Aditya Kumar Kasinadhuni1, Munish Chauhan2, Christopher Anderson1, Michael Schär3, Aprinda Indahlastari2, Paul Carney1, Rosalind Sadleir2, and Thomas Mareci1
1University of Florida, Gainesville, FL, United States, 2Arizona State University, Tempe, AZ, United States, 3Johns Hopkins University, Baltimore, MD, United States
Synopsis
Magnetic resonance electrical impedance tomography
(MREIT) relies on phase changes resulting from electric-current-induced magnetic
fields in the direction of static magnetic field of an MRI scanner. Therefore
MREIT can be employed to estimate conductivity/current density within the
object being imaged. Characterizing current density in the brain is vital to
improving our understanding of neuromodulation techniques like transcranial direct
current stimulation (tDCS). In this study, to our knowledge, we performed the
first MREIT brain scans of healthy human volunteers to localize the current-induced
magnetic field generated by tDCS-like currents. These measurements allow
estimation of current density in the human brain.Introduction
Transcranial Direct Current Stimulation is a
neuromodulation technique that has shown to enhance cognition, while
simultaneously gaining importance as an augmentative therapy
(1,2). However, the underlying
mechanism of action of tDCS remains elusive, which makes numerous positive
benefits difficult to interpret. Therefore mapping the current density in the
brain will provide significant information about the path of electric current
and the brain regions stimulated by the current, which will in turn aid in
understanding the technique and its consequences. In this study, we acquired the first human
brain MREIT data and successfully quantified the current-induced magnetic field
which allows the calculation of the actual current density inside the head.
Methods
Imaging:
MRI of a healthy participant was performed using a 32 channel head coil in a 3T
Philips magnet at the McKnight Brain Institute, University of Florida. A high
resolution T1 weighted 3D acquisition with a matrix size of 240x240x160,1 mm isotropic resolution and high angular resolution diffusion imaging (HARDI) data with b values of 100 (6 directions)
and 1000 (64 directions) at a matrix size of 112x112x70 with 2 mm isotropic resolution, were collected. The low b-value acquisition was
repeated with opposite phase encoding to correct for susceptibility distortions
(3). MREIT scans
were acquired with a spoiled multiple-gradient-echo pulse sequence (see Figure
1) in a single slice acquisition with 10 echoes (TE1 = 6 ms, ESP = 3 ms). 10
slices were acquired with a thickness of 5 mm covering a total of 50 mm with no
gap between the slices. A flip angle of 35° was used in conjunction with a TR
of 50 ms and 4 averages were collected. The scan was repeated 3 times to
facilitate good SNR by averaging. The total scan time for 2 current injections
in one direction was approximately 20 minutes. Raw data was exported and
processed offline with software developed in house to generate the magnetic
field maps produced by the current injection.
Stimulation: Positive and
negative current pulses with amplitude of 1.5 mA at a duty cycle of 63% were injected
into the participant using two sets of electrode pairs placed at F3 & Right
Supraorbital and F4 – Left Supraorbital. The stimulation was performed with a
constant current source (NeuroConn DCMC-MR) modified to generate short current
pulses in synchronization with the RF pulses from the MRI scanner (see Figure 2).
Results
The high resolution T1 acquisition, its corresponding diffusion imaging slice and the MREIT scan for the same slice are shown in Figure 3. Figure 4 shows
the Bz map computed from the MREIT scans pertaining to same region
and a line plot showing the actual field values within the brain. Since the
first echo in the acquisition contains high SNR while the last has greatest
sensitivity to the current induced magnetic field, the individual echoes from the
multi echo data can be combined as described in the paper by Atul et al
(4) to produce an optimal B
z map.
The optimal field map so computed from the first five echoes is shown in Figure5.
Discussion
MREIT data with positive and negative current
injection was acquired with multiple averages at 1.5 mA (2 mA has been shown to
be safe to use in tDCS literature
(5) which could
improve the quality of the Bz maps). By incorporating a no-current
injection acquisition, we could compute a T2* map which we can use to generate
a more accurate optimal Bz map as shown in
(6). Also acquiring
averages as repeated single-slice image volumes, as opposed to averaging over slices,
would provide robustness to motion and enable a safer approach to data
collection. Generation of a computational model for calculation of injected
current density inside the head is in progress.
Conclusion
Successful imaging and determination of current
induced magnetic field inside the human head was performed. Repeated
measurements in more volunteers will be carried out to ensure reproducible
results. The magnetic field information will be used to compute the current
density values and compared with results from computational modeling.
Acknowledgements
This work was funded by the grant NIH-R21
NS081646-01A1 (title: Invivo imaging of therapeutic electric current flow). We would also like to thank William
Triplett for his help with image reconstruction and Dr. Luis Colon Perez for
his assistance in acquiring diffusion imaging data.References
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