{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,24]],"date-time":"2026-09-24T17:02:46Z","timestamp":1790269366533,"version":"4.1.0"},"reference-count":149,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2018,5,20]],"date-time":"2018-05-20T00:00:00Z","timestamp":1526774400000},"content-version":"vor","delay-in-days":139,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000070","name":"National Institute of Biomedical Imaging and Bioengineering","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000070","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005614","name":"Biogen","doi-asserted-by":"publisher","award":["2011A052713"],"award-info":[{"award-number":["2011A052713"]}],"id":[{"id":"10.13039\/100005614","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["S10RR023043"],"award-info":[{"award-number":["S10RR023043"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["S10RR019307"],"award-info":[{"award-number":["S10RR019307"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["S10RR023401"],"award-info":[{"award-number":["S10RR023401"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01NR010827"],"award-info":[{"award-number":["R01NR010827"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["S10RR021110"],"award-info":[{"award-number":["S10RR021110"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["S10RR019254"],"award-info":[{"award-number":["S10RR019254"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["S10RR014978"],"award-info":[{"award-number":["S10RR014978"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100005294","name":"Massachusetts General Hospital","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100005294","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1016\/j.nicl.2018.05.028","type":"journal-article","created":{"date-parts":[[2018,5,22]],"date-time":"2018-05-22T02:20:44Z","timestamp":1526955644000},"page":"128-152","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":47,"special_numbering":"C","title":["Short timescale abnormalities in the states of spontaneous synchrony in the functional neural networks in Alzheimer's disease"],"prefix":"10.1016","volume":"20","author":[{"given":"Tatiana A.","family":"Sitnikova","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeremy W.","family":"Hughes","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7674-6931","authenticated-orcid":false,"given":"Seppo P.","family":"Ahlfors","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8460-8854","authenticated-orcid":false,"given":"Mark W.","family":"Woolrich","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David H.","family":"Salat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.nicl.2018.05.028_bb0005","doi-asserted-by":"crossref","first-page":"1363","DOI":"10.1016\/j.neuropsychologia.2006.10.016","article-title":"Remembering the past and imagining the future: common and distinct neural substrates during event construction and elaboration","volume":"45","author":"Addis","year":"2007","journal-title":"Neuropsychologia"},{"key":"10.1016\/j.nicl.2018.05.028_bb0010","doi-asserted-by":"crossref","first-page":"1564","DOI":"10.1016\/j.neurobiolaging.2011.06.007","article-title":"Resting state fMRI in Alzheimer's disease: beyond the default mode network","volume":"33","author":"Agosta","year":"2012","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.nicl.2018.05.028_bb0015","doi-asserted-by":"crossref","first-page":"524","DOI":"10.1007\/s10439-010-0155-7","article-title":"MEG connectivity analysis in patients with Alzheimer's disease using cross mutual information and spectral coherence","volume":"39","author":"Alonso","year":"2011","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.nicl.2018.05.028_bb0020","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1152\/jn.00830.2009","article-title":"Evidence for the default network's role in spontaneous cognition","volume":"104","author":"Andrews-Hanna","year":"2010","journal-title":"J. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0025","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.neulet.2008.04.021","article-title":"Default-mode network activity distinguishes amnestic type mild cognitive impairment from healthy aging: a combined structural and resting-state functional MRI study","volume":"438","author":"Bai","year":"2008","journal-title":"Neurosci. Lett."},{"issue":"6","key":"10.1016\/j.nicl.2018.05.028_bb0030","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1109\/79.962275","article-title":"Electromagnetic brain mapping","volume":"18","author":"Baillet","year":"2001","journal-title":"IEEE Signal Process. Mag."},{"key":"10.1016\/j.nicl.2018.05.028_bb0035","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.01867","article-title":"Fast transient networks in spontaneous human brain activity","volume":"3","author":"Baker","year":"2014","journal-title":"elife"},{"key":"10.1016\/j.nicl.2018.05.028_bb0040","doi-asserted-by":"crossref","DOI":"10.7554\/eLife.07224","article-title":"Irregular spiking of pyramidal neurons organizes as scale-invariant neuronal avalanches in the awake state","volume":"4","author":"Bellay","year":"2015","journal-title":"elife"},{"key":"10.1016\/j.nicl.2018.05.028_bb0045","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1016\/S1388-2457(99)00309-0","article-title":"Magnetoencephalographic analysis of cortical activity in Alzheimer's disease: a pilot study","volume":"111","author":"Berendse","year":"2000","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0050","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/S0013-4694(97)96562-7","article-title":"Discrimination of Alzheimer's disease and normal aging by EEG data","volume":"103","author":"Besthorn","year":"1997","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0055","doi-asserted-by":"crossref","first-page":"2018","DOI":"10.1016\/j.neurobiolaging.2011.07.003","article-title":"Resting-state fMRI changes in Alzheimer's disease and mild cognitive impairment","volume":"33","author":"Binnewijzend","year":"2012","journal-title":"Neurobiol. Aging"},{"issue":"1","key":"10.1016\/j.nicl.2018.05.028_bb0060","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1152\/physrev.1990.70.1.1","article-title":"Slow potentials of the cerebral cortex and behavior","volume":"70","author":"Birbaumer","year":"1990","journal-title":"Physiol. Rev."