{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T04:37:18Z","timestamp":1785299838527,"version":"3.55.0"},"reference-count":109,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,7,9]],"date-time":"2025-07-09T00:00:00Z","timestamp":1752019200000},"content-version":"vor","delay-in-days":189,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["Z200024"],"award-info":[{"award-number":["Z200024"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002799","name":"Capital Medical University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002799","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62394313"],"award-info":[{"award-number":["62394313"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62371024"],"award-info":[{"award-number":["62371024"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1016\/j.nicl.2025.103843","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T16:41:42Z","timestamp":1752597702000},"page":"103843","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["CTV-MIND: A cortical thickness-volume integrated individualized morphological network model to explore disease progression in temporal lobe epilepsy"],"prefix":"10.1016","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7518-2801","authenticated-orcid":false,"given":"Xinyan","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaqi","family":"Han","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiating","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boxuan","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qilin","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuping","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yicong","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jicong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.nicl.2025.103843_b0005","doi-asserted-by":"crossref","first-page":"e17","DOI":"10.1371\/journal.pcbi.0030017","article-title":"Efficiency and cost of economical brain functional networks","volume":"3","author":"Achard","year":"2007","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.nicl.2025.103843_b0010","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1523\/JNEUROSCI.3874-05.2006","article-title":"A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs","volume":"26","author":"Achard","year":"2006","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0015","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1111\/epi.13334","article-title":"Progression of gray matter atrophy in seizure\u2010free patients with temporal lobe epilepsy","volume":"57","author":"Alvim","year":"2016","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0020","doi-asserted-by":"crossref","unstructured":"Bassett DS, Bullmore E. 2006. Small-world brain networks. The neuroscientist. 12:512-523. https:\/\/doi.org\/10.1177\/1073858406293182.","DOI":"10.1177\/1073858406293182"},{"key":"10.1016\/j.nicl.2025.103843_b0025","doi-asserted-by":"crossref","first-page":"9239","DOI":"10.1523\/JNEUROSCI.1929-08.2008","article-title":"Hierarchical organization of human cortical networks in health and schizophrenia","volume":"28","author":"Bassett","year":"2008","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0030","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1038\/s41531-024-00646-w","article-title":"Differences in brain aging between sexes in Parkinson\u2019s disease","volume":"10","author":"Beheshti","year":"2024","journal-title":"npj Parkinson's Dis."},{"key":"10.1016\/j.nicl.2025.103843_b0035","article-title":"Bias-adjustment in neuroimaging-based brain age frameworks: a robust scheme","volume":"24","author":"Beheshti","year":"2019","journal-title":"NeuroImage: Clinical."},{"key":"10.1016\/j.nicl.2025.103843_b0040","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1111\/j.1535-7511.2010.01376.x","article-title":"Primary and secondary mechanisms of epileptogenesis in the temporal lobe: there is a before and an after","volume":"10","author":"Ben-Ari","year":"2010","journal-title":"Epilepsy Currents."},{"key":"10.1016\/j.nicl.2025.103843_b0045","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1111\/j.1528-1167.2010.02828.x","article-title":"Alterations in synaptic function in epilepsy","volume":"51","author":"Bernard","year":"2010","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0050","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1159\/000525262","article-title":"The role of MRI in the treatment of drug-resistant focal epilepsy","volume":"85","author":"Bernasconi","year":"2022","journal-title":"Eur. Neurol."