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Simultaneous Eye Tracking and Single-Neuron Recordings in Human Epilepsy Patients
Published on: June 17, 2019
An Expandable Brain-Machine Interface Enabled by Origami Materials and Structures for Tracking Epileptic Traveling
Tiancheng Sheng1, Jingwei Li1, Lingyi Zheng1
1School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China.
Researchers developed a novel brain-machine interface (BMI) using expandable origami electrodes to track neural activity across multiple brain regions. This new approach minimizes skull injury and improves access to deep brain areas, offering new insights into brain function.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Medical Devices
Background:
- Tracking neural activity across multiple brain regions is challenging due to skull injuries from electrode implantation and limited probe accessibility.
- Conventional electrocorticography (ECoG) grids and depth probes have limitations in coverage and spatial reach.
Purpose of the Study:
- To propose a novel multiregion Brain-machine Interface (BMI) that overcomes limitations of current neural tracking technologies.
- To enable large-area cortical coverage and access to multiple deep brain regions with minimal invasiveness.
Main Methods:
- Development of an expandable, bio-inspired origami ECoG electrode for large cortical area coverage.
- Design of an expandable origami depth probe for accessing multiple deep brain regions beyond a single axis.
- Utilizing the proposed BMI in rat models to observe neural activity during focal seizures.
Main Results:
- The expandable origami ECoG electrode successfully covered cortical areas larger than the cranial window.
- The expandable origami depth probe reached multiple deep brain regions.
- In rat models, focal seizures showed cortical multiband epileptiform activities manifesting as expanding traveling waves from a source.
Conclusions:
- The proposed origami-based BMI offers a less invasive and more effective method for multiregion neural activity tracking.
- This technology provides new insights into the spatiotemporal dynamics of brain activity, such as seizure propagation.
- The bio-inspired origami approach represents a significant advancement in brain-machine interface technology.
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