Počet záznamů: 1  

Analysis of evoked deep brain connectivity

  1. 1.
    0423942 - ÚPT 2014 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
    Klimeš, Petr - Janeček, Jiří - Jurák, Pavel - Halámek, Josef - Chládek, Jan - Brázdil, M.
    Analysis of evoked deep brain connectivity.
    35th Annual International Conference of the IEEE (EMBC 2013) - Conference proceedings. Piscataway: IEEE Service Center, 2013, s. 4358-4361. ISBN 978-1-4577-0216-7. ISSN 1557-170X.
    [Annual International Conference of the IEEE Engineering in Medicine and Biology Society /35./. Osaka (JP), 03.07.2013-07.07.2013]
    Grant CEP: GA ČR GAP103/11/0933
    Institucionální podpora: RVO:68081731
    Klíčová slova: biomedical electrodes * brain * electroencephalography
    Kód oboru RIV: FH - Neurologie, neurochirurgie, neurovědy

    Establishing dependencies and connectivity among different structures in the human brain is an extremely complex issue. Methods that are often used for connectivity analysis are based on correlation mechanisms. Correlation methods can analyze changes in signal shape or instantaneous power level. Although recent studies imply that observation of results from both groups of methods together can disclose some of the basic functions and behavior of the human brain during mental activity and decision-making, there is no technique covering changes in the shape of signals along with changes in their power levels. We present a method using a time evaluation of the correlation along with a comparison of power levels in every available contact pair from intracranial electrodes placed in deep brain structures. Observing shape changes in signals after stimulation together with their power levels provides us with new information about signal character between different structures in the brain during task-related events - visual stimulation with motor response. The results for a subject with 95 intracerebral contacts used in this paper demonstrate a clear methodology capable of spatially analyzing connectivity among deep brain structures.
    Trvalý link: http://hdl.handle.net/11104/0229989

     
     
Počet záznamů: 1  

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