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Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain
Open accessAbstract
During rest, multiple cortical brain regions are functionally linked forming resting‐state networks. This high level of functional connectivity within resting‐state networks suggests the existence of direct neuroanatomical connections between these functionally linked brain regions to facilitate the ongoing interregional neuronal communication. White matter tracts are the structural highways of our brain, enabling information to travel quickly from one brain region to another region. In this study, we examined both the functional and structural connections of the human brain in a group of 26 healthy subjects, combining 3 Tesla resting‐state functional magnetic resonance imaging time‐series with diffusion tensor imaging scans. Nine consistently found functionally linked resting‐state networks were retrieved from the resting‐state data. The diffusion tensor imaging scans were used to reconstruct the white matter pathways between the functionally linked brain areas of these resting‐state networks. Our results show that well‐known anatomical white matter tracts interconnect at least eight of the nine commonly found resting‐state networks, including the default mode network, the core network, primary motor and visual network, and two lateralized parietal‐frontal networks. Our results suggest that the functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain. Hum Brain Mapp 2009. © 2009 Wiley‐Liss, Inc.
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“Anterior and posterior callosal fibres and fibres such as the inferior-fronto-occipital fasciculus provide major connections within the anterior and posterior components of the default mode network regions (van den Heuvel et al., 2009)”
From White matter diffusion alterations precede symptom onset in autosomal dominant Alzheimer’s disease (2018) · cites this paper as van den Heuvel et al., 2009
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“The AIC and ACC are known to be functionally (Taylor et al., 2009) and structurally (van den Heuvel et al., 2009) connected.”
From An Interoceptive Predictive Coding Model of Conscious Presence (2012) · cites this paper as van den Heuvel et al., 2009
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“higher FA has been associated with better functional connectivity between anatomically distant gray matter regions using resting-state fMRI (functional MRI) 35,47,48”
From Physical exercise keeps the brain connected: biking increases white matter integrity in patients with schizophrenia and healthy controls. (2015) · cites this paper as [47]
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Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060
Normalized cuts and image segmentation
Shi, J., & Malik, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868688 · Cited by 15,935
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 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
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
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
Efficient behavior of small-world networks
Latora, V., & Marchiori, M. (2001) · Physical Review Letters · doi:10.1103/physrevlett.87.198701 · Cited by 5,119
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging
Mori, S., Crain, B. J., Chacko, V. P., & van Zijl, P. C. M. (1999) · Annals of Neurology · doi:10.1002/1531-8249(199902)45:2 · Cited by 3,513
Andersson, J. L. R., Skare, S., & Ashburner, J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00336-7 · Cited by 3,469
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 1×
“The T1 image was spatially normalized (nonlinear) to match the MNI 305 T1 template brain [Collins et al., 1994] and the fMRI time-series and the cortical segmentation map were normalized (nonlinear) to standard space by using the normalization parameters of the T1 image.”
MethodInvestigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398
Searching 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
Sridharan, D., Levitin, D. J., & Menon, V. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800005105 · Cited by 2,892
Wandering minds: the default network and stimulus-independent thought
Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007) · Science · doi:10.1126/science.1131295 · Cited by 2,792
Distinct brain networks for adaptive and stable task control in humans
Dosenbach, N. U. F., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A. T., Fox, M. D., Snyder, A. Z., Vincent, J. L., Raichle, M. E., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0704320104 · Cited by 2,632
Efficiency and Cost of Economical Brain Functional Networks
Achard, S., & Bullmore, E. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030017 · Cited by 2,553
