{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T06:18:34Z","timestamp":1772173114662,"version":"3.50.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1009988","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T00:00:00Z","timestamp":1673222400000}}],"reference-count":70,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T00:00:00Z","timestamp":1672099200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ghent University Research Council","award":["BOF17\/GOA\/004"],"award-info":[{"award-number":["BOF17\/GOA\/004"]}]},{"DOI":"10.13039\/100014013","name":"UKRI","doi-asserted-by":"crossref","award":["ES\/T01279X\/1"],"award-info":[{"award-number":["ES\/T01279X\/1"]}],"id":[{"id":"10.13039\/100014013","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Wellcome Centre for Human Neuroimaging","award":["205103\/Z\/16\/Z"],"award-info":[{"award-number":["205103\/Z\/16\/Z"]}]},{"DOI":"10.13039\/501100003130","name":"Fonds Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","award":["1267422N"],"award-info":[{"award-number":["1267422N"]}],"id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>During resting-state EEG recordings, alpha activity is more prominent over the posterior cortex in eyes-closed (EC) conditions compared to eyes-open (EO). In this study, we characterized the difference in spectra between EO and EC conditions using dynamic causal modelling. Specifically, we investigated the role of intrinsic and extrinsic connectivity\u2014within the visual cortex\u2014in generating EC-EO alpha power differences over posterior electrodes. The primary visual cortex (V1) and the bilateral middle temporal visual areas (V5) were equipped with bidirectional extrinsic connections using a canonical microcircuit. The states of four intrinsically coupled subpopulations\u2014within each occipital source\u2014were also modelled. Using Bayesian model selection, we tested whether modulations of the intrinsic connections in V1, V5 or extrinsic connections (or a combination thereof) provided the best evidence for the data. In addition, using parametric empirical Bayes (PEB), we estimated group averages under the winning model. Bayesian model selection showed that the winning model contained both extrinsic connectivity modulations, as well as intrinsic connectivity modulations in all sources. The PEB analysis revealed increased extrinsic connectivity during EC. Overall, we found a reduction in the inhibitory intrinsic connections during EC. The results suggest that the intrinsic modulations in V5 played the most important role in producing EC-EO alpha differences, suggesting an intrinsic disinhibition in higher order visual cortex, during EC resting state.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1009988","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T13:43:45Z","timestamp":1672148625000},"page":"e1009988","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["Dynamic causal modelling shows a prominent role of local inhibition in alpha power modulation in higher visual cortex"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5715-5992","authenticated-orcid":true,"given":"Frederik","family":"Van de Steen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6865-8103","authenticated-orcid":true,"given":"Dimitris","family":"Pinotsis","sequence":"additional","affiliation":[]},{"given":"Wouter","family":"Devos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0928-2668","authenticated-orcid":true,"given":"Nigel","family":"Colenbier","sequence":"additional","affiliation":[]},{"given":"Iege","family":"Bassez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7984-8909","authenticated-orcid":true,"given":"Karl","family":"Friston","sequence":"additional","affiliation":[]},{"given":"Daniele","family":"Marinazzo","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2022,12,27]]},"reference":[{"key":"pcbi.1009988.ref001","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1016\/j.tics.2012.10.007","article-title":"Alpha-band oscillations, attention, and controlled access to stored information.","volume":"16","author":"W. Klimesch","year":"2012","journal-title":"Trends Cogn Sci"},{"key":"pcbi.1009988.ref002","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1093\/cercor\/12.8.877","article-title":"Oscillations in the alpha band (9\u201312 Hz) increase with memory load during retention in a short-term memory task.","volume":"12","author":"O Jensen","year":"2002","journal-title":"Cereb Cortex"},{"key":"pcbi.1009988.ref003","doi-asserted-by":"crossref","first-page":"1670","DOI":"10.1093\/cercor\/bhy065","article-title":"Working Memory Load Modulates Neuronal Coupling","volume":"29","author":"DA Pinotsis","year":"2019","journal-title":"Cereb Cortex"},{"key":"pcbi.1009988.ref004","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1523\/JNEUROSCI.20-06-j0002.2000","article-title":"Anticipatory