{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T19:26:41Z","timestamp":1778873201784,"version":"3.51.4"},"reference-count":62,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2021,11,24]],"date-time":"2021-11-24T00:00:00Z","timestamp":1637712000000},"content-version":"vor","delay-in-days":207,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100014440","name":"Gobierno de Espana Ministerio de Ciencia Innovacion y Universidades","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Behavioural Brain Research"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1016\/j.bbr.2021.113188","type":"journal-article","created":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T16:31:32Z","timestamp":1614097892000},"page":"113188","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Structural equation models to estimate dynamic effective connectivity networks in resting fMRI. A comparison between individuals with Down syndrome and controls"],"prefix":"10.1016","volume":"405","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6396-0282","authenticated-orcid":false,"given":"Maria Dolores","family":"Figueroa-Jim\u00e9nez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3101-2923","authenticated-orcid":false,"given":"Cristina","family":"Ca\u00f1ete-Mass\u00e9","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0383-0643","authenticated-orcid":false,"given":"Mar\u00eda","family":"Carb\u00f3-Carret\u00e9","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Zarabozo-Hurtado","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4275-9184","authenticated-orcid":false,"given":"Joan","family":"Gu\u00e0rdia-Olmos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0005","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1089\/brain.2016.0438","article-title":"The default mode network in healthy individuals: a systematic review and meta-analysis","volume":"7","author":"Mak","year":"2017","journal-title":"Brain Connect."},{"issue":"4","key":"10.1016\/j.bbr.2021.113188_bib0010","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1002\/mrm.1910340409","article-title":"Functional connectivity in the motor cortex of resting human brain using echo-planar mri","volume":"34","author":"Biswal","year":"1995","journal-title":"Magn. Reson. Med."},{"issue":"8","key":"10.1016\/j.bbr.2021.113188_bib0015","first-page":"1390","article-title":"Resting-state functional MRI: everything that nonexperts have always wanted to know","volume":"39","author":"Lv","year":"2018","journal-title":"Am. J. Neuroradiol."},{"issue":"3","key":"10.1016\/j.bbr.2021.113188_bib0020","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1111\/rssc.12169","article-title":"Estimating whole\u2010brain dynamics by using spectral clustering","volume":"66","author":"Cribben","year":"2017","journal-title":"J. R. Stat. Soc. Ser. C Appl. Stat."},{"key":"10.1016\/j.bbr.2021.113188_bib0025","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1016\/j.nicl.2017.12.013","article-title":"Dynamic functional connectivity in Parkinson\u2019s disease patients with mild cognitive impairment and normal cognition","volume":"17","author":"D\u00edez-Cirarda","year":"2018","journal-title":"Neuroimage Clin."},{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0030","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1007\/s11682-015-9384-6","article-title":"Static and dynamic posterior cingulate cortex nodal topology of default mode network predicts attention task performance","volume":"10","author":"Lin","year":"2016","journal-title":"Brain Imaging Behav."},{"key":"10.1016\/j.bbr.2021.113188_bib0035","doi-asserted-by":"crossref","first-page":"131","DOI":"10.3389\/fnagi.2018.00131","article-title":"The dose-dependent effects of vascular risk factors on dynamic compensatory neural processes in mild cognitive impairment","volume":"10","author":"Chen","year":"2018","journal-title":"Front. Aging Neurosci."},{"key":"10.1016\/j.bbr.2021.113188_bib0040","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.cortex.2018.05.004","article-title":"Functional networks reemerge during recovery of consciousness after acute severe traumatic brain injury","volume":"106","author":"Threlkeld","year":"2018","journal-title":"Cortex"},{"issue":"5","key":"10.1016\/j.bbr.2021.113188_bib0045","doi-asserted-by":"crossref","DOI":"10.1097\/ACO.0000000000000237","article-title":"Connectivity","volume":"28","author":"Ramani","year":"2015","journal-title":"Curr. Opin. Anesthesiol."