Title |
A toolbox for real-time subject-independent and subject-dependent classification of brain states from fMRI signals
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Published in |
Frontiers in Neuroscience, January 2013
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DOI | 10.3389/fnins.2013.00170 |
Pubmed ID | |
Authors |
Mohit Rana, Nalin Gupta, Josue L. Dalboni Da Rocha, Sangkyun Lee, Ranganatha Sitaram |
Abstract |
There is a recent increase in the use of multivariate analysis and pattern classification in prediction and real-time feedback of brain states from functional imaging signals and mapping of spatio-temporal patterns of brain activity. Here we present MANAS, a generalized software toolbox for performing online and offline classification of fMRI signals. MANAS has been developed using MATLAB, LIBSVM, and SVMlight packages to achieve a cross-platform environment. MANAS is targeted for neuroscience investigations and brain rehabilitation applications, based on neurofeedback and brain-computer interface (BCI) paradigms. MANAS provides two different approaches for real-time classification: subject dependent and subject independent classification. In this article, we present the methodology of real-time subject dependent and subject independent pattern classification of fMRI signals; the MANAS software architecture and subsystems; and finally demonstrate the use of the system with experimental results. |
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Switzerland | 1 | 50% |
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Japan | 2 | 2% |
Nigeria | 1 | 1% |
Italy | 1 | 1% |
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China | 1 | 1% |
Unknown | 81 | 90% |
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Researcher | 20 | 22% |
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Student > Bachelor | 6 | 7% |
Other | 16 | 18% |
Unknown | 7 | 8% |
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Psychology | 19 | 21% |
Engineering | 11 | 12% |
Computer Science | 8 | 9% |
Medicine and Dentistry | 8 | 9% |
Other | 13 | 14% |
Unknown | 11 | 12% |