期刊
NMR IN BIOMEDICINE
卷 17, 期 8, 页码 602-612出版社
WILEY
DOI: 10.1002/nbm.936
关键词
brain plasticity; song control system; song bird brain; manganese-enhanced MRI; ME MRI
资金
- NINDS NIH HHS [NS 35467] Funding Source: Medline
The song control system of song birds is all excellent model for studying brain plasticity and has thus far been extensively analyzed by histological and electrophysiological methods. However, these approaches do not provide a global view of the brain and/or do not allow repeated measures, which are necessary to establish correlations between alterations in neural substrate and behavior. Application of in vivo manganese-enhanced MRI enabled us for the first time to visualize the song control system repeatedly in the same bird, making it possible to quantify dynamically the volume changes in this circuit as a function of seasonal and hormonal influences. In this review, we introduce and explore the song control system of song birds as a natural model for brain plasticity to validate a new cutting edge technique. which we called 'repeated dynamic manganese enhanced MRI' or D-MEMRI. This technique is based oil the use of implanted permanent cannulae- for accurate repeated manganese injections in a defined target area-and the Subsequent MRI acquisition of the dynamics of the accumulation of manganese in projection brain targets. A compilation of the D-MEMRI data obtained thus far ill this system demonstrates the usefulness of this new method for Studying brain plasticity. In particular it is shown to be a perfect tool for long-term studies of morphological and functional responses of specific brain Circuits to changes in endocrine conditions. The method was also successfully applied to obtain quantitative measures of changes in activity as a function of auditory stimuli in different neuronal populations of a same nucleus that project to different targets. D-MEMRI, combined with other MRI techniques. clearly harbors potential for unraveling seasonal, hormonal, pharmacological or even genetically driven changes in a neuronal circuit. by simultaneously measuring changes in morphology. activity and connectivity. Copyright (C) 2004 John Wiley Sons. Ltd.
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