Jaroslav Hlinka

works at the Institute of Computer Science on the characterization of spatiotemporal patterns of spontaneous brain activity observed with neuroimaging methods such as fMRI, EEG or MEG. This includes assessment and development of data analysis methods.

During his PhD in Nottingham (UK), Jaroslav investigated spontanteous brain activity  with a range of methods spanning from analysis of multimodal neuroimaging resting-state human volunteer data (EEG-fMRI) to mathematical models of interacting neural populations. The PhD thesis is available on request. 

contact info

Department of Nonlinear Modeling
Institute of Computer Science
Czech Academy of Sciences
Pod Vodarenskou vezi 2
Praha 8, 182 07, Czech Republic

Tel: (+420) 26605 3808
E-mail: hlinka [at-remove-spam] cs.cas.cz

research interests

• neuroimaging data analysis

• modelling spontaneous brain activity

• computational neuroscience

• multivariate time series analysis

• theoretical informatics

projects

• FP7 BRAINSYNC

education

• 2006 – 2010 PhD studies in Neuroimaging and Mathematical Neuroscience at University of Nottingham, UK

• 2006 Graduated with honors for Ing. (MSc equivalent) in Mathematical Modelling, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University

• 2005 Graduated with honors for Mgr. (MSc equivalent) in Psychology, Faculty of Arts and Philosophy, Charles University

work

• 2006-2009 Marie Curie Research Fellow in the CMIAG group, University of Nottingham

• 2006 Lecturer in Statistics, Faculty of Education, Charles University

• 2002-2005 External data processing specialist in marketing research and psychological assessement, Qed & Quod, s.r.o.

• 2002-2003 Programmer & research assistant at the Institute of Physics, Academy of Sciences of the Czech Republic

research visits

• Centre de recherches matématiques, Université de Montréal – research visit to the group of Prof. J. Patera, February-March 2004

publications (journal articles only)

• Hlinka, J., Palus, M., Vejmelka, M., Mantini, D., Corbetta, M. Functional connectivity in resting-state fMRI: Is linear correlation sufficient? 2010, Neuroimage, In Press

• Hlinka, J., Alexakis, C., Diukova, A., Liddle, P.F., Auer, D.P. Slow EEG pattern predicts reduced intrinsic functional connectivity in the default mode network: an inter-subject analysis. 2010, Neuroimage, 53(1):239-246

• Hlinka, J., Alexakis, C., Hardman, J.G., Siddiqui, Q., Auer, D.P. Is sedation-induced BOLD fMRI low-frequency fluctuation increase mediated by increased motion? 2010, MAGMA, In Press.

• Hlinka, J., Coombes, S. Depolarization Induced Suppression of Excitation and the Emergence of Ultraslow Rhythms in Neural Networks. 2010, Physical Review Letters, 104, 068101

• Dineen, R. A., Vilisaar, J., Hlinka, J., Bradshaw, C. M., Morgan, P. S., Constantinescu, C. S., and Auer, D. P. 2009. Disconnection as a mechanism for cognitive dysfunction in multiple sclerosis. Brain 132 (1):239-249.

• Fekete, L., Hlinka, J. Y., Kadlec, F., Kužel, P., Mounaix, P. Active optical control of the terahertz reflectivity of high-resistivity semiconductors. 2005. Optics Letters, 30 (15): 1992-1994 (Highlighted in: Mat. Res. Soc. Bulletin, vol. 30, p. 668 2005, highlight article by V. Ranjan).