Biomedical subjects

C Nölker

Publications and source records attributed to C Nölker.

2 recordsLinked to original sources

PubMed2004

Intravenous immunoglobulins containing antibodies against beta-amyloid for the treatment of Alzheimer's disease.

OBJECTIVE: Active or passive immunisation can mitigate plaque pathology in murine models of Alzheimer's disease (AD). Recently, it has been shown that antibodies against beta-amyloid (Abeta) are present in human immunoglobulin preparations (IVIgG), which specifically recognise and inhibit the neurotoxic effects of Abeta. This study reports the results from a pilot study using IVIgG in patients with AD. METHODS: Five patients with AD were enrolled and received monthly IVIgG over a 6 month period. Efficacy assessment included total Abeta/Abeta(1-42) measured in the CSF/serum as well as effects on cognition (ADAS-cog; CERAD) at baseline and at 6 months following IVIgG. RESULTS: Following IVIgG, total Abeta levels in the CSF decreased by 30.1% (17.3-43.5%) compared to baseline (p<0.05). Total Abeta increased in the serum by 233% (p<0.05). No significant change was found in Abeta(1-42) levels in the CSF/serum. Using ADAS-cog, an improvement of 3.7+/-2.9 points was detected. Scores in the MMSE were essentially unchanged (improved in four patients, stable in one patient) following IVIgG compared to baseline. CONCLUSION: Although the sample size of this pilot study is too small to draw a clear conclusion, the results of this pilot study provide evidence for a more detailed investigation of IVIgG for the treatment of AD.

Alzheimer Disease↗

PubMed2003

Neural architectures for robot intelligence.

We argue that direct experimental approaches to elucidate the architecture of higher brains may benefit from insights gained from exploring the possibilities and limits of artificial control architectures for robot systems. We present some of our recent work that has been motivated by that view and that is centered around the study of various aspects of hand actions since these are intimately linked with many higher cognitive abilities. As examples, we report on the development of a modular system for the recognition of continuous hand postures based on neural nets, the use of vision and tactile sensing for guiding prehensile movements of a multifingered hand, and the recognition and use of hand gestures for robot teaching. Regarding the issue of learning, we propose to view real-world learning from the perspective of data-mining and to focus more strongly on the imitation of observed actions instead of purely reinforcement-based exploration. As a concrete example of such an effort we report on the status of an ongoing project in our laboratory in which a robot equipped with an attention system with a neurally inspired architecture is taught actions by using hand gestures in conjunction with speech commands. We point out some of the lessons learnt from this system, and discuss how systems of this kind can contribute to the study of issues at the junction between natural and artificial cognitive systems.

Action Potentials↗