Publications by authors named "Kishan Liyanage"

Article Synopsis
  • - Brain-computer interfaces (BCIs) show promise in helping individuals with motor impairments regain their independence, but there is limited understanding of patient preferences in BCI design across various conditions.
  • - A systematic review of 28 studies involving 1,701 patients revealed that accuracy of BCI devices is the top priority for users, even though current systems often require extensive training that many patients find burdensome.
  • - Preferences for BCI features differ among specific conditions, such as those with amyotrophic lateral sclerosis emphasizing communication and spinal cord injury patients focusing on limb control and bodily functions; simplifying usability is crucial for broader acceptance.
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The aim of this work was to assess vascular remodeling after the placement of an endovascular neural interface (ENI) in the superior sagittal sinus (SSS) of sheep. We also assessed the efficacy of neural recording using an ENI.The study used histological analysis to assess the composition of the foreign body response.

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OBJECTIVE Neural interface technology may enable the development of novel therapies to treat neurological conditions, including motor prostheses for spinal cord injury. Intracranial neural interfaces currently require a craniotomy to achieve implantation and may result in chronic tissue inflammation. Novel approaches are required that achieve less invasive implantation methods while maintaining high spatial resolution.

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Segmentation is the process of partitioning an image into subdivisions and can be applied to medical images to isolate anatomical or pathological areas for further analysis. This process can be done manually or automated by the use of image processing computer packages. Atlas-based segmentation automates this process by the use of a pre-labelled template and a registration algorithm.

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High-fidelity intracranial electrode arrays for recording and stimulating brain activity have facilitated major advances in the treatment of neurological conditions over the past decade. Traditional arrays require direct implantation into the brain via open craniotomy, which can lead to inflammatory tissue responses, necessitating development of minimally invasive approaches that avoid brain trauma. Here we demonstrate the feasibility of chronically recording brain activity from within a vein using a passive stent-electrode recording array (stentrode).

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