BOLD correlates of EEG topography reveal rapid resting-state network dynamics
Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable glo...
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| Published in | NeuroImage (Orlando, Fla.) Vol. 52; no. 4; pp. 1162 - 1170 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
01.10.2010
Elsevier Limited |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1053-8119 1095-9572 1095-9572 |
| DOI | 10.1016/j.neuroimage.2010.02.052 |
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| Abstract | Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable global brain states (so-called microstates), but they remain quasi-stationary for only about 100ms. In order to test the relationship between the rapidly fluctuating EEG-defined microstates and the slowly oscillating fMRI-defined resting states, we recorded 64-channel EEG in the scanner while subjects were at rest with their eyes closed. Conventional EEG-microstate analysis determined the typical four EEG topographies that dominated across all subjects. The convolution of the time course of these maps with the hemodynamic response function allowed to fit a linear model to the fMRI BOLD responses and revealed four distinct distributed networks. These networks were spatially correlated with four of the resting-state networks (RSNs) that were found by the conventional fMRI group-level independent component analysis (ICA). These RSNs have previously been attributed to phonological processing, visual imagery, attention reorientation, and subjective interoceptive–autonomic processing. We found no EEG-correlate of the default mode network. Thus, the four typical microstates of the spontaneous EEG seem to represent the neurophysiological correlate of four of the RSNs and show that they are fluctuating much more rapidly than fMRI alone suggests. |
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| AbstractList | Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10 s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable global brain states (so-called microstates), but they remain quasi-stationary for only about 100 ms. In order to test the relationship between the rapidly fluctuating EEG-defined microstates and the slowly oscillating fMRI-defined resting states, we recorded 64-channel EEG in the scanner while subjects were at rest with their eyes closed. Conventional EEG-microstate analysis determined the typical four EEG topographies that dominated across all subjects. The convolution of the time course of these maps with the hemodynamic response function allowed to fit a linear model to the fMRI BOLD responses and revealed four distinct distributed networks. These networks were spatially correlated with four of the resting-state networks (RSNs) that were found by the conventional fMRI group-level independent component analysis (ICA). These RSNs have previously been attributed to phonological processing, visual imagery, attention reorientation, and subjective interoceptive-autonomic processing. We found no EEG-correlate of the default mode network. Thus, the four typical microstates of the spontaneous EEG seem to represent the neurophysiological correlate of four of the RSNs and show that they are fluctuating much more rapidly than fMRI alone suggests. Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable global brain states (so-called microstates), but they remain quasi-stationary for only about 100ms. In order to test the relationship between the rapidly fluctuating EEG-defined microstates and the slowly oscillating fMRI-defined resting states, we recorded 64-channel EEG in the scanner while subjects were at rest with their eyes closed. Conventional EEG-microstate analysis determined the typical four EEG topographies that dominated across all subjects. The convolution of the time course of these maps with the hemodynamic response function allowed to fit a linear model to the fMRI BOLD responses and revealed four distinct distributed networks. These networks were spatially correlated with four of the resting-state networks (RSNs) that were found by the conventional fMRI group-level independent component analysis (ICA). These RSNs have previously been attributed to phonological processing, visual imagery, attention reorientation, and subjective interoceptive–autonomic processing. We found no EEG-correlate of the default mode network. Thus, the four typical microstates of the spontaneous EEG seem to represent the neurophysiological correlate of four of the RSNs and show that they are fluctuating much more rapidly than fMRI alone suggests. Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable global brain states (so-called microstates), but they remain quasi-stationary for only about 100 ms. In order to test the relationship between the rapidly fluctuating EEG-defined microstates and the slowly oscillating fMRI-defined resting states, we recorded 64-channel EEG in the scanner while subjects were at rest with their eyes closed. Conventional EEG-microstate analysis determined the typical four EEG topographies that dominated across all subjects. The convolution of the time course of these maps with the hemodynamic response function allowed to fit a linear model to the fMRI BOLD responses and revealed four distinct distributed networks. These networks were spatially correlated with four of the resting-state networks (RSNs) that were found by the conventional fMRI group-level independent component analysis (ICA). These RSNs have previously been attributed to phonological processing, visual imagery, attention reorientation, and subjective interoceptive-autonomic processing. We found no EEG-correlate of the default mode network. Thus, the four typical microstates of the spontaneous EEG seem to represent the neurophysiological correlate of four of the RSNs and show that they are fluctuating much more rapidly than fMRI alone suggests.Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable global brain states (so-called microstates), but they remain quasi-stationary for only about 100 ms. In order to test the relationship between the rapidly fluctuating EEG-defined microstates and the slowly oscillating fMRI-defined resting states, we recorded 64-channel EEG in the scanner while subjects were at rest with their eyes closed. Conventional EEG-microstate analysis determined the typical four EEG topographies that dominated across all subjects. The convolution of the time course of these maps with the hemodynamic response function allowed to fit a linear model to the fMRI BOLD responses and revealed four distinct distributed networks. These networks were spatially correlated with four of the resting-state networks (RSNs) that were found by the conventional fMRI group-level independent component analysis (ICA). These RSNs have previously been attributed to phonological processing, visual imagery, attention reorientation, and subjective interoceptive-autonomic processing. We found no EEG-correlate of the default mode network. Thus, the four typical microstates of the spontaneous EEG seem to represent the neurophysiological correlate of four of the RSNs and show that they are fluctuating much more rapidly than fMRI alone suggests. Resting-state functional connectivity studies with fMRI showed that the brain is intrinsically organized into large-scale functional networks for which the hemodynamic signature is stable for about 10s. Spatial analyses of the topography of the spontaneous EEG also show discrete epochs of stable global brain states (so-called microstates), but they remain quasi-stationary for only about 100 ms. In order to test the relationship between the rapidly fluctuating EEG-defined microstates and the slowly oscillating fMRI-defined resting states, we recorded 64-channel EEG in the scanner while subjects were at rest with their eyes closed. Conventional EEG-microstate analysis determined the typical four EEG topographies that dominated across all subjects. The convolution of the time course of these maps with the hemodynamic response function allowed to fit a linear model to the fMRI BOLD responses and revealed four distinct distributed networks. These networks were spatially correlated with four of the resting-state networks (RSNs) that were found by the conventional fMRI group-level independent component analysis (ICA). These RSNs have previously been attributed to phonological processing, visual imagery, attention reorientation, and subjective interoceptive-autonomic processing. We found no EEG-correlate of the default mode network. Thus, the four typical microstates of the spontaneous EEG seem to represent the neurophysiological correlate of four of the RSNs and show that they are fluctuating much more rapidly than fMRI alone suggests. |
| Author | Michel, Christoph M. Britz, Juliane Van De Ville, Dimitri |
| Author_xml | – sequence: 1 givenname: Juliane surname: Britz fullname: Britz, Juliane email: Juliane.Britz@unige.ch organization: Department of Fundamental Neuroscience, University of Geneva, Switzerland – sequence: 2 givenname: Dimitri surname: Van De Ville fullname: Van De Ville, Dimitri organization: Department of Radiology and Medical Informatics, University of Geneva, Switzerland – sequence: 3 givenname: Christoph M. surname: Michel fullname: Michel, Christoph M. organization: Department of Fundamental Neuroscience, University of Geneva, Switzerland |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/20188188$$D View this record in MEDLINE/PubMed |
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crossref_primary_10_1371_journal_pone_0114163 crossref_primary_10_1177_1073858417728032 crossref_primary_10_1016_j_neuroimage_2017_09_065 crossref_primary_10_1093_cercor_bhs416 crossref_primary_10_1016_j_bpsc_2024_11_012 crossref_primary_10_1017_dsj_2020_28 crossref_primary_10_1007_s10548_023_01011_5 crossref_primary_10_1016_j_schres_2017_06_044 crossref_primary_10_3389_fnhum_2024_1372985 crossref_primary_10_1016_j_neuroimage_2021_117760 crossref_primary_10_1088_1741_2552_ab9ada crossref_primary_10_1016_j_aap_2024_107769 crossref_primary_10_1016_j_neuroimage_2021_118850 crossref_primary_10_1155_2018_9270685 crossref_primary_10_1007_s10548_024_01077_9 crossref_primary_10_3390_brainsci12121731 crossref_primary_10_1089_brain_2014_0336 crossref_primary_10_3346_jkms_2017_32_3_514 crossref_primary_10_1038_s41598_020_72590_7 crossref_primary_10_3389_fnins_2023_1145065 crossref_primary_10_3389_fpsyg_2023_1109949 crossref_primary_10_1016_j_neuroimage_2016_07_050 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crossref_primary_10_3389_fnins_2023_1123466 crossref_primary_10_1038_s41531_023_00508_x crossref_primary_10_3389_fpsyt_2022_853602 crossref_primary_10_3389_fnhum_2021_626507 crossref_primary_10_3389_fnins_2023_1247290 crossref_primary_10_3389_fpsyt_2016_00022 crossref_primary_10_1007_s10548_023_00987_4 crossref_primary_10_1016_j_neuroimage_2018_09_082 crossref_primary_10_3389_fnsys_2014_00234 crossref_primary_10_1109_TMI_2024_3453377 crossref_primary_10_1016_j_psychres_2021_113866 crossref_primary_10_1111_epi_17893 crossref_primary_10_1007_s10548_023_01030_2 crossref_primary_10_1111_epi_17897 crossref_primary_10_1016_j_clinph_2010_10_042 crossref_primary_10_1162_imag_a_00272 crossref_primary_10_3389_fpsyt_2020_537981 crossref_primary_10_3390_biomedicines10102428 crossref_primary_10_1093_brain_awz069 crossref_primary_10_1016_j_scog_2015_04_005 crossref_primary_10_3389_fpsyt_2022_1008007 crossref_primary_10_1088_1741_2552_ac4595 crossref_primary_10_3389_fnhum_2021_795237 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crossref_primary_10_1007_s10548_017_0572_0 crossref_primary_10_1038_ncomms10340 crossref_primary_10_1088_1741_2552_acc2e9 crossref_primary_10_1016_j_neuroimage_2015_08_023 crossref_primary_10_1038_s41598_021_95749_2 crossref_primary_10_1089_brain_2017_0543 crossref_primary_10_1016_j_neuroimage_2025_121159 crossref_primary_10_1038_s41537_023_00419_z crossref_primary_10_1016_j_neuroimage_2025_121152 crossref_primary_10_1016_j_nlm_2021_107424 crossref_primary_10_1007_s10548_016_0539_6 crossref_primary_10_1136_gpsych_2023_101171 crossref_primary_10_1080_21678421_2022_2152696 crossref_primary_10_1097_j_pain_0000000000003546 crossref_primary_10_1093_cercor_bhs047 crossref_primary_10_1007_s10548_021_00861_1 crossref_primary_10_3390_brainsci14050487 crossref_primary_10_1016_j_neuroimage_2013_04_010 crossref_primary_10_31887_DCNS_2013_15_3_cmulert crossref_primary_10_1007_s10339_014_0637_x crossref_primary_10_3389_fnins_2019_01430 crossref_primary_10_1016_j_clinph_2011_12_019 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| Cites_doi | 10.1016/j.neuroimage.2004.11.048 10.1038/nrn755 10.1007/BF01128876 10.1006/nimg.2000.0599 10.1016/0165-0173(94)00016-I 10.1016/S1364-6613(00)01464-9 10.1002/1097-0193(200007)10:3<120::AID-HBM30>3.0.CO;2-8 10.1016/j.neuroimage.2009.01.070 10.1016/0167-8760(93)90041-M 10.1038/nature05758 10.1152/jn.00263.2005 10.1073/pnas.0800005105 10.1073/pnas.1831638100 10.1016/j.neuroimage.2009.01.001 10.1002/hbm.10022 10.1152/jn.2001.86.1.1 10.1523/JNEUROSCI.2699-08.2008 10.1002/hbm.20705 10.1002/hbm.20581 10.1126/science.1128115 10.1016/S1053-8119(03)00169-1 10.1007/s10548-007-0024-3 10.1002/mrm.1910340409 10.1093/cercor/bhi025 10.1016/0013-4694(93)90016-O 10.1006/nimg.2002.1070 10.1006/nimg.1998.0361 10.1098/rstb.2005.1634 10.1126/science.1131295 10.1073/pnas.0601417103 10.1109/10.391164 10.1016/j.neuron.2009.03.024 10.1016/0013-4694(80)90419-8 10.1093/cercor/bhn055 10.1016/0301-0082(84)90003-0 10.1073/pnas.0604187103 10.1016/S0167-8760(97)00098-6 10.1093/cercor/13.4.422 10.1016/S0010-0277(00)00123-2 10.1016/j.tins.2008.09.012 10.1007/s10548-009-0080-y 10.1002/hbm.1048 10.1038/35084005 10.1016/j.neuroimage.2006.01.012 10.1016/S1364-6613(00)01819-2 10.1007/s10548-008-0054-5 10.1038/nn.2177 10.1007/s10339-006-0035-0 10.1098/rstb.2005.1649 10.1097/00001756-200212200-00022 10.1002/(SICI)1097-0193(1998)6:5/6<368::AID-HBM7>3.0.CO;2-E 10.4249/scholarpedia.7632 10.1073/pnas.0704380104 10.1073/pnas.0504136102 10.1111/j.1528-1167.2008.01509.x 10.1371/journal.pbio.0060159 10.1016/j.neuroimage.2007.02.041 10.1016/j.ijpsycho.2005.12.015 10.1073/pnas.0700668104 10.1162/neco.1995.7.6.1129 10.1198/106186005X59243 10.1126/science.1099745 10.1073/pnas.1332574100 10.1016/j.ijpsycho.2005.12.008 10.1523/JNEUROSCI.5587-06.2007 10.1093/cercor/bhn056 10.1126/science.3059497 10.1196/annals.1417.015 10.1016/j.clinph.2008.07.284 |
