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Cited by 2,970Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

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 access
Biswal, Bharat B., Mennes, Maarten, Zuo, Xi-Nian, Gohel, Suril, Kelly, Clare, Smith, Steve M., Beckmann, Christian F., Adelstein, Jonathan S., Buckner, Randy L., Colcombe, Stan, Dogonowski, Anne-Marie, Ernst, Monique, Fair, Damien, Hampson, Michelle, Hoptman, Matthew J., Hyde, James S., Kiviniemi, Vesa J., Kötter, Rolf, Li, Shi-Jiang, 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, Veijola, Juha, Villringer, Arno, Walter, Martin, Wang, Lihong, Weng, Xu-Chu, Whitfield-Gabrieli, Susan, Williamson, Peter, Windischberger, Christian, Zang, Yu-Feng, Zhang, Hong-Ying, Castellanos, F. Xavier, Milham, Michael P.·2010·Proceedings of the National Academy of Sciences
DOI 10.1073/pnas.0911855107PMC PMC2842060
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Abstract

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/.

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Crossref · 10.1073/pnas.0911855107

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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
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
DOI
10.1073/pnas.0911855107
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
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

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