The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“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
In the citing paper
“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]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Flagged first, then by citations
Cited by
Sorted by citations
Items 501–600 of 985
Cole, M., Murray, K. D., St‐Onge, E., Risk, B. B., Zhong, J., Schifitto, G., Descoteaux, M., & Zhang, Z. (2021) · Human Brain Mapping · doi:10.1002/hbm.25447 · Cited by 30
“…strength of FC is related to the anatomical pathways (SC) (F. D. Bowman, Zhang, Derado, & Chen, 2012; Goñi et al., 2014; Hermundstad et al., 2013; Van Den Heuvel, Mandl, Kahn, & Hulshoff Pol, 2009), while others concluded that the correlation between SC and FC is poor (Buckner, Krienen, & Yeo,…”
BackgroundReduced functional connectivity supports statistical learning of temporally distributed regularities
Park, J., Janacsek, K., Németh, D., & Jeon, H. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119459 · Cited by 29
Explainable fMRI ‐based brain decoding via spatial temporal‐pyramid graph convolutional network
Ye, Z., Qu, Y., Liang, Z., Wang, M., & Liu, Q. (2023) · Human Brain Mapping · doi:10.1002/hbm.26255 · Cited by 31
“Here, we utilize resting-state fMRI to form the brain graph G¼ V,Eð Þ, since there is evidence that restingstate functional connectivity is thought to be a good indicator of the structural connectome of the human brain to some extent (Hermundstad et al., 2013; Van Den Heuvel et al., 2009).”
MethodInsula-cingulate structural and functional connectivity: an ultra-high field MRI study
Cormie, M. A., Kaya, B., Hadjis, G. E., Mouseli, P., & Moayedi, M. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad244 · Cited by 30
Making Large-Scale Networks from fMRI Data
Schmittmann, V. D., Jahfari, S., Borsboom, D., Savi, A. O., & Waldorp, L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0129074 · Cited by 30
Park, B., Kim, D., & Park, H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0082873 · Cited by 29
Disrupted white matter structure underlies cognitive deficit in hypertensive patients
Li, X., Ma, C., Sun, X., Zhang, J., Chen, Y., Chen, K., & Zhang, Z. (2015) · European Radiology · doi:10.1007/s00330-015-4116-2 · Cited by 28
Interhemispheric functional connectivity in anorexia and bulimia nervosa
Canna, A., Prinster, A., Monteleone, A. M., Cantone, E., Monteleone, P., Volpe, U., Maj, M., Salle, F. D., & Esposito, F. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13507 · Cited by 28
Loss of functional connectivity is an early imaging marker in primary lateral sclerosis
Clark, M. G., Shoukry, R. S., Huang, C. J., Danielian, L. E., Bageac, D. V., & Floeter, M. K. (2018) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2018.1517180 · Cited by 28
Gu, Y., Liu, R., Qin, R., Chen, X., Zou, J., Jiang, Y., Ye, Q., Zhang, B., Bai, F., & Xu, Y. (2018) · Hypertension Research · doi:10.1038/s41440-018-0176-4 · Cited by 28
Chan, S. Y., Ong, Z. Y., Ngoh, Z. M., Chong, Y. S., Zhou, J. H., Fortier, M. V., Daniel, L. M., Qiu, A., Meaney, M. J., & Tan, A. P. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101107 · Cited by 28
A role for the anterior insular cortex in the global neuronal workspace model of consciousness
Michel, M. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2017.02.004 · Cited by 30
Sinha, N., Wang, Y., Dauwels, J., Kaiser, M., Thesen, T., Forsyth, R. J., & Taylor, P. N. (2019) · NeuroImage Clinical · doi:10.1016/j.nicl.2019.101655 · Cited by 29
Frequency‐specific functional connectivity related to the rehabilitation task of stroke patients
Lu, K., Xu, G., Li, W., Huo, C., Liu, Q., Lv, Z., Wang, Y., Li, Z., & Fan, Y. (2019) · Medical Physics · doi:10.1002/mp.13398 · Cited by 28
“The higher the consistency of the hemodynamic changes between specific cortical regions in a specific frequency band, the higher the consistency of the neural activity between these regions will be.(19,50,51) The physiological origin of the oscillations in the frequency band I (0.”
