The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
In the citing paper
“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
Sorted by citations
Items 401–500 of 677
Jacola, L. M., Byars, A. W., Hickey, F. J., Vannest, J. J., Holland, S. K., & Schapiro, M. B. (2013) · Journal of Intellectual Disability Research · doi:10.1111/jir.12089 · Cited by 26
Yuan, B., Xie, C., Shu, H., Liao, W., Wang, Z., Liu, D., & Zhang, Z. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-160353 · Cited by 25
A novel approach for global noise reduction in resting-state fMRI: APPLECOR
Marx, M., Pauly, K. B., & Chang, C. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.040 · Cited by 25
Comparison of continuously acquired resting state and extracted analogues from active tasks
Ganger, S., Hahn, A., Küblböck, M., Kranz, G. S., Spies, M., Vanicek, T., Seiger, R., Sladky, R., Windischberger, C., Kasper, S. F., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22897 · Cited by 25
“Salience network” dysfunction hypothesis in autism spectrum disorders
Toyomaki, A., & Murohashi, H. (2013) · Japanese Psychological Research · doi:10.1111/jpr.12012 · Cited by 24
Increased prefrontal cortex connectivity associated with depression vulnerability and relapse
Zhang, Z., Yang, M., Guo, Z., Liao, D., Sörös, P., Li, M., Walter, M., Wang, L., & Liu, C. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.02.059 · Cited by 24
Magnuson, M. E., Thompson, G. J., Schwarb, H. D., Pan, W., McKinley, A., Schumacher, E. H., & Keilholz, S. D. (2015) · Brain Imaging and Behavior · doi:10.1007/s11682-014-9347-3 · Cited by 27
Cuevas, P., Steines, M., He, Y., Nagels, A., Culham, J. C., & Straube, B. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.03.054 · Cited by 26
Abnormal intrinsic brain functional network dynamics in unmedicated depressed bipolar II disorder
Wang, J., Wang, Y., Huang, H., Jia, Y., Zheng, S., Zhong, S., Huang, L., & Huang, R. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.04.103 · Cited by 24
Large-scale intrinsic connectivity is consistent across varying task demands
Kieliba, P., Madugula, S. S., Filippini, N., Duff, E. P., & Makin, T. R. (2019) · PLoS ONE · doi:10.1371/journal.pone.0213861 · Cited by 26
Tal, Z., Geva, R., & Amedi, A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.058 · Cited by 25
Data-Driven Extraction of a Nested Model of Human Brain Function
Bolt, T., Nomi, J. S., Yeo, B. T. T., & Uddin, L. Q. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.0323-17.2017 · Cited by 23
Deactivation of default mode network during touch
Strauß, T., Kämpe, R., Hamilton, J. P., Olausson, H., Rottstädt, F., Raue, C., & Croy, I. (2019) · Scientific Reports · doi:10.1038/s41598-018-37597-1 · Cited by 24
Wu, L., Wang, C., Liu, J., Guo, J., Wei, Y., Wang, K., Miao, P., Wang, Y., & Cheng, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.621767 · Cited by 23
Hampel, H. J., Prvulovic, D., Teipel, S. J., & Bokde, A. L. W. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.05.012 · Cited by 24
Barban, F., Carlesimo, G. A., Macaluso, E., Caltagirone, C., & da Costa, A. L. C. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.12.001 · Cited by 25
Network topology and dynamics in traumatic brain injury
Barbey, A. K., Belli, A., Logan, A., Rubin, R. D., Zamroziewicz, M. K., & Operskalski, J. T. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2015.04.002 · Cited by 23
The Default Mode Network Differentiates Biological From Non-Biological Motion
Dayan, E., Sella, I., Mukovskiy, A., Douek, Y., Giese, M. A., Malach, R., & Flash, T. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu199 · Cited by 27
Lima, E. M., Rzezak, P., Guimarães, C. A., Montenegro, M. A., Guerreiro, M. M., & Valente, K. D. R. (2017) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2017.04.024 · Cited by 23
