Neuroscience and Neurobiology Commons^™

In-Season Concussion Symptom Reporting In Male And Female Collegiate Rugby Athletes, Emily E. Kieffer,, P. Gunnar Brolinson, Arthur C. Maerlender, Eric Smith, Steven Rowson

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Symptom inventories are generally only collected after a suspected concussion, but regular in-season monitoring may allude to clinical symptoms associated with repetitive subconcussive impacts and potential undiagnosed concussions. Despite sex-specific differences in symptom presentation and outcome of concussion, no return-to-play protocol takes sex into account. The objective of this study was to monitor a cohort of contact-sport athletes and compare the frequency and severity of in-season concussion-like symptom reporting between sexes. Graded symptom checklists from 144 female and 104 male athlete-seasons were administered weekly to quantify the effect of subconcussive impacts on frequency and severity of in-season symptom reporting. In-season, …

An End-To-End Cnn With Attentional Mechanism Applied To Raw Eeg In A Bci Classification Task, Elnaz Lashgari, Jordan Ott, Akima Connelly, Pierre Baldi, Uri Maoz

Psychology Faculty Articles and Research

Objective. Motor-imagery (MI) classification base on electroencephalography (EEG) has been long studied in neuroscience and more recently widely used in healthcare applications such as mobile assistive robots and neurorehabilitation. In particular, EEG-based motor-imagery classification methods that rely on convolutional neural networks (CNNs) have achieved relatively high classification accuracy. However, naively training CNNs to classify raw EEG data from all channels, especially for high-density EEG, is computationally demanding and requires huge training sets. It often also introduces many irrelevant input features, making it difficult for the CNN to extract the informative ones. This problem is compounded by a dearth of training …

Neuroplasticity Of The Corticospinal System: Applications Of Neuromodulation-Based Therapies, Alzahraa M. Amer

Dissertations, Theses, and Capstone Projects

The motor cortex and corticospinal tract are necessary for producing skilled movements. I use intermittent theta burst stimulation (iTBS), a high-frequency stimulation protocol known to promote neural plasticity, as a tool to characterize short- and long-term plasticity of the CS system.

Although it is well known that activity-dependent motor cortex (MCX) plasticity produces long-term potentiation (LTP) of local cortical circuits, leading to enhanced motor evoked potentials (MEPs), the effects produced by the corticospinal (CS) projection on spinal cord neurons have not yet been thoroughly studied. In Chapter 2, I determined if the CS tract (CST) is capable of producing LTP …

Effects Of Bimodal Transcranial Direct Current Stimulation On Modulation Of Spinal Circuitry In People With Chronic Post-Stroke Hemiparesis, John Patrick Gan, Rafael Cabrera, Lana Laudermilch, Benjamin Wolkenhauer

UNLV Theses, Dissertations, Professional Papers, and Capstones

Background: Stroke can lead to gait abnormalities such as foot drop. Foot drop can result from decreased corticospinal tract input to the ankle dorsiflexors and/or from exaggerated stretch reflexes on the soleus due to reduced reciprocal inhibition from spinal reflex pathways. Transcranial direct current stimulation (tDCS) attempts to modulate corticospinal tract input and spinal reflex pathways by delivering electrical signals to parts of the brain. The degree of neuromodulation from tDCS can be measured through the Hoffman Reflex (H-reflex)—a tool used to estimate alpha motor neuron excitability which is increased in individuals post-stroke. Purpose: The primary purpose of this study …

Development Of A Novel Cognitive-Motor Dual Task Assessment Battery In Neurodegenerative Disease, Jason Longhurst

UNLV Theses, Dissertations, Professional Papers, and Capstones

Automaticity --- the ability to perform a task with directing attentional resources to its completion --- is commonly reduced among individuals with neurodegenerative diseases. These automaticity deficits result in impaired functional and daily activities and are sensitive to subtle, subclinical impairments. However, current measurement of automaticity by dual task paradigms is methodologically limited. In order to gain insight into the current state of the literature regarding cognitive-motor interference in symptomatic and prodromal neurodegenerative disease, the author of this dissertation conducted a scoping review (Chapter 1). To address the methodological limitations of current measurement of automaticity, a new measurement tool was …

Placenta-Expanded Stromal Cell Therapy In A Rodent Model Of Simulated Weightlessness, Amber M. Paul, Linda Rubinstein, Charles Houseman, Metadel Abegaz, Steffy Tabares Ruiz

Publications

Long duration spaceflight poses potential health risks to astronauts during flight and re-adaptation after return to Earth. There is an emerging need for NASA to provide successful and reliable therapeutics for long duration missions when capability for medical intervention will be limited. Clinically relevant, human placenta-derived therapeutic stromal cells (PLX-PAD) are a promising therapeutic alternative. We found that treatment of adult female mice with PLX-PAD near the onset of simulated weightlessness by hindlimb unloading (HU, 30 d) was well-tolerated and partially mitigated decrements caused by HU. Specifically, PLX-PAD treatment rescued HU-induced thymic atrophy, and mitigated HU-induced changes in percentages of …

