Skip to main content

Advertisement

Log in

Mapping the Human Brain: New Insights from fMRI Data Sharing

  • Published:
Neuroinformatics Aims and scope Submit manuscript

Abstract

The sharing of primary data in the field of neuroscience has received considerable scrutiny from scientific societies and from science journals. Many see this as value added for science publishing that can enhance and inform secondary examination of data and results. Still others worry that data sharing is an undue burden for researchers with little long term value to science. But examples of how data sharing can be done successfully do exist. The fMRI Data Center, established at Dartmouth College in 2000 and now based at the University of California Santa Barbara, has worked to facilitate the open sharing of neuroimaging data from peer-reviewed papers to foster progress in cognitive science. The fMRI study on the representation of objects in the human occipital and temporal cortex, published in 2000 in the Journal of Cognitive Neuroscience (JOCN), marked the first deposition in the new database. Despite initial concerns about fMRI data sharing, this data set was frequently downloaded. We describe the original results of distributed brain activation patterns elicited by faces and objects in the human visual system, and overview several secondary analyses by independent investigators. A philosopher tested Husserl’s temporal components of consciousness, whereas other brain imagers deployed new analytic tools, from Dynamic Causal Modeling, which estimates the neural interactions between cortical regions, to a novel method for constructing reproducibility maps. These re-analyses revealed new findings not reported in the original study, provided new perspectives on visual perception, generated new predictions, and resulted in new collaborations and publications in high profile journals.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. As of January 2007, the fMRI Data Center is based at the University of California Santa Barbara.

References

  • Aguirre, G. K., Zarahn, E., & D’Esposito, M. (1998). An area within human ventral cortex sensitive to “building” stimuli: Evidence and implications. Neuron, 21, 1–20.

    Article  Google Scholar 

  • Bloom, F. (2006). Prying open the black box. Science, 314, 17.

    Article  PubMed  CAS  Google Scholar 

  • Carlson, T. A., Schrater, P., & He, S. (2003). Patterns of activity in the categorical representations of objects. Journal of Cognitive Neuroscience, 15, 704–717.

    Article  PubMed  Google Scholar 

  • Chao, L. L., Haxby, J. V., & Martin, A. (1999). Attribute-based neural substrates in posterior temporal cortex for perceiving and knowing about objects. Nature Neuroscience, 2, 913–919.

    Article  PubMed  CAS  Google Scholar 

  • Dameron, O., Musen, M. A. (2007). Using semantic dependencies for consistency management of an ontology of brain-cortex anatomy. Artificial Intelligence in Medicine, 39(3), 217–225.

    Article  PubMed  Google Scholar 

  • Downing, P. E., Jiang, Y.H., Shuman, M., & Kanwisher, N. (2001). A cortical area selective for visual processing of the human body. Science, 293, 2470–2473.

    Article  PubMed  CAS  Google Scholar 

  • Edelman, S., Grill-Spector, K., Kushnir, T., & Malach, R. (1998). Toward direct visualization of the internal shape representation space by fMRI. Psychobiology, 26, 309–321.

    Google Scholar 

  • Epstein, R., & Kanwisher, N. (1998). A cortical representation of the local visual environment. Nature, 392, 598–601.

    Article  PubMed  CAS  Google Scholar 

  • Fairhall, S. L., & Ishai, A. (2007). Effective connectivity within the distributed cortical network for face perception. Cerebral Cortex (in press). DOI 10.1093/cercor/bhl148.

  • Friston, K. J., Harrison, L., & Penny, W. (2003). Dynamic causal modelling. Neuroimage, 19, 1273–1302.

    Article  PubMed  CAS  Google Scholar 

  • Gazzaniga, M. S., Van Horn, J. D., Bloom, F., Shepherd, G. M., Marcus, R., Edward, E. (2006). Continuing progress in neuroinformatics. Science, 311, 176.

    Article  PubMed  CAS  Google Scholar 

  • Haxby, J. V., Hoffman, E. A., & Gobbini, M. I. (2000). The distributed human neural system for face perception. Trends in Cognitive Sciences, 4, 223–233.

    Article  PubMed  Google Scholar 

  • Haxby, J. V., Gobbini, M. I. Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science, 293, 2425–2430.

    Article  PubMed  CAS  Google Scholar 

  • Haynes, J. D., & Rees, G. (2006).Decoding mental states from brain activity in humans. Nature Reviews. Neuroscience, 7, 523–534.

    Article  PubMed  CAS  Google Scholar 

  • Hazeltine, E., Poldrack, R., & Gabrieli, J. D. (2000). Neural activation during response competition. Journal of Cognitive Neuroscience, 12, 118–129.

    Article  PubMed  Google Scholar 

  • Ishai, A., Ungerleider, L. G., Martin, A., Schouten, J., & Haxby, J. V. (1999). Distributed representation of objects in the human ventral visual pathway. Proceedings of the National Academy of Sciences of the United States of America, 96, 9379–9384.

    Article  PubMed  CAS  Google Scholar 

  • Ishai, A., Ungerleider, L. G., Martin, A., & Haxby, J. V. (2000a). The representation of objects in the human occipital and temporal cortex. Journal of Cognitive Neuroscience, 12(supp 2), 35–51.

    Article  PubMed  Google Scholar 

  • Ishai, A., Ungerleider, L. G., & Haxby, J. V. (2000b). Distributed neural systems for the generation of visual images. Neuron, 28, 979–990.

    Article  PubMed  CAS  Google Scholar 

  • Ishai, A., Haxby, J. V., & Ungerleider, L. G. (2002). Visual imagery of famous faces: effects of memory and attention revealed by fMRI. Neuroimage, 17, 1729–1741.