},{"key":"10.1016\/j.nicl.2018.05.028_bb0065","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."},{"key":"10.1016\/j.nicl.2018.05.028_bb0070","doi-asserted-by":"crossref","first-page":"8890","DOI":"10.1523\/JNEUROSCI.5698-11.2012","article-title":"Loss of intranetwork and internetwork resting state functional connections with Alzheimer's disease progression","volume":"32","author":"Brier","year":"2012","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0075","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1016\/j.neurobiolaging.2013.10.081","article-title":"Functional connectivity and graph theory in preclinical Alzheimer's disease","volume":"35","author":"Brier","year":"2014","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.nicl.2018.05.028_bb0080","doi-asserted-by":"crossref","first-page":"1162","DOI":"10.1016\/j.neuroimage.2010.02.052","article-title":"BOLD correlates of EEG topography reveal rapid resting-state network dynamics","volume":"52","author":"Britz","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0085","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1016\/j.neuroimage.2004.06.031","article-title":"A general linear model for MEG beamformer imaging","volume":"23","author":"Brookes","year":"2004","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0090","doi-asserted-by":"crossref","first-page":"16783","DOI":"10.1073\/pnas.1112685108","article-title":"Investigating the electrophysiological basis of resting state networks using magnetoencephalography","volume":"108","author":"Brookes","year":"2011","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0095","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1196\/annals.1440.011","article-title":"The brain's default network: anatomy, function, and relevance to disease","volume":"1124","author":"Buckner","year":"2008","journal-title":"Ann. N. Y. Acad. Sci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0100","doi-asserted-by":"crossref","first-page":"1860","DOI":"10.1523\/JNEUROSCI.5062-08.2009","article-title":"Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease","volume":"29","author":"Buckner","year":"2009","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0105","doi-asserted-by":"crossref","first-page":"1520","DOI":"10.1162\/jocn.2007.19.9.1520","article-title":"Common and unique neural activations in autobiographical, episodic, and semantic retrieval","volume":"19","author":"Burianova","year":"2007","journal-title":"J. Cogn. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0110","doi-asserted-by":"crossref","DOI":"10.1088\/0034-4885\/76\/9\/096601","article-title":"The physics of functional magnetic resonance imaging (fMRI)","volume":"76","author":"Buxton","year":"2013","journal-title":"Rep. Prog. Phys."},{"key":"10.1016\/j.nicl.2018.05.028_bb0115","series-title":"Rhythms of the Brain","author":"Buzsaki","year":"2006"},{"key":"10.1016\/j.nicl.2018.05.028_bb0120","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1038\/nrn3241","article-title":"The origin of extracellular fields and currents\u2014EEG, ECoG, LFP and spikes","volume":"13","author":"Buzsaki","year":"2012","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0125","doi-asserted-by":"crossref","first-page":"10325","DOI":"10.1523\/JNEUROSCI.0704-15.2015","article-title":"Network disruption and cerebrospinal fluid amyloid-beta and phospho-tau levels in mild cognitive impairment","volume":"35","author":"Canuet","year":"2015","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0130","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.neuroimage.2015.03.071","article-title":"A symmetric multivariate leakage correction for MEG connectomes","volume":"117","author":"Colclough","year":"2015","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0135","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.neuroimage.2016.05.070","article-title":"How reliable are MEG resting-state connectivity metrics?","volume":"138","author":"Colclough","year":"2016","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0140","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/0166-4328(95)00214-6","article-title":"Synaptic dysfunction in Alzheimer's disease: clinical assessment using quantitative EEG","volume":"78","author":"Cook","year":"1996","journal-title":"Behav. Brain Res."},{"key":"10.1016\/j.nicl.2018.05.028_bb0145","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1038\/nrn755","article-title":"Control of goal-directed and stimulus-driven attention in the brain","volume":"3","author":"Corbetta","year":"2002","journal-title":"Nat. Rev. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0150","first-page":"1636","article-title":"Mapping functionally related regions of brain with functional connectivity MR imaging","volume":"21","author":"Cordes","year":"2000","journal-title":"AJNR Am. J. Neuroradiol."},{"issue":"2","key":"10.1016\/j.nicl.2018.05.028_bb0155","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1162\/jocn.1993.5.2.162","article-title":"Improved localizadon of cortical activity by combining EEG and MEG with MRI cortical surface reconstruction: a linear approach","volume":"5","author":"Dale","year":"1993","journal-title":"J. Cogn. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0160","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1006\/nimg.1998.0395","article-title":"Cortical surface-based analysis. I. Segmentation and surface reconstruction","volume":"9","author":"Dale","year":"1999","journal-title":"NeuroImage"},{"issue":"828","key":"10.1016\/j.nicl.2018.05.028_bb0165","first-page":"e819","article-title":"Functional connectivity tracks clinical deterioration in Alzheimer's disease","volume":"33","author":"Damoiseaux","year":"2012","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.nicl.2018.05.028_bb0170","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1097\/WNP.0b013e31817da184","article-title":"Resting-state oscillatory brain dynamics in Alzheimer disease","volume":"25","author":"de Haan","year":"2008","journal-title":"J. Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0175","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1186\/1471-2202-10-101","article-title":"Functional neural network analysis in frontotemporal dementia and Alzheimer's disease using EEG and graph theory","volume":"10","author":"de Haan","year":"2009","journal-title":"BMC Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0180","doi-asserted-by":"crossref","first-page":"3085","DOI":"10.1016\/j.neuroimage.2011.11.055","article-title":"Disrupted modular brain dynamics reflect cognitive dysfunction in Alzheimer's disease","volume":"59","author":"de Haan","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0185","doi-asserted-by":"crossref","first-page":"3353","DOI":"10.1113\/jphysiol.2008.155580","article-title":"High frequency action potential bursts (> or =100\u202fHz) in L2\/3 and L5B thick tufted neurons in anaesthetized and awake rat primary somatosensory cortex","volume":"586","author":"de Kock","year":"2008","journal-title":"J. Physiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0190","doi-asserted-by":"crossref","first-page":"6040","DOI":"10.1073\/pnas.0913863107","article-title":"Temporal dynamics of spontaneous MEG activity in brain networks","volume":"107","author":"de Pasquale","year":"2010","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0195","doi-asserted-by":"crossref","first-page":"753","DOI":"10.1016\/j.neuron.2012.03.031","article-title":"A cortical core for dynamic integration of functional networks in the resting human brain","volume":"74","author":"de Pasquale","year":"2012","journal-title":"Neuron"},{"key":"10.1016\/j.nicl.2018.05.028_bb0200","doi-asserted-by":"crossref","first-page":"3095","DOI":"10.1038\/s41598-017-03073-5","article-title":"The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core","volume":"7","author":"Deco","year":"2017","journal-title":"Sci. Rep."},{"key":"10.1016\/j.nicl.2018.05.028_bb0205","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.neuroimage.2016.10.047","article-title":"The most relevant human brain regions for functional connectivity: evidence for a dynamical workspace of binding nodes from whole-brain computational modelling","volume":"146","author":"Deco","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0210","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/cercor\/12.1.1","article-title":"Electrophysiological properties of pyramidal neurons in the rat prefrontal cortex: an in vivo intracellular recording study","volume":"12","author":"Degenetais","year":"2002","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2018.05.028_bb0215","doi-asserted-by":"crossref","first-page":"258","DOI":"10.3389\/fnins.2014.00258","article-title":"Relating resting-state fMRI and EEG whole-brain connectomes across frequency bands","volume":"8","author":"Deligianni","year":"2014","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0220","doi-asserted-by":"crossref","DOI":"10.7717\/peerj.367","article-title":"Modulatory interactions between the default mode network and task positive networks in resting-state","volume":"2","author":"Di","year":"2014","journal-title":"PeerJ"},{"key":"10.1016\/j.nicl.2018.05.028_bb0225","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/BF01277666","article-title":"EEG-microstates in mild memory impairment and Alzheimer's disease: possible association with disturbed information processing","volume":"104","author":"Dierks","year":"1997","journal-title":"J. Neural. Transm. (Vienna)"},{"key":"10.1016\/j.nicl.2018.05.028_bb0230","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1038\/nn.3376","article-title":"Spike bursts increase amyloid-beta 40\/42 ratio by inducing a presenilin-1 conformational change","volume":"16","author":"Dolev","year":"2013","journal-title":"Nat. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0235","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0131209","article-title":"Loss of resting-state posterior cingulate flexibility is associated with memory disturbance in left temporal lobe epilepsy","volume":"10","author":"Douw","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2018.05.028_bb0240","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.neuroscience.2016.09.034","article-title":"State-dependent variability of dynamic functional connectivity between frontoparietal and default networks relates to cognitive flexibility","volume":"339","author":"Douw","year":"2016","journal-title":"Neuroscience"},{"key":"10.1016\/j.nicl.2018.05.028_bb0245","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.1093\/brain\/awr066","article-title":"Neuronal dysfunction and disconnection of cortical hubs in non-demented subjects with elevated amyloid burden","volume":"134","author":"Drzezga","year":"2011","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2018.05.028_bb0250","article-title":"Orthogonal, but not orthonormal, procrustes problems","author":"Everson","year":"1999","journal-title":"Imperial Coll. Tech. Rep."},{"key":"10.1016\/j.nicl.2018.05.028_bb0255","doi-asserted-by":"crossref","first-page":"306","DOI":"10.1016\/j.clinph.2005.10.017","article-title":"MEG spectral profile in Alzheimer's disease and mild cognitive impairment","volume":"117","author":"Fernandez","year":"2006","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0260","doi-asserted-by":"crossref","first-page":"3851","DOI":"10.1093\/cercor\/bhv190","article-title":"Aging effects on whole-brain functional connectivity in adults free of cognitive and psychiatric disorders","volume":"26","author":"Ferreira","year":"2016","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2018.05.028_bb0265","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1006\/nimg.1998.0396","article-title":"Cortical surface-based analysis. II: inflation, flattening, and a surface-based coordinate system","volume":"9","author":"Fischl","year":"1999","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0270","doi-asserted-by":"crossref","first-page":"9673","DOI":"10.1073\/pnas.0504136102","article-title":"The human brain is intrinsically organized into dynamic, anticorrelated functional networks","volume":"102","author":"Fox","year":"2005","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0275","doi-asserted-by":"crossref","first-page":"10046","DOI":"10.1073\/pnas.0604187103","article-title":"Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems","volume":"103","author":"Fox","year":"2006","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0280","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.neuroscience.2016.08.020","article-title":"The neurobiology of self-generated thought from cells to systems: integrating evidence from lesion studies, human intracranial electrophysiology, neurochemistry, and neuroendocrinology","volume":"335","author":"Fox","year":"2016","journal-title":"Neuroscience"},{"key":"10.1016\/j.nicl.2018.05.028_bb0285","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.1016\/j.neurobiolaging.2005.05.027","article-title":"Cortical rhythms reactivity in AD, LBD and normal subjects: a quantitative MEG study","volume":"27","author":"Franciotti","year":"2006","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.nicl.2018.05.028_bb0290","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1006\/nimg.1996.0018","article-title":"A multivariate analysis of evoked responses in EEG and MEG data","volume":"3","author":"Friston","year":"1996","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0295","series-title":"Statistical Parametric Mapping: The Analysis of Functional Brain Images","year":"2007"},{"key":"10.1016\/j.nicl.2018.05.028_bb0300","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1038\/384564a0","article-title":"From stimulus encoding to feature extraction in weakly electric fish","volume":"384","author":"Gabbiani","year":"1996","journal-title":"Nature"},{"key":"10.1016\/j.nicl.2018.05.028_bb0305","doi-asserted-by":"crossref","first-page":"1797","DOI":"10.1212\/WNL.0b013e31821ccc83","article-title":"Resting bold fMRI differentiates dementia with Lewy bodies vs Alzheimer disease","volume":"76","author":"Galvin","year":"2011","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2018.05.028_bb0310","doi-asserted-by":"crossref","first-page":"2978","DOI":"10.1002\/hbm.22379","article-title":"Functional connectivity changes differ in early and late-onset Alzheimer's disease","volume":"35","author":"Gour","year":"2014","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2018.05.028_bb0320","doi-asserted-by":"crossref","first-page":"267","DOI":"10.3389\/fnins.2013.00267","article-title":"MEG and EEG data analysis with MNE-python","volume":"7","author":"Gramfort","year":"2013","journal-title":"Front. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0325","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1016\/j.neuroimage.2013.10.027","article-title":"MNE software for processing MEG and EEG data","volume":"86","author":"Gramfort","year":"2014","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0330","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1073\/pnas.0135058100","article-title":"Functional connectivity in the resting brain: a network analysis of the default mode hypothesis","volume":"100","author":"Greicius","year":"2003","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0335","doi-asserted-by":"crossref","first-page":"4637","DOI":"10.1073\/pnas.0308627101","article-title":"Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI","volume":"101","author":"Greicius","year":"2004","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0340","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/j.neuroimage.2012.10.001","article-title":"Good practice for conducting and reporting MEG research","volume":"65","author":"Gross","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0345","doi-asserted-by":"crossref","first-page":"446","DOI":"10.1016\/j.neuroimage.2017.01.054","article-title":"Frequency-specific electrophysiologic correlates of resting state fMRI networks","volume":"149","author":"Hacker","year":"2017","journal-title":"NeuroImage"},{"issue":"5","key":"10.1016\/j.nicl.2018.05.028_bb0350","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1005543","article-title":"Spontaneous cortical activity is transiently poised close to criticality","volume":"13","author":"Hahn","year":"2017","journal-title":"PLoS Comput. Biol."},{"issue":"41","key":"10.1016\/j.nicl.2018.05.028_bb0355","doi-asserted-by":"crossref","first-page":"16039","DOI":"10.1073\/pnas.0807010105","article-title":"Electrophysiological correlates of the brain's intrinsic large-scale functional architecture","volume":"105","author":"He","year":"2008","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0360","doi-asserted-by":"crossref","first-page":"12686","DOI":"10.1523\/JNEUROSCI.3189-09.2009","article-title":"Disruption of functional connectivity in clinically normal older adults harboring amyloid burden","volume":"29","author":"Hedden","year":"2009","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0365","doi-asserted-by":"crossref","first-page":"2500","DOI":"10.1093\/cercor\/bhs248","article-title":"Effects of aging on properties of the local circuit in rat primary somatosensory cortex (S1) in vitro","volume":"23","author":"Hickmott","year":"2013","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2018.05.028_bb0370","doi-asserted-by":"crossref","first-page":"1368","DOI":"10.1016\/j.cub.2015.03.049","article-title":"BOLD fMRI correlation reflects frequency-specific neuronal