Search results for "Healthy elderly"
showing 3 items of 13 documents
Aging effects and feasibility of statistical learning tasks across modalities
2021
Knowledge on statistical learning (SL) in healthy elderly is scarce. Theoretically, it is not clear whether aging affects modality-specific and/or domain-general learning mechanisms. Practically, there is a lack of research on simplified SL tasks, which would ease the burden of testing in clinical populations. Against this background, we conducted two experiments across three modalities (auditory, visual and visuomotor) in a total of 93 younger and older adults. In Experiment 1, SL was induced in all modalities. Aging effects appeared in the tasks relying on an explicit posttest to assess SL. We hypothesize that declines in domain-general processes that predominantly modulate explicit learn…
Mucormycosis in a healthy elderly patient presenting as oro-antral fistula: Report of a rare incidence
2015
Mucormycosis is a rare opportunistic fungal infection that commonly affects patients who are immuno-compromised. It invariably presents as an acute spreading infection, with very poor prognosis if not treated promptly. We report a case of mucormycosis in immuno-competent elderly patient, presenting as oro-antral communication. Patient’s history, clinical and laboratory evaluation revealed no systemic predisposing factors. The disease was non-fulminant, localized and showed remission after local measures, without parentral anti-fungal therapy. Key words:Mucormycosis, maxilla, elderly, oroantral communication.
<title>Effects of peripheral dynamic movements on the lower-limb circulation assessed by thermography: three one-group studies</title>
2002
Peripheral dynamic movements are used as part of postoperative protocols and for preventing vascular complications during bed rest. The effects of peripheral movements have not been studied. The purposes of these studies were to explain the effects of peripheral dynamic movements on lower limb circulation. The aim was also to explain how other factors like sex, age, BMI, medication, smoking, sports activity etc. affect the circulation. Healthy young subjects (N=19), healthy elderly subjects (N=19) and diabetic subjects (N=21) participated in the studies between 1997 and 1999. The study design was the same in each study. Infrared technology and image processing belong to our focus fields of …