biasing of visuospatial attention indexed by retinotopically specific alpha-band electroencephalography increases over occipital cortex","volume":"20","author":"MS Worden","year":"2000","journal-title":"J Neurosci"},{"key":"pcbi.1009988.ref005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.7554\/eLife.60824","article-title":"Neural effects of propofol-induced unconsciousness and its reversal using thalamic stimulation.","volume":"10","author":"AM Bastos","year":"2021","journal-title":"Elife"},{"key":"pcbi.1009988.ref006","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fpsyg.2011.00193","article-title":"Thalamic gap junctions control local neuronal synchrony and influence macroscopic oscillation amplitude during EEG alpha rhythms.","volume":"2","author":"SW Hughes","year":"2011","journal-title":"Front Psychol."},{"key":"pcbi.1009988.ref007","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1016\/j.neuron.2009.08.012","article-title":"Temporal Framing of Thalamic Relay-Mode Firing by Phasic Inhibition during the Alpha Rhythm","volume":"63","author":"ML L\u0151rincz","year":"2009","journal-title":"Neuron"},{"key":"pcbi.1009988.ref008","doi-asserted-by":"crossref","first-page":"23772","DOI":"10.1073\/pnas.1913092116","article-title":"The generation and propagation of the human alpha rhythm","volume":"116","author":"M Halgren","year":"2019","journal-title":"Proc Natl Acad Sci U S A"},{"key":"pcbi.1009988.ref009","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/0013-4694(91)90044-5","article-title":"Neural mechanisms underlying brain waves: from neural membranes to networks","volume":"79","author":"F. Lopes da Silva","year":"1991","journal-title":"Electroencephalogr Clin Neurophysiol"},{"key":"pcbi.1009988.ref010","doi-asserted-by":"crossref","first-page":"117066","DOI":"10.1016\/j.neuroimage.2020.117066","article-title":"Thalamocortical inhibitory dynamics support conscious perception.","volume":"220","author":"BK Min","year":"2020","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref011","doi-asserted-by":"crossref","first-page":"2270","DOI":"10.1002\/hbm.21358","article-title":"Event-related potential activity in the basal ganglia differentiates rewards from nonrewards: Temporospatial principal components analysis and source localization of the feedback negativity: Commentary.","volume":"32","author":"MX Cohen","year":"2011","journal-title":"Hum Brain Mapp."},{"key":"pcbi.1009988.ref012","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-019-08725-w","article-title":"Subcortical electrophysiological activity is detectable with high-density EEG source imaging.","volume":"10","author":"M Seeber","year":"2019","journal-title":"Nat Commun"},{"key":"pcbi.1009988.ref013","doi-asserted-by":"crossref","first-page":"2195","DOI":"10.1016\/j.clinph.2004.06.001","article-title":"EEG source imaging.","author":"CM Michel","year":"2004","journal-title":"Clinical Neurophysiology"},{"key":"pcbi.1009988.ref014","first-page":"1","article-title":"Critical Comments on EEG Sensor Space Dynamical Connectivity Analysis.","author":"F Van de Steen","year":"2016","journal-title":"Brain Topogr"},{"key":"pcbi.1009988.ref015","first-page":"8","article-title":"Assessment of Subcortical Source Localization Using Deep Brain Activity Imaging Model with Minimum Norm Operators: A MEG Study.","author":"Y Attal","year":"2013","journal-title":"PLoS One"},{"key":"pcbi.1009988.ref016","first-page":"10","article-title":"EEG source imaging: A practical review of the analysis steps.","author":"CM Michel","year":"2019","journal-title":"Front Neurol."},{"key":"pcbi.1009988.ref017","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.neuroimage.2011.07.048","article-title":"DCM for complex-valued data: Cross-spectra, coherence and phase-delays.","volume":"59","author":"KJ Friston","year":"2012","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref018","doi-asserted-by":"crossref","first-page":"1273","DOI":"10.1016\/S1053-8119(03)00202-7","article-title":"Dynamic causal modelling.","volume":"19","author":"KJ Friston","year":"2003","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref019","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1016\/j.neuroimage.2005.10.045","article-title":"Dynamic causal modeling of evoked responses in EEG and MEG.","volume":"30","author":"O David","year":"2006","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref020","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1016\/j.neuroimage.2007.05.032","article-title":"A neural mass model of spectral responses in electrophysiology.","volume":"37","author":"RJ Moran","year":"2007","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref021","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1016\/j.neuroimage.2004.07.041","article-title":"Modelling functional integration: A comparison of structural equation and dynamic