{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T04:27:07Z","timestamp":1788236827197,"version":"build-2803163510"},"reference-count":50,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52320105008"],"award-info":[{"award-number":["52320105008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100017964","name":"Tianjin Municipal Health Commission","doi-asserted-by":"publisher","award":["TJWJ2024QN062"],"award-info":[{"award-number":["TJWJ2024QN062"]}],"id":[{"id":"10.13039\/100017964","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Hebei Provincial Natural Science Foundation","doi-asserted-by":"publisher","award":["F2024202085"],"award-info":[{"award-number":["F2024202085"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC2402200"],"award-info":[{"award-number":["2022YFC2402200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019065","name":"Tianjin Municipal Science and Technology Program","doi-asserted-by":"publisher","award":["TJWJ2022MS032"],"award-info":[{"award-number":["TJWJ2022MS032"]}],"id":[{"id":"10.13039\/501100019065","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People&apos;s Republic of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Brain Research"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.brainres.2026.150323","type":"journal-article","created":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T06:04:11Z","timestamp":1776233051000},"page":"150323","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Differential modulation of EEG microstate spatiotemporal dynamics by rTMS and iTBS correlates with clinical improvement in Alzheimer\u2019s disease"],"prefix":"10.1016","volume":"1884","author":[{"given":"Guizhi","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiaojiao","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuai","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Ji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pan","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7398-9644","authenticated-orcid":false,"given":"Miaomiao","family":"Guo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.brainres.2026.150323_b0005","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/s00415-011-6128-4","article-title":"Effects of low versus high frequencies of repetitive transcranial magnetic stimulation on cognitive function and cortical excitability in Alzheimer\u2019s dementia","volume":"259","author":"Ahmed","year":"2012","journal-title":"J. Neurol."},{"key":"10.1016\/j.brainres.2026.150323_b0010","doi-asserted-by":"crossref","first-page":"1176","DOI":"10.1016\/j.nicl.2018.10.015","article-title":"Selective modulation of brain network dynamics by seizure therapy in treatment-resistant depression","volume":"20","author":"Atluri","year":"2018","journal-title":"NeuroImage: Clinical"},{"key":"10.1016\/j.brainres.2026.150323_b0015","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.neurobiolaging.2019.09.008","article-title":"What electrophysiology tells us about Alzheimer\u2019s disease: a window into the synchronization and connectivity of brain neurons","volume":"85","author":"Babiloni","year":"2020","journal-title":"Neurobiol. Aging"},{"issue":"4","key":"10.1016\/j.brainres.2026.150323_b0020","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1016\/j.neuroimage.2010.02.052","article-title":"BOLD correlates of EEG topography reveal rapid resting-state network dynamics","volume":"52","author":"Britz","year":"2010","journal-title":"Neuroimage"},{"key":"10.1016\/j.brainres.2026.150323_b0025","doi-asserted-by":"crossref","DOI":"10.1016\/j.redox.2022.102354","article-title":"High frequency repetitive transcranial magnetic stimulation alleviates cognitive deficits in 3xTg-AD mice by modulating the PI3K\/Akt\/GLT-1 axis","volume":"54","author":"Cao","year":"2022","journal-title":"Redox Biol."},{"issue":"21","key":"10.1016\/j.brainres.2026.150323_b0030","doi-asserted-by":"crossref","DOI":"10.1073\/pnas.2113778119","article-title":"Diffusion MRI-guided theta burst stimulation enhances memory and functional connectivity along the inferior longitudinal fasciculus in mild cognitive impairment","volume":"119","author":"Chen","year":"2022","journal-title":"PNAS"},{"key":"10.1016\/j.brainres.2026.150323_b0035","doi-asserted-by":"crossref","first-page":"548","DOI":"10.3389\/fpsyt.2019.00548","article-title":"EEG resting-state large-scale brain network dynamics are related to depressive symptoms","volume":"10","author":"Damborsk\u00e1","year":"2019","journal-title":"Front. Psych."