Titlebook: Brain and Human Body Modeling 2020; Computational Human Sergey N. Makarov,Gregory M. Noetscher,Aapo Nummen Book‘‘‘‘‘‘‘‘ 2021 The Editor(s)

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Insights from Computational Modelling: Selective Stimulation of Retinal Ganglion Cellstive or differential activation of specific retinal ganglion cells (RGCs). Recent retinal studies have demonstrated the ability to differentially recruit ON and OFF RGCs – the two major information pathways of the retina – using high-frequency electrical stimulation (HFS). However, there remain many

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Functional Requirements of Small- and Large-Scale Neural Circuitry Connectome Modelsanalysis and inter-species connectivity comparisons, and computational power to simulate neural circuitry. The interest in connectomes is reflected in the exponentially rising number of articles on the subject. What are our goals? What are the “functional requirements” of connectome modelers? We giv

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https://doi.org/10.1007/978-3-319-18305-3eatment of glioblastoma and malignant pleural mesothelioma. Recent studies have shown a correlation between TTFields doses delivered to the tumor bed and patient survival. These findings suggest that patient outcome could be significantly improved with rigorous treatment planning, in which numerical

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Juan Wang,Issam El Naqa,Yongyi Yanglity to treat cancer, along with surgery, chemotherapy, and radiation [1]. TTFields are now in clinical trials for a variety of cancer types. While efficacy has been proven in the clinic, the higher efficacy is demonstrated in vitro and in animal models, which indicates much greater clinical efficac

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Machine Learning in Radiation Oncologya. Although the frequency used is not as high as in hyperthermia, temperature increases due to the Joule effect might be meaningful given the necessary time that these fields should be applied for. Post hoc analysis of the EF-11 clinical trial showed higher median overall survival in patients whose

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Juan Wang,Issam El Naqa,Yongyi Yangrain techniques such as transcranial direct current stimulation (tDCS). Such models predict a poor spatial resolution of tDCS, showing a non-focal EF distribution with similar or even higher magnitude values far from the presumed targeted regions, thus bringing into doubt the classical criteria for

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Dimensionality Reduction and Clustering,e acquired or difficult to acquire from experimental or imaging studies. However, most of these models are purely volume conductor models that overlooked the electric excitability of axons in the white matter of the brain. We hereby combined a finite element (FE) model of electroconvulsive therapy (