Gao, W., Chen, S., Biswal, B. B., Lei, X., & Yuan, J. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy092 · Cited by 25
Joshi, H., Bharath, S., Balachandar, R., Sadanand, S., Vishwakarma, H., Aiyappan, S., Saini, J. S., Kumar, K. J., John, J. P., & Varghese, M. (2019) · Brain Connectivity · doi:10.1089/brain.2019.0676 · Cited by 23
Miyagi, T., Oishi, N., Kobayashi, K., Ueno, T., Yoshimura, S., Murai, T., & Fujiwara, H. (2020) · Scientific Reports · doi:10.1038/s41598-020-74283-7 · Cited by 22
Evers, E. A. T., Klaassen, E. B., Rombouts, S. A. R. B., Backes, W. H., & Jolles, J. (2012) · Brain Connectivity · doi:10.1089/brain.2011.0060 · Cited by 23
Mazza, M., Catalucci, A., Pino, M. C., Giusti, L., Nigri, A., Pollice, R., Roncone, R., CASACCHIA, M., & Gallucci, M. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9223-6 · Cited by 22
Zinn, M. L., Zinn, M. A., & Jason, L. A. (2016) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-016-9331-3 · Cited by 22
Functional MRI of Letter Cancellation Task Performance in Older Adults
Deng, I. D., Chung, L., Talwar, N. A., Tam, F., Churchill, N. W., Schweizer, T. A., & Graham, S. J. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00097 · Cited by 24
Prefrontal neural dynamics in consciousness
León-Domínguez, U., & León‐Carrión, J. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.05.018 · Cited by 23
Brauchli, C., Leipold, S., & Jäncke, L. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116513 · Cited by 23
Brain processes in women and men in response to emotive sounds
Rigo, P., Pisapia, N. D., Bornstein, M. H., Putnick, D. L., Serra, M., Esposito, G., & Venuti, P. (2016) · Social Neuroscience · doi:10.1080/17470919.2016.1150341 · Cited by 22
On Pain as a Distinct Sensation: Mapping Intensities, Affects, and Difference in ‘Interior States’
Paterson, M. W. D. (2019) · Body & Society · doi:10.1177/1357034x19834631 · Cited by 21
Blomberg, R., Signoret, C., Danielsson, H., Perini, I., Rönnberg, J., & Capusan, A. J. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.972730 · Cited by 21
Subclinical delusional thinking predicts lateral temporal cortex responses during social reflection
Brent, B. K., Coombs, G., Keshavan, M. S., Seidman, L. J., Moran, J. M., & Holt, D. J. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss129 · Cited by 23
Review: How do spontaneous and sensory-evoked activities interact?
Férézou, I., & Deneux, T. (2017) · Neurophotonics · doi:10.1117/1.nph.4.3.031221 · Cited by 24
A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data
Xu, L., Fan, T., Wu, X., Chen, K., Guo, X., Zhang, J., & Li, Y. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00125 · Cited by 21
Matthews, M., & Fair, D. A. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12335 · Cited by 21
Forbes, C. E., Leitner, J. B., Duran, K. A., Magerman, A. B., Schmader, T., & Allen, J. J. B. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsu145 · Cited by 21
Liu, L., Li, H., Ren, Z., Zhou, Q., Zhang, Y.-X., Lu, C., Qiu, J., Chen, H., & Ding, G. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab521 · Cited by 21
Neuroimaging Databases as a Resource for Scientific Discovery
Horn, J. D. V., Wolfe, J., Agnoli, A., Woodward, J. B., Schmitt, M. N., Dobson, J. E., Schumacher, S., & Vance, B. (2005) · International review of neurobiology · doi:10.1016/s0074-7742(05)66002-3 · Cited by 19
Emotional and cognitive stimuli differentially engage the default network during inductive reasoning
Eldaief, M. C., Deckersbach, T., Carlson, L. E., Beucke, J. C., & Dougherty, D. D. (2011) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr003 · Cited by 20
Impaired topographic organization in Parkinson's disease with mild cognitive impairment
Hou, Y., Wei, Q., Ou, R., Yang, J., Gong, Q., & Shang, H. (2020) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2020.116861 · Cited by 20
Resting-state functional connectivity of the human hypothalamus
