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Ph.D. student
Sochi State University
Mathematics and Computer Science
Computational analysis of large-scale brain connectivity
My research interests are concerned with analyzing the brain structural and functional networks, considering such their properties as laminar patterns, processing streams, region-specific fingerprints, dynamics, as well as their topology and other spatial characteristics. The general aim is to establish appropriate structure-function relationships by means of assembling the connectivity matrices, forming the transformation paths between incongruent parcellation schemes – i.e., combining the appropriate mapping and connectivity data for understanding the brain dynamics. Both mapping and connectivity issues imply their description by textual entities, along with the spatial representation of the components they describe. The models are to be analysed with regard to their meso- and microscale features (minicolumns and single neurons properties, respectively).
More specifically, the areas of interest include the analysis of hierarchical organization of macaque visual system, which is, despite being thoroughly investigated during preceding decades, still remains not satisfactorily unveiled. Another focus to be gained on, is analysing the structure and function of sensorimotor system, whose investigations met considerable amount of discrepancies - especially its analysis on the level of different scales: the results related to this issue still vary tremendously among different studies.
Understanding this organization will help to relate the functional data (e.g. obtained from fMRI studies) to its appropriate anatomical representation, and thus to describe its underlying phenomena.
