No abstract available

[en] Aim: To assess the regional cerebral activation during navigation in a virtual reality (VR) environment in healthy volunteers and patients with mild cognitive impairment (MCI) to identify possible differences in cerebral processing of a complex cognitive task. Materials and Methods: A computer-based VR-system has been developed that allows movements in a virtual labyrinth using a special space-mouse and 3-dimensional perception by shutter-glasses. In 11 healthy, right-handed volunteers (3 female, age 66+/-9 years) and 9 patients with MCI (3 female, 69+/-10 years, diagnosis according to criteria of the Mayo-Clinic) twelve H215O PET-scans were performed (each 370 MBq i.v.-bolus). During the scan subjects had to navigate actively from startpoint to a predefined destination point. Three difficulty levels were presented, 4 times each, in randomized order. Test performance (speed, mistakes) was co-registered. PET data were analyzed using statistical parametric mapping (SPM99, Wellcome Inst., London, UK) including correlation analysis with the acquired test performance results. A significance threshold of p<0,001 uncorrected was applied. Results: In both groups a similar network of extended cerebral activation was identified during active navigation, including maxima in the cerebellum, premotor cortex (Brodmann area [BA] 6), parietal cortex (BA 7, 40) and posterior cingulate cortex (BA 31). However, in MCI-patients a significantly stronger activation of anterior cingulate cortex (BA 24), prefrontal cortex (BA 8) and parietal cortex (BA 40) was observed, as compared to healthy volunteers. Conclusion: The applied combination of PET and VR-technology allows to examine the processing of complex cognitive tasks in the brain. During active navigation significant differences have been observed between the activated cerebral networks in MCI-patients and healthy volunteers. In MCI-patients stronger activation has been identified in cerebral regions associated with attention and spatial orientation. This may represent increased cognitive work in these patients, who have a higher risk to develop Alzheimer's disease and may already suffer from neuro degenerative processes