},{"issue":"1","key":"10.1016\/j.brainres.2026.150323_b0040","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: an open source toolbox for analysis of single trial EEG dynamics including independent component analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"issue":"5","key":"10.1016\/j.brainres.2026.150323_b0045","doi-asserted-by":"crossref","first-page":"2150","DOI":"10.1152\/jn.00781.2010","article-title":"Modulation of motor cortex neuronal networks by rTMS: comparison of local and remote effects of six different protocols of stimulation","volume":"105","author":"Di Lazzaro","year":"2011","journal-title":"J. Neurophysiol."},{"issue":"4\u20135","key":"10.1016\/j.brainres.2026.150323_b0050","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/BF01277666","article-title":"EEG-microstates in mild memory impairment and Alzheimer\u2019s disease: possible association with disturbed information processing","volume":"104","author":"Dierks","year":"1997","journal-title":"Neural Trans."},{"issue":"9503","key":"10.1016\/j.brainres.2026.150323_b0055","doi-asserted-by":"crossref","first-page":"2112","DOI":"10.1016\/S0140-6736(05)67889-0","article-title":"Global prevalence of dementia: a delphi consensus study","volume":"366","author":"Ferri","year":"2005","journal-title":"Lancet"},{"issue":"21","key":"10.1016\/j.brainres.2026.150323_b0060","doi-asserted-by":"crossref","first-page":"4715","DOI":"10.1093\/cercor\/bhab512","article-title":"A direct test of competitive versus cooperative episodic-procedural network dynamics in human memory","volume":"32","author":"Freedberg","year":"2022","journal-title":"Cereb. Cortex"},{"issue":"2","key":"10.1016\/j.brainres.2026.150323_b0065","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1016\/j.brs.2022.01.007","article-title":"Large-scale EEG neural network changes in response to therapeutic TMS","volume":"15","author":"Gold","year":"2022","journal-title":"Brain Stimul."},{"issue":"2","key":"10.1016\/j.brainres.2026.150323_b0070","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.neuron.2004.12.033","article-title":"Theta burst stimulation of the human motor cortex","volume":"45","author":"Huang","year":"2005","journal-title":"Neuron"},{"issue":"4","key":"10.1016\/j.brainres.2026.150323_b0075","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.jalz.2018.02.018","article-title":"NIA-AA research framework: toward a biological definition of Alzheimer\u2019s disease","volume":"14","author":"Jack","year":"2018","journal-title":"Alzheimers Dement."},{"key":"10.1016\/j.brainres.2026.150323_b0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2023.120371","article-title":"Towards a dynamical understanding of microstate analysis of M\/EEG data","volume":"281","author":"Jajcay","year":"2023","journal-title":"Neuroimage"},{"key":"10.1016\/j.brainres.2026.150323_b0085","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.neuroimage.2017.01.035","article-title":"Dynamic aftereffects in supplementary motor network following inhibitory transcranial magnetic stimulation protocols","volume":"149","author":"Ji","year":"2017","journal-title":"Neuroimage"},{"issue":"12","key":"10.1016\/j.brainres.2026.150323_b0090","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0114163","article-title":"Reliability of resting-state microstate features in electroencephalography","volume":"9","author":"Khanna","year":"2014","journal-title":"PLoS One"},{"issue":"3","key":"10.1016\/j.brainres.2026.150323_b0095","doi-asserted-by":"crossref","first-page":"399","DOI":"10.2967\/jnumed.114.149302","article-title":"Prefrontal hypometabolism in Alzheimer disease is related to longitudinal amyloid accumulation in remote brain regions","volume":"56","author":"Klupp","year":"2015","journal-title":"J. Nucl. Med."},{"key":"10.1016\/j.brainres.2026.150323_b0100","article-title":"Degradation of EEG microstates patterns in subjective cognitive decline and mild cognitive impairment: early biomarkers along the Alzheimer\u2019s Disease continuum?","volume":"38","author":"Lassi","year":"2023","journal-title":"NeuroImage: Clinical"},{"key":"10.1016\/j.brainres.2026.150323_b0105","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1016\/B978-0-444-64032-1.00037-0","article-title":"Transcranial magnetic stimulation","volume":"160","author":"Lefaucheur","year":"2019","journal-title":"Handb. Clin. Neurol."},{"key":"10.1016\/j.brainres.2026.150323_b0110","article-title":"RECOR: a toolbox to estimate the power of EEG rhythms in the eight large-scale brain networks","author":"Lei","year":"2011","journal-title":"Sleep Neuroimag. Center"},{"issue":"7","key":"10.1016\/j.brainres.2026.150323_b0115","doi-asserted-by":"crossref","first-page":"1141","DOI":"10.1002\/hbm.21098","article-title":"fMRI functional networks for EEG source imaging","volume":"32","author":"Lei","year":"2011","journal-title":"Hum. Brain Mapp."