Nervous System Commons^™

The Rna-Binding Protein Pumilio Limits Polymodal Noiception In Drosophila Larvae, Sara Palega, Hannah Davenport, Rebeccah K. Stewart, Jessica Horton, Andrew Bellemer

Microbiology & Molecular Cell Biology Faculty Publications

Nociception is the process by which the nervous system detects and processes information about potentially harmful environmental stimuli to generate behavioral and physiological responses. The process of nociception undergoes plasticity in response to injury, inflammation, and infection to shape the sensitivity of nociceptive circuits and the behavioral responses they control. We are increasingly aware that post-transcriptional regulation of gene expression shapes the sensitivity and plasticity of nociceptive sensory neurons and nociceptive behavior. In Drosophila, the Pumilio RNA-binding protein interacts with diverse target mRNAs to regulate their abundance and translation in a wide range of contexts including the establishment of …

Educational Case: Meningioma, Ashley M. Carter, Harrison Dai, Harrison Klause, Alberto Musto, Richard M. Conran

Department of Medicine Faculty Publications

The following fictional case is intended as a learning tool within the Pathology Competencies for Medical Education (PCME), a set of national standards for teaching pathology. These are divided into three basic competencies: Disease Mechanisms and Processes, Organ System Pathology, and Diagnostic Medicine and Therapeutic Pathology.

Cardiac Timing Effects On Response Speed Are Modulated By Blood Pressure But Not Heart Rate Variability In Healthy Young Adults, Xiao Yang, Catalina Roldan, Michael Gazzanigo, Yasmine Nabulsi, Fang Fang

Research and Infrastructure Service Enterprise (RISE) Faculty Publications

Cardiac timing effects reflect the dynamic interplay between interoceptive and exteroceptive processes. Human information processing tends to be facilitated during cardiac diastole and inhibited during systole, reflecting autonomic regulation and the neuromodulation by baroreceptor afferents. Thus, blood pressure (BP) and vagally-mediated heart rate variability (vmHRV) are potential modulators of those effects. Additionally, cognitive control appears to play a critical role in the processes. However, whether cardiac timing effects are influenced by those factors remains unclear. The present study aimed to clarify these relationships. Fifty-one healthy young adults completed three experimental sessions to assess BP, short-term HRV, and cardiac timing effects. …

Percutaneous Levoatrial Cardinal Vein Closure For Stroke Prevention, Chee Spencer, Amir Hasani, Alexander Ellis, David Adler

Department of Medicine Faculty Publications

We report 2 cases of cerebral embolism related to congenital levoatrial cardinal vein anomalies. Both patients had positive echocardiographic agitated saline studies but intact interatrial septum on transesophageal echocardiography. Levoatrial cardinal vein was diagnosed using computed tomography angiography. A novel technique for percutaneous levoatrial cardinal vein closure using vascular plug devices was successful in both patients.

Multi-Modal Mri Based Segmentation Of Brain Metastases Using Adaptive Self-Attention, Evan Savaria

Computer Science Faculty Publications

Brain metastases (BMs) are the most common adult central nervous system malignancy, affecting 20–40% of cancer patients. Accurate segmentation of metastatic lesions in multi-modal MRI is essential for treatment planning and prognosis however, manual delineation is time consuming and prone to variability. Traditional deep learning models such as U-Net, have improved segmentation accuracy but capture limited long-range dependencies and struggle with variations in metastasis size, shape, and distribution. This study introduces the Adaptive Integrated Multi-modal Segmentation (AIMS) model, an adaptive self-attention framework within a hybrid U-Net and Transformer architecture to enhance BM segmentation by leveraging multi-modal MRI integration. The proposed …

Different Spectrum Of Space Radiation Induced Cognitive Impairments In Radiation-Naïve And Adapted Rats, Richard A. Britten, Arriyam S. Fesshaye, Alyssa Tidmore, Ella N. Tamgue, Paola A. Alvarado-Arriaga

Center for Integrative Neuroscience and Inflammatory Diseases (CINID) Faculty Publications

