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Default-Mode Activity during a Passive Sensory Task: Uncoupled from Deactivation but Impacting Activation
Abstract
Deactivation refers to increased neural activity during low-demand tasks or rest compared with high-demand tasks. Several groups have reported that a particular set of brain regions, including the posterior cingulate cortex and the medial prefrontal cortex, among others, is consistently deactivated. Taken together, these typically deactivated brain regions appear to constitute a default-mode network of brain activity that predominates in the absence of a demanding external task. Examining a passive, block-design sensory task with a standard deactivation analysis (rest epochs vs. stimulus epochs), we demonstrate that the default-mode network is undetectable in one run and only partially detectable in a second run. Using independent component analysis, however, we were able to detect the full default-mode network in both runs and to demonstrate that, in the majority of subjects, it persisted across both rest and stimulus epochs, uncoupled from the task waveform, and so mostly undetectable as deactivation. We also replicate an earlier finding that the default-mode network includes the hippocampus suggesting that episodic memory is incorporated in default-mode cognitive processing. Furthermore, we show that the more a subject's default-mode activity was correlated with the rest epochs (and “deactivated” during stimulus epochs), the greater that subject's activation to the visual and auditory stimuli. We conclude that activity in the default-mode network may persist through both experimental and rest epochs if the experiment is not sufficiently challenging. Time-series analysis of default-mode activity provides a measure of the degree to which a task engages a subject and whether it is sufficient to interrupt the processes—presumably cognitive, internally generated, and involving episodic memory—mediated by the default-mode network.
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“These DMN regions are involved in self-referential processing and episodic memory (Greicius and Menon 2004)”
From Brain Activity and Functional Connectivity Associated with Hypnosis (2016) · cites this paper as Greicius and Menon 2004
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“First, similar topography of BOLD correlations has been observed across very different behavioral states including different resting conditions (28), low-level task performance (39,40), and even light anesthesia (41).”
From Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems (2006) · cites this paper as [39]
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Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Self-citationSpatial registration and normalization of images
Friston, K. J., Ashburner, J., Frith, C., Poline, J.-B., Heather, J. D., & Frackowiak, R. S. J. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030303 · Cited by 3,744
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Self-citationSearching for a baseline: Functional imaging and the resting human brain
Gusnard, D. A., & Raichle, M. E. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094500 · Cited by 3,371
Gusnard, D. A., Akbudak, E., Shulman, G. L., & Raichle, M. E. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.071043098 · Cited by 2,997
Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
Beckmann, C. F., & Smith, S. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.822821 · Cited by 2,707
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890
Intersubject synchronization of cortical activity during natural vision
Hasson, U., Nir, Y., Levy, I., Fuhrmann, G., & Malach, R. (2004) · Science · doi:10.1126/science.1089506 · Cited by 1,839
Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data.
Cordes, D., Haughton, V. M., Arfanakis, K., Carew, J. D., Turski, P. A., Moritz, C. H., Quigley, M., & Meyerand, M. E. (2001) · PubMed Central · Cited by 1,402
Research works printed but not linked: 3
- Cordes D., 2001, AJNR American Journal of Neuroradiology, 22, 1326
- McGuire P. K., 1996, NeuroReport, 7, 2095
- Quigley M. A., 2002, AJNR American Journal of Neuroradiology, 23, 49
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Default-mode network functional connectivity in aphasia: Therapy-induced neuroplasticity
Marcotte, K., Perlbarg, V., Marrelec, G., Benali, H., & Ansaldo, A. I. (2012) · Brain and Language · doi:10.1016/j.bandl.2012.11.004 · Cited by 103
Unification of Speaker and Meaning in Language Comprehension: An fMRI Study
Tesink, C. M. J. Y., Petersson, K. M., Berkum, J. J. A. V., van den Brink, D., Buitelaar, J. K., & Peter Hagoort, A. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2008.21161 · Cited by 97