BackgroundYang, Z., Chen, H., Chen, Q., & Lin, H. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00014 · Cited by 27
“This network disconnectivity may be attributed to the following cirrhosis-induced abnormalities: (1) a disturbance in brain tissue energy metabolism given that many regions with decreased glucose uptake, as revealed by positron emission tomography, involve the three network areas described above (8, 9, 31); (2) an alt…”
BackgroundDysautonomia is associated with structural and functional alterations in Parkinson disease
Chung, S. J., Bae, Y. J., Jun, S., Yoo, H. S., Kim, S. W., Lee, Y. H., Sohn, Y. H., Lee, S., Seong, J., & Lee, P. H. (2019) · Neurology · doi:10.1212/wnl.0000000000007181 · Cited by 29
Segregated precuneus network and default mode network in naturalistic imaging
Deng, Z.-Z., Wu, J., Gao, J., Hu, Y., Zhang, Y., Wang, Y., Dong, H.-M., Yang, Z., & Zuo, X. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01953-2 · Cited by 27
Li, X., Xia, J., Ma, C., Chen, K., Xu, K., Zhang, J., Chen, Y., Li, H., Wei, D., & Zhang, Z. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz090 · Cited by 27
Gozdas, E., Fingerhut, H., Chromik, L. C., O'Hara, R. M., Reiss, A. L., & Hosseini, S. M. H. (2020) · Scientific Reports · doi:10.1038/s41598-020-66796-y · Cited by 27
Schlemm, E., Ingwersen, T., Königsberg, A., Boutitie, F., Ebinger, M., Endres, M., Fiebach, J. B., Fiehler, J., Galinović, I., Lemmens, R., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22786-w · Cited by 26
Magnetoencephalography applied to the study of Alzheimer's disease
López‐Sanz, D., Bruña, R., de Frutos‐Lucas, J., & Maestú, F. (2019) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2019.04.007 · Cited by 27
Crespi, C., Galandra, C., Manera, M. R., Basso, G., Poggi, P., & Canessa, N. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02479 · Cited by 28
“…et al., 2010) – an important hub of the central executive network (e.g., Seeley et al., 2007; Chen et al., 2013; Marstaller et al., 2015) – and the ACC (van der Knaap and van der Ham, 2011), and that both the genu microstructure and the DLPFC function have been associated to executive…”
BackgroundMarkett, S. A., Montag, C., Melchers, M., Weber, B., & Reuter, M. (2016) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-016-0451-2 · Cited by 26
Sun, H., Vachha, B. A., Laino, M. E., Jenabi, M., Flynn, J. R., Zhang, Z., Holodny, A. I., & Peck, K. K. (2020) · Radiology · doi:10.1148/radiol.2019190089 · Cited by 26
Zhao, W., Zhu, D., Zhang, Y., Zhang, C., Zhang, B., Yang, Y., Zhu, J., & Yu, Y. (2021) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-970 · Cited by 26
Nordin, K., Gorbach, T., Pedersen, R., Lundmark, V. P., Johansson, J. J., Andersson, M., McNulty, C., Riklund, K., Wåhlin, A., Papenberg, G., et al. (2022) · Journal of Neuroscience Research · doi:10.1002/jnr.25039 · Cited by 28
Brown, C. A., Hakun, J. G., Zhu, Z., Johnson, N. F., & Gold, B. T. (2015) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2015.00194 · Cited by 26
“…show good correspondence with tracts identified in previous DMN structural connectivity studies conducted in separate groups of younger adults (Greicius et al., 2009; van den Heuvel et al., 2009; van Oort et al., 2014) and older adults (Teipel et al., 2010; Hahn et al., 2013; Weiler et al., 2014).”