},{"key":"10.1016\/j.nicl.2025.103843_b0055","doi-asserted-by":"crossref","first-page":"3237","DOI":"10.1093\/cercor\/bhv166","article-title":"Subregional mesiotemporal network topology is altered in temporal lobe epilepsy","volume":"26","author":"Bernhardt","year":"2015","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2025.103843_b0060","doi-asserted-by":"crossref","first-page":"2147","DOI":"10.1093\/cercor\/bhq291","article-title":"Graph-theoretical analysis reveals disrupted small-world organization of cortical thickness correlation networks in temporal lobe epilepsy","volume":"21","author":"Bernhardt","year":"2011","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2025.103843_b0065","doi-asserted-by":"crossref","first-page":"1747","DOI":"10.1212\/01.wnl.0000345969.57574.f5","article-title":"Longitudinal and cross-sectional analysis of atrophy in pharmacoresistant temporal lobe epilepsy","volume":"72","author":"Bernhardt","year":"2009","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2025.103843_b0070","doi-asserted-by":"crossref","first-page":"651","DOI":"10.3233\/JAD-201576","article-title":"Cortical thickness, volume, and surface area in the motoric cognitive risk syndrome","volume":"81","author":"Blumen","year":"2021","journal-title":"J. Alzheimer\u2019s Dis."},{"key":"10.1016\/j.nicl.2025.103843_b0075","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1136\/jnnp-2012-302476","article-title":"Medial temporal lobe epilepsy is associated with neuronal fibre loss and paradoxical increase in structural connectivity of limbic structures","volume":"83","author":"Bonilha","year":"2012","journal-title":"J. Neurol. Neurosurg. Psy."},{"key":"10.1016\/j.nicl.2025.103843_b0080","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1016\/j.neuroimage.2006.05.038","article-title":"Gray matter atrophy associated with duration of temporal lobe epilepsy","volume":"32","author":"Bonilha","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2025.103843_b0085","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neubiorev.2016.02.004","article-title":"Cognitive deterioration in adult epilepsy: does accelerated cognitive ageing exist?","volume":"64","author":"Breuer","year":"2016","journal-title":"Neurosci. Biobehav Rev."},{"key":"10.1016\/j.nicl.2025.103843_b0090","doi-asserted-by":"crossref","first-page":"6650","DOI":"10.1523\/JNEUROSCI.22-15-06650.2002","article-title":"Axon sprouting in a model of temporal lobe epilepsy creates a predominantly excitatory feedback circuit","volume":"22","author":"Buckmaster","year":"2002","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0095","doi-asserted-by":"crossref","DOI":"10.1101\/cshperspect.a022855","article-title":"Microcircuits in epilepsy: heterogeneity and hub cells in network synchronization","volume":"5","author":"Bui","year":"2015","journal-title":"Cold Spring Harb. Perspect. Med."},{"key":"10.1016\/j.nicl.2025.103843_b0100","doi-asserted-by":"crossref","first-page":"718","DOI":"10.1038\/s42003-024-06211-8","article-title":"Regional brain aging: premature aging of the domain general system predicts aphasia severity","volume":"7","author":"Busby","year":"2024","journal-title":"Commun. Biol."},{"key":"10.1016\/j.nicl.2025.103843_b0105","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.dcn.2016.02.011","article-title":"Longitudinal stability of the folding pattern of the anterior cingulate cortex during development","volume":"19","author":"Cachia","year":"2016","journal-title":"Dev. Cogn. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0110","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1212\/WNL.0000000000004176","article-title":"A meta-analysis on progressive atrophy in intractable temporal lobe epilepsy: Time is brain?","volume":"89","author":"Caciagli","year":"2017","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2025.103843_b0115","article-title":"Premature white matter aging in patients with right mesial temporal lobe epilepsy: a machine learning approach based on diffusion MRI data","volume":"24","author":"Chen","year":"2019","journal-title":"NeuroImage: Clinical."},{"key":"10.1016\/j.nicl.2025.103843_b0120","doi-asserted-by":"crossref","first-page":"1187","DOI":"10.1002\/hbm.23909","article-title":"Intraclass correlation: improved modeling approaches and applications for neuroimaging","volume":"39","author":"Chen","year":"2018","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2025.103843_b0125","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1037\/1040-3590.6.4.284","article-title":"Guidelines, criteria, and rules of thumb for evaluating normed and standardized assessment instruments in psychology","volume":"6","author":"Cicchetti","year":"1994","journal-title":"Psychol. Assess."