Publications by authors named "Borton D"

Measles (rubeola) cases and outbreaks have increased worldwide in 2023 and 2024. This article provides a comprehensive overview of the global resurgence of measles cases, highlighting the critical role of vaccination in preventing outbreaks. It also discusses the factors contributing to declining vaccination rates, the implications for public health, and immediate infection control measures in the event of suspected cases.

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Background: A reliable physiological biomarker for major depressive disorder is essential for developing and optimizing neuromodulatory treatment paradigms. In this study, we investigated a passive electrophysiologic biomarker that tracks changes in depressive symptom severity on the order of minutes to hours.

Methods: We analyzed brief recordings from intracranial electrodes implanted deep in the brain during a clinical trial of deep brain stimulation for treatment-resistant depression in 5 human participants (n = 3, n = 2).

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Background: Emerging adulthood is a transitory period in which disordered eating (DE) manifests; collecting data on the prevalence of DE among this population as well as demographic and behavioral correlates are important public health goals.

Methods: Data from an annual survey of undergraduate students at a large state university from 2019 to 2022 were analyzed, allowing researchers to compare prevalence and correlates before and after the onset of the COVID-19 pandemic using two brief screeners: the SCOFF and Eating Disorder Screener for Primary Care (ESP). We hypothesized that rates of DE would be greater after the onset of COVID-19 as compared to before.

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Background And Objectives: Recent advances in stereotactic and functional neurosurgery have brought forth the stereo-electroencephalography approach which allows deeper interrogation and characterization of the contributions of deep structures to neural and affective functioning. We argue that this approach can and should be brought to bear on the notoriously intractable issue of defining the pathophysiology of refractory psychiatric disorders and developing patient-specific optimized stimulation therapies.

Methods: We have developed a suite of methods for maximally leveraging the stereo-electroencephalography approach for an innovative application to understand affective disorders, with high translatability across the broader range of refractory neuropsychiatric conditions.

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Epidural electrical stimulation (EES) has shown promise as both a clinical therapy and research tool for studying nervous system function. However, available clinical EES paddles are limited to using a small number of contacts due to the burden of wires necessary to connect each contact to the therapeutic delivery device, limiting the treatment area or density of epidural electrode arrays. We aimed to eliminate this burden using advanced on-paddle electronics.

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Article Synopsis
  • Pain is a complex phenomenon involving intricate interactions between the brain and spinal cord, making it hard to study if only focusing on one area.
  • The study aimed to create and validate new tools for observing neural and vascular activity in the brain and spinal cord, focusing on innovative imaging hardware and bioluminescent imaging methods.
  • Results include the development of versatile 3D-printed implants for simultaneous imaging, successful testing of bioluminescent signals, and a new lightweight miniscope (BLmini) that enhances imaging capabilities.
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Locally acquired malaria is rare in the US; however, in 2023, cases were reported in Florida, Texas, Maryland, and Arkansas. Prompt diagnosis and treatment of malaria are essential to prevent severe malaria disease. This article details malaria and offers treatment guidelines.

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Prefrontal circuits in the human brain play an important role in cognitive and affective processing. Neuromodulation therapies delivered to certain key hubs within these circuits are being used with increasing frequency to treat a host of neuropsychiatric disorders. However, the detailed neurophysiological effects of stimulation to these hubs are largely unknown.

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Article Synopsis
  • Understanding pain involves complex interactions between the brain, spinal cord, and various bodily circuits, making it difficult to study if only one region is examined.
  • The research aims to create innovative tools for observing neural and vascular activity in both the brain and spinal cord, including new imaging hardware and bioluminescent imaging techniques.
  • The results showcase new 'universal' implants for simultaneous brain-spinal cord imaging, successful imaging of bioluminescent signals, and a lightweight, cost-effective modified miniscope called the 'BLmini.'
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Background: Deep brain stimulation (DBS) and other neuromodulatory techniques are being increasingly utilized to treat refractory neurologic and psychiatric disorders.

Objective: /Hypothesis: To better understand the circuit-level pathophysiology of treatment-resistant depression (TRD) and treat the network-level dysfunction inherent to this challenging disorder, we adopted an approach of inpatient intracranial monitoring borrowed from the epilepsy surgery field.

Methods: We implanted 3 patients with 4 DBS leads (bilateral pair in both the ventral capsule/ventral striatum and subcallosal cingulate) and 10 stereo-electroencephalography (sEEG) electrodes targeting depression-relevant network regions.

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Candida auris (C. auris) is a human pathogen that can colonize the skin and various body sites without signs or symptoms or cause serious invasive infections with high mortality. The number of cases involving drug-resistant C.

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A reliable physiological biomarker for Major Depressive Disorder (MDD) is necessary to improve treatment success rates by shoring up variability in outcome measures. In this study, we establish a passive biomarker that tracks with changes in mood on the order of minutes to hours. We record from intracranial electrodes implanted deep in the brain - a surgical setting providing exquisite temporal and spatial sensitivity to detect this relationship in a difficult-to-measure brain area, the ventromedial prefrontal cortex (VMPFC).

