Project information
Optimalizace metodiky analýzy a hodnocení simultánního EEG-fMRI u pacientů s farmakorezistentní epilepsií
- Project Identification
- GAP304/11/1318
- Project Period
- 3/2011 - 12/2013
- Investor / Pogramme / Project type
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Czech Science Foundation
- Standard Projects
- MU Faculty or unit
- Central European Institute of Technology
- Cooperating Organization
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Brno University of Technology
St. Anne's University Hospital Brno
Optimalizace stávajících a vývoj nových metod analýzy EEG-fMRI dat s využitím data-driven metod (ICA, CCA. Aplikace při lokalizaci epileptogenní zóny u pacientů a farmakorezistentní epilepsií.
Publications
Total number of publications: 13
2018
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Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA
BRAIN TOPOGRAPHY, year: 2018, volume: 31, edition: 1, DOI
2015
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Exploring task-related variability in fMRI data using fluctuations in power spectrum of simultaneously acquired EEG
Journal of Neuroscience Methods, year: 2015, volume: 245, edition: April, DOI
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Mouse Incisor Stem Cell Niche and Myb Transcription Factors
Anatomia Histologia Embryologia, year: 2015, volume: 44, edition: 5, DOI
2014
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Properties of Neural Crest-Like Cells Differentiated from Human Embryonic Stem Cells
Folia biologica, year: 2014, volume: 60, edition: Suppl. 1
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Recent Approaches in Tooth Engineering Research
Folia biologica, year: 2014, volume: 60, edition: Supplement 1
2013
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Association Between the Basal Ganglia and Large-Scale Brain Networks in Epilepsy
BRAIN TOPOGRAPHY, year: 2013, volume: 26, edition: 2, DOI
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Differentiation of neural crest cells from human embryonic stem cells and their odontogenic induction
Year: 2013, type: Appeared in Conference without Proceedings
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Intracranial EEG seizure onset patterns in unilateral temporal lobe epilepsy and their relationship to other variables
Clinical Neurophysiology, year: 2013, volume: 124, edition: 6, DOI
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Quantificatio of active caspases in stem cells: single cell analysis at femtogram level
Year: 2013, type: Conference abstract
2012
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Comparing fMRI data processing methods with respect to possible inaccuracy
Systems, Signals and Image Processing (IWSSIP), 2012 19th International Conference on, year: 2012