{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T11:48:29Z","timestamp":1782042509905,"version":"3.54.5"},"reference-count":33,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100017961","name":"Health Commission of Heilongjiang Province","doi-asserted-by":"publisher","award":["20240303070062"],"award-info":[{"award-number":["20240303070062"]}],"id":[{"id":"10.13039\/100017961","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018806","name":"Hubei Province Department of Science and Technology","doi-asserted-by":"publisher","award":["JCZRYB202501249"],"award-info":[{"award-number":["JCZRYB202501249"]}],"id":[{"id":"10.13039\/501100018806","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010722","name":"Harbin Medical University","doi-asserted-by":"publisher","award":["2024B10"],"award-info":[{"award-number":["2024B10"]}],"id":[{"id":"10.13039\/100010722","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","epilepsybehavior.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Epilepsy &amp; Behavior"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1016\/j.yebeh.2025.110873","type":"journal-article","created":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T17:10:47Z","timestamp":1769101847000},"page":"110873","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["An rs-fMRI based neural marker for MRI-negative temporal lobe epilepsy with depression"],"prefix":"10.1016","volume":"176","author":[{"given":"Chunyan","family":"Huang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yujun","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruoshi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongbin","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.yebeh.2025.110873_b0005","doi-asserted-by":"crossref","first-page":"745","DOI":"10.1016\/j.yebeh.2011.09.004","article-title":"Suicidality in temporal lobe epilepsy: measuring the weight of impulsivity and depression","volume":"22","author":"de Oliveira","year":"2011","journal-title":"Epilepsy Behav"},{"issue":"4","key":"10.1016\/j.yebeh.2025.110873_b0010","doi-asserted-by":"crossref","first-page":"554","DOI":"10.1007\/s10548-023-00962-z","article-title":"Distinguishing patients with MRI-negative temporal lobe epilepsy from normal controls based on individual morphological brain network","volume":"36","author":"Zhang","year":"2023","journal-title":"Brain Topogr"},{"issue":"2","key":"10.1016\/j.yebeh.2025.110873_b0015","doi-asserted-by":"crossref","first-page":"300","DOI":"10.3390\/brainsci13020300","article-title":"Altered spontaneous brain activity in poststroke aphasia: a resting-state fMRI study","volume":"13","author":"Li","year":"2023","journal-title":"Brain Sci"},{"key":"10.1016\/j.yebeh.2025.110873_b0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118503","article-title":"Advances in resting state fMRI acquisitions for functional connectomics","volume":"243","author":"Raimondo","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.yebeh.2025.110873_b0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2021.118758","article-title":"Mapping the subcortical connectivity of the human default mode network","volume":"245","author":"Li","year":"2021","journal-title":"Neuroimage"},{"key":"10.1016\/j.yebeh.2025.110873_b0030","doi-asserted-by":"crossref","first-page":"618","DOI":"10.3389\/fnins.2019.00618","article-title":"Characterizing rapid fluctuations of resting state functional connectivity in demyelinating, neurodegenerative, and psychiatric conditions: from static to time-varying analysis","volume":"13","author":"Valsasina","year":"2019","journal-title":"Front Neurosci"},{"key":"10.1016\/j.yebeh.2025.110873_b0035","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.schres.2021.09.004","article-title":"Resting-state functional connectivity predictors of treatment response in schizophrenia - a systematic review and meta-analysis","volume":"237","author":"Mehta","year":"2021","journal-title":"Schizophr Res"},{"issue":"3","key":"10.1016\/j.yebeh.2025.110873_b0040","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1002\/ana.25547","article-title":"Network-targeted approach and postoperative resting-state functional magnetic resonance imaging are associated with seizure outcome","volume":"86","author":"Boerwinkle","year":"2019","journal-title":"Ann Neurol"},{"issue":"1","key":"10.1016\/j.yebeh.2025.110873_b0045","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1186\/s12888-023-04560-y","article-title":"Examining the usefulness of the brain