causal models.","volume":"23","author":"WD Penny","year":"2004","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref022","doi-asserted-by":"crossref","first-page":"1633","DOI":"10.1016\/j.neuroimage.2007.11.005","article-title":"Preictal short-term plasticity induced by intracerebral 1 Hz stimulation.","volume":"39","author":"O David","year":"2008","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref023","doi-asserted-by":"crossref","first-page":"e3000487","DOI":"10.1371\/journal.pbio.3000487","article-title":"Alpha oscillations and traveling waves: Signatures of predictive coding? Kohn A, editor","volume":"17","author":"A Alamia","year":"2019","journal-title":"PLOS Biol"},{"key":"pcbi.1009988.ref024","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1016\/j.neuroimage.2008.01.025","article-title":"Bayesian estimation of synaptic physiology from the spectral responses of neural masses.","volume":"42","author":"RJ Moran","year":"2008","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref025","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.neuroimage.2014.01.047","article-title":"Contrast gain control and horizontal interactions in V1: A DCM study.","volume":"92","author":"DA Pinotsis","year":"2014","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref026","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1140\/epjnbp18","article-title":"Extracting novel information from neuroimaging data using neural fields.","volume":"2","author":"DA Pinotsis","year":"2014","journal-title":"EPJ Nonlinear Biomed Phys"},{"key":"pcbi.1009988.ref027","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.neuroimage.2015.11.015","article-title":"Bayesian model reduction and empirical Bayes for group (DCM) studies.","volume":"128","author":"K Friston","year":"2016","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref028","doi-asserted-by":"crossref","first-page":"4597","DOI":"10.1002\/hbm.23331","article-title":"Intersubject variability and induced gamma in the visual cortex: DCM with empirical Bayes and neural fields","volume":"37","author":"DA Pinotsis","year":"2016","journal-title":"Hum Brain Mapp"},{"key":"pcbi.1009988.ref029","first-page":"1","article-title":"From eyes-closed to eyes-open: Role of cholinergic projections in EC-to-EO alpha reactivity revealed by combining EEG and MRI.","author":"L Wan","year":"2018","journal-title":"Hum Brain Mapp"},{"key":"pcbi.1009988.ref030","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10484-005-2169-8","article-title":"Increasing individual upper alpha power by neurofeedback improves cognitive performance in human subjects.","volume":"30","author":"S Hanslmayr","year":"2005","journal-title":"Appl Psychophysiol Biofeedback"},{"key":"pcbi.1009988.ref031","doi-asserted-by":"crossref","first-page":"1047","DOI":"10.3233\/JAD-2010-100798","article-title":"Reactivity of cortical alpha rhythms to eye opening in mild cognitive impairment and Alzheimer\u2019s disease: An EEG study.","volume":"22","author":"C Babiloni","year":"2010","journal-title":"J Alzheimer\u2019s Dis."},{"key":"pcbi.1009988.ref032","doi-asserted-by":"crossref","first-page":"1034","DOI":"10.1109\/TBME.2004.827072","article-title":"BCI2000: A General-Purpose Brain-Computer Interface (BCI) System.","volume":"51","author":"G Schalk","year":"2004","journal-title":"IEEE Trans Biomed Eng"},{"key":"pcbi.1009988.ref033","doi-asserted-by":"crossref","first-page":"E215","DOI":"10.1161\/01.CIR.101.23.e215","article-title":"PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals","volume":"101","author":"AL Goldberger","year":"2000","journal-title":"Circulation"},{"key":"pcbi.1009988.ref034","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1080\/00029238.1985.11080163","article-title":"Ten Percent Electrode System for Topographic Studies of Spontaneous and Evoked EEG Activities.","volume":"25","author":"GE Chatrian","year":"1985","journal-title":"Am J EEG Technol."},{"key":"pcbi.1009988.ref035","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":"A Delorme","year":"2004","journal-title":"J Neurosci Methods"},{"key":"pcbi.1009988.ref036","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1016\/j.neuroimage.2019.01.055","article-title":"Dynamic causal modelling of fluctuating connectivity in resting-state EEG.","volume":"189","author":"F Van de Steen","year":"2019","journal-title":"Neuroimage."},{"key":"pcbi.1009988.ref037","article-title":"Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing.","author":"Y Benjamini","year":"1995","journal-title":"J R Stat Soc Ser B."