Jaroslav Hlinka

National Institute of Mental Health

Czech Republic

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Articles (17)

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Collaborators (11)

Barbora Rehak Buckova

National Institute of Mental Health

CZECH REPUBLIC

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Antonin Skoch

Institute of Experimental Medicine

CZECH REPUBLIC

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Marian Kolenic

National Institute of Mental Health

CZECH REPUBLIC

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Christoph Abé

Assistant Professor

Karolinska Institutet

SWEDEN

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Petr Marusic

University Hospital in Motol

CZECH REPUBLIC

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Isa Dallmer-Zerbe

Charles University

CZECH REPUBLIC

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Jakub Kopal

Mila - Quebec Artificial Intelligence Institute

CANADA

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Jiri Horacek

National Institute of Mental Health

CZECH REPUBLIC

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Kamila Rasova

Associate of professor

Charles University Faculty of Medicine

CZECH REPUBLIC

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Jan Rydlo

National Institute of Mental Health

CZECH REPUBLIC

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Gloria Roberts

UNSW Sydney

AUSTRALIA

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Jaroslav Hlinka

Research Interests

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Articles (17)

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

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

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

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

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

Higher order definition of causality by optimally conditioned transfer entropy

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

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

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

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

Computational modeling allows unsupervised classification of epileptic brain states across species

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

Towards causal mechanisms of consciousness through focused transcranial brain stimulation

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

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

Tackling the challenges of group network inference from intracranial EEG data

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

Collaborators (11)

Barbora Rehak Buckova

Antonin Skoch

Marian Kolenic

Christoph Abé

Petr Marusic

Isa Dallmer-Zerbe

Jakub Kopal

Jiri Horacek

Kamila Rasova

Jan Rydlo

Gloria Roberts

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