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| References | Fox, Corbetta, Snyder, Vincent, Raichle (bib25) 2006; 103 Fransson, Skiöld, Horsch, Nordell, Blennow, Lagercrantz, Aden (bib26) 2007; 104 Calhoun, Kiehl, Pearlson (bib15) 2008; 29 Changeux, Michel (bib17) 2004 McKeown, Sejnowski (bib51) 1998; 6 Mohr, Michel, Lantz, Ortigue, Viaud-Delmon, Landis (bib52) 2005; 15 Maldjian, Laurienti, Kraft, Burdette (bib48) 2003; 19 Hampson, Peterson, Skudlarski, Gatenby, Gore (bib32) 2002; 15 Taylor, Seminowicz, Davis (bib66) 2009; 30 Jann, Dierks, Boesch, Kottlow, Strik, Koenig (bib33) 2009; 45 Schroeder, Lakatos (bib58) 2009; 22 Britz, Landis, Michel (bib12) 2009; 19 Patel, Van De Ville, DuBois Bowman (bib56) 2006; 31 Schroeder, Lakatos (bib59) 2009; 32 Fox, Snyder, Vincent, Corbetta, Van Essen, Raichle (bib24) 2005; 102 Lehmann, Skrandies (bib41) 1980; 48 Steriade (bib63) 2001; 86 Laufs, Krakow, Sterzer, Eger, Beyerle, Salek-Haddadi, Kleinschmidt (bib39) 2003; 100 Fuster (bib27) 2006; 60 Fingelkurts, Fingelkurts (bib23) 2006; 7 Pascual-Marqui, Michel, Lehmann (bib55) 1995; 42 Allen, Polizzi, Krakow, Fish, Lemieux (bib1) 1998; 8 Corbetta, Shulman (bib18) 2002; 3 Boly, Phillips, Tshibanda, Vanhaudenhuyse, Schabus, Dang-Vu, Moonen, Hustinx, Maquet, Laureys (bib9) 2008; 1129 Mantini, Perrucci, Del Gratta, Romani, Corbetta (bib49) 2007; 104 Raichle, Snyder (bib57) 2007; 37 Tyvaert, LeVan, Grova, Dubeau, Gotman (bib68) 2008; 119 Lehmann, Strik, Henggeler, Koenig, Koukkou (bib43) 1998; 29 Gotman (bib29) 2008; 49 Buzsaki, Draguhn (bib13) 2004; 304 Seeley, Crawford, Zhou, Miller, Greicius (bib61) 2009; 62 Wackermann, Lehmann, Michel, Strik (bib71) 1993; 14 Llinas (bib46) 1988; 242 Strik, Lehmann (bib64) 1993; 87 Allen, Josephs, Turner (bib2) 2000; 12 Lehmann (bib40) 1990; 3 Lehmann, Skrandies (bib42) 1984; 23 Mason, Norton, Van Horn, Wegner, Grafton, Macrae (bib50) 2007; 315 Leopold, Murayama, Logothetis (bib45) 2003; 13 Taylor, Seminowicz, Davis (bib65) 2009; 9999 Vulliemoz, Thornton, Rodionov, Carmichael, Guye, Lhatoo, McEvoy, Spinelli, Michel, Duncan, Lemieux (bib70) 2009; 46 Bollimunta, Chen, Schroeder, Ding (bib8) 2008; 28 Hagmann, Cammoun, Gigandet, Meuli, Honey, Wedeen, Sporns (bib31) 2008; 6 Beckmann, DeLuca, Devlin, Smith (bib5) 2005; 360 Bell, Sejnowski (bib6) 1995; 7 Dehaene, Sergent, Changeux (bib22) 2003; 100 Murray, Brunet, Michel (bib53) 2008; 20 Baars (bib4) 2002; 6 Sridharan, Levitin, Menon (bib62) 2008; 105 Damoiseaux, Rombouts, Barkhof, Scheltens, Stam, Smith, Beckmann (bib19) 2006; 103 Dehaene, Naccache (bib21) 2001; 79 Lancaster, Woldorff, Parsons, Liotti, Freitas, Rainey, Kochunov, Nickerson, Mikiten, Fox (bib38) 2000; 10 Lakatos, Shah, Knuth, Ulbert, Karmos, Schroeder (bib37) 2005; 94 Lehmann, Pascual-Marqui, Michel (bib44) 2009; 4 Vincent, Patel, Fox, Snyder, Baker, Van Essen, Zempel, Snyder, Corbetta, Raichle (bib69) 2007; 447 D'Argembeau, Collette, Van der Linden, Laureys, Del Fiore, Degueldre, Luxen, Salmon (bib20) 2005; 25 Goldman, Stern, Engel, Cohen (bib28) 2002; 13 Biswal, Yetkin, Haughton, Hyde (bib7) 1995; 34 Katayama, Gianotti, Isotani, Faber, Sasada, Kinoshita, Lehmann (bib34) 2007; 20 Seeley, Menon, Schatzberg, Keller, Glover, Kenna, Reiss, Greicius (bib60) 2007; 27 Koenig, Prichep, Lehmann, Sosa, Braeker, Kleinlogel, Isenhart, John (bib35) 2002; 16 Nir, Mukamel, Dinstein, Privman, Harel, Fisch, Gelbard-Sagiv, Kipervasser, Andelman, Neufeld, Kramer, Arieli, Fried, Malach (bib54) 2008; 11 Tibshirani, Walther (bib67) 2005; 14 Young, McNaughton (bib72) 2009; 19 Baars (bib3) 1997 Grossberg (bib30) 2000; 4 Koenig, Studer, Hubl, Melie, Strik (bib36) 2005; 360 Logothetis, Pauls, Augath, Trinath, Oeltermann (bib47) 2001; 412 Bressler (bib10) 1995; 20 Canolty, Edwards, Dalal, Soltani, Nagarajan, Kirsch, Berger, Barbaro, Knight (bib16) 2006; 313 Bressler, Tognoli (bib11) 2006; 60 Calhoun, Adali, Pearlson, Pekar (bib14) 2001; 14 Logothetis (10.1016/j.neuroimage.2010.02.052_bib47) 2001; 412 Tibshirani (10.1016/j.neuroimage.2010.02.052_bib67) 2005; 14 Raichle (10.1016/j.neuroimage.2010.02.052_bib57) 2007; 37 Bell (10.1016/j.neuroimage.2010.02.052_bib6) 1995; 7 Fransson (10.1016/j.neuroimage.2010.02.052_bib26) 2007; 104 Gotman (10.1016/j.neuroimage.2010.02.052_bib29) 2008; 49 Lehmann (10.1016/j.neuroimage.2010.02.052_bib41) 1980; 48 Dehaene (10.1016/j.neuroimage.2010.02.052_bib22) 2003; 100 Bollimunta (10.1016/j.neuroimage.2010.02.052_bib8) 2008; 28 Taylor (10.1016/j.neuroimage.2010.02.052_bib65) 2009; 9999 Vincent (10.1016/j.neuroimage.2010.02.052_bib69) 2007; 447 Taylor (10.1016/j.neuroimage.2010.02.052_bib66) 2009; 30 Allen (10.1016/j.neuroimage.2010.02.052_bib2) 2000; 12 Lehmann (10.1016/j.neuroimage.2010.02.052_bib43) 1998; 29 Fox (10.1016/j.neuroimage.2010.02.052_bib24) 2005; 102 Grossberg (10.1016/j.neuroimage.2010.02.052_bib30) 2000; 4 Mason (10.1016/j.neuroimage.2010.02.052_bib50) 2007; 315 Koenig (10.1016/j.neuroimage.2010.02.052_bib36) 2005; 360 Lakatos (10.1016/j.neuroimage.2010.02.052_bib37) 2005; 94 Tyvaert (10.1016/j.neuroimage.2010.02.052_bib68) 2008; 119 Changeux (10.1016/j.neuroimage.2010.02.052_bib17) 2004 Leopold (10.1016/j.neuroimage.2010.02.052_bib45) 2003; 13 Allen (10.1016/j.neuroimage.2010.02.052_bib1) 1998; 8 Calhoun (10.1016/j.neuroimage.2010.02.052_bib15) 2008; 29 Nir (10.1016/j.neuroimage.2010.02.052_bib54) 2008; 11 Boly (10.1016/j.neuroimage.2010.02.052_bib9) 2008; 1129 Seeley (10.1016/j.neuroimage.2010.02.052_bib60) 2007; 27 Mantini (10.1016/j.neuroimage.2010.02.052_bib49) 2007; 104 Vulliemoz (10.1016/j.neuroimage.2010.02.052_bib70) 2009; 46 Wackermann (10.1016/j.neuroimage.2010.02.052_bib71) 1993; 14 Baars (10.1016/j.neuroimage.2010.02.052_bib3) 1997 Lehmann (10.1016/j.neuroimage.2010.02.052_bib40) 1990; 3 Bressler (10.1016/j.neuroimage.2010.02.052_bib10) 1995; 20 Fuster (10.1016/j.neuroimage.2010.02.052_bib27) 