Skip to main content

The Concept of Functional Tractography Method for Cognitive Brain Studies

  • Conference paper
  • First Online:
Biologically Inspired Cognitive Architectures 2018 (BICA 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 848))

Included in the following conference series:

Abstract

The aim of this work is to develop method of functional tractography based on the fast MRI sequence (Multi-Band EPI). It is planned to identify active areas of white matter (active tracts) responsible for the realization of motor function and visual perception. The functional MRI method, universally recognized and quite popular in cognitive brain studies, clearly reveals sources of activity in the gray matter of the brain. Proposed method of functional tractography supposed to make it possible to determine the activity in the deep structures of white matter tracts, which gives a number of advantages in understanding the network interaction of human brain regions among themselves both in healthy people and in patients.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. 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 

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

    Article  Google Scholar 

  3. Tirosh, N., Nevo, U.: Neuronal activity significantly reduces water displacement: DWI of a vital rat spinal cord with no hemodynamic effect. Neuroimage 76, 98–107 (2013)

    Article  Google Scholar 

  4. Mandl, R., Schnack, H., Zwiers, M., Kahn, R., Pol, H.: Functional diffusion tensor imaging at 3 Tesla. Front. Hum. Neurosci. 1–9 (2013)

    Google Scholar 

  5. Kartashov, S., Ushakov, V., Maslennikova, A., Velichkovsky, B.: Human brain structural organization in healthy volunteers and patients with schizophrenia. In: Biologically Inspired Cognitive Architectures (BICA) for Young Scientists. Proceedings of the First International Early Research Career Enhancement School on BICA and Cybersecurity (FIERCES 2017). Advances in Intelligent Systems and Computing, vol. 636, pp. 85–90 (2017)

    Google Scholar 

  6. Ushakov, V.L., Samsonovich, A.V.: Toward a BICA-model-based study of cognition using brain imaging techniques. Procedia Comput. Sci. 71, 254–264 (2015)

    Article  Google Scholar 

  7. Arinchekhina, J.A., Orlov, V.A., Samsonovich, A.V., Ushakov, V.L.: Comparative study of semantic mapping of images. Procedia Comput. Sci. 123, 47–56 (2018)

    Article  Google Scholar 

Download references

Acknowledgements

This work was in part supported by the Russian Science Foundation, Grant № 18-11-00336 (data preprocessing algorithms) and by the Russian Foundation for Basic Research grants ofi-m 17-29-02518 (study of thinking levels) and 18-315-00304 (studying of structural connections by diffusion MRI).

The authors are grateful to the MEPhI Academic Excellence Project for providing computing resources and facilities to perform experimental data processing.

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

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kartashov, S., Ponomarenko, N., Ushakov, V. (2019). The Concept of Functional Tractography Method for Cognitive Brain Studies. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2018. BICA 2018. Advances in Intelligent Systems and Computing, vol 848. Springer, Cham. https://doi.org/10.1007/978-3-319-99316-4_21

Download citation

Publish with us

Policies and ethics