Aditya Kumar Kasinadhuni1, Aprinda Indahlastari2, Kevin Castellano3, Christopher Saar4, Casey Weigel4, Bakir Mousa4, Michael Schär5, Munish Chauhan2, Thomas Harold Mareci6, and Rosalind Jane Sadleir2
1Biomedical Engineering, University of Florida, Gainesville, FL, United States, 2School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States, 3University of Florida, Gainesville, FL, United States, 4Arizona State University, Tempe, AZ, United States, 5Radiology, Johns Hopkins University, Baltimore, MD, United States, 6Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States
Synopsis
Characterizing
current density distributions in the brain of healthy volunteers can provide important
information to guide electrical stimulation therapies. Current-induced magnetic
fields, produced as a result of electrical stimulation, can be mapped from
phase changes in the MR imaging then current density can be computed using
Maxwell’s equations. In this study, we present the first current density
distribution induced magnetic field maps in healthy volunteers resulting from
electrical stimulation using low frequency (10 Hz) transcranial alternating
current simulation (tACS).
Introduction
Research
on neuromodulation techniques, like transcranial electrical stimulation, is focused
on understanding the mechanisms by which these techniques contribute to the
improvement of attention, memory and other cognitive functions1. However, the exact brain regions affected by
the injected current is unclear. In this study, we successfully reconstructed the
first maps of current density distribution in human brains following tACS.
Experimentally measured current-density induced, magnetic field maps and
calculated current distributions from four healthy volunteers were compared with
simulated current density induced magnetic field maps and current distributions
produced using subject specific computational models.Methods
Participants: Healthy volunteers (n = 4, ages 18-30 years) were
recruited and consented, did not have any history of seizures, were predominantly
right handed, and were devoid of metallic implants. Stimulation: Alternating rectangular current pulses were applied with
amplitude of 1.5 mA, duration of 32 ms, a 18 ms delay (100 ms period,
effectively 10 Hz) at a duty cycle of 64%. The stimulation was delivered using
two sets of electrode pairs placed at T3-T4 and Fpz-Oz locations following the
10-20 system of electrode placement. A battery powered constant current
stimulator (NeuroConn DCMC - MR) was modified to produce current pulses in
synchronization with MR excitation pulses from the MRI scanner. Imaging: Data acquisition was performed
using a 32 channel head coil in a 3 T Philips Achieva System at the McKnight
Brain Institute, University of Florida. High
resolution T1 data was also acquired, registered to MREIT data, and
segmented by tissue types. MREIT data were collected using a 2D spoiled
multiple gradient echo sequence at three contiguous axial locations spanning 15 mm, centered on the
electrodes. The entire k-space
(100 x 100 points) was acquired for one slice before moving on to the next
slice location. For
each
k-space phase-encode step, ten
echoes were collected during
the 32 ms current injection interval within a TR of 50 ms (Figure 1) then
repeated twenty-four times. To overcome main field drift effects, current
polarity was alternated every
TR so that 12
positive and 12 negative current encoded datasets were collected for each phase encode step.
The entire scan,
with
data acquisition of
the
three slice locations,
was averaged twice to improve SNR. Raw data was exported and processed offline
with software developed in-house
to generate magnetic field maps. A
no-current MREIT dataset was
also collected
to estimate T2*
and optimize the current-induced magnetic field calculations2. Current
density distributions were computed from the optimized magnetic field maps
using a projected current density
approach3. Subject specific computational models were
created from the segmented T1 data using COMSOL 5.1, against which
the imaging data were compared.Results
Figure
2 shows the 3D computational model built from
high resolution T1 data along with the magnitude MREIT data and
computed magnetic field maps for the center slice of one subject. Figure 3 shows the measured and simulated projected
current density maps for both stimulation directions and the measured current
density maps overlaid on the T1 data for the same subject. Similar
results were obtained for all four subjects. Phosphene perceptions were
consistent with those reported in tACS literature4 and no adverse events were reported by any
subjectDiscussion
The
magnetic field maps derived from the measured phase images showed good agreement
with simulated data, where the induced magnetic field was perpendicular to the direction
of injected current flow. Also the calculated current density maps were
consistent with simulated data. The quality of derived magnetic field maps can
be improved by more signal averaging possibly with faster parallel imaging
techniques. Effect of blood flow from large arteries on reconstructed current
densities is under study.Conclusion
This is the first reported measurement of current density
distribution using tACS in the human brain. From these measurements, an
understanding of the underlying brain regions affected by injected currents can
be obtained and modeling techniques can be validated to guide treatment
strategies.Acknowledgements
This
work was funded by the grant NIH R21 NS081646. In addition, a portion of this
work was performed in the Advanced MRI/S (AMRIS) Facility at the McKnight Brain
Institute of the University of Florida, which is part of the National High
Magnetic Field Laboratory (supported by National Science Foundation Cooperative
Agreement DMR-1157490, the State of Florida, and the U.S. Department of
Energy).References
1. Krause
V, Meier A, Dinkelbach L, Pollok B. Beta Band Transcranial Alternating (tACS)
and Direct Current Stimulation (tDCS) Applied After Initial Learning Facilitate
Retrieval of a Motor Sequence. Front Behav Neurosci 2016;10:4.
2. Oh
TI, Jeong WC, Kim JE, Sajib SZ, Kim HJ, Kwon OI, Woo EJ. Noise analysis in fast
magnetic resonance electrical impedance tomography (MREIT) based on spoiled
multi gradient echo (SPMGE) pulse sequence. Phys Med Biol
2014;59(16):4723-4738.
3. Park
C, Lee BI, Kwon OI. Analysis of recoverable current from one component of
magnetic flux density in MREIT and MRCDI. Phys Med Biol 2007;52(11):3001-3013.
4. Paulus
W. On the difficulties of separating retinal from cortical origins of
phosphenes when using transcranial alternating current stimulation (tACS). Clin
Neurophysiol. Volume 121. Netherlands; 2010. p 987-991.