{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T22:51:14Z","timestamp":1780527074352,"version":"3.54.1"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T00:00:00Z","timestamp":1761091200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T00:00:00Z","timestamp":1761091200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82171919"],"award-info":[{"award-number":["82171919"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Intelligent Medical Imaging Engineering Research Center of Guizhou Higher Education Institutions project","award":["Qianjiaoji [2023] 038"],"award-info":[{"award-number":["Qianjiaoji [2023] 038"]}]},{"name":"Construction of Scientific and Technological Innovation Talent Team of Functional Imaging and Artificial Intelligence Application Research in Guizhou Province","award":["QianKeHeRenCai CXTD [2025] 047"],"award-info":[{"award-number":["QianKeHeRenCai CXTD [2025] 047"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Rep"],"DOI":"10.1038\/s41598-025-20784-2","type":"journal-article","created":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:52:04Z","timestamp":1761126724000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Alterations of multilayer network correlated with cognitive impairment and gene expression profiles in children with idiopathic generalized epilepsy"],"prefix":"10.1038","volume":"15","author":[{"given":"Haifeng","family":"Ran","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qiane","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaqi","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kexin","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxin","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuhong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tijiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,10,22]]},"reference":[{"key":"20784_CR1","doi-asserted-by":"publisher","DOI":"10.1212\/wnl.0000000000208076","volume":"102","author":"O Devinsky","year":"2024","unstructured":"Devinsky, O., Elder, C., Sivathamboo, S., Scheffer, I. E. & Koepp, M. J. Idiopathic generalized epilepsy. Neurology 102, e208076. https:\/\/doi.org\/10.1212\/wnl.0000000000208076 (2024).","journal-title":"Neurology"},{"key":"20784_CR2","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1016\/s0140-6736(18)32596-0","volume":"393","author":"RD Thijs","year":"2019","unstructured":"Thijs, R. D., Surges, R., O\u2019Brien, T. J. & Sander, J. W. Epilepsy in adults. Lancet 393, 689\u2013701. https:\/\/doi.org\/10.1016\/s0140-6736(18)32596-0 (2019).","journal-title":"Lancet"},{"key":"20784_CR3","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/s1474-4422(18)30454-x","volume":"18","author":"E Beghi","year":"2019","unstructured":"Beghi, E. et al. Global, regional, and national burden of epilepsy, 1990\u20132016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. 18, 357\u2013375. https:\/\/doi.org\/10.1016\/s1474-4422(18)30454-x (2019).","journal-title":"Lancet Neurol."},{"key":"20784_CR4","doi-asserted-by":"publisher","first-page":"1475","DOI":"10.1111\/epi.17236","volume":"63","author":"E Hirsch","year":"2022","unstructured":"Hirsch, E. et al. ILAE definition of the idiopathic generalized epilepsy syndromes: Position statement by the ILAE task force on nosology and definitions. Epilepsia 63, 1475\u20131499. https:\/\/doi.org\/10.1111\/epi.17236 (2022).","journal-title":"Epilepsia"},{"key":"20784_CR5","doi-asserted-by":"publisher","first-page":"4713","DOI":"10.1007\/s00415-023-11834-8","volume":"270","author":"H Chu","year":"2023","unstructured":"Chu, H., Zhang, X., Shi, J., Zhou, Z. & Yang, X. Antiseizure medications for idiopathic generalized epilepsies: A systematic review and network meta-analysis. J. Neurol. 