2021.658198"],"URL":"https:\/\/doi.org\/10.3389\/fendo.2021.658198","relation":{},"ISSN":["1664-2392"],"issn-type":[{"value":"1664-2392","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,3]]},"article-number":"658198"}}