},{"key":"10.1016\/j.nicl.2025.103843_b0130","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1212\/WNL.0b013e3181b783dd","article-title":"Seizure frequency and lateralization affect progression of atrophy in temporal lobe epilepsy","volume":"73","author":"Coan","year":"2009","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2025.103843_b0140","doi-asserted-by":"crossref","first-page":"1916","DOI":"10.1093\/brain\/awac477","article-title":"Non-invasive mapping of epileptogenic networks predicts surgical outcome","volume":"146","author":"Corona","year":"2023","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2025.103843_b0145","doi-asserted-by":"crossref","first-page":"e554","DOI":"10.1212\/WNL.0000000000012289","article-title":"Association of epilepsy surgery with changes in imaging-defined brain age","volume":"97","author":"de B\u00e9zenac","year":"2021","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2025.103843_b0150","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1016\/j.nicl.2015.09.006","article-title":"Frontal gray matter abnormalities predict seizure outcome in refractory temporal lobe epilepsy patients","volume":"9","author":"Doucet","year":"2015","journal-title":"NeuroImage: Clinical."},{"key":"10.1016\/j.nicl.2025.103843_b0155","series-title":"An introduction to the bootstrap","author":"Efron","year":"1994"},{"key":"10.1016\/j.nicl.2025.103843_b0160","unstructured":"Eross L, Entz L, Fab\u00f3 D, et al. 2009. \u00d6SSZEFOGLAL\u00d3 K\u00d6ZLEM\u00c9NY INTERHEMISPHERIC PROPAGATION OF SEIZURES IN MESIAL TEMPORAL LOBE EPILEPSY. Ideggyogy Sz. 62:319-325."},{"key":"10.1016\/j.nicl.2025.103843_b0165","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1016\/j.mehy.2011.02.039","article-title":"A new hypothesis of drug refractory epilepsy: neural network hypothesis","volume":"76","author":"Fang","year":"2011","journal-title":"Med. Hypotheses"},{"key":"10.1016\/j.nicl.2025.103843_b0170","doi-asserted-by":"crossref","first-page":"11050","DOI":"10.1073\/pnas.200033797","article-title":"Measuring the thickness of the human cerebral cortex from magnetic resonance images","volume":"97","author":"Fischl","year":"2000","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.nicl.2025.103843_b0175","first-page":"1373","article-title":"Network scaling effects in graph analytic studies of human resting-state FMRI data","volume":"4","author":"Fornito","year":"2010","journal-title":"Front. Syst. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0180","doi-asserted-by":"crossref","unstructured":"G Verma YJ, M Jha, LS Morris, BN Delman, L Marcuse, M Fields, P Balchandani. 2022. Quantification of brain age using high-resolution 7 tesla MR imaging and implications for patients with epilepsy. Epilepsy & behavior reports. 18:100530. https:\/\/doi.org\/10.1016\/j.ebr.2022.100530.","DOI":"10.1016\/j.ebr.2022.100530"},{"key":"10.1016\/j.nicl.2025.103843_b0185","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1001\/jamaneurol.2019.1708","article-title":"Progressive cortical thinning in patients with focal epilepsy","volume":"76","author":"Galovic","year":"2019","journal-title":"JAMA Neurol."},{"key":"10.1016\/j.nicl.2025.103843_b0190","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1016\/j.neuroimage.2015.05.046","article-title":"The (in) stability of functional brain network measures across thresholds","volume":"118","author":"Garrison","year":"2015","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2025.103843_b0195","doi-asserted-by":"crossref","DOI":"10.1126\/science.aay6690","article-title":"The genetic architecture of the human cerebral cortex","volume":"367","author":"Grasby","year":"2020","journal-title":"Science"},{"key":"10.1016\/j.nicl.2025.103843_b0200","first-page":"227","article-title":"Functional connectivity homogeneity correlates with duration of temporal lobe epilepsy","volume":"46","author":"Haneef","year":"2015","journal-title":"Epilepsy&behavior"},{"key":"10.1016\/j.nicl.2025.103843_b0205","doi-asserted-by":"crossref","first-page":"2454","DOI":"10.1093\/brain\/awaa200","article-title":"White matter abnormalities across different epilepsy syndromes in adults: an ENIGMA-Epilepsy study","volume":"143","author":"Hatton","year":"2020","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2025.103843_b0210","doi-asserted-by":"crossref","first-page":"4756","DOI":"10.1523\/JNEUROSCI.0141-08.2008","article-title":"Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease","volume":"28","author":"He","year":"2008","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0215","doi-asserted-by":"crossref","first-page":"2407","DOI":"10.1093\/cercor\/bhl149","article-title":"Small-world anatomical networks in the human brain revealed by cortical thickness from MRI","volume":"17","author":"He","year":"2007","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2025.103843_b0220","series-title":"Statistical methods for meta-analysis","author":"Hedges","year":"2014"},{"key":"10.1016\/j.nicl.2025.103843_b0225","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.nbd.2012.10.007","article-title":"Altered short-term plasticity in the prefrontal cortex after early life seizures","volume":"50","author":"Hernan","year":"2013","journal-title":"Neurobiol. Dis."