270, 4713\u20134728. https:\/\/doi.org\/10.1007\/s00415-023-11834-8 (2023).","journal-title":"J. Neurol."},{"key":"20784_CR6","doi-asserted-by":"publisher","first-page":"4320","DOI":"10.1038\/s41467-022-31730-5","volume":"13","author":"S Larivi\u00e8re","year":"2022","unstructured":"Larivi\u00e8re, S. et al. Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression. Nat. Commun. 13, 4320. https:\/\/doi.org\/10.1038\/s41467-022-31730-5 (2022).","journal-title":"Nat. Commun."},{"key":"20784_CR7","doi-asserted-by":"publisher","first-page":"2930","DOI":"10.1016\/j.acra.2023.12.043","volume":"31","author":"H Ran","year":"2024","unstructured":"Ran, H. et al. Altered white-matter functional network in children with idiopathic generalized epilepsy. Acad. Radiol. 31, 2930\u20132941. https:\/\/doi.org\/10.1016\/j.acra.2023.12.043 (2024).","journal-title":"Acad. Radiol."},{"key":"20784_CR8","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.918513","volume":"16","author":"G Chen","year":"2022","unstructured":"Chen, G. et al. Alterations of cerebral perfusion and functional connectivity in children with idiopathic generalized epilepsy. Front. Neurosci. 16, 918513. https:\/\/doi.org\/10.3389\/fnins.2022.918513 (2022).","journal-title":"Front. Neurosci."},{"key":"20784_CR9","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1111\/cns.14039","volume":"29","author":"J Hu","year":"2022","unstructured":"Hu, J. et al. Altered neurovascular coupling in children with idiopathic generalized epilepsy. CNS Neurosci. Ther. 29, 609\u2013618. https:\/\/doi.org\/10.1111\/cns.14039 (2022).","journal-title":"CNS Neurosci. Ther."},{"key":"20784_CR10","doi-asserted-by":"publisher","first-page":"fcab196","DOI":"10.1093\/braincomms\/fcab196","volume":"3","author":"EJ Pegg","year":"2021","unstructured":"Pegg, E. J. et al. Functional network topology in drug resistant and well-controlled idiopathic generalized epilepsy: A resting state functional MRI study. Brain Commun. 3, fcab196. https:\/\/doi.org\/10.1093\/braincomms\/fcab196 (2021).","journal-title":"Brain Commun."},{"key":"20784_CR11","doi-asserted-by":"publisher","first-page":"1058","DOI":"10.1109\/tmi.2018.2877576","volume":"38","author":"H Wang","year":"2019","unstructured":"Wang, H. et al. Recognizing brain states using deep sparse recurrent neural network. IEEE Trans. Med. Imaging 38, 1058\u20131068. https:\/\/doi.org\/10.1109\/tmi.2018.2877576 (2019).","journal-title":"IEEE Trans. Med. Imaging"},{"key":"20784_CR12","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1093\/cercor\/bhs352","volume":"24","author":"EA Allen","year":"2014","unstructured":"Allen, E. A. et al. Tracking whole-brain connectivity dynamics in the resting state. Cereb. Cortex 24, 663\u2013676. https:\/\/doi.org\/10.1093\/cercor\/bhs352 (2014).","journal-title":"Cereb. Cortex"},{"key":"20784_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcn.2023.101280","volume":"63","author":"X Di","year":"2023","unstructured":"Di, X., Xu, T., Uddin, L. Q. & Biswal, B. B. Individual differences in time-varying and stationary brain connectivity during movie watching from childhood to early adulthood: Age, sex, and behavioral associations. Dev. Cogn. Neurosci. 63, 101280. https:\/\/doi.org\/10.1016\/j.dcn.2023.101280 (2023).","journal-title":"Dev. Cogn. Neurosci."