},{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0050","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1089\/brain.2011.0008","article-title":"Functional and effective connectivity: a review","volume":"1","author":"Friston","year":"2011","journal-title":"Brain Connect."},{"key":"10.1016\/j.bbr.2021.113188_bib0055","doi-asserted-by":"crossref","first-page":"594","DOI":"10.1016\/j.neuroimage.2017.11.033","article-title":"Dynamic effective connectivity in resting state fMRI","volume":"180","author":"Park","year":"2018","journal-title":"NeuroImage"},{"key":"10.1016\/j.bbr.2021.113188_bib0060","doi-asserted-by":"crossref","first-page":"14","DOI":"10.3389\/fnhum.2016.00014","article-title":"Effective connectivity within the default mode network: dynamic causal modeling of resting-state fMRI data","volume":"10","author":"Sharaev","year":"2016","journal-title":"Front. Hum. Neurosci."},{"key":"10.1016\/j.bbr.2021.113188_bib0065","series-title":"A Regularized Unified Structural Equation Modeling Approach for Hybrid Vector Autoregression","article-title":"Path and directionality discovery in individual dynamic models","author":"Ye","year":"2020"},{"key":"10.1016\/j.bbr.2021.113188_bib0070","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.neuroimage.2018.03.074","article-title":"Directed functional connectivity using dynamic graphical models","volume":"175","author":"Schwab","year":"2018","journal-title":"NeuroImage"},{"issue":"11","key":"10.1016\/j.bbr.2021.113188_bib0075","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pone.0208247","article-title":"Complex systems representing effective connectivity in patients with type one diabetes mellitus","volume":"13","author":"Gu\u00e0rdia-Olmos","year":"2018","journal-title":"PLoS One"},{"key":"10.1016\/j.bbr.2021.113188_bib0080","doi-asserted-by":"crossref","first-page":"19","DOI":"10.3389\/fnbeh.2018.00019","article-title":"Meta-analysis of the structural equation models\u2019 parameters for the estimation of brain connectivity with fMRI","volume":"12","author":"Gu\u00e0rdia-Olmos","year":"2018","journal-title":"Front. Behav. Neurosci."},{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0085","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.neuroimage.2012.06.026","article-title":"Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples","volume":"63","author":"Gates","year":"2012","journal-title":"NeuroImage"},{"issue":"2","key":"10.1016\/j.bbr.2021.113188_bib0090","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1080\/00273171.2016.1256187","article-title":"Unsupervised classification during time-series model building","volume":"52","author":"Gates","year":"2017","journal-title":"Multivariate Behav. Res."},{"key":"10.1016\/j.bbr.2021.113188_bib0095","first-page":"1","article-title":"A neuroimaging study of semantic representation in first and second languages","author":"Zhang","year":"2020","journal-title":"Lang. Cogn. Neurosci."},{"issue":"6","key":"10.1016\/j.bbr.2021.113188_bib0100","doi-asserted-by":"crossref","first-page":"789","DOI":"10.1080\/00273171.2017.1373014","article-title":"Network mapping with GIMME","volume":"52","author":"Beltz","year":"2017","journal-title":"Multivariate Behav. Res."},{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0105","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.neuroimage.2011.07.083","article-title":"Altered resting-state effective connectivity of fronto-parietal motor control systems on the primary motor network following stroke","volume":"59","author":"Inman","year":"2012","journal-title":"NeuroImage"},{"issue":"3","key":"10.1016\/j.bbr.2021.113188_bib0110","first-page":"255","article-title":"Effective connectivity within the default mode network modulated by methylphenidate using dynamic causal modeling on resting-state functional magnetic resonance imaging","volume":"68","author":"Xu","year":"2016","journal-title":"Acta Physiol. Sin."},{"key":"10.1016\/j.bbr.2021.113188_bib0115","doi-asserted-by":"crossref","first-page":"195","DOI":"10.3389\/fnhum.2016.00195","article-title":"Mapping smoking addiction using effective connectivity analysis","volume":"10","author":"Tang","year":"2016","journal-title":"Front. Hum. Neurosci."