},{"key":"10.1016\/j.nicl.2025.103843_b0230","doi-asserted-by":"crossref","first-page":"450","DOI":"10.3389\/fneur.2019.00450","article-title":"Cross-sectional and longitudinal MRI brain scans reveal accelerated brain aging in multiple sclerosis","volume":"10","author":"H\u00f8gest\u00f8l","year":"2019","journal-title":"Front. Neurol."},{"key":"10.1016\/j.nicl.2025.103843_b0235","article-title":"Volumetric and structural connectivity abnormalities co-localise in TLE","volume":"35","author":"Horsley","year":"2022","journal-title":"NeuroImage: Clinical."},{"key":"10.1016\/j.nicl.2025.103843_b0240","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1098\/rspb.2005.3354","article-title":"The brainstem reticular formation is a small-world, not scale-free, network","volume":"273","author":"Humphries","year":"2006","journal-title":"Proc. R. Soc. B Biol. Sci."},{"key":"10.1016\/j.nicl.2025.103843_b0245","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1004642","article-title":"Predicting surgery targets in temporal lobe epilepsy through structural connectome based simulations","volume":"11","author":"Hutchings","year":"2015","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.nicl.2025.103843_b0250","article-title":"Brain aging in temporal lobe epilepsy: Chronological, structural, and functional","volume":"25","author":"Hwang","year":"2020","journal-title":"NeuroImage: Clinical."},{"key":"10.1016\/j.nicl.2025.103843_b0255","doi-asserted-by":"crossref","first-page":"29780","DOI":"10.1038\/srep29780","article-title":"Functional brain networks: does the choice of dependency estimator and binarization method matter?","volume":"6","author":"Jalili","year":"2016","journal-title":"Sci. Rep."},{"key":"10.1016\/j.nicl.2025.103843_b0260","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1111\/epi.12966","article-title":"Mesial temporal lobe epilepsy with hippocampal sclerosis is a network disorder with altered cortical hubs","volume":"56","author":"Jin","year":"2015","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0265","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1038\/s41593-019-0471-7","article-title":"Common brain disorders are associated with heritable patterns of apparent aging of the brain","volume":"22","author":"Kaufmann","year":"2019","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0270","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1111\/j.1528-1167.2011.03347.x","article-title":"Neuroanatomic correlates of psychogenic nonepileptic seizures: a cortical thickness and VBM study","volume":"53","author":"Labate","year":"2012","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0275","doi-asserted-by":"crossref","DOI":"10.1126\/sciadv.abc6457","article-title":"Network-based atrophy modeling in the common epilepsies: a worldwide ENIGMA study","volume":"6","author":"Larivi\u00e8re","year":"2020","journal-title":"Sci. Adv."},{"key":"10.1016\/j.nicl.2025.103843_b0280","doi-asserted-by":"crossref","first-page":"4320","DOI":"10.1038\/s41467-022-31730-5","article-title":"Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression","volume":"13","author":"Larivi\u00e8re","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.nicl.2025.103843_b0285","doi-asserted-by":"crossref","DOI":"10.1103\/PhysRevLett.87.198701","article-title":"Efficient behavior of small-world networks","volume":"87","author":"Latora","year":"2001","journal-title":"Phys. Rev. Lett."},{"key":"10.1016\/j.nicl.2025.103843_b0290","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1016\/j.neuroimage.2006.01.042","article-title":"Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI","volume":"31","author":"Lerch","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2025.103843_b0295","article-title":"Effects of different correlation metrics and preprocessing factors on small-world brain functional networks: a resting-state functional MRI study","volume":"7","author":"Liang","year":"2012","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2025.103843_b0300","doi-asserted-by":"crossref","first-page":"2007","DOI":"10.1093\/cercor\/bhl109","article-title":"Reduced neocortical thickness and complexity mapped in mesial temporal lobe epilepsy with hippocampal sclerosis","volume":"17","author":"Lin","year":"2007","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2025.103843_b0305","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1111\/epi.12581","article-title":"Disrupted anatomic white matter network in left mesial temporal lobe epilepsy","volume":"55","author":"Liu","year":"2014","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0310","doi-asserted-by":"crossref","DOI":"10.1016\/j.eplepsyres.2021.106548","article-title":"Neural functional connectivity in patients with periventricular nodular heterotopia-mediated epilepsy","volume":"170","author":"Liu","year":"2021","journal-title":"Epilepsy Res."