{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T01:23:26Z","timestamp":1792718606859,"version":"4.5.0"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62176181"],"award-info":[{"award-number":["62176181"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M680905"],"award-info":[{"award-number":["2020M680905"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ibroneuroscience.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neuroscience"],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1016\/j.neuroscience.2022.08.007","type":"journal-article","created":{"date-parts":[[2022,8,11]],"date-time":"2022-08-11T22:38:50Z","timestamp":1660257530000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":18,"special_numbering":"C","title":["Functional brain abnormalities in major depressive disorder using a multiscale community detection approach"],"prefix":"10.1016","volume":"501","author":[{"given":"Na","family":"Li","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Di","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianguo","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxiao","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junhai","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neuroscience.2022.08.007_b0005","unstructured":"Airoldi EM, Blei D, Fienberg S, Xing E (2008) Mixed membership stochastic blockmodels. Advances in neural information processing systems 21."},{"key":"10.1016\/j.neuroscience.2022.08.007_b0010","doi-asserted-by":"crossref","unstructured":"Alsaqr AM (2021) Remarks on the use of Pearson's and Spearman's correlation coefficients in assessing relationships in ophthalmic data.","DOI":"10.4102\/aveh.v80i1.612"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0015","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s41109-019-0178-4","article-title":"Temporally intermittent communities in brain fMRI correlation networks","volume":"4","author":"Aslak","year":"2019","journal-title":"Appl Netw Sci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0020","series-title":"Non-standard parameter adaptation for exploratory data analysis","author":"Barbakh","year":"2009"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0025","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1056\/NEJMra073096","article-title":"Major depressive disorder","volume":"358","author":"Belmaker","year":"2008","journal-title":"N Engl J Med"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0030","article-title":"Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping","volume":"9","author":"Bin","year":"2017","journal-title":"Front Aging Neurosci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0035","doi-asserted-by":"crossref","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","article-title":"Fast unfolding of communities in large networks","volume":"2008","author":"Blondel","year":"2008","journal-title":"J Stat Mech: Theory Exp"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0040","doi-asserted-by":"crossref","DOI":"10.3389\/fpsyg.2019.00245","article-title":"State-Related Alterations of Spontaneous Neural Activity in Current and Remitted Depression Revealed by Resting-State fMRI","author":"Chang","year":"2019","journal-title":"Front Psychol"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0045","doi-asserted-by":"crossref","first-page":"10468","DOI":"10.1038\/s41598-019-46789-2","article-title":"Resting-state prefrontal EEG biomarkers in correlation with MMSE scores in elderly individuals","volume":"9","author":"Choi","year":"2019","journal-title":"Sci Rep"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0050","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/S0730-725X(02)00503-9","article-title":"Hierarchical clustering to measure connectivity in fMRI resting-state data","volume":"20","author":"Cordes","year":"2002","journal-title":"Magn Reson Imaging"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0055","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1007\/s11065-014-9249-6","article-title":"Functional Brain Connectivity Using fMRI in Aging and Alzheimer's Disease","volume":"24","author":"Dennis","year":"2014","journal-title":"Neuropsychol Rev"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0060","doi-asserted-by":"crossref","first-page":"3508","DOI":"10.1093\/cercor\/bhw157","article-title":"The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture","volume":"26","author":"Fan","year":"2016","journal-title":"Cereb Cortex"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0065","doi-asserted-by":"crossref","DOI":"10.1017\/S0924270800031173","article-title":"A meta-analytic study of changes in brain activation in depression","author":"Fitzgerald","year":"2006","journal-title":"Acta Neuropsychiat"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0070","first-page":"286","article-title":"A meta-analytic study of changes in brain activation in depression","volume":"18","author":"Fitzgerald","year":"2006","journal-title":"Acta Neuropsychiat"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0075","article-title":"DSM-IV-TR: Diagnostic and Statistical Manual of Mental Disorders","author":"Franklin","year":"2000","journal-title":"Text Rev"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0080","doi-asserted-by":"crossref","DOI":"10.1155\/2016\/6184823","article-title":"Explore interregional EEG correlations changed by sport training using feature selection","author":"Gao","year":"2016","journal-title":"Comput Intell Neurosci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0085","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2018.00038","article-title":"Multivariate Classification of Major Depressive Disorder Using the Effective Connectivity and Functional Connectivity","volume":"12","author":"Geng","year":"2018","journal-title":"Front Neurosci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0090","doi-asserted-by":"crossref","DOI":"10.1186\/s12920-021-00908-z","article-title":"Identification of major depressive disorder disease-related genes and functional pathways based on system dynamic changes of network connectivity","volume":"14","author":"Geng","year":"2021","journal-title":"BMC Med Genom"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0095","doi-asserted-by":"crossref","first-page":"7821","DOI":"10.1073\/pnas.122653799","article-title":"Community structure in social and biological networks","volume":"99","author":"Girvan","year":"2002","journal-title":"Proc Natl Acad Sci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0100","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1146\/annurev.clinpsy.121208.131305","article-title":"Cognition and Depression: Current Status and Future Directions","volume":"6","author":"Gotlib","year":"2010","journal-title":"Ann