The DOI matches its Crossref record; 45 of the 46 references it cites were found in a registry or an index.
Intrinsic functional architecture in the anaesthetized monkey brain
Abstract
The traditional approach to studying brain function is to measure physiological responses to controlled sensory, motor and cognitive paradigms. However, most of the brain's energy consumption is devoted to ongoing metabolic activity not clearly associated with any particular stimulus or behaviour. Functional magnetic resonance imaging studies in humans aimed at understanding this ongoing activity have shown that spontaneous fluctuations of the blood-oxygen-level-dependent signal occur continuously in the resting state. In humans, these fluctuations are temporally coherent within widely distributed cortical systems that recapitulate the functional architecture of responses evoked by experimentally administered tasks. Here, we show that the same phenomenon is present in anaesthetized monkeys even at anaesthetic levels known to induce profound loss of consciousness. We specifically demonstrate coherent spontaneous fluctuations within three well known systems (oculomotor, somatomotor and visual) and the 'default' system, a set of brain regions thought by some to support uniquely human capabilities. Our results indicate that coherent system fluctuations probably reflect an evolutionarily conserved aspect of brain functional organization that transcends levels of consciousness.
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
“Functional architecture associated with sensory, motor, and cognitive tasks in humans are preserved during isoflurane anesthesia in nonhuman primates [149].”
From The Biology of General Anesthesia from Paramecium to Primate (2019) · cites this paper as [149]
In the citing paper
“there is ample evidence of robust functional connectivity between brain regions that lack direct structural connections28-29, 31.”
From Evolutionarily conserved prefrontal-amygdalar dysfunction in early-life anxiety (2014) · cites this paper as [28]
In the citing paper
“fMRI-derived measures of intrinsic functional connectivity are particularly useful because they are sensitive to functional networks spanning polysynaptic circuits27-29”
From Evolutionarily conserved prefrontal-amygdalar dysfunction in early-life anxiety (2014) · cites this paper as [28]
In the citing paper
“In addition, we report all injection sites by their stereotaxic coordinates in the F99 atlas space. This provides an even finer granularity for objectively comparing our connectivity data to alternative parcellation schemes and to other data modalities such as functional connectivity revealed by functional magnetic resonance imaging (fMRI) (Vincent et al. 2007) and structural connectivity revealed”
From A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex (2014) · cites this paper as Vincent et al. 2007
Citations
Cites
Baltosser, W. H., & Zar, J. H. (1996) · Ecology · doi:10.2307/2265725 · Cited by 35,166
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
Self-citationCo-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
Self-citationCo-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565
Neuronal Oscillations in Cortical Networks
Buzsáki, G., & Draguhn, A. (2004) · Science · doi:10.1126/science.1099745 · Cited by 6,576
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
(2023) · doi:10.1126/science · Cited by 6,063
Signals from Chloroplasts Converge to Regulate Nuclear Gene Expression
Koussevitzky, S., Nott, A., Mockler, T. C., Hong, F., Sachetto‐Martins, G., Surpin, M. A., Lim, J. C.-S., Mittler, R., & Chory, J. (2007) · Science · doi:10.1126/science.1140516 · Cited by 5,765
Research works printed but not linked: 2
- Brodmann, K. Localisation in the Cerebral Cortex (Smith-Gordon, London, 1994)
- Lewis, J. W. & Van Essen, D. C. Mapping of architectonic subdivisions in the macaque monkey, with emphasis on parieto-occipital cortex. J. Comp. Neurol. 428, 79–111 (2000) · DOI
Cited by
Sorted by citations
Items 601–700 of 1,004
Brain circuits implicated in psychogenic paralysis in conversion disorders and hypnosis