},{"key":"10.1016\/j.nicl.2025.103843_b0315","doi-asserted-by":"crossref","DOI":"10.1002\/hbm.70033","article-title":"Dynamic evolution of frontal\u2010temporal network connectivity in temporal lobe epilepsy: a magnetoencephalography study","volume":"45","author":"Liu","year":"2024","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2025.103843_b0320","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1515\/tnsci-2020-0111","article-title":"Deviant cortical sulcation related to schizophrenia and cognitive deficits in the second trimester","volume":"11","author":"MacKinley","year":"2020","journal-title":"Transl. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0325","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1037\/1082-989X.1.1.30","article-title":"Forming inferences about some intraclass correlation coefficients","volume":"1","author":"McGraw","year":"1996","journal-title":"Psychol. Methods"},{"key":"10.1016\/j.nicl.2025.103843_b0330","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1109\/RBME.2021.3107372","article-title":"A review of neuroimaging-driven brain age estimation for identification of brain disorders and health conditions","volume":"16","author":"Mishra","year":"2021","journal-title":"IEEE Rev. Biomed. Eng."},{"key":"10.1016\/j.nicl.2025.103843_b0335","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1111\/epi.13622","article-title":"Identifying the epileptogenic zone in interictal resting\u2010state MEG source\u2010space networks","volume":"58","author":"Nissen","year":"2017","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0340","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1016\/j.nicl.2018.03.030","article-title":"Disrupted grey matter network morphology in pediatric posttraumatic stress disorder","volume":"18","author":"Niu","year":"2018","journal-title":"Neuroimage: Clinical."},{"key":"10.1016\/j.nicl.2025.103843_b0345","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.nicl.2016.12.005","article-title":"Metrics of brain network architecture capture the impact of disease in children with epilepsy","volume":"13","author":"Paldino","year":"2017","journal-title":"Neuroimage: Clin."},{"key":"10.1016\/j.nicl.2025.103843_b0350","doi-asserted-by":"crossref","first-page":"2728","DOI":"10.1093\/cercor\/bhp026","article-title":"Distinct genetic influences on cortical surface area and cortical thickness","volume":"19","author":"Panizzon","year":"2009","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2025.103843_b0355","doi-asserted-by":"crossref","first-page":"1895","DOI":"10.1212\/WNL.0b013e318292a2e5","article-title":"Sodium valproate use is associated with reduced parietal lobe thickness and brain volume","volume":"80","author":"Pardoe","year":"2013","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2025.103843_b0360","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.eplepsyres.2017.03.007","article-title":"Structural brain changes in medically refractory focal epilepsy resemble premature brain aging","volume":"133","author":"Pardoe","year":"2017","journal-title":"Epilepsy Res."},{"key":"10.1016\/j.nicl.2025.103843_b0365","doi-asserted-by":"crossref","unstructured":"P\u00e9rez-Cruz F editor. Kullback-Leibler divergence estimation of continuous distributions, 2008 IEEE international symposium on information theory; 2008:IEEE. 1666-1670 p.","DOI":"10.1109\/ISIT.2008.4595271"},{"key":"10.1016\/j.nicl.2025.103843_b0370","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2021.761954","article-title":"Local brain-age: a U-net model","volume":"13","author":"Popescu","year":"2021","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0375","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1016\/j.neubiorev.2021.08.003","article-title":"Brain injuries can set up an epileptogenic neuronal network","volume":"129","author":"Pototskiy","year":"2021","journal-title":"Neuroscience Biobehavioral Reviews"},{"key":"10.1016\/j.nicl.2025.103843_b0380","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.neuroimage.2015.05.096","article-title":"Nodal approach reveals differential impact of lateralized focal epilepsies on hub reorganization","volume":"118","author":"Ridley","year":"2015","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2025.103843_b0385","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1111\/epi.17171","article-title":"Epilepsy and brain network hubs","volume":"63","author":"Royer","year":"2022","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0390","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: uses and interpretations","volume":"52","author":"Rubinov","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2025.103843_b0395","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1111\/j.1469-8986.2007.00621.x","article-title":"Combining structural and functional neuroimaging data for studying brain connectivity: a review","volume":"45","author":"Rykhlevskaia","year":"2008","journal-title":"Psychophysiology"},{"key":"10.1016\/j.nicl.2025.103843_b0400","doi-asserted-by":"crossref","first-page":"1461","DOI":"10.1038\/s41593-023-01376-7","article-title":"Robust estimation of cortical similarity networks from brain MRI","volume":"26","author":"Sebenius","year":"2023","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0405","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1037\/0033-2909.86.2.420","article-title":"Intraclass correlations: uses in assessing rater reliability","volume":"86","author":"Shrout","year":"1979","journal-title":"Psychol. Bull."