ISSN 0253-2778

CN 34-1054/N

open
Free to Publish. Free to Read.
Open AccessOpen Access JUSTC Original Paper

The relationship of structural and functional brain networks via hierarchical synchronization

  • Department of Electronic Science and Technology, University of Science and Technology of China, Hefei 230027, China

Cite this:
https://doi.org/10.3969/j.issn.0253-2778.2014.01.005
  • Received Date: 03 December 2012
  • Accepted Date: 19 March 2013
  • Rev Recd Date: 19 March 2013
  • Publish Date: 30 January 2014
    Abstract

  • Abstract

    Benefiting from the structural segmentation and functional conformity, the cerebra can reach an ‘economical work mode including both local clustering and global cooperation, which makes the relation of structural and functional network play an important role in the comprehension of cognitive brain activities. The collective dynamics of neural mass models coupled through structural brain network represents properties of brain activities. Based on functional brain networks derived from simulated time series, the relationship between structural and functional brain networks is investigated via comparing topologies of the two networks. The numeric results of structural networks in cats and monkeys show that the functional and structural networks display similar connecting patterns, which were also quantitively studied with the help of vertex similarity in structrual networks. Numeric results support the view point that the hierarchies in structural networks are the basis of functional brain activities and suggest that the functional conformity is realized via collective dynamics of neurons.

    Abstract

    Benefiting from the structural segmentation and functional conformity, the cerebra can reach an ‘economical work mode including both local clustering and global cooperation, which makes the relation of structural and functional network play an important role in the comprehension of cognitive brain activities. The collective dynamics of neural mass models coupled through structural brain network represents properties of brain activities. Based on functional brain networks derived from simulated time series, the relationship between structural and functional brain networks is investigated via comparing topologies of the two networks. The numeric results of structural networks in cats and monkeys show that the functional and structural networks display similar connecting patterns, which were also quantitively studied with the help of vertex similarity in structrual networks. Numeric results support the view point that the hierarchies in structural networks are the basis of functional brain activities and suggest that the functional conformity is realized via collective dynamics of neurons.
    • FullText(HTML)
  • loading
    • References(17)
  • [1]
    方小玲, 于洪洁. 复杂脑网络研究进展[J]. 力学进展, 2008, 37(4): 611-613.
    [2]
    汪小帆, 李翔, 陈关荣. 复杂网络理论及其应用[M]. 北京: 清华大学出版社, 2006.
    [3]
    Sporns O, Tononi G, Ktter R. The human connectome: A structural description of the human brain [J]. PLoS Computational Biology, 2005, 1(4): 245-251.
    [4]
    Young M P. The organization of neural systems in the primate cerebral cortex[J]. Proceedings: Biological Sciences, 1993, 252(1333): 13-18.
    [5]
    White J G, Shouthgate E, Thomson J N, et al. The structure of the nervous system of the nematode caenorhabditis elegans[J]. Phlilosophical Transactiona: Biological Sciences, 1986, 314(1165): 1-340.
    [6]
    Salvador R, Suckling J, Coleman M R, et al. Neurophysiological architecture of functional magnetic resonance images of human brain[J]. Cerebral Cortex, 2005, 15(9): 1 332-1 342.
    [7]
    Scannell J W, Young M P. The connectional organization of neural systems in the cat cerebral cortex[J]. Current Biology, 1993, 3(4): 191-200.
    [8]
    Srinivas KV, Jain R, Saurav S, et al. Small-world network topology of hippocampal neuronal network is lost in an invitro glutamate injury modlel of epilepsy[J]. European Journal of Neuroscience, 2007, 25(11): 3 276-3 286.
    [9]
    Achard S, Bullmore E. Efficiency and cost of economical brain functional networks [J]. PLoS Computational Biology, 2007, 3(2): 174-183.
    [10]
    Ponten S C, Daffertshofer A, Hillebrand A, et al. The relationship between structural and functional connectivity: Graph theoretical analysis of an EEG neural mass model [J]. NeuroImage, 2010, 52(3): 985-994.
    [11]
    Scannell J W, Burns G A P C, Hilgetag C C, et al. The Connectional organization of the cortico-thalamic system of the cat [J]. Cerebral Cortex, 1999, 9(3): 277-299.
    [12]
    Young M P. The architecture of visual cortex and inferential processes in vision[J]. Spatial Vision, 2000, 13(2, 3): 137-146.
    [13]
    Felleman D J, van Essen D C. Distributed Hierarchical Processing in the Primate Cerebral Cortex [J]. Cerebral Cortex, 1991, 1(1): 1-47.
    [14]
    Wendling F, Bellanger J J, Bartolomei F, et al. Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals [J]. Biological Cybernetics, 2000, 83(4): 367-378.
    [15]
    Zavaglia M, Cona F, Ursino M. A neural mass model to simulate different rhythms in a cortical region[J]. Computational Intelligence and Neuroscience, 2010, 2010(5): 456140(1-8).
    [16]
    Heller D. A survey of algorithms in numerical lineal algebra [J]. SLAM Review, 1989, 20(4): 740-777.
    [17]
    Leicht E A, Holme P, Newman M E J. Vertex similarity in networks[J]. Physical Review E, 2006, 73(2): 026120(1-10).
    • Supplements(0)
    • Related Articles
    • Track Citations
  • 加载中