Kullmann, S., & Veit, R. (2021) · Handbook of clinical neurology · doi:10.1016/b978-0-12-819975-6.00005-4 · Cited by 19
A computational study of whole-brain connectivity in resting state and task fMRI
Vaina, L. M. (2014) · Medical Science Monitor · doi:10.12659/msm.891142 · Cited by 19
Weathersby, F. L., King, J. B., Fox, J. C., Loret, A., & Anderson, J. S. (2019) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2019.08.001 · Cited by 19
Default mode network connectivity and treatment response in geriatric depression
Kilpatrick, L. A., Krause, B., Siddarth, P., Narr, K. L., & Lavretsky, H. (2022) · Brain and Behavior · doi:10.1002/brb3.2475 · Cited by 18
Extraversion and fronto-posterior EEG spectral power gradient: An independent component analysis
Knyazev, G. G., Bocharov, A. V., & Pylkova, L. V. (2012) · Biological Psychology · doi:10.1016/j.biopsycho.2011.12.023 · Cited by 19
The Endogenously Active Brain: The Need for an Alternative Cognitive Architecture
Bechtel, W. (2013) · Philosophia Scientae · doi:10.4000/philosophiascientiae.846 · Cited by 18
André, N., Gastinger, S., & Rébillard, A. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.774347 · Cited by 17
Padula, M. C., Schaer, M., Scariati, E., Maeder, J., Schneider, M., & Eliez, S. (2017) · Human Brain Mapping · doi:10.1002/hbm.23512 · Cited by 19
Frequency‐specific changes in the default mode network in patients with cingulate gyrus epilepsy
Leng, X., Xiang, J., Yang, Y., Yu, T., Qi, X., Zhang, X., Wu, S., & Wang, Y. (2020) · Human Brain Mapping · doi:10.1002/hbm.24956 · Cited by 17
Jin, G., Li, K., Hu, Y., Qin, Y., Wang, X., Xiang, J., Yang, Y., Lu, J., & Zhong, N. (2011) · Radiology · doi:10.1148/radiol.11102186 · Cited by 17
Tarailis, P., Lory, K. S., Unschuld, P. G., Michel, C. M., & Bréchet, L. (2025) · Scientific Reports · doi:10.1038/s41598-025-97240-8 · Cited by 16
EEG-based neurophysiological indices for expert psychomotor performance – a review
Morrone, J. M., & Pedlar, C. R. (2024) · Brain and Cognition · doi:10.1016/j.bandc.2024.106132 · Cited by 18
Multimodal gradients of basal forebrain connectivity across the neocortex
Chakraborty, S., Haast, R. A. M., Onuska, K. M., Kanel, P., Prado, M. A. M., Prado, V. F., KHAN, A. R., & Schmitz, T. W. (2024) · Nature Communications · doi:10.1038/s41467-024-53148-x · Cited by 18
Functional connectivity of parietal cortex during temporal selective attention
Tyler, S. C., Dasgupta, S., Agosta, S., Battelli, L., & Grossman, E. D. (2015) · Cortex · doi:10.1016/j.cortex.2015.01.015 · Cited by 16
Chen, Y., Wang, C., Liang, H., Chen, H., Bi, Y., Sun, H., Shi, Q., Deng, Y., Li, J., Wang, Y., et al. (2016) · Neurological Research · doi:10.1080/01616412.2016.1177929 · Cited by 16
Shafritz, K. M., Ikuta, T., Greene, A. M., Robinson, D. G., Gallego, J. A., Lencz, T., DeRosse, P., Kingsley, P. B., & Szeszko, P. R. (2018) · Brain Imaging and Behavior · doi:10.1007/s11682-018-9876-2 · Cited by 16
Chen, T., Ryali, S., Qin, S., & Menon, V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.118 · Cited by 16
Self-citationAltered Vision-Related Resting-State Activity in Pituitary Adenoma Patients with Visual Damage
Qian, H., Wang, X., Wang, Z., Wang, Z., & Liu, P. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160119 · Cited by 16
Mapping brain state-dependent sensory responses across the mouse cortex
Montagni, E., Resta, F., Tort‐Colet, N., Scaglione, A., Mazzamuto, G., Alain Destexhe, A., Pavone, F. S., & Mascaro, A. L. A. (2024) · iScience · doi:10.1016/j.isci.2024.109692 · Cited by 15
Gao, Z., Feng, Y., Ma, C., Ma, K., Cai, Q., & Initiative, A. F. T. A. D. N. (2020) · Current Alzheimer Research · doi:10.2174/1567205017666200213100607 · Cited by 15
Liang, Y., Jiang, X., Zhu, W., Shen, Y., Xue, F., Li, Y., & Chen, Z. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.537981 · Cited by 16