BackgroundResultYu, X. J., He, H. J., Zhang, Q. W., Zhao, F., Zee, C. S., Zhang, S. Z., & Gong, X. Y. (2014) · Brain Research · doi:10.1016/j.brainres.2013.12.025 · Cited by 26
“Recent studies suggest that the functionally linked resting-state networks reflect the underlying architecture of the structural connectivity (Quigley et al., 2003; van den Heuvel et al., 2009).”
Jin, S., Jeong, W., Seol, J., Kwon, J., & Chung, C. K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068192 · Cited by 28
Broad intrinsic functional connectivity boundaries of the macaque prefrontal cortex
Hutchison, R. M., & Everling, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.024 · Cited by 26
“…that the FC patterns in resting-state BOLD-fMRI are dictated (though not entirely constrained) by the underlying structural connectivity (Greicius et al., 2009; Honey et al., 2009; Shen et al., 2012; van den Heuvel et al., 2009; Vincent et al., 2007; for review see Damoiseaux and Greicius, 2009).”
BackgroundEffective Connectivity for Default Mode Network Analysis of Alcoholism
Khan, D. M., Kamel, N., Mustapha, M., & Hill, T. (2020) · Brain Connectivity · doi:10.1089/brain.2019.0721 · Cited by 24
“The recent studies show that the RSN regions are structurally connected through the white matter tracks (Van Den Heuvel et al., 2009).”
A structural enriched functional network: An application to predict brain cognitive performance
Kim, M., Bao, J., Liu, K., Park, B., Park, H., Baik, J. Y., & Shen, L. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102026 · Cited by 26
Neuropsychological variability, symptoms, and brain imaging in chronic schizophrenia
Nestor, P. G., Kubicki, M. R., Nakamura, M., Niznikiewicz, M. A., Levitt, J. J., Shenton, M. E., & McCarley, R. W. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9193-0 · Cited by 25
From “rest” to language task: Task activation selects and prunes from broader resting‐state network
Doucet, G. E., He, X., Sperling, M. R., Sharan, A. D., & Tracy, J. I. (2017) · Human Brain Mapping · doi:10.1002/hbm.23539 · Cited by 25
“…such as the default mode network, the motor network, or working memory networks) have been shown to be robustly related to structural connectivity (Greicius et al., 2009; van den Heuvel et al., 2009), the functional–structural relation is less clear for the language network (Morgan et al., 2009).”
BackgroundXuan, H., Chen, G., Li, W., Huang, Z., Wang, L., Jia, Q., Chen, Z., & Cheng, H. (2017) · Oncotarget · doi:10.18632/oncotarget.22358 · Cited by 27
“Although accumulating evidence suggests a strong relationship between structural and functional connectivity [35, 36], there is a lack of one-to-one correspondence [37].”
BackgroundSchluter, R. S., Jansen, J. M., van Holst, R. J., van den Brink, W., & Goudriaan, A. E. (2017) · Brain Connectivity · doi:10.1089/brain.2017.0542 · Cited by 28
“Regions showing synchronized activity during rest are thought to be functionally linked (Deco et al., 2011) and reflect the resting-state networks of the brain (Raichle et al., 2001; van den Heuvel et al., 2009).”
Cingulate-centered large-scale networks: Normal functions, aging, and neurodegenerative disease
Touroutoglou, A., & Dickerson, B. C. (2019) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64196-0.00008-x · Cited by 23
The broad edge of synchronization: Griffiths effects and collective phenomena in brain networks
Buendía, V., Villegas, P., Burioni, R., & Muñoz, M. A. (2022) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2020.0424 · Cited by 24
Zhao, C., & Gong, G. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.05.023 · Cited by 26
The Temporal Pattern of a Lesion Modulates the Functional Network Topology of Remote Brain Regions
Baene, W. D., Rutten, G.-J. M., & Sitskoorn, M. M. (2017) · Neural Plasticity · doi:10.1155/2017/3530723 · Cited by 24
“[93], for instance, showed a strong positive association between the global efficiency of functional networks and intellectual performance in healthy people.”
