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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]
Citations
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
Cited by
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Items 301–400 of 677
Zhou, Z., Hui, E. S. K., Kranz, G. S., Chang, J. R., de Luca, K. E., Pinto, S. M., Chan, W. W. Y., Yau, S., Chau, B. K. H., Samartzis, D., et al. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101767 · Cited by 48
Semantic domain-specific functional integration for action-related vs. abstract concepts
Ghio, M., & Tettamanti, M. (2008) · Brain and Language · doi:10.1016/j.bandl.2008.11.002 · Cited by 49
Robinson, S., Pripfl, J., Bauer, H., & Moser, E. (2008) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-008-0128-0 · Cited by 45
Ramírez-Barrantes, R., Arancibia, M., Stojanova, J., Aspé-Sánchez, M., Córdova, C., & Henríquez-Ch, R. A. (2019) · Neural Plasticity · doi:10.1155/2019/7067592 · Cited by 44
Hsu, C. L., Voss, M. W., Handy, T. C., Davis, J. C., Nagamatsu, L. S., Chan, A., Bolandzadeh, N., & Liu-Ambrose, T. Y. L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093673 · Cited by 47
Monroe, T. B., Beach, P. A., Bruehl, S. P., Dietrich, M. S., Rogers, B. P., Gore, J. C., Atalla, S., & Cowan, R. L. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-161187 · Cited by 44
Cantou, P., Platel, H., Desgranges, B., & Groussard, M. (2017) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2017.08.003 · Cited by 44
Applications of Resting-State Functional Connectivity to Neurodegenerative Disease
Zhou, J. H., Liu, S., Ng, K. K., & Wang, J. (2017) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2017.06.007 · Cited by 45
Miller, M. B., & Horn, J. D. V. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2006.03.019 · Cited by 46
Monroe, T. B., Gore, J. C., Bruehl, S. P., Benningfield, M. M., Dietrich, M. S., Chen, L. M., NEWHOUSE, P. A., Fillingim, R. B., Chodkowski, B., Atalla, S., et al. (2015) · Biology of Sex Differences · doi:10.1186/s13293-015-0041-y · Cited by 44
Resting-State fMRI in MS: General Concepts and Brief Overview of Its Application
Sbardella, E., Petsas, N., Tona, F., & Pantano, P. (2015) · BioMed Research International · doi:10.1155/2015/212693 · Cited by 43
Neural Substrates of Self-Regulatory Control in Children and Adults with Tourette Syndrome
Raz, A., Hongtu Zhu, B., Yu, S., Bansal, R., Wang, Z., Alexander, G. M., Royal, J. M., & Peterson, B. S. (2009) · The Canadian Journal of Psychiatry · doi:10.1177/070674370905400902 · Cited by 43
Shao, J., Dai, Z., Zhu, R., Wang, X., Tao, S., Bi, K., Tian, S., Wang, H., Sun, Y., Yao, Z., et al. (2019) · Bipolar Disorders · doi:10.1111/bdi.12819 · Cited by 43
Beason‐Held, L. L. (2011) · Current Alzheimer Research · doi:10.2174/156720511795745294 · Cited by 43
Distinctive time-lagged resting-state networks revealed by simultaneous EEG-fMRI
Feige, B., Spiegelhalder, K., Kiemen, A., Bosch, O. G., van Elst, L. T., Hennig, J., Seifritz, E., & Riemann, D. W. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.027 · Cited by 46
Sidlauskaite, J., Sonuga-Barke, E. J. S., Roeyers, H., & Wiersema, J. R. (2015) · Psychological Medicine · doi:10.1017/s0033291715002019 · Cited by 48
Default Mode Network Maturation and Environmental Adversities During Childhood
Rebello, K., Moura, L. M., Pinaya, W. H. L., Rohde, L. A., & Sato, J. R. (2018) · Chronic Stress · doi:10.1177/2470547018808295 · Cited by 46
Etkin, A., Keller, K., Schatzberg, A. F., Menon, V., & Greicius, M. D. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70428-8 · Cited by 42
Self-citationBeißner, F., & Henke, C. (2009) · Evidence-based Complementary and Alternative Medicine · doi:10.1093/ecam/nep154 · Cited by 41
Viewing socio-affective stimuli increases connectivity within an extended default mode network
Göttlich, M., Ye, Z., Rodríguez‐Fornells, A., Münte, T. F., & Krämer, U. M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.12.044 · Cited by 42
Functional brain imaging in neuropsychology over the past 25 years.
