Anna Pidnebesna is working on an analysis and modelling of real-world complex systems. Her main work is connected with developing and applying data analysis methods, frequently using connectivity matrices and sparse linear approaches. The human brain investigation is the main application part.

Contact:

ICS CAS (office 222A)
Pod Vodarenskou vezi 271/2,
11800, Prague, Czech Republic

e-mail: pidnebesna[at]cs.cas.cz
phone: (+420) 266 05 2062

Publications:

  • Pidnebesna, A., Hartman, D., Pokorná, A., Straka, M., & Hlinka, J. (2023). Computing approximate symmetries of complex networks. ArXiv. (link)
  • Pidnebesna, A., Fajnerová, I., Horáček, J., & Hlinka, J. (2023). Mixture Components Inference for Sparse Regression: Introduction and Application for Estimation of Neuronal Signal from fMRI BOLD. Applied Mathematical Modelling, 116, 735-748. (link)
  • Landová, E., Rádlová, S., Pidnebesna, A., Tomeček, D., Janovcová, M., Peléšková, Š., Sedláčková, K., Stolhoferová, I., Polák, J., Hlinka, J. & Frynta, D. (2023). Toward a reliable detection of arachnophobia: subjective, behavioral, and neurophysiological measures of fear response. Frontiers in Psychiatry, 14, 1196785. (link)
  • Pidnebesna, A., Sanda, P., Kalina, A., Hammer, J., Marusic, P., Vlcek, K., & Hlinka, J. (2022). Tackling the challenges of group network inference from intracranial EEG data. Frontiers in Neuroscience, 16, 1061867. (link)
  • Caputi, L., Pidnebesna, A., & Hlinka, J. (2021). Promises and pitfalls of topological data analysis for brain connectivity analysis. NeuroImage, 238, 118245. (link)
  • Kopal, J., Pidnebesna, A., Tomeček, D., Tintěra, J., and Hlinka, J. (2020). Typicality of Functional Connectivity robustly captures motion artifacts in rs-fMRI across datasets, atlases and preprocessing pipelines. Human Brain Mapping, 41:5325–5340. (link)
  • Pidnebesna, A., Tomeček, D., and Hlinka, J. (2018). BRAD: Software for brain activity detection from hemodynamic response. Computer Methods and Programs in Biomedicine, 156:113 – 119, (link)
  • Pidnebesna, A., Helisová, K., and Staněk, J. (2018). Statistical analysis of dependencies among submissions to municipalities in the Czech Republic. Information Bulletin of the Czech statistical society, 29(3):1–19.
  • Pidnebesna, A., Helisová, K., Dvořák, J., Lechnerová, R., and Lechner, T. (2016). Statistical analysis and modelling of submissions to municipalities in the Czech Republic. Information Bulletin of the Czech statistical society, 27(4):1–18.

Dissertation:

Pidnebesna, A. (2020). Statistical analysis of the spatiotemporal processes (link)