BackgroundNetwork Neuroscience: A Framework for Developing Biomarkers in Psychiatry
Lydon‐Staley, D. M., & Bassett, D. S. (2018) · Current topics in behavioral neurosciences · doi:10.1007/7854_2018_41 · Cited by 24
“The DMN (for review see Buckner et al. 2008) is characterized by deactivation during task and activation during both rest and self-referential tasks (Mazoyer et al. 2001; Shulman et al. 1997) and encompasses many regions, including posterior cingulate cortex, precuneus, medial prefrontal cortex, orbital frontal gyrus,…”
BackgroundMaiella, M., Mencarelli, L., Casula, E. P., Borghi, I., Assogna, M., Lorenzo, F. D., Bonnı̀, S., Pezzopane, V., Martorana, A., & Koch, G. (2024) · Clinical Neurophysiology · doi:10.1016/j.clinph.2024.09.007 · Cited by 26
Ten challenges for decision neuroscience
Huettel, S. A. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00171 · Cited by 24
Magioncalda, P., Martino, M., Ely, B. A., Inglese, M., & Stern, E. R. (2016) · Brain and Behavior · doi:10.1002/brb3.442 · Cited by 23
“In particular, the superior longitudinal fasciculus connects regions of the frontoparietal “control” network, while the genu of the corpus callosum has been shown to connect regions of the “default mode network” (DMN) (van den Heuvel et al. 2009).”
BackgroundAberrant functional brain connectome in people with antisocial personality disorder
Tang, Y., Long, J., Wang, W., Liao, J., Xie, H., Zhao, G., & Zhang, H. (2016) · Scientific Reports · doi:10.1038/srep26209 · Cited by 24
“…of the accuracy of the result of the affine linear registration on the cerebellum 52 , a subset of 90 non-cerebellar regions-of-interest (ROIs) as the nodes in brain networks (45 for each hemisphere, according to AAL atlas 53 ) were used to investigate abnormal functions in ASPD individuals.”
Barrett, F. S., Workman, C. I., Sair, H. I., Savonenko, A. V., Kraut, M. A., Sodums, D. J., Joo, J. J., Nassery, N., Marano, C. M., Munro, C. A., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23595 · Cited by 24
“Resting-state functional connectivity networks reflect structural connectivity patterns [Damoiseaux et al., 2009; Greicius et al., 2009; van den Heuvel et al., 2009] and are thought to reflect the intrinsic organization of brain activity [Buckner et al., 2008; Fox and Raichle, 2007] and…”
BackgroundNota, N. M., Burke, S., den Heijer, M., Soleman, R. S., Lambalk, C. B., Cohen‐Kettenis, P. T., Veltman, D. J., & Kreukels, B. P. C. (2017) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2017.09.001 · Cited by 23
A Cortical Folding Pattern-Guided Model of Intrinsic Functional Brain Networks in Emotion Processing
Jiang, X., Zhao, L., Liu, H., Guo, L., Kendrick, K. M., & Liu, T. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00575 · Cited by 23
“…as the previous finding that distinct regions within one intrinsic network are interconnected by DTI-derived fiber bundles (Greicius et al., 2009; Van den Heuvel et al., 2009), in this paper, we propose a novel cortical folding pattern-guided model of the intrinsic network (Figure 1C) in emotion…”
BackgroundMultimodal Imaging Brain Connectivity Analysis (MIBCA) toolbox
Ribeiro, A., Lacerda, L. M., & Ferreira, H. A. (2015) · PeerJ · doi:10.7717/peerj.1078 · Cited by 23
“On the other hand, functional connectivity, Ribeiro et al. (2015), PeerJ, DOI 10.7717/peerj.1078 2/28 on the other hand, demonstrates how different areas of the brain with similar patterns of activation enable brain functions at rest and in response to external stimuli (Van den Heuvel et al., 2009).”