Neural Mechanisms and Psychology of Psychedelic Ego Dissolution
Stoliker, D., Egan, G. F., Friston, K. J., & Razi, A. (2022) · Pharmacological Reviews · doi:10.1124/pharmrev.121.000508 · Cited by 96
Subbaraju, V., Mahanand, B. S., Sundaram, S., & Sundararajan, N. (2016) · Medical Image Analysis · doi:10.1016/j.media.2016.08.003 · Cited by 91
Castellanos, F. X., Kelly, C., & Milham, M. P. (2009) · The Canadian Journal of Psychiatry · doi:10.1177/070674370905401003 · Cited by 88
Park, H., Kennedy, K. M., Rodrigue, K. M., Hebrank, A. C., & Park, D. C. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.11.025 · Cited by 98
Li, C. R., Yan, P., Chao, H. H., Sinha, R., Paliwal, P., Constable, R. T., Zhang, S., & Lee, T.-W. (2008) · Neuroscience · doi:10.1016/j.neuroscience.2008.06.062 · Cited by 89
Combining fMRI with EEG and MEG in order to relate patterns of brain activity to cognition
FREEMAN, W. (2009) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2008.12.019 · Cited by 91
Exploring the neural substrates of misinformation processing
Gordon, A., Brooks, J. C. W., Susanne Quadflieg, A., Ecker, U. K. H., & Lewandowsky, S. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.10.003 · Cited by 92
Schlumpf, Y. R., Reinders, A. A. T. S., Nijenhuis, E. R. S., Luechinger, R., van Osch, M. J. P., & Jäncke, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098795 · Cited by 87
Chen, Y., Wang, C., Zhu, X., Tan, Y., & Zhong, Y. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2015.04.052 · Cited by 89
Kim, H., Kim, Y. K., Gwak, A. R., Lim, J.-A., Lee, J., Jung, H. Y., Sohn, B. K., Choi, S., Kim, D., & Choi, J. (2015) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2015.02.004 · Cited by 86
Bai, F., Watson, D. R., Shi, Y., Wang, Y., Yue, C., YuhuanTeng, Wu, D., Yuan, Y., & Zhang, Z. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024271 · Cited by 85
Alcohol dose effects on brain circuits during simulated driving: An fMRI study
Meda, S. A., Calhoun, V. D., Astur, R. S., Turner, B. M., Ruopp, K. C., & Pearlson, G. D. (2008) · Human Brain Mapping · doi:10.1002/hbm.20591 · Cited by 85
Tian, L., Jiang, T., Liu, Y., Yu, C., Wang, K., Zhou, Y., Song, M., & Li, K. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.044 · Cited by 85
Social working memory and its distinctive link to social cognitive ability: an fMRI study
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Zheng, A., Montez, D. F., Marek, S. A., Gilmore, A. W., Newbold, D. J., Laumann, T. O., Kay, B. P., Seider, N. A., Van, A. N., Hampton, J. M., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2101743118 · Cited by 87
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Luo, J., Niki, K., & Knoblich, G. (2006) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2006.07.005 · Cited by 83
Resting state activity in patients with disorders of consciousness.
Soddu, A., Vanhaudenhuyse, A., Athena Demertzi, A., Bruno, M., Tshibanda, L., Di, H., Mélanie, B., Papa, M., Laureys, S., & Noirhomme, Q. (2011) · Europe PMC (PubMed Central) · Cited by 82
Esposito, F., Aragri, A., Latorre, V., Popolizio, T., Scarabino, T., Cirillo, S., Marciano, E., Tedeschi, G., & Salle, F. D. (2009) · PubMed · Cited by 82
Age and amyloid-related alterations in default network habituation to stimulus repetition
Vannini, P., Hedden, T., Becker, J. A., Sullivan, C., Putcha, D., Rentz, D. M., Johnson, K. A., & Sperling, R. A. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.01.003 · Cited by 86
Imagination in human social cognition, autism, and psychotic-affective conditions
Crespi, B. J., Leach, E., Dinsdale, N. L., Mökkönen, M., & Hurd, P. L. (2016) · Cognition · doi:10.1016/j.cognition.2016.02.001 · Cited by 93
Aberrant connectivity during self–other source monitoring in schizophrenia
Wang, L. Y., Metzak, P. D., & Woodward, T. S. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.11.012 · Cited by 85
Marrelec, G., Kim, J. J. H., Doyon, J., & Horwitz, B. (2008) · Human Brain Mapping · doi:10.1002/hbm.20555 · Cited by 79
Joyce, K. E., Hayasaka, S., & Laurienti, P. J. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002885 · Cited by 79
Ryali, S., Supekar, K., Chen, T., Kochalka, J., Cai, W., Nicholas, J., Padmanabhan, A., & Menon, V. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005138 · Cited by 82
Self-citationBrent, B. K., Seidman, L. J., Thermenos, H. W., Holt, D. J., & Keshavan, M. S. (2013) · Schizophrenia Research · doi:10.1016/j.schres.2013.07.038 · Cited by 81
Jin, M., Pelak, V. S., & Cordes, D. (2011) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2011.07.007 · Cited by 81
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Menon, V. (2015) · Brain Mapping · doi:10.1016/b978-0-12-397025-1.00024-5 · Cited by 76
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Lin, P., Hasson, U., Jovicich, J., & Robinson, S. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq151 · Cited by 76
