The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Toward discovery science of human brain function
Open accessAbstract
Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. The core challenge remains the development of common paradigms for interrogating the myriad functional systems in the brain without the constraints of a priori hypotheses. Resting-state functional MRI (R-fMRI) constitutes a candidate approach capable of addressing this challenge. Imaging the brain during rest reveals large-amplitude spontaneous low-frequency (<0.1 Hz) fluctuations in the fMRI signal that are temporally correlated across functionally related areas. Referred to as functional connectivity, these correlations yield detailed maps of complex neural systems, collectively constituting an individual's "functional connectome." Reproducibility across datasets and individuals suggests the functional connectome has a common architecture, yet each individual's functional connectome exhibits unique features, with stable, meaningful interindividual differences in connectivity patterns and strengths. Comprehensive mapping of the functional connectome, and its subsequent exploitation to discern genetic influences and brain-behavior relationships, will require multicenter collaborative datasets. Here we initiate this endeavor by gathering R-fMRI data from 1,414 volunteers collected independently at 35 international centers. We demonstrate a universal architecture of positive and negative functional connections, as well as consistent loci of inter-individual variability. Age and sex emerged as significant determinants. These results demonstrate that independent R-fMRI datasets can be aggregated and shared. High-throughput R-fMRI can provide quantitative phenotypes for molecular genetic studies and biomarkers of developmental and pathological processes in the brain. To initiate discovery science of brain function, the 1000 Functional Connectomes Project dataset is freely accessible at www.nitrc.org/projects/fcon_1000/.
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
“Over the last decade many studies have found that spontaneous BOLD fluctuations are not random noise, but specifically organized in the resting human brain (Biswal et al., 2010).”
From Oxytocin effects on complex brain networks are moderated by experiences of maternal love withdrawal (2013) · cites this paper as Biswal et al., 2010
In the citing paper
“The Thousand Functional Connectomes (and related) projects [74, 75], led by Mike Milham, are seeking to generate even larger numbers of subjects than the HCP, bringing together data from a wide range of imaging studies and scanners, and covering a wider range of subject groups, including a range of pathologies.”
From Functional connectomics from resting-state fMRI (2013) · cites this paper as [74]
In the citing paper
“While general brain organization measured with RSFC is similar across thousands of different individuals [12] and stable and robust over the short-term (hourly) and long-term (monthly) [86], there are small individual differences in connectivity, which can be reliably observed across time.”
From Predicting Brain Functional Connectivity Using Mobile Sensing (2020) · cites this paper as [12]
Citations
Cites
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
Self-citationThe 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
Finding the missing heritability of complex diseases
Manolio, T. A., Collins, F. S., Cox, N. J., Goldstein, D. B., Hindorff, L. A., Hunter, D. J., McCarthy, M. I., Ramos, E. M., Cardon, L. R., Chakravarti, A., et al. (2009) · Nature · doi:10.1038/nature08494 · Cited by 8,336
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
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
Self-citationConsistent 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
Self-citationMapping 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
Investigations 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
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
The Human Connectome: A Structural Description of the Human Brain
Sporns, O., Tononi, G., & Kötter, R. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010042 · Cited by 3,260
Self-citationBuckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862
Self-citationAltered baseline brain activity in children with ADHD revealed by resting-state functional MRI
Yu-Feng, Z., Yong, H., Chao-Zhe, Z., Qing-Jiu, C., Man-Qiu, S., Meng, L., Li-Xia, T., Tian-Zi, J., & Yu-Feng, W. (2007) · Brain and Development · doi:10.1016/j.braindev.2006.07.002 · Cited by 2,660
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
Zou, Q., Zhu, C.-Z., Yang, Y., Zuo, X., Long, X., Cao, Q., Wang, Y., & Zang, Y. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.04.012 · Cited by 2,169
Self-citationVan Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00783.2009 · Cited by 1,844
Self-citationIntrinsic functional architecture in the anaesthetized monkey brain
