Transcranial Direct Current Stimulation Optimization – From Physics-Based Computer Simulations to High-Fidelity Head Phantom Fabrication and Measurements
暂无分享,去创建一个
Pengcheng Lv | R. Andy McKinley | Felipe Fregni | Leon Morales-Quezada | F. Fregni | R. McKinley | L. Morales-Quezada | Mirret M. El-Hagrassy | Beatriz Costa | Mirret M El-Hagrassy | B. Costa | Pengcheng Lv | R. Andy McKinley
[1] D. Bennett. NaCl doping and the conductivity of agar phantoms , 2011 .
[2] M. Bikson,et al. Computational Models of Transcranial Direct Current Stimulation , 2012, Clinical EEG and neuroscience.
[3] J J Riera,et al. Evaluation of inverse methods and head models for EEG source localization using a human skull phantom , 2001, Physics in medicine and biology.
[4] Abhishek Datta,et al. Validation of finite element model of transcranial electrical stimulation using scalp potentials: implications for clinical dose , 2013, Journal of neural engineering.
[5] M. Nitsche,et al. Safety of Transcranial Direct Current Stimulation: Evidence Based Update 2016 , 2016, Brain Stimulation.
[6] M. E. Spencer,et al. A Study of Dipole Localization Accuracy for MEG and EEG using a Human Skull Phantom , 1998, NeuroImage.
[7] Ursula van Rienen,et al. Impact of uncertain head tissue conductivity in the optimization of transcranial direct current stimulation for an auditory target , 2015, Journal of neural engineering.
[8] Chang-Hwan Im,et al. An image-guided transcranial direct current stimulation system: a pilot phantom study , 2013, Physiological measurement.
[9] Deniz Erdogmus,et al. Optimization of focality and direction in dense electrode array transcranial direct current stimulation (tDCS) , 2016, Journal of neural engineering.
[10] Alexander Opitz,et al. Spatiotemporal structure of intracranial electric fields induced by transcranial electric stimulation in humans and nonhuman primates , 2016, Scientific Reports.
[11] R. Bakay,et al. Postmortem study of deep brain stimulation of the anterior thalamus: case report. , 2008, Neurosurgery.
[12] A. Lozano,et al. Postmortem studies of deep brain stimulation for Parkinson’s disease: a systematic review of the literature , 2017, Cell and Tissue Research.
[13] G. Buzsáki,et al. Direct effects of transcranial electric stimulation on brain circuits in rats and humans , 2018, Nature Communications.
[14] Roberto Guerrieri,et al. A Four-Shell Diffusion Phantom of the Head for Electrical Impedance Tomography , 2012, IEEE Transactions on Biomedical Engineering.
[15] Sung Chan Jun,et al. Validation of Computational Studies for Electrical Brain Stimulation With Phantom Head Experiments , 2015, Brain Stimulation.
[16] D. Louis Collins,et al. A new improved version of the realistic digital brain phantom , 2006, NeuroImage.
[17] Satoshi Tanaka,et al. Inter-subject Variability in Electric Fields of Motor Cortical tDCS , 2015, Brain Stimulation.
[18] Paolo Cignoni,et al. MeshLab: an Open-Source Mesh Processing Tool , 2008, Eurographics Italian Chapter Conference.
[19] Akimasa Hirata,et al. Electric fields of motor and frontal tDCS in a standard brain space: A computer simulation study , 2016, NeuroImage.
[20] M. Bikson,et al. Computational modeling of transcranial direct current stimulation (tDCS) in obesity: Impact of head fat and dose guidelines☆ , 2013, NeuroImage: Clinical.
[21] Axel Thielscher,et al. On the importance of electrode parameters for shaping electric field patterns generated by tDCS , 2015, NeuroImage.
[22] R Andy McKinley,et al. Acceleration of image analyst training with transcranial direct current stimulation. , 2013, Behavioral neuroscience.
[23] J. Haueisen,et al. Head phantoms for electroencephalography and transcranial electric stimulation: a skull material study , 2018, Biomedizinische Technik. Biomedical engineering.
[24] L. Parra,et al. Measurements and models of electric fields in the in vivo human brain during transcranial electric stimulation , 2017, Brain Stimulation.
[25] G. J. Shaw,et al. Comparison of electrical conductivities of various brain phantom gels: Developing a 'Brain Gel Model' , 2012, Materials science & engineering. C, Materials for biological applications.