Toward discovery science of human brain function

Bharat B. Biswal, Maarten Mennes, Xi Nian Zuo, Suril Gohel, Clare Kelly, Steve M. Smith, Christian F. Beckmann, Jonathan S. Adelstein, Randy L. Buckner, Stan Colcombe, Anne Marie Dogonowski, Monique Ernst, Damien Fair, Michelle Hampson, Matthew J. Hoptman, James S. Hyde, Vesa J. Kiviniemi, Rolf Kötter, Shi Jiang Li, Ching Po Lin & 34 others Mark J. Lowe, Clare Mackay, David J. Madden, Kristoffer H. Madsen, Daniel S. Margulies, Helen S. Mayberg, Katie McMahon, Christopher S. Monk, Stewart H. Mostofsky, Bonnie J. Nagel, James J. Pekar, Scott J. Peltier, Steven E. Petersen, Valentin Riedl, Serge A R B Rombouts, Bart Rypma, Bradley L. Schlaggar, Sein Schmidt, Rachael D. Seidler, Greg J. Siegle, Christian Sorg, Gao Jun Teng, Juha Veijola, Arno Villringer, Martin Walter, Lihong Wang, Xu Chu Weng, Susan Whitfield-Gabrieli, Peter Williamson, Christian Windischberger, Yu Feng Zang, Hong Ying Zhang, F. Xavier Castellanos, Michael P. Milham

Research output: Contribution to journalArticle

1598 Citations (Scopus)

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/.

Original languageEnglish (US)
Pages (from-to)4734-4739
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume107
Issue number10
DOIs
StatePublished - Mar 9 2010

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Connectome
Magnetic Resonance Imaging
Brain
Functional Neuroimaging
Pathologic Processes
Neuroimaging
Molecular Biology
Volunteers
Biomarkers
Genome
Phenotype
Datasets

Keywords

  • Database
  • Neuroimaging
  • Open access
  • Reproducibility
  • Resting state

ASJC Scopus subject areas

  • General

Cite this

Biswal, B. B., Mennes, M., Zuo, X. N., Gohel, S., Kelly, C., Smith, S. M., ... Milham, M. P. (2010). Toward discovery science of human brain function. Proceedings of the National Academy of Sciences of the United States of America, 107(10), 4734-4739. https://doi.org/10.1073/pnas.0911855107

Toward discovery science of human brain function. / 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.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 107, No. 10, 09.03.2010, p. 4734-4739.

Research output: Contribution to journalArticle

Biswal, BB, Mennes, M, Zuo, XN, Gohel, S, Kelly, C, Smith, SM, Beckmann, CF, Adelstein, JS, Buckner, RL, Colcombe, S, Dogonowski, AM, Ernst, M, Fair, D, Hampson, M, Hoptman, MJ, Hyde, JS, Kiviniemi, VJ, Kötter, R, Li, SJ, Lin, CP, Lowe, MJ, Mackay, C, Madden, DJ, Madsen, KH, Margulies, DS, Mayberg, HS, McMahon, K, Monk, CS, Mostofsky, SH, Nagel, BJ, Pekar, JJ, Peltier, SJ, Petersen, SE, Riedl, V, Rombouts, SARB, Rypma, B, Schlaggar, BL, Schmidt, S, Seidler, RD, Siegle, GJ, Sorg, C, Teng, GJ, Veijola, J, Villringer, A, Walter, M, Wang, L, Weng, XC, Whitfield-Gabrieli, S, Williamson, P, Windischberger, C, Zang, YF, Zhang, HY, Castellanos, FX & Milham, MP 2010, 'Toward discovery science of human brain function', Proceedings of the National Academy of Sciences of the United States of America, vol. 107, no. 10, pp. 4734-4739. https://doi.org/10.1073/pnas.0911855107
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. / Toward discovery science of human brain function. In: Proceedings of the National Academy of Sciences of the United States of America. 2010 ; Vol. 107, No. 10. pp. 4734-4739.
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AU - Biswal, Bharat B.

AU - Mennes, Maarten

AU - Zuo, Xi Nian

AU - Gohel, Suril

AU - Kelly, Clare

AU - Smith, Steve M.

AU - Beckmann, Christian F.

AU - Adelstein, Jonathan S.

AU - Buckner, Randy L.

AU - Colcombe, Stan

AU - Dogonowski, Anne Marie

AU - Ernst, Monique

AU - Fair, Damien

AU - Hampson, Michelle

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AU - Hyde, James S.

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AU - Kötter, Rolf

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AU - Lin, Ching Po

AU - Lowe, Mark J.

AU - Mackay, Clare

AU - Madden, David J.

AU - Madsen, Kristoffer H.

AU - Margulies, Daniel S.

AU - Mayberg, Helen S.

AU - McMahon, Katie

AU - Monk, Christopher S.

AU - Mostofsky, Stewart H.

AU - Nagel, Bonnie J.

AU - Pekar, James J.

AU - Peltier, Scott J.

AU - Petersen, Steven E.

AU - Riedl, Valentin

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AU - Schlaggar, Bradley L.

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AU - Seidler, Rachael D.

AU - Siegle, Greg J.

AU - Sorg, Christian

AU - Teng, Gao Jun

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AU - Villringer, Arno

AU - Walter, Martin

AU - Wang, Lihong

AU - Weng, Xu Chu

AU - Whitfield-Gabrieli, Susan

AU - Williamson, Peter

AU - Windischberger, Christian

AU - Zang, Yu Feng

AU - Zhang, Hong Ying

AU - Castellanos, F. Xavier

AU - Milham, Michael P.

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