Skip to main content

Human Brain Structural Organization in Healthy Volunteers and Patients with Schizophrenia

  • Conference paper
  • First Online:
Biologically Inspired Cognitive Architectures (BICA) for Young Scientists (BICA 2017)

Abstract

The purpose of this work was to study and to compare the structural features of the human brain in two groups of people: healthy volunteers and patients with schizophrenia. According to the data of diffusion magnetic resonance imaging (dMRT), tractography pathways that describe the direction of fibers growth of the white matter of the human brain were reconstructed. Analysis of these paths made it possible to construct maps of the connectivity of all sections of the prepared brain to each other for each subject. With the help of graph theory, so-called rich-club areas were found for each of two groups, that, according to many papers, are the key centers of the brain in the transmission and exchange of information between all areas of the human brain.

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

Access this chapter

Institutional subscriptions

References

  1. Blondel, V.D., Guillaume, J., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exper. 2008(10), P10008 (2008)

    Article  Google Scholar 

  2. Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: uses and interpretations. NeuroImage 53(3), 1059–1069 (2010)

    Article  Google Scholar 

  3. Van den Heuvel, M.P., Sporns, O.: Rich-club organization of the human connectome. J. Neurosci. 31(44), 15775–15786 (2011)

    Article  Google Scholar 

  4. Zavyalova, V., Knyazeva, I., Ushakov, V., Poyda, A., Makarenko, N., Malakhov, D., Velichkovsky, B.: Dynamic clustering of connections between fMRI resting state networks: a comparison of two methods of data analysis. In: Samsonovich, A.V., Klimov, V.V., Rybina, G.V. (eds.) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. AISC, vol. 449, pp. 265–271. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-32554-5_34

    Chapter  Google Scholar 

  5. Sharaev, M., Ushakov, V., Velichkovsky, B.: Causal interactions within the default mode network as revealed by low-frequency brain fluctuations and information transfer entropy. In: Samsonovich, A., Klimov, V., Rybina, G. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. Advances in Intelligent Systems and Computing, vol. 449, pp. 213–218. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-32554-5_27

    Chapter  Google Scholar 

  6. Van den Heuvel, M.P., Sporns, O., Collin, G., Scheewe, T., Mandl, R.C., Cahn, W., Goñi, J., Hulshoff Pol, H.E., Kahn, R.S.: Abnormal richclub organization and functional brain dynamics in schizophrenia. JAMA Psychiatry 70(8), 783–792 (2013)

    Article  Google Scholar 

  7. Bohlken, M.M., Brouwer, R.M., Mandl, R.C., Van den Heuvel, M.P., Hedman, A.M., De Hert, M., Cahn, W., Kahn, R.S., Hulshoff Pol, H.E.: Structural Brain Connectivity as a Genetic Marker for Schizophrenia. JAMA Psychiatry 73(1), 11–19 (2016)

    Article  Google Scholar 

Download references

Acknowledgments

This work is supported by the Russian Science Foundation, grant RScF project № 15-11-30014 and by the MEPhI Academic Excellence Project (Contract No. 02.a03.21.0005).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sergey Kartashov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Kartashov, S. et al. (2018). Human Brain Structural Organization in Healthy Volunteers and Patients with Schizophrenia. In: Samsonovich, A., Klimov, V. (eds) Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. BICA 2017. Advances in Intelligent Systems and Computing, vol 636. Springer, Cham. https://doi.org/10.1007/978-3-319-63940-6_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63940-6_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63939-0

  • Online ISBN: 978-3-319-63940-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics