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Abstract #3465

Potential of Functional MREIT to Detect Neural Activity Related Conductivity Changes: Numerical Simulation Studies

Hyung Joong Kim1, Zijun Meng1, Saurav ZK Sajib1, Woo Chul Jeong1, Young Tae Kim1, Rosalind J. Sadleir2, Eung Je Woo1

1Biomedical Engineering, Kyung Hee University, Yongin, Gyeonggi, Korea, Republic of; 2University of Florida, Gainesville, FL, United States


Imaging of cell membrane conductivity change may provide a truly direct method of locating neural activity compared to fMRI. The advantage of MREIT as a basis for direct neural activity imaging is that the imaged quantity, membrane conductivity, is a scalar and therefore is not subject to cancellation errors such as those inherent in neural current imaging techniques. In this work, we use a realistic head model to compute signal levels produced as a consequence of a predicted 5% conductivity change occurring within gray matter. We reconstructed conductivity images, showing that these small conductivity differences can be detected and imaged.