{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T08:38:17Z","timestamp":1776933497927,"version":"3.51.2"},"reference-count":73,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2023,10,25]],"date-time":"2023-10-25T00:00:00Z","timestamp":1698192000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100011033","name":"Agencia Estatal de Investigaci\u00f3n, AEI","doi-asserted-by":"publisher","award":["PID2019-105145RB-I00"],"award-info":[{"award-number":["PID2019-105145RB-I00"]}],"id":[{"id":"10.13039\/501100011033","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Schizophrenia (SZ) is a complex disorder characterized by a range of symptoms and behaviors that have significant consequences for individuals, families, and society in general. Electroencephalography (EEG) is a valuable tool for understanding the neural dynamics and functional abnormalities associated with schizophrenia. Research studies utilizing EEG have identified specific patterns of brain activity in individuals diagnosed with schizophrenia that may reflect disturbances in neural synchronization and information processing in cortical circuits. Considering the temporal dynamics of functional connectivity provides a more comprehensive understanding of brain networks\u2019 organization and how they change during different cognitive states. This temporal perspective would enhance our understanding of the underlying mechanisms of schizophrenia. In the present study, we will use measures based on graph theory to obtain dynamic and static indicators in order to evaluate differences in the functional connectivity of individuals diagnosed with SZ and healthy controls using an ecologically valid task. At the static level, patients showed alterations in their ability to segregate information, particularly in the default mode network (DMN). As for dynamic measures, patients showed reduced values in most metrics (segregation, integration, centrality, and resilience), reflecting a reduced number of dynamic states of brain networks. Our results show the utility of combining static and dynamic indicators of functional connectivity from EEG sensors.<\/jats:p>","DOI":"10.3390\/s23218722","type":"journal-article","created":{"date-parts":[[2023,10,26]],"date-time":"2023-10-26T07:22:15Z","timestamp":1698304935000},"page":"8722","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Examining Neural Connectivity in Schizophrenia Using Task-Based EEG: A Graph Theory Approach"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9153-8743","authenticated-orcid":false,"given":"Sergio","family":"Iglesias-Parro","sequence":"first","affiliation":[{"name":"Department of Psychology, University of Ja\u00e9n, 23071 Ja\u00e9n, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda F.","family":"Soriano","sequence":"additional","affiliation":[{"name":"Mental Health Unit, San Agust\u00edn Hospital de Linares, 23700 Linares, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6673-0012","authenticated-orcid":false,"given":"Antonio J.","family":"Ib\u00e1\u00f1ez-Molina","sequence":"additional","affiliation":[{"name":"Department of Psychology, University of Ja\u00e9n, 23071 Ja\u00e9n, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana V.","family":"P\u00e9rez-Matres","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, University of Granada, 18071 Granada, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7579-8350","authenticated-orcid":false,"given":"Juan","family":"Ruiz de Miras","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, University of Granada, 18071 Granada, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1192\/bjp.bp.105.020982","article-title":"Rates and correlates of employment in people with schizophrenia in the UK, France and Germany","volume":"191","author":"Marwaha","year":"2007","journal-title":"Br. J. Psychiatry"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1037\/a0014708","article-title":"Neurocognition in First-Episode Schizophrenia: A Meta-Analytic Review","volume":"23","author":"Giuliano","year":"2009","journal-title":"Neuropsychology"},{"key":"ref_3","first-page":"235","article-title":"An updated review on burden on caregivers of schizophrenia patients","volume":"26","year":"2014","journal-title":"Psicothema"},{"key":"ref_4","first-page":"357","article-title":"Global economic burden of schizophrenia: A systematic review","volume":"12","author":"Chong","year":"2016","journal-title":"Neuropsychiatr. Dis. Treat."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1192\/bjp.184.6.509","article-title":"Non-adherence to antipsychotic medication regimens: Associations with resource use and costs","volume":"184","author":"Knapp","year":"2004","journal-title":"Br. J. Psychiatry"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Oh, S.L., Vicnesh, J., Ciaccio, E.J., Yuvaraj, R., and Acharya, U.R. (2019). Deep Convolutional Neural Network Model for Automated Diagnosis of Schizophrenia Using EEG Signals. Appl. Sci., 9.","DOI":"10.3390\/app9142870"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Ko, D.-W., and Yang, J.-J. (2022). EEG-Based Schizophrenia Diagnosis through Time Series Image Conversion and Deep Learning. Electronics, 11.","DOI":"10.3390\/electronics11142265"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Ruiz de Miras, J., Ib\u00e1\u00f1ez-Molina, A.J., Soriano, M.F., and Iglesias-Parro, S. (2023). Schizophrenia classification using machine learning on resting state EEG signal. Biomed. Signal Process Control, 79.","DOI":"10.1016\/j.bspc.2022.104233"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1016\/j.ijpsycho.2006.07.007","article-title":"Working memory related gamma oscillations in schizophrenia patients","volume":"64","author":"Brand","year":"2007","journal-title":"Int. J. Psychophysiol."