Rev Clin Psychol"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0105","doi-asserted-by":"crossref","DOI":"10.1016\/j.biopsych.2006.09.020","article-title":"Resting-State Functional Connectivity in Major Depression: Abnormally Increased Contributions from Subgenual Cingulate Cortex and Thalamus","author":"Greicius","year":"2007","journal-title":"Biol Psychiat NY"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0110","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1093\/cercor\/bhn059","article-title":"Resting-state functional connectivity reflects structural connectivity in the default mode network","volume":"19","author":"Greicius","year":"2009","journal-title":"Cereb Cortex"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0115","article-title":"Dynamic functional connectivity of neurocognitive networks in children","volume":"38","author":"Hilary","year":"2016","journal-title":"Human Brain Mapp"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0120","series-title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering PP:1\u20131","article-title":"Multiscale Community Detection in Functional Brain Networks Constructed Using Dynamic Time Warping","author":"Jin","year":"2019"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0125","series-title":"A survey of community detection approaches: From statistical modeling to deep learning","author":"Jin","year":"2021"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0130","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.83.016107","article-title":"Stochastic blockmodels and community structure in networks","volume":"83","author":"Karrer","year":"2011","journal-title":"Phys Rev E"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0135","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12888-022-03780-y","article-title":"Transdiagnostic alterations in neural emotion regulation circuits\u2013neural substrates of cognitive reappraisal in patients with depression and post-traumatic stress disorder","volume":"22","author":"Keller","year":"2022","journal-title":"BMC Psychiat"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0140","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/j.biopsycho.2010.12.004","article-title":"Cognitive inefficiency in depressive undergraduates: Stroop processing and ERPs","volume":"86","author":"Krompinger","year":"2011","journal-title":"Biol Psychol"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0145","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.tins.2014.11.006","article-title":"The dynamic pain connectome","volume":"38","author":"Kucyi","year":"2015","journal-title":"Trends in Neuroences"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0150","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.22418","article-title":"Neuronal oscillations and functional interactions between resting state networks: Effects of alcohol intoxication Neuronal oscillations and functional interactions between resting state networks","author":"Lei","year":"2014","journal-title":"Hum Brain Mapp"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0155","first-page":"28:102514","article-title":"Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns","author":"Liang","year":"2020","journal-title":"NeuroImage: Clin"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0160","doi-asserted-by":"crossref","first-page":"272","DOI":"10.3389\/fneur.2020.00272","article-title":"Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder","volume":"11","author":"Liu","year":"2020","journal-title":"Front Neurol"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0165","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1016\/j.pnpbp.2012.07.004","article-title":"Abnormal regional spontaneous neural activity in first-episode, treatment-naive patients with late-life depression: a resting-state fMRI study","volume":"39","author":"Liu","year":"2012","journal-title":"Prog Neuro-Psychopharmacol Biol Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0170","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/j.neuroimage.2008.09.062","article-title":"Age-related changes in modular organization of human brain functional networks","volume":"44","author":"Meunier","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0175","article-title":"Finding and evaluating community structure in networks","volume":"69","author":"Newman","year":"2004","journal-title":"Phys Rev E"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0180","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/0028-3932(71)90067-4","article-title":"THE ASSESSMENT AND ANALYSIS OF HANDEDNESS: THE EDINBURGH INVENTORY","volume":"9","author":"Oldfield","year":"1971","journal-title":"Neuropsychologia"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0185","article-title":"The ICD-10 Classification of Mental and Behavioural Disorders: diagnostic criteria for research","author":"Organization","year":"1993","journal-title":"Clin Descript Diagn Guidel Geneva"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0190","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1016\/j.aej.2015.11.003","article-title":"Divisive Analysis (DIANA) of hierarchical clustering and GPS data for level of service criteria of urban streets","volume":"55","author":"Patnaik","year":"2016","journal-title":"Alexandria Eng J"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0195","first-page":"754","article-title":"Resting state default-mode network connectivity in early depression using a seed region-of-interest analysis: decreased connectivity with caudate nucleus","volume":"63","author":"Phd","year":"2010","journal-title":"Psychiatry Clin Neurosci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0200","doi-asserted-by":"crossref","DOI":"10.1093\/scan\/nsaa014","article-title":"Functional connectivity of the right inferior frontal gyrus and orbitofrontal cortex in depression","author":"Rolls","year":"2020","journal-title":"Soc Cogn Affect Neurosci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0205","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.77.016104","article-title":"Identifying network communities with a high resolution","volume":"77","author":"Ruan","year":"2008","journal-title":"Phys Rev E: Stat Nonlinear Soft Matter Phys"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0210","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.pscychresns.2016.11.001","article-title":"Altered dynamics of brain connectivity in major depressive disorder at-rest and during task performance","volume":"259","author":"Sambataro","year":"2017","journal-title":"Psychiatry Research: Neuroimaging"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0215","doi-asserted-by":"crossref","first-page":"7795","DOI":"10.1073\/pnas.1802730115","article-title":"Enhanced brain activity associated with memory access in highly superior autobiographical memory","volume":"115","author":"Santangelo","year":"2018","journal-title":"Proc Natl Acad Sci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0220","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1192\/bjp.180.5.434","article-title":"Chronic, treatment-resistant depression and right fronto-striatal atrophy","volume":"180","author":"Shah","year":"2002","journal-title":"Br J Psychiatry"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0225","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevE.84.056111","article-title":"Exploring the structural regularities in networks","volume":"84","author":"Shen","year":"2011","journal-title":"Phys Rev E"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0230","doi-asserted-by":"crossref","unstructured":"Soleimani MAS (2016) [Progress in Brain Research] Neuroscience for Addiction Medicine: From Prevention to Rehabilitation - Constructs and Drugs Volume 223 || Drug-induced neurotoxicity in addiction medicine 19-41.","DOI":"10.1016\/bs.pbr.2015.07.004"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0235","first-page":"1","article-title":"A study on BOLD fMRI of the brain basic activities of MDD and the first-degree relatives","author":"Song","year":"2020","journal-title":"Int J Psychiat Clin Pract"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0240","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0245","doi-asserted-by":"crossref","DOI":"10.3389\/fnsys.2010.00041","article-title":"Whole Brain Resting-State Analysis Reveals Decreased Functional Connectivity in Major Depression","volume":"4","author":"Veer","year":"2010","journal-title":"Front Syst Neurosci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0250","doi-asserted-by":"crossref","first-page":"3328","DOI":"10.1152\/jn.90355.2008","article-title":"Evidence for a frontoparietal control system revealed by intrinsic functional connectivity","volume":"100","author":"Vincent","year":"2008","journal-title":"J Neurophysiol"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0255","doi-asserted-by":"crossref","first-page":"e48658","DOI":"10.1371\/journal.pone.0048658","article-title":"Amplitude of Low-Frequency Oscillations in First-Episode, Treatment-Naive Patients with Major Depressive Disorder: A Resting-State Functional MRI Study","volume":"7","author":"Wang","year":"2012","journal-title":"PLoS ONE"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0260","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2017.00378","article-title":"Decreased Complexity in Alzheimer's Disease: Resting-State fMRI Evidence of Brain Entropy Mapping","volume":"9","author":"Wang","year":"2017","journal-title":"Front Aging Neurosci"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0265","doi-asserted-by":"crossref","DOI":"10.1007\/s00234-019-02223-y","article-title":"Dysregulation of resting-state functional connectivity in patients with Cushing\u2019s disease","volume":"61","author":"Wang","year":"2019","journal-title":"Neuroradiology"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0270","article-title":"Decreased insular connectivity in drug-naive major depressive disorder at rest","author":"Wenbin","year":"2015","journal-title":"J Affect Disord"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0275","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.1900390116","article-title":"Reduced default mode network functional connectivity in patients with recurrent major depressive disorder","volume":"116","author":"Yan","year":"2019","journal-title":"PNAS"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0280","doi-asserted-by":"crossref","first-page":"e0133775","DOI":"10.1371\/journal.pone.0133775","article-title":"Changes of Functional Brain Networks in Major Depressive Disorder: A Graph Theoretical Analysis of Resting-State fMRI","volume":"10","author":"Ye","year":"2015","journal-title":"PLoS ONE"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0285","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":"Yeo","year":"2011","journal-title":"J Neurophysiol"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0290","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1097\/WCO.0b013e32833aa567","article-title":"Graph theoretical modeling of brain connectivity","volume":"23","author":"Yong","year":"2010","journal-title":"Curr Opin Neurol"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0295","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1016\/j.neuroimage.2003.12.030","article-title":"Regional homogeneity approach to fMRI data analysis","volume":"22","author":"Zang","year":"2004","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0300","doi-asserted-by":"crossref","first-page":"2912","DOI":"10.1093\/brain\/awr223","article-title":"Altered functional-structural coupling of large-scale brain networks in idiopathic generalized epilepsy","volume":"134","author":"Zhang","year":"2011","journal-title":"Brain A J Neurol"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0305","doi-asserted-by":"crossref","DOI":"10.1111\/cns.12835","article-title":"Brain structure alterations in depression: Psychoradiological evidence","author":"Zhang","year":"2018","journal-title":"CNS Neuroence Therapeut"},{"key":"10.1016\/j.neuroscience.2022.08.007_b0310","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1148\/radiol.12120185","article-title":"Altered brain functional connectivity in patients with cirrhosis and minimal hepatic encephalopathy: a functional MR imaging study","volume":"265","author":"Zhang","year":"2012","journal-title":"Radiology"}],"container-title":["Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306452222004122?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0306452222004122?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T16:13:18Z","timestamp":1759680798000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0306452222004122"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":62,"alternative-id":["S0306452222004122"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroscience.2022.08.007","relation":{},"ISSN":["0306-4522"],"issn-type":[{"value":"0306-4522","type":"print"}],"subject":[],"published":{"date-parts":[[2022,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Functional brain abnormalities in major depressive disorder using a multiscale community detection approach","name":"articletitle","label":"Article Title"},{"value":"Neuroscience","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroscience.2022.08.007","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 IBRO. Published by Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}