},{"issue":"7","key":"10.1016\/j.bbr.2021.113188_bib0120","doi-asserted-by":"crossref","first-page":"e00732","DOI":"10.1002\/brb3.732","article-title":"Abnormal resting state effective connectivity within the default mode network in major depressive disorder: a spectral dynamic causal modeling study","volume":"7","author":"Li","year":"2017","journal-title":"Brain Behav."},{"issue":"12","key":"10.1016\/j.bbr.2021.113188_bib0125","doi-asserted-by":"crossref","first-page":"5626","DOI":"10.1093\/cercor\/bhw332","article-title":"Heritability of the effective connectivity in the resting-state default mode network","volume":"27","author":"Xu","year":"2017","journal-title":"Cereb. Cortex"},{"issue":"26","key":"10.1016\/j.bbr.2021.113188_bib0130","doi-asserted-by":"crossref","first-page":"11073","DOI":"10.1073\/pnas.0704320104","article-title":"Distinct brain networks for adaptive and stable task control in humans","volume":"104","author":"Dosenbach","year":"2007","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"28","key":"10.1016\/j.bbr.2021.113188_bib0135","doi-asserted-by":"crossref","first-page":"11747","DOI":"10.1073\/pnas.0903641106","article-title":"Cognitive fitness of cost-efficient brain functional networks","volume":"106","author":"Bassett","year":"2009","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"23","key":"10.1016\/j.bbr.2021.113188_bib0140","doi-asserted-by":"crossref","first-page":"7619","DOI":"10.1523\/JNEUROSCI.1443-09.2009","article-title":"Efficiency of functional brain networks and intellectual performance","volume":"29","author":"van den Heuvel","year":"2009","journal-title":"J. Neurosci."},{"issue":"44","key":"10.1016\/j.bbr.2021.113188_bib0145","doi-asserted-by":"crossref","first-page":"19067","DOI":"10.1073\/pnas.1009073107","article-title":"White matter maturation reshapes structural connectivity in the late developing human brain","volume":"107","author":"Hagmann","year":"2010","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"28","key":"10.1016\/j.bbr.2021.113188_bib0150","doi-asserted-by":"crossref","first-page":"11583","DOI":"10.1073\/pnas.1220826110","article-title":"Cognitive relevance of the community structure of the human brain functional coactivation network","volume":"110","author":"Crossley","year":"2013","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"4","key":"10.1016\/j.bbr.2021.113188_bib0155","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1007\/s11682-013-9279-3","article-title":"Global and local brain network reorganization in attention-deficit\/hyperactivity disorder","volume":"8","author":"Lin","year":"2014","journal-title":"Brain Imaging Behav."},{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0160","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1196\/annals.1440.011","article-title":"The brain\u2019s default network","volume":"1124","author":"Buckner","year":"2008","journal-title":"Ann. N. Y. Acad. Sci."},{"issue":"12","key":"10.1016\/j.bbr.2021.113188_bib0165","doi-asserted-by":"crossref","first-page":"4690","DOI":"10.1073\/pnas.1113455109","article-title":"Salience network integrity predicts default mode network function after traumatic brain injury","volume":"109","author":"Bonnelle","year":"2012","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.bbr.2021.113188_bib0170","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.neuroimage.2014.06.044","article-title":"Dynamic functional connectivity of the default mode network tracks daydreaming","volume":"100","author":"Kucyi","year":"2014","journal-title":"NeuroImage"},{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0175","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.neuroimage.2009.12.011","article-title":"Time-frequency dynamics of resting-state brain connectivity measured with fMRI","volume":"50","author":"Chang","year":"2010","journal-title":"NeuroImage"},{"issue":"11","key":"10.1016\/j.bbr.2021.113188_bib0180","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0028301","article-title":"Dynamic changes in brain functional connectivity during concurrent dual-task performance","volume":"6","author":"Cocchi","year":"2011","journal-title":"PLoS One"},{"issue":"3","key":"10.1016\/j.bbr.2021.113188_bib0185","doi-asserted-by":"crossref","first-page":"1712","DOI":"10.1016\/j.neuroimage.2012.06.078","article-title":"Periodic changes in fMRI connectivity","volume":"63","author":"Handwerker","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.bbr.2021.113188_bib0190","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2012.00339","article-title":"Dynamic BOLD functional connectivity in humans and its electrophysiological correlates","volume":"6","author":"Tagliazucchi","year":"2012","journal-title":"Front. Hum. Neurosci."