Polymer thick film technology for improved simultaneous dEEG/MRI recording: Safety and MRI data quality. Issue 2 (15th February 2016)

• Record Type: Journal Article
• Authors: Poulsen, Catherine; Wakeman, Daniel G.; Atefi, Seyed Reza; Luu, Phan; Konyn, Amy; Bonmassar, Giorgio
• Is Part Of: Magnetic resonance in medicine. Volume 77:Issue 2(2017)
• Page Start: 895
• Page End: 903
• Publication Date: 2016-02-15
• Subjects: fMRI/BOLD -- eccentricity maps -- anthropomorphic head phantom -- ISO10974 -- temperature measurements -- B1 maps; Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.26116
• Languages: English
• ISSNs: 0740-3194

Abstract

Abstract : Purpose: To develop a 256‐channel dense‐array electroencephalography (dEEG) sensor net (the Ink‐Net) using high‐resistance polymer thick film (PTF) technology to improve safety and data quality during simultaneous dEEG/MRI. Methods: Heating safety was assessed with temperature measurements in an anthropomorphic head phantom during a 30‐min, induced‐heating scan at 7T. MRI quality assessment used B1 field mapping and functional MRI (fMRI) retinotopic scans in three humans at 3T. Performance of the 256‐channel PTF Ink‐Net was compared with a 256‐channel MR‐conditional copper‐wired electroencephalography (EEG) net and to scans with no sensor net. A visual evoked potential paradigm assessed EEG quality within and outside the 3T scanner. Results: Phantom temperature measurements revealed nonsignificant heating (ISO 10974) in the presence of either EEG net. In human B1 field and fMRI scans, the Ink‐Net showed greatly reduced cross‐modal artifact and less signal degradation than the copper‐wired net, and comparable quality to MRI without sensor net. Cross‐modal ballistocardiogram artifact in the EEG was comparable for both nets. Conclusion: High‐resistance PTF technology can be effectively implemented in a 256‐channel dEEG sensor net for MR conditional use at 7T and with significantly improved structural and fMRI data quality as assessed at 3T. Magn Reson Med 77:895–903, 2017. © 2016 International Society for Magnetic Resonance in Medicine