Predicting the phase distribution during multi-channel transcranial alternating current stimulation in silico and in vivo.

Autor: Lee S; Department of Biomedical Engineering, University of Minnesota, MN, USA. Electronic address: lee03936@umn.edu., Shirinpour S; Department of Biomedical Engineering, University of Minnesota, MN, USA., Alekseichuk I; Department of Biomedical Engineering, University of Minnesota, MN, USA., Perera N; Department of Biomedical Engineering, University of Minnesota, MN, USA., Linn G; Translational Neuroscience Lab Division, Center for Biomedical Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry NYU Grossman School of Medicine, New York City, NY, USA., Schroeder CE; Translational Neuroscience Lab Division, Center for Biomedical Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Departments of Neurological Surgery and Psychiatry, Columbia University College of Physicians and Surgeons, NY, USA., Falchier AY; Translational Neuroscience Lab Division, Center for Biomedical Imaging and Neuromodulation, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; Department of Psychiatry NYU Grossman School of Medicine, New York City, NY, USA., Opitz A; Department of Biomedical Engineering, University of Minnesota, MN, USA. Electronic address: aopitz@umn.edu.
Jazyk: angličtina
Zdroj: Computers in biology and medicine [Comput Biol Med] 2023 Nov; Vol. 166, pp. 107516. Date of Electronic Publication: 2023 Sep 20.
DOI: 10.1016/j.compbiomed.2023.107516
Abstrakt: Background: Transcranial alternating current stimulation (tACS) is a widely used noninvasive brain stimulation (NIBS) technique to affect neural activity. TACS experiments have been coupled with computational simulations to predict the electromagnetic fields within the brain. However, existing simulations are focused on the magnitude of the field. As the possibility of inducing the phase gradient in the brain using multiple tACS electrodes arises, a simulation framework is necessary to investigate and predict the phase gradient of electric fields during multi-channel tACS.
Objective: Here, we develop such a framework for phasor simulation using phasor algebra and evaluate its accuracy using in vivo recordings in monkeys.
Methods: We extract the phase and amplitude of electric fields from intracranial recordings in two monkeys during multi-channel tACS and compare them to those calculated by phasor analysis using finite element models.
Results: Our findings demonstrate that simulated phases correspond well to measured phases (r = 0.9). Further, we systematically evaluated the impact of accurate electrode placement on modeling and data agreement. Finally, our framework can predict the amplitude distribution in measurements given calibrated tissues' conductivity.
Conclusions: Our validated general framework for simulating multi-phase, multi-electrode tACS provides a streamlined tool for principled planning of multi-channel tACS experiments.
Competing Interests: Declaration of competing interest The authors declare that they have no competing interests.
(Copyright © 2023 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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