NASA's decision to resume manned deep space mission, first to the Moon and then Mars, necessitated a detailed assessment of the potential health effects that astronauts may experience on long-duration missions. Multiple studies suggest that there may be significant space radiation (SR)-induced impairment of neurocognitive processes, including advanced executive functions. However, given the multitude of SR-induced changes in the CNS, it is possible that completely different SR-induced sequelae will be induced in previously exposed individuals. Thus, current risk estimates are likely to be pertinent only for the early stages of a deep space mission, and even then only for astronauts …

Automatic Hemorrhage Segmentation In Brain Ct Scans Using Curriculum-Based Semi-Supervised Learning, Solayman H. Emon, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter Mccaffrey, Scott Moen, Md Fashiar Rahman

Mathematics & Statistics Faculty Publications

One of the major neuropathological consequences of traumatic brain injury (TBI) is intracranial hemorrhage (ICH), which requires swift diagnosis to avert perilous outcomes. We present a new automatic hemorrhage segmentation technique via curriculum-based semi-supervised learning. It employs a pre-trained lightweight encoder-decoder framework (MobileNetV2) on labeled and unlabeled data. The model integrates consistency regularization for improved generalization, offering steady predictions from original and augmented versions of unlabeled data. The training procedure employs curriculum learning to progressively train the model at diverse complexity levels. We utilize the PhysioNet dataset to train and evaluate the proposed approach. The performance results surpass those of …

Sex Differences In The Association Between Cardiac Vagal Control And The Effects Of Baroreflex Afferents On Behavior, Xiao Yang, Jacob Chaney, Aaron S. David, Fang Fang

Psychology Faculty Publications

Background: Cardiovascular disease (CVD) is the leading cause of mortality and disability worldwide. While sex differences in CVD have been well documented, the physiological mechanisms of those sex differences remain unclear. As important components of the cardiovascular system, cardiac vagal control and baroreflex serve as mechanisms of sex differences in CVD and are modifiable factors for gender-specific CVD preventions. Methods: Ninety-four healthy adults (18–44 years of age; M_age = 21.09 years; 46 female) were recruited to complete the assessments of heart rate variability (HRV) at a resting baseline and the cardiac timing effect on an R-wave-locked reaction time (RT) …

An Objective Assessment Of Neuromotor Control Using A Smartphone App After Repeated Subconcussive Blast Exposure, Charlend K. Howard, Masahiro Yamada, Marcia Dovel, Rie Leverett, Alexander Hill, Kenneth A. Manlapaz, David O. Keyser, Rene S. Hernandez, Sheilah S. Rowe, Walter S. Carr, Michael S. Roy, Christopher K. Rhea

Rehabilitation Sciences Faculty Publications

Subconcussive blast exposure has been shown to alter neurological functioning. However, the extent to which neurological dysfunction persists after blast exposure is unknown. This longitudinal study examined the potential short- and long-term effects of repeated subconcussive blast exposure on neuromotor performance from heavy weapons training in military personnel. A total of 214 participants were assessed; 137 were exposed to repeated subconcussive blasts and 77 were not exposed to blasts (controls). Participants completed a short stepping-in-place task while an Android smartphone app placed on their thigh recorded movement kinematics. We showed acute suppression of neuromotor variability 6 h after subconcussive blast …

Atlas-Based Shared-Boundary Deformable Multi-Surface Models Through Multi-Material And Two-Manifold Dual Contouring, Tanweer Rashid, Sharmin Sultana, Mallar Chakravarty, Michel Albert Audette

Electrical & Computer Engineering Faculty Publications

This paper presents a multi-material dual “contouring” method used to convert a digital 3D voxel-based atlas of basal ganglia to a deformable discrete multi-surface model that supports surgical navigation for an intraoperative MRI-compatible surgical robot, featuring fast intraoperative deformation computation. It is vital that the final surface model maintain shared boundaries where appropriate so that even as the deep-brain model deforms to reflect intraoperative changes encoded in ioMRI, the subthalamic nucleus stays in contact with the substantia nigra, for example, while still providing a significantly sparser representation than the original volumetric atlas consisting of hundreds of millions of voxels. The …