},{"key":"10.1016\/j.nicl.2025.103843_b0410","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1214\/13-SS103","article-title":"Analyzing complex functional brain networks: fusing statistics and network science to understand the brain","volume":"7","author":"Simpson","year":"2013","journal-title":"Stat. Surv."},{"key":"10.1016\/j.nicl.2025.103843_b0415","doi-asserted-by":"crossref","first-page":"1850","DOI":"10.3390\/jpm12111850","article-title":"Neuroimaging-based brain age estimation: a promising personalized biomarker in neuropsychiatry","volume":"12","author":"Sone","year":"2022","journal-title":"J. Pers. Med."},{"key":"10.1016\/j.nicl.2025.103843_b0420","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1038\/s41380-019-0446-9","article-title":"Neuroimaging-based brain-age prediction in diverse forms of epilepsy: a signature of psychosis and beyond","volume":"26","author":"Sone","year":"2021","journal-title":"Mol. Psychiatry"},{"key":"10.1016\/j.nicl.2025.103843_b0425","doi-asserted-by":"crossref","first-page":"19156","DOI":"10.1038\/s41598-024-70313-w","article-title":"White matter brain-age in diverse forms of epilepsy and interictal psychosis","volume":"14","author":"Sone","year":"2024","journal-title":"Sci. Rep."},{"key":"10.1016\/j.nicl.2025.103843_b0430","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1002\/1531-8249(199907)46:1<45::AID-ANA8>3.0.CO;2-I","article-title":"Seizure control and mortality in epilepsy","volume":"46","author":"Sperling","year":"1999","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.nicl.2025.103843_b0435","doi-asserted-by":"crossref","first-page":"748","DOI":"10.1016\/j.seizure.2012.08.012","article-title":"Computational models of epilepsy","volume":"21","author":"Stefanescu","year":"2012","journal-title":"Seizure"},{"key":"10.1016\/j.nicl.2025.103843_b0440","doi-asserted-by":"crossref","first-page":"6071","DOI":"10.1038\/s41467-022-33829-1","article-title":"Genetic map of regional sulcal morphology in the human brain from UK biobank data","volume":"13","author":"Sun","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.nicl.2025.103843_b0445","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1002\/hbm.22181","article-title":"Functional connectivity evidence of cortico\u2013cortico inhibition in temporal lobe epilepsy","volume":"35","author":"Tracy","year":"2014","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2025.103843_b0450","doi-asserted-by":"crossref","first-page":"e8081","DOI":"10.1371\/journal.pone.0008081","article-title":"Long-term effects of temporal lobe epilepsy on local neural networks: a graph theoretical analysis of corticography recordings","volume":"4","author":"Van Dellen","year":"2009","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2025.103843_b0455","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0013701","article-title":"Comparing brain networks of different size and connectivity density using graph theory","volume":"5","author":"Van Wijk","year":"2010","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2025.103843_b0460","doi-asserted-by":"crossref","first-page":"21803","DOI":"10.1038\/s41598-020-78471-3","article-title":"Cellular correlates of cortical thinning throughout the lifespan","volume":"10","author":"Vidal-Pineiro","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.nicl.2025.103843_b0465","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1212\/WNL.0b013e318205d521","article-title":"Increased temporolimbic cortical folding complexity in temporal lobe epilepsy","volume":"76","author":"Voets","year":"2011","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2025.103843_b0470","doi-asserted-by":"crossref","unstructured":"Wagstyl K, Lerch JP. 2018. Cortical thickness. In. Brain morphometry Springer p 35-49.","DOI":"10.1007\/978-1-4939-7647-8_3"},{"key":"10.1016\/j.nicl.2025.103843_b0475","article-title":"Toward individualized connectomes of brain morphology","author":"Wang","year":"2024","journal-title":"Trends Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0480","first-page":"386","article-title":"GRETNA: a graph theoretical network analysis toolbox for imaging connectomics","volume":"9","author":"Wang","year":"2015","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0485","doi-asserted-by":"crossref","first-page":"e1461","DOI":"10.1002\/wics.1461","article-title":"Nonparametric density estimation for high\u2010dimensional data\u2014Algorithms and applications","volume":"11","author":"Wang","year":"2019","journal-title":"Wiley Interdiscip. Rev. Comput. Stat."