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There is a significant correlation between EEG microstate and the neurophysiological basis of mental illness, brain state, and cognitive function. Given that the unclear relationship between network dynamics and different microstates, this paper utilized microstate, brain network, and control theories to understand the microstate characteristics of short-term memory task, aiming to mechanistically explain the most influential microstates and brain regions driving the abnormal changes in brain state transitions in patients with schizophrenia. Methods. We identified each microstate and analyzed the microstate abnormalities in schizophrenia patients during short-term memory tasks. Subsequently, the network dynamics underlying the primary microstates were studied to reveal the relationships between network dynamics and microstates. Finally, using control theory, we confirmed that the abnormal changes in brain state transitions in schizophrenia patients are driven by specific microstates and brain regions. Results. The frontal-occipital lobes activity of microstate D decreased significantly, but the left frontal lobe of microstate B increased significantly in schizophrenia, when the brain was moving toward the easy-to-reach states. However, the frontal-occipital lobes activity of microstate D decreased significantly in schizophrenia, when the brain was moving toward the hard-to-reach states. Microstate D showed that the right-frontal activity had a higher priority than the left-frontal, but microstate B showed that the left-frontal priority decreased significantly in schizophrenia, when changes occur in the synchronization state of the brain. Conclusions. In conclusion, microstate D may be a biomarker candidate of brain abnormal activity during the states transitions in schizophrenia, and microstate B may represent a compensatory mechanism that maintains brain function and exchanges information with other brain regions. Microstate and brain network provide complementary perspectives on the neurodynamics, offering potential insights into brain function in health and disease.<\/jats:p>","DOI":"10.3390\/brainsci14100985","type":"journal-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T08:09:52Z","timestamp":1727683792000},"page":"985","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Microstate D as a Biomarker in Schizophrenia: Insights from Brain State Transitions"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-7813-9458","authenticated-orcid":false,"given":"Rong","family":"Yao","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meirong","family":"Song","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Langhua","family":"Shi","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Pei","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haifang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuping","family":"Tan","sequence":"additional","affiliation":[{"name":"Psychiatry Research Center, Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7771-5360","authenticated-orcid":false,"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology, Taiyuan 030024, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,9,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"104042","DOI":"10.1016\/j.ajp.2024.104042","article-title":"Subregional Thalamic Functional Connectivity Abnormalities and Cognitive Impairments in First-Episode Schizophrenia","volume":"96","author":"Wang","year":"2024","journal-title":"Asian J. Psychiatry"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"975","DOI":"10.1001\/archpsyc.62.9.975","article-title":"Association Between Duration of Untreated Psychosis and Outcome in Cohorts of First-Episode Patients: A Systematic Review","volume":"62","author":"Marshall","year":"2005","journal-title":"Arch. Gen. Psychiatry"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.ajp.2019.01.006","article-title":"Detecting Cognitive Impairment in Patients with Schizophrenia with the Addenbrooke\u2019s Cognitive Examination","volume":"40","author":"Charernboon","year":"2019","journal-title":"Asian J. Psychiatry"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3152","DOI":"10.1002\/hbm.24066","article-title":"Relations between Structural and EEG-Based Graph Metrics in Healthy Controls and Schizophrenia Patients","volume":"39","author":"Lubeiro","year":"2018","journal-title":"Hum. Brain Mapp."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"146979","DOI":"10.1016\/j.brainres.2020.146979","article-title":"Dynamic Changes of Brain Networks during Feedback-Related Processing of Reinforcement Learning in Schizophrenia","volume":"1746","author":"Zhao","year":"2020","journal-title":"Brain Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1294","DOI":"10.1007\/s11682-021-00592-8","article-title":"Alterations of Dynamic Functional Connectivity between Visual and Executive-Control Networks in Schizophrenia","volume":"16","author":"Yang","year":"2022","journal-title":"Brain Imaging Behav."