Vuilleumier, P. (2014) · Neurophysiologie Clinique/Clinical Neurophysiology · doi:10.1016/j.neucli.2014.01.003 · Cited by 82
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
Sheng, K., Fang, W., Su, M., Li, R., Zou, D., Han, Y., Wang, X., & Cheng, O. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084705 · Cited by 85
Cerebral responses to local and global auditory novelty under general anesthesia
Uhrig, L., Janssen, D., Dehaene, S., & Jarraya, B. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.004 · Cited by 87
Sensorimotor-independent development of hands and tools selectivity in the visual cortex
Striem-Amit, E., Vannuscorps, G., & Caramazza, A. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1620289114 · Cited by 82
Visually Driven Activation in Macaque Areas V2 and V3 without Input from the Primary Visual Cortex
Schmid, M. C., Panagiotaropoulos, T. I., Augath, M. A., Logothetis, N. K., & Smirnakis, S. M. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005527 · Cited by 82
Zyloney, C. E., Jensen, K. B., Polich, G. R., Loiotile, R. E., Cheetham, A., LaViolette, P. S., Tu, P., Kaptchuk, T. J., Gollub, R. L., & Kong, J. (2010) · Molecular Pain · doi:10.1186/1744-8069-6-80 · Cited by 82
Matsui, T., Tamura, K., Koyano, K. W., Takeuchi, D., Adachi, Y., Osada, T., & Miyashita, Y. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr019 · Cited by 82
Coutinho, J. F. P., Oliveira‐Silva, P., & Decety, J. (2014) · Journal of Counseling Psychology · doi:10.1037/cou0000021 · Cited by 99
Brain Connectivity in Pathological and Pharmacological Coma
Noirhomme, Q., Soddu, A., Lehembre, R., Vanhaudenhuyse, A., Boveroux, P., Boly, M., & Laureys, S. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00160 · Cited by 86
Neonatal brain injury and aberrant connectivity
Smyser, C. D., Wheelock, M. D., Limbrick, D. D., & Neil, J. J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.057 · Cited by 87
Yan, X., Kong, R., Xue, A., Yang, Q., Orbán, C., An, L., Holmes, A. J., Qian, X., Chen, J., Zuo, X., et al. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120010 · Cited by 86
Petrides, M., & Pandya, D. Ν. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-374236-0.10026-4 · Cited by 81
A correlation-matrix-based hierarchical clustering method for functional connectivity analysis
Liu, X., Zhu, X., Qiu, P., & Chen, W. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2012.08.016 · Cited by 83
Early Functional Connectome Integrity and 1-Year Recovery in Comatose Survivors of Cardiac Arrest
Sair, H. I., Hannawi, Y., Li, S., Kornbluth, J. A., Athena Demertzi, A., Perri, C. D., Chabanne, R., Jean, B., Benali, H., Perlbarg, V., et al. (2017) · Radiology · doi:10.1148/radiol.2017162161 · Cited by 81
The history and future of resting-state functional magnetic resonance imaging
Biswal, B. B., & Uddin, L. Q. (2025) · Nature · doi:10.1038/s41586-025-08953-9 · Cited by 87
Linking human brain local activity fluctuations to structural and functional network architectures
Baria, A. T., Mansour, A. R., Huang, L., Baliki, M. N., Cecchi, G., Mesulam, M. M., & Apkarian, A. V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.01.072 · Cited by 84
Neurocognitive networks: Findings, models, and theory
Meehan, T. P., & Bressler, S. L. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.08.002 · Cited by 84
Macroscale cortical organization and a default-like apex transmodal network in the marmoset monkey
Buckner, R. L., & Margulies, D. S. (2019) · Nature Communications · doi:10.1038/s41467-019-09812-8 · Cited by 81
Chan, A. W., Mohajerani, M. H., LeDue, J. M., Wang, Y. T., & Murphy, T. H. (2015) · Nature Communications · doi:10.1038/ncomms8738 · Cited by 79
Interactions between Intrinsic and Stimulus-Evoked Activity in Recurrent Neural Networks
Abbott, L. F., Rajan, K., & Sompolinsky, H. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195393798.003.0004 · Cited by 79
Sellers, K. K., Bennett, D., Hutt, A., Williams, J. H., & Frӧhlich, F. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00923.2014 · Cited by 87
Study protocol: the Whitehall II imaging sub-study
