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Updated: Jun 26, 2026

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
Published on: August 24, 2017
Comparison between hybrid feedforward-feedback, feedforward, and feedback structures for active noise control of fMRI
Rajiv M Reddy1, Issa M S Panahi
1Department of Electrical Engineering, The University of Texas, Dallas, TX 75080, USA. rajiv.reddy@student.utdallas.edu
Abstract:
The performance of FIR feedforward, IIR feedforward, FIR feedback, hybrid FIR feedforward--FIR feedback, and hybrid IIR feedforward - FIR feedback structures for active noise control (ANC) are compared for an fMRI noise application. The filtered-input normalized least squares (FxNLMS) algorithm is used to update the coefficients of the adaptive filters in all these structures. Realistic primary and secondary paths of an fMRI bore are used by estimating them on a half cylindrical acrylic bore of 0.76 m (D)x1.52 m (L). Detailed results of the performance of the ANC system are presented in the paper for each of these structures. We find that the IIR feedforward structure produces most of the performance improvement in the hybrid IIR feedforward - FIR feedback structure and adding the feedback structure becomes almost redundant in the case of fMRI noise.
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