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《Chinese Science Bulletin》 2014-02
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Real-time functional magnetic resonance imaging and its applications

L BingJiang;ZHAO XiaoJie;YAO Li;GAO JiaHong;Beijing City Key Laboratory for Medical Physics and Engineering,Peking University;Center for Magnetic Resonance Imaging (MRI) Research,Academy for Advanced Interdisciplinary Studies,Peking University;College of Information Science and Technology,Beijing Normal University;State Key Laboratory of Cognitive Neuroscience and Learning,Beijing Normal University;IDG/McGovern Institute for Brain Research,Peking University;  
Real-time functional magnetic resonance imaging(rtfMRI) has made it possible to gain accesses to brain cortex activities immediately in an on-going experiment by analyzing data as fast as they are acquired.The continuously updated hemodynamic results could be used as neruo-feedback to build a closed information loop.Recently improvements in acquisition techniques and processing algorithms along with advances in computational power have facilitated the development of rtfMRI and its applications in neuroscience and clinical therapy.Preliminary evidence suggested that self-regulation of certain brain areas could be achieved by rtfMRI neuro-feedback,resulting in the changes of related cognitive processes or behaviors,which provides a novel paradigm for cognitive neuroscience.rtfMRI can also be used as a brain-computer interface with high spatial resolution and whole brain coverage.Since brain states can be decoded and classified in real time,interactions with the outside could be dependent only on brain activities.In addition,the potential usage of rtfMRI for clinical applications has drawn public attentions.Patients might be able to modulate their abnormal brain activation using neuro-feedback based on rtfMRI,thus it has been suggested as a new tool for the treatment and rehabilitation of neurological or pathological disorders.This article aims to review the core concepts,key techniques and related applications of rtfMRI.Current problems and future directions are also discussed at the end.
【Fund】: 国家自然科学基金(81227003 60931003 61071178);; 国家科技支撑计划(2011BAI12B01)资助
【CateGory Index】: R445.2
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Chinese Journal Full-text Database 5 Hits
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