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. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
Distinct patterns of brain activity in young carriers of the APOE -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613
Self-citationDisruption 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
Self-citationFunctional brain networks develop from a local to distributed organization
Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530
Self-citationThe oscillating brain: Complex and reliable
Zuo, X., Martino, A. D., Kelly, C. A. M., Shehzad, Z. E., Gee, D. G., Klein, D. F., Castellanos, F. X., Biswal, B. B., & Milham, M. P. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.037 · Cited by 1,466
Self-citationFrequencies 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
Sexual dimorphism of brain developmental trajectories during childhood and adolescence
Lenroot, R. K., Gogtay, N., Greenstein, D. K., Wells, E. M., Wallace, G. L., Clasen, L. S., Blumenthal, J. D., Lerch, J., Zijdenbos, A. P., Evans, A. C., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.03.053 · Cited by 1,309
Normal Sexual Dimorphism of the Adult Human Brain Assessed by In Vivo Magnetic Resonance Imaging
Goldstein, J. M. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.6.490 · Cited by 1,052
Precuneus shares intrinsic functional architecture in humans and monkeys
Margulies, D. S., Vincent, J. L., Kelly, C., Lohmann, G., Uddin, L. Q., Biswal, B. B., Villringer, A., Castellanos, F. X., Milham, M. P., & Petrides, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905314106 · Cited by 965 · cited 1×
“Recent R-fMRI studies have identified putative biomarkers of neuropsychiatric illness (12, 15–18), provided insight into the development of functional networks in the maturing and aging brain (19–22), demonstrated a shared intrinsic functional architecture (23) between humans and nonhuman primates (24, 25), and deline…”
BackgroundSelf-citationThe Resting Brain: Unconstrained yet Reliable
Shehzad, Z. E., Kelly, C. A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., Lee, S. H., Margulies, D. S., Roy, A. K., Biswal, B. B., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn256 · Cited by 948
Self-citationThe evolution of sex-biased genes and sex-biased gene expression
Ellegren, H., & Parsch, J. (2007) · Nature Reviews Genetics · doi:10.1038/nrg2167 · Cited by 925
Castellanos, F. X., Margulies, D. S., Kelly, C., Uddin, L. Q., Ghaffari, M., Kirsch, A., Shaw, D., Shehzad, Z., Di Martino, A., Biswal, B., et al. (2008) · Biological Psychiatry · doi:10.1016/j.biopsych.2007.06.025 · Cited by 854
Self-citationDevelopment of large-scale functional brain networks in children
Supekar, K., Musen, M., & Menon, V. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000157 · Cited by 807
Mapping the functional connectivity of anterior cingulate cortex
Margulies, D. S., Kelly, C. A. M., Uddin, L. Q., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.019 · Cited by 777
Self-citationFunctional connectivity of the human amygdala using resting state fMRI
Roy, A. K., Shehzad, Z., Margulies, D. S., Kelly, A. M. C., Uddin, L. Q., Gotimer, K., Biswal, B. B., Castellanos, F. X., & Milham, M. P. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.030 · Cited by 749
Self-citationZuo, X.-N., Kelly, C., Adelstein, J. S., Klein, D. F., Castellanos, F. X., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.080 · Cited by 744
Self-citationUncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans
Yong He, A., Wang, J., Wang, L. Y., Chen, Z. J., Yan, C., Yang, H., Tang, H., Zhu, C., Gong, Q., Zang, Y., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005226 · Cited by 635
Self-citationDefining functional areas in individual human brains using resting functional connectivity MRI
Cohen, A. L., Fair, D. A., Dosenbach, N. U. F., Miezin, F. M., Dierker, D., Van Essen, D. C., Schlaggar, B. L., & Petersen, S. E. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.066 · Cited by 582
Self-citationDevelopment of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood
Kelly, A. M. C., Di Martino, A., Uddin, L. Q., Shehzad, Z., Gee, D. G., Reiss, P. T., Margulies, D. S., Castellanos, F. X., & Milham, M. P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn117 · Cited by 572
Self-citationPersistent default‐mode network connectivity during light sedation
Greicius, M. D., Kiviniemi, V. J., Tervonen, O. A., Vainionpää, V., Alahuhta, S., Reiss, A. L., & Menon, V. (2008) · Human Brain Mapping · doi:10.1002/hbm.20537 · Cited by 514
Self-citationThe Resting Human Brain and Motor Learning
Albert, N. B., Robertson, E. M., & Miall, R. C. (2009) · Current Biology · doi:10.1016/j.cub.2009.04.028 · Cited by 510 · cited 1×
“For instance, functional connectivity is modulated by cognitive (47) and emotional state (48), arousal, and sleep (26), whereas structural connectivity is grossly unaffected by such factors.”
