Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke
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- 作者：Elena Jiménez-Xarrié ; Myriam Davila ; Ana Paula Candiota…
- 关键词：Magnetic resonance spectroscopy ; Metabolomics ; Pattern recognition ; Stroke ; Animal model
- 刊名：BMC Neuroscience
- 出版年：2017
- 出版时间：December 2017
- 年：2017
- 卷：18
- 期：1
- 全文大小：1412KB
- 刊物主题：Neurosciences; Neurobiology; Animal Models;
- 出版者：BioMed Central
- ISSN：1471-2202
- 卷排序：18
文摘
Background Magnetic resonance spectroscopy (MRS) provides non-invasive information about the metabolic pattern of the brain parenchyma in vivo. The SpectraClassifier software performs MRS pattern-recognition by determining the spectral features (metabolites) which can be used objectively to classify spectra. Our aim was to develop an Infarct Evolution Classifier and a Brain Regions Classifier in a rat model of focal ischemic stroke using SpectraClassifier.