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Prieto, M., Iglesias-Parro, S., Soriano, M.F., Ib\u00e1\u00f1ez-Molina, A., Ibanez-Molina, A., and Ib\u00e1\u00f1ez-Molina, A. (2021). Local Oscillatory Brain Dynamics of Mind Wandering in Schizophrenia. Brain Sci., 11.","DOI":"10.3390\/brainsci11070910"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"927","DOI":"10.1093\/schbul\/sbn062","article-title":"The Role of Oscillations and Synchrony in Cortical Networks and Their Putative Relevance for the Pathophysiology of Schizophrenia","volume":"34","author":"Uhlhaas","year":"2008","journal-title":"Schizophr. Bull."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1038\/nrn2774","article-title":"Abnormal neural oscillations and synchrony in schizophrenia","volume":"11","author":"Uhlhaas","year":"2010","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1001\/jamapsychiatry.2013.1976","article-title":"Functional dysconnectivity of corticostriatal circuitry as a risk phenotype for psychosis","volume":"70","author":"Fornito","year":"2013","journal-title":"JAMA Psychiatry"},{"key":"ref_14","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_15","doi-asserted-by":"crossref","first-page":"1092","DOI":"10.1176\/appi.ajp.2012.12010056","article-title":"Thalamocortical dysconnectivity in schizophrenia","volume":"169","author":"Woodward","year":"2012","journal-title":"Am. J. Psychiatry"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Canuet, L., Ishii, R., Pascual-Marqui, R.D., Iwase, M., Kurimoto, R., Aoki, Y., Ikeda, S., Takahashi, H., Nakahachi, T., and Takeda, M. (2011). Resting-state EEG source localization and functional connectivity in schizophrenia-like psychosis of epilepsy. PLoS ONE, 6.","DOI":"10.1371\/journal.pone.0027863"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Ciprian, C., Masychev, K., Ravan, M., Manimaran, A., and Deshmukh, A. (2021). Diagnosing schizophrenia using effective connectivity of resting-state EEG data. Algorithms, 14.","DOI":"10.3390\/a14050139"},{"key":"ref_18","first-page":"234","article-title":"Altered resting-state EEG source functional connectivity in schizophrenia: The effect of illness duration","volume":"9","author":"Daverio","year":"2015","journal-title":"Front. Hum. Neurosci."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"213078","DOI":"10.1109\/ACCESS.2020.3037658","article-title":"Biomarkers for Prediction of Schizophrenia: Insights from Resting-State EEG Microstates","volume":"8","author":"Luo","year":"2020","journal-title":"IEEE Access"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1027\/0269-8803\/a000153","article-title":"A preliminary study of the association among metacognition and resting state EEG in schizophrenia","volume":"30","author":"Vohs","year":"2016","journal-title":"J. Psychophysiol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/S0022-3956(03)00095-5","article-title":"Electrophysiological evidence of corollary discharge dysfunction in schizophrenia during talking and thinking","volume":"38","author":"Ford","year":"2004","journal-title":"J. Psychiatr. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1231","DOI":"10.1016\/j.biopsych.2006.03.055","article-title":"Gamma Band Oscillations Reveal Neural Network Cortical Coherence Dysfunction in Schizophrenia Patients","volume":"60","author":"Light","year":"2006","journal-title":"Biol. Psychiatry"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1146\/annurev-psych-010814-015331","article-title":"The Science of Mind Wandering: Empirically Navigating the Stream of Consciousness","volume":"66","author":"Smallwood","year":"2015","journal-title":"Annu. Rev. Psychol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1037\/0033-2909.132.6.946","article-title":"The restless mind","volume":"132","author":"Smallwood","year":"2006","journal-title":"Psychol. Bull."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1038\/nrn3901","article-title":"The connectomics of brain disorders","volume":"16","author":"Fornito","year":"2015","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"9477","DOI":"10.1523\/JNEUROSCI.0333-10.2010","article-title":"Functional Connectivity and Brain Networks in Schizophrenia","volume":"30","author":"Lynall","year":"2010","journal-title":"J. Neurosci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.1016\/j.neubiorev.2010.11.004","article-title":"Dysconnectivity in schizophrenia: Where are we now?","volume":"35","author":"Allen","year":"2011","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1007\/s11065-014-9248-7","article-title":"Brain networks in schizophrenia","volume":"24","author":"Fornito","year":"2014","journal-title":"Neuropsychol. Rev."