Planning system for the optimization of electric field delivery using implanted electrodes for brain tumor control

Iredale, Erin; Voigt, Brynn; Rankin, Adam; Kim, Kyungho W; Chen, Jeff Z.; Schmid, Susanne; Hebb, Matthew O.; Peters, Terry M.; Wong, Eugene

doi:10.1002/mp.15825

Cited by 4 publications

(9 citation statements)

References 90 publications

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“…Recent research confirms the strentrode can be implanted in people to record brain signals over an extended period of time. Strentrode-based BCI had a similar rate of information transmission as Iredale et al' [21] seminal work using implanted electrodes. Access to neural data may also be obtained wirelessly by means of an entrenched ECoG plotter dubbed Wireless Implantable Multi-channel Acquisition system for Generic Interface with Neurons (WIMAGINE).…”

Section: State-of-the-art For Neurosensorsmentioning

confidence: 74%

Brain Computer Interface System, Performance, Challenges and Applications

Zhu

2023

JCNS

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Using electrodes placed on the scalp, a Brain-Computer Interface (BCI) may read electric activity in the brain and interpret it into orders to be sent to output devices. Artificial neuromuscular output channels are not used in BCIs. People with neuromuscular illnesses such as cerebral palsy, amyotrophic lateral sclerosis, spinal cord or stroke might greatly benefit from BCI since it can help them regain or maintain the abilities they once had. Standardized technological platforms have been developed as a result of massive multinational research efforts; and these platforms have the potential to be utilized to tackle intractable issues such as feature selection and segmentation, as well as the brain's incredibly complex dynamics. Researchers working on BCIs face additional challenges from the impact of time-variable psycho-neurophysiological fluctuations on brain signals, which must be overcome before the technology can be used in a plug-and-play fashion in daily life. This article provides a concise summary of the decades of research and development that have gone into BCIs so far, as well as a discussion of the most pressing issues yet to be solved.

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Section: State-of-the-art For Neurosensorsmentioning

confidence: 74%

Brain Computer Interface System, Performance, Challenges and Applications

Zhu

2023

JCNS

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“…Electric fields of intermediate frequency (200 kHz) produced from low voltage (2 V) sources impede the growth of high grade gliomas, including GBM, while non-neoplastic neurons and brain tissue remains relatively unaffected (Di Sebastiano et al 2018, Deweyert et al 2019). We and others have demonstrated computer simulations to be useful tools to analyze and plan electric field distributions in realistic preclinical and clinical scenarios (Miranda et al 2014, Korshoej et al 2016, Wenger et al 2018, Iredale et al 2020, 2022. Electric field simulations of single electrode in vitro IMT models suggest that while the coverage is sufficient for preclinical models, improvements in the extent of such coverage would be required to advance to human scale tumors (Di Sebastiano et al 2018, Deweyert et al 2019, Iredale et al 2020, 2022.…”

Section: Introductionmentioning

confidence: 99%

“…We and others have demonstrated computer simulations to be useful tools to analyze and plan electric field distributions in realistic preclinical and clinical scenarios (Miranda et al 2014, Korshoej et al 2016, Wenger et al 2018, Iredale et al 2020, 2022. Electric field simulations of single electrode in vitro IMT models suggest that while the coverage is sufficient for preclinical models, improvements in the extent of such coverage would be required to advance to human scale tumors (Di Sebastiano et al 2018, Deweyert et al 2019, Iredale et al 2020, 2022. This has been suggested through the use of multiple electrodes programmed with different relative phase shifts of the input voltage waveforms, which has been shown to theoretically increase tumor coverage and homogeneity (Iredale et al 2020(Iredale et al , 2022.…”

Section: Introductionmentioning

confidence: 99%

“…Previous IMT computer simulation, optimization and treatment planning studies (Iredale et al 2020(Iredale et al , 2022) have highlighted the theoretical benefit of using spatiotemporally dynamic (rotating) electric fields to increase electric field coverage over time. The optimization of relative phase shifts of input waveforms results in electric fields that rotate during the waveform period.…”

Section: Introductionmentioning

confidence: 99%

“…These fields are scalable to cover human-size tumors, using low voltage waveforms (2-4 V) that produce sufficient field magnitude (∼1 V cm −1 ) to suppress human GBM cell viability (Hottinger et al 2016, Swanson et al 2016, Stupp et al 2017, Ballo et al 2019. We have shown that a previously established IMT optimization algorithm (Iredale et al 2020) and treatment planning system (Iredale et al 2022) are applicable to in vitro, in vivo, and human tumor scenarios with phase shift, voltage and electrode location optimization parameters. Rotating fields provide increased field coverage and homogeneity compared to non-rotating fields, partly explaining why rotating fields are more effective.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spatiotemporally dynamic electric fields for brain cancer treatment: an in vitro investigation

Iredale

Elsaleh

et al. 2023

Phys. Med. Biol.