BackgroundInfluentialAn fMRI Study of the Interactions Between the Attention and the Gustatory Networks
Veldhuizen, M. G., Gitelman, D. R., & Small, D. M. (2012) · Chemosensory Perception · doi:10.1007/s12078-012-9122-z · Cited by 22
Wang, Y., Liu, X., Hu, Y., Yu, Z., Wu, T., Wang, J., Liu, J., & Liu, J. (2022) · BMC Medical Imaging · doi:10.1186/s12880-022-00769-7 · Cited by 23
Tissink, E., Werme, J., de Lange, S. C., Savage, J. E., Wei, Y., de Leeuw, C., Nagel, M., Posthuma, D., & van den Heuvel, M. P. (2023) · eNeuro · doi:10.1523/eneuro.0242-22.2023 · Cited by 31
Lord, A., Li, M., Demenescu, L. R., van der Meer, J. N., Borchardt, V., Krause, A. L., Heinze, H., Breakspear, M. J., & Walter, M. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00184 · Cited by 23
“Typically highly influential regions are both structurally (van den Heuvel and Sporns, 2011) and functionally (van den Heuvel et al., 2009) interconnected, forming the so called rich club (Colizza et al., 2006).”
BackgroundUnderstanding individual variability in symptoms and recovery following mTBI: a role for TMS-EEG
Coyle, H. L., Ponsford, J., & Hoy, K. E. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.05.027 · Cited by 21
ATPP: A Pipeline for Automatic Tractography-Based Brain Parcellation
Li, H., Fan, L., Zhuo, J., Wang, J., Zhang, Y., Yang, Z., & Jiang, T. (2017) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2017.00035 · Cited by 22
“Several studies indicate that resting-state connectivity (Honey et al., 2009; Van Den Heuvel et al., 2009) and meta-analytic co-activations (Eickhoff et al., 2010) reflect the underlying anatomical connectivity architecture of the human brain to some degree.”
BackgroundDissecting whole-brain conduction delays through MRI microstructural measures
Mancini, M., Tian, Q., Fan, Q., Cercignani, M., & Huang, S. Y. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02358-w · Cited by 20
He, Z., Du, L., Huang, Y., Jiang, X., Lv, J., Guo, L., Zhang, S., & Zhang, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab420 · Cited by 19
Orzyłowska, A., & Oakden, W. (2021) · Brain Sciences · doi:10.3390/brainsci12010053 · Cited by 20
“Functional connectivity of the brain, assessed using resting-state fMRI, can reveal intrinsic connectivity networks [57], and demonstrates changes in connectivity in AD [58,59].”
BackgroundWhole-brain dynamical modelling for classification of Parkinson’s disease
Jung, K., Florin, E., Patil, K. R., Caspers, J., Rubbert, C., Eickhoff, S. B., & Popovych, O. V. (2022) · Brain Communications · doi:10.1093/braincomms/fcac331 · Cited by 21
“2,3 12 Connectivity relationships are also commonly used when brain dynamics are modelled by mathematical whole-brain dynamical models.”
Same, Same but Different? A Multi-Method Review of the Processes Underlying Executive Control
Toba, M. N., Malkinson, T. S., Howells, H., Mackie, M., & Spagna, A. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09577-4 · Cited by 26
“…include the DLPFC and the cingulate cortex, the nodes having a central role in coordinating functional interactions between segregated networks (see for instance van den Heuvel et al., 2009 and Kinoshita et al, 2015, for interactions between the lateral and medial fronto-parietal network networks).”
