Michal Mikl

Masaryk University

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Radek Mareček

St. Anne's University Hospital Brno

103

Milan Brázdil

Central European Institute of Technology

Ivan Rektor

Central European Institute of Technology – Masaryk University

Petr Krůpa

University of Ostrava

Tomáš Kašpárek

Masaryk University

Irena Rektorová

Masaryk University

EČ

Eva Češková

Masaryk University

Martin Gajdoš

Masaryk University

Radovan Přikryl

Masaryk University

Martin Lamoš

Central European Institute of Technology – Masaryk University

Cooperative Institutions

Masaryk University

131

University Hospital Brno

St. Anne's University Hospital Brno

Central European Institute of Technology

Central European Institute of Technology – Masaryk University

Charles University

Universitat Autònoma de Barcelona

Brno University of Technology

University College London

Harvard University

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Journal of Neuroimaging (2013)

Ivica Husárová Michal Mikl Ovidiu Lungu Radek Mareček Jiří Vaníček

The cerebellum, basal ganglia (BG), and other cortical regions, such as supplementary motor area (SMA) have emerged as important structures dealing with various aspects of timing, yet the modulation of functional connectivity between them during motor timing tasks remains unexplored.We used dynamic causal modeling to investigate the differences in effective connectivity (EC) between these regions and its modulation by behavioral outcome during a motor timing prediction task in a group of 16 patients with early Parkinson's disease (PD) and 17 healthy controls. Behavioral events (hits and errors) constituted the driving input connected to the cerebellum, and the modulation in connectivity was assessed relative to the hit condition (successful interception of target).The driving input elicited response in the target area, while modulatory input changed the specific connection strength. The neuroimaging data revealed similar structure of intrinsic connectivity in both groups with unidirectional connections from cerebellum to both sides of the BG, from BG to the SMA, and then from SMA to the cerebellum. However, the type of intrinsic connection was different between two groups. In the PD group, the connection between the SMA and cerebellum was inhibitory in comparison to the HC group, where the connection was activated. Furthermore, the modulation of connectivity by the performance in the task was different between the two groups, with decreased connectivity between the cerebellum and left BG and SMA and a more pronounced symmetry of these connections in controls. In the same time, there was an increased EC between the cerebellum and both sides of BG with more pronounced asymmetry (stronger connection with left BG) in patients. In addition, in the PD group the modulatory input strengthened inhibitory connectivity between the SMA and the cerebellum, while in the HC group the excitatory connection was slightly strengthened.Our findings indicate that although early PD subjects and controls use similar functional circuits to maintain a successful outcome in predictive motor timing behavior, the type and strength of EC and its modulation by behavioral performance differ between these two groups. These functional differences might represent the first step of cortical reorganization aimed at maintaining a normal performance in the brain affected by early Parkinson's disease and may have implications for the neuro-rehabilitation field.

Motor symptoms

Basal (medicine)

10.1111/jon.12030

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Vliv prostorového vyhlazení snímků na výsledky skupinovéanalýzy ve fMRI

Michal Mikl Pavel Chlebus Milan Brázdil Aleš Drastich Petr Krůpa

Funkcni magneticka rezonance je vysetřovaci metoda, ktera slouži k lokalizaci aktivnich oblasti mozku souvisejicich s urcitým stimulacnim podnětem při vysetřeni echoplanarnimi sekvencemi v MR tomografu. Při zpracovani dat se jako jeden z možných kroků použiva prostorova filtrace typu dolni propust (prostorove vyhlazeni). Cilem prace je zjistit vliv vyhlazeni Gaussovým filtrem s různou mezni frekvenci (parametr FWHM) na výsledky skupinoveho průměru aktivaci.

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OPENING OF THE MULTIMODAL AND FUNCTIONAL IMAGING LABORATORY

Michal Mikl Ivan Rektor

Ceremonial opening of the Multimodal and Functional Imaging Laboratory was held on 5th May 2015. Participants had the oportunity to visit laboratories equiped with two unique tomographs(MAGNETOM Prisma 3T) within exkursion. Ceremonial opening was partially finaced by CEITEC – open access project.

