Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Localization of epilepsy sources from clinical multimodal data using kernel methods

2015/17/B/ST7/04123

Keywords:

epilepsy electrocorticography ECoG Magnetic Resonance Imaging MRI local field potentials LFP current source density CSD kernel methods kernel CSD method kCSD finite element method FEM

Descriptors:

  • ST7_11: Electronic, optoelectronic and photonic components and systems for applications (e.g. in biomedical engineering)
  • ST6_12: Scientific computing, simulation and modelling tools
  • NZ4_10: Neuroimaging and computational neuroscience

Panel:

ST7 - Systems and communication engineering: electronics, communication, optoelectronics

Host institution :

Instytut Biologii Doświadczalnej im. M. Nenckiego PAN

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Daniel Wójcik 

Number of co-investigators in the project: 5

Call: OPUS 9 - announced on 2015-03-16

Amount awarded: 517 000 PLN

Project start date (Y-m-d): 2016-02-01

Project end date (Y-m-d): 2021-07-31

Project duration:: 66 months (the same as in the proposal)

Project status: Project settled

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (6)
  1. Corrected Four-Sphere Head Model for EEG Signals
    Authors:
    Solveig Næss, Chaitanya Chintaluri, Torbjørn V. Ness, Anders M. Dale, Gaute T. Einevoll, Daniel K. Wójcik
    Academic press:
    Front. Hum. Neurosci (rok: 2017, tom: 11, strony: 490), Wydawca: Frontiers
    Status:
    Published
    DOI:
    10.3389/fnhum.2017.00490 - link to the publication
  2. What we can and what we cannot see with extracellular multielectrodes
    Authors:
    Chaitanya Chintaluri, Marta Bejtka, Władysław Średniawa, Michał Czerwiński, Jakub M. Dzik, Joanna Jędrzejewska- Szmek, Kacper Kondrakiewicz, Ewa Kublik, Daniel K. Wójcik
    Academic press:
    PLOS Computational Biology (rok: 2021, tom: 17, strony: e1008615), Wydawca: PLOS
    Status:
    Published
    DOI:
    10.1371/journal.pcbi.1008615 - link to the publication
  1. Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains
    Authors:
    Daniel K. Wójcik, C. Chintaluri, D. Cserpan, Z. Somogyvari
    Conference:
    25th Annual Computational Neuroscience Meeting: CNS-2016 (rok: 2016, ), Wydawca: BioMedCentral
    Data:
    konferencja 7,2016
    Status:
    Published
    DOI:
    link to the publication
  2. TO LFP OR TO CSD? – THAT IS THE QUESTION
    Authors:
    Michał B. Czerwiński, Marta Kowalska, Chaitanya H. Chintaluri, Daniel K. Wójcik
    Conference:
    13th International Congress of the Polish Neuroscience Society (rok: 2017, ), Wydawca: Acta Neurobiologiae Experimentalis
    Data:
    konferencja 28-31.08.2017
    Status:
    Published
    DOI:
    link to the publication
  3. kCSD-python, a tool for reliable current source density estimation
    Authors:
    C. Chintaluri, M. Kowalska, W. Średniawa, M.B. Czerwiński, J.M. Dzik, J. Jędrzejewska- Szmek, D.K. Wójcik
    Conference:
    bioRxiv (rok: 2019, ), Wydawca: bioRxiv
    Data:
    konferencja 19,07
    Status:
    Published
    DOI:
    link to the publication
  4. CONCEPTUAL AND COMPUTATIONAL CHALLENGES IN MASSIVE MULTIELECTRODE DATA ANALYSIS
    Authors:
    Daniel Wójcik
    Conference:
    13th International Congress of the Polish Neuroscience Society (rok: 2017, ), Wydawca: Acta Neurobiologiae Experimentalis
    Data:
    konferencja 28-31.08.2017
    Status:
    Published
    DOI:
    link to the publication
  5. Kernel Current Source Density (kCSD) as an example of applied Machine Learning
    Authors:
    Jakub M. Dzik, Marta Bejtka, Chaitanya Chintaluri, Daniel K. Wójcik
    Conference:
    PP-RAI'2019 (rok: 2019, ), Wydawca: Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Science and Technology
    Data:
    konferencja 43754
    Status:
    Published
    DOI:
    link to the publication
  6. NEW INSIGHT INTO KERNEL CURRENT SOURCE DENSITY RECONSTRUCTION
    Authors:
    Marta Kowalska, Michał B. Czerwiński, Chaitanya H. Chintaluri, Daniel K. Wójcik
    Conference:
    13th International Congress of the Polish Neuroscience Society (rok: 2017, ), Wydawca: Acta Neurobiologiae Experimentalis
    Data:
    konferencja 28-31.08.2017
    Status:
    Published
    DOI:
    link to the publication

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