Filippini, N., Zsoldos, E., Haapakoski, R., Sexton, C. E., Mahmood, A., Allan, C. L., Topiwala, A., Valkanova, V., Brunner, E. J., Shipley, M. J., et al. (2014) · BMC Psychiatry · doi:10.1186/1471-244x-14-159 · Cited by 82
Functional connectivity with the retrosplenial cortex predicts cognitive aging in rats
Ash, J. A., Lu, H., Taxier, L. R., Long, J. M., Yang, Y., Stein, E. A., & Rapp, P. R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525309113 · Cited by 82
Zhang, J., Andreano, J. M., Dickerson, B. C., Touroutoglou, A., & Barrett, L. F. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz071 · Cited by 82
Anticevic, A., Cole, M. W., Repovš, G., Savić, A., Driesen, N. R., Yang, G., Cho, Y., Murray, J. D., Glahn, D. C., Wang, X., et al. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00169 · Cited by 80
Leuthardt, E. C., Guzmán, G., Bandt, S. K., Hacker, C. D., Vellimana, A. K., Limbrick, D. D., Milchenko, M. V., LaMontagne, P., Speidel, B. A., Roland, J. L., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198349 · Cited by 78
Self-citationOler, J. A., Tromp, D., Fox, A. S., Kovner, R., Davidson, R. J., Alexander, A. L., McFarlin, D. R., Birn, R. M., Berg, B. E., deCampo, D. M., et al. (2016) · Brain Structure and Function · doi:10.1007/s00429-016-1198-9 · Cited by 82
A macaque connectome for large-scale network simulations in TheVirtualBrain
Shen, K., Bezgin, G., Schirner, M., Ritter, P., Everling, S., & McIntosh, A. R. (2019) · Scientific Data · doi:10.1038/s41597-019-0129-z · Cited by 78
Basal forebrain contributes to default mode network regulation
Nair, J., Klaassen, A.-L., Arato, J., Vyssotski, A. L., Harvey, M., & Rainer, G. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1712431115 · Cited by 77
Adolescent brain development and contextual influences: a decade in review
Galván, A. (2021) · Journal of Research on Adolescence · doi:10.1111/jora.12687 · Cited by 77
Dong, G., Lin, X., Hu, Y., Xie, C., & Du, X. (2015) · Scientific Reports · doi:10.1038/srep09197 · Cited by 76
Untangling Brain-Wide Dynamics in Consciousness by Cross-Embedding
Tajima, S., Yanagawa, T., Fujii, N., & Toyoizumi, T. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004537 · Cited by 76
The use of functional and effective connectivity techniques to understand the developing brain
Goldenberg, D., & Galván, A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.01.011 · Cited by 78
Brain activity is not only for thinking
Laumann, T. O., & Snyder, A. Z. (2021) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2021.04.002 · Cited by 78
Self-citationCognitive Computation with Autonomously Active Neural Networks: An Emerging Field
Gros, C. (2009) · Cognitive Computation · doi:10.1007/s12559-008-9000-9 · Cited by 76
Caffeine reduces resting-state BOLD functional connectivity in the motor cortex
Rack-Gomer, A. L., Liau, J., & Liu, T. T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.02.001 · Cited by 76
Functional connectivity for somatosensory and motor cortex in spastic diplegia
Burton, H., Dixit, S., Litkowski, P., & Wingert, J. R. (2009) · Somatosensory & Motor Research · doi:10.3109/08990220903335742 · Cited by 81
Consciousness and cerebral baseline activity fluctuations
Boly, M., Phillips, C. L. M., Balteau, E., Schnakers, C., Degueldre, C., Moonen, G., Luxen, A., Peigneux, P., Faymonville, M.-É., Maquet, P., et al. (2008) · Human Brain Mapping · doi:10.1002/hbm.20602 · Cited by 82
Gorges, M., Roselli, F., Müller, H.-P., Ludolph, A. C., Rasche, V., & Kassubek, J. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00200 · Cited by 76
The Costs and Benefits of Cognitive Control for Creativity
Chrysikou, E. G. (2018) · Cambridge University Press eBooks · doi:10.1017/9781316556238.018 · Cited by 81
Coevolution of Gyral Folding and Structural Connection Patterns in Primate Brains
Chen, H., Zhang, T., Guo, L., Li, K., Yu, X., Li, L., Hu, X., Han, J., Hu, X. P., & Liu, T. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs113 · Cited by 76
Neuroimaging insights into network-based neurodegeneration
