Investigating neural activity is critical to advancing neuroscience and informing clinically-relevant neuromodulation, but it is often burdened by the presence of recording artifacts resulting from electrical stimulation. We developed and evaluated a generalizable method for removing the electrical artifacts elicited by various neurostimulation waveforms. This investigation of a novel variety of stimulation waveforms was facilitated by obtaining and labelling the neural activity of 15 loose cell-attached patch clamp recordings of retinal ganglion cells. These labelled recordings provided 5785 peristimulus spikes for which the pipeline exhibited a true positive rate of 88.7%, false discovery rate of 2.9%, and d-prime of 3.11, far superseding interpolation (of which bore a d-prime of 0.32). We additionally utilized synthesized spike trains to demonstrate recovery of low-amplitude stimulus-embedded spikes with negligible waveform distortion (low root mean square error). This technique could better enable a rich variety of neurostimulation investigations, and aid in the development of clinical neurostimulation strategies.
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http://dx.doi.org/10.1109/EMBC53108.2024.10781938 | DOI Listing |
Neuroscientist
March 2025
Cortical Labs, Melbourne, Australia.
Harnessing intelligence from brain cells in vitro requires a multidisciplinary approach integrating wetware, hardware, and software. Wetware comprises the in vitro brain cells themselves, where differentiation from induced pluripotent stem cells offers ethical scalability; hardware typically involves a life support system and a setup to record the activity from and deliver stimulation to the brain cells; and software is required to control the hardware and process the signals coming from and going to the brain cells. This review provides a broad summary of the foundational technologies underpinning these components, along with outlining the importance of technology integration.
View Article and Find Full Text PDFR Soc Open Sci
March 2025
School of Electronics and Computer Science, University of Southampton, Southampton, UK.
Medical image classification plays an important role in medical imaging. In this work, we present a novel approach to enhance deep learning models in medical image classification by incorporating clinical variables without overwhelming the information. Unlike most existing deep neural network models that only consider single-pixel information, our method captures a more comprehensive view.
View Article and Find Full Text PDFBrain Commun
February 2025
Neuroscience, Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter EX2 4TH, UK.
Alzheimer's disease and other cognitive impairments are a growing problem in the healthcare world with the ageing population. There are currently no effective treatments available; however, it has been suggested that targeting neuroinflammation may be a successful approach in slowing the progression of neurodegeneration. Reducing the destructive hyperinflammatory pathology to maintain homeostasis in neural tissue is a promising option to consider.
View Article and Find Full Text PDFCureus
February 2025
Pediatric Anesthesiology, Hospital Infantil de México, Federico Gómez, Mexico City, MEX.
Giant encephalocele is a rare pediatric surgical entity that poses unique challenges. Few cases have been reported in the medical literature, and its cause is unknown. Factors that increase the likelihood of developing this pathology are radiation, infections, hyperinsulinemia, vitamin deficiencies related to neural tube closure defects, maternal smoking, alcohol, and anticonvulsants.
View Article and Find Full Text PDFFront Neurol
February 2025
Department of Rehabilitation Medicine, Tianjin Medical University General Hospital, Tianjin, China.
Objective: To explore the recovery of upper limb motor function and the changes in cortical functional connectivity in patients with early subcortical small infarcts accompanied by severe upper limb motor dysfunction (PESSUM) after intermittent theta burst stimulation (iTBS) via functional near-infrared spectroscopy (fNIRS) and to explore the related mechanisms.
Methods: We enrolled 56 subcortical ischemic stroke patients with FMA-UE ≤28 and randomly assigned them to receive either genuine (TG, = 29) or sham (CG, = 23) iTBS plus standard rehabilitation over 8 days. fNIRS was used to monitor cerebral HbO, HbD, and HbT concentrations, and RSFC changes were analyzed.
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