The Effect Of Training Program On Autism Spectrum Quotient Scores, Hossein Nazary Sharif, Sarvin Salar, Justin Anthony Haegele

Human Movement Studies & Special Education Faculty Publications

Background: Autism Spectrum Quotient (AQ) functions as an evaluative instrument designed to assess traits associated with autism. Variances exist within the brain of individuals on the autism spectrum. Moreover, certain exercises have the potential to impact specific regions of the brain.

Aim: This study aims to investigate how the program training of this study impact Autism—Spectrum Quotient.

Materials and Methods: Forty-two children aged 7-10 years with ASD were recruited to participate in this study. These children were randomly divided into two groups: the control group (N=10, 7.80±1.35 years) and the experimental group (N=32, age: 8.16±1.16 years). The experimental group underwent …

The Effect Of Concussion History On Lower Extremity Injury Risk In College Athletes: A Systematic Review And Meta Analysis, Vanessa Ramirez, Ryan Mccann, Eric Schussler, Jessica Martinez

Rehabilitation Sciences Faculty Publications

INTRODUCTION: Collegiate athletes who suffer a concussion may possess prolonged impairments even after clearance for return-to-participation, which may place them at an increased risk of lower extremity injury.

OBJECTIVE: To conduct a systematic review and meta-analysis of studies examining risk of lower extremity musculoskeletal injury following a concussion in collegiate athletes.

METHODS: A literature search was performed using the following databases: PubMed, CINAHL, SPORTDiscus. The following search terms were used to identify relevant articles, ["concussion" OR "brain injury" OR "mild traumatic brain injury" OR "mTBI"] AND ["lower extremity injury" OR "musculoskeletal injury"]. Articles were included if they were published between …

Extended Functional Connectivity Of Convergent Structural Alterations Among Individuals With Ptsd: A Neuroimaging Meta-Analysis, Brianna S. Pankey, Michael C. Riedel, Isis Cowan, Jessica E. Bartley, Rosario Pintos Lobo, Lauren D. Hill-Bowen, Taylor Sato, Erica D. Musser, Matthew T. Sutherland, Angela R. Laird

Psychology Faculty Publications

Background: Post-traumatic stress disorder (PTSD) is a debilitating disorder defined by the onset of intrusive, avoidant, negative cognitive or affective, and/or hyperarousal symptoms after witnessing or experiencing a traumatic event. Previous voxel-based morphometry studies have provided insight into structural brain alterations associated with PTSD with notable heterogeneity across these studies. Furthermore, how structural alterations may be associated with brain function, as measured by task-free and task-based functional connectivity, remains to be elucidated.

Methods: Using emergent meta-analytic techniques, we sought to first identify a consensus of structural alterations in PTSD using the anatomical likelihood estimation (ALE) approach. Next, we generated functional …

Toward A Real-Time Index Of Pupillary Activity As An Indicator Of Cognitive Load, Gavindya Jayawardena, Yasith Jayawardana, Sampath Jayarathna, Jonas Högström, Thomas Papa, Deepak Akkil, Andrew T. Duchowski, Vsevolod Peysakhovich, Izabela Krejtz, Nina Gehrer, Krzysztof Krejtz

Computer Science Faculty Publications

The Low/High Index of Pupillary Activity (LHIPA), an eye-tracked measure of pupil diameter oscillation, is redesigned and implemented to function in real-time. The novel Real-time IPA (RIPA) is shown to discriminate cognitive load in re-streamed data from earlier experiments. Rationale for the RIPA is tied to the functioning of the human autonomic nervous system yielding a hybrid measure based on the ratio of Low/High frequencies of pupil oscillation. The paper's contribution is drawn from provision of documentation of the calculation of the RIPA. As with the LHIPA, it is possible for researchers to apply this metric to their own experiments …