Achard, S., Salvador, R., Whitcher, B., Suckling, J., & Bullmore, E. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3874-05.2006 · Cited by 2,393
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175
A default mode of brain function: a brief history of an evolving idea
Raichle, M. E., & Snyder, A. Z. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.041 · Cited by 2,173
Fiber Tract–based Atlas of Human White Matter Anatomy
Wakana, S., Jiang, H., Nagae‐Poetscher, L. M., van Zijl, P. C. M., & Mori, S. (2004) · Radiology · doi:10.1148/radiol.2301021640 · Cited by 2,023
Fiber tracking: principles and strategies – a technical review
Mori, S., & van Zijl, P. C. M. (2002) · NMR in Biomedicine · doi:10.1002/nbm.781 · Cited by 2,019
Functional Connectivity: The Principal-Component Analysis of Large (PET) Data Sets
Friston, K. J., Frith, C., Liddle, P. F., & Frackowiak, R. S. J. (1993) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1993.4 · Cited by 1,997
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869
Disruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592
Fiber tract-based atlas of human white matter anatomy
Wakana, S. (2006) · Medical Entomology and Zoology · Cited by 1,531
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
Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations
Lowe, M. J., Mock, B. J., & Sorenson, J. A. (1998) · NeuroImage · doi:10.1006/nimg.1997.0315 · Cited by 1,394
Neurophysiological Architecture of Functional Magnetic Resonance Images of Human Brain
Salvador, R. M., John Suckling, A., Coleman, M. R., Pickard, J. D., Menon, D. K., & Bullmore, E. T. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi016 · Cited by 1,334
Small-World Networks and Functional Connectivity in Alzheimer's Disease
Stam, C. J., Jones, B. F., Nolte, G., Breakspear, M. J., & Scheltens, P. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj127 · Cited by 1,295
fMRI resting state networks define distinct modes of long-distance interactions in the human brain
De Luca, M., Beckmann, C. F., De Stefano, N., Matthews, P. M., & Smith, S. M. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.08.035 · Cited by 1,241
Reduced resting-state brain activity in the “default network” in normal aging
Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J. S., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Rombouts, S. A. R. B. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm207 · Cited by 1,187 · cited 2×
“Aging has been related to reduced resting-state activity [Damoiseaux et al., 2008] and decreased levels of fractional anisotropy of white matter [Makris et al.”
BackgroundSchmahmann, J. D., & Pandya, D. N. (2006) · doi:10.1093/acprof:oso/9780195104233.001.0001 · Cited by 1,157
Dynamics of neuronal firing correlation: modulation of "effective connectivity"
Aertsen, A. M. H. J., Gerstein, G. L., Habib, M., & Palm, G. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.5.900 · Cited by 1,073
Schmahmann, J. D., Pandya, D. N., Wang, R., Dai, G., D'Arceuil, H. E., de Crespigny, A. J., & Wedeen, V. J. (2007) · Brain · doi:10.1093/brain/awl359 · Cited by 1,067
Disrupted small-world networks in schizophrenia
Liu, Y., Liang, M., Zhou, Y., Yong He, A., Hao, Y., Song, M., Yu, C., Liu, H., Liu, Z., & Jiang, T. (2008) · Brain · doi:10.1093/brain/awn018 · Cited by 1,038
Mapping functionally related regions of brain with functional connectivity MR imaging.
Cordes, D., Haughton, V. M., Arfanakis, K., Wendt, G. J., Turski, P. A., Moritz, C. H., Quigley, M., & Meyerand, M. E. (2000) · PubMed Central · Cited by 908
Cingulate cortex of the rhesus monkey: II. Cortical afferents
Vogt, B. A., & Pandya, D. N. (1987) · Journal of Comparative Neurology · doi:10.1002/cne.902620208 · Cited by 854
Jones, D. K. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20033 · Cited by 794
Mapping Human Whole-Brain Structural Networks with Diffusion MRI
Hagmann, P., Kurant, M., Gigandet, X., Thiran, P., Wedeen, V. J., Meuli, R., & Thiran, J.-P. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000597 · Cited by 788
A review of diffusion tensor imaging studies in schizophrenia
Kubicki, M., McCarley, R., Westin, C.-F., Park, H.-J., Maier, S., Kikinis, R., Jolesz, F. A., & Shenton, M. E. (2007) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2005.05.005 · Cited by 769
van den Heuvel, M. P., Stam, C. J., Boersma, M., & Pol, H. E. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.08.010 · Cited by 745
Wise, R. G., Ide, K., Poulin, M. J., & Tracey, I. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.025 · Cited by 664
RESTORE: Robust estimation of tensors by outlier rejection
Chang, L., Jones, D. K., & Pierpaoli, C. M. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20426 · Cited by 611
Shmuel, A., & Leopold, D. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20580 · Cited by 584
Bluhm, R. L., Miller, J., Lanius, R. A., Osuch, E. A., Boksman, K., Neufeld, R. W. J., Théberge, J., Schaefer, B., & Williamson, P. (2007) · Schizophrenia Bulletin · doi:10.1093/schbul/sbm052 · Cited by 578
