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Across neuroscience research, clinical diagnostics, and engineering applications in pain evaluation and treatment, there is a need for an objective measure of pain experience and detection when it occurs. This detector should be reliable in real-world settings using easily accessible, non-invasive data sources. We present a simple yet robust paradigm for decoding pain using neural and physiological...
To study the metabolic changes following amputation, we investigated the metabolite concentrations in the secondary somatosensory cortex and thalamus from twenty-three upper limb amputees and sixteen age-matched healthy controls using proton magnetic resonance spectroscopy (MRS). The ratios of major metabolites to the creatine (Cr) peak were quantified to indicate metabolite levels. Compared with...
Many real-time brain-machine interface (BMI) applications require quickest detection of abrupt changes in observed neural signals in an online manner. In the presence of multi-neuronal recordings, we propose both model-based and model-free approaches to detect the change in neuronal ensemble spiking activity. The model-based approach is motivated from state space modeling and recursive Bayesian filtering...
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