A Heuristic Pathophysiological Model of Tinnitus
Ridder, D. D. (2010) · Springer eBooks · doi:10.1007/978-1-60761-145-5_21 · Cited by 15
From Reactive to Endogenously Active Dynamical Conceptions of the Brain
Abrahamsen, A. A., & Bechtel, W. (2011) · Boston studies in the philosophy of science · doi:10.1007/978-94-007-1951-4_16 · Cited by 15
Cheng, H., Wu, H. Q., & Yong Fan, A. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.09.004 · Cited by 14
Resting-State Activity in High-Order Visual Areas as a Window into Natural Human Brain Activations
Strappini, F., Wilf, M., Karp, O., Goldberg, H., Harel, M., Furman‐Haran, E., Golan, T., & Malach, R. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy242 · Cited by 14
Longitudinally consistent estimates of intrinsic functional networks
Zhao, Q., Kwon, D., Müller‐Oehring, E. M., Berre, A. L., Adolf Pfefferbaum, A., Sullivan, E. V., & Pohl, K. M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24541 · Cited by 14
Schlumpf, Y. R., Nijenhuis, E. R. S., Klein, C., Jäncke, L., & Bachmann, S. (2021) · Brain and Behavior · doi:10.1002/brb3.2200 · Cited by 15
Shin, W., Koenig, K. A., & Lowe, M. J. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119136 · Cited by 14
Weak task synchronization of default mode network in task based paradigms
Tripathi, V., & Garg, R. D. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.118940 · Cited by 14
Jin, G., Li, K., Qin, Y., Zhong, N., Zhou, H., Wang, Z., Xiang, J., Hu, Y., Wang, M., & Zeng, Q. (2012) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2012.02.032 · Cited by 14
Petsas, N., Tinelli, E., Lenzi, D., Tomassini, V., Sbardella, E., Tona, F., Raz, E., Nucciarelli, V., Pozzilli, C., & Pantano, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065315 · Cited by 14
Default mode network gates the retrieval of task-irrelevant incidental memories
Kompus, K. (2010) · Neuroscience Letters · doi:10.1016/j.neulet.2010.10.047 · Cited by 14
Butler, T., Pan, H., Imperato-McGinley, J., Voyer, D., Cunningham-Bussel, A., Cordero, J. J., Zhu, Y.-S., Silbersweig, D., & Stern, E. (2007) · Clinical Neuroscience Research · doi:10.1016/j.cnr.2007.05.005 · Cited by 12
Mäki-Marttunen, V., Castro, M., Olmos, L., Leiguarda, R., & Villarreal, M. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.01.022 · Cited by 13
Increased Visual Stimulation Systematically Decreases Activity in Lateral Intermediate Cortex
Nasr, S., Stemmann, H., Vanduffel, W., & Tootell, R. B. H. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu290 · Cited by 13
Yao, L., Li, M., Wang, K., Liu, Y., Zheng, H., Zhong, Z., Ma, S., Yang, H., Sun, M., He, M., et al. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1360623 · Cited by 13
Attention does more than modulate suppressive interactions: attending to multiple items
Scalf, P. E., Basak, C., & Beck, D. M. (2011) · Experimental Brain Research · doi:10.1007/s00221-011-2730-z · Cited by 14
Response of multiple demand network to visual search demands
Jung, K., Min, Y., & Han, S. W. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117755 · Cited by 13
Zhao, J., Zhang, Y., Liu, F., Chen, J., Zhao, J., & Guo, W. (2022) · Brain Imaging and Behavior · doi:10.1007/s11682-021-00597-3 · Cited by 13
How Social-Emotional Imagination Facilitates Deep Learning and Creativity in the Classroom
Gotlieb, R. J. M., Jahner, E. E., Immordino‐Yang, M. H., & Kaufman, S. B. (2016) · Cambridge University Press eBooks · doi:10.1017/9781316212899.018 · Cited by 14
Data-driven tensor independent component analysis for model-based connectivity neurofeedback
Koush, Y., Masala, N., Scharnowski, F., & Ville, D. V. D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.067 · Cited by 14
Draining the pond and catching the fish: Uncovering the ecosystem of auditory verbal hallucinations