Attentional performance is correlated with the local regional efficiency of intrinsic brain networks
Xu, J., Yin, X., Ge, H., Han, Y., Pang, Z., Tang, Y., Liu, B., & Liu, S. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00200 · Cited by 22
“Information is processed and integrated in the brain network with coherent temporal dynamics, and the process is never-ending, even at rest (Sporns et al., 2004; Honey et al., 2009; Van Den Heuvel et al., 2009b).”
BackgroundMethodInfluentialZhu, Y., Peng, X., Wu, Y., Wu, E. X., Ying, L. L., Liu, X., Zheng, H., & Liang, D. (2016) · Medical Physics · doi:10.1002/mp.12054 · Cited by 21
Kaushal, M., Oni-Orisan, A., Chen, G., Li, W., Leschke, J., Ward, D. B., Kalinosky, B. T., Budde, M. D., Schmit, B. D., Li, S., et al. (2017) · Brain Connectivity · doi:10.1089/brain.2016.0468 · Cited by 21
Jung, J., Visser, M., Binney, R. J., & Ralph, M. A. L. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1734-x · Cited by 21
Bertoglio, D., Jonckers, E., Ali, I. Y., Verhoye, M., der Linden, A. V., & Dedeurwaerdere, S. (2019) · Neurobiology of Disease · doi:10.1016/j.nbd.2019.02.012 · Cited by 21
Structural disconnection is responsible for increased functional connectivity in multiple sclerosis
Patel, K. R., Tobyne, S. M., Porter, D. B., Bireley, J. D., Smith, V., & Klawiter, E. C. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1619-z · Cited by 21
Babiloni, C., Lopez, S., Noce, G., Ferri, R., Panerai, S., Catania, V., Soricelli, A., Salvatore, M., Nobili, F. M., Arnaldi, D., et al. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad300 · Cited by 20
Luo, Y., Chen, Q., Li, F., Liang, Y., Xu, P., & Zhang, Y. (2025) · Neural Networks · doi:10.1016/j.neunet.2025.107450 · Cited by 22
An Adaptive Temporal-Causal Network Model for Decision Making Under Acute Stress
Jan Treur, A., & Ziabari, S. S. M. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-98446-9_2 · Cited by 20
“…energy supplies and consumption is at issue, due to the fact that the brain ’ s vitality utilization (20% of the body ’ s total utilization) is asymmetrical to its size (about 2% of body mass [10]), and the brain has to compete with other body parts to achieving energy and operate for survival [5].”
BackgroundGuo, Z., Fan, C., Li, T., Gesang, L., Yin, W., Wang, N., Weng, X., Gong, Q., Zhang, J., & Wang, J. (2020) · Human Brain Mapping · doi:10.1002/hbm.24954 · Cited by 21
Altered effective connectivity among core brain networks in patients with bipolar disorder
Zhang, Z., Bo, Q., Li, F., Zhao, L., Wang, Y., Liu, R., Chen, X., Wang, C., & Zhou, Y. (2022) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2022.06.031 · Cited by 21
Connectivity dynamics and cognitive variability during aging
Jauny, G., Eustache, F., & Hinault, T. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2022.07.001 · Cited by 21
Application of Partial Directed Coherence to the Analysis of Resting-State EEG-fMRI Data
Biazoli, C. E., Sturzbecher, M. J., White, T. P., Onias, H., Andrade, K. C., de Araújo, D. B., & Sato, J. R. (2013) · Brain Connectivity · doi:10.1089/brain.2012.0135 · Cited by 19
Structural connectivity of the salience-executive loop in schizophrenia
Iwabuchi, S. J., Liddle, P. F., & Palaniyappan, L. K. (2014) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-014-0547-z · Cited by 20
“Previous studies have established a structural basis for within-network functional connectivity within these large-scale systems [6].”
BackgroundBrain modifications after acute alcohol consumption analyzed by resting state fMRI
Spagnolli, F., Cerini, R., Cardobi, N., Barillari, M., Manganotti, P., Storti, S. F., & Mucelli, R. P. (2013) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2013.04.007 · Cited by 23
“RSNs are reliable and reproducible [12]; they underlie a cortico-cortical structural connectivity visualized with tractography by means of diffusion tensor imaging (DTI) [13–15] and are correlated with electro-encephalographic (EEG) [16,17] rhythms.”