},{"issue":"3","key":"10.1016\/j.brainres.2026.150323_b0120","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.brs.2021.01.012","article-title":"Cortical plasticity is correlated with cognitive improvement in Alzheimer\u2019s disease patients after rTMS treatment","volume":"14","author":"Li","year":"2021","journal-title":"Brain Stimulat."},{"issue":"2","key":"10.1016\/j.brainres.2026.150323_b0125","doi-asserted-by":"crossref","DOI":"10.1093\/cercor\/bhae043","article-title":"Functional connectivity key feature analysis of cognitive impairment patients based on microstate brain network","volume":"34","author":"Li","year":"2024","journal-title":"Cereb. Cortex"},{"issue":"11","key":"10.1016\/j.brainres.2026.150323_b0130","doi-asserted-by":"crossref","first-page":"2861","DOI":"10.1016\/j.clinph.2021.08.015","article-title":"Altered EEG microstate dynamics in mild cognitive impairment and Alzheimer\u2019s disease","volume":"132","author":"Lian","year":"2021","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.brainres.2026.150323_b0135","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.jns.2019.01.038","article-title":"The role of repetitive transcranial magnetic stimulation (rTMS) in the treatment of cognitive impairment in patients with Alzheimer\u2019s disease: a systematic review and meta-analysis","volume":"398","author":"Lin","year":"2019","journal-title":"J. Neurol. Sci."},{"issue":"1","key":"10.1016\/j.brainres.2026.150323_b0140","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1186\/s40478-021-01198-3","article-title":"Repetitive transcranial magnetic stimulation increases the brain\u2019s drainage efficiency in a mouse model of Alzheimer\u2019s disease","volume":"9","author":"Lin","year":"2021","journal-title":"Acta Neuropathol. Commun."},{"key":"10.1016\/j.brainres.2026.150323_b0145","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.ijpsycho.2023.02.002","article-title":"The EEG microstate representation of discrete emotions","volume":"186","author":"Liu","year":"2023","journal-title":"Int. J. Psychophysiol."},{"key":"10.1016\/j.brainres.2026.150323_b0150","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.seizure.2021.03.020","article-title":"Altered peri-seizure EEG microstate dynamics in patients with absence epilepsy","volume":"88","author":"Liu","year":"2021","journal-title":"Seizure-european Journal of Epilepsy"},{"key":"10.1016\/j.brainres.2026.150323_b0155","doi-asserted-by":"crossref","first-page":"235","DOI":"10.3389\/fnagi.2019.00235","article-title":"High frequency repetitive transcranial magnetic stimulation alleviates cognitive impairment and modulates hippocampal synaptic structural plasticity in aged mice","volume":"11","author":"Ma","year":"2019","journal-title":"Front. Aging Neurosci."},{"issue":"10","key":"10.1016\/j.brainres.2026.150323_b0160","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.tics.2011.08.003","article-title":"Large-scale brain networks and psychopathology: a unifying triple network model","volume":"15","author":"Menon","year":"2011","journal-title":"Trends Cogn. Sci."},{"key":"10.1016\/j.brainres.2026.150323_b0165","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/j.neuroimage.2017.11.062","article-title":"EEG microstates as a tool for studying the temporal dynamics of whole-brain neuronal networks: a review","volume":"180","author":"Michel","year":"2018","journal-title":"Neuroimage"},{"issue":"4","key":"10.1016\/j.brainres.2026.150323_b0170","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10548-008-0054-5","article-title":"Topographic ERP analyses: a step-by-step tutorial review","volume":"20","author":"Murray","year":"2008","journal-title":"Brain Topogr."},{"key":"10.1016\/j.brainres.2026.150323_b0175","doi-asserted-by":"crossref","first-page":"563","DOI":"10.3389\/fnins.2019.00563","article-title":"Microstates as Disease and Progression Markers in Patients With Mild Cognitive Impairment","volume":"13","author":"Musaeus","year":"2019","journal-title":"Front. Neurosci."},{"issue":"3","key":"10.1016\/j.brainres.2026.150323_b0180","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.revmed.2016.06.005","article-title":"Repetitive transcranial magnetic stimulation: a potential therapy for cognitive disorders?","volume":"38","author":"Nouhaud","year":"2017","journal-title":"Rev. Med. Interne"},{"key":"10.1016\/j.brainres.2026.150323_b0185","first-page":"1805","article-title":"Newton method for the ICA mixture model","author":"Palmer","year":"2008","journal-title":"IEEE Int. Conf. Acoustics Speech Sig. Process."