2006; 60 Schroeder (10.1016/j.neuroimage.2010.02.052_bib58) 2009; 22 Fox (10.1016/j.neuroimage.2010.02.052_bib25) 2006; 103 Katayama (10.1016/j.neuroimage.2010.02.052_bib34) 2007; 20 Beckmann (10.1016/j.neuroimage.2010.02.052_bib5) 2005; 360 D'Argembeau (10.1016/j.neuroimage.2010.02.052_bib20) 2005; 25 Dehaene (10.1016/j.neuroimage.2010.02.052_bib21) 2001; 79 Llinas (10.1016/j.neuroimage.2010.02.052_bib46) 1988; 242 Mohr (10.1016/j.neuroimage.2010.02.052_bib52) 2005; 15 Young (10.1016/j.neuroimage.2010.02.052_bib72) 2009; 19 Hampson (10.1016/j.neuroimage.2010.02.052_bib32) 2002; 15 Britz (10.1016/j.neuroimage.2010.02.052_bib12) 2009; 19 Lancaster (10.1016/j.neuroimage.2010.02.052_bib38) 2000; 10 Biswal (10.1016/j.neuroimage.2010.02.052_bib7) 1995; 34 Murray (10.1016/j.neuroimage.2010.02.052_bib53) 2008; 20 Calhoun (10.1016/j.neuroimage.2010.02.052_bib14) 2001; 14 Buzsaki (10.1016/j.neuroimage.2010.02.052_bib13) 2004; 304 McKeown (10.1016/j.neuroimage.2010.02.052_bib51) 1998; 6 Bressler (10.1016/j.neuroimage.2010.02.052_bib11) 2006; 60 Hagmann (10.1016/j.neuroimage.2010.02.052_bib31) 2008; 6 Steriade (10.1016/j.neuroimage.2010.02.052_bib63) 2001; 86 Sridharan (10.1016/j.neuroimage.2010.02.052_bib62) 2008; 105 Fingelkurts (10.1016/j.neuroimage.2010.02.052_bib23) 2006; 7 Patel (10.1016/j.neuroimage.2010.02.052_bib56) 2006; 31 Maldjian (10.1016/j.neuroimage.2010.02.052_bib48) 2003; 19 Canolty (10.1016/j.neuroimage.2010.02.052_bib16) 2006; 313 Goldman (10.1016/j.neuroimage.2010.02.052_bib28) 2002; 13 Baars (10.1016/j.neuroimage.2010.02.052_bib4) 2002; 6 Corbetta (10.1016/j.neuroimage.2010.02.052_bib18) 2002; 3 Lehmann (10.1016/j.neuroimage.2010.02.052_bib42) 1984; 23 Schroeder (10.1016/j.neuroimage.2010.02.052_bib59) 2009; 32 Lehmann (10.1016/j.neuroimage.2010.02.052_bib44) 2009; 4 Laufs (10.1016/j.neuroimage.2010.02.052_bib39) 2003; 100 Strik (10.1016/j.neuroimage.2010.02.052_bib64) 1993; 87 Koenig (10.1016/j.neuroimage.2010.02.052_bib35) 2002; 16 Damoiseaux (10.1016/j.neuroimage.2010.02.052_bib19) 2006; 103 Pascual-Marqui (10.1016/j.neuroimage.2010.02.052_bib55) 1995; 42 Seeley (10.1016/j.neuroimage.2010.02.052_bib61) 2009; 62 Jann (10.1016/j.neuroimage.2010.02.052_bib33) 2009; 45 20493265 - Neuroimage. 2010 Oct 1;52(4):1173-4 20493268 - Neuroimage. 2010 Oct 1;52(4):1171-2 |
| References_xml | – volume: 3 start-page: 201 year: 2002 end-page: 215 ident: bib18 article-title: Control of Goal-directed and Stimulus-driven Attention in the Brain publication-title: Nat. Rev. Neurosci. – volume: 19 start-page: 1233 year: 2003 end-page: 1239 ident: bib48 article-title: An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets publication-title: Neuroimage – volume: 102 start-page: 9673 year: 2005 end-page: 9678 ident: bib24 article-title: The human brain is intrinsically organized into dynamic, anticorrelated functional networks publication-title: Proc. Natl. Acad. Sci. USA – volume: 14 start-page: 140 year: 2001 end-page: 151 ident: bib14 article-title: A method for making group inferences from functional MRI data using independent component analysis publication-title: Hum. Brain Mapp. – volume: 100 start-page: 8520 year: 2003 end-page: 8525 ident: bib22 article-title: A neuronal network model linking subjective reports and objective physiological data during conscious perception publication-title: Proc. Natl. Acad. Sci. U. S. A. – volume: 9999 year: 2009 ident: bib65 article-title: Two systems of resting state connectivity between the insula and cingulate cortex publication-title: Hum. Brain Mapp. – volume: 119 start-page: 2762 year: 2008 end-page: 2774 ident: bib68 article-title: Effects of fluctuating physiological rhythms during prolonged EEG–fMRI studies publication-title: Clin. Neurophysiol. – volume: 45 start-page: 903 year: 2009 end-page: 916 ident: bib33 article-title: BOLD correlates of EEG alpha phase-locking and the fMRI default mode network publication-title: Neuroimage – volume: 14 start-page: 269 year: 1993 end-page: 283 ident: bib71 article-title: Adaptive segmentation of spontaneous EEG map series into spatially defined microstates publication-title: Int. J. Psychophysiol. – volume: 315 start-page: 393 year: 2007 end-page: 395 ident: bib50 article-title: Wandering minds: the default network and stimulus-independent thought publication-title: Science – volume: 32 start-page: 9 year: 2009 end-page: 18 ident: bib59 article-title: Low-frequency neuronal oscillations as instruments of sensory selection publication-title: Trends Neurosci. – volume: 6 start-page: 47 year: 2002 end-page: 52 ident: bib4 article-title: The conscious access hypothesis: origins and recent evidence publication-title: Trends Cogn. Sci. – volume: 31 start-page: 1142 year: 2006 end-page: 1155 ident: bib56 article-title: Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data publication-title: Neuroimage – volume: 16 start-page: 41 year: 2002 end-page: 48 ident: bib35 article-title: Millisecond by millisecond, year by year: normative EEG microstates and developmental stages publication-title: Neuroimage – volume: 79 start-page: 1 year: 2001 end-page: 37 ident: bib21 article-title: Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework publication-title: Cognition – volume: 20 start-page: 7 year: 2007 end-page: 14 ident: bib34 article-title: Classes of multichannel EEG microstates in light and deep hypnotic conditions publication-title: Brain Topogr. – volume: 19 start-page: 24 year: 2009 end-page: 40 ident: bib72 article-title: Coupling of theta oscillations between anterior and posterior midline cortex and with the hippocampus in freely behaving rats publication-title: Cereb. Cortex – volume: 1129 start-page: 119 year: 2008 end-page: 129 ident: bib9 article-title: Intrinsic brain activity in altered states of consciousness publication-title: Ann. N. Y. Acad. Sci. – volume: 360 start-page: 1015 year: 2005 end-page: 1023 ident: bib36 article-title: Brain connectivity at different time-scales measured with EEG publication-title: Philos. Trans. Biol. Sci. – volume: 27 start-page: 2349 year: 2007 end-page: 2356 ident: bib60 article-title: Dissociable intrinsic connectivity networks for salience processing and executive control publication-title: J. Neurosci. – volume: 22 start-page: 24 year: 2009 end-page: 26 ident: bib58 article-title: The gamma oscillation: master or slave? publication-title: Brain Topogr. – volume: 6 start-page: e159 year: 2008 ident: bib31 article-title: Mapping the structural core of human cerebral cortex publication-title: PLoS Biol. – volume: 6 start-page: 368 year: 1998 end-page: 372 ident: bib51 article-title: Independent component analysis of fMRI data: examining the assumptions publication-title: Hum. Brain Mapp. – year: 1997 ident: bib3 