correlation","volume":"25","author":"Hipp","year":"2015","journal-title":"Curr. Biol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0375","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1159\/000118986","article-title":"Segmentation of the spontaneous EEG in dementia of the Alzheimer type","volume":"27","author":"Ihl","year":"1993","journal-title":"Neuropsychobiology"},{"key":"10.1016\/j.nicl.2018.05.028_bb0380","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0012945","article-title":"Topographic electrophysiological signatures of FMRI resting state networks","volume":"5","author":"Jann","year":"2010","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2018.05.028_bb0385","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1016\/j.clinph.2007.12.002","article-title":"Global dynamical analysis of the EEG in Alzheimer's disease: frequency-specific changes of functional interactions","volume":"119","author":"Jelles","year":"2008","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0390","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1016\/j.neuroimage.2011.09.015","article-title":"Fsl","volume":"62","author":"Jenkinson","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0395","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.cortex.2014.12.001","article-title":"Resting-state anticorrelations between medial and lateral prefrontal cortex: association with working memory, aging, and individual differences","volume":"64","author":"Keller","year":"2015","journal-title":"Cortex"},{"key":"10.1016\/j.nicl.2018.05.028_bb0400","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1080\/net.14.1.103.118","article-title":"Information encoding and computation with spikes and bursts","volume":"14","author":"Kepecs","year":"2003","journal-title":"Network"},{"key":"10.1016\/j.nicl.2018.05.028_bb0405","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1002\/hbm.20153","article-title":"Parametric analysis of oscillatory activity as measured with EEG\/MEG","volume":"26","author":"Kiebel","year":"2005","journal-title":"Hum. Brain Mapp."},{"key":"10.1016\/j.nicl.2018.05.028_bb0410","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1006\/nimg.2002.1070","article-title":"Millisecond by millisecond, year by year: normative EEG microstates and developmental stages","volume":"16","author":"Koenig","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0415","first-page":"4719","article-title":"On the stability of BOLD fMRI correlations","volume":"27","author":"Laumann","year":"2017","journal-title":"Cereb. Cortex"},{"key":"10.1016\/j.nicl.2018.05.028_bb0420","doi-asserted-by":"crossref","first-page":"11606","DOI":"10.1073\/pnas.1221536110","article-title":"Intrinsic connectivity networks in healthy subjects explain clinical variability in Alzheimer's disease","volume":"110","author":"Lehmann","year":"2013","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0425","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1001\/archpsyc.1987.01800230073012","article-title":"Electroencephalographic spectra and coherence in the diagnosis of Alzheimer's-type and multi-infarct dementia. A pilot study","volume":"44","author":"Leuchter","year":"1987","journal-title":"Arch. Gen. Psychiatry"},{"key":"10.1016\/j.nicl.2018.05.028_bb0430","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/S0013-4694(97)00129-6","article-title":"EEG coherence in Alzheimer's disease","volume":"106","author":"Locatelli","year":"1998","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"issue":"3","key":"10.1016\/j.nicl.2018.05.028_bb0435","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1063\/1.1747632","article-title":"On the non-orthogonality problem connected with the use of atomic wave functions in the theory of molecules and crystals","volume":"18","author":"L\u00f6wdin","year":"1950","journal-title":"J. Chem. Phys."},{"key":"10.1016\/j.nicl.2018.05.028_bb0440","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/nimg.1997.0315","article-title":"Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations","volume":"7","author":"Lowe","year":"1998","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0445","doi-asserted-by":"crossref","first-page":"1131","DOI":"10.1001\/archneurol.2011.108","article-title":"Effect of APOE epsilon4 status on intrinsic network connectivity in cognitively normal elderly subjects","volume":"68","author":"Machulda","year":"2011","journal-title":"Arch. Neurol."},{"issue":"4","key":"10.1016\/j.nicl.2018.05.028_bb0450","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1523\/JNEUROSCI.3985-11.2012","article-title":"The amplitude and timing of the BOLD signal reflects the relationship between local field potential power at different frequencies","volume":"32","author":"Magri","year":"2012","journal-title":"J. Neurosci. Off. J. Soc. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0455","doi-asserted-by":"crossref","first-page":"13170","DOI":"10.1073\/pnas.0700668104","article-title":"Electrophysiological signatures of resting state networks in the human brain","volume":"104","author":"Mantini","year":"2007","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0460","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1126\/science.1131295","article-title":"Wandering minds: the default network and stimulus-independent thought","volume":"315","author":"Mason","year":"2007","journal-title":"Science"},{"issue":"23","key":"10.1016\/j.nicl.2018.05.028_bb0465","doi-asserted-by":"crossref","first-page":"6556","DOI":"10.1073\/pnas.1521299113","article-title":"Transient neuronal coactivations embedded in globally propagating waves underlie resting-state functional connectivity","volume":"113","author":"Matsui","year":"2016","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0470","doi-asserted-by":"crossref","first-page":"1219","DOI":"10.1093\/cercor\/bhg104","article-title":"Persistent cortical activity: mechanisms of generation and effects on neuronal excitability","volume":"13","author":"McCormick","year":"2003","journal-title":"Cereb. Cortex"},{"issue":"1","key":"10.1016\/j.nicl.2018.05.028_bb0475","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1152\/physrev.1985.65.1.37","article-title":"Current source-density method and application in cat cerebral cortex: investigation of evoked potentials and EEG phenomena","volume":"65","author":"Mitzdorf","year":"1985","journal-title":"Physiol. Rev."