},{"issue":"4","key":"10.1016\/j.bbr.2021.113188_bib0195","doi-asserted-by":"crossref","first-page":"852","DOI":"10.1002\/hbm.21475","article-title":"Dynamic changes of ICA-derived EEG functional connectivity in the resting state","volume":"34","author":"Chen","year":"2013","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.bbr.2021.113188_bib0200","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.neuroimage.2013.05.079","article-title":"Dynamic functional connectivity: promise, issues, and interpretations","volume":"80","author":"Hutchison","year":"2013","journal-title":"NeuroImage"},{"issue":"9","key":"10.1016\/j.bbr.2021.113188_bib0205","doi-asserted-by":"crossref","first-page":"2154","DOI":"10.1002\/hbm.22058","article-title":"Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques","volume":"34","author":"Hutchison","year":"2013","journal-title":"Hum. Brain Mapp."},{"issue":"46","key":"10.1016\/j.bbr.2021.113188_bib0210","doi-asserted-by":"crossref","first-page":"18692","DOI":"10.1073\/pnas.1312902110","article-title":"Mind wandering away from pain dynamically engages antinociceptive and default mode brain networks","volume":"110","author":"Kucyi","year":"2013","journal-title":"Proc. Natl. Acad. Sci."},{"key":"10.1016\/j.bbr.2021.113188_bib0215","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.neuroimage.2012.10.015","article-title":"Tracking dynamic resting-state networks at higher frequencies using MR-encephalography","volume":"65","author":"Lee","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.bbr.2021.113188_bib0220","doi-asserted-by":"crossref","first-page":"937","DOI":"10.1016\/j.neuroimage.2013.07.019","article-title":"Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest","volume":"83","author":"Leonardi","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.bbr.2021.113188_bib0225","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1016\/j.neuroimage.2013.07.036","article-title":"Neural correlates of time-varying functional connectivity in the rat","volume":"83","author":"Thompson","year":"2013","journal-title":"NeuroImage"},{"issue":"3","key":"10.1016\/j.bbr.2021.113188_bib0230","first-page":"663","article-title":"Tracking whole-brain connectivity dynamics in the resting state","volume":"24","author":"Allen","year":"2014","journal-title":"Cereb. Cortex (New York, N.Y.: 1991)"},{"issue":"3","key":"10.1016\/j.bbr.2021.113188_bib0235","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1016\/j.neuron.2014.03.020","article-title":"Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep","volume":"82","author":"Tagliazucchi","year":"2014","journal-title":"Neuron"},{"issue":"6158","key":"10.1016\/j.bbr.2021.113188_bib0240","doi-asserted-by":"crossref","first-page":"1238411","DOI":"10.1126\/science.1238411","article-title":"Structural and functional brain networks: from connections to cognition","volume":"342","author":"Park","year":"2013","journal-title":"Science (New York, N.Y.)"},{"issue":"2","key":"10.1016\/j.bbr.2021.113188_bib0245","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"},{"issue":"2","key":"10.1016\/j.bbr.2021.113188_bib0250","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.tins.2014.11.006","article-title":"The dynamic pain connectome","volume":"38","author":"Kucyi","year":"2015","journal-title":"Trends Neurosci."},{"issue":"31","key":"10.1016\/j.bbr.2021.113188_bib0255","doi-asserted-by":"crossref","first-page":"12788","DOI":"10.1073\/pnas.1204185109","article-title":"Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection","volume":"109","author":"Fornito","year":"2012","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"12","key":"10.1016\/j.bbr.2021.113188_bib0260","doi-asserted-by":"crossref","first-page":"4496","DOI":"10.1523\/JNEUROSCI.5641-10.2011","article-title":"The importance of being variable","volume":"31","author":"Garrett","year":"2011","journal-title":"J. Neurosci."