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2196","DOI":"10.1016\/j.neuroimage.2011.10.002","article-title":"Altered resting state complexity in schizophrenia","volume":"59","author":"Bassett","year":"2012","journal-title":"Neuroimage"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neuron.2014.10.015","article-title":"The chronnectome: Time-varying connectivity networks as the next frontier in fMRI data discovery","volume":"84","author":"Calhoun","year":"2014","journal-title":"Neuron"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1016\/j.neuron.2012.09.004","article-title":"Neuronal Dynamics and Neuropsychiatric Disorders: Toward a Translational Paradigm for Dysfunctional Large-Scale Networks","volume":"75","author":"Uhlhaas","year":"2012","journal-title":"Neuron"},{"key":"ref_32","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":"ref_33","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1093\/brain\/awn018","article-title":"Disrupted small-world networks in schizophrenia","volume":"131","author":"Liu","year":"2008","journal-title":"Brain"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.schres.2006.06.028","article-title":"Small-world networks and disturbed functional connectivity in schizophrenia","volume":"87","author":"Micheloyannis","year":"2006","journal-title":"Schizophr. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"5868","DOI":"10.1073\/pnas.1111738109","article-title":"Simple models of human brain functional networks","volume":"109","author":"Gogtay","year":"2012","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"4833","DOI":"10.1038\/s41598-020-61843-0","article-title":"Introspective and Neurophysiological Measures of Mind Wandering in Schizophrenia","volume":"10","author":"Soriano","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_37","unstructured":"Pino, O., Guilera, G., Rojo, J.E., G\u00f3mez-Benito, J., and Purdon, S. (2014). SCIP-S, Screening del Deterioro Cognitivo en Psiquiatr\u00eda, Tea Ediciones."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/0165-1781(94)90093-0","article-title":"Psychometric properties of the Positive and Negative Syndrome Scale (PANSS) in schizophrenia","volume":"53","author":"Peralta","year":"1994","journal-title":"Psychiatry Res."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1093\/schbul\/13.2.261","article-title":"The Positive and Negative Syndrome Scale (PANSS) for Schizophrenia","volume":"13","author":"Kay","year":"1987","journal-title":"Schizophr. Bull."},{"key":"ref_40","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"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1162\/neco.1995.7.6.1129","article-title":"An information-maximization approach to blind separation and blind deconvolution","volume":"7","author":"Bell","year":"1995","journal-title":"Neural Comput."},{"key":"ref_42","first-page":"5","article-title":"Standardized low-resolution brain electromagnetic tomography (sLORETA): Technical details","volume":"24","year":"2002","journal-title":"Methods Find Exp. Clin. Pharmacol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"116500","DOI":"10.1016\/j.neuroimage.2019.116500","article-title":"Functional disconnection of associative cortical areas predicts performance during BCI training","volume":"209","author":"Corsi","year":"2020","journal-title":"Neuroimage"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1109\/TMI.2004.837363","article-title":"A common formalism for the integral formulations of the forward EEG problem","volume":"24","author":"Kybic","year":"2005","journal-title":"IEEE Trans. Med. Imaging"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"968","DOI":"10.1016\/j.neuroimage.2006.01.021","article-title":"An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest","volume":"31","author":"Desikan","year":"2006","journal-title":"Neuroimage"},{"key":"ref_46","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":"ref_47","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.neuroimage.2016.11.052","article-title":"Towards a consensus regarding global signal regression for resting state functional connectivity MRI","volume":"154","author":"Murphy","year":"2017","journal-title":"Neuroimage"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1038\/nrn2575","article-title":"Complex brain networks: Graph theoretical analysis of structural and functional systems","volume":"10","author":"Bullmore","year":"2009","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v067.i01","article-title":"Fitting Linear Mixed-Effects Models Using lme4","volume":"67","author":"Bates","year":"2015","journal-title":"J. Stat. Softw."},{"key":"ref_50","first-page":"216","article-title":"Package \u2018emmeans\u2019 R topics documented","volume":"34","author":"Lenth","year":"2018","journal-title":"Am. Stat."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1165","DOI":"10.1214\/aos\/1013699998","article-title":"The control of the false discovery rate under dependency","volume":"29","author":"Benjamini","year":"2001","journal-title":"Ann. Stat."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Iglesias-Parro, S., Soriano, M.F., Ib\u00e1\u00f1ez-Molina, A.J., P\u00e9rez-Matres, A.V., and Ruiz de Miras, J. (2023). Examining Neural Connectivity in Schizophrenia Using Task-Based EEG: A Graph Theory Approach. Detailed Analyses and Figures. OSF.","DOI":"10.3390\/s23218722"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/s12264-016-0090-1","article-title":"A Review of the Functional and Anatomical Default Mode Network in Schizophrenia","volume":"33","author":"Hu","year":"2016","journal-title":"Neurosci. Bull."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.schres.2015.03.021","article-title":"Away from home: The brain of the wandering mind as a model for schizophrenia","volume":"165","author":"Shin","year":"2015","journal-title":"Schizophr. Res."