Peculiarities Of Neurostimulation By Intense Nanosecond Pulsed Electric Fields: How To Avoid Firing In Peripheral Nerve Fibers, Vitalii Kim, Emily Gudvangen, Oleg Kondratiev, Luis Redondo, Shu Xiao, Andrei G. Pakhomov

Bioelectrics Publications

Intense pulsed electric fields (PEF) are a novel modality for the efficient and targeted ablation of tumors by electroporation. The major adverse side effects of PEF therapies are strong involuntary muscle contractions and pain. Nanosecond-range PEF (nsPEF) are less efficient at neurostimulation and can be employed to minimize such side effects. We quantified the impact of the electrode configuration, PEF strength (up to 20 kV/cm), repetition rate (up to 3 MHz), bi- and triphasic pulse shapes, and pulse duration (down to 10 ns) on eliciting compound action potentials (CAPs) in nerve fibers. The excitation thresholds for single unipolar but not …

Deep Neural Network Analysis Of Pathology Images With Integrated Molecular Data For Enhanced Glioma Classification And Grading, Linmin Pei, Karra A. Jones, Zeina A. Shboul, James Y. Chen, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

Gliomas are primary brain tumors that originate from glial cells. Classification and grading of these tumors is critical to prognosis and treatment planning. The current criteria for glioma classification in central nervous system (CNS) was introduced by World Health Organization (WHO) in 2016. This criteria for glioma classification requires the integration of histology with genomics. In 2017, the Consortium to Inform Molecular and Practical Approaches to CNS Tumor Taxonomy (cIMPACT-NOW) was established to provide up-to-date recommendations for CNS tumor classification, which in turn the WHO is expected to adopt in its upcoming edition. In this work, we propose a novel …

Tick Extracellular Vesicles Enable Arthropod Feeding And Promote Distinct Outcomes Of Bacterial Infection, Adela S. Oliva Chávez, Xiaowei Wang, Liron Marnin, Nathan K. Archer, Holly L. Hammond, Erin E. Mcclure Carroll, Dana K. Shaw, Brenden G. Tully, Amanda D. Buskirk, Shelby L. Ford, L. Rainer Butler, Preeti Shahi, Kateryna Morozova, Cristina C. Clement, Lauren Lawres, Anya J. O'Neal, Choukri Ben Mamoun, Kathleen L. Mason, Brandi E. Hobbs, Glen A. Scoles, Eileen M. Barry, Daniel E. Sonenshine, Utpal Pal, Jesus G. Valenzuela, Marcelo B. Sztein, Marcela F. Pasetti, Michael L. Levin, Michail Kotsyfakis, Steven M. Jay, Jason F. Huntley, Lloyd S. Miller, Laura Santambrogio, Joao H.F. Pedra

Biological Sciences Faculty Publications

Extracellular vesicles are thought to facilitate pathogen transmission from arthropods to humans and other animals. Here, we reveal that pathogen spreading from arthropods to the mammalian host is multifaceted. Extracellular vesicles from Ixodes scapularis enable tick feeding and promote infection of the mildly virulent rickettsial agent Anaplasma phagocytophilum through the SNARE proteins Vamp33 and Synaptobrevin 2 and dendritic epidermal T cells. However, extracellular vesicles from the tick Dermacentor andersoni mitigate microbial spreading caused by the lethal pathogen Francisella tularensis. Collectively, we establish that tick extracellular vesicles foster distinct outcomes of bacterial infection and assist in vector feeding by acting …

Strategies For Safe And Effective Treatment Of Patients With Alzheimer Disease, Jafar Alabdullah, Ahmed Almuntashiri

Community & Environmental Health Faculty Publications

Alzheimer disease is a progressive neurodegenerative disorder that causes cognition impairment and memory loss, affecting activities in daily living. In the United States, an estimated 4.5 million people have AD and this figure is expected to reach 14 million by 2050. Because patients with AD experience a deterioration of their mental functions, patients need more help with their activities of daily living, including oral hygiene, as their AD progresses. Studies have found that individuals with AD often experience poor oral health. As advanced age is a risk factor for AD and the number of older adults in the US continues …