Deep-Learning-Based Multivariate Pattern Analysis (Dmvpa): A Tutorial And A Toolbox, Karl M. Kuntzelman, Jacob M. Williams, Phui Cheng Lim, Ashtok Samal, Prahalada K. Rao, Matthew R. Johnson

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and other neuroimaging methodologies. In a similar time frame, “deep learning” (a term for the use of artificial neural networks with convolutional, recurrent, or similarly sophisticated architectures) has produced a parallel revolution in the field of machine learning and has been employed across a wide variety of applications. Traditional MVPA also uses a form of machine learning, but most commonly with much simpler techniques based on …

Visual And Non-Visual Control Of Movement: The Role Of Proprioception In Upper Limb Function After Stroke, Nathan A. Baune

Arts & Sciences Electronic Theses and Dissertations

This dissertation presents a series of studies into human reach and grasp, focusing on the neural systems and behaviors of upper-limb action that underly performance under varied sensory conditions: specifically, acting with and without visual feedback of the limb and under typical or impaired proprioceptive sensation (proprioceptive decline with aging and proprioceptive deficit following stroke). Under typical conditions, a combination of visual and non-visual (e.g., proprioception) sources of information are used to guide action. In the instance of stroke survivors or elderly individuals with proprioceptive deficits/decline, there may be a necessary reliance on visual information to perform. The studies are …

Resting Cerebral Oxygen Metabolism Exhibits Archetypal Network Features, Nicholas A. Hubbard, Monroe P. Turner, Kevin R. Sitek, Kathryn L. West, Jakub R. Kaczmarzyk, Lyndahl Himes, Binu P. Thomas, Hanzhang Lu, Bart Rypma

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Standard magnetic resonance imaging approaches offer high-resolution but indirect measures of neural activity, limiting understanding of the physiological processes associated with imaging findings. Here, we used calibrated functional magnetic resonance imaging during the resting state to recover low-frequency fluctuations of the cerebral metabolic rate of oxygen (CMRO2). We tested whether functional connections derived from these fluctuations exhibited organization properties similar to those established by previous standard functional and anatomical connectivity studies. Seventeen participants underwent 20 min of resting imaging during dual-echo, pseudocontinuous arterial spin labeling, and blood-oxygen-level dependent (BOLD) signal acquisition. Participants also underwent a 10 min normocapnic and hypercapnic …

Biomechanically Inspired Assistive Technology To Restore Movement Of The Upper Limbs After Stroke, Ariel Thomas

Graduate Theses, Dissertations, and Problem Reports

A stroke often damages the neural structures responsible for movement. Stroke is a heterogeneous disease, affecting each survivor differently. There are common motor features of a stroke, but even these features vary across time as an individual proceeds through different stages of recovery. The different ways in which stroke motor impairment can present itself are often overlooked, but these differences are fundamental to the understanding of the disease and its recovery. When motor assessments are capable of acquiring information necessary to parse out a detailed profile of each stroke case, this will lead to an improved neuromechanical understanding of the …

Somatosensory Dysfunction Is Masked By Variable Cognitive Deficits Across Patients On The Alzheimer’S Disease Spectrum, Alex I. Wiesman, Victoria M. Mundorf, Chloe C. Casagrande, Sara L. Wolfson, Craig M. Johnson, Pamela E. May, Daniel L. Murman, Tony W. Wilson

Center for Brain, Biology, and Behavior: Faculty and Staff Publications

Background: Alzheimer’s disease (AD) is generally thought to spare primary sensory function; however, such interpretations have drawn from a literature that has rarely taken into account the variable cognitive declines seen in patients with AD. As these cognitive domains are now known to modulate cortical somato-sensory processing, it remains possible that abnormalities in somatosensory function in patients with AD have been suppressed by neuropsychological variability in previous research. Methods: In this study, we combine magnetoencephalographic (MEG) brain imaging during a paired-pulse somatosensory gating task with an extensive battery of neuropsychological tests to investigate the influence of cognitive variability on estimated …

The Incorporation Of Indigenous Tradition In Psychedelic-Assisted Psychotherapy: A Pathway To Cultural Inclusivity Within Mental Health, Angelo Adonnis Winings

Senior Projects Spring 2021

The use of psychedelic medicine has been a part of society and the evolution of humanity since the beginning of our existence. Throughout the years, these practices were integrated into cultures around the world throughout the years, as societal structures promoted traditional practices reflective of ritual and custom. One such practice that survived the test of time is the use of psychoactive substances to promote mental states that put the user in touch with spiritual ancestors as well as with the subtleties of the world around them. These practices included tribal usage in indigenous cultures from Africa, the Americas, parts …

Genus Applications For Alzheimer's Disease Pathology, Whitney L Carter

Undergraduate Arts and Research Showcase

Estimates vary, but it is thought that 5.5 million Americans age 60 and up may be living with Alzheimer’s diseases (AD). AD is the most common type of dementia and is characterized by a decline in episodic memories, long-term memory, language, attention, and personality changes. The first symptoms can vary, but for most people memory is the first capacity to become impaired. However, symptoms can also be a decline in non-memory aspects of cognition like work-finding, vision/spatial issues, and impaired reasoning or judgement. AD is identified mainly by two histopathological features: extracellular plague of amyloid-beta protein and intracellular neuronal tangles …