},{"issue":"33","key":"10.1016\/j.nicl.2018.05.028_bb0480","doi-asserted-by":"crossref","first-page":"8268","DOI":"10.1523\/JNEUROSCI.1910-08.2008","article-title":"Very slow EEG fluctuations predict the dynamics of stimulus detection and oscillation amplitudes in humans","volume":"28","author":"Monto","year":"2008","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0485","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1016\/j.neuroimage.2010.01.093","article-title":"Spontaneous brain activity and EEG microstates. A novel EEG\/fMRI analysis approach to explore resting-state networks","volume":"52","author":"Musso","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0490","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.neuroimage.2016.03.029","article-title":"Reduced functional segregation between the default mode network and the executive control network in healthy older adults: a longitudinal study","volume":"133","author":"Ng","year":"2016","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0495","doi-asserted-by":"crossref","first-page":"R271","DOI":"10.1088\/0031-9155\/60\/21\/R271","article-title":"Measuring electrophysiological connectivity by power envelope correlation: a technical review on MEG methods","volume":"60","author":"O'Neill","year":"2015","journal-title":"Phys. Med. Biol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0500","first-page":"156869","article-title":"FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data","author":"Oostenveld","year":"2011","journal-title":"Comput. Intell. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0505","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1002\/hipo.450010206","article-title":"Learning-related patterns of CA1 spike trains parallel stimulation parameters optimal for inducing hippocampal long-term potentiation","volume":"1","author":"Otto","year":"1991","journal-title":"Hippocampus"},{"key":"10.1016\/j.nicl.2018.05.028_bb0510","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/j.neuroimage.2013.02.035","article-title":"Infraslow LFP correlates to resting-state fMRI BOLD signals","volume":"74","author":"Pan","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0515","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1212\/WNL.0b013e31820af94e","article-title":"Default mode network connectivity in stable vs progressive mild cognitive impairment","volume":"76","author":"Petrella","year":"2011","journal-title":"Neurology"},{"key":"10.1016\/j.nicl.2018.05.028_bb0520","first-page":"6180","article-title":"Analysis of spontaneous MEG activity in patients with Alzheimer's disease using spectral entropies","volume":"2007","author":"Poza","year":"2007","journal-title":"Conf. Proc. IEEE Eng. Med. Biol. Soc."},{"key":"10.1016\/j.nicl.2018.05.028_bb0525","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.cmpb.2007.12.004","article-title":"Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease","volume":"90","author":"Poza","year":"2008","journal-title":"Comput. Methods Prog. Biomed."},{"key":"10.1016\/j.nicl.2018.05.028_bb0530","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1136\/practneurol-2013-000768","article-title":"Magnetoencephalography","volume":"14","author":"Proudfoot","year":"2014","journal-title":"Pract. Neurol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0535","series-title":"Probabilistic Modeling in Bioinformatics and Medical Informatics","first-page":"419","article-title":"Ensemble hidden markov models with extended observation densities for biosignal analysis","author":"Rezek","year":"2005"},{"key":"10.1016\/j.nicl.2018.05.028_bb0540","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.conb.2014.10.014","article-title":"The heavy tail of the human brain","volume":"31","author":"Roberts","year":"2015","journal-title":"Curr. Opin. Neurobiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0545","doi-asserted-by":"crossref","first-page":"1831","DOI":"10.1016\/S1388-2457(99)00123-6","article-title":"EEG spectral profile to stage Alzheimer's disease","volume":"110","author":"Rodriguez","year":"1999","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0550","series-title":"Resting State Brain Networks From EEG: Hidden Markov States vs. Classical Microstates","author":"Rukat","year":"2016"},{"issue":"16","key":"10.1016\/j.nicl.2018.05.028_bb0555","doi-asserted-by":"crossref","first-page":"4323","DOI":"10.1523\/JNEUROSCI.3263-16.2017","article-title":"Phases of hyper and hypo connectivity in the default mode and salience networks track with amyloid and tau in clinically normal individuals","volume":"37","author":"Schultz","year":"2017","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0560","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1109\/10.930901","article-title":"Reconstructing spatio-temporal activities of neural sources using an MEG vector beamformer technique","volume":"48","author":"Sekihara","year":"2001","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.nicl.2018.05.028_bb0565","doi-asserted-by":"crossref","first-page":"1755","DOI":"10.1109\/TBME.2006.878119","article-title":"A novel adaptive beamformer for MEG source reconstruction effective when large background brain activities exist","volume":"53","author":"Sekihara","year":"2006","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"10.1016\/j.nicl.2018.05.028_bb0570","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1186\/s12883-014-0204-1","article-title":"The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing","volume":"14","author":"Shafto","year":"2014","journal-title":"BMC