network marker program using fMRI for the diagnosis and stratification of major depressive disorder: a non-randomized study protocol","volume":"23","author":"Okada","year":"2023","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.yebeh.2025.110873_b0050","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/j.jad.2023.07.077","article-title":"Classification of recurrent major depressive disorder using a new time series feature extraction method through multisite rs-fMRI data","volume":"339","author":"Dai","year":"2023","journal-title":"J Affect Disord"},{"issue":"1","key":"10.1016\/j.yebeh.2025.110873_b0055","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1002\/cpp.693","article-title":"Inter-rater reliability of the structured clinical interview for DSM-IV Axis I disorders (SCID I) and Axis II disorders (SCID II)","volume":"18","author":"Lobbestael","year":"2011","journal-title":"Clin Psychol Psychother"},{"key":"10.1016\/j.yebeh.2025.110873_b0060","first-page":"13","article-title":"DPARSF: A MATLAB Toolbox for \u201cPipeline\u201d Data Analysis of Resting-State fMRI","volume":"4","author":"Chao-Gan","year":"2010","journal-title":"Front Syst Neurosci"},{"issue":"1","key":"10.1016\/j.yebeh.2025.110873_b0065","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1016\/j.jneumeth.2007.11.031","article-title":"Network homogeneity reveals decreased integrity of default-mode network in ADHD","volume":"169","author":"Uddin","year":"2008","journal-title":"J Neurosci Methods"},{"issue":"10","key":"10.1016\/j.yebeh.2025.110873_b0070","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1038\/s41583-019-0212-7","article-title":"The brain's default network: updated anatomy, physiology and evolving insights","volume":"20","author":"Buckner","year":"2019","journal-title":"Nat Rev Neurosci"},{"key":"10.1016\/j.yebeh.2025.110873_b0075","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1146\/annurev-clinpsy-032511-143049","article-title":"Default mode network activity and connectivity in psychopathology","volume":"8","author":"Whitfield-Gabrieli","year":"2012","journal-title":"Annu Rev Clin Psychol"},{"key":"10.1016\/j.yebeh.2025.110873_b0080","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1016\/j.yebeh.2015.03.031","article-title":"Altered functional connectivity among default, attention, and control networks in idiopathic generalized epilepsy","volume":"46","author":"Wei","year":"2015","journal-title":"Epilepsy Behav"},{"issue":"5","key":"10.1016\/j.yebeh.2025.110873_b0085","doi-asserted-by":"crossref","first-page":"1356","DOI":"10.3390\/s25051356","article-title":"Altered directed-connectivity network in temporal lobe epilepsy: a MEG study","volume":"25","author":"Zhang","year":"2025","journal-title":"Sensors (Basel)"},{"issue":"12","key":"10.1016\/j.yebeh.2025.110873_b0090","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1016\/j.tics.2013.09.016","article-title":"Functional connectomics from resting-state fMRI","volume":"17","author":"Smith","year":"2013","journal-title":"Trends Cogn Sci"},{"key":"10.1016\/j.yebeh.2025.110873_b0095","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.yebeh.2015.01.025","article-title":"Functional connectivity homogeneity correlates with duration of temporal lobe epilepsy","volume":"46","author":"Haneef","year":"2015","journal-title":"Epilepsy Behav"},{"issue":"26","key":"10.1016\/j.yebeh.2025.110873_b0100","doi-asserted-by":"crossref","DOI":"10.1097\/MD.0000000000011239","article-title":"Abnormal default-mode network homogeneity in patients with temporal lobe epilepsy","volume":"97","author":"Gao","year":"2018","journal-title":"Medicine (Baltimore)"},{"issue":"2","key":"10.1016\/j.yebeh.2025.110873_b0105","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1111\/epi.17142","article-title":"Abnormal functional connectivity profiles predict drug responsiveness in patients with temporal lobe epilepsy","volume":"63","author":"Wang","year":"2022","journal-title":"Epilepsia"},{"key":"10.1016\/j.yebeh.2025.110873_b0110","doi-asserted-by":"crossref","first-page":"595","DOI":"10.3389\/fneur.2017.00595","article-title":"Parahippocampal involvement in mesial temporal lobe epilepsy with hippocampal sclerosis: a proof of concept from memory-guided saccades","volume":"8","author":"Colnaghi","year":"2017","journal-title":"Front Neurol"},{"issue":"6","key":"10.1016\/j.yebeh.2025.110873_b0115","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1192\/bjp.bp.110.080218","article-title":"Neuroanatomical correlates