Jiri Hammer presents Mapping motor and cognitive functions using intracranial EEG
On 2023-03-06 15:00:00 at G205, Karlovo náměstí 13, Praha 2
Intracranial EEG (iEEG) is a useful tool for cognitive research as it allows
monitoring of brain activity at high temporal (millisecond), spectral (up to 200
Hz) and spatial (millimetre) resolution. Due to its invasive nature, iEEG is
usually measured in patients with pharmacoresistant epilepsy. During their
video-iEEG monitoring period (1-2 weeks), various cognitive tasks can be
performed in agreement with the patient. We focus on tests of motor functions
(e.g. Hammer et al., 2016; Hammer et al., 2022), error-related potentials
(Voelker et al., 2018), processing of visual stimuli (Vlček et al., 2020), the
influence of mood on decision making (Cecchi et al., 2022), or switching of
internal and external attention (Hammer et al., 2023 - in prep.).
Hammer, J., Pistohl, T., Fischer, J., Kršek, P., Tomášek, M., Marusič, P.,
... & Ball, T. (2016). Predominance of movement speed over direction in neuronal
population signals of motor cortex: intracranial EEG data and a simple
explanatory model. Cerebral Cortex, 26(6), 2863-2881.
Hammer, J., Schirrmeister, R. T., Hartmann, K., Marusic, P., Schulze-Bonhage,
A., & Ball, T. (2022). Interpretable functional specialization emerges in deep
convolutional networks trained on brain signals. Journal of Neural Engineering,
19(3), 036006.
Völker, M., Fiederer, L. D., Berberich, S., Hammer, J., Behncke, J., Kršek,
P., ... & Ball, T. (2018). The dynamics of error processing in the human brain
as reflected by high-gamma activity in noninvasive and intracranial EEG.
Neuroimage, 173, 564-579.
Vlcek, K., Fajnerova, I., Nekovarova, T., Hejtmanek, L., Janca, R., Jezdik, P.,
... & Marusic, P. (2020). Mapping the scene and object processing networks by
intracranial EEG. Frontiers in Human Neuroscience, 411.
Cecchi, R., Vinckier, F., Hammer, J., Marusic, P., Nica, A., Rheims, S., ... &
Bastin, J. (2022). Intracerebral mechanisms explaining the impact of incidental
feedback on mood state and risky choice. Elife, 11, e72440.
monitoring of brain activity at high temporal (millisecond), spectral (up to 200
Hz) and spatial (millimetre) resolution. Due to its invasive nature, iEEG is
usually measured in patients with pharmacoresistant epilepsy. During their
video-iEEG monitoring period (1-2 weeks), various cognitive tasks can be
performed in agreement with the patient. We focus on tests of motor functions
(e.g. Hammer et al., 2016; Hammer et al., 2022), error-related potentials
(Voelker et al., 2018), processing of visual stimuli (Vlček et al., 2020), the
influence of mood on decision making (Cecchi et al., 2022), or switching of
internal and external attention (Hammer et al., 2023 - in prep.).
Hammer, J., Pistohl, T., Fischer, J., Kršek, P., Tomášek, M., Marusič, P.,
... & Ball, T. (2016). Predominance of movement speed over direction in neuronal
population signals of motor cortex: intracranial EEG data and a simple
explanatory model. Cerebral Cortex, 26(6), 2863-2881.
Hammer, J., Schirrmeister, R. T., Hartmann, K., Marusic, P., Schulze-Bonhage,
A., & Ball, T. (2022). Interpretable functional specialization emerges in deep
convolutional networks trained on brain signals. Journal of Neural Engineering,
19(3), 036006.
Völker, M., Fiederer, L. D., Berberich, S., Hammer, J., Behncke, J., Kršek,
P., ... & Ball, T. (2018). The dynamics of error processing in the human brain
as reflected by high-gamma activity in noninvasive and intracranial EEG.
Neuroimage, 173, 564-579.
Vlcek, K., Fajnerova, I., Nekovarova, T., Hejtmanek, L., Janca, R., Jezdik, P.,
... & Marusic, P. (2020). Mapping the scene and object processing networks by
intracranial EEG. Frontiers in Human Neuroscience, 411.
Cecchi, R., Vinckier, F., Hammer, J., Marusic, P., Nica, A., Rheims, S., ... &
Bastin, J. (2022). Intracerebral mechanisms explaining the impact of incidental
feedback on mood state and risky choice. Elife, 11, e72440.