Roalf, D. R., & Gur, R. C. (2017) · Neuropsychology · doi:10.1037/neu0000426 · Cited by 42
Bridging the Gap Between Fluid Biomarkers for Alzheimer’s Disease, Model Systems, and Patients
Bjorkli, C., Sandvig, A., & Sandvig, I. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00272 · Cited by 41
Electrophysiological studies in Internet addiction: A review within the dual-process framework
D’Hondt, F., & Maurage, P. (2015) · Addictive Behaviors · doi:10.1016/j.addbeh.2015.10.012 · Cited by 40
Vannini, P., Hedden, T., Sullivan, C., & Sperling, R. A. (2012) · Human Brain Mapping · doi:10.1002/hbm.22011 · Cited by 45
Wilf, M., Strappini, F., Golan, T., Hahamy, A., Harel, M., & Malach, R. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv275 · Cited by 40
Huang, S., Wu, Y., Peng, S., Peng, H., Huang, T., Ho, K., & Wang, F. (2016) · Scientific Reports · doi:10.1038/srep21697 · Cited by 40
Zhang, B., Li, S., Zhuo, C., Li, M., Safron, A., Genz, A., Qin, W., Yu, C., & Walter, M. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.042 · Cited by 40
Tablet-Based Functional MRI of the Trail Making Test: Effect of Tablet Interaction Mode
Karimpoor, M., Churchill, N. W., Tam, F., Fischer, C. E., Schweizer, T. A., & Graham, S. J. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00496 · Cited by 43
Langers, D. R. M., & Melcher, J. R. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0023 · Cited by 41
Structural and Functional Magnetic Resonance Imaging in Psychiatric Disorders
Pearlson, G. D., & Calhoun, V. D. (2007) · The Canadian Journal of Psychiatry · doi:10.1177/070674370705200304 · Cited by 39
Zhou, B., Dou, X., Wang, W., Yao, H., Feng, F., Wang, P., Yang, Z., An, N., Liu, B., Zhang, X., et al. (2022) · Methods · doi:10.1016/j.ymeth.2022.06.001 · Cited by 39
Olivito, G., Cercignani, M., Lupo, M., Iacobacci, C., Clausi, S., Romano, S., Masciullo, M., Molinari, M., Bozzali, M., & Leggio, M. G. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.03.009 · Cited by 38
Marques, R. C., Vieira, L., Marques, D., & Cantilino, A. (2019) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2019-0344 · Cited by 42
Disruptions of the olfactory and default mode networks in Alzheimer's disease
Lu, J., Yang, Q. X., Zhang, H., Eslinger, P. J., Zhang, X., Wu, S., Zhang, B., Zhu, B., & Karunanayaka, P. (2019) · Brain and Behavior · doi:10.1002/brb3.1296 · Cited by 40
Halder, P., Brem, S., Bücher, K., Boujraf, S., Summers, P. E., Dietrich, T., Kollias, S., Martin, E., & Brandeis, D. (2006) · Human Brain Mapping · doi:10.1002/hbm.20262 · Cited by 38
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Jafri, M. J., & Calhoun, V. D. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260906 · Cited by 39
Ding, W., Cao, W., Wang, Y., Sun, Y., Xue, C., Zhou, Y., Xu, Q., & Xu, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138180 · Cited by 38
Group Study of Simulated Driving fMRI Data by Multiset Canonical Correlation Analysis
Li, Y., Eichele, T., Calhoun, V. D., & Adalı, T. (2011) · Journal of Signal Processing Systems · doi:10.1007/s11265-010-0572-8 · Cited by 37
Peschke, C., Ziegler, W., Eisenberger, J., & Baumgaertner, A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.025 · Cited by 37
Perlbarg, V., & Marrelec, G. (2008) · International Journal of Biomedical Imaging · doi:10.1155/2008/218519 · Cited by 41
Imaging brain activity during natural vision using CASL perfusion fMRI
Rao, H., Wang, J., Tang, K. Z., Pan, W., & Detre, J. A. (2006) · Human Brain Mapping · doi:10.1002/hbm.20288 · Cited by 37
Structural connectivity of the default mode network and cognition in Alzheimer׳s disease
Weiler, M., de Campos, B. M., Nogueira, M. H., Damasceno, B. P., Cendes, F., & Balthazar, M. L. F. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.04.008 · Cited by 37
Varikuti, D. P., Hoffstaedter, F., Genon, S., Schwender, H. R., Reid, A., & Eickhoff, S. B. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1286-x · Cited by 36
Provenzano, J., Fossati, P., Dejonckheere, E., Verduyn, P., & Kuppens, P. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.06.051 · Cited by 37
Implicit phonological priming during visual word recognition
Wilson, L. B., Tregellas, J. R., Slason, E., Pasko, B. E., & Rojas, D. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.019 · Cited by 42
Consciousness, Plasticity, and Connectomics: The Role of Intersubjectivity in Human Cognition
Allen, M., & Williams, G. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00020 · Cited by 40
Word Intelligibility and Age Predict Visual Cortex Activity during Word Listening
Kuchinsky, S. E., Vaden, K. I., Keren, N. I., Harris, K. C., Ahlstrom, J. B., Dubno, J. R., & Eckert, M. A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr211 · Cited by 37
Anterior-Posterior Connectivity within the Default Mode Network Increases During Maturation.
