Acoustically evoked brain stem potential in Wilson disease

By 48 patients with Wilson's disease the brainstem acoustic evoked potentials were stated. There were 35 pathological findings (73%), 13 were normal (27%). The waves, determined by the middle and upper brainstem (Pons and Mesencephalon) showed most of all pathological changes. Those patients with forms of Wilson's disease called Pseudoskelerose and Pseudoparkinson showed the most pathological findings. But one could watch these findings by about 30% of patients in preclinical stage. This method can possibly be used for early detection of disorders of brainstem functions and in the same way it can be used for control of treatment by patients in preclinical stage.     

Clinical and cisternographic differential diagnosis between presenile dementia and Hakim syndrome

The authors compared with regard clinical and the radionuclide cisternography examination 27 patients with Hakim-Syndrome and 11 with Alzheimer-Disease. In all cases, dementia was a stable symptom. Patients with Hakim-Syndrome have an early gait disturbance, ataxia and epileptic seizures. Only in case of patients with Alzheimer-Disease we found aphasia, apraxia and psychotic disorders. 24 hours after the injection radionuclide cisternography showed ventricular retention and absence of parasagital accumulation only in patients with Hakim-Syndrome. Lighter changes (mixed cisternographic pattern) were found in patients with Alzheimer-Disease as well.     

Visual attention to own- versus other-race faces: Perspectives from learning mechanisms and task demands

Multiple factors have been proposed to contribute to the other-race effect in face recognition, including perceptual expertise and social-cognitive accounts. Here, we propose to understand the effect and its contributing factors from the perspectives of learning mechanisms that involve joint learning of visual attention strategies and internal representations for faces, which can be modulated by quality of contact with other-race individuals including emotional and motivational factors. Computational simulations of this process will enhance our understanding of interactions among factors and help resolve inconsistent results in the literature. In particular, since learning is driven by task demands, visual attention effects observed in different face-processing tasks, such as passive viewing or recognition, are likely to be task specific (although may be associated) and should be examined and compared separately. When examining visual attention strategies, the use of more data-driven and comprehensive eye movement measures, taking both spatial–temporal pattern and consistency of eye movements into account, can lead to novel discoveries in other-race face processing. The proposed framework and analysis methods may be applied to other tasks of real-life significance such as face emotion recognition, further enhancing our understanding of the relationship between learning and visual cognition.