of psychosis in temporal lobe epilepsy: voxel-based morphometry study","volume":"197","author":"Sundram","year":"2010","journal-title":"Br J Psychiatry"},{"key":"10.1016\/j.yebeh.2025.110873_b0120","doi-asserted-by":"crossref","DOI":"10.1016\/j.yebeh.2021.108196","article-title":"Memory retrieval in temporal lobe epilepsy is related to functional segregation of the mesiotemporal structures","volume":"122","author":"Str\u00fd\u010dek","year":"2021","journal-title":"Epilepsy Behav"},{"key":"10.1016\/j.yebeh.2025.110873_b0125","doi-asserted-by":"crossref","first-page":"920","DOI":"10.3389\/fneur.2019.00920","article-title":"Parcellation of the hippocampus using resting functional connectivity in temporal lobe epilepsy","volume":"10","author":"Barnett","year":"2019","journal-title":"Front Neurol"},{"key":"10.1016\/j.yebeh.2025.110873_b0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.yebeh.2021.107841","article-title":"Regional and global resting-state functional MR connectivity in temporal lobe epilepsy: results from the epilepsy connectome project","volume":"117","author":"Struck","year":"2021","journal-title":"Epilepsy Behav"},{"issue":"6","key":"10.1016\/j.yebeh.2025.110873_b0135","first-page":"4886","article-title":"Surgical strategy for temporal lobe epilepsy with dual pathology and incomplete evidence from EEG and neuroimaging","volume":"16","author":"Luan","year":"2018","journal-title":"Exp Ther Med"},{"issue":"6","key":"10.1016\/j.yebeh.2025.110873_b0140","doi-asserted-by":"crossref","first-page":"1182","DOI":"10.1016\/j.clinph.2018.03.007","article-title":"Advanced dynamic statistical parametric mapping with MEG in localizing epileptogenicity of the bottom of sulcus dysplasia","volume":"129","author":"Nakajima","year":"2018","journal-title":"Clin Neurophysiol"},{"issue":"5","key":"10.1016\/j.yebeh.2025.110873_b0145","doi-asserted-by":"crossref","first-page":"1244","DOI":"10.1111\/epi.16886","article-title":"Neurovascular multiparametric MRI defines epileptogenic and seizure propagation regions in experimental mesiotemporal lobe epilepsy","volume":"62","author":"Boux","year":"2021","journal-title":"Epilepsia"},{"key":"10.1016\/j.yebeh.2025.110873_b0150","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.eplepsyres.2018.08.009","article-title":"The impact of epilepsy duration in a series of patients with mesial temporal lobe epilepsy due to unilateral hippocampal sclerosis","volume":"147","author":"Duarte","year":"2018","journal-title":"Epilepsy Res"},{"issue":"11","key":"10.1016\/j.yebeh.2025.110873_b0155","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1177\/02698811231190859","article-title":"Hippocampal and parahippocampal volume and function predict antidepressant response in patients with major depression: a multimodal neuroimaging study","volume":"37","author":"Paolini","year":"2023","journal-title":"J Psychopharmacol"},{"issue":"9","key":"10.1016\/j.yebeh.2025.110873_b0160","doi-asserted-by":"crossref","first-page":"1572","DOI":"10.1016\/j.neurobiolaging.2009.09.008","article-title":"The posterior parahippocampal gyrus is preferentially affected in age-related memory decline","volume":"32","author":"Burgmans","year":"2011","journal-title":"Neurobiol Aging"},{"issue":"6","key":"10.1016\/j.yebeh.2025.110873_b0165","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1162\/jocn.1996.8.6.588","article-title":"A specific role for the right parahippocampal gyrus in the retrieval of object-location: a positron emission tomography study","volume":"8","author":"Owen","year":"1996","journal-title":"J Cogn Neurosci"}],"container-title":["Epilepsy &amp; Behavior"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1525505025006134?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1525505025006134?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T11:30:44Z","timestamp":1782041444000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1525505025006134"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":33,"alternative-id":["S1525505025006134"],"URL":"https:\/\/doi.org\/10.1016\/j.yebeh.2025.110873","relation":{},"ISSN":["1525-5050"],"issn-type":[{"value":"1525-5050","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An rs-fMRI based neural marker for MRI-negative temporal lobe epilepsy with depression","name":"articletitle","label":"Article Title"},{"value":"Epilepsy & Behavior","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.yebeh.2025.110873","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"110873"}}