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"nwaa125","DOI":"10.1093\/nsr\/nwaa125","article-title":"Spatial Multi-Scaled Chimera States of Cerebral Cortex Network and Its Inherent Structure-Dynamics Relationship in Human Brain","volume":"8","author":"Huo","year":"2021","journal-title":"Natl. Sci. Rev."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"112938","DOI":"10.1016\/j.psychres.2020.112938","article-title":"Multivariate Patterns of EEG Microstate Parameters and Their Role in the Discrimination of Patients with Schizophrenia from Healthy Controls","volume":"288","author":"Baradits","year":"2020","journal-title":"Psychiatry Res."},{"key":"ref_9","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"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s10548-023-00982-9","article-title":"On the Reliability of the EEG Microstate Approach","volume":"37","author":"Kleinert","year":"2024","journal-title":"Brain Topogr."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3089","DOI":"10.1038\/s41467-020-16914-1","article-title":"EEG Microstates Are a Candidate Endophenotype for Schizophrenia","volume":"11","author":"Favrod","year":"2020","journal-title":"Nat. Commun."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.neuroimage.2016.10.002","article-title":"Cognitive Manipulation of Brain Electric Microstates","volume":"146","author":"Seitzman","year":"2017","journal-title":"NeuroImage"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Sun, Q., Zhao, L., and Tan, L. (2022). Abnormalities of Electroencephalography Microstates in Drug-Na\u00efve, First-Episode Schizophrenia. Front. Psychiatry, 13.","DOI":"10.3389\/fpsyt.2022.853602"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1128","DOI":"10.1016\/S0006-3223(98)00318-7","article-title":"Schizophrenic Subjects Activate Dorsolateral Prefrontal Cortex during a Working Memory Task, as Measured by fMRI","volume":"45","author":"Manoach","year":"1999","journal-title":"Biol. Psychiatry"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Yao, R., Xue, J., Li, H., Wang, Q., Deng, H., and Tan, S. (2022). Dynamics and Synchronization Control in Schizophrenia for EEG Signals. Biomed. Signal Process. Control, 71.","DOI":"10.1016\/j.bspc.2021.103118"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1016\/j.clinph.2005.08.033","article-title":"Principal Components Analysis of Laplacian Waveforms as a Generic Method for Identifying ERP Generator Patterns: II. Adequacy of Low-Density Estimates","volume":"117","author":"Kayser","year":"2006","journal-title":"Clin. Neurophysiol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1038\/s41537-023-00419-z","article-title":"Pharmaco-EEG of Antipsychotic Treatment Response: A Systematic Review","volume":"9","author":"Rochas","year":"2023","journal-title":"Schizophrenia"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ijpsycho.2020.06.002","article-title":"Altered Gamma and Theta Oscillations during Multistable Perception in Schizophrenia","volume":"155","author":"Mathes","year":"2020","journal-title":"Int. J. Psychophysiol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"3816","DOI":"10.1093\/cercor\/bhac309","article-title":"The EEG Multiverse of Schizophrenia","volume":"33","author":"Gordillo","year":"2023","journal-title":"Cereb. Cortex"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.schres.2021.03.007","article-title":"Abnormal Phase Discontinuity of Alpha- and Theta-Frequency Oscillations in Schizophrenia","volume":"231","author":"Koshiyama","year":"2021","journal-title":"Schizophr. Res."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.neuroscience.2020.11.007","article-title":"Dynamic Changes of Brain Networks during Working Memory Tasks in Schizophrenia","volume":"453","author":"Yao","year":"2021","journal-title":"Neuroscience"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Britz, J., D\u00edaz Hern\u00e0ndez, L., Ro, T., and Michel, C.M. (2014). EEG-Microstate Dependent Emergence of Perceptual Awareness. Front. Behav. Neurosci., 8.","DOI":"10.3389\/fnbeh.2014.00163"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1016\/j.neuroscience.2015.07.078","article-title":"Differential Recruitment of Brain Networks during Visuospatial and Color Processing: Evidence from ERP Microstates","volume":"305","author":"Antonova","year":"2015","journal-title":"Neuroscience"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"9270685","DOI":"10.1155\/2018\/9270685","article-title":"Calculation and Analysis of Microstate Related to Variation in Executed and Imagined Movement of Force of Hand Clenching","volume":"2018","author":"Fu","year":"2018","journal-title":"Comput. Intell. Neurosci."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Khanna, A., Pascual-Leone, A., and Farzan, F. (2014). Reliability of Resting-State Microstate Features in Electroencephalography. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0114163"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"848","DOI":"10.1007\/s10548-018-0643-x","article-title":"Consciousness Indexing and Outcome Prediction with Resting-State EEG in Severe Disorders of Consciousness","volume":"31","author":"Stefan","year":"2018","journal-title":"Brain Topogr."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1109\/TCDS.2020.3001642","article-title":"Functional Integration and Separation of Brain Network Based on Phase Locking Value During Emotion Processing","volume":"15","author":"Wang","year":"2023","journal-title":"IEEE Trans. Cogn. Dev. Syst."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"8414","DOI":"10.1038\/ncomms9414","article-title":"Controllability of Structural Brain Networks","volume":"6","author":"Gu","year":"2015","journal-title":"Nat. Commun."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1109\/TBME.2018.2850959","article-title":"Detecting Abnormal Pattern of Epileptic Seizures via Temporal Synchronization of EEG Signals","volume":"66","author":"Fan","year":"2019","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_30","first-page":"18001","article-title":"Partial Synchronization Patterns in Brain Networks","volume":"136","year":"2022","journal-title":"EPL"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Yordanova, J., Falkenstein, M., and Kolev, V. (2024). Motor Oscillations Reveal New Correlates of Error Processing in the Human Brain. Sci. Rep., 14.","DOI":"10.1038\/s41598-024-56223-x"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"093128","DOI":"10.1063\/5.0163899","article-title":"Finding Influential Nodes in Networks Using Pinning Control: Centrality Measures Confirmed with Electrochemical Oscillators","volume":"33","author":"Bomela","year":"2023","journal-title":"Chaos Interdiscip. J. Nonlinear Sci."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Keihani, A., Sajadi, S.S., Hasani, M., and Ferrarelli, F. (2022). Bayesian Optimization of Machine Learning Classification of Resting-State EEG Microstates in Schizophrenia: A Proof-of-Concept Preliminary Study Based on Secondary Analysis. Brain Sci., 12.","DOI":"10.3390\/brainsci12111497"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"e53060","DOI":"10.7554\/eLife.53060","article-title":"Optimization of Energy State Transition Trajectory Supports the Development of Executive Function during Youth","volume":"9","author":"Cui","year":"2020","journal-title":"eLife"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1750032","DOI":"10.1142\/S0129065717500320","article-title":"Quantification of Graph Complexity Based on the Edge Weight Distribution Balance: Application to Brain Networks","volume":"28","author":"Poza","year":"2018","journal-title":"Int. J. Neural Syst."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.schres.2018.04.043","article-title":"Altered Predictive Capability of the Brain Network EEG Model in Schizophrenia during Cognition","volume":"201","author":"Poza","year":"2018","journal-title":"Schizophr. Res."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1093\/schbul\/sbac187","article-title":"Dysconnectivity in Schizophrenia Revisited: Abnormal Temporal Organization of Dynamic Functional Connectivity in Patients With a First Episode of Psychosis","volume":"49","author":"Tepper","year":"2023","journal-title":"Schizophr. Bull."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"110848","DOI":"10.1016\/j.brainresbull.2023.110848","article-title":"Multi Feature Fusion Network for Schizophrenia Classification and Abnormal Brain Network Recognition","volume":"206","author":"Wang","year":"2024","journal-title":"Brain Res. Bull."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"e2535","DOI":"10.1002\/brb3.2535","article-title":"Abnormal Functional Connectivity of the Striatum in First-Episode Drug-Naive Early-Onset Schizophrenia","volume":"12","author":"Zhang","year":"2022","journal-title":"Brain Behav."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1748","DOI":"10.1111\/ejn.15970","article-title":"Integration\u2013Segregation Dynamics in Functional Networks of Individuals Diagnosed with Schizophrenia","volume":"57","author":"Soriano","year":"2023","journal-title":"Eur. J. Neurosci."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Wang, Y., Hu, X., and Li, Y. (2022). Investigating Cognitive Flexibility Deficit in Schizophrenia Using Task-Based Whole-Brain Functional Connectivity. Front. Psychiatry, 13.","DOI":"10.3389\/fpsyt.2022.1069036"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Gudi-Mindermann, H., Rimmele, J.M., Bruns, P., Kloosterman, N.A., Donner, T.H., Engel, A.K., and R\u00f6der, B. (2020). Post-Training Load-Related Changes of Auditory Working Memory\u2014An EEG Study. Front. Hum. Neurosci., 14.","DOI":"10.3389\/fnhum.2020.00072"},{"key":"ref_43","first-page":"16","article-title":"Graph-Based Network Analysis of Resting-State Functional MRI","volume":"4","author":"Wang","year":"2010","journal-title":"Front. Syst. Neurosci."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1093\/schbul\/sbac177","article-title":"Controllability of Functional Brain Networks and Its Clinical Significance in First-Episode Schizophrenia","volume":"49","author":"Li","year":"2023","journal-title":"Schizophr. Bull."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Chen, G., Ding, W., Zhang, L., Cui, H., Jiang, Z., and Li, Y. (2017). Neurophysiological Evidence of Compensatory Brain Mechanisms Underlying Attentional-Related Processes in Symptomatically Remitted Patients with Schizophrenia. Front. Psychol., 8.","DOI":"10.3389\/fpsyg.2017.00550"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3909","DOI":"10.1002\/hbm.25892","article-title":"Alterations in White Matter Network Dynamics in Patients with Schizophrenia and Bipolar Disorder","volume":"43","author":"Wang","year":"2022","journal-title":"Hum. Brain Mapp."