},{"key":"10.1016\/j.nicl.2025.103843_b0490","doi-asserted-by":"crossref","unstructured":"Watts DJ, Strogatz SH. 1998. Collective dynamics of \u2018small-world\u2019networks. nature. 393:440-442. https:\/\/doi.org\/10.1038\/30918.","DOI":"10.1038\/30918"},{"key":"10.1016\/j.nicl.2025.103843_b0495","doi-asserted-by":"crossref","first-page":"1135","DOI":"10.1016\/j.neuroimage.2009.12.028","article-title":"Cortical thickness or grey matter volume? the importance of selecting the phenotype for imaging genetics studies","volume":"53","author":"Winkler","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2025.103843_b0500","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1016\/j.nicl.2016.05.010","article-title":"Whole-brain analytic measures of network communication reveal increased structure-function correlation in right temporal lobe epilepsy","volume":"11","author":"Wirsich","year":"2016","journal-title":"NeuroImage: Clinical."},{"key":"10.1016\/j.nicl.2025.103843_b0505","doi-asserted-by":"crossref","first-page":"1992","DOI":"10.1111\/epi.13225","article-title":"Aberrant topological patterns of brain structural network in temporal lobe epilepsy","volume":"56","author":"Yasuda","year":"2015","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0510","doi-asserted-by":"crossref","first-page":"1116","DOI":"10.1016\/j.neuroimage.2006.01.015","article-title":"User-guided 3D active contour segmentation of anatomical structures: significantly improved efficiency and reliability","volume":"31","author":"Yushkevich","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.nicl.2025.103843_b0515","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1111\/epi.12066","article-title":"Alterations in regional homogeneity of resting\u2010state brain activity in mesial temporal lobe epilepsy","volume":"54","author":"Zeng","year":"2013","journal-title":"Epilepsia"},{"key":"10.1016\/j.nicl.2025.103843_b0520","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1016\/j.biopsych.2011.05.018","article-title":"Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder","volume":"70","author":"Zhang","year":"2011","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.nicl.2025.103843_b0525","doi-asserted-by":"crossref","first-page":"2912","DOI":"10.1093\/brain\/awr223","article-title":"Altered functional\u2013structural coupling of large-scale brain networks in idiopathic generalized epilepsy","volume":"134","author":"Zhang","year":"2011","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2025.103843_b0530","first-page":"783","article-title":"Regional radiomics similarity networks (R2SNs) in the human brain: Reproducibility, small-world properties and a biological basis","volume":"5","author":"Zhao","year":"2021","journal-title":"Network Neurosci."},{"key":"10.1016\/j.nicl.2025.103843_b0535","doi-asserted-by":"crossref","DOI":"10.1002\/advs.202270073","article-title":"Regional radiomics similarity networks reveal distinct subtypes and abnormality patterns in mild cognitive impairment","volume":"9","author":"Zhao","year":"2022","journal-title":"Adv. Sci."},{"key":"10.1016\/j.nicl.2025.103843_b0540","doi-asserted-by":"crossref","DOI":"10.1016\/j.yebeh.2021.108272","article-title":"Recovery of cortical atrophy in patients with temporal lobe epilepsy after successful anterior temporal lobectomy","volume":"123","author":"Zhao","year":"2021","journal-title":"Epilepsy Behavior."},{"key":"10.1016\/j.nicl.2025.103843_b0545","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1038\/s41398-023-02379-5","article-title":"Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age prediction: a multicenter study","volume":"13","author":"Zhu","year":"2023","journal-title":"Transl. Psychiatry"},{"key":"10.1016\/j.nicl.2025.103843_b0550","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1007\/BF00304699","article-title":"The human pattern of gyrification in the cerebral cortex","volume":"179","author":"Zilles","year":"1988","journal-title":"Anat. Embryol."}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158225001135?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158225001135?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T09:56:22Z","timestamp":1765446982000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158225001135"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":109,"alternative-id":["S2213158225001135"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2025.103843","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"CTV-MIND: A cortical thickness-volume integrated individualized morphological network model to explore disease progression in temporal lobe epilepsy","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2025.103843","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"103843"}}