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Front Behav Neurosci. 2015 Jan 30;9:3. doi: 10.3389/fnbeh.2015.00003. eCollection 2015.

FRIEND Engine Framework: a real time neurofeedback client-server system for neuroimaging studies.

Author information

1
Cognitive and Behavioral Neuroscience Unit and Neuroinformatics Workgroup, D'Or Institute for Research and Education Rio de Janeiro, Brazil.
2
Cognitive and Behavioral Neuroscience Unit and Neuroinformatics Workgroup, D'Or Institute for Research and Education Rio de Janeiro, Brazil ; Center of Mathematics, Computation and Cognition, Universidade Federal do ABC Santo André, Brazil.
3
Department of Psychological Medicine, Institute of Psychiatry, King's College London, UK.

Abstract

In this methods article, we present a new implementation of a recently reported FSL-integrated neurofeedback tool, the standalone version of "Functional Real-time Interactive Endogenous Neuromodulation and Decoding" (FRIEND). We will refer to this new implementation as the FRIEND Engine Framework. The framework comprises a client-server cross-platform solution for real time fMRI and fMRI/EEG neurofeedback studies, enabling flexible customization or integration of graphical interfaces, devices, and data processing. This implementation allows a fast setup of novel plug-ins and frontends, which can be shared with the user community at large. The FRIEND Engine Framework is freely distributed for non-commercial, research purposes.

KEYWORDS:

EEG; FSL; brain computer interface (BCI); neurofeedback; real-time fMRI

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