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1056","DOI":"10.1093\/schbul\/sbw012","article-title":"Disconnection Between Amygdala and Medial Prefrontal Cortex in Psychotic Disorders","volume":"42","author":"Mukherjee","year":"2016","journal-title":"Schizophr. Bull."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1093\/schbul\/sbw036","article-title":"Reduced Frontoparietal Activity in Schizophrenia Is Linked to a Specific Deficit in Goal Maintenance: A Multisite Functional Imaging Study","volume":"42","author":"Poppe","year":"2016","journal-title":"Schizophr. Bull."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2198","DOI":"10.1038\/s41386-020-00806-5","article-title":"A Distributed Frontotemporal Network Underlies Gamma-Band Synchronization Impairments in Schizophrenia Patients","volume":"45","author":"Koshiyama","year":"2020","journal-title":"Neuropsychopharmacology"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"113866","DOI":"10.1016\/j.psychres.2021.113866","article-title":"The Effects of Repetitive Transcranial Magnetic Stimulation in Patients with Chronic Schizophrenia: Insights from EEG Microstates","volume":"299","author":"Pan","year":"2021","journal-title":"Psychiatry Res."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"119669","DOI":"10.1016\/j.neuroimage.2022.119669","article-title":"Event-Related Microstate Dynamics Represents Working Memory Performance","volume":"263","author":"Tamano","year":"2022","journal-title":"NeuroImage"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.bbr.2015.04.006","article-title":"Hemispheric Specialization in Affective Responses, Cerebral Dominance for Language, and Handedness: Lateralization of Emotion, Language, and Dexterity","volume":"288","author":"Costanzo","year":"2015","journal-title":"Behav. Brain Res."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Ocklenburg, S., and Gunturkun, O. (2012). Hemispheric Asymmetries: The Comparative View. Front. Psychol., 3.","DOI":"10.3389\/fpsyg.2012.00005"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"100306","DOI":"10.1016\/j.scog.2024.100306","article-title":"Modulation of Hemispheric Asymmetry in Executive Control of Attention in Schizophrenia with Atypical Antipsychotic Treatment: Potential Benefits of Olanzapine","volume":"36","author":"Zhao","year":"2024","journal-title":"Schizophr. Res. Cogn."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"405","DOI":"10.1111\/ejn.15563","article-title":"Modulating verbal working memory with fronto-parietal transcranial electric stimulation at theta frequency: Does it work?","volume":"55","author":"Biel","year":"2022","journal-title":"Eur. J. Neurosci."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1515\/tnsci-2022-0265","article-title":"Fronto-parietal single-trial brain connectivity benefits successful memory recognition","volume":"13","author":"Jun","year":"2022","journal-title":"Transl. Neurosci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"8174","DOI":"10.1073\/pnas.0402680101","article-title":"Dynamic mapping of human cortical development during childhood through early adulthood","volume":"101","author":"Gogtay","year":"2004","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.jpsychires.2020.07.036","article-title":"Lateralized evoked responses in parietal cortex demonstrate visual short-term memory deficits in first-episode schizophrenia","volume":"130","author":"Coffman","year":"2020","journal-title":"J. Psychiatr. Res."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"2829","DOI":"10.1002\/hbm.26248","article-title":"Neural substrates of verbal memory impairment in schizophrenia: A multimodal connectomics study","volume":"44","author":"Tranfa","year":"2023","journal-title":"Hum. Brain Mapp."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Kim, K., Duc, N.T., Choi, M., and Lee, B. (2021). EEG microstate features for schizophrenia classification. PLoS ONE, 16.","DOI":"10.1371\/journal.pone.0251842"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.pscychresns.2004.05.007","article-title":"EEG microstate duration and syntax in acute, medication-na\u00efve, first-episode schizophrenia: A multi-center study","volume":"138","author":"Lehmann","year":"2005","journal-title":"Psychiatry Res. Neuroimaging"}],"container-title":["Brain Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2076-3425\/14\/10\/985\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:05:44Z","timestamp":1760112344000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2076-3425\/14\/10\/985"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,28]]},"references-count":61,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["brainsci14100985"],"URL":"https:\/\/doi.org\/10.3390\/brainsci14100985","relation":{},"ISSN":["2076-3425"],"issn-type":[{"value":"2076-3425","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,28]]}}}