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Thambisetty, M., Beason‐Held, L. L., An, Y., Kraut, M. A., Nalls, M. A., Hernandez, D. G., Singleton, A., Zonderman, A. B., Ferrucci, L., Lovestone, S., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.05.026 · Cited by 78
Çiftçi, K. (2011) · Annals of Biomedical Engineering · doi:10.1007/s10439-011-0258-9 · Cited by 76
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Liang, P., Wang, Z., Yang, Y., & Li, K. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111721 · Cited by 73
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Bray, S. (2009) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.032.2009 · Cited by 74
Hsiao, F., Yu, H., Chen, W., Kwan, S., Chen, C., Yen, D., Yiu, C., Shih, Y., & Lin, Y.-Y. (2015) · PLoS ONE · doi:10.1371/journal.pone.0128787 · Cited by 72
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Shipman, S. L., & Astur, R. S. (2007) · Behavioural Brain Research · doi:10.1016/j.bbr.2007.10.014 · Cited by 69
Das, A., Angeles, C. D. L., & Menon, V. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118927 · Cited by 69
Self-citationGould, R. L., Brown, R. G., Owen, A. M., Bullmore, E. T., & Howard, R. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.12.045 · Cited by 68
Smallwood, J., Gorgolewski, K. J., Golchert, J., Ruby, F. J. M., Engen, H. G., Baird, B., Vinski, M. T., Schooler, J. W., & Margulies, D. S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00734 · Cited by 76
Wilson, T. W., Franzen, J. D., Heinrichs‐Graham, E., White, M. L., Knott, N. L., & Wetzel, M. W. (2011) · Human Brain Mapping · doi:10.1002/hbm.21459 · Cited by 69
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Klingner, C. M., Hasler, C., Brodoehl, S., & Witte, O. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.087 · Cited by 66
Davis, N., Cannistraci, C. J., Rogers, B. P., Gatenby, J. C., Fuchs, L. S., Anderson, A. W., & Gore, J. C. (2009) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2009.04.024 · Cited by 66
Wang, Y., Zhong, S., Chen, G., Liu, T., Zhao, L., Sun, Y., Jia, Y., & Huang, L. (2017) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867417745996 · Cited by 65
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Simon, E. B., Maron‐Katz, A., Lahav, N., Ron Shamir, A., & Hendler, T. (2017) · Human Brain Mapping · doi:10.1002/hbm.23596 · Cited by 64
Verbeke, W. J. M. I., Pozharliev, R., Strien, J. W. V., Belschak, F. D., & Bagozzi, R. P. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00486 · Cited by 67
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Morgen, K., Sammer, G., Courtney, S. M., Wolters, T., Melchior, H., Blecker, C. R., Oschmann, P., Kaps, M., & Vaitl, D. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.045 · Cited by 67
Luo, X., Chen, G., Jia, Y., Gong, J., Qiu, S., Zhong, S., Zhao, L., Chen, F., Lai, S., Qi, Z., et al. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00705 · Cited by 64
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Beason‐Held, L. L., Kraut, M. A., & Resnick, S. M. (2009) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9054-z · Cited by 62
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Pallesen, K. J., Brattico, E., Bailey, C. J., Korvenoja, A., & GJEDDE, A. H. (2008) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21086 · Cited by 63
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Kay, B. P., Meng, X., DiFrancesco, M. W., Holland, S. K., & Szaflarski, J. P. (2012) · Brain Research · doi:10.1016/j.brainres.2012.01.064 · Cited by 60
Yakushev, I. Y., Chételat, G., Fischer, F. U., Landeau, B., Bastin, C., Scheurich, A., Perrotin, A., Bahri, M. A., Drzezga, A. E., Eustache, F., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.069 · Cited by 62
Arviv, O., Goldstein, A., & Shriki, O. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0477-15.2015 · Cited by 60
de Almeida, J. S., Meskaldji, D. E., Loukas, S., Lordier, L., Gui, L., Lazeyras, F., & Hüppi, P. S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117440 · Cited by 61
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Sun, G., Qian, S., Jiang, Q., Liu, K., Li, B., Li, M., Zhao, L., Zhou, Z., von Deneen, K. M., & Liu, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061157 · Cited by 58
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Gaab, N., Gabrieli, J. D. E., & Glover, G. H. (2008) · Human Brain Mapping · doi:10.1002/hbm.20578 · Cited by 58
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Jardri, R., Pins, D., Bubrovszky, M., Despretz, P., Pruvo, J.-P., Steinling, M., & Thomas, P. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.002 · Cited by 57
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Song, J., Qin, W., Liu, Y., Duan, Y., Liu, J., He, X., Li, K., Zhang, X., Jiang, T., & Yu, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063727 · Cited by 60