Greicius, M. D., & Kimmel, D. L. (2012) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32835a26b3 · Cited by 76
Bellana, B., Liu, Z. ‐., Diamond, N. B., Grady, C. L., & Moscovitch, M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23445 · Cited by 75
Xu, A. G., Qian, M., Tian, F., Xu, B., Friedman, R. M., Wang, J., Song, X. M., Sun, Y., Chernov, M. M., Cayce, J. M., et al. (2019) · Science Advances · doi:10.1126/sciadv.aau7046 · Cited by 74
Neuronal Origin of the Temporal Dynamics of Spontaneous BOLD Activity Correlation
Matsui, T., Murakami, T., & Ohki, K. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy045 · Cited by 79
Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints
Liégeois, R., Ziegler, E., Phillips, C. L. M., Geurts, P., Gómez, F. A., Bahri, M. A., Yeo, B. T. T., Soddu, A., Vanhaudenhuyse, A., Laureys, S., et al. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1083-y · Cited by 74
Classifying fMRI-derived resting-state connectivity patterns according to their daily rhythmicity
Blautzik, J., Vetter, C., Peres, I., Gutyrchik, E., Keeser, D., Berman, A., Kirsch, V., Mueller, S., Pöppel, E., Reiser, M. F., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.010 · Cited by 77
Vuksanović, V., & Hövel, P. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.039 · Cited by 74
He, B. J., & Zempel, J. M. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003348 · Cited by 75
Self-citationA Multisensory Network for Olfactory Processing
Maier, J. X., Blankenship, M. L., Li, J. X., & Katz, D. B. (2015) · Current Biology · doi:10.1016/j.cub.2015.08.060 · Cited by 76
Stenroos, P., Paasonen, J., Salo, R. A., Jokivarsi, K. T., Shatillo, A., Tanila, H., & Gröhn, O. H. J. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00548 · Cited by 76
Gargouri, F., Galléa, C., Mongin, M., Pyatigorskaya, N., Valabrègue, R., Ewenczyk, C., Sarazin, M., Yahia‐Cherif, L., Vidailhet, M., & Lehéricy, S. (2018) · Movement Disorders · doi:10.1002/mds.27561 · Cited by 72
An evolutionary gap in primate default mode network organization
Garin, C. M., Hori, Y., Everling, S., Whitlow, C. T., Calabro, F. J., Luna, B., Froesel, M., Gacoin, M., Hamed, S. B., Dhénain, M., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110669 · Cited by 72
Primate comparative neuroscience using magnetic resonance imaging: promises and challenges
Mars, R., Neubert, F.-X., Verhagen, L., Sallet, J., Miller, K., Dunbar, R. I. M., & Barton, R. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00298 · Cited by 64
Functional Connectivity of the Macaque Brain across Stimulus and Arousal States
Moeller, S., Nallasamy, N., Tsao, D. Y., & Freiwald, W. A. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0220-09.2009 · Cited by 76
A functional model of cortical gyri and sulci
Deng, F., Jiang, X., Zhu, D., Zhang, T., Li, K., Guo, L., & Liu, T. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0581-z · Cited by 73
Injury alters intrinsic functional connectivity within the primate spinal cord
Chen, L. M., Mishra, A., Yang, P., Wang, F., & Gore, J. C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1424106112 · Cited by 72
Altered cerebellar connectivity in Parkinson's patients ON and OFF L-DOPA medication
Festini, S. B., Bernard, J. A., Kwak, Y., Peltier, S., Bohnen, N. I., Müller, M. L. T. M., Dayalu, P., & Seidler, R. D. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00214 · Cited by 71
Picchioni, D., Horovitz, S. G., Fukunaga, M., Carr, W. S., Meltzer, J. A., Balkin, T. J., Duyn, J. H., & Braun, A. R. (2010) · Brain Research · doi:10.1016/j.brainres.2010.12.035 · Cited by 71
Intrinsic Network Connectivity Reflects Consistency of Synesthetic Experiences
Dovern, A., Fink, G. R., Fromme, A. C. B., Wohlschläger, A. M., Weiss, P. H., & Riedl, V. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5401-11.2012 · Cited by 73
LeBlanc, B. W., Lii, T. R., Huang, J. J., Chao, Y.-C., Bowary, P. M., Cross, B., Lee, M. S., Vera–Portocarrero, L. P., & Saab, C. Y. (2015) · Pain · doi:10.1097/j.pain.0000000000000362 · Cited by 71
Evidence That Default Network Connectivity During Rest Consolidates Social Information