Imaging cortical association tracts in the human brain using diffusion‐tensor‐based axonal tracking
Mori, S., Kaufmann, W. E., Davatzikos, C. A., Stieltjes, B., Amodei, L., Fredericksen, K., Pearlson, G. D., Melhem, E. R., Solaiyappan, M., Raymond, G. V., et al. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10074 · Cited by 558
Stam, C. J. (2003) · Neuroscience Letters · doi:10.1016/j.neulet.2003.10.063 · Cited by 550
Shmueli, K., van Gelderen, P., de Zwart, J. A., Horovitz, S. G., Fukunaga, M., Jansma, J. M., & Duyn, J. H. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.07.037 · Cited by 546
An investigation of functional and anatomical connectivity using magnetic resonance imaging
Koch, M. A., Norris, D. G., & Hund-Georgiadis, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.1052 · Cited by 509
Studying connections in the living human brain with diffusion MRI
Jones, D. K. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.002 · Cited by 497
Nir, Y., Mukamel, R., Dinstein, I., Privman, E., Harel, M., Fisch, L., Gelbard-Sagiv, H., Kipervasser, S., Andelman, F., Neufeld, M. Y., et al. (2008) · Nature Neuroscience · doi:10.1038/nn.2177 · Cited by 492
Intrinsic functional relations between human cerebral cortex and thalamus
Zhang, D., Snyder, A. Z., Fox, M. D., Sansbury, M. W., Shimony, J. S., & Raichle, M. E. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90463.2008 · Cited by 437
Undirected graphs of frequency-dependent functional connectivity in whole brain networks
Salvador, R., Suckling, J., Schwarzbauer, C., & Bullmore, E. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1645 · Cited by 437
Small-world networks and disturbed functional connectivity in schizophrenia
Micheloyannis, S., Pachou, E., Stam, C. J., Breakspear, M. J., Bitsios, P., Vourkas, M., Erimaki, S., & Zervakis, M. E. (2006) · Schizophrenia Research · doi:10.1016/j.schres.2006.06.028 · Cited by 435
DTI and MTR abnormalities in schizophrenia: Analysis of white matter integrity
Kubicki, M. R., Park, H., Westin, C., Nestor, P. G., Mulkern, R. V., Maier, S. E., Niznikiewicz, M. A., Connor, E. E., Levitt, J. J., Frumin, M., et al. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.026 · Cited by 433
Normalized Cut Group Clustering of Resting-State fMRI Data
van den Heuvel, M. P., Mandl, R. C. W., & Pol, H. E. H. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002001 · Cited by 418
Self-citationLiang, M., Zhou, Y., Jiang, T., Liu, Z., Tian, L., Liu, H., & Hao, Y. (2006) · Neuroreport · doi:10.1097/01.wnr.0000198434.06518.b8 · Cited by 402
Hulshoff Pol, H. E., & Kahn, R. S. (2007) · Schizophrenia Bulletin · doi:10.1093/schbul/sbm168 · Cited by 364
Self-citationvan den Heuvel, M., Mandl, R., Luigjes, J., & Hulshoff Pol, H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2964-08.2008 · Cited by 349
Self-citationCorrelations in Low-Frequency BOLD Fluctuations Reflect Cortico-Cortical Connections
Lowe, M. J., Džemidžić, M., Lurito, J. T., Mathews, V. P., & Phillips, M. D. (2000) · NeuroImage · doi:10.1006/nimg.2000.0654 · Cited by 305
Johnston, J. M., Vaishnavi, S. N., Smyth, M. D., Zhang, D., He, B. J., Zempel, J. M., Shimony, J. S., Snyder, A. Z., & Raichle, M. E. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.0573-08.2008 · Cited by 296
A Model-Based Method for Retrospective Correction of Geometric Distortions in Diffusion-Weighted EPI
Andersson, J., & Skare, S. T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1039 · Cited by 273
Focal Gray Matter Density Changes in Schizophrenia
Pol, H. E. H., Schnack, H. G., Mandl, R. C. W., van Haren, N. E. M., Koning, H., Collins, D. L., Evans, A. C., & Kahn, R. S. (2001) · Archives of General Psychiatry · doi:10.1001/archpsyc.58.12.1118 · Cited by 271
Self-citationBeaulieu, C., & Allen, P. S. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320506 · Cited by 240
Liu, H., Liu, Z., Liang, M., Hao, Y., Tan, L., Kuang, F., Yi, Y., Xu, L., & Jiang, T. (2005) · Neuroreport · doi:10.1097/01.wnr.0000195666.22714.35 · Cited by 239
Lowe, M. J., Beall, E. B., Sakaie, K. E., Koenig, K. A., Stone, L., Marrie, R. A., & Phillips, M. D. (2008) · Human Brain Mapping · doi:10.1002/hbm.20576 · Cited by 196
Abnormal anterior cingulum in patients with schizophrenia: a diffusion tensor imaging study
Sun, Z., Wang, F., Cui, L., Breeze, J. L., Du, X., Wang, X., Cong, Z., Zhang, H., Li, B., Hong, N., et al. (2003) · Neuroreport · doi:10.1097/00001756-200310060-00015 · Cited by 171
Focal white matter density changes in schizophrenia: reduced inter-hemispheric connectivity
Pol, H. E. H., Schnack, H. G., Mandl, R. C. W., Cahn, W., Collins, D. L., Evans, A. C., & Kahn, R. S. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.026 · Cited by 159
Self-citationFrontal connections and cognitive changes in normal aging rhesus monkeys: A DTI study.