publication-title: In the Theater of Consciousness: The Workspace of the Mind – volume: 103 start-page: 13848 year: 2006 end-page: 13853 ident: bib19 article-title: Consistent resting-state networks across healthy subjects publication-title: Proc. Natl. Acad. Sci. USA – volume: 10 start-page: 120 year: 2000 end-page: 131 ident: bib38 article-title: Automated Talairach Atlas labels for functional brain mapping publication-title: Hum. Brain Mapp. – volume: 11 start-page: 1100 year: 2008 end-page: 1108 ident: bib54 article-title: Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex publication-title: Nat. Neurosci. – volume: 60 start-page: 139 year: 2006 end-page: 148 ident: bib11 article-title: Operational principles of neurocognitive networks publication-title: Int. J. Psychophysiol. – volume: 313 start-page: 1626 year: 2006 end-page: 1628 ident: bib16 article-title: High gamma power is phase-locked to theta oscillations in human neocortex publication-title: Science – volume: 20 start-page: 249 year: 2008 end-page: 264 ident: bib53 article-title: Topographic ERP analyses: a step-by-step tutorial review publication-title: Brain Topogr. – volume: 304 start-page: 1926 year: 2004 end-page: 1929 ident: bib13 article-title: Neuronal oscillations in cortical networks publication-title: Science – volume: 15 start-page: 247 year: 2002 end-page: 262 ident: bib32 article-title: Detection of functional connectivity using temporal correlations in MR images publication-title: Hum. Brain Mapp. – volume: 46 start-page: 834 year: 2009 end-page: 843 ident: bib70 article-title: The spatio-temporal mapping of epileptic networks: combination of EEG–fMRI and EEG source imaging publication-title: Neuroimage – volume: 103 start-page: 10046 year: 2006 end-page: 10051 ident: bib25 article-title: Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems publication-title: Proc. Natl. Acad. Sci. USA – volume: 94 start-page: 1904 year: 2005 end-page: 1911 ident: bib37 article-title: An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex publication-title: J. Neurophysiol. – volume: 25 start-page: 616 year: 2005 end-page: 624 ident: bib20 article-title: Self-referential reflective activity and its relationship with rest: a PET study publication-title: Neuroimage – volume: 3 start-page: 191 year: 1990 end-page: 202 ident: bib40 article-title: Past, present and future of topographic mapping publication-title: Brain Topogr. – volume: 29 start-page: 828 year: 2008 end-page: 838 ident: bib15 article-title: Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks publication-title: Hum. Brain Mapp. – volume: 60 start-page: 125 year: 2006 end-page: 132 ident: bib27 article-title: The cognit: a network model of cortical representation publication-title: Int. J. Psychophysiol. – volume: 87 start-page: 169 year: 1993 end-page: 174 ident: bib64 article-title: Data-determined window size and space-oriented segmentation of spontaneous EEG map series publication-title: Electroencephalogr. Clin. Neurophysiol. – volume: 13 start-page: 2487 year: 2002 end-page: 2492 ident: bib28 article-title: Simultaneous EEG and fMRI of the alpha rhythm publication-title: Neuroreport – volume: 242 start-page: 1654 year: 1988 end-page: 1664 ident: bib46 article-title: The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function publication-title: Science – volume: 104 start-page: 13170 year: 2007 end-page: 13175 ident: bib49 article-title: Electrophysiological signatures of resting state networks in the human brain publication-title: Proc. Natl. Acad. Sci. – volume: 100 start-page: 11053 year: 2003 end-page: 11058 ident: bib39 article-title: Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest publication-title: Proc. Natl. Acad. Sci. USA – volume: 8 start-page: 229 year: 1998 end-page: 239 ident: bib1 article-title: Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtraction publication-title: Neuroimage – volume: 29 start-page: 1 year: 1998 end-page: 11 ident: bib43 article-title: Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: I. Visual imagery and abstract thoughts publication-title: Int. J. Psychophysiol. – volume: 49 start-page: 42 year: 2008 end-page: 51 ident: bib29 article-title: Epileptic networks studied with EEG–fMRI publication-title: Epilepsia – volume: 30 start-page: 2731 year: 2009 end-page: 2745 ident: bib66 article-title: Two systems of resting state connectivity between the insula and cingulate cortex publication-title: Hum. Brain Mapp. – volume: 14 start-page: 511 year: 2005 end-page: 528 ident: bib67 article-title: Cluster validation by prediction strength publication-title: J. Comput. Graph. Stat. – volume: 23 start-page: 227 year: 1984 end-page: 250 ident: bib42 article-title: Spatial analysis of evoked potentials in man—a review publication-title: Prog. Neurobiol. – volume: 13 start-page: 422 year: 2003 end-page: 433 ident: bib45 article-title: Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging publication-title: Cereb. Cortex – volume: 34 start-page: 537 year: 1995 end-page: 541 ident: bib7 article-title: Functional connectivity in the motor cortex of resting human brain using echo-planar MRI publication-title: Magn. Reson. Med. – volume: 412 start-page: 150 year: 2001 end-page: 157 ident: bib47 article-title: Neurophysiological investigation of the basis of the fMRI signal publication-title: Nature – volume: 86 start-page: 1 year: 2001 end-page: 39 ident: bib63 article-title: Impact of network activities on neuronal properties in corticothalamic systems publication-title: J. Neurophysiol. – volume: 19 start-page: 55 year: 2009 end-page: 65 ident: bib12 article-title: Right parietal brain activity precedes perceptual alternation of bistable stimuli publication-title: Cereb. Cortex – volume: 48 start-page: 609 year: 1980 end-page: 621 ident: bib41 article-title: Reference-free identification of components of checkerboard-evoked multichannel potential fields publication-title: Electroencephalogr. Clin. Neurophysiol. – volume: 105 start-page: 12569 year: 2008 end-page: 12574 ident: bib62 article-title: A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks publication-title: Proc. Natl. Acad. Sci. – volume: 42 start-page: 658 year: 1995 end-page: 665 ident: bib55 article-title: Segmentation of brain electrical activity into microstates: model estimation and validation publication-title: IEEE Trans. Biomed. Eng. – volume: 104 start-page: 15531 year: 2007 end-page: 15536 ident: bib26 article-title: Resting-state networks in the infant brain publication-title: Proc. Natl. Acad. Sci. – volume: 447 start-page: 83 year: 2007 end-page: 86 ident: bib69 article-title: Intrinsic functional architecture in the anaesthetized monkey brain publication-title: Nature – volume: 28 start-page: 9976 year: 