BackgroundEvidence from intrinsic activity that asymmetry of the human brain is controlled by multiple factors
Liu, H., Stufflebeam, S. M., Sepulcre, J., Hedden, T., & Buckner, R. L. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908073106 · Cited by 413
Self-citationFukunaga, M., Horovitz, S. G., van Gelderen, P., de Zwart, J. A., Jansma, J. M., Ikonomidou, V. N., Chu, R., Deckers, R. H. R., Leopold, D. A., & Duyn, J. H. (2006) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2006.04.018 · Cited by 375
Does the brain have a baseline? Why we should be resisting a rest
Morcom, A. M., & Fletcher, P. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.013 · Cited by 369
Sex Differences in Regional Cerebral Glucose Metabolism During a Resting State
Gur, R. C., Mozley, L. H., Mozley, P. D., Resnick, S. M., Karp, J. S., Alavi, A. A., Arnold, S. E., & Gur, R. E. (1995) · Science · doi:10.1126/science.7824953 · Cited by 340
Kelly, C., de Zubicaray, G., Di Martino, A., Copland, D. A., Reiss, P. T., Klein, D. F., Castellanos, F. X., Milham, M. P., & McMahon, K. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.0810-09.2009 · Cited by 292
Self-citationChurch, J. A., Fair, D. A., Dosenbach, N. U. F., Cohen, A. L., Miezin, F. M., Petersen, S. E., & Schlaggar, B. L. (2009) · Brain · doi:10.1093/brain/awn223 · Cited by 278
Self-citationHippocampal structural changes across the menstrual cycle
Protopopescu, X., Butler, T., Pan, H., Root, J. C., Altemus, M. M., Polanecsky, M., McEwen, B. S., Silbersweig, D., & Stern, E. R. (2008) · Hippocampus · doi:10.1002/hipo.20468 · Cited by 255
Modulation of Brain Resting-State Networks by Sad Mood Induction
Harrison, B. J., Pujol, J., Ortiz, H., Fornito, A., Pantelis, C., & Yücel, M. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001794 · Cited by 206
Calhoun, V. D., Pekar, J. J., & Pearlson, G. D. (2004) · Neuropsychopharmacology · doi:10.1038/sj.npp.1300543 · Cited by 192
Self-citationModel‐free group analysis shows altered BOLD FMRI networks in dementia
Rombouts, S. A. R. B., Damoiseaux, J. S., Goekoop, R., Barkhof, F., Scheltens, P., Smith, S. M., & Beckmann, C. F. (2007) · Human Brain Mapping · doi:10.1002/hbm.20505 · Cited by 145
Self-citationPoldrack, R. A., & Devlin, J. T. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.06.019 · Cited by 133
Kelly, A., de Zubicaray, G. I., Martino, A. D., Copland, D. A., Reiss, P., Klein, D., Castellanos, F. X., Milham, M., & McMahon, K. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)70601-9 · Cited by 100
Self-citationPermanence of brain sex differences and structural plasticity of the adult brain
McEwen, B. S. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.13.7128 · Cited by 71
Genetic regulation of adult stature
Lettre, G. (2009) · Current Opinion in Pediatrics · doi:10.1097/mop.0b013e32832c6dce · Cited by 70
Zeng, S. M., Yankowitz, J., Widness, J. A., et al. (2001) · PubMed · Cited by 56
Consortium hopes to sequence genome of 1000 volunteers
Wise, J. (2008) · BMJ · doi:10.1136/bmj.39472.676481.db · Cited by 15
Cited by
Sorted by citations
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
Self-citationThe organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Self-citationConn : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks
Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0073 · Cited by 4,885
Self-citationBrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics
Xia, M., Wang, J., & He, Y. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068910 · Cited by 4,106
Cluster failure: why fMRI inferences for spatial extent have inflated false-positive rates
Eklund, A., Nichols, T. E., & Knutsson, H. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1602413113 · Cited by 3,487
Metadata
- Authors
- Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., Dogonowski, A.-M., Ernst, M., Fair, D., Hampson, M., Hoptman, M. J., Hyde, J. S., Kiviniemi, V. J., Kötter, R., Li, S.-J., Lin, C.-P., Lowe, M. J., Mackay, C., Madden, D. J., Madsen, K. H., Margulies, D. S., Mayberg, H. S., McMahon, K., Monk, C. S., Mostofsky, S. H., Nagel, B. J., Pekar, J. J., Peltier, S. J., Petersen, S. E., Riedl, V., Rombouts, S. A. R. B., Rypma, B., Schlaggar, B. L., Schmidt, S., Seidler, R. D., Siegle, G. J., Sorg, C., Teng, G.-J., Veijola, J., Villringer, A., Walter, M., Wang, L., Weng, X.-C., Whitfield-Gabrieli, S., Williamson, P., Windischberger, C., Zang, Y.-F., Zhang, H.-Y., Castellanos, F. X., & Milham, M. P.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- NYU Langone Health (US)
- FMRIB Centre, Oxford University, Oxford OX3 9DU, UK;
- University of Oxford (GB)
- Howard Hughes Medical Institute (US)
- Bangor University (GB)
- Hvidovre Hospital (DK)
- Mood and Anxiety Disorders Program, National Institute of Mental Health/National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892;
- Oregon Health & Science University (US)
- Yale University (US)
- Nathan Kline Institute for Psychiatric Research (US)
- Medical College of Wisconsin (US)
- Oulu University Hospital (FI)
- Radboud University Nijmegen (NL)
- National Yang Ming University (TW)
- Cleveland Clinic (US)
- Duke Medical Center (US)
- Max Planck Institute for Human Cognitive and Brain Sciences (DE)
- Emory University (US)
- The University of Queensland (AU)
- University of Michigan (US)
- Kennedy Krieger Institute (US)
- Washington University in St. Louis (US)
- TUM Klinikum (DE)
- Leiden University (NL)
- The University of Texas at Dallas (US)
- Charité – Universitätsmedizin Berlin (DE)
- University of Pittsburgh (US)
- Zhongda Hospital Southeast University (CN)
- University of Oulu (FI)
- Otto-von-Guericke-Universität Magdeburg (DE)
- Chinese Academy of Sciences (CN)
- Department of Brain and Cognitive Sciences, Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, MA 02139;
- Western University (CA)
- Medical University of Vienna (AT)
- Beijing Normal University (CN)
- ORCID
- Biswal, Bharat B.
- Mennes, Maarten
- Zuo, Xi-Nian
- Gohel, Suril
- Kelly, Clare
- Beckmann, Christian F.
- Buckner, Randy L.
- Colcombe, Stan
- Fair, Damien
- Hampson, Michelle
- Hoptman, Matthew J.
- Hyde, James S.
- Kiviniemi, Vesa J.
- Lin, Ching-Po
- Lowe, Mark J.
- Mackay, Clare
- Madden, David J.
- Madsen, Kristoffer H.
- Margulies, Daniel S.
- Mayberg, Helen S.
- McMahon, Katie
- Monk, Christopher S.
- Mostofsky, Stewart H.
- Nagel, Bonnie J.
- Pekar, James J.
- Peltier, Scott J.
- Petersen, Steven E.
- Riedl, Valentin
- Rombouts, Serge A. R. B.
- Rypma, Bart
- Schlaggar, Bradley L.
- Schmidt, Sein
- Seidler, Rachael D.
- Siegle, Greg J.
- Sorg, Christian
- Teng, Gao-Jun
- Villringer, Arno
- Walter, Martin
- Wang, Lihong
- Windischberger, Christian
- Zang, Yu-Feng
- Castellanos, F. Xavier
- Milham, Michael P.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2010-03-09
- Volume
- 107
- Issue
- 10
- Pages
- 4734-4739
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2842060
- OpenAlex
- W2008607322
- Cited by
- 2,970
- References
- 52
- Citations by year
- 2026: 72 · 2025: 117 · 2024: 115 · 2023: 127 · 2022: 163 · 2021: 205 · 2020: 255 · 2019: 187 · 2018: 182 · 2017: 219 · 2016: 205 · 2015: 246 · 2014: 239 · 2013: 236 · 2012: 200
- FWCI
- 123.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Institutional Repository of Institute of Psychology, Chinese Academy of Sciences (Institute of Psychology, Chinese Academy of Sciences) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health (UL1TR000448)
- National Institute of Mental Health (K02MH082998, R01MH083246, R01MH064783, R01MH081218)
- National Institute on Drug Abuse (R01DA016979, R03DA024775)
- National Institute of Neurological Disorders and Stroke (R01NS049176)
- National Institute of Biomedical Imaging and Bioengineering (N02-EB-6-4281)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- resting-state fMRI, functional connectivity, functional connectome, interindividual variability, brain-behavior relationship, brain development
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Algorithms, Analysis of Variance, Brain, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways, Sex Factors, 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