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1093\/schbul\/sbx034","article-title":"Dysfunction of Large-Scale Brain Networks in Schizophrenia: A Meta-analysis of Resting-State Functional Connectivity","volume":"44","author":"Dong","year":"2018","journal-title":"Schizophr. Bull."},{"key":"ref_56","first-page":"147","article-title":"Disrupted Modularity and Local Connectivity of Brain Functional Networks in Childhood-Onset Schizophrenia","volume":"4","author":"Gogtay","year":"2010","journal-title":"Front. Syst. Neurosci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"16014","DOI":"10.1038\/npjschz.2016.14","article-title":"Change in brain network topology as a function of treatment response in schizophrenia: A longitudinal resting-state fMRI study using graph theory","volume":"2","author":"Hadley","year":"2016","journal-title":"NPJ Schizophr."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1093\/schbul\/sby046","article-title":"Shared and Distinct Functional Architectures of Brain Networks Across Psychiatric Disorders","volume":"45","author":"Xia","year":"2019","journal-title":"Schizophr. Bull."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.schres.2013.06.022","article-title":"What are the neurocognitive correlates of basic self-disturbance in schizophrenia?: Integrating phenomenology and neurocognition. Part 2 (Aberrant salience)","volume":"152","author":"Nelson","year":"2014","journal-title":"Schizophr. Res."},{"key":"ref_60","first-page":"67","article-title":"Aberrant Salience Is Related to Dysfunctional Self-Referential Processing in Psychosis","volume":"42","author":"Pankow","year":"2016","journal-title":"Schizophr. Bull."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"323","DOI":"10.3389\/fpsyg.2016.00323","article-title":"Abnormal Ventral and Dorsal Attention Network Activity during Single and Dual Target Detection in Schizophrenia","volume":"7","author":"Jimenez","year":"2016","journal-title":"Front. Psychol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"102348","DOI":"10.1016\/j.nicl.2020.102348","article-title":"Deficits and compensation: Attentional control cortical networks in schizophrenia","volume":"27","author":"Arkin","year":"2020","journal-title":"Neuroimage Clin."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1523\/JNEUROSCI.5587-06.2007","article-title":"Dissociable intrinsic connectivity networks for salience processing and executive control","volume":"27","author":"Seeley","year":"2007","journal-title":"J. Neurosci."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Collin, G., Bauer, C., Anteraper, S.A., Gabrieli, J., Molotokos, E., Gateley, R.M., Thermenos, H., Seidman, L., Keshavan, M., and Shenton, M. (2021). Default Mode Network Hyperactivation During Self-Referential Processing in Children at Familial High-Risk for Psychosis. Biol. Psychiatry, 89.","DOI":"10.1016\/j.biopsych.2021.02.818"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1093\/cercor\/bhs352","article-title":"Tracking Whole-Brain Connectivity Dynamics in the Resting State","volume":"24","author":"Allen","year":"2014","journal-title":"Cereb. Cortex"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.pneurobio.2013.12.005","article-title":"Exploring the network dynamics underlying brain activity during rest","volume":"114","author":"Cabral","year":"2014","journal-title":"Prog. Neurobiol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"2200","DOI":"10.1002\/hbm.24518","article-title":"Dynamic changes of functional segregation and integration in vulnerability and resilience to schizophrenia","volume":"40","author":"Duan","year":"2019","journal-title":"Hum. Brain Mapp."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"7990","DOI":"10.1038\/s41598-017-08565-y","article-title":"Sample entropy reveals an age-related reduction in the complexity of dynamic brain","volume":"7","author":"Jia","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"2790","DOI":"10.1002\/hbm.25404","article-title":"Brain dynamics: Synchronous peaks, functional connectivity, and its temporal variability","volume":"42","author":"Rolls","year":"2021","journal-title":"Hum. Brain Mapp."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1038\/nrn2961","article-title":"Emerging concepts for the dynamical organization of resting-state activity in the brain","volume":"12","author":"Deco","year":"2011","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"5135","DOI":"10.1038\/s41598-017-05425-7","article-title":"Cognitive performance in healthy older adults relates to spontaneous switching between states of functional connectivity during rest","volume":"7","author":"Cabral","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_72","unstructured":"Fornito, A., Zalesky, A., and Bullmore, E.T. (2016). Fundamentals of Brain Network Analysis, Academic Press."},{"key":"ref_73","first-page":"146","article-title":"Relevance of structural brain connectivity to learning and recovery from stroke","volume":"4","author":"Scholz","year":"2010","journal-title":"Front. Syst. Neurosci."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/21\/8722\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:11:52Z","timestamp":1760130712000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/21\/8722"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,25]]},"references-count":73,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2023,11]]}},"alternative-id":["s23218722"],"URL":"https:\/\/doi.org\/10.3390\/s23218722","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,25]]}}}