},{"issue":"5","key":"10.1016\/j.bbr.2021.113188_bib0265","doi-asserted-by":"crossref","first-page":"1929","DOI":"10.1073\/pnas.1214900110","article-title":"Coupling of functional connectivity and regional cerebral blood flow reveals a physiological basis for network hubs of the human brain","volume":"110","author":"Liang","year":"2013","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.bbr.2021.113188_bib0270","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1016\/j.nicl.2013.05.006","article-title":"Abnormal brain synchrony in down syndrome","volume":"2","author":"Anderson","year":"2013","journal-title":"Neuroimage Clin."},{"key":"10.1016\/j.bbr.2021.113188_bib0275","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1089\/brain.2014.0266","article-title":"Resting-state functional connectivity in individuals with Down syndrome and Williams syndrome compared with typically developing controls","volume":"5","author":"Vega","year":"2015","journal-title":"Brain Connect."},{"key":"10.1016\/j.bbr.2021.113188_bib0280","doi-asserted-by":"crossref","first-page":"4551","DOI":"10.1002\/hbm.24720","article-title":"Differential effects of Down\u2019s syndrome and Alzheimer\u2019s neuropathology on default mode connectivity","volume":"40","author":"Wilson","year":"2019","journal-title":"Hum. Brain Mapp."},{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0285","doi-asserted-by":"crossref","first-page":"10532","DOI":"10.1038\/srep10532","article-title":"A novel brain partition highlights the modular skeleton shared by structure and function","volume":"5","author":"Diez","year":"2015","journal-title":"Sci. Rep."},{"key":"10.1016\/j.bbr.2021.113188_bib0290","first-page":"1326","article-title":"Frequencies contributing to functional connectivity in the cerebral cortex in \u201cresting-state\u201d data","volume":"22","author":"Cordes","year":"2001","journal-title":"Am. J. Neuroradiol."},{"issue":"4","key":"10.1016\/j.bbr.2021.113188_bib0295","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1002\/(SICI)1097-0193(1999)7:4<254::AID-HBM4>3.0.CO;2-G","article-title":"Nonlinear spatial normalization using basis functions","volume":"7","author":"Ashburner","year":"1999","journal-title":"Hum. Brain Mapp."},{"issue":"1","key":"10.1016\/j.bbr.2021.113188_bib0300","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"NeuroImage"},{"issue":"9","key":"10.1016\/j.bbr.2021.113188_bib0305","doi-asserted-by":"crossref","first-page":"1544","DOI":"10.4103\/1673-5374.255976","article-title":"Age-related changes in resting-state functional connectivity in older adults","volume":"14","author":"Farras-Permanyer","year":"2019","journal-title":"Neural Regen. Res."},{"issue":"10","key":"10.1016\/j.bbr.2021.113188_bib0310","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1111\/cns.12396","article-title":"Age-related changes in resting-state networks of a large sample size of healthy elderly","volume":"21","author":"Huang","year":"2015","journal-title":"CNS Neurosci. Ther."}],"container-title":["Behavioural Brain Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0166432821000760?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0166432821000760?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T13:26:38Z","timestamp":1759065998000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0166432821000760"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":62,"alternative-id":["S0166432821000760"],"URL":"https:\/\/doi.org\/10.1016\/j.bbr.2021.113188","relation":{},"ISSN":["0166-4328"],"issn-type":[{"value":"0166-4328","type":"print"}],"subject":[],"published":{"date-parts":[[2021,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Structural equation models to estimate dynamic effective connectivity networks in resting fMRI. A comparison between individuals with Down syndrome and controls","name":"articletitle","label":"Article Title"},{"value":"Behavioural Brain Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bbr.2021.113188","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"113188"}}