Washington, S. D., & VanMeter, J. W. (2015) · PubMed · Cited by 35
You, Y., Bai, L., Dai, R., Cheng, H., Liu, Z., Wei, W., & Tian, J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064509 · Cited by 36
Yuan, B., Chen, J., Gong, L., Shu, H., Liao, W., Wang, Z., Liu, D., Xie, C., & Zhang, Z. (2016) · Oncotarget · doi:10.18632/oncotarget.11775 · Cited by 34
Abnormal Functional Connectivity Between Default and Salience Networks in Pediatric Bipolar Disorder
Lopez-Larson, M. P., Shah, L. M., Weeks, H. R., King, J. B., Mallik, A. K., Yurgelun-Todd, D. A., & Anderson, J. S. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.10.001 · Cited by 35
Sustained activity within the default mode network during an implicit memory task
Yang, J., Weng, X., Zang, Y., Xu, M., & Xu, X. V. (2009) · Cortex · doi:10.1016/j.cortex.2009.05.002 · Cited by 35
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Haley, A. P., Gunstad, J., Cohen, R. A., Jerskey, B. A., Mulligan, R. C., & Sweet, L. H. (2008) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9025-4 · Cited by 35
Jo, H. J., Saad, Z. S., Gotts, S. J., Martin, A. D., & Cox, R. W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048847 · Cited by 35
Azulay, H., Striem-Amit, E., & Amedi, A. (2009) · Brain Topography · doi:10.1007/s10548-009-0089-2 · Cited by 38
Deficits in default mode network activity preceding error in cocaine dependent individuals
Bednarski, S. R., Zhang, S., Hong, K., Sinha, R., Rounsaville, B. J., & Li, C. R. (2011) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2011.05.026 · Cited by 34
Lodygensky, G. A., Inder, T. E., & Neil, J. J. (2007) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2007.08.018 · Cited by 34
Chien, H.-Y. S., Gau, S. S., & Tseng, W. I. (2016) · Autism Research · doi:10.1002/aur.1607 · Cited by 37
Deactivations, Global Signal, and the Default Mode of Brain Function
Laurienti, P. J. (2004) · Journal of Cognitive Neuroscience · doi:10.1162/0898929042568596 · Cited by 33
Chen, J., Initiative, A. D. N., Chen, G., Shu, H., Chen, G., Ward, B. D., Wang, Z., Liu, D., Antuono, P., Li, S., et al. (2019) · Aging · doi:10.18632/aging.101883 · Cited by 32
Patterns of default mode network in temporal lobe epilepsy with and without hippocampal sclerosis
Zanao, T. A., Lopes, T. M., de Campos, B. M., Yasuda, C. L., & Cendes, F. (2019) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2019.106523 · Cited by 32
Decreased MEG beta oscillations in HIV-infected older adults during the resting state
Becker, K. M., Heinrichs‐Graham, E., Fox, H. S., Robertson, K. R., Sandkovsky, U., O’Neill, J., Swindells, S., & Wilson, T. W. (2013) · Journal of NeuroVirology · doi:10.1007/s13365-013-0220-8 · Cited by 32
Motor deactivation in the human cortex and basal ganglia
Marchand, W. R., Lee, J. N., Thatcher, J. W., Thatcher, G. W., Jensen, C., & Starr, J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.036 · Cited by 32
Gómez‐Ramírez, J., Freedman, S., Mateos, D. M., Velázquez, J. L. P., & Valiante, T. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-15659-0 · Cited by 32
Resting‐state connectivity within and across neural circuits in anorexia nervosa
Uniacke, B., Wang, Y., Biezonski, D., Sussman, T., Lee, S., Posner, J., & Steinglass, J. (2019) · Brain and Behavior · doi:10.1002/brb3.1205 · Cited by 31
Emotional modulation of experimental pain: a source imaging study of laser evoked potentials
Stančák, A., & Fallon, N. B. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00552 · Cited by 31
Hallquist, M. N., Geier, C. F., & Luna, B. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.045 · Cited by 33
Parker, D. B., & Razlighi, Q. R. (2019) · Scientific Reports · doi:10.1038/s41598-019-50483-8 · Cited by 31
Reduced representations of heterogeneous mixed neural networks with synaptic coupling
Stefanescu, R. A., & Jirsa, V. (2011) · Physical Review E · doi:10.1103/physreve.83.026204 · Cited by 31
Wilson, T. W., Fox, H. S., Robertson, K. R., Sandkovsky, U., O’Neill, J., Heinrichs‐Graham, E., Knott, N. L., & Swindells, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0066241 · Cited by 31