BackgroundZhang, T., Xu, P., Guo, L., Chen, R., Zhang, R., He, H., Xie, Q., Liu, T., Luo, C., & Yao, D. (2015) · Applied Informatics · doi:10.1186/s40535-014-0005-z · Cited by 20
Thomas, F., Moulier, V., Valero‐Cabré, A., & Januel, D. (2016) · Revue Neurologique · doi:10.1016/j.neurol.2016.09.001 · Cited by 21
Probing Intrinsic Resting-State Networks in the Infant Rat Brain
Bajic, D., Craig, M. M., Borsook, D., & Becerra, L. R. (2016) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2016.00192 · Cited by 21
Dang, S., Chaudhury, S., Lall, B., & Roy, P. K. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2017.2738035 · Cited by 19
“cortical area is closely related to the pattern of its anatomical connections [27], [28].”
BackgroundHuman cerebral evolution and the clinical syndrome of amyotrophic lateral sclerosis
Henderson, R. D., Garton, F. C., Kiernan, M. C., Turner, M. R., & Eisen, A. (2018) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2017-317245 · Cited by 20
The pathoconnectivity network analysis of the insular cortex: A morphometric fingerprinting
Nani, A., Manuello, J., Mancuso, L., Liloia, D., Costa, T., Vercelli, A., Duca, S., & Cauda, F. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117481 · Cited by 19
Physical exercise keeps the brain connected by increasing white matter integrity in healthy controls
Bashir, S., Alsultan, F., Abujamea, A. H., Almousa, A., Alnafisah, M., Alzahrani, M., Abualait, T., & Yoo, W. (2021) · Medicine · doi:10.1097/md.0000000000027015 · Cited by 19
Structural connectivity of the frontal lobe in children with drug-resistant partial epilepsy
Holt, R. L., Provenzale, J. M., Veerapandiyan, A., Moon, W., Bellis, M. D. D., Leonard, S., Gallentine, W. B., Grant, G. A., EGGER, H. L., Song, A. W., et al. (2011) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2011.03.016 · Cited by 18
“It, thus, interconnects key regions of the default mode network, a network which allows individuals to respond to salient stimuli and to emotionally process and monitor their mental state [9-12].”
BackgroundBrain Connections – Resting State fMRI Functional Connectivity
de la Iglesia-Vayá, M., Molina‐Mateo, J., Jose, M., Ahmad, S., & Martí‐Bonmatí, L. (2013) · InTech eBooks · doi:10.5772/52273 · Cited by 19
Default Mode Network Changes in Moyamoya Disease Before and After Bypass Surgery: Preliminary Report
Sakamoto, Y., Okamoto, S., Maesawa, S., Bagarinao, E., Araki, Y., Izumi, T., Watanabe, H., Sobue, G., & Wakabayashi, T. (2018) · World Neurosurgery · doi:10.1016/j.wneu.2018.01.117 · Cited by 18
Quantification of Structural Brain Connectivity via a Conductance Model
Frau‐Pascual, A., Fogarty, M., Fischl, B. R., Yendiki, A., Aganj, I., & Initiativey, †. T. A. D. N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.033 · Cited by 18
Zhu, W., Huang, H., Yang, S., Luo, X., Zhu, W., Xu, S., Meng, Q., Zuo, C., Zhao, K., Liu, H., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190174 · Cited by 18
van den Heuvel, M. P., & Pol, H. E. H. (2011) · Psiquiatría Biológica · doi:10.1016/j.psiq.2011.05.001 · Cited by 25
MRI network progression in mesial temporal lobe epilepsy related to healthy brain architecture
Morgan, V. L., Johnson, G. W., Cai, L. Y., Landman, B. A., Schilling, K. G., Englot, D. J., Rogers, B. P., & Chang, C. E. (2021) · Network Neuroscience · doi:10.1162/netn_a_00184 · Cited by 18
“For example, some relate functional relationships across the brain in terms of structural connectivity (van den Heuvel et al., 2009), commu-Structural connectivity: Brain region interaction measured by integrity of diffusion of water across white matter using MRI. nication measures (Goñi et al.,…”
BackgroundPark, H., Kim, M., Kwak, Y. B., Cho, K. I. K., Lee, J., Moon, S., Lho, S. K., & Kwon, J. S. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01588-6 · Cited by 20
Baseline activity predicts working memory load of preceding task condition
Pyka, M., Hahn, T., Heider, D., Krug, A., Sommer, J. B., Kircher, T. T. J., & Jansen, A. (2012) · Human Brain Mapping · doi:10.1002/hbm.22121 · Cited by 18
“Long-term rest (15 min) before and after a language task revealed on the group level only slight changes, possibly due to heterogeneous differences on the subject-level [Waites et al., 2005].”
