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.
References
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)
Rubinov, M., Sporns, O.: Complex network measures of brain connectivity: uses and interpretations. NeuroImage 53(3), 1059–1069 (2010)
Van den Heuvel, M.P., Sporns, O.: Rich-club organization of the human connectome. J. Neurosci. 31(44), 15775–15786 (2011)
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
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
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)
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)
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
Corresponding author
Editor information
Editors and Affiliations
Rights 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)