},{"key":"20784_CR14","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1016\/j.bpsc.2022.09.003","volume":"8","author":"X Suo","year":"2023","unstructured":"Suo, X. et al. Multilayer network analysis of dynamic network reconfiguration in adults with posttraumatic stress disorder. Biol. Psychiatry Cogn. Neurosci. Neuroimaging 8, 452\u2013461. https:\/\/doi.org\/10.1016\/j.bpsc.2022.09.003 (2023).","journal-title":"Biol. Psychiatry Cogn. Neurosci. Neuroimaging"},{"key":"20784_CR15","doi-asserted-by":"publisher","DOI":"10.1002\/brb3.3316","volume":"13","author":"J Kim","year":"2023","unstructured":"Kim, J., Lee, D. A., Lee, H. J. & Park, K. M. Multilayer network changes in patients with migraine. Brain Behav. 13, e3316. https:\/\/doi.org\/10.1002\/brb3.3316 (2023).","journal-title":"Brain Behav."},{"key":"20784_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/cercor\/bhad436","volume":"34","author":"X Suo","year":"2024","unstructured":"Suo, X. et al. Multilayer analysis of dynamic network reconfiguration in pediatric posttraumatic stress disorder. Cereb. Cortex 34, 1\u201310. https:\/\/doi.org\/10.1093\/cercor\/bhad436 (2024).","journal-title":"Cereb. Cortex"},{"key":"20784_CR17","doi-asserted-by":"publisher","first-page":"2050065","DOI":"10.1142\/s0129065720500653","volume":"30","author":"S Jiang","year":"2020","unstructured":"Jiang, S. et al. Dynamic temporospatial patterns of functional connectivity and alterations in idiopathic generalized epilepsy. Int. J. Neural Syst. 30, 2050065. https:\/\/doi.org\/10.1142\/s0129065720500653 (2020).","journal-title":"Int. J. Neural Syst."},{"key":"20784_CR18","doi-asserted-by":"publisher","first-page":"957","DOI":"10.1002\/hbm.23430","volume":"38","author":"F Liu","year":"2017","unstructured":"Liu, F. et al. Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic-clonic seizure. Hum. Brain Mapp. 38, 957\u2013973. https:\/\/doi.org\/10.1002\/hbm.23430 (2017).","journal-title":"Hum. Brain Mapp."},{"key":"20784_CR19","doi-asserted-by":"publisher","first-page":"1471","DOI":"10.1038\/s41588-023-01485-w","volume":"55","author":"R Stevelink","year":"2023","unstructured":"Stevelink, R. et al. GWAS meta-analysis of over 29,000 people with epilepsy identifies 26 risk loci and subtype-specific genetic architecture. Nat. Genet. 55, 1471\u20131482. https:\/\/doi.org\/10.1038\/s41588-023-01485-w (2023).","journal-title":"Nat. Genet."},{"key":"20784_CR20","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1038\/nature11405","volume":"489","author":"MJ Hawrylycz","year":"2012","unstructured":"Hawrylycz, M. J. et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature 489, 391\u2013399. https:\/\/doi.org\/10.1038\/nature11405 (2012).","journal-title":"Nature"},{"key":"20784_CR21","doi-asserted-by":"publisher","DOI":"10.1126\/sciadv.abc6457","volume":"6","author":"S Larivi\u00e8re","year":"2020","unstructured":"Larivi\u00e8re, S. et al. Network-based atrophy modeling in the common epilepsies: A worldwide ENIGMA study. Sci. Adv. 6, eabc6457. https:\/\/doi.org\/10.1126\/sciadv.abc6457 (2020).","journal-title":"Sci. Adv."},{"key":"20784_CR22","doi-asserted-by":"publisher","first-page":"1384","DOI":"10.1038\/s41380-022-01519-5","volume":"27","author":"M Xia","year":"2022","unstructured":"Xia, M. et al. Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes. Mol. Psychiatry 27, 1384\u20131393. https:\/\/doi.org\/10.1038\/s41380-022-01519-5 (2022).","journal-title":"Mol. Psychiatry"},{"key":"20784_CR23","doi-asserted-by":"publisher","first-page":"763","DOI":"10.1186\/s12967-024-05580-2","volume":"22","author":"L Qin","year":"2024","unstructured":"Qin, L. et al. Dynamic functional connectivity and gene expression correlates in temporal lobe epilepsy: Insights from hidden Markov models. J. Transl. Med. 22, 763. https:\/\/doi.org\/10.1186\/s12967-024-05580-2 (2024).","journal-title":"J. Transl. Med."},{"key":"20784_CR24","doi-asserted-by":"publisher","DOI":"10.1142\/s0129065720500653","volume":"30","author":"S Jiang","year":"2020","unstructured":"Jiang, S. et al. Dynamic temporospatial patterns of functional connectivity and alterations in idiopathic generalized epilepsy. Int. J. Neural Syst. 30, 2050065. https:\/\/doi.org\/10.1142\/s0129065720500653 (2020).","journal-title":"Int. J. Neural Syst."},{"key":"20784_CR25","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.neuroimage.2018.06.020","volume":"181","author":"M Pedersen","year":"2018","unstructured":"Pedersen, M., Omidvarnia, A., Zalesky, A. & Jackson, G. D. On the relationship between instantaneous phase synchrony and correlation-based sliding windows for time-resolved fMRI connectivity analysis. Neuroimage 181, 85\u201394. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.06.020 (2018).","journal-title":"Neuroimage"},{"key":"20784_CR26","doi-asserted-by":"publisher","first-page":"3095","DOI":"10.1093\/cercor\/bhx179","volume":"28","author":"A Schaefer","year":"2018","unstructured":"Schaefer, A. et al. Local\u2013global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI. Cereb. Cortex 28, 3095\u20133114. https:\/\/doi.org\/10.1093\/cercor\/bhx179 (2018).","journal-title":"Cereb. Cortex"},{"key":"20784_CR27","doi-asserted-by":"publisher","first-page":"1125","DOI":"10.1152\/jn.00338.2011","volume":"106","author":"BT Yeo","year":"2011","unstructured":"Yeo, B. T. et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125\u20131165. https:\/\/doi.org\/10.1152\/jn.00338.2011 (2011).","journal-title":"J. Neurophysiol."},{"key":"20784_CR28","doi-asserted-by":"publisher","first-page":"622","DOI":"10.1016\/j.neuroimage.2018.06.001","volume":"178","author":"Z Cui","year":"2018","unstructured":"Cui, Z. & Gong, G. The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features. Neuroimage 178, 622\u2013637. https:\/\/doi.org\/10.1016\/j.neuroimage.2018.06.001 (2018).","journal-title":"Neuroimage"},{"key":"20784_CR29","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.72129","volume":"10","author":"RD Markello","year":"2021","unstructured":"Markello, R. D. et al. Standardizing workflows in imaging transcriptomics with the abagen toolbox. Elife 10, e72129. https:\/\/doi.org\/10.7554\/eLife.72129 (2021).","journal-title":"Elife"},{"key":"20784_CR30","first-page":"549","volume-title":"Computational Toxicology Methods in Molecular Biology","author":"H Abdi","year":"2013","unstructured":"Abdi, H. & Williams, L. J. Computational Toxicology Methods in Molecular Biology Vol. 23, 549\u2013579 (Springer, 2013)."},{"key":"20784_CR31","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1093\/cercor\/bhx249","volume":"28","author":"F Vasa","year":"2018","unstructured":"Vasa, F. et al. Adolescent tuning of association cortex in human structural brain networks. Cereb. Cortex 28, 281\u2013294. https:\/\/doi.org\/10.1093\/cercor\/bhx249 (2018).","journal-title":"Cereb. Cortex"},{"key":"20784_CR32","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1038\/s41467-019-09234-6","volume":"10","author":"Y Zhou","year":"2019","unstructured":"Zhou, Y. et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat. Commun. 10, 1523. https:\/\/doi.org\/10.1038\/s41467-019-09234-6 (2019).","journal-title":"Nat. Commun."},{"key":"20784_CR33","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1002\/pro.3715","volume":"28","author":"M Kanehisa","year":"2019","unstructured":"Kanehisa, M. Toward understanding the origin and evolution of cellular organisms. Protein Sci. 28, 1947\u20131951. https:\/\/doi.org\/10.1002\/pro.3715 (2019).","journal-title":"Protein Sci."