Looijestijn, J., Blom, J. D., Hoek, H. W., Renken, R. J., Liemburg, E. J., Sommer, I. E., Aleman, A., & Goekoop, R. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.09.016 · Cited by 13
Zhou, H., Geng, F., Wang, T.-F., Wang, C., Xie, Y., Hu, Y., & Chen, F. (2020) · Neuroscience · doi:10.1016/j.neuroscience.2020.02.033 · Cited by 11
Modulation of Effective Connectivity in the Default Mode Network at Rest and During a Memory Task
Li, X., Kehoe, E. G., McGinnity, T. M., Coyle, D., & Bokde, A. L. W. (2014) · Brain Connectivity · doi:10.1089/brain.2014.0249 · Cited by 13
Kennis, M., Rademaker, A. R., van Rooij, S. J. H., Kahn, R. S., & Geuze, E. (2014) · F1000Research · doi:10.12688/f1000research.2-289.v2 · Cited by 13
Self-Related Processing and Deactivation of Cortical Midline Regions in Disorders of Consciousness
Crone, J. S., Höller, Y., Bergmann, J., Golaszewski, S. M., Trinka, E., & Kronbichler, M. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00504 · Cited by 12
Association of FKBP5 polymorphisms and resting-state activity in a frontotemporal–parietal network
Bryant, R. A., Felmingham, K. L., Liddell, B. J., Das, P., & Malhi, G. S. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.149 · Cited by 12
Hypnotizability-Related Asymmetries: A Review
Pascalis, V. D., & Santarcangelo, E. L. (2020) · Symmetry · doi:10.3390/sym12061015 · Cited by 12
Neural correlates of the natural observation of an emotionally loaded video
Nanni‐Zepeda, M., Martínez-Soto, J., González-Santos, L., & Barrios, F. A. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198731 · Cited by 12
Berre, A. L., Müller‐Oehring, E. M., Schulte, T., Serventi, M. R., Pfefferbaum, A., & Sullivan, E. V. (2017) · Cortex · doi:10.1016/j.cortex.2017.07.016 · Cited by 12
Spectral signatures of mirror movements in the sensori‐motor connectivity in kallmann syndrome
Manara, R., Nardo, F. D., Salvalaggio, A., Sinisi, A. A., Bonanni, G., Palumbo, V., Cantone, E., Brunetti, A., Salle, F. D., D'Errico, A., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23806 · Cited by 12
Actividad funcional cerebral en estado de reposo: redes en conexión
Proal, E., Segura, M. Á., de la Iglesia-Vayá, M., Martí‐Bonmatí, L., Castellanos, F. X., & Spanish Resting State Network Spanish Resting State Network (2011) · Revista de Neurología · doi:10.33588/rn.52s01.2010792 · Cited by 12
Brain Network Modularity During a Sustained Working-Memory Task
Moraschi, M., Mascali, D., Tommasin, S., Gili, T., Hassan, I. E., Fratini, M., DiNuzzo, M., Wise, R. G., Mangia, S., Macaluso, E., et al. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00422 · Cited by 11
Effects of Ketamine and Midazolam on Simultaneous EEG/fMRI Data During Working Memory Processes
Forsyth, A., McMillan, R. L., Dukart, J., Hipp, J. F., & Muthukumaraswamy, S. D. (2021) · Brain Topography · doi:10.1007/s10548-021-00876-8 · Cited by 11
Perigenual anterior cingulate event-related potential precedes stop signal errors
Chang, A., Chen, C., Li, H.-H., & Li, C. R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.017 · Cited by 12
The Emergent Self: How Distributed Neural Networks Support Self-Representation
Molnar-Szakacs, I., & Uddin, L. Q. (2012) · Handbooks of sociology and social research · doi:10.1007/978-94-007-4473-8_13 · Cited by 11
Niazy, R. K., Cole, D. M., Beckmann, C. F., & Smith, S. M. (2015) · Biological magnetic resonance · doi:10.1007/978-1-4899-7591-1_14 · Cited by 11
Consciencia, cognición y redes neuronales: nuevas perspectivas
Aldana, E. M., Valverde, J. L., & Fàbregas, N. (2015) · Revista Española de Anestesiología y Reanimación · doi:10.1016/j.redar.2015.04.005 · Cited by 11
Marchitelli, R., Collignon, O., & Jovicich, J. (2017) · Brain Connectivity · doi:10.1089/brain.2016.0450 · Cited by 11
Gerrits, N. J. H. M., van den Heuvel, O. A., & van der Werf, Y. D. (2015) · BMC Neuroscience · doi:10.1186/s12868-015-0181-3 · Cited by 11
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review