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, …

Inter-Subject Correlation Using Movie-Driven Fmri In Drug-Resistant Epilepsy, Hana H. Abbas

Electronic Thesis and Dissertation Repository

Treating drug-resistant epilepsy with surgery requires the localization of the epileptic focus. We explored the potential for movie-driven functional magnetic resonance imaging (fMRI) to act as a sensitive, non-invasive, and cost-effective tool to identify functionally disturbed networks. We assessed neural synchronization (inter-subject correlation; ISC) between presurgical epilepsy patients (n = 18) and healthy controls (n = 24) as they watched a suspenseful movie clip in the scanner. To optimize denoising, we compared ISC values with and without an automated Independent Components Analysis-based denoising step (ICA-AROMA). We found that denoising with ICA-AROMA elicited augmented correlation values, supporting its use …

Dimensionality Reduction For Classification Of Object Weight From Electromyography, Elnaz Lashgari, Uri Maoz

Psychology Faculty Articles and Research

Electromyography (EMG) is a simple, non-invasive, and cost-effective technology for measuring muscle activity. However, multi-muscle EMG is also a noisy, complex, and high-dimensional signal. It has nevertheless been widely used in a host of human-machine-interface applications (electrical wheelchairs, virtual computer mice, prosthesis, robotic fingers, etc.) and, in particular, to measure the reach-and-grasp motions of the human hand. Here, we developed an automated pipeline to predict object weight in a reach-grasp-lift task from an open dataset, relying only on EMG data. In doing so, we shifted the focus from manual feature-engineering to automated feature-extraction by using pre-processed EMG signals and thus …

Where To Draw The Line: Evaluating Visuospatial And Attentional Processing In Individuals With Autism Spectrum Disorders, Alisha Steigerwald

University Honors Theses

Objective: We investigated visuospatial processing in individuals with autism using bisection and quadrisection tasks to evaluate the presence of a possible downward vertical spatial bias that could provide insights into the preference for attending to the mouth in ASD populations.

Methods: Twenty participants with ASD and 20 age, IQ, and sex-matched control participants were recruited (ages 6-23). Participants were asked to bisect, quadrisect from the top, and quadrisect from the bottom vertical lines placed in their left, center, and right visual spaces. Distance from the true midpoint and quadripoint were calculated and compared between the two groups.

Results: No significant …

Exploring Tactile Art-Making With Deafblind Students And Their Families: An Opportunity For Creative Play, Alice Rodgers

Expressive Therapies Capstone Theses

The impact of a deafblind diagnosis on an individual’s mental health and the well-being of the family involved can be profound. However, current research and available literature for the mental health treatment and therapy practices of deafblind persons and their families is limited (Kyzar et al., 2016; “WFDB Global