},{"key":"20784_CR34","doi-asserted-by":"publisher","first-page":"D672","DOI":"10.1093\/nar\/gkae909","volume":"53","author":"M Kanehisa","year":"2025","unstructured":"Kanehisa, M., Furumichi, M., Sato, Y., Matsuura, Y. & Ishiguro-Watanabe, M. KEGG: Biological systems database as a model of the real world. Nucleic Acids Res. 53, D672-d677. https:\/\/doi.org\/10.1093\/nar\/gkae909 (2025).","journal-title":"Nucleic Acids Res."},{"key":"20784_CR35","doi-asserted-by":"publisher","first-page":"3358","DOI":"10.1038\/s41467-020-17051-5","volume":"11","author":"J Seidlitz","year":"2020","unstructured":"Seidlitz, J. et al. Transcriptomic and cellular decoding of regional brain vulnerability to neurogenetic disorders. Nat. Commun. 11, 3358. https:\/\/doi.org\/10.1038\/s41467-020-17051-5 (2020).","journal-title":"Nat. Commun."},{"key":"20784_CR36","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.biopsych.2019.12.005","volume":"88","author":"R Romero-Garcia","year":"2020","unstructured":"Romero-Garcia, R. et al. Schizotypy-related magnetization of cortex in healthy adolescence is colocated with expression of schizophrenia-related genes. Biol. Psychiatry 88, 248\u2013259. https:\/\/doi.org\/10.1016\/j.biopsych.2019.12.005 (2020).","journal-title":"Biol. Psychiatry"},{"key":"20784_CR37","doi-asserted-by":"publisher","first-page":"1712","DOI":"10.3171\/2022.9.Jns221640","volume":"138","author":"B Luo","year":"2023","unstructured":"Luo, B. et al. Altered brain network centrality in Parkinson\u2019s disease patients after deep brain stimulation: A functional MRI study using a voxel-wise degree centrality approach. J. Neurosurg. 138, 1712\u20131719. https:\/\/doi.org\/10.3171\/2022.9.Jns221640 (2023).","journal-title":"J. Neurosurg."},{"key":"20784_CR38","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.neuroimage.2009.12.011","volume":"50","author":"C Chang","year":"2010","unstructured":"Chang, C. & Glover, G. H. Time\u2013frequency dynamics of resting-state brain connectivity measured with fMRI. Neuroimage 50, 81\u201398. https:\/\/doi.org\/10.1016\/j.neuroimage.2009.12.011 (2010).","journal-title":"Neuroimage"},{"key":"20784_CR39","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2023.119933","volume":"269","author":"DJ Shaw","year":"2023","unstructured":"Shaw, D. J., Czek\u00f3ov\u00e1, K., Mare\u010dek, R., Havlice \u0160pil\u00e1kov\u00e1, B. & Br\u00e1zdil, M. The interacting brain: Dynamic functional connectivity among canonical brain networks dissociates cooperative from competitive social interactions. Neuroimage 269, 119933. https:\/\/doi.org\/10.1016\/j.neuroimage.2023.119933 (2023).","journal-title":"Neuroimage"},{"key":"20784_CR40","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1109\/tmi.2020.3030047","volume":"40","author":"CM Ting","year":"2021","unstructured":"Ting, C. M., Samdin, S. B., Tang, M. & Ombao, H. Detecting dynamic community structure in functional brain networks across individuals: A multilayer approach. IEEE Trans. Med. Imaging 40, 468\u2013480. https:\/\/doi.org\/10.1109\/tmi.2020.3030047 (2021).","journal-title":"IEEE Trans. Med. Imaging"},{"key":"20784_CR41","doi-asserted-by":"publisher","first-page":"2981","DOI":"10.1093\/brain\/awy223","volume":"141","author":"C Tangwiriyasakul","year":"2018","unstructured":"Tangwiriyasakul, C. et al. Dynamic brain network states in human generalized spike-wave discharges. Brain 141, 2981\u20132994. https:\/\/doi.org\/10.1093\/brain\/awy223 (2018).","journal-title":"Brain"},{"key":"20784_CR42","doi-asserted-by":"publisher","first-page":"876","DOI":"10.1126\/science.1184819","volume":"328","author":"PJ Mucha","year":"2010","unstructured":"Mucha, P. J., Richardson, T., Macon, K., Porter, M. A. & Onnela, J.