The clinical observation and assessment of extra-ocular movements is common practice in assessing neurodegenerative disorders but remains observer-dependent. In the present study, we propose an algorithm that can automatically identify saccades, fixation, smooth pursuit, blinks using a non-invasive eye tracker. Subsequently, response-to-stimuli-derived interpretable features were elicited objectively quantitatively assess patient behaviors. cohort analysis encompasses persons with mild...

Inflammatory Bowel Disease (IBD) has become alarmingly prevalent in the last two decades affecting 6.8 million people worldwide with a starkly high relapse rate of 40% within 1 year remission. Existing visual endoscopy techniques rely on subjective assessment images that are error-prone and insufficient indicators early-stage IBD, rendering them unsuitable for frequent quantitative monitoring gastrointestinal health necessary detecting regular relapses IBD patients. To address these...

Effective management of Inflammatory Bowel Disease (IBD) is contingent upon frequent monitoring inflammation levels at targeted locations within the gastrointestinal (GI) tract. This crucial for assessing disease progression and detecting potential relapses. To address this need, a novel single-use capsule technology has been devised that enables region-specific measurement, thereby facilitating repeatable GI The integrates pH-responsive coating location-specific activation, chemiluminescent...

While the protein complex responsible for controlling direction (clockwise [CW] or counterclockwise [CCW]) of flagellar rotation has been fairly well studied in Escherichia coli and Salmonella, less is known about switch Bacillus subtilis other Gram-positive species. Two component proteins (FliG FliM) are shared between E. B. subtilis, but place FliN found coli, contains larger FliY. Notably, signaling CheY-phosphate induces a from CW to CCW rotation, opposite its action Here, we have...

Vagus nerve stimulation (VNS) is an FDA-approved therapy to treat patients with refractory epilepsy. In this work, we use a coherent holographic imaging system characterize vagus nerve-evoked potentials (VEPs) in the cortex response VNS paradigms without electrode placement or any genetic, structural, functional labels. We analyze amplitude up saturation, pulse width 800 μs, and frequency from 10 Hz 30 Hz, finding that strongly modulates VEPs magnitude (effect size 0.401), while has moderate...

<title>Abstract</title> Vagus Nerve Stimulation (VNS) was the first FDA-approved stimulation therapy to treat patients with refractory epilepsy and remains widely used. The mechanisms behind therapeutic effect of VNS remain unknown but are thought involve afferent-mediated modulation cortical circuits¹. In this work, we use a coherent holographic imaging system characterize vagus nerve evoked potentials (VEPs) in cortex response typical paradigms, which does not require electrode...

Crouzon and Apert syndromes are rare genetic disorders characterized by craniosynostosis, a condition with premature fusion of sutures the skull bones, which is occasionally associated epilepsy. We report case patient syndrome medically refractory temporal lobe epilepsy encephaloceles that experienced near sudden unexpected death in (SUDEP) event. This illuminates both need to consider as treatable lesional etiology craniosynostosis postictal apnea may be an important mechanism...

Abstract Background Clinical rating scales and neuropsychological tests are commonly used for assessing sign disease severity, yet lack detail in the early stages Alzheimer’s Disease (AD). Existing evaluation methods can be subjective, nonlinear, expensive, or reliant on anecdotal evidence making objective consistent characterization phenotyping of AD difficult. Multimodal analysis patient behavior, rather than scoring patient‐generated output which skewed by compensation strategies,...

Abstract Background Clinical rating scales and neuropsychological tests are commonly used for assessing sign disease severity, yet lack detail in the early stages Alzheimer’s Disease (AD). Existing evaluation methods can be subjective, nonlinear, expensive, or reliant on anecdotal evidence making objective consistent characterization phenotyping of AD difficult. Multimodal analysis patient behavior, rather than scoring patient‐generated output which skewed by compensation strategies,...

Abstract Background Alzheimer’s disease (AD) is characterized by progressive loss or damage to the nervous system which can cause impairment in movement, coordination, and cognition. Due complexity of clinical features at different stages disease, it may require months for an accurate diagnosis. Oculomotor researchers have demonstrated utility examining eye movements differentiating various neurodegenerative disorders including AD, Parkinson’s (PD), other PD mimics (PDM). In this study, we...

Abstract The clinical observation and assessment of extra-ocular movements is common practice in assessing neurological disorders but remains observer-dependent subjective. In the present study, we propose an algorithm that can automatically identify saccades, fixation, smooth pursuit, blinks using a non-invasive eye-tracker and, subsequently, elicit response-to-stimuli-derived interpretable features objectively quantitatively assess patient behaviors. cohort analysis encompasses persons...

Abstract Although many neurodegenerative diseases affect different neural circuits, they often express complex and overlapping symptom profiles making them difficult to differentiate precisely. Current methods of analyzing patients are limited bedside examination, patient self-rating scales, semiquantitative clinician-rating other observational evidence, which non-specific, resulting in open multiple interpretations ambiguity diagnosis treatment plans. We present a method analyze using...

Time series data is often composed of information at multiple time scales, particularly in biomedical data. While numerous deep learning strategies exist to capture this information, many make networks larger, require more data, are demanding compute, and difficult interpret. This limits their usefulness real-world applications facing even modest computational or constraints can further complicate translation into practice. We present a minimal, computationally efficient Scale Network...

Abstract Background Alzheimer’s disease (AD) is characterized by progressive loss or damage to the nervous system which can cause impairment in movement, coordination, and cognition. Due complexity of clinical features at different stages disease, it may require months for an accurate diagnosis. Oculomotor researchers have demonstrated utility examining eye movements differentiating various neurodegenerative disorders including AD, Parkinson’s (PD), other PD mimics (PDM). In this study, we...

As a key element of user experience, communicating expectations to through visual elements instead natural language can produce more intuitive interface as users interact with system.While such languages are developed by domain experts for specific purposes, these also grow, change, and evolve within community in the same manner language.Video games one area where communication directly affects enjoyability, usability, accessibility work has been done create leverage order gamify learning or...

Similar to other neurological diseases, subtle early changes that occur in Alzheimer's Disease (AD) are difficult quantify and track objectively. One relevant bio-signal is eye movement, as it presents a unique window into cognitive processes direct measure of real-time inputs the brain. Eye-tracking allows us estimate timestamped activity neural function begin infer attention, reprocessing (eg. word revisits), many aspects assessing AD. The goal this study was investigate saccadic movements...