},{"issue":"7","key":"10.1016\/j.brainres.2026.150323_b0190","doi-asserted-by":"crossref","first-page":"658","DOI":"10.1109\/10.391164","article-title":"Segmentation of brain electrical activity into microstates: model estimation and validation","volume":"42","author":"Pascual-Marqui","year":"1995","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"10.1016\/j.brainres.2026.150323_b0195","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/0013-4694(87)90141-6","article-title":"Mapping of scalp potentials by surface spline interpolation","volume":"66","author":"Perrin","year":"1987","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"10.1016\/j.brainres.2026.150323_b0200","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.neuroimage.2019.05.026","article-title":"ICLabel: An automated electroencephalographic independent component classifier, dataset, and website","volume":"198","author":"Pion-Tonachini","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.brainres.2026.150323_b0205","doi-asserted-by":"crossref","unstructured":"Poulsen AT, Pedroni A, Langer N, et al. Microstate EEGlab toolbox: an introductory guide. 2018: 289850. (bioRxiv preprint: https:\/\/doi.org\/10.1101\/289850).","DOI":"10.1101\/289850"},{"issue":"10284","key":"10.1016\/j.brainres.2026.150323_b0210","doi-asserted-by":"crossref","first-page":"1577","DOI":"10.1016\/S0140-6736(20)32205-4","article-title":"Alzheimer\u2019s disease","volume":"397","author":"Scheltens","year":"2021","journal-title":"Lancet"},{"key":"10.1016\/j.brainres.2026.150323_b0215","article-title":"EEG time signature in Alzheimer\u2019s disease: functional brain networks falling apart","volume":"24","author":"Smailovic","year":"2019","journal-title":"NeuroImage: Clinical"},{"key":"10.1016\/j.brainres.2026.150323_b0220","doi-asserted-by":"crossref","DOI":"10.3389\/fnagi.2023.1161678","article-title":"Intermittent theta burst stimulation attenuates oxidative stress and reactive astrogliosis in the streptozotocin-induced model of Alzheimer\u2019s disease-like pathology","volume":"15","author":"Stanojevic","year":"2023","journal-title":"Front. Aging Neurosci."},{"issue":"3","key":"10.1016\/j.brainres.2026.150323_b0225","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1016\/j.brs.2016.01.006","article-title":"Ten years of theta burst stimulation in humans: established knowledge, unknowns and prospects","volume":"9","author":"Suppa","year":"2016","journal-title":"Brain Stimul."},{"key":"10.1016\/j.brainres.2026.150323_b0230","article-title":"Simultaneous assessment of electroencephalography microstates and resting state intrinsic networks in alzheimer\u2019s disease and healthy aging","volume":"12","author":"Teilei","year":"2021","journal-title":"Front. Neurol."},{"issue":"3\u20134","key":"10.1016\/j.brainres.2026.150323_b0235","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/s00221-009-1961-8","article-title":"Theta burst and conventional low-frequency rTMS differentially affect GABAergic neurotransmission in the rat cortex","volume":"199","author":"Trippe","year":"2009","journal-title":"Exp. Brain Res."},{"issue":"1","key":"10.1016\/j.brainres.2026.150323_b0240","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s11357-021-00508-w","article-title":"Neuronavigated magnetic stimulation combined with cognitive training for Alzheimer\u2019s patients: an EEG graph study","volume":"44","author":"Vecchio","year":"2022","journal-title":"GeroScience"},{"issue":"5","key":"10.1016\/j.brainres.2026.150323_b0245","doi-asserted-by":"crossref","first-page":"4779","DOI":"10.1007\/s11357-024-01181-5","article-title":"Abnormal EEG microstates in Alzheimer's disease: predictors of \u03b2-amyloid deposition degree and disease classification","volume":"46","author":"Yan","year":"2024","journal-title":"Geroscience"},{"key":"10.1016\/j.brainres.2026.150323_b0250","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.neures.2021.05.015","article-title":"Immediate and cumulative effects of high-frequency repetitive transcranial magnetic stimulation on cognition and neuronal excitability in mice","volume":"173","author":"Zhu","year":"2021","journal-title":"Neurosci. Res."}],"container-title":["Brain Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006899326001824?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006899326001824?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T00:35:23Z","timestamp":1778718923000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0006899326001824"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":50,"alternative-id":["S0006899326001824"],"URL":"https:\/\/doi.org\/10.1016\/j.brainres.2026.150323","relation":{},"ISSN":["0006-8993"],"issn-type":[{"value":"0006-8993","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Differential modulation of EEG microstate spatiotemporal dynamics by rTMS and iTBS correlates with clinical improvement in Alzheimer\u2019s disease","name":"articletitle","label":"Article Title"},{"value":"Brain Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.brainres.2026.150323","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"150323"}}