Neurol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0575","doi-asserted-by":"crossref","first-page":"17035","DOI":"10.1523\/JNEUROSCI.3987-10.2010","article-title":"APOE4 allele disrupts resting state fMRI connectivity in the absence of amyloid plaques or decreased CSF Abeta42","volume":"30","author":"Sheline","year":"2010","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0580","doi-asserted-by":"crossref","first-page":"584","DOI":"10.1016\/j.biopsych.2009.08.024","article-title":"Amyloid plaques disrupt resting state default mode network connectivity in cognitively normal elderly","volume":"67","author":"Sheline","year":"2010","journal-title":"Biol. Psychiatry"},{"key":"10.1016\/j.nicl.2018.05.028_bb0585","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1016\/j.tics.2013.09.006","article-title":"Cortical dynamics revisited","volume":"17","author":"Singer","year":"2013","journal-title":"Trends Cogn. Sci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0590","doi-asserted-by":"crossref","first-page":"3865","DOI":"10.1097\/00001756-200011270-00052","article-title":"Effect of age on burst firing characteristics of rat hippocampal pyramidal cells","volume":"11","author":"Smith","year":"2000","journal-title":"Neuroreport"},{"key":"10.1016\/j.nicl.2018.05.028_bb0595","doi-asserted-by":"crossref","first-page":"3131","DOI":"10.1073\/pnas.1121329109","article-title":"Temporally-independent functional modes of spontaneous brain activity","volume":"109","author":"Smith","year":"2012","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"issue":"3","key":"10.1016\/j.nicl.2018.05.028_bb0600","doi-asserted-by":"crossref","first-page":"247","DOI":"10.31887\/DCNS.2013.15.3\/osporns","article-title":"Structure and function of complex brain networks","volume":"15","author":"Sporns","year":"2013","journal-title":"Dialogues Clin. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0605","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0001049","article-title":"Identification and classification of hubs in brain networks","volume":"2","author":"Sporns","year":"2007","journal-title":"PLoS One"},{"key":"10.1016\/j.nicl.2018.05.028_bb0610","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1162\/jocn.2008.21029","article-title":"The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: a quantitative meta-analysis","volume":"21","author":"Spreng","year":"2009","journal-title":"J. Cogn. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0615","doi-asserted-by":"crossref","first-page":"562","DOI":"10.1097\/00004691-200212000-00010","article-title":"Generalized synchronization of MEG recordings in Alzheimer's disease: evidence for involvement of the gamma band","volume":"19","author":"Stam","year":"2002","journal-title":"J. Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0620","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1016\/j.clinph.2004.09.022","article-title":"Disturbed fluctuations of resting state EEG synchronization in Alzheimer's disease","volume":"116","author":"Stam","year":"2005","journal-title":"Clin. Neurophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0625","doi-asserted-by":"crossref","first-page":"1335","DOI":"10.1016\/j.neuroimage.2006.05.033","article-title":"Magnetoencephalographic evaluation of resting-state functional connectivity in Alzheimer's disease","volume":"32","author":"Stam","year":"2006","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0630","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1093\/brain\/awn262","article-title":"Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer's disease","volume":"132","author":"Stam","year":"2009","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2018.05.028_bb0635","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1007\/s004060050047","article-title":"Cognitive decline unlike normal aging is associated with alterations of EEG temporo-spatial characteristics","volume":"248","author":"Stevens","year":"1998","journal-title":"Eur. Arch. Psychiatry Clin. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0640","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/S0925-4927(97)00054-1","article-title":"Decreased EEG microstate duration and anteriorisation of the brain electrical fields in mild and moderate dementia of the Alzheimer type","volume":"75","author":"Strik","year":"1997","journal-title":"Psychiatry Res."},{"issue":"37","key":"10.1016\/j.nicl.2018.05.028_bb0645","doi-asserted-by":"crossref","first-page":"9659","DOI":"10.1523\/JNEUROSCI.1492-16.2016","article-title":"Youthful brains in older adults: preserved neuroanatomy in the default mode and salience networks contributes to youthful memory in superaging","volume":"36","author":"Sun","year":"2016","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0650","doi-asserted-by":"crossref","first-page":"1759","DOI":"10.1088\/0031-9155\/51\/7\/008","article-title":"Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements","volume":"51","author":"Taulu","year":"2006","journal-title":"Phys. Med. Biol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0655","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1023\/B:BRAT.0000032864.93890.f9","article-title":"Suppression of interference and artifacts by the signal space separation method","volume":"16","author":"Taulu","year":"2004","journal-title":"Brain Topogr."},{"issue":"Pt B","key":"10.1016\/j.nicl.2018.05.028_bb0660","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.neuroimage.2015.09.018","article-title":"The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample","volume":"144","author":"Taylor","year":"2017","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0665","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/j.neuroimage.2014.07.015","article-title":"Discrimination of cortical laminae using MEG","volume":"102","author":"Troebinger","year":"2014","journal-title":"NeuroImage"},{"issue":"2","key":"10.1016\/j.nicl.2018.05.028_bb0670","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/BF02534144","article-title":"Signal-space projection method for separating MEG or EEG into components","volume":"35","author":"Uusitalo","year":"1997","journal-title":"Med. Biol. Eng. Comput."