},{"key":"pcbi.1009988.ref038","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/j.neuroimage.2012.10.078","article-title":"Dynamic causal modelling of lateral interactions in the visual cortex.","volume":"66","author":"DA Pinotsis","year":"2013","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref039","first-page":"695","article-title":"Canonical Microcircuits for Predictive Coding.","author":"AM Bastos","year":"2012","journal-title":"Neuron. Cell Press"},{"key":"pcbi.1009988.ref040","doi-asserted-by":"crossref","first-page":"108912","DOI":"10.1016\/j.jneumeth.2020.108912","article-title":"Statistical decision theory and multiscale analyses of human brain data","volume":"346","author":"DA Pinotsis","year":"2020","journal-title":"J Neurosci Methods"},{"key":"pcbi.1009988.ref041","first-page":"0","article-title":"Dynamic causal modelling revisited.","author":"KJ Friston","year":"2017","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref042","doi-asserted-by":"crossref","first-page":"116734","DOI":"10.1016\/j.neuroimage.2020.116734","article-title":"Comparing dynamic causal models of neurovascular coupling with fMRI and EEG\/MEG.","author":"A Jafarian","year":"2020","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref043","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/j.neuroimage.2016.11.041","article-title":"Linking canonical microcircuits and neuronal activity: Dynamic causal modelling of laminar recordings.","volume":"146","author":"DA Pinotsis","year":"2017","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref044","doi-asserted-by":"crossref","first-page":"882","DOI":"10.1016\/j.neuron.2020.12.007","article-title":"Replay bursts in humans coincide with activation of the default mode and parietal alpha networks","volume":"109","author":"C Higgins","year":"2021","journal-title":"Neuron"},{"key":"pcbi.1009988.ref045","doi-asserted-by":"crossref","first-page":"796","DOI":"10.1016\/j.neuroimage.2008.09.048","article-title":"Dynamic causal models of steady-state responses.","volume":"44","author":"RJ Moran","year":"2009","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref046","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.neuroimage.2014.12.081","article-title":"A DCM study of spectral asymmetries in feedforward and feedback connections between visual areas V1 and V4 in the monkey.","volume":"108","author":"AM Bastos","year":"2015","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref047","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.neuroimage.2008.07.041","article-title":"NeuroImage Dynamical causal modelling for M \/ EEG : Spatial and temporal symmetry constraints.","volume":"44","author":"M Fastenrath","year":"2009","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref048","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1016\/j.neuroimage.2009.04.062","article-title":"Dynamic causal modelling of distributed electromagnetic responses.","volume":"47","author":"J Daunizeau","year":"2009","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref049","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1016\/j.neuroimage.2006.08.035","article-title":"Variational free energy and the Laplace approximation.","volume":"34","author":"K Friston","year":"2007","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref050","doi-asserted-by":"crossref","first-page":"2089","DOI":"10.1016\/j.neuroimage.2011.03.062","article-title":"Post hoc Bayesian model selection.","volume":"56","author":"K Friston","year":"2011","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref051","doi-asserted-by":"crossref","first-page":"4315","DOI":"10.1093\/cercor\/bhv200","article-title":"Altered Prefrontal Excitation\/Inhibition Balance and Prefrontal Output: Markers of Aging in Human Memory Networks","volume":"26","author":"W Legon","year":"2016","journal-title":"Cereb Cortex"},{"key":"pcbi.1009988.ref052","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fncom.2018.00023","article-title":"On the physiological modulation and potential mechanisms underlying parieto-occipital alpha oscillations","volume":"12","author":"D. Lozano-Soldevilla","year":"2018","journal-title":"Front Comput Neurosci"},{"key":"pcbi.1009988.ref053","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.brainresrev.2006.06.003","article-title":"EEG alpha oscillations: The inhibition-timing hypothesis","volume":"53","author":"W Klimesch","year":"2007","journal-title":"Brain Res Rev"},{"key":"pcbi.1009988.ref054","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fphar.2016.00348","article-title":"Effects of ketamine on resting-state EEG activity and their relationship to perceptual\/dissociative symptoms in healthy humans.","volume":"7","author":"S de la Salle","year":"2016","journal-title":"Front Pharmacol."},{"key":"pcbi.1009988.ref055","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.1093\/schbul\/sbv051","article-title":"Ketamine dysregulates the amplitude and connectivity of high-frequency oscillations in cortical-subcortical networks in humans: Evidence from resting-state magnetoencephalography-recordings.","volume":"41","author":"D Rivolta","year":"2015","journal-title":"Schizophr Bull."