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Spatio-temporal Identification of Hemodynamics in fMRI: A Data-Driven Approach

  • Lirong Yan
  • Dewen Hu
  • Zongtan Zhou
  • Yadong Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3150)

Abstract

This paper presents a new data-driven method to identify the spatial and temporal characteristics of the cerebral hemodynamics in functional magnetic resonance imaging (fMRI). The experiments are in block design paradigm and the scans in task blocks are investigated in a sequential manner. Spatial evolvement of the activated regions along with the time-course are demonstrated. The time series of each region is predicated as the convolution of the stimuli with the hemodynamic response function (HRF) formulated as the sum of two gamma functions. The predicted time series is fitted to the actual one by using a nonlinear least-squares procedure to estimate the HRF parameters. Analyses on empirical fMRI datasets exhibit obviously the spatial and temporal dispersion of hemodynamics.

Keywords

Functional Magnetic Resonance Imaging Imaging Spectroscopy Spatial Dispersion Task Block Bold fMRI 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Aguirre, G., Zarahn, E., D’Esposito, M.: The variability of human, BOLD hemodynamic responses. NeuroImage 8, 360–369 (1998)CrossRefGoogle Scholar
  2. 2.
    Boynton, G.M., Engel, S.A., Glover, G.H., Heeger, D.J.: Linear systems analysis of functional magnetic resonance imaging in human V1. J. Neurosci. 16, 4207–4221 (1996)Google Scholar
  3. 3.
    Buckner, R.L., Bandettini, P.A., O’Craven, K.M., Savoy, R.L., Petersen, S.E., Raichle, M.E., Rosen, B.R.: Detection of cortical activation during averaged single trials of a cognitive task using functional magnetic resonance imaging. Proc. Natl. Acad. Sci. USA 93, 14878–14883 (1996)CrossRefGoogle Scholar
  4. 4.
    Buxton, R., Frank, L.: A model for the coupling between cerebral blood flow and oxygen metabolism during neural stimulation. J. Cereb. Blood Flow Metab. 17, 64–72 (1997)CrossRefGoogle Scholar
  5. 5.
    Buxton, R.B.: The elusive initial dip. NeuroImage 13, 953–958 (2001)CrossRefGoogle Scholar
  6. 6.
    Cohen, J.D., Perlstein, W.M., Braver, T.S., Nystrom, L.E., Noll, D.C., Jonides, J., Smith, E.E.: Temporal dynamics of brain activation during a working memory task [see comments]. Nature 386, 604–608 (1997)CrossRefGoogle Scholar
  7. 7.
    Dale, A.M., Buckner, R.L.: Selective averaging of rapidly presented individual trials using fMRI. Hum. Brain Mapp. 5, 329–340 (1997)CrossRefGoogle Scholar
  8. 8.
    Friston, K.J., Jezzard, P., Turner, R.: Analysis of functional MRI time-series. Hum. Brain Mapp. 1, 153–171 (1994)CrossRefGoogle Scholar
  9. 9.
    Friston, K.J., Josephs, O., Rees, G., Turner, R.: Nonlinear event-related responses in fMRI. Magn. Reson. Med. 39, 41–52 (1998)CrossRefGoogle Scholar
  10. 10.
    Glover, G.H.: Deconvolution of impulse response in event-related BOLD fMRI. NeuroImage 9, 416–429 (1999)CrossRefGoogle Scholar
  11. 11.
    Thompson, J.K., Peterson, M.R., Freeman, R.D.: Single-Neuron Activity and Tissue Oxygenation in the Cerebral Cortex. Science 299, 1070–1072 (2003)CrossRefGoogle Scholar
  12. 12.
    Kim, S.G.: Progress in understanding functional imaging signals. Proc. Natl. Acad. Sci. USA 100, 3550–3552 (2003)CrossRefGoogle Scholar
  13. 13.
    Malonek, D., Grinvald, A.: Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy: Implications for functional brain mapping. Science 272, 551–554 (1996)CrossRefGoogle Scholar
  14. 14.
    Martindale, J., Mayhew, J., Berwick, J., Jones, M., Martin, C., Johnston, D., Redgrave, P., Zheng, Y.: The hemodynamic impulse response to a single neural event. J. Cereb. Blood Flow Metab. 23, 546–555 (2003)CrossRefGoogle Scholar
  15. 15.
    Mayhew, J., Hu, D., Zheng, Y., Askew, S., Hou, Y., Berwick, J., Coffey, P., Brown, N.: An evaluation of linear model analysis techniques for processing images of microcirculation activity. NeuroImage 7, 49–71 (1998)CrossRefGoogle Scholar
  16. 16.
    Mayhew, J.: A measured look at neuronal oxygen consumption. Science 299, 1023–1024 (2003)CrossRefGoogle Scholar
  17. 17.
    Miezin, F.M., Maccotta, L., Ollinger, J.M., Petersen, S.E., Buckner, R.L.: Characterizing the hemodynamic response: effects of presentation rate, sampling procedure, and the possibility of ordering brain activity based on relative timing. NeuroImage 17, 735–759 (2000)CrossRefGoogle Scholar
  18. 18.
    Rosen, B.R., Buckner, R.L., Dale, A.M.: Event-related functional MRI: Past, present, and future. Proc. Natl. Acad. Sci. USA 95, 773–780 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Lirong Yan
    • 1
  • Dewen Hu
    • 1
    • 2
  • Zongtan Zhou
    • 1
  • Yadong Liu
    • 1
  1. 1.Department of Automatic ControlNational University of Defense TechnologyChangshaP.R.China
  2. 2.Key Lab of Mental HealthChinese Academy of SciencesBeijingP.R.China

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