Skip to main content
SpringerLink
Log in

Functional connectivity change of the rat brain in response to sensory stimuli using functional near-infrared brain imaging

  • Original Article
  • Published:
Biomedical Engineering Letters Aims and scope Submit manuscript

Abstract

Purpose

Because the brain can divide into many separate regions structurally and these regions don’t exist independently in terms of their function, there are some tendencies between these regions.

Methods

This functional connectivity has been analyzed using functional magnetic resonance imaging (fMRI), but in recent, diffuse optical tomography (DOT) has started to analyze these connectivity. In our experiment, we measured the coactivation in brain regions in response to sensory stimulation using CW-DOT.

Results

Concentration changes in oxyhemoglobin and deoxyhemoglobin was calculated using reconstructed absorption coefficients at each nodes in finiteelement mesh. Then these time-series node data were mapped on our rat brain MR image. In addition, we analyzed coactivation by calculating correlation coefficients between time-series node data and standard response pattern of two parameters.

Conclusions

We ascertained that some brain regions were coactivated under sensory stimulation.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Ogawa S, Lee T, Kay A, Tank D. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Natl Acad Sci U S A. 1990; 87(24):9868–72.

    Article  Google Scholar 

  2. Biswal B, Yetkin FZ, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med. 1995; 34(4):537–41.

    Article  Google Scholar 

  3. Huettel SA, Güzeldere G, McCarthy G. Dissociating the neural mechanisms of visual attention in change detection using functional MRI. J Cogn Neurosci. 2001; 13(7):1006–18.

    Article  Google Scholar 

  4. Molavi B, May L, Gervain J, Carreiras M, Werker JF, Dumont GA. Analyzing the resting state functional connectivity in the human language system using near infrared spectroscopy. Front Hum Neurosci. 2013; doi: 10.3389/fnhum.2013.00921.

    Google Scholar 

  5. White BR, Snyder AZ, Cohen AL, Petersen SE, Raichle ME, Schlaggar BL, Culver JP. Resting-state functional connectivity in the human brain revealed with diffuse optical tomography. Neuroimage. 2009; 47(1):148–56.

    Article  Google Scholar 

  6. Lee S, Lee HJ, Im C, Shin HC, Koh D, Kim BM. Simultaneous measurement of hemodynamic and neuronal activities using near-infrared spectroscopy and single-unit recording. J Kor Phys Soc. 2011; 58:1697–702.

    Article  Google Scholar 

  7. Kober S, Wood G, Kurzmann J, Friedrich E, Stangl M, Wippel T, Väljamäe A, Neuper C. Near-infrared spectroscopy based neurofeedback training increases specific motor imagery related cortical activation compared to sham feedback. Biol Psychol. 2014; 95:21–30.

    Article  Google Scholar 

  8. Dehghani H, Eames ME, Yalavarthy PK, Davis SC, Srinivasan S, Carpenter CM, Pogue BW, Paulsen KD. Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction. Commun Numer Methods Eng. 2009; 25(6):711–32.

    Article  MATH  MathSciNet  Google Scholar 

  9. White BR. Developing high-density diffuse optical tomography for neuroimaging. Ph.D. Thesis; Wasington University; U S A; 20–2.

  10. Arridge SR. Optical tomography in medical imaging. Inverse Problems. 1999; 15(2): doi:10.1088/0266-5611/15/2/022

    Google Scholar 

  11. Li A, Zhang Q, Culver JP, Miller EL, Boas DA. Reconstructing chromosphere concentration images directly by continuouswave diffuse optical tomography. Opt Lett. 2004; 29(3):256–8.

    Article  Google Scholar 

  12. Paxinos G, Watson C. The rat brain in stereotaxic coordinates. London, U K: Academic Press; 20–6.

  13. Malonek D, Grinvald A. Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy: implications for functional brain mapping. Science. 1996; 272(5261):551–4.

    Article  Google Scholar 

  14. Patterson MS, Andersson-Engels S, Wilson BC, Osei EK. Absorption spectroscopy in tissue-simulating materials: a theoretical and experimental study of photon paths. Appl Opt. 1995; 34(1):22–30.

    Article  Google Scholar 

  15. Huettel SA, Song AW, McCarthy G. Functional magnetic resonance imaging. Sunderland MA: Sinauer Associates: 20–4.

Download references

Author information

Authors and Affiliations

  1. School of Biomedical Engineering, Korea University, Seoul, Korea

    Sung-Woo Kim, Beop-Min Kim & Joon-Kyung Seong

  2. Department of Bio-convergence Engineering, Korea University, Seoul, Korea

    Seung-Ho Paik

  3. Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, Korea

    Kang-Il Song & Inchan Youn

  4. Institute of Convergence Medicine, Ewha Womans University Medical Center, Seoul, Korea

    Se Jung Yang

Authors
  1. Sung-Woo Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Seung-Ho Paik
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kang-Il Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Se Jung Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Inchan Youn
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Beop-Min Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Joon-Kyung Seong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Beop-Min Kim or Joon-Kyung Seong.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, SW., Paik, SH., Song, KI. et al. Functional connectivity change of the rat brain in response to sensory stimuli using functional near-infrared brain imaging. Biomed. Eng. Lett. 4, 370–377 (2014). https://doi.org/10.1007/s13534-014-0166-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13534-014-0166-7

Keywords

Search

Navigation