Assessing MR-compatibility of somatosensory stimulation devices: A systematic review on testing methodologies

• Published in: Frontiers in neuroscience 2023-01, Vol.17, p.1071749-1071749
• Main Authors: Travassos, Carolina, Sayal, Alexandre, Direito, Bruno, Pereira, João, Sousa, Teresa, Castelo-Branco, Miguel
• Format: Article
• Language: English
• Subjects: compatibility; functional MRI (fMRI); magnetic resonance imaging (MRI); MR-compatible; Neuroscience; safety; somatosensory stimulation devices
• ISSN: 1662-4548; 1662-453X; 1662-453X
• DOI: 10.3389/fnins.2023.1071749

Functional magnetic resonance imaging (fMRI) has been extensively used as a tool to map the brain processes related to somatosensory stimulation. This mapping includes the localization of task-related brain activation and the characterization of brain activity dynamics and neural circuitries related to the processing of somatosensory information. However, the magnetic resonance (MR) environment presents unique challenges regarding participant and equipment safety and compatibility. This study aims to systematically review and analyze the state-of-the-art methodologies to assess the safety and compatibility of somatosensory stimulation devices in the MR environment. A literature search, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement guidelines, was performed in PubMed, Scopus, and Web of Science to find original research on the development and testing of devices for somatosensory stimulation in the MR environment. Nineteen records that complied with the inclusion and eligibility criteria were considered. The findings are discussed in the context of the existing international standards available for the safety and compatibility assessment of devices intended to be used in the MR environment. In sum, the results provided evidence for a lack of uniformity in the applied testing methodologies, as well as an in-depth presentation of the testing methodologies and results. Lastly, we suggest an assessment methodology (safety, compatibility, performance, and user acceptability) that can be applied to devices intended to be used in the MR environment. https://www.crd.york.ac.uk/prospero/, identifier CRD42021257838.