BackgroundMethodInvestigating intrinsic connectivity networks using simultaneous BOLD and CBF measurements
Mayhew, S. D., Mullinger, K. J., Bagshaw, A. P., Bowtell, R. W., & Francis, S. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.042 · Cited by 17
“Additionally, functional connectivity is localised to grey matter (De Luca et al., 2006) and often reflects the brain's structural connectivity (Greicius et al., 2009; van den Heuvel et al., 2009).”
Koval, M. J., Hutchison, R. M., Lomber, S. G., & Everling, S. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00626.2013 · Cited by 21
Nestor, L. J., Suckling, J., Ersche, K. D., Murphy, A., McGonigle, J., Orbán, C., Paterson, L. M., Reed, L. J., Taylor, E., Flechais, R., et al. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102297 · Cited by 18
Avelar‐Pereira, B., Bäckman, L., Wåhlin, A., Nyberg, L. H., & Salami, A. (2020) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2020.08.008 · Cited by 22
“…that FC re fl ects underlying structural connections (Damoiseaux and Greicius, 2009; Honey et al., 2009a; Skudlarski et al., 2008; Uddin, 2013; Van Den Heuvel et al., 2009), with various degrees of structural-functional correspondence across the brain (Vázquez-Rodríguez et al., 2019; Baum et…”
Olivito, G., Lupo, M., Gragnani, A., Saettoni, M., Siciliano, L., Pancheri, C., Panfili, M., Cercignani, M., Bozzali, M., Chiaie, R. D., et al. (2021) · The Cerebellum · doi:10.1007/s12311-021-01317-9 · Cited by 18
Altered structural connectivity and trait anhedonia in patients with schizophrenia
Lee, J. S., Han, K., Lee, S., Seok, J., & Kim, J. (2014) · Neuroscience Letters · doi:10.1016/j.neulet.2014.07.001 · Cited by 20
Developmental Resting State Functional Connectivity for Clinicians
Hulvershorn, L. A., Cullen, K. R., Francis, M., & Schreiner, M. W. (2014) · Current Behavioral Neuroscience Reports · doi:10.1007/s40473-014-0020-3 · Cited by 18
Lehmann, N., Tolentino‐Castro, J. W., Kaminski, E., Ragert, P., Villringer, A., & Taubert, M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24704 · Cited by 16
“Because FA has shown to be associated with functional brain connectivity (van den Heuvel, Mandl, Kahn, & Hulshoff Pol, 2009), one could speculate that the functional meaning of high prefrontal FA values is to support the well-known shifts of functional brain activation occurring during the earliest stage of motor lear…”
BackgroundSolving the “human problem”: The frontal feedback model
Noack, R. A. (2012) · Consciousness and Cognition · doi:10.1016/j.concog.2012.01.011 · Cited by 18
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 ›
Are you an author, or do you see a problem with this page? Request a review
