대규모 데이터 기반의 뇌 신경망 (Brain Network) 연구 동향

  • 김창업 (서울대학교 의과대학 신경면역 정보저장 네트워크 연구센터) ;
  • 김상정 (서울대학교 의과대학 신경면역 정보저장 네트워크 연구센터)
  • 발행 : 2015.02.25

초록

키워드

참고문헌

  1. http://www.braininitiative.nih.gov/2025/index.htm.
  2. Greicius, M.D., et al., Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb Cortex, 2009. 19(1): p. 72-8. https://doi.org/10.1093/cercor/bhn059
  3. Roebroeck, A., E. Formisano, and R. Goebel, Mapping directed influence over the brain using Granger causality and fMRI. Neuroimage, 2005. 25(1): p. 230-42. https://doi.org/10.1016/j.neuroimage.2004.11.017
  4. Smith, S.M., The future of FMRI connectivity. Neuroimage, 2012. 62(2): p. 1257-66. https://doi.org/10.1016/j.neuroimage.2012.01.022
  5. Hutchison, R.M., et al., Dynamic functional connectivity: promise, issues, and interpretations. Neuroimage, 2013. 80: p. 360-78. https://doi.org/10.1016/j.neuroimage.2013.05.079
  6. Zalesky, A., et al., Time-resolved resting-state brain networks. Proc Natl Acad Sci U S A, 2014. 111(28): p. 10341-6. https://doi.org/10.1073/pnas.1400181111
  7. Stevenson, I.H., et al., Inferring functional connections between neurons. Curr Opin Neurobiol, 2008. 18(6): p. 582-8. https://doi.org/10.1016/j.conb.2008.11.005
  8. Cunningham, J.P. and B.M. Yu, Dimensionality reduction for large-scale neural recordings. Nat Neurosci, 2014. 17(11): p. 1500-9. https://doi.org/10.1038/nn.3776
  9. Stevenson, I.H. and K.P. Kording, How advances in neural recording affect data analysis. Nat Neurosci, 2011. 14(2): p. 139-42. https://doi.org/10.1038/nn.2731