Statistical Analysis Of Fnirs Data: Consideration Of Spatial Varying Coefficient Model Of Prefrontal Cortex Activity Changes During Speech Motor Learning In Apraxia Of Speech, Rachel Johnson, Jennifer Matthews, Norou Diawara, Rachel Carroll

Communication Disorders & Special Education Faculty Publications

Apraxia of speech is an impairment in the planning and programming of speech typically accompanied by aphasia (language impairment) secondary to a left hemisphere stroke. It is unknown if the structural and functional connections to the damaged area implicate the integrity of the cognitive functions of the prefrontal cortex (PFC). The present study examines the feasibility of measuring hemodynamic activity in the PFC in response to the structure of practice and during treatment. This multiple-baseline single case-design study involving two individuals with chronic acquired apraxia of speech measured the hemodynamic changes in PFC activity during treatment across the intervention period …

Context Aware Deep Learning For Brain Tumor Segmentation, Subtype Classification, And Survival Prediction Using Radiology Images, Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

A brain tumor is an uncontrolled growth of cancerous cells in the brain. Accurate segmentation and classification of tumors are critical for subsequent prognosis and treatment planning. This work proposes context aware deep learning for brain tumor segmentation, subtype classification, and overall survival prediction using structural multimodal magnetic resonance images (mMRI). We first propose a 3D context aware deep learning, that considers uncertainty of tumor location in the radiology mMRI image sub-regions, to obtain tumor segmentation. We then apply a regular 3D convolutional neural network (CNN) on the tumor segments to achieve tumor subtype classification. Finally, we perform survival prediction …

Efficacy Of Radiomics And Genomics In Predicting Tp53 Mutations In Diffuse Lower Grade Glioma, Zeina A. Shboul, Khan Iftekharuddin

Electrical & Computer Engineering Faculty Publications

An updated classification of diffuse lower-grade gliomas is established in the 2016 World Health Organization Classification of Tumors of the Central Nervous System based on their molecular mutations such as TP53 mutation. This study investigates machine learning methods for TP53 mutation status prediction and classification using radiomics and genomics features, respectively. Radiomics features represent patients' age and imaging features that are extracted from conventional MRI. Genomics feature is represented by patients’ gene expression using RNA sequencing. This study uses a total of 105 LGG patients, where the patient dataset is divided into a training set (80 patients) and testing set …

Deep Learning With Context Encoding For Semantic Brain Tumor Segmentation And Patient Survival Prediction, Linmin Pei, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin

Electrical & Computer Engineering Faculty Publications

One of the most challenging problems encountered in deep learning-based brain tumor segmentation models is the misclassification of tumor tissue classes due to the inherent imbalance in the class representation. Consequently, strong regularization methods are typically considered when training large-scale deep learning models for brain tumor segmentation to overcome undue bias towards representative tissue types. However, these regularization methods tend to be computationally exhaustive, and may not guarantee the learning of features representing all tumor tissue types that exist in the input MRI examples. Recent work in context encoding with deep CNN models have shown promise for semantic segmentation of …

Toxic Environmental Risk Factors For Alzheimer's Disease: A Systematic Review, Oluwaseyi Olayinka, Olaniyi O. Olayinka, Brook T. Alemu, Muge Akpinar-Elci, George T. Grossberg

Community & Environmental Health Faculty Publications

There is growing evidence of a possible association between toxic environmental factors and Alzheimer’s disease (AD), a disabling neurodegenerative condition with no known cause. Previous reviews of toxic environmental factors for AD either focused on occupational exposures or used a non-systematic methodology. The objective of this systematic review is to assess the evidence on the link between AD and exposure to a variety of toxic environmental risk factors beyond the work environment. Structured database search was used to identify relevant studies. Twenty-nine eligible studies examining the effect of various toxic environmental agents including electromagnetic fields, solvents, pesticides, toxic metals, and …

