71 research outputs found

    Twenty-first century brain banking. Processing brains for research: the Columbia University methods

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    Carefully categorized postmortem human brains are crucial for research. The lack of generally accepted methods for processing human postmortem brains for research persists. Thus, brain banking is essential; however, it cannot be achieved at the cost of the teaching mission of the academic institution by routing brains away from residency programs, particularly when the autopsy rate is steadily decreasing. A consensus must be reached whereby a brain can be utilizable for diagnosis, research, and teaching. The best diagnostic categorization possible must be secured and the yield of samples for basic investigation maximized. This report focuses on integrated, novel methods currently applied at the New York Brain Bank, Columbia University, New York, which are designed to reach accurate neuropathological diagnosis, optimize the yield of samples, and process fresh-frozen samples suitable for a wide range of modern investigations. The brains donated for research are processed as soon as possible after death. The prosector must have a good command of the neuroanatomy, neuropathology, and the protocol. One half of each brain is immersed in formalin for performing the thorough neuropathologic evaluation, which is combined with the teaching task. The contralateral half is extensively dissected at the fresh state. The anatomical origin of each sample is recorded using the map of Brodmann for the cortical samples. The samples are frozen at −160°C, barcode labeled, and ready for immediate disbursement once categorized diagnostically. A rigorous organization of freezer space, coupled to an electronic tracking system with its attached software, fosters efficient access for retrieval within minutes of any specific frozen samples in storage. This report describes how this achievement is feasible with emphasis on the actual processing of brains donated for research

    Swedish economic growth and education since 1800

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    The contribution of this paper is twofold. First, it builds and makes use of long-run data from Sweden on formal education that have never been used to date. Second, it provides a quantitative application of recent theoretical work on the link between demographic changes and economic growth through their effect on education. It concludes that changes in longevity may account for as much as 20% of the observed rise in education over the period from 1800-2000 via a horizon effect, but have little impact on income growth over the period. On the contrary, changes in population density and composition are central, mainly thanks to their effect on productivity. Most income growth over this period would not have materialized if demographic variables had stayed constant since 1800
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