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Personality Neuroscience project (Czech Science Foundation project No. 13-23940S)

Project title:

Personality and spontaneous brain activity during rest and movie watching: relation and structural determinants


Project Consortium:

Institute of Computer Science AS CR of the AS CR, v.v.i. (Coordinator & PI: Jaroslav Hlinka)

Prague Psychiatric Center (PI: Jiří Horáček)

Institute of Psychology of the AS CR, v.v.i. (PI: Jiří Lukavský)

Institute for the Clinical and Experimental Medicine (PI: Jaroslav Tintěra)


Current psychological theory provides complex description of mental functions and personality.
It is generally accepted that mental functions have brain as their substrate, suggesting that personality differences should be reflected in brain
structure and function. However, the specific relation remains elusive.
A rapidly developing area of brain research is the study of spontaneous brain activity with functional magnetic resonance imaging, allowing
simultaneous characterization of a plethora of brain networks.
We suggest that psychological characteristics are likely to be strongly related to endogenous patterns of brain activity.
We seek to further improve the detectability of this relation by robustifying the patterns by measuring the brain during natural viewing, a rich
quasi-realistic stimulation.
The combined psychometrical and neuroimaging study will allow relating specific features of functional brain networks and personality. The
findings will be put in context by investigation of structural determinants of this relation through data-driven analysis and theoretical models.



[J1] Hlinka, J. & Hadrava, M. On the danger of detecting network states in white noise. Frontiers in Computational Neuroscience, 2015, 9

[J2] Melicher, T.; Horacek, J.; Hlinka, J.; Spaniel, F.; Tintera, J.; Ibrahim, I.; Mikolas, P.; Novak, T.; Mohr, P. & Hoschl, C. White matter changes in first episode psychosis and their relation to the size of sample studied: A DTI study. Schizophrenia Research , 2015, 162, 22 - 28

[J3] Profant, O.; Škoch, A.; Balogová, Z.; Tintěra, J.; Hlinka, J. & Syka, J. Diffusion tensor imaging and MR morphometry of the central auditory pathway and auditory cortex in aging. Neuroscience. 2014, 260, 87 - 9

[J4] Rasova, K.; Prochazkova, M.; Tintera, J.; Ibrahim, I.; Zimova, D. & Stetkarova, I. Motor programme activating therapy influences adaptive brain functions in multiple sclerosis: clinical and MRI study. International Journal of Rehabilitation Research, 2015, 38, 49-54

[J5] Runge, J.; Petoukhov, V.; Donges, J. F.; Hlinka, J.; Jajcay, N.; Vejmelka, M.; Hartman, D.; Marwan, N.; Palus, M. & Kurths, J. Identifying causal gateways and mediators in complex spatio-temporal systems. Nature communications, 2015, 6, 8502-850

[J6] Prochazkova, M.; Tintera, J.; Prochazka, A.; Martinkova, P. & Rasova, K. Changes of Effective Connectivity after Facilitation Physiotherapy in Multiple Sclerosis. Ceska a Slovenska Neurologie a Neurochirurgie, 2015, 78, 423-429

[J7] Wahl, B.; Feudel, U.; Hlinka, J.; Wächter, M.; Peinke, J. & Freund, J. A. Granger-causality maps of diffusion processes Physical Review E, 2016, 93, 022213

[J8] Martin, E. A.; Hlinka, J. & Davidsen, J. Pairwise network information and nonlinear correlations Phys. Rev. E, American Physical Society, 2016, 94, 040301

[J9] Lukavský, J. (2016), 'Gaze position lagging behind scene content in multiple object tracking: Evidence from forward and backward presentations', Attention, Perception, & Psychophysics, vol. 78, no. 8, pp. 2456-2468

[J10] Řasová, K.; Procházková, M.; Ibrahim, I.; Hlinka, J. & Tintěra, J. Možnosti aktivování plastických a adaptačních procesů v centrálním nervovém systému pomocí fyzioterapie u nemocných s roztroušenou sklerózou mozkomíšní, Česká a slovenská neurologie a neurochirurgie, 2017 (accepted)

[J11] Hlinka, J.; Hartman, D.; Jajcay, N.; Tomeček, D.; Tintěra, J. & Paluš, M. Small-world bias of correlation networks: from brain to climate, Chaos, 2017 (accepted)


Submitted papers:

Martin, E. A.; Hlinka, J.; Meinke, A.; Děchtěrenko, F. & Davidsen, J. Nonparametric Maximum Entropy Estimation on Information Diagrams. Submitted to Phys. Rev. E

Vejmelka, M.; Mantini, D.; Paluš, M.; Corbetta, M. & Hlinka, J. ICA-based definition of resting state brain networks and its relation to average association clustering. IEEE Transactions in Medical Imaging, submitted

Pidnebesna, A.; Tomeček, D. & Hlinka, J. BRAD: software for BRain Activity Detection from heamodynamic response, Computer Methods and Programs in Biomedicine, submitted

Hlinka, J.; Jajcay, N.; Tomecek, D.; Fajnerová, I.; Rydlo, J.; Tintera, J.; Horáček, J. & Lukavský, J. On seeking souls in brain graphs: fancy neuroimaging analysis gone wrong? Journal of Personality and Social Psychology, submitted

Hlinka, J.; Děchtěrenko, F.; Tintera, J.; Androvicova, R.; Rydlo, J.; Vejmelka, M.; Lukavsky, J. & Horacek, J. Is natural viewing a reliable alternative to resting state functional connectivity mapping? Neuroimage, submitted

Tomeček, D.; Androvičová, R.; Fajnerová, I.; Děchtěrenko, F.; Rydlo, J.; Horáček, J.; Lukavský, J.; Tintěra, J. & Hlinka, J. Personality Reflection in the Brain’s Intrinsic Functional Architecture Remains Elusive, Neuroimage, submitted