Makris, N., Papadimitriou, G. M., van der Kouwe, A., Kennedy, D. N., Hodge, S. M., Dale, A. M., Benner, T., Wald, L. L., Wu, O., Tuch, D. S., et al. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.07.005 · Cited by 115
Attentional networks and cingulum bundle in chronic schizophrenia☆
Nestor, P. G., Kubicki, M. R., Spencer, K., Niznikiewicz, M. A., McCarley, R. W., & Shenton, M. E. (2006) · Schizophrenia Research · doi:10.1016/j.schres.2006.10.005 · Cited by 112
Salvador, R. M., Martínez-Pérez, Á., Pomarol‐Clotet, E., Sarró, S., John Suckling, A., & Bullmore, E. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.001 · Cited by 89
Region-specific changes of cerebral white matter during normal aging: A diffusion-tensor analysis
Yoon, B., Shim, Y., Lee, K., Shon, Y., & Yang, D. (2007) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2007.07.004 · Cited by 75
Diffusion Tensor Anisotropy in Adolescents and Adults
Schneiderman, J. S., Buchsbaum, M. S., Haznedar, M. M., Hazlett, E. A., Brickman, A. M., Shihabuddin, L., Brand, J. G., Torosjan, Y., Newmark, R. E., Tang, C. Y., et al. (2007) · Neuropsychobiology · doi:10.1159/000104277 · Cited by 51
Seo, Y., Shinar, H., Morita, Y., & Navon, G. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199909)42:3 · Cited by 19
Resting state fMRI signal correlations in multi-slice EPI
Lowe, M. J., Mock, B., & Sorenson, J. A. (1996) · NeuroImage · doi:10.1016/s1053-8119(96)80259-x · Cited by 14
Levine, J. D. (2007) · Nature Neuroscience · doi:10.1038/nn0108-8 · Cited by 11
Schmahmann, J. D., & Pandya, D. Ν. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195104233.003.0022 · Cited by 11
Biswal (1997) · doi:10.1002/(sici)1099-1492(199706/08)10:4/5
Xiong (1999) · doi:10.1002/(sici)1097-0193(1999)8:2/3
Basser (2000) · doi:10.1002/1522-2594(200010)44:4
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Metadata
- Authors
- van den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E.
- Affiliations
- University Medical Center Utrecht (NL)
- Venue
- Human Brain Mapping
- Publisher
- Wiley
- Published
- 2009-02-23
- Volume
- 30
- Issue
- 10
- Pages
- 3127-3141
- ISSN
- 1065-9471 (ISSN-L)
- 1097-0193
- PMC
- PMC6870902
- OpenAlex
- W2022671987
- Cited by
- 987
- References
- 84
- Citations by year
- 2026: 19 · 2025: 28 · 2024: 28 · 2023: 45 · 2022: 51 · 2021: 47 · 2020: 57 · 2019: 60 · 2018: 69 · 2017: 80 · 2016: 72 · 2015: 79 · 2014: 84 · 2013: 94 · 2012: 74
- FWCI
- 27.75
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Human Brain Mapping (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (submittedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- resting-state networks, functional connectivity, structural connectivity, white matter tracts, default mode network, core network, visual network
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Fibers, Myelinated, Nerve Net, Neural Pathways, Oxygen, Rest, Diffusion Magnetic Resonance Imaging, Young Adult
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 ›
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