-P. Community structure in time-dependent, multiscale, and multiplex networks. Science 328, 876\u2013878. https:\/\/doi.org\/10.1126\/science.1184819 (2010).","journal-title":"Science"},{"key":"20784_CR43","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2024.106425","volume":"192","author":"Y Li","year":"2024","unstructured":"Li, Y., Ran, Y., Yao, M. & Chen, Q. Altered static and dynamic functional connectivity of the default mode network across epilepsy subtypes in children: A resting-state fMRI study. Neurobiol. Dis. 192, 106425. https:\/\/doi.org\/10.1016\/j.nbd.2024.106425 (2024).","journal-title":"Neurobiol. Dis."},{"key":"20784_CR44","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.neuroimage.2017.02.066","volume":"152","author":"X Liao","year":"2017","unstructured":"Liao, X., Cao, M., Xia, M. & He, Y. Individual differences and time-varying features of modular brain architecture. Neuroimage 152, 94\u2013107. https:\/\/doi.org\/10.1016\/j.neuroimage.2017.02.066 (2017).","journal-title":"Neuroimage"},{"key":"20784_CR45","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/j.tics.2011.08.003","volume":"15","author":"V Menon","year":"2011","unstructured":"Menon, V. Large-scale brain networks and psychopathology: A unifying triple network model. Trends Cogn. Sci. 15, 483\u2013506. https:\/\/doi.org\/10.1016\/j.tics.2011.08.003 (2011).","journal-title":"Trends Cogn. Sci."},{"key":"20784_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2022.110669","volume":"39","author":"CM Garin","year":"2022","unstructured":"Garin, C. M. et al. An evolutionary gap in primate default mode network organization. Cell Rep. 39, 110669. https:\/\/doi.org\/10.1016\/j.celrep.2022.110669 (2022).","journal-title":"Cell Rep."},{"key":"20784_CR47","doi-asserted-by":"publisher","first-page":"1779","DOI":"10.1093\/cercor\/bhz202","volume":"30","author":"J Duncan","year":"2020","unstructured":"Duncan, J., Buckley, M. J., Kusunoki, M., Watanabe, K. & Kadohisa, M. Focused representation of successive task episodes in frontal and parietal cortex. Cereb. Cortex 30, 1779\u20131796. https:\/\/doi.org\/10.1093\/cercor\/bhz202 (2020).","journal-title":"Cereb. Cortex"},{"key":"20784_CR48","doi-asserted-by":"publisher","first-page":"13376","DOI":"10.1073\/pnas.1814785115","volume":"115","author":"M Pedersen","year":"2018","unstructured":"Pedersen, M., Zalesky, A., Omidvarnia, A. & Jackson, G. D. Multilayer network switching rate predicts brain performance. Proc. Natl. Acad. Sci. 115, 13376\u201313381. https:\/\/doi.org\/10.1073\/pnas.1814785115 (2018).","journal-title":"Proc. Natl. Acad. Sci."},{"key":"20784_CR49","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1093\/cercor\/bhw371","volume":"27","author":"L Sugiura","year":"2017","unstructured":"Sugiura, L. et al. Age-dependent effects of catechol-O-methyltransferase (COMT) gene Val158Met polymorphism on language function in developing children. Cereb. Cortex 27, 104\u2013116. https:\/\/doi.org\/10.1093\/cercor\/bhw371 (2017).","journal-title":"Cereb. Cortex"},{"key":"20784_CR50","doi-asserted-by":"publisher","DOI":"10.7554\/eLife.58116","volume":"9","author":"M Ouyang","year":"2020","unstructured":"Ouyang, M. et al. Diffusion-MRI-based regional cortical microstructure at birth for predicting neurodevelopmental outcomes of 2-year-olds. Elife 9, e58116. https:\/\/doi.org\/10.7554\/eLife.58116 (2020).","journal-title":"Elife"},{"key":"20784_CR51","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1038\/s41537-023-00338-z","volume":"9","author":"Q Li","year":"2023","unstructured":"Li, Q. et al. Resting-state brain functional alterations and their genetic mechanisms in drug-naive first-episode psychosis. Schizophrenia 9, 13. https:\/\/doi.org\/10.1038\/s41537-023-00338-z (2023).","journal-title":"Schizophrenia"},{"key":"20784_CR52","doi-asserted-by":"publisher","first-page":"522","DOI":"10.1016\/j.jad.2023.01.051","volume":"325","author":"Q Fang","year":"2023","unstructured":"Fang, Q. et al. Transcriptional substrates of brain structural and functional impairments in drug-naive first-episode patients with major depressive disorder. J. Affect. Disord. 