Title :
Functional Imaging of Spinal Cord Electrical Activity From Its Evoked Magnetic Field
Author :
Sato, Tomoya ; Adachi, Yoshiaki ; Tomori, Masaki ; Ishii, Senichi ; Kawabata, Shigenori ; Sekihara, Kensuke
Author_Institution :
Dept. of Syst. Design & Eng., Tokyo Metropolitan Univ., Tokyo, Japan
Abstract :
This paper investigates dynamic source imaging of the spinal cord electrophysiological activity from its evoked magnetic field by applying the spatial filter version of standardized low-resolution brain electromagnetic tomography (sLORETA). Our computer simulation shows that the sLORETA-based spatial filter can reconstruct the four current sources typically associated with the elicitation of the spinal cord evoked magnetic field (SCEF). The results from animal experiments show that significant changes in the latency and intensity of the reconstructed volume current arise near the location of the artificial incomplete conduction block. The results from the human SCEF show that the SCEF source imaging can visualize the dynamics of the volume currents and other nerve electrical activity propagating along the human spinal cord. These experimental results demonstrate the potential of SCEF source imaging as a future clinical tool for diagnosing cervical spinal cord disorders.
Keywords :
biomagnetism; biomedical imaging; brain; neurophysiology; spatial filters; tomography; cervical spinal cord disorders; electrical activity; evoked magnetic field; functional imaging; sLORETA; spatial filter; spinal cord evoked magnetic field; standardized low-resolution brain electromagnetic tomography; Animals; Computer simulation; Electromagnetic fields; Electrophysiology; Humans; Image reconstruction; Magnetic fields; Spatial filters; Spinal cord; Tomography; Biomagnetism; spatial filter; spinal cord conduction block; spinal cord evoked magnetic field (SCEF); standardized low-resolution brain electromagnetic tomography (sLORETA); Algorithms; Animals; Cervical Vertebrae; Computer Simulation; Electromagnetic Fields; Evoked Potentials; Humans; Image Processing, Computer-Assisted; Models, Biological; Rabbits; Spinal Cord; Tomography;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2025506