Can Nanotechnology Be The Leading Method In Detecting And Treating Cerebral Tumors?, Daniel D. Singh, Zuri Jules-Culver

OUR Journal: ODU Undergraduate Research Journal

Nanotechnology refers to the manipulation or design of materials and structures with desired features in the 1nm–1000 nm size range. The blood brain barrier (BBB) is a major obstacle that drugs must overcome in order to reach tumor cells. The role of this barrier is to transport essential nutrients while protecting and regulating the internal environment. Nanoparticles have been shown to transport drugs through this barrier and accumulate in tumor cells. This is significant since nanoparticles are drug carriers allowing chemotherapeutic drugs to accumulate in target areas (Sun et al., 2017). This is possible because they are able to be …

The Role Of Neck Musculature In Traumatic Brain Injuries In Older Adults: Implications From Sports Medicine, Tyler A. Wood, Steven Morrison, Jacob J. Sosnoff

Rehabilitation Sciences Faculty Publications

Traumatic brain injuries (TBIs) are common and serious injuries to older adults. The majority of TBIs in older adults are sustained when the head impacts the ground or other surface during a fall. While several non-modifiable risk factors have been identified for fall-related TBIs in older adults, there still remains a dearth of knowledge surrounding modifiable risk factors. Thus, this significant knowledge gap warrants an investigation into research across disciplines. The sports medicine literature has examined several modifiable risk factors to prevent a mild form of TBI known as concussion. While this research has identified several risk factors, one particular …

Treatment Of Auditory Processing In Noise In Individuals With Mild Aphasia: Pilot Study, Anastasia M. Raymer, Hilary M. Sandberg, Kathryn S. Schwartz, Ginger S. Watson, Stacie I. Ringleb

Communication Disorders & Special Education Faculty Publications

Purpose: Listening in noise challenges listeners with auditory comprehension impairments in aphasia. We examined the effects of Trivia Game, a computerized program with questions spoken in increasing levels of background noise with success in the game.

Methods: We piloted Trivia Game in four individuals with chronic aphasia and mild auditory comprehension impairments. Participants played Trivia Game for 12 twenty-minute sessions. In addition to the Western Aphasia Battery (WAB), we measured outcomes on Quick Speech in Noise (QSIN), a sentence repetition test, administered in auditory (AUD) and auditory+visual (AV) conditions as signal-to-noise ratio varied from 25 to 0 dB.

Results: All …

The Effect Of Tackling Training On Head Accelerations In Youth American Football, Eric Schussler, Richard J. Jagacinski, Susan E. White, Ajit M. Chaudhari, John A. Buford, James A. Onate

Rehabilitation Sciences Faculty Publications

Background: Many organizations have introduced frameworks to reduce the incidence of football related concussions through proper equipment fitting, coach education, and alteration of tackling technique.

Purpose: The purpose of this study was to examine the effects of training in a vertical, head up tackling style on the number of head accelerations experienced while tackling in a controlled laboratory situation. The authors hypothesized that training in a head up tackling technique would reduce the severity of head acceleration experienced by participants.

Design: Controlled Laboratory Study.

Methods: Twenty-four participants (11.5 ± 0.6 years old, 60.5 ± 2.2 in, 110 ± 18.4 lbs.) …

Comparison Of A Head Mounted Impact Measurement Device To The Hybrid Iii Anthropomorphic Testing Device In A Controlled Laboratory Setting, Eric Schussler, David Stark, John H. Bolte, Yun Seok Kang, James A. Onate

Rehabilitation Sciences Faculty Publications

Background: Reports estimate that 1.6 to 3.8 million cases of concussion occur in sports and recreation each year in the United States. Despite continued efforts to reduce the occurrence of concussion, the rate of diagnosis continues to increase. The mechanisms of concussion are thought to involve linear and rotational head accelerations and velocities. One method of quantifying the kinematics experienced during sport participation is to place measurement devices into the athlete’s helmet or directly on the athlete’s head.

Purpose: The purpose of this research to determine the accuracy of a head mounted device for measuring the head accelerations experienced by …