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The RF Cap: A 26-channel flexible RF coil cap for optimized concurrent TMS/fMRI experiments at 3T
Lucia I Navarro de Lara1,2, Sebastian Ardila1, Lincoln Craven-Brightman1
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States.
Imaging Neuroscience (Cambridge, Mass.)
|October 17, 2025
Summary
Researchers developed the RF Cap, a novel flexible radiofrequency coil, for simultaneous transcranial magnetic stimulation (TMS) and functional magnetic resonance imaging (fMRI). This hardware significantly enhances brain imaging quality during TMS experiments.
Area of Science:
- Neuroimaging
- Neuroscience
- Biomedical Engineering
Background:
- Combining brain imaging with non-invasive brain stimulation like transcranial magnetic stimulation (TMS) offers significant potential for understanding brain function.
- Existing hardware solutions for concurrent TMS/fMRI are limited, often sacrificing imaging quality.
Purpose of the Study:
- To design, construct, and test a novel hardware solution for feasible concurrent TMS/fMRI at 3 Tesla without compromising image quality.
- To introduce the "RF Cap," a 26-channel flexible RF coil cap optimized for simultaneous TMS and fMRI.
Main Methods:
- Developed a 26-channel flexible RF coil cap (RF Cap) with full brain coverage.
- The RF Cap features a flexible neoprene cap with 26 RF coaxial cable loops and a rigid part for preamplifiers.
- Integrated flexible PCBs and a BALUN to minimize common mode signals for improved performance.
Main Results:
- The RF Cap demonstrated significantly higher signal-to-noise ratio (SNR) compared to a birdcage coil (4x at the center, 10-16x on the cortex).
- Concurrent TMS caused a 10-25% SNR loss in the stimulated region.
- The RF Cap allows TMS administration at most scalp targets with easy setup and neuronavigation compatibility.
Conclusions:
- The RF Cap provides a user-friendly and comfortable solution for concurrent TMS/fMRI acquisitions.
- This innovative hardware has the potential to advance neuroscientific research and facilitate future clinical applications of TMS/fMRI.

