465 research outputs found

    Future developments in brain-machine interface research

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    Neuroprosthetic devices based on brain-machine interface technology hold promise for the restoration of body mobility in patients suffering from devastating motor deficits caused by brain injury, neurologic diseases and limb loss. During the last decade, considerable progress has been achieved in this multidisciplinary research, mainly in the brain-machine interface that enacts upper-limb functionality. However, a considerable number of problems need to be resolved before fully functional limb neuroprostheses can be built. To move towards developing neuroprosthetic devices for humans, brain-machine interface research has to address a number of issues related to improving the quality of neuronal recordings, achieving stable, long-term performance, and extending the brain-machine interface approach to a broad range of motor and sensory functions. Here, we review the future steps that are part of the strategic plan of the Duke University Center for Neuroengineering, and its partners, the Brazilian National Institute of Brain-Machine Interfaces and the École Polytechnique Fédérale de Lausanne (EPFL) Center for Neuroprosthetics, to bring this new technology to clinical fruition

    Setting a research agenda to inform intensive comprehensive aphasia programs

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    Research into intensive comprehensive aphasia programs (ICAPs) has yet to show that this service delivery model is efficacious, effective, has cost utility, or can be broadly implemented. This article describes a phased research approach to the study of ICAPs and sets out a research agenda that considers not only the specific issues surrounding ICAPs, but also the phase of the research. Current ICAP research is in the early phases, with dosing and outcome measurement as prime considerations as well as refinement of the best treatment protocol. Later phases of ICAP research are outlined, and the need for larger scale collaborative funded research is recognized. The need for more rapid translation into practice is also acknowledged, and the use of hybrid models of phased research is encouraged within the ICAP research agenda
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