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Jaroslav Hlinka

National Institute of Mental Health

Czech Republic

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Research Interests

Cognitive Neuroscience

60%

Computational Neuroscience

30%

Neuroscience

70%

Eeg

30%

Affective Neuroscience

20%

Brain-computer Interface

20%

Brain

20%

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Articles17

Beliefs in Misinformation About COVID-19 and the Russian Invasion of Ukraine Are Linked: Evidence From a Nationally Representative Survey Study

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Year:

2025

Using normative models pre-trained on cross-sectional data to evaluate intra-individual longitudinal changes in neuroimaging data

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2025

Using normative models pre-trained on cross-sectional data to evaluate intra-individual longitudinal changes in neuroimaging data

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Year:

2025

Pro-ictal, rather than pre-ictal, brain state marked by global critical slowing and local gamma power increase

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Year:

2025

Response prediction of antidepressants: Using graph theory tools for brain network connectivity analysis

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2025

Higher order definition of causality by optimally conditioned transfer entropy

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Year:

2025

Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—ENIGMA study in people with bipolar disorders and obesity

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Year:

2024

Large‐scale network dynamics underlying the first few hundred milliseconds after stimulus presentation: An investigation of visual recognition memory using iEEG

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Year:

2023

Personalized dynamic network models of the human brain as a future tool for planning and optimizing epilepsy therapy

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Year:

2023

Towards a dynamical understanding of microstate analysis of M/EEG data

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Year:

2023

Computational modeling allows unsupervised classification of epileptic brain states across species

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Year:

2023

Sign patterns symbolization and its use in improved dependence test for complex network inference

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2023

Towards causal mechanisms of consciousness through focused transcranial brain stimulation

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Year:

2023

Mixture Components Inference for Sparse Regression: Introduction and Application for Estimation of Neuronal Signal from fMRI BOLD

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Year:

2023

Multimodal-neuroimaging machine-learning analysis of motor disability in multiple sclerosis

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Year:

2023

Tackling the challenges of group network inference from intracranial EEG data

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Year:

2022

The intra‐session reliability of functional connectivity during naturalistic viewing conditions

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Year:

2022

Collaborators11

Barbora Rehak Buckova

National Institute of Mental Health

CZECH REPUBLIC

Antonin Skoch

Institute of Experimental Medicine

CZECH REPUBLIC

Marian Kolenic

National Institute of Mental Health

CZECH REPUBLIC

Christoph Abé

Assistant Professor

Karolinska Institutet

SWEDEN

Petr Marusic

University Hospital in Motol

CZECH REPUBLIC

Isa Dallmer-Zerbe

Charles University

CZECH REPUBLIC

Jakub Kopal

Mila - Quebec Artificial Intelligence Institute

CANADA

Jiri Horacek

National Institute of Mental Health

CZECH REPUBLIC

Kamila Rasova

Associate of professor

Charles University Faculty of Medicine

CZECH REPUBLIC

Jan Rydlo

National Institute of Mental Health

CZECH REPUBLIC

Gloria Roberts

UNSW Sydney

AUSTRALIA

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