    Article  PubMed  Google Scholar 

  • Ishai, A., Schmidt, C. F., & Boesiger, P. (2005). Face perception is mediated by a distributed cortical network. Brain Research Bulletin, 67, 87–93.

    Article  PubMed  Google Scholar 

  • Kanwisher, N., McDermott, J., & Chun, M. M. (1997). The fusiform face area: A module in human extrastriate cortex specialized for face perception. Journal of Neuroscience, 17, 4302–4311.

    PubMed  CAS  Google Scholar 

  • Kastner, S., Pinsk, M. A., De Weerd, P., Desimone, R., & Ungerleider, L. G. (1999). Increased activity in human visual cortex in the absence of visual stimulation. Neuron, 22, 751–761.

    Article  PubMed  CAS  Google Scholar 

  • Kennedy, D. N., & Haselgrove, C. (2006). The internet analysis tools registry: A public resource for image analysis. Neuroinformatics, 4, 263–270.

    Article  PubMed  Google Scholar 

  • Kotter, R., & Wanke, E. (2005). Mapping brains without coordinates. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 360, 751–766.

    Article  PubMed  Google Scholar 

  • Liou, M., Su, H-R., Lee, J-D., & Cheng, P. E. (2003). Bridging functional MR images and scientific inference: Reproducibility maps. Journal of Cognitive Neuroscience, 15, 935–945.

    Article  PubMed  Google Scholar 

  • Liou, M., Su, H. R., Lee, J. D., Aston, J. A., Tsai, A. C., & Cheng, P. E. (2006). A method for generating reproducible evidence in fMRI studies. Neuroimage, 29, 383–395.

    Article  PubMed  Google Scholar 

  • Lloyd, D. (2002). Functional fMRI and the study of human consciousness. Journal of Cognitive Neuroscience, 14, 818–831.

    Article  PubMed  Google Scholar 

  • Lloyd, D. (2003). Radiant cool. Cambridge, MA: MIT Press.

    Google Scholar 

  • Malach, R., Reppas, J. B., Benson, R. R., Kwong, K. K., Jiang, H., Kennedy, W. A. et al. (1995). Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex. Proceedings of the National Academy of Sciences of the United States of America, 92, 8135–8139.

    Article  PubMed  CAS  Google Scholar 

  • Mechelli, A., Friston, K. J., & Price, C. J. (2000). The effects of presentation rate during word and pseudoword reading: A comparison of PET and fMRI. Journal of Cognitive Neuroscience, 12, 145–156.

    Article  PubMed  Google Scholar 

  • Mechelli, A., Price, C. J., Noppeney, U., & Friston, K. J. (2003). A dynamic causal modelling study on category effects: Bottom–up or top–down mediation? Journal of Cognitive Neuroscience, 15, 925–934.

    Article  PubMed  Google Scholar 

  • Mechelli, A., Price, C. J., Friston, K. J., & Ishai, A. (2004). Where bottom–up meets top–down: Neuronal interactions during perception and imagery. Cerebral Cortex, 14, 1256–1265.

    Article  PubMed  Google Scholar 

  • Penny, W. D., Stephan, K. E., Mechelli, A., & Friston, K. J. (2004). Comparing dynamic causal models. Neuroimage, 22, 1157–1172.

    Article  PubMed  CAS  Google Scholar 

  • Polk, T. A., & Farah, M. J. (1998). The neural development and organization of letter recognition: Evidence from functional neuroimaging, computational modeling, and behavioral studies. PNAS USA, 95, 847–852.

    Article  PubMed  CAS  Google Scholar 

  • Postle, B. R., Berger, J. S., Taich, A. M., & D’Esposito, M. (2000). Activity in human frontal cortex associated with spatial working memory and saccadic behavior. Journal of Cognitive Neuroscience, 12, 2–14.

    Article  PubMed  Google Scholar 

  • Rees, G., Kreiman, G., & Koch, C. (2002). Neural correlates of consciousness in humans. Nature Reviews. Neuroscience, 3, 261–270.

    Article  PubMed  CAS  Google Scholar 

  • Shepherd, G. M. (2002). Supporting databases for neuroscience research. Journal of Neuroscience, 22, 1497.

    PubMed  CAS  Google Scholar 

  • Tanaka, K. (1996). Inferotemporal cortex and object vision. Annual Review of Neuroscience, 19, 109–139.

    Article  PubMed  CAS  Google Scholar 

  • Van Horn, J. D., Grethe, J. S., Kostelec, P., Woodward, J. B., Aslam, J. A., Rus, D., et al. (2001). The Functional Magnetic Resonance Imaging Data Center (fMRIDC): The challenges and rewards of large-scale databasing of neuroimaging studies. Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences, 356, 1323–1339.

    Article  PubMed  Google Scholar 

  • Van Horn, J. D. (2002). Maturing as a science: The New Perspectives in fMRI research award. Journal of Cognitive Neuroscience, 14, 817.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the Swiss National Science Foundation grant 3200B0-105278 and by the Swiss National Center for Competence in Research: Neural Plasticity and Repair grant to AI and by the National Institute of Mental Health grant P20 MH072580-03 to JDVH. The authors thank Ms. Amanda Hammond of the Laboratory of Neuro Imaging at UCLA for assistance with preparing Fig. 2.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alumit Ishai.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Van Horn, J.D., Ishai, A. Mapping the Human Brain: New Insights from fMRI Data Sharing. Neuroinform 5, 146–153 (2007). https://doi.org/10.1007/s12021-007-0011-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12021-007-0011-6

Keywords

Navigation