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Objective: The treatment of glioblastoma (GBM) using low intensity electric fields (~1 V/cm) is being investigated using multiple implanted bioelectrodes, which was termed intratumoral modulation therapy (IMT). Previous IMT studies theoretically optimized treatment parameters to maximize coverage with rotating fields, which required experimental investigation. In this study, we employed computer simulations to generate spatiotemporally dynamic electric fields, designed and purpose-built an IMT device for in vitro experiments, and evaluated the human GBM cellular responses to these fields. Approach: After measuring the electrical conductivity of the in vitro culturing medium, we designed experiments to evaluate the efficacy of various spatiotemporally dynamic fields: (a) different rotating field magnitudes, (b) rotating vs. non-rotating fields, (c) 200 kHz vs. 10 kHz stimulation, and (d) constructive vs. destructive interference. A custom printed circuit board (PCB) was fabricated to enable four-electrode IMT in a 24-well plate. Patient-derived GBM cells were treated and analyzed for viability using bioluminescence imaging. Main results: The optimal PCB design had electrodes placed 6.3 mm from the center. Spatiotemporally dynamic IMT fields at magnitudes of 1, 1.5, and 2 V/cm reduced GBM cell viability to 58%, 37% and 2% of sham controls respectively. Rotating vs. non-rotating, and 200 kHz vs. 10 kHz fields showed no statistical difference. The rotating configuration yielded a significant reduction (p<0.01) in cell viability (47±4%) compared to the voltage matched (99±2%) and power matched (66±3%) destructive interference cases.Significance: We found the most important factors in GBM cell susceptibility to IMT are electric field strength and homogeneity. Spatiotemporally dynamic electric fields have been evaluated in this study, where improvements to electric field coverage with lower power consumption and minimal field cancellations has been demonstrated. The impact of this optimized paradigm on cell susceptibility justifies its future use in preclinical and clinical trial investigations.

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Personalized optimization strategy for electrode array layout in TTFields of glioblastoma

Wang,

Chen,

Xiao

et al. 2024

Numer Methods Biomed Eng

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Tumor treating fields (TTFields) is a novel therapeutic approach for the treatment of glioblastoma. The electric field intensity is a critical factor in the therapeutic efficacy of TTFields, as stronger electric field can more effectively impede the proliferation and survival of tumor cells. In this study, we aimed to improve the therapeutic effectiveness of TTFields by optimizing the position of electrode arrays, resulting in an increased electric field intensity at the tumor. Three representative head models of real glioblastoma patients were used as the research subjects in this study. The improved subtraction‐average‐based optimization (ISABO) algorithm based on circle chaos mapping, opposition‐based learning and golden sine strategy, was employed to optimize the positions of the four sets of electrode arrays on the scalp. The electrode positions are dynamically adjusted through iterative search to maximize the electric field intensity at the tumor. The experimental results indicate that, in comparison to the conventional layout, the positions of the electrode arrays obtained by the ISABO algorithm can achieve average electric field intensity of 1.7887, 2.0058, and 1.3497 V/cm at the tumor of three glioblastoma patients, which are 23.6%, 29.4%, and 8.5% higher than the conventional layout, respectively. This study demonstrates that optimizing the location of the TTFields electrode array using the ISABO algorithm can effectively enhance the electric field intensity and treatment coverage in the tumor area, offering a more effective approach for personalized TTFields treatment.

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Planning system for the optimization of electric field delivery using implanted electrodes for brain tumor control

Cited by 4 publications

References 90 publications

Brain Computer Interface System, Performance, Challenges and Applications

Brain Computer Interface System, Performance, Challenges and Applications

Spatiotemporally dynamic electric fields for brain cancer treatment: an in vitro investigation

Personalized optimization strategy for electrode array layout in TTFields of glioblastoma

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