2008 end-page: 9988 ident: bib8 article-title: Neuronal mechanisms of cortical alpha oscillations in awake-behaving macaques publication-title: J. Neurosci. – start-page: 347 year: 2004 end-page: 370 ident: bib17 article-title: Mechanisms of neural integration at the brain-scale level. The neuronal workspace and microstate models publication-title: Microcircuits: The Interface Between Neurons and Global Brain Function – volume: 20 start-page: 288 year: 1995 end-page: 304 ident: bib10 article-title: Large-scale cortical networks and cognition publication-title: Brain Res. Rev. – volume: 7 start-page: 135 year: 2006 end-page: 162 ident: bib23 article-title: Timing in cognition and EEG brain dynamics: discreteness versus continuity publication-title: Cogn. Process. – volume: 12 start-page: 230 year: 2000 end-page: 239 ident: bib2 article-title: A method for removing imaging artifact from continuous EEG recorded during functional MRI publication-title: Neuroimage – volume: 360 start-page: 1001 year: 2005 end-page: 1013 ident: bib5 article-title: Investigations into resting-state connectivity using independent component analysis publication-title: Philos. Trans. R. Soc. Lond., Ser. B: Biol. Sci. – volume: 7 start-page: 1129 year: 1995 end-page: 1159 ident: bib6 article-title: An information-maximization approach to blind separation and blind deconvolution publication-title: Neural Comput. – volume: 4 start-page: 233 year: 2000 end-page: 246 ident: bib30 article-title: The complementary brain: unifying brain dynamics and modularity publication-title: Trends Cogn. Sci. – volume: 62 start-page: 42 year: 2009 end-page: 52 ident: bib61 article-title: Neurodegenerative diseases target large-scale human brain networks publication-title: Neuron – volume: 37 start-page: 1083 year: 2007 end-page: 1090 ident: bib57 article-title: A default mode of brain function: a brief history of an evolving idea publication-title: Neuroimage – volume: 4 start-page: 7632 year: 2009 ident: bib44 article-title: EEG microstates publication-title: Scholarpedia – volume: 15 start-page: 1451 year: 2005 end-page: 1458 ident: bib52 article-title: Brain state-dependent functional hemispheric specialization in men but not in women publication-title: Cereb. Cortex – volume: 25 start-page: 616 year: 2005 ident: 10.1016/j.neuroimage.2010.02.052_bib20 article-title: Self-referential reflective activity and its relationship with rest: a PET study publication-title: Neuroimage doi: 10.1016/j.neuroimage.2004.11.048 – volume: 3 start-page: 201 year: 2002 ident: 10.1016/j.neuroimage.2010.02.052_bib18 article-title: Control of Goal-directed and Stimulus-driven Attention in the Brain publication-title: Nat. Rev. Neurosci. doi: 10.1038/nrn755 – volume: 3 start-page: 191 year: 1990 ident: 10.1016/j.neuroimage.2010.02.052_bib40 article-title: Past, present and future of topographic mapping publication-title: Brain Topogr. doi: 10.1007/BF01128876 – volume: 12 start-page: 230 year: 2000 ident: 10.1016/j.neuroimage.2010.02.052_bib2 article-title: A method for removing imaging artifact from continuous EEG recorded during functional MRI publication-title: Neuroimage doi: 10.1006/nimg.2000.0599 – volume: 20 start-page: 288 year: 1995 ident: 10.1016/j.neuroimage.2010.02.052_bib10 article-title: Large-scale cortical networks and cognition publication-title: Brain Res. Rev. doi: 10.1016/0165-0173(94)00016-I – volume: 4 start-page: 233 year: 2000 ident: 10.1016/j.neuroimage.2010.02.052_bib30 article-title: The complementary brain: unifying brain dynamics and modularity publication-title: Trends Cogn. Sci. doi: 10.1016/S1364-6613(00)01464-9 – volume: 10 start-page: 120 year: 2000 ident: 10.1016/j.neuroimage.2010.02.052_bib38 article-title: Automated Talairach Atlas labels for functional brain mapping publication-title: Hum. Brain Mapp. doi: 10.1002/1097-0193(200007)10:3<120::AID-HBM30>3.0.CO;2-8 – volume: 46 start-page: 834 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib70 article-title: The spatio-temporal mapping of epileptic networks: combination of EEG–fMRI and EEG source imaging publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.01.070 – volume: 14 start-page: 269 year: 1993 ident: 10.1016/j.neuroimage.2010.02.052_bib71 article-title: Adaptive segmentation of spontaneous EEG map series into spatially defined microstates publication-title: Int. J. Psychophysiol. doi: 10.1016/0167-8760(93)90041-M – volume: 447 start-page: 83 year: 2007 ident: 10.1016/j.neuroimage.2010.02.052_bib69 article-title: Intrinsic functional architecture in the anaesthetized monkey brain publication-title: Nature doi: 10.1038/nature05758 – volume: 94 start-page: 1904 year: 2005 ident: 10.1016/j.neuroimage.2010.02.052_bib37 article-title: An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex publication-title: J. Neurophysiol. doi: 10.1152/jn.00263.2005 – volume: 105 start-page: 12569 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib62 article-title: A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.0800005105 – volume: 100 start-page: 11053 year: 2003 ident: 10.1016/j.neuroimage.2010.02.052_bib39 article-title: Electroencephalographic signatures of attentional and cognitive default modes in spontaneous brain activity fluctuations at rest publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.1831638100 – year: 1997 ident: 10.1016/j.neuroimage.2010.02.052_bib3 – volume: 45 start-page: 903 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib33 article-title: BOLD correlates of EEG alpha phase-locking and the fMRI default mode network publication-title: Neuroimage doi: 10.1016/j.neuroimage.2009.01.001 – volume: 15 start-page: 247 year: 2002 ident: 10.1016/j.neuroimage.2010.02.052_bib32 article-title: Detection of functional connectivity using temporal correlations in MR images publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.10022 – volume: 86 start-page: 1 year: 2001 ident: 10.1016/j.neuroimage.2010.02.052_bib63 article-title: Impact of network activities on neuronal properties in corticothalamic systems publication-title: J. Neurophysiol. doi: 10.1152/jn.2001.86.1.1 – volume: 28 start-page: 9976 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib8 article-title: Neuronal mechanisms of cortical alpha oscillations in awake-behaving macaques publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.2699-08.2008 – volume: 30 start-page: 2731 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib66 article-title: Two systems of resting state connectivity between the insula and cingulate cortex publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20705 – volume: 29 start-page: 828 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib15 article-title: Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.20581 – volume: 313 start-page: 1626 year: 2006 ident: 10.1016/j.neuroimage.2010.02.052_bib16 article-title: High gamma power is phase-locked to theta oscillations in human neocortex publication-title: Science doi: 10.1126/science.1128115 – volume: 19 start-page: 1233 year: 2003 ident: 10.1016/j.neuroimage.2010.02.052_bib48 article-title: An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets publication-title: Neuroimage doi: 10.1016/S1053-8119(03)00169-1 – volume: 20 start-page: 7 year: 2007 ident: 10.1016/j.neuroimage.2010.02.052_bib34 article-title: Classes of multichannel EEG microstates in light and deep hypnotic conditions publication-title: Brain Topogr. doi: 10.1007/s10548-007-0024-3 – volume: 34 start-page: 537 year: 1995 ident: 10.1016/j.neuroimage.2010.02.052_bib7 article-title: Functional connectivity in the motor cortex of resting human brain using echo-planar MRI publication-title: Magn. Reson. Med. doi: 10.1002/mrm.1910340409 – volume: 15 start-page: 1451 year: 2005 ident: 10.1016/j.neuroimage.2010.02.052_bib52 article-title: Brain state-dependent functional hemispheric specialization in men but not in women publication-title: Cereb. Cortex doi: 10.1093/cercor/bhi025 – volume: 87 start-page: 169 year: 1993 ident: 10.1016/j.neuroimage.2010.02.052_bib64 article-title: Data-determined window size and space-oriented segmentation of spontaneous EEG map series publication-title: Electroencephalogr. Clin. Neurophysiol. doi: 10.1016/0013-4694(93)90016-O – volume: 16 start-page: 41 year: 2002 ident: 10.1016/j.neuroimage.2010.02.052_bib35 article-title: Millisecond by millisecond, year by year: normative EEG microstates and developmental stages publication-title: Neuroimage doi: 10.1006/nimg.2002.1070 – volume: 8 start-page: 229 year: 1998 ident: 10.1016/j.neuroimage.2010.02.052_bib1 article-title: Identification of EEG events in the MR scanner: the problem of pulse artifact and a method for its subtraction publication-title: Neuroimage doi: 10.1006/nimg.1998.0361 – volume: 360 start-page: 1001 year: 2005 ident: 10.1016/j.neuroimage.2010.02.052_bib5 article-title: Investigations into resting-state connectivity using independent component analysis publication-title: Philos. Trans. R. Soc. Lond., Ser. B: Biol. Sci. doi: 10.1098/rstb.2005.1634 – volume: 315 start-page: 393 year: 2007 ident: 10.1016/j.neuroimage.2010.02.052_bib50 article-title: Wandering minds: the default network and stimulus-independent thought publication-title: Science doi: 10.1126/science.1131295 – start-page: 347 year: 2004 ident: 10.1016/j.neuroimage.2010.02.052_bib17 article-title: Mechanisms of neural integration at the brain-scale level. The neuronal workspace and microstate models – volume: 103 start-page: 13848 year: 2006 ident: 10.1016/j.neuroimage.2010.02.052_bib19 article-title: Consistent resting-state networks across healthy subjects publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.0601417103 – volume: 42 start-page: 658 year: 1995 ident: 10.1016/j.neuroimage.2010.02.052_bib55 article-title: Segmentation of brain electrical activity into microstates: model estimation and validation publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/10.391164 – volume: 62 start-page: 42 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib61 article-title: Neurodegenerative diseases target large-scale human brain networks publication-title: Neuron doi: 10.1016/j.neuron.2009.03.024 – volume: 48 start-page: 609 year: 1980 ident: 10.1016/j.neuroimage.2010.02.052_bib41 article-title: Reference-free identification of components of checkerboard-evoked multichannel potential fields publication-title: Electroencephalogr. Clin. Neurophysiol. doi: 10.1016/0013-4694(80)90419-8 – volume: 19 start-page: 24 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib72 article-title: Coupling of theta oscillations between anterior and posterior midline cortex and with the hippocampus in freely behaving rats publication-title: Cereb. Cortex doi: 10.1093/cercor/bhn055 – volume: 23 start-page: 227 year: 1984 ident: 10.1016/j.neuroimage.2010.02.052_bib42 article-title: Spatial analysis of evoked potentials in man—a review publication-title: Prog. Neurobiol. doi: 10.1016/0301-0082(84)90003-0 – volume: 103 start-page: 10046 year: 2006 ident: 10.1016/j.neuroimage.2010.02.052_bib25 article-title: Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.0604187103 – volume: 29 start-page: 1 year: 1998 ident: 10.1016/j.neuroimage.2010.02.052_bib43 article-title: Brain electric microstates and momentary conscious mind states as building blocks of spontaneous thinking: I. Visual imagery and abstract thoughts publication-title: Int. J. Psychophysiol. doi: 10.1016/S0167-8760(97)00098-6 – volume: 13 start-page: 422 year: 2003 ident: 10.1016/j.neuroimage.2010.02.052_bib45 article-title: Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging publication-title: Cereb. Cortex doi: 10.1093/cercor/13.4.422 – volume: 79 start-page: 1 year: 2001 ident: 10.1016/j.neuroimage.2010.02.052_bib21 article-title: Towards a cognitive neuroscience of consciousness: basic evidence and a workspace framework publication-title: Cognition doi: 10.1016/S0010-0277(00)00123-2 – volume: 32 start-page: 9 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib59 article-title: Low-frequency neuronal oscillations as instruments of sensory selection publication-title: Trends Neurosci. doi: 10.1016/j.tins.2008.09.012 – volume: 22 start-page: 24 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib58 article-title: The gamma oscillation: master or slave? publication-title: Brain Topogr. doi: 10.1007/s10548-009-0080-y – volume: 14 start-page: 140 year: 2001 ident: 10.1016/j.neuroimage.2010.02.052_bib14 article-title: A method for making group inferences from functional MRI data using independent component analysis publication-title: Hum. Brain Mapp. doi: 10.1002/hbm.1048 – volume: 412 start-page: 150 year: 2001 ident: 10.1016/j.neuroimage.2010.02.052_bib47 article-title: Neurophysiological investigation of the basis of the fMRI signal publication-title: Nature doi: 10.1038/35084005 – volume: 31 start-page: 1142 year: 2006 ident: 10.1016/j.neuroimage.2010.02.052_bib56 article-title: Determining significant connectivity by 4D spatiotemporal wavelet packet resampling of functional neuroimaging data publication-title: Neuroimage doi: 10.1016/j.neuroimage.2006.01.012 – volume: 6 start-page: 47 year: 2002 ident: 10.1016/j.neuroimage.2010.02.052_bib4 article-title: The conscious access hypothesis: origins and recent evidence publication-title: Trends Cogn. Sci. doi: 10.1016/S1364-6613(00)01819-2 – volume: 9999 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib65 article-title: Two systems of resting state connectivity between the insula and cingulate cortex publication-title: Hum. Brain Mapp. – volume: 20 start-page: 249 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib53 article-title: Topographic ERP analyses: a step-by-step tutorial review publication-title: Brain Topogr. doi: 10.1007/s10548-008-0054-5 – volume: 11 start-page: 1100 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib54 article-title: Interhemispheric correlations of slow spontaneous neuronal fluctuations revealed in human sensory cortex publication-title: Nat. Neurosci. doi: 10.1038/nn.2177 – volume: 7 start-page: 135 year: 2006 ident: 10.1016/j.neuroimage.2010.02.052_bib23 article-title: Timing in cognition and EEG brain dynamics: discreteness versus continuity publication-title: Cogn. Process. doi: 10.1007/s10339-006-0035-0 – volume: 360 start-page: 1015 year: 2005 ident: 10.1016/j.neuroimage.2010.02.052_bib36 article-title: Brain connectivity at different time-scales measured with EEG publication-title: Philos. Trans. Biol. Sci. doi: 10.1098/rstb.2005.1649 – volume: 13 start-page: 2487 year: 2002 ident: 10.1016/j.neuroimage.2010.02.052_bib28 article-title: Simultaneous EEG and fMRI of the alpha rhythm publication-title: Neuroreport doi: 10.1097/00001756-200212200-00022 – volume: 6 start-page: 368 year: 1998 ident: 10.1016/j.neuroimage.2010.02.052_bib51 article-title: Independent component analysis of fMRI data: examining the assumptions publication-title: Hum. Brain Mapp. doi: 10.1002/(SICI)1097-0193(1998)6:5/6<368::AID-HBM7>3.0.CO;2-E – volume: 4 start-page: 7632 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib44 article-title: EEG microstates publication-title: Scholarpedia doi: 10.4249/scholarpedia.7632 – volume: 104 start-page: 15531 year: 2007 ident: 10.1016/j.neuroimage.2010.02.052_bib26 article-title: Resting-state networks in the infant brain publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.0704380104 – volume: 102 start-page: 9673 year: 2005 ident: 10.1016/j.neuroimage.2010.02.052_bib24 article-title: The human brain is intrinsically organized into dynamic, anticorrelated functional networks publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.0504136102 – volume: 49 start-page: 42 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib29 article-title: Epileptic networks studied with EEG–fMRI publication-title: Epilepsia doi: 10.1111/j.1528-1167.2008.01509.x – volume: 6 start-page: e159 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib31 article-title: Mapping the structural core of human cerebral cortex publication-title: PLoS Biol. doi: 10.1371/journal.pbio.0060159 – volume: 37 start-page: 1083 year: 2007 ident: 10.1016/j.neuroimage.2010.02.052_bib57 article-title: A default mode of brain function: a brief history of an evolving idea publication-title: Neuroimage doi: 10.1016/j.neuroimage.2007.02.041 – volume: 60 start-page: 125 year: 2006 ident: 10.1016/j.neuroimage.2010.02.052_bib27 article-title: The cognit: a network model of cortical representation publication-title: Int. J. Psychophysiol. doi: 10.1016/j.ijpsycho.2005.12.015 – volume: 104 start-page: 13170 year: 2007 ident: 10.1016/j.neuroimage.2010.02.052_bib49 article-title: Electrophysiological signatures of resting state networks in the human brain publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.0700668104 – volume: 7 start-page: 1129 year: 1995 ident: 10.1016/j.neuroimage.2010.02.052_bib6 article-title: An information-maximization approach to blind separation and blind deconvolution publication-title: Neural Comput. doi: 10.1162/neco.1995.7.6.1129 – volume: 14 start-page: 511 year: 2005 ident: 10.1016/j.neuroimage.2010.02.052_bib67 article-title: Cluster validation by prediction strength publication-title: J. Comput. Graph. Stat. doi: 10.1198/106186005X59243 – volume: 304 start-page: 1926 year: 2004 ident: 10.1016/j.neuroimage.2010.02.052_bib13 article-title: Neuronal oscillations in cortical networks publication-title: Science doi: 10.1126/science.1099745 – volume: 100 start-page: 8520 year: 2003 ident: 10.1016/j.neuroimage.2010.02.052_bib22 article-title: A neuronal network model linking subjective reports and objective physiological data during conscious perception publication-title: Proc. Natl. Acad. Sci. U. S. A. doi: 10.1073/pnas.1332574100 – volume: 60 start-page: 139 year: 2006 ident: 10.1016/j.neuroimage.2010.02.052_bib11 article-title: Operational principles of neurocognitive networks publication-title: Int. J. Psychophysiol. doi: 10.1016/j.ijpsycho.2005.12.008 – volume: 27 start-page: 2349 year: 2007 ident: 10.1016/j.neuroimage.2010.02.052_bib60 article-title: Dissociable intrinsic connectivity networks for salience processing and executive control publication-title: J. Neurosci. doi: 10.1523/JNEUROSCI.5587-06.2007 – volume: 19 start-page: 55 year: 2009 ident: 10.1016/j.neuroimage.2010.02.052_bib12 article-title: Right parietal brain activity precedes perceptual alternation of bistable stimuli publication-title: Cereb. Cortex doi: 10.1093/cercor/bhn056 – volume: 242 start-page: 1654 year: 1988 ident: 10.1016/j.neuroimage.2010.02.052_bib46 article-title: The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function publication-title: Science doi: 10.1126/science.3059497 – volume: 1129 start-page: 119 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib9 article-title: Intrinsic brain activity in altered states of consciousness publication-title: Ann. N. Y. Acad. Sci. doi: 10.1196/annals.1417.015 – volume: 119 start-page: 2762 year: 2008 ident: 10.1016/j.neuroimage.2010.02.052_bib68 article-title: Effects of fluctuating physiological rhythms during prolonged EEG–fMRI studies publication-title: Clin. Neurophysiol. doi: 10.1016/j.clinph.2008.07.284 – reference: 20493268 - Neuroimage. 2010 Oct 1;52(4):1171-2 – reference: 20493265 - Neuroimage. 2010 Oct 1;52(4):1173-4 |
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| SubjectTerms | Action Potentials - physiology Adult Biological Clocks - physiology Brain Brain - physiology Cognition & reasoning Default-mode network EEG EEG microstates EEG topography Electroencephalography - methods Female fMRI GLM Humans ICA Magnetic Resonance Imaging - methods Male Medical research Nerve Net - physiology Rapid dynamics Rest - physiology Resting state Resting-state networks |
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| Title | BOLD correlates of EEG topography reveal rapid resting-state network dynamics |
| URI | https://www.clinicalkey.com/#!/content/1-s2.0-S105381191000220X https://dx.doi.org/10.1016/j.neuroimage.2010.02.052 https://www.ncbi.nlm.nih.gov/pubmed/20188188 https://www.proquest.com/docview/1506842440 https://www.proquest.com/docview/748981806 https://www.proquest.com/docview/754879849 |
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