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People with late-stage Parkinson's disease (PD) often suffer from debilitating locomotor deficits that are resistant to currently available therapies. To alleviate these deficits, we developed a neuroprosthesis operating in closed loop that targets the dorsal root entry zones innervating lumbosacral segments to reproduce the natural spatiotemporal activation of the lumbosacral spinal cord during walking. We first developed this neuroprosthesis in a non-human primate model that replicates locomotor deficits due to PD.

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Objective: To determine the prevalence of clients experiencing homelessness in publicly funded substance use and mental health services in Delaware and uncover basic patterns in the demographics and service access of said clients.

Methods: We analyzed Consumer Reporting Form data for clients admitted to publicly funded substance use and mental health treatment. All clients who were admitted to services from a publicly-funded provider and completed the CRF between 2019 and 2021 were included in this analysis (n=29,495).

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In vitro cell culture models can offer high-resolution and high-throughput experimentation of cellular behaviors. However, in vitro culture approaches often fail to fully recapitulate complex cell processes involving synergistic interactions between heterogeneous neural cell populations and the surrounding neural microenvironment. Here, we describe the formation of a three-dimensional primary cortical cell culture system compatible with live confocal microscopy.

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Gamma band activity localized to the primary somatosensory cortex (S1) in humans and animals is implicated in the higher order neural processing of painful and tactile stimuli. However, it is unclear if gamma band activity differs between these distinct somatosensory modalities. Here, we coupled a novel behavioral approach with chronic extracellular electrophysiology to investigate differences in S1 gamma band activity elicited by noxious and innocuous hind paw stimulation in transgenic mice.

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In May 2022, a global outbreak of monkeypox was identified in Europe and North America in individuals most of whom had no history of travel from monkeypox-endemic countries. This article provides an overview of monkeypox disease prevention guidance and treatment options available.

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Although Delaware is the seventh smallest state in the country (including Washington, D.C.) in terms of population size, it has the second highest drug overdose death rate.

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Bidirectional deep brain stimulation (DBS) platforms have enabled a surge in hours of recordings in naturalistic environments, allowing further insight into neurological and psychiatric disease states. However, high amplitude, high frequency stimulation generates artifacts that contaminate neural signals and hinder our ability to interpret the data. This is especially true in psychiatric disorders, for which high amplitude stimulation is commonly applied to deep brain structures where the native neural activity is miniscule in comparison.

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The ability to modulate ongoing walking gait with precise, voluntary adjustments is what allows animals to navigate complex terrains. However, how the nervous system generates the signals to precisely control the limbs while simultaneously maintaining locomotion is poorly understood. One potential strategy is to distribute the neural activity related to these two functions into distinct cortical activity coactivation subspaces so that both may be conducted simultaneously without disruptive interference.

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Traumatic spinal cord injury often leads to loss of sensory, motor, and autonomic function below the level of injury. Recent advancements in spinal cord electrical stimulation (SCS) for spinal cord injury have provided potential avenues for restoration of neurologic function in affected patients. This review aims to assess the efficacy of spinal cord stimulation, both epidural (eSCS) and transcutaneous (tSCS), on the return of function in individuals with chronic spinal cord injury.

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Epidural electrical stimulation (EES) has emerged as an approach to restore motor function following spinal cord injury (SCI). However, identifying optimal EES parameters presents a significant challenge due to the complex and stochastic nature of muscle control and the combinatorial explosion of possible parameter configurations. Here, we describe a machine-learning approach that leverages modern deep neural networks to learn bidirectional mappings between the space of permissible EES parameters and target motor outputs.

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Recent cases suggest that melioidosis, an infection caused by Burkholderia pseudomallei, is an emerging infectious disease. Nurses have a key role in the care of patients with melioidosis. This article provides an overview of the epidemiology, clinical presentation, diagnosis, treatment, and prevention of melioidosis, and discusses unusual, non-travel-related cases of melioidosis.

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Deep brain stimulation (DBS) therapies have shown clinical success in the treatment of a number of neurological illnesses, including obsessive-compulsive disorder, epilepsy, and Parkinson's disease. An emerging strategy for increasing the efficacy of DBS therapies is to develop closed-loop, adaptive DBS systems that can sense biomarkers associated with particular symptoms and in response, adjust DBS parameters in real-time. The development of such systems requires extensive analysis of the underlying neural signals while DBS is on, so that candidate biomarkers can be identified and the effects of varying the DBS parameters can be better understood.

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Recent advances in wireless data transmission technology have the potential to revolutionize clinical neuroscience. Today sensing-capable electrical stimulators, known as "bidirectional devices", are used to acquire chronic brain activity from humans in natural environments. However, with wireless transmission come potential failures in data transmission, and not all available devices correctly account for missing data or provide precise timing for when data losses occur.

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