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Optimization of fMRI Group Analysis Using Various SpatialSmoothing Parameters

NeuroImage (2005)

Michal Mikl Pavel Chlebus Milan Brázdil Aleš Drastich Petr Krůpa

Smoothing

Kernel (algebra)

Gaussian blur

Spatial filter

Group analysis

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The Impact of Diverse Preprocessing Pipelines on Brain Functional Connectivity

Zenodo (CERN European Organization for Nuclear Research) (2018)

Marek Bartoň J. Fousek Martin Gajdoš Martin Lamoš Radek Mareček

10.5281/zenodo.1159178

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P2-395: Default mode network in patients with degenerative brain diseases: An fMRI study

Alzheimer s & Dementia (2010)

Irena Rektorová L. Krajčovičová Michal Mikl Radek Mareček Ivan Rektor

The “default mode” system (DMS) is an organized network of brain structures (i.e. medial prefrontal cortex, anterior cingulate cortex, precuneus/posterior cingulate cortex (P/PCC), lateral parietal and medial temporal cortices) involved in brain activity during the resting state; it is characterized by a deactivation of these cortical areas during the performance of a cognitive task. DMS investigated in 18 patients with Alzheimer's disease (AD), 18 non-demented patients with Parkinson's disease (PD) on medication, and 18 healthy controls (HC). Imaging performed using a 1.5 T Siemens Symphony. Group differences assessed for ICA of resting state data, simple deactivations during a visual memory task, and functional connectivity (FC) analysis with seed located in P/PCC. Correlation analyses used to evaluate the effect of age and levodopa equivalent dose (LED) in PD. Results in the visual memory task (recognition; relative achievement in %): 38% ± 23.3% for AD, 74% ± 9.7% for PD, and 91% ± 9.0% for HC. There was a significantly reduced FC within the selected resting state network, specifically in the precuneus in AD compared to HC (p = 0.026 FWE, cluster level inference). No significant differences in DMS between PD and HC. A significant positive correlation observed between the strength of the seed FC in P/PCC and LED, i.e. the higher the LED, the higher the strength of correlation between the seed located in P/PCC and PCC. A significant negative correlation identified between the strength of the seed FC in the substantia nigra (SN) and LED, i.e. the higher the LED, the lower the strength of anti-correlation between the seed located in P/PCC and SN. A negative correlation found between subject age and deactivation in PCC. We found a significantly reduced FC within the selected resting state network, specifically in the precuneus of AD patients as compared to HC. No significant differences in DMS integrity were identified between cognitively normal PD patients on medication and HC. We demonstrated (i) a significant impact of LED on the strength of the correlation between P/PCC and PCC and (ii) a significant impact of LED on the strength of the anti-correlation between P/PCC and the SN.

Posterior cingulate

10.1016/j.jalz.2010.05.1447

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22. Comparison of the methods for brain parcellation

Clinical Neurophysiology (2014)

Eva Bujnošková J. Fousek Eva Hladká Michal Mikl

Brain atlas

10.1016/j.clinph.2013.12.060

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21. Effect of region coordinates shifting on dynamic causal modelling results

Clinical Neurophysiology (2014)

Martin Lamoš J. Klímová Michal Mikl J. Jan

SIGNAL (programming language)

Communication noise

10.1016/j.clinph.2013.12.059

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Dynamics of brain activity can reflect early signs of neurodegeneration

2021 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2022)

Martin Gajdoš Marie Novàkovâ Martin Lamoš Pavel Říha Irena Rektorová

Early detection of neurodegenerative disease is for the patient beneficious. Thus, this task is challenging and more relevant parameters for reliable detection are needed. Our aim is to present parameters of brain dynamics measured with magnetic resonance imaging as relevant markers of early signs of synucleinopathy. We use functional magnetic resonance data and sliding window analysis. We show the process of data processing, data extraction and dynamic parameters identification. We identified four states describing the dynamics of large scale brain networks and found significant alterations in mean dwell time in one of these states. Group with risk of neurodegeneration spent in this state significantly less time than group of healthy controls (p = 0.038) and the density of this state is significantly higher than in healthy controls controls (p = 0.038). Mean dwell time and density of this identified state might serve as reasonable marker in diagnosis of early stage of synucleinopathy.

Dwell time

Neurophysiology

Dynamics

10.1109/icecet55527.2022.9872993

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Resekční epileptochirurgie u pacientů s perirolandickouepilepsií

Česká a slovenská neurologie a neurochirurgie (2011)

Milan Brázdil Robert Kuba Jan Chrastina Zdeněk Novák Jan Hemza

Zhodnotit uspěsnost a bezpecnost resekcni epileptochirurgicke lecby v neselektovanem souborupacientů s lezionalni i non-lezionalni perirolandickou epilepsii. V indikovaných připadech se jevi resekcni epileptochirurgie jako jednoznacně uspěsna a poměrně bezpecna metoda lecby farmakorezistentnich pacientů s perirolandickou epilepsii, a to vcetně MR-negativnich připadů.

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