Conductivity Tensor Mapping of the Human Brain Using Diffusion Tensor MRI

• Published in: Proceedings of the National Academy of Sciences - PNAS 2001-09, Vol.98 (20), p.11697-11701
• Main Authors: Tuch, David S., Wedeen, Van J., Dale, Anders M., George, John S., Belliveau, John W.
• Format: Article
• Language: English
• Subjects: Anatomy; Biological Sciences; Biology; Body tissues; Brain; Brain - anatomy & histology; Brain - physiology; Brain Mapping - instrumentation; Brain Mapping - methods; Conductivity; Diffusion; Eigenvalues; Electric current; Electrical resistivity; Electricity; Electroencephalography; Electromagnetic fields; Humans; Imaging; Magnetic fields; Magnetic Resonance Imaging; Magnetism; Magnetoencephalography; Models, Neurological; Neurology; Tensors; Tissues
• ISSN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.171473898

Knowledge of the electrical conductivity properties of excitable tissues is essential for relating the electromagnetic fields generated by the tissue to the underlying electrophysiological currents. Efforts to characterize these endogenous currents from measurements of the associated electromagnetic fields would significantly benefit from the ability to measure the electrical conductivity properties of the tissue noninvasively. Here, using an effective medium approach, we show how the electrical conductivity tensor of tissue can be quantitatively inferred from the water self-diffusion tensor as measured by diffusion tensor magnetic resonance imaging. The effective medium model indicates a strong linear relationship between the conductivity and diffusion tensor eigenvalues (respectively, σ and d) in agreement with theoretical bounds and experimental measurements presented here (σ/d 0.844 ± 0.0545 S·s/mm3, r2= 0.945). The extension to other biological transport phenomena is also discussed.