Avtor/Urednik		Brežan, Simon; Logar, Vito; Rutar, Veronika
Naslov		Elektroencefalografska koherenca med vidnimi in motoričnimi področji možganske skorje pri vidno-motorični nalogi
Tip		monografija
Kraj izdaje		Ljubljana
Založnik		Medicinska fakulteta
Leto izdaje		2003
Obseg		str. 49
Jezik		slo
Abstrakt		Background. The functional integration ("binding") of different brain areas, for example as a possible mechanism for stimulus perception, is perhaps mediated by the synchronizing oscillatory activity of neuronal populations, which can be determined by the electroencephalographic coherence analysis. Visuomotor integration in a visuomotor task requires functional cooperation between motor and visual cortical areas. Unilateral limb movements are based on the activation of contralateral primary motor cortex and the bilateral activation of premotor cortices. Aaim. Our main aim was to introduce a new method of coherence analysis and to compare our results measured on a well-established model of the visuomotor task with other comparable studies, thereby assessing the validity of the method. Then we compared the changes in coherence and power spectra of the left and the right hemisphere of the brain while subjects performed the visuomotor task with the right and with the left hand. Hypothesis. We presumed that the coherence between visual and motor areas of the cortex would increase for the visuomotor task compared to the control tasks. We also hypothesized that increase in coherence and decrease in power spectrum while performing the task with the right hand would be greater in the left hemisphere and vice versa. Methods. We tested 6 healthy, right-handed subjects and recorded their electroencephalogram while they performed 4 different tasks: visuomotor task with the right and the left hand (which required coordination between visual and motor brain areas), visual, motor and, visual and motor task (which required independent activation of visual and motor areas). For coherence and spectral analysis, a special computer programme was designed using Matlab software. The results were statistically analysed by a two-way analysis of variance, one-way analysis of variance and post hoc t-tests with Bonferroni correction. (Abstract truncated at 2000 characters).
Deskriptorji		ELECTROENCEPHALOGRAPHY MOTOR CORTEX VISUAL CORTEX ELECTROMYOGRAPHY ELECTROOCULOGRAPHY DOMINANCE, CEREBRAL MOTOR ACTIVITY PHOTIC STIMULATION