Huang, A., Klein, D. N., & Leung, H. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.10.007 · Cited by 35
Aroma effects on food choice task behavior and brain responses to bakery food product cues
de Wijk, R. A., Smeets, P. A. M., Polet, I. A., Holthuysen, N. T. E., Zoon, H. F. A., & Vingerhoeds, M. H. (2018) · Food Quality and Preference · doi:10.1016/j.foodqual.2018.03.015 · Cited by 32
Terpou, B. A., Densmore, M., Théberge, J., Frewen, P., McKinnon, M. C., Nicholson, A. A., & Lanius, R. A. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102345 · Cited by 35
Goldberg, I., Ullman, S., & Malach, R. (2008) · Consciousness and Cognition · doi:10.1016/j.concog.2007.10.003 · Cited by 30
Cognitive Expertise: An ALE Meta-Analysis
Neumann, N., Lotze, M., & Eickhoff, S. B. (2015) · Human Brain Mapping · doi:10.1002/hbm.23028 · Cited by 35
Neuroaging through the Lens of the Resting State Networks
Cieri, F., & Esposito, R. (2018) · BioMed Research International · doi:10.1155/2018/5080981 · Cited by 32
The heart of cognitive control: Cardiac phase modulates processing speed and inhibition
Makowski, D., Sperduti, M., Blondé, P., Nicolas, S., & Piolino, P. (2019) · Psychophysiology · doi:10.1111/psyp.13490 · Cited by 33
Mapping common grey matter volume deviation across child and adolescent psychiatric disorders
Li, T., Wang, L., Camilleri, J. A., Chen, X., Li, S., Stewart, J. L., Jiang, Y., Eickhoff, S. B., & Feng, C. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.05.015 · Cited by 30
Devaney, K. J., Levin, E. J., Tripathi, V., Higgins, J. P., Lazar, S. W., & Somers, D. C. (2021) · Brain Sciences · doi:10.3390/brainsci11050566 · Cited by 32
Nejad, A. B., Ebdrup, B. H., Siebner, H. R., Rasmussen, H., Aggernæs, B., Glenthoj, B. Y., & Baaré, W. F. C. (2011) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2010.556199 · Cited by 31
Kennis, M., Rademaker, A. R., van Rooij, S. J. H., Kahn, R. S., & Geuze, E. (2013) · F1000Research · doi:10.12688/f1000research.2-289.v1 · Cited by 30
Ongoing habenular activity is driven by forebrain networks and modulated by olfactory stimuli
Bartoszek, E. M., Ostenrath, A. M., Jetti, S. K., Serneels, B., Mutlu, A. K., Chau, K. T. P., & Yaksi, E. (2021) · Current Biology · doi:10.1016/j.cub.2021.08.021 · Cited by 31
Altered Functional Connectivity of the Default Mode Network in Low-Empathy Subjects
Kim, S. J., Kim, S. E., Kim, H.-E., Han, K., Jeong, B., Kim, J., Namkoong, K., & Kim, J.-W. (2017) · Yonsei Medical Journal · doi:10.3349/ymj.2017.58.5.1061 · Cited by 29
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Soldner, J., Meindl, T., Koch, W., Bokde, A. L. W., Reiser, M. F., Möller, H., Bürger, K., Hampel, H. J., & Teipel, S. (2011) · Der Nervenarzt · doi:10.1007/s00115-011-3326-3 · Cited by 29
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Chen, A. C., Welsh, R. C., Liberzon, I., & Taylor, S. F. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.044 · Cited by 30
Yue, C., Zhang, Y., Jian, M., Herold, F., Yu, Q., Mueller, P., Lin, J., Wang, G., Tao, Y., Zhang, Z., et al. (2020) · Healthcare · doi:10.3390/healthcare8010067 · Cited by 28
Kammermeier, S., Pittard, D., Hamada, I., & Wichmann, T. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00104.2016 · Cited by 27
Kim, S., & Knösche, T. R. (2017) · Human Brain Mapping · doi:10.1002/hbm.23637 · Cited by 27
Contributions of default mode network stability and deactivation to adolescent task engagement
McCormick, E. M., & Telzer, E. H. (2018) · Scientific Reports · doi:10.1038/s41598-018-36269-4 · Cited by 30
Gao, J. J., Zhou, Y., Yang, X., Luo, J., Meng, F., Zheng, D., & Li, Z. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.134449 · Cited by 30
Das, A., & Menon, V. (2024) · eLife · doi:10.1101/2024.02.28.582593 · Cited by 27
Self-citationLi, R., Ryu, J. H., Vincent, P., Springer, M., Kluger, D., Levinsohn, E. A., Chen, Y., Chen, H., & Blumenfeld, H. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117873 · Cited by 26
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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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