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Brain–Computer Interfaces - Index of

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Dynamics <strong>of</strong> Sensorimotor Oscillations in a Motor Task 57<br />

initial, short-lasting peak was followed by a broad-banded peak within the next<br />

seconds. This later peak is very likely the result <strong>of</strong> the conscious executed motor<br />

imagery task. An initial recognition peak after visual cue presentation was already<br />

reported in a memorized delay movement experiment with left/right finger and foot<br />

movements [71] and after right/left hand movement imagination [72].<br />

The initial, short-lasting separability peak suggests that the EEG signals display<br />

different spatio-temporal patterns in the investigated imagery tasks in a small time<br />

window <strong>of</strong> about 500–800 ms length. So, for instance, short-lasting mu and/or beta<br />

ERD patterns at somatotopically specific electrode locations are responsible for the<br />

high classification accuracy <strong>of</strong> the visually cued motor imagery tasks. The right<br />

side <strong>of</strong> Fig. 7 presents examples <strong>of</strong> such ERD maps obtained in one subject, and<br />

the left side shows examples <strong>of</strong> separability curves for the discrimination between<br />

left vs. right hand, left hand vs. foot and right hand vs. foot motor imagery from<br />

the same subject. The great inter-subject stability and reproducibility <strong>of</strong> this early<br />

separability peak shows that, in nearly every subject, such a somatotopically-specific<br />

activation (ERD) pattern can be induced by the cue stimulus. In other words, the cue<br />

can induce a short-lived brain state as early as about 300 ms after cue onset. This<br />

process is automatic and probably unconscious, may a type <strong>of</strong> priming effect, and<br />

could be relevant to a motor imagery-based BCI.<br />

We hypothesize, therefore, that the short-lived brain states probably reflect central<br />

input concerning the motor command for the type <strong>of</strong> the upcoming MI task.<br />

This may be the result <strong>of</strong> a certain “motor memory”, triggered by the visual cue. It<br />

has been suggested that such “motor memories” are stored in cortical motor areas<br />

and the cerebellum motor systems [73], and play a role when memories <strong>of</strong> previous<br />

experiences are retrieved during the MI process [74].<br />

8 Observation <strong>of</strong> Movement and Sensorimotor Rhythms<br />

There is increasing evidence that observing movements reduces the mu rhythm and<br />

beta oscillations recorded from scalp locations C3 and C4. Gastaut and Bert [75]<br />

and later Cochin [76] and Muthukumavaswauny [77] reported an attenuation <strong>of</strong> the<br />

central mu rhythm by observation <strong>of</strong> experimental hand grasp. Altschuler et al. [78]<br />

found that the mu rhythm desynchronized when subjects observed a moving person,<br />

but not when they viewed equivalent non-biological motion such as bouncing balls.<br />

Also, Cochin [76] reported a larger mu and beta power decrease during observation<br />

<strong>of</strong> a moving person than during observation <strong>of</strong> flowing water.<br />

Consistent with the reported findings, a previous study in our laboratory [79]<br />

showed that the processing <strong>of</strong> moving visual stimuli depends on the type <strong>of</strong> the<br />

moving object. Viewing a moving virtual hand resulted in a stronger desynchronization<br />

<strong>of</strong> the central beta rhythm than viewing a moving cube (Fig. 8). Moreover,<br />

the presence <strong>of</strong> an object, indicating a goal-directed action, increases the mu rhythm<br />

suppression compared to meaningless actions [77].<br />

Modulation <strong>of</strong> sensorimotor brain rhythms in the mu and beta frequency band<br />

during observation <strong>of</strong> movement has been linked to the activity <strong>of</strong> the human mirror

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