Catalog

    |
    Get Citation
    PDF
    XML
    [1]
    方小玲, 于洪洁. 复杂脑网络研究进展[J]. 力学进展, 2008, 37(4): 611-613.
    [2]
    汪小帆, 李翔, 陈关荣. 复杂网络理论及其应用[M]. 北京: 清华大学出版社, 2006.
    [3]
    Sporns O, Tononi G, Ktter R. The human connectome: A structural description of the human brain [J]. PLoS Computational Biology, 2005, 1(4): 245-251.
    [4]
    Young M P. The organization of neural systems in the primate cerebral cortex[J]. Proceedings: Biological Sciences, 1993, 252(1333): 13-18.
    [5]
    White J G, Shouthgate E, Thomson J N, et al. The structure of the nervous system of the nematode caenorhabditis elegans[J]. Phlilosophical Transactiona: Biological Sciences, 1986, 314(1165): 1-340.
    [6]
    Salvador R, Suckling J, Coleman M R, et al. Neurophysiological architecture of functional magnetic resonance images of human brain[J]. Cerebral Cortex, 2005, 15(9): 1 332-1 342.
    [7]
    Scannell J W, Young M P. The connectional organization of neural systems in the cat cerebral cortex[J]. Current Biology, 1993, 3(4): 191-200.
    [8]
    Srinivas KV, Jain R, Saurav S, et al. Small-world network topology of hippocampal neuronal network is lost in an invitro glutamate injury modlel of epilepsy[J]. European Journal of Neuroscience, 2007, 25(11): 3 276-3 286.
    [9]
    Achard S, Bullmore E. Efficiency and cost of economical brain functional networks [J]. PLoS Computational Biology, 2007, 3(2): 174-183.
    [10]
    Ponten S C, Daffertshofer A, Hillebrand A, et al. The relationship between structural and functional connectivity: Graph theoretical analysis of an EEG neural mass model [J]. NeuroImage, 2010, 52(3): 985-994.
    [11]
    Scannell J W, Burns G A P C, Hilgetag C C, et al. The Connectional organization of the cortico-thalamic system of the cat [J]. Cerebral Cortex, 1999, 9(3): 277-299.
    [12]
    Young M P. The architecture of visual cortex and inferential processes in vision[J]. Spatial Vision, 2000, 13(2, 3): 137-146.
    [13]
    Felleman D J, van Essen D C. Distributed Hierarchical Processing in the Primate Cerebral Cortex [J]. Cerebral Cortex, 1991, 1(1): 1-47.
    [14]
    Wendling F, Bellanger J J, Bartolomei F, et al. Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals [J]. Biological Cybernetics, 2000, 83(4): 367-378.
    [15]
    Zavaglia M, Cona F, Ursino M. A neural mass model to simulate different rhythms in a cortical region[J]. Computational Intelligence and Neuroscience, 2010, 2010(5): 456140(1-8).
    [16]
    Heller D. A survey of algorithms in numerical lineal algebra [J]. SLAM Review, 1989, 20(4): 740-777.
    [17]
    Leicht E A, Holme P, Newman M E J. Vertex similarity in networks[J]. Physical Review E, 2006, 73(2): 026120(1-10).
    Recommended articles
    TrendMD
    Volume 44 Issue 1 page: 43-47
    Cover

    Article Metrics

    Article views (29) PDF downloads(68)
    Proportional views

    Copyright © Editorial Office of JUSTC, All Rights Reserved. 皖ICP备05002528号

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return