},{"key":"pcbi.1009988.ref056","doi-asserted-by":"crossref","first-page":"1195","DOI":"10.1152\/physrev.00035.2008","article-title":"Neurophysiological and Computational Principles of Cortical Rhythms in Cognition","volume":"90","author":"X. Wang","year":"2010","journal-title":"Physiol Rev"},{"key":"pcbi.1009988.ref057","first-page":"1","article-title":"EEG alpha reactivity and cholinergic system integrity in Lewy body dementia and Alzheimer\u2019s disease.","volume":"12","author":"J Schumacher","year":"2020","journal-title":"Alzheimer\u2019s Res Ther."},{"key":"pcbi.1009988.ref058","doi-asserted-by":"crossref","first-page":"2521","DOI":"10.1016\/j.clinph.2006.06.720","article-title":"Resting state oscillatory brain dynamics in Parkinson\u2019s disease: An MEG study","volume":"117","author":"JLW Bosboom","year":"2006","journal-title":"Clin Neurophysiol"},{"key":"pcbi.1009988.ref059","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pcbi.1007662","article-title":"Inferring a simple mechanism for alpha-blocking by fitting a neural population model to EEG spectra.","volume":"16","author":"A Hartoyo","year":"2020","journal-title":"PLoS Comput Biol"},{"key":"pcbi.1009988.ref060","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pcbi.1006694","article-title":"Parameter estimation and identifiability in a neural population model for electro-cortical activity.","volume":"15","author":"A Hartoyo","year":"2019","journal-title":"PLoS Comput Biol"},{"key":"pcbi.1009988.ref061","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.jtbi.2004.07.004","article-title":"Estimation of neurophysiological parameters from the waking EEG using a biophysical model of brain dynamics","volume":"231","author":"DL Rowe","year":"2004","journal-title":"J Theor Biol"},{"key":"pcbi.1009988.ref062","doi-asserted-by":"crossref","first-page":"2712","DOI":"10.1523\/JNEUROSCI.3433-10.2011","article-title":"Dynamic Causal Modeling of Subcortical Connectivity of Language","volume":"31","author":"O David","year":"2011","journal-title":"J Neurosci"},{"key":"pcbi.1009988.ref063","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1007\/BF00270757","article-title":"Model of brain rhythmic activity","volume":"15","author":"FH Lopes da Silva","year":"1974","journal-title":"Kybernetik"},{"key":"pcbi.1009988.ref064","first-page":"1","article-title":"A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation.","author":"MS Costa","year":"2016"},{"key":"pcbi.1009988.ref065","first-page":"1","article-title":"OPEN A new description of epileptic seizures based on dynamic analysis of a thalamocortical model.","author":"HS Haghighi","year":"2017","journal-title":"Sci Rep."},{"key":"pcbi.1009988.ref066","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1016\/j.neuroimage.2008.05.018","article-title":"The functional anatomy of the MMN: A DCM study of the roving paradigm.","volume":"42","author":"MI Garrido","year":"2008","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref067","doi-asserted-by":"crossref","first-page":"1818","DOI":"10.1016\/j.neuroimage.2003.12.026","article-title":"Eyes open and eyes closed as rest conditions: Impact on brain activation patterns","volume":"21","author":"E Marx","year":"2004","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref068","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1016\/S1053-8119(03)00150-2","article-title":"Eye closure in darkness animates sensory systems.","volume":"19","author":"E Marx","year":"2003","journal-title":"Neuroimage"},{"key":"pcbi.1009988.ref069","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-66100-y","article-title":"Opening or closing eyes at rest modulates the functional connectivity of V1 with default and salience networks.","volume":"10","author":"V Costumero","year":"2020","journal-title":"Sci Rep."},{"key":"pcbi.1009988.ref070","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1038\/s41593-020-00744-x","article-title":"Parameterizing neural power spectra into periodic and aperiodic components","volume":"23","author":"T Donoghue","year":"2020","journal-title":"Nat Neurosci"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1009988","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T00:00:00Z","timestamp":1673222400000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1009988","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T14:01:26Z","timestamp":1673272886000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1009988"}},"subtitle":[],"editor":[{"given":"Marieke Karlijn","family":"van Vugt","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,12,27]]},"references-count":70,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2022,12,27]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1009988","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/2022.03.03.482940","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12,27]]}}}