},{"key":"10.1016\/j.nicl.2018.05.028_bb0675","doi-asserted-by":"crossref","first-page":"1424","DOI":"10.1006\/nimg.2001.0915","article-title":"Detecting and correcting for head movements in neuromagnetic measurements","volume":"14","author":"Uutela","year":"2001","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0680","doi-asserted-by":"crossref","first-page":"18179","DOI":"10.1073\/pnas.1007841107","article-title":"EEG microstate sequences in healthy humans at rest reveal scale-free dynamics","volume":"107","author":"Van de Ville","year":"2010","journal-title":"Proc. Natl. Acad. Sci. U. S. A."},{"key":"10.1016\/j.nicl.2018.05.028_bb0690","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.neuroimage.2013.05.041","article-title":"The WU-Minn human connectome project: an overview","volume":"80","author":"Van Essen","year":"2013","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0695","doi-asserted-by":"crossref","first-page":"867","DOI":"10.1109\/10.623056","article-title":"Localization of brain electrical activity via linearly constrained minimum variance spatial filtering","volume":"44","author":"Van Veen","year":"1997","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.nicl.2018.05.028_bb0700","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.jphysparis.2012.01.001","article-title":"Markov models for fMRI correlation structure: is brain functional connectivity small world, or decomposable into networks?","volume":"106","author":"Varoquaux","year":"2012","journal-title":"J. Physiol. Paris"},{"key":"10.1016\/j.nicl.2018.05.028_bb0705","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1006\/meth.2001.1238","article-title":"Signal processing in magnetoencephalography","volume":"25","author":"Vrba","year":"2001","journal-title":"Methods"},{"issue":"3","key":"10.1016\/j.nicl.2018.05.028_bb0710","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/0167-8760(93)90041-M","article-title":"Adaptive segmentation of spontaneous EEG map series into spatially defined microstates","volume":"14","author":"Wackermann","year":"1993","journal-title":"Int. J. Psychophysiol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0715","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/s004060050038","article-title":"Abnormal functional connectivity in Alzheimer's disease: intrahemispheric EEG coherence during rest and photic stimulation","volume":"248","author":"Wada","year":"1998","journal-title":"Eur. Arch. Psychiatry Clin. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0720","first-page":"1242","article-title":"Cerebrospinal fluid Abeta42, phosphorylated Tau181, and resting-state functional connectivity","volume":"70","author":"Wang","year":"2013","journal-title":"JAMA Neurol."},{"key":"10.1016\/j.nicl.2018.05.028_bb0725","doi-asserted-by":"crossref","first-page":"7775","DOI":"10.1523\/JNEUROSCI.1230-11.2011","article-title":"Increased hippocampal default mode synchronization during rest in middle-aged and elderly APOE epsilon4 carriers: relationships with memory performance","volume":"31","author":"Westlye","year":"2011","journal-title":"J. Neurosci."},{"key":"10.1016\/j.nicl.2018.05.028_bb0730","doi-asserted-by":"crossref","first-page":"1466","DOI":"10.1016\/j.neuroimage.2011.04.041","article-title":"MEG beamforming using Bayesian PCA for adaptive data covariance matrix regularization","volume":"57","author":"Woolrich","year":"2011","journal-title":"NeuroImage"},{"issue":"3","key":"10.1016\/j.nicl.2018.05.028_bb0735","doi-asserted-by":"crossref","first-page":"1125","DOI":"10.1152\/jn.00338.2011","article-title":"The organization of the human cerebral cortex estimated by intrinsic functional connectivity","volume":"106","author":"Yeo","year":"2011","journal-title":"J. Neurophysiol."},{"issue":"5","key":"10.1016\/j.nicl.2018.05.028_bb0740","doi-asserted-by":"crossref","first-page":"1466","DOI":"10.1093\/brain\/awx050","article-title":"Selective impairment of hippocampus and posterior hub areas in Alzheimer's disease: an MEG-based multiplex network study","volume":"140","author":"Yu","year":"2017","journal-title":"Brain"},{"key":"10.1016\/j.nicl.2018.05.028_bb0745","doi-asserted-by":"crossref","first-page":"2062","DOI":"10.1016\/j.neuroimage.2012.02.031","article-title":"Spatiotemporal dynamics of the brain at rest\u2014exploring EEG microstates as electrophysiological signatures of BOLD resting state networks","volume":"60","author":"Yuan","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.nicl.2018.05.028_bb0750","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1148\/radiol.10091701","article-title":"Resting brain connectivity: changes during the progress of Alzheimer disease","volume":"256","author":"Zhang","year":"2010","journal-title":"Radiology"},{"key":"10.1016\/j.nicl.2018.05.028_bb0755","doi-asserted-by":"crossref","first-page":"1352","DOI":"10.1093\/brain\/awq075","article-title":"Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease","volume":"133","author":"Zhou","year":"2010","journal-title":"Brain"}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158218301748?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158218301748?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T04:21:39Z","timestamp":1761970899000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158218301748"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":149,"alternative-id":["S2213158218301748"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2018.05.028","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Short timescale abnormalities in the states of spontaneous synchrony in the functional neural networks in Alzheimer's disease","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2018.05.028","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2018 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}