Graph Theoretic Analysis of Resting State Functional MR Imaging
作者： John D. Medaglia
DOI: 10.1016/J.NIC.2017.06.008
关键词:
摘要: Graph theoretic analyses applied to examine the brain at rest have played a critical role in clarifying foundations of brain's intrinsic and task-related activity. There are many opportunities for clinical scientists describe predict dysfunction using network perspective. This primer describes basis practical application graph analysis resting state functional MR imaging data. Major practices, concepts, findings concisely reviewed. The frontiers highlighted with observations about major avenues conceptual advances translation.
sci-hub.se 参考文章(105)
M. E. J. Newman, Assortative mixing in networks. Physical Review Letters. ,vol. 89, pp. 208701- 208701 ,(2002) , 10.1103/PHYSREVLETT.89.208701
Rémi Patriat, Erin K. Molloy, Timothy B. Meier, Gregory R. Kirk, Veena A. Nair, Mary E. Meyerand, Vivek Prabhakaran, Rasmus M. Birn, The effect of resting condition on resting-state fMRI reliability and consistency: a comparison between resting with eyes open, closed, and fixated. NeuroImage. ,vol. 78, pp. 463- 473 ,(2013) , 10.1016/J.NEUROIMAGE.2013.04.013
Petter Holme, Core-periphery organization of complex networks. Physical Review E. ,vol. 72, pp. 046111- ,(2005) , 10.1103/PHYSREVE.72.046111
M. D. Fox, R. L. Buckner, H. Liu, M. M. Chakravarty, A. M. Lozano, A. Pascual-Leone, Resting-state networks link invasive and noninvasive brain stimulation across diverse psychiatric and neurological diseases. Proceedings of the National Academy of Sciences of the United States of America. ,vol. 111, pp. 201405003- ,(2014) , 10.1073/PNAS.1405003111
Gael Varoquaux, Bertrand Thirion, How machine learning is shaping cognitive neuroimaging GigaScience. ,vol. 3, pp. 28- 28 ,(2014) , 10.1186/2047-217X-3-28
Yongxia Zhou, Fang Yu, Timothy Duong, Multiparametric MRI Characterization and Prediction in Autism Spectrum Disorder Using Graph Theory and Machine Learning PLoS ONE. ,vol. 9, pp. e90405- ,(2014) , 10.1371/JOURNAL.PONE.0090405
J. Sepulcre, M. R. Sabuncu, T. B. Yeo, H. Liu, K. A. Johnson, Stepwise connectivity of the modal cortex reveals the multimodal organization of the human brain. The Journal of Neuroscience. ,vol. 32, pp. 10649- 10661 ,(2012) , 10.1523/JNEUROSCI.0759-12.2012
M. P. van den Heuvel, O. Sporns, An Anatomical Substrate for Integration among Functional Networks in Human Cortex The Journal of Neuroscience. ,vol. 33, pp. 14489- 14500 ,(2013) , 10.1523/JNEUROSCI.2128-13.2013
K.J. Friston, A.P. Holmes, J-B. Poline, P.J. Grasby, S.C.R. Williams, R.S.J. Frackowiak, R. Turner, Analysis of fMRI Time-Series Revisited NeuroImage. ,vol. 2, pp. 45- 53 ,(1995) , 10.1006/NIMG.1995.1007
Vito Latora, Massimo Marchiori, Efficient Behavior of Small-World Networks Physical Review Letters. ,vol. 87, pp. 198701- ,(2001) , 10.1103/PHYSREVLETT.87.198701