325, 522\u2013533. https:\/\/doi.org\/10.1016\/j.jad.2023.01.051 (2023).","journal-title":"J. Affect. Disord."},{"key":"20784_CR53","doi-asserted-by":"publisher","DOI":"10.1002\/mgg3.1388","volume":"8","author":"F Markus","year":"2020","unstructured":"Markus, F. et al. Rare variants in the GABAA receptor subunit \u03b5 identified in patients with a wide spectrum of epileptic phenotypes. Mol. Genet. Genom. Med. 8, e1388. https:\/\/doi.org\/10.1002\/mgg3.1388 (2020).","journal-title":"Mol. Genet. Genom. Med."},{"key":"20784_CR54","doi-asserted-by":"publisher","first-page":"1321090","DOI":"10.3389\/fnmol.2023.1321090","volume":"16","author":"W-H Liu","year":"2024","unstructured":"Liu, W.-H. et al. De novo GABRA1 variants in childhood epilepsies and the molecular subregional effects. Front. Mol. Neurosci. 16, 1321090. https:\/\/doi.org\/10.3389\/fnmol.2023.1321090 (2024).","journal-title":"Front. Mol. Neurosci."},{"key":"20784_CR55","doi-asserted-by":"publisher","first-page":"1010101","DOI":"10.3389\/fnmol.2022.1010101","volume":"15","author":"S Wang","year":"2022","unstructured":"Wang, S. et al. A novel BCL11A polymorphism influences gene expression, therapeutic response and epilepsy risk: A multicenter study. Front. Mol. Neurosci. 15, 1010101. https:\/\/doi.org\/10.3389\/fnmol.2022.1010101 (2022).","journal-title":"Front. Mol. Neurosci."},{"key":"20784_CR56","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1002\/dneu.22541","volume":"78","author":"EM Gibson","year":"2017","unstructured":"Gibson, E. M., Geraghty, A. C. & Monje, M. Bad wrap: Myelin and myelin plasticity in health and disease. Dev. Neurobiol. 78, 123\u2013135. https:\/\/doi.org\/10.1002\/dneu.22541 (2017).","journal-title":"Dev. Neurobiol."},{"key":"20784_CR57","doi-asserted-by":"publisher","first-page":"e2639","DOI":"10.1212\/wnl.0000000000011999","volume":"96","author":"DF Leitner","year":"2021","unstructured":"Leitner, D. F. et al. Proteomics and transcriptomics of the hippocampus and cortex in SUDEP and high-risk SUDEP patients. Neurology 96, e2639\u2013e2652. https:\/\/doi.org\/10.1212\/wnl.0000000000011999 (2021).","journal-title":"Neurology"}],"container-title":["Scientific Reports"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-20784-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-20784-2","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-20784-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T09:52:05Z","timestamp":1761126725000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s41598-025-20784-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,22]]},"references-count":57,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["20784"],"URL":"https:\/\/doi.org\/10.1038\/s41598-025-20784-2","relation":{},"ISSN":["2045-2322"],"issn-type":[{"value":"2045-2322","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,22]]},"assertion":[{"value":"6 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 September 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 October 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"This study was approved by the Ethics Committee of the Affiliated Hospital of Zunyi Medical University.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics declarations"}}],"article-number":"36877"}}