Meyer, M. L., Davachi, L., Ochsner, K. N., & Lieberman, M. D. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy071 · Cited by 74
Reimann, H. M., & Niendorf, T. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.00008 · Cited by 75
Jarrahi, B., Mantini, D., Balsters, J. H., Michels, L., Kessler, T. M., Mehnert, U., & Kollias, S. (2015) · Human Brain Mapping · doi:10.1002/hbm.22929 · Cited by 74
A Common Space Approach to Comparative Neuroscience
Mars, R. B., Jbabdi, S., & Rushworth, M. F. S. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100220-025942 · Cited by 70
Principles of cortical areas and their implications for neuroimaging
Petersen, S. E., Seitzman, B. A., Nelson, S. M., Wig, G. S., & Gordon, E. M. (2024) · Neuron · doi:10.1016/j.neuron.2024.05.008 · Cited by 77
Marrelec, G., & Fransson, P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0014788 · Cited by 70
The neural mechanisms of face processing: cells, areas, networks, and models
Freiwald, W. A. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.12.007 · Cited by 69
Perl, Y. S., Pallavicini, C., Ipiña, I. P., Athena Demertzi, A., Bonhomme, V. L., Martial, C., Panda, R., Annen, J., Ibáñez, A. M., Kringelbach, M. L., et al. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009139 · Cited by 71
Defining Neurocognitive Networks in the BOLD New World of Computed Connectivity
Mesulam, M. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.001 · Cited by 72
Resting-State Connectivity Identifies Distinct Functional Networks in Macaque Cingulate Cortex
Hutchison, R. M., Womelsdorf, T., Gati, J. S., Leung, L.-W. S., Menon, R. S., & Everling, S. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr181 · Cited by 72
Stewart, J. M., Medow, M. S., Messer, Z. R., Baugham, I. L., Terilli, C., & Ocon, A. J. (2011) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00994.2011 · Cited by 69
Scalp EEG brain functional connectivity networks in pediatric epilepsy
Sargolzaei, S., Cabrerizo, M., Goryawala, M., Eddin, A. S., & Adjouadi, M. (2014) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2014.10.018 · Cited by 69
Shen, H. H. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518785112 · Cited by 69
Bettinardi, R. G., Tort-Colet, N., Ruiz-Mejias, M., Sanchez-Vives, M. V., & Deco, G. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.037 · Cited by 68
Functional connectivity and the sleep-deprived brain
Chee, M. W. L., & Zhou, J. (2019) · Progress in brain research · doi:10.1016/bs.pbr.2019.02.009 · Cited by 68
Grand Challenges in Mapping the Human Brain: NSF Workshop Report
He, B., Coleman, T. P., Genin, G. M., Glover, G. H., Hu, X. P., Johnson, N., Liu, T., Makeig, S., Sajda, P., & Ye, K. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2283970 · Cited by 69
Kojima, T., Onoe, H., Hikosaka, K., Tsutsui, K., Tsukada, H., & Watanabe, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1786-09.2009 · Cited by 68
Boyatzis, R. E., & Jack, A. I. (2018) · Consulting psychology journal · doi:10.1037/cpb0000095 · Cited by 75
Song, M., Du, H., Wu, N., Hou, B., Wu, G.-C., Wang, J., Feng, H., & Jiang, T. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017294 · Cited by 68
Dynamic Connectivity Patterns in Conscious and Unconscious Brain
Ma, Y., Hamilton, C. M., & Zhang, N. (2016) · Brain Connectivity · doi:10.1089/brain.2016.0464 · Cited by 71
A role for the claustrum in cognitive controlPreprint
Madden, M. B., Stewart, B. W., White, M. G., Krimmel, S. R., Qadir, H., Barrett, F. S., Seminowicz, D. A., & Mathur, B. N. (2022) · PsyArXiv (OSF Preprints) · doi:10.1016/j.tics.2022.09.006 · Cited by 76
Oler, J. A., Birn, R. M., Patriat, R., Fox, A. S., Shelton, S. E., Burghy, C. A., Stodola, D. E., Essex, M. J., Davidson, R. J., & Kalin, N. H. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.045 · Cited by 67
Amygdala–cingulate intrinsic connectivity is associated with degree of social inhibition
Blackford, J. U., Clauss, J. A., Avery, S. N., Cowan, R. L., Benningfield, M. M., & VanDerKlok, R. M. (2014) · Biological Psychology · doi:10.1016/j.biopsycho.2014.02.003 · Cited by 67
Long-term alterations in brain and behavior after postnatal Zika virus infection in infant macaques
Raper, J., Kovacs-Balint, Z., Mavigner, M., Gumber, S., Burke, M. W., Habib, J., Mattingly, C., Fair, D., Earl, E., Feczko, E., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16320-7 · Cited by 67
Perri, C. D., Amico, E., Heine, L., Annen, J., Martial, C., Larroque, S. K., Soddu, A., Marinazzo, D., & Laureys, S. (2017) · Human Brain Mapping · doi:10.1002/hbm.23826 · Cited by 67
Lv, Q., Yang, L., Li, G., Wang, Z., Shen, Z., Yu, W., Jiang, Q., Hou, B., Pu, J., Hu, H., et al. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.02.028 · Cited by 70
Default activity patterns at the neocortical microcircuit level
Luczak, A., & MacLean, J. N. (2012) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2012.00030 · Cited by 69
Dietary Omega-3 Fatty Acids Modulate Large-Scale Systems Organization in the Rhesus Macaque Brain
Grayson, D. S., Kroenke, C. D., Neuringer, M., & Fair, D. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3038-13.2014 · Cited by 68
Fling, B. W., Peltier, S., Bo, J., Welsh, R. C., & Seidler, R. D. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00038 · Cited by 72
Bäuml, J., Daamen, M., Meng, C., Neitzel, J., Scheef, L., Jaekel, J., Busch, B., Baumann, N., Bartmann, P., Dieter Wolke, C., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu133 · Cited by 74
Causal evidence of performance monitoring by neurons in posterior cingulate cortex during learning
Heilbronner, S. R., & Platt, M. L. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.028 · Cited by 66
Altered temporal variance and neural synchronization of spontaneous brain activity in anesthesia
Huang, Z., Wang, Z., Zhang, J., Dai, R., Wu, J., Li, Y., Liang, W., Mao, Y. Q., Yang, Z. H., Holland, G., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22556 · Cited by 69
Resting state functional connectivity analysis for addiction medicine
Pariyadath, V., Gowin, J. L., & Stein, E. A. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.07.015 · Cited by 68
Cole, D. M., Beckmann, C. F., Searle, G. E., Plisson, C., Tziortzi, A. C., Nichols, T. E., Gunn, R. N., Matthews, P. M., Rabiner, E. A., & Beaver, J. D. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr354 · Cited by 68
Pais‐Roldán, P., Takahashi, K., Sobczak, F., Chen, Y., Zhao, X., Zeng, H., Jiang, Y., & Yu, X. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1909937117 · Cited by 67
A Putative Multiple-Demand System in the Macaque Brain
Mitchell, D. J., Bell, A. H., Buckley, M. J., Mitchell, A. S., Sallet, J., & Duncan, J. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.0810-16.2016 · Cited by 65
Distributed Dynamical Computation in Neural Circuits with Propagating Coherent Activity Patterns
Gong, P., & van Leeuwen, C. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000611 · Cited by 66
Mapping functional connectivity based on synchronized CMRO2 fluctuations during the resting state
Wu, C. W., Gu, H., Lu, H., Stein, E. A., Chen, J., & Yang, Y. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.066 · Cited by 65
Metadata
- Authors
- Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Raichle, M. E.
- ORCID
- Venue
- Nature
- Published
- 2007-05
- Volume
- 447
- Issue
- 7140
- Pages
- 83-86
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2027781650
- Cited by
- 1,786
- References
- 46
- Citations by year
- 2026: 25 · 2025: 34 · 2024: 58 · 2023: 61 · 2022: 67 · 2021: 65 · 2020: 81 · 2019: 81 · 2018: 107 · 2017: 100 · 2016: 111 · 2015: 132 · 2014: 125 · 2013: 150 · 2012: 120
- FWCI
- 51.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (F31NS051972)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- spontaneous neural fluctuations, resting-state brain activity, default mode network, oculomotor system, visual system, functional architecture, primate brain evolution, cross-species conservation, BOLD signal
- MeSH terms
- Anesthesia, Animals, Brain, Brain Mapping, Consciousness, Humans, Isoflurane, Macaca fascicularis, Macaca mulatta, Magnetic Resonance Imaging, Visual Cortex, Anesthetics, Inhalation
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