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Wyświetlanie 1-2 z 2
Tytuł:
Functional neuromarkers for neuropsychology
Autorzy:
Kropotov, Juri D
Powiązania:
https://bibliotekanauki.pl/articles/2137701.pdf
Data publikacji:
2018-03-19
Wydawca:
Fundacja Edukacji Medycznej, Promocji Zdrowia, Sztuki i Kultury Ars Medica
Tematy:
neuroimaging
quantitative EEG
event related de/synchronization
event-related potentials
Opis:
This article is written to commemorate the 40th year of the scientific career of Professor Maria Pąchalska, Head of the Department of Neuropsychology and Neurorehabilitation at Krakow University, President of the Polish Neuropsychological Society, and the Editor-in-chief of Acta Neuropsychologica, with whom I have been collaborating for over ten years. The subject matter of our work includes the introduction of HBI methodology to clinics and the search for neuromarkers in particular disease entities. What is the new methodology we are talking about? In general, we think of a biomarker (or biological marker) as a characteristic that can be objectively measured and evaluated as an index of normal or pathological biological processes. For disorders of the central nervous system, biomarkers can be classified as clinical, neuroimaging, biochemical or genetic, according to the type of information they provide. Expectations for the development of biomarkers are high, since they could lead to a significant improvement in diagnosing and possibly preventing neurological and psychiatric diseases. Neuroimaging is an array of neuroscience methods that include the techniques of magnetic resonance imaging (MRI), functional MRI (fMRI), and PET (positron emission tomography), as well as Electroencephalogram (EEG) and Magnetoencephalogram (MEG) techniques, such as quantitative EEG (QEEG), event related de/synchronization (ERD/ERS) and event-related potentials (ERPs).
Źródło:
Acta Neuropsychologica; 2018, 16(1); 1-7
1730-7503
2084-4298
Pojawia się w:
Acta Neuropsychologica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Event-related desynchronization/synchronization-based volitional cursor control in a two-dimensional center-out paradigm
Autorzy:
Huang, D.
Qian, K.
Oxenham, S.
Fei, D. -Y.
Bai, O.
Powiązania:
https://bibliotekanauki.pl/articles/1396737.pdf
Data publikacji:
2012
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
brain-computer interface
BCI
two-dimensional
two-dimensional BCI control
event-related synchronization
event-related desynchronization
EEG
Opis:
To achieve a reliable two-dimensional control by noninvasive EEG-based brain-computer interface (BCI), users are typically required to receive long-term training to learn effective regulation of their brain rhythmic activities, and to maintain sustained attention during the operation. We proposed a two-dimensional BCI using event-related desynchronization and event-related synchronization associated with human natural behavior so that users need neither long-term training nor high mental loads to maintain concentration. In this study, we intended to further investigate the performance of the proposed BCI associated with either physical movement or motor imagery with an online two-dimensional centerout cursor control paradigm. Model adaptation method was employed for better decoding of human movement intention from EEG activities. The results demonstrated an effective center-out cursor control: as high as 77.1% during online control with physical movement and 57.3% with motor imagery. It suggests that two-dimensional BCI control can be achieved without long-term training.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2012, 2, 2; 97-108
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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