Spadoni, A. D., Norman, A. L., Schweinsburg, A. D., & Tapert, S. F. (2008) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2008.00694.x · Cited by 58
Raz, A., Packard, M. G., Alexander, G. M., Buhle, J. T., Hongtu Zhu, B., Yu, S., & Peterson, B. S. (2009) · Neurocase · doi:10.1080/13554790902776896 · Cited by 55
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Lévêque, Y., Fauvel, B., Groussard, M., Caclin, A., Albouy, P., Platel, H., & Tillmann, B. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00663.2015 · Cited by 55
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MRI of neuronal network structure, function, and plasticity
Voss, H. U., & Schiff, N. D. (2009) · Progress in brain research · doi:10.1016/s0079-6123(09)17532-5 · Cited by 54
Salomon, R., Levy, D. R., & Malach, R. (2013) · Human Brain Mapping · doi:10.1002/hbm.22268 · Cited by 57
CHEN, Y., Grossman, E. D., Bidwell, L. C., Yurgelun-Todd, D. A., Gruber, S. A., Levy, D. L., NAKAYAMA, K., & Holzman, P. S. (2008) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/cabn.8.3.293 · Cited by 54
Tasks activating the default mode network map multiple functional systems
Mancuso, L., Cavuoti-Cabanillas, S., Liloia, D., Manuello, J., Buzi, G., Duca, S., Cauda, F., & Costa, T. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02467-0 · Cited by 53
Sidlauskaite, J., Wiersema, J. R., Roeyers, H., Krebs, R. M., Vassena, E., Fias, W., Braß, M., Achten, E., & Sonuga-Barke, E. J. S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.010 · Cited by 57
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Lundeberg, T., Lund, I., & Näslund, J. (2007) · Acupuncture in Medicine · doi:10.1136/aim.25.3.87 · Cited by 53
Weiland, B. J., Nigg, J. T., Welsh, R. C., Yau, W. W., Zubieta, J., Zucker, R. A., & Heitzeg, M. M. (2012) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2012.01741.x · Cited by 57
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Keerativittayayut, R., Aoki, R., Sarabi, M. T., Jimura, K., & Nakahara, K. (2018) · eLife · doi:10.7554/elife.32696 · Cited by 54
Clancy, K. J., Andrzejewski, J. A., Simon, J., Ding, M., Schmidt, N. B., & Li, W. (2020) · eNeuro · doi:10.1523/eneuro.0053-20.2020 · Cited by 53
Wang, H., McIntosh, A. R., Kovacevic, N., Karachalios, M., & Protzner, A. B. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00947 · Cited by 55
Yu, E., Liao, Z., Tan, Y., Qiu, Y., Zhu, J., Zhang, H., Wang, J., Wang, X., Wang, H., Chen, Y., et al. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9727-6 · Cited by 51
Vannini, P., Hedden, T., Huijbers, W., Ward, A. M., Johnson, K. A., & Sperling, R. A. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs108 · Cited by 52
Chao, T.-H. H., Lee, B., Hsu, L.-M., Cerri, D. H., Zhang, W.-T., Wang, T.-W. W., Ryali, S., Menon, V., & Shih, Y.-Y. I. (2023) · Science Advances · doi:10.1126/sciadv.ade5732 · Cited by 49
Self-citationNeural correlates of temporality: Default mode variability and temporal awareness
Lloyd, D. E. (2011) · Consciousness and Cognition · doi:10.1016/j.concog.2011.02.016 · Cited by 49
Mantini, D., Caulo, M., Ferretti, A., Romani, G. L., & Tartaro, A. (2009) · Radiology · doi:10.1148/radiol.2533090602 · Cited by 50
Das, A., & Menon, V. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa111 · Cited by 49
Self-citationFunctional neuroanatomy of auditory scene analysis in Alzheimer's disease
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Metadata
- Authors
- Greicius, M. D., & Menon, V.
- Affiliations
- Stanford Medicine (US)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press - Journals
- Published
- 2004-11-01
- Volume
- 16
- Issue
- 9
- Pages
- 1484-1492
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- OpenAlex
- W2069444194
- Cited by
- 684
- References
- 28
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 21 · 2023: 10 · 2022: 18 · 2021: 31 · 2020: 27 · 2019: 33 · 2018: 21 · 2017: 42 · 2016: 45 · 2015: 40 · 2014: 42 · 2013: 54 · 2012: 46
- FWCI
- 12.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (K25HD040761, HD40761)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- default mode network, deactivation, posterior cingulate cortex, medial prefrontal cortex, hippocampus, episodic memory, task engagement, independent component analysis, resting-state brain activity
- MeSH terms
- Arousal, Auditory Cortex, Brain, Brain Mapping, Electrophysiology, Factor Analysis, Statistical, Hippocampus, Humans, Magnetic Resonance Imaging, Mental Processes, Models, Neurological, Neural Inhibition, Neural Pathways, Perception, Reference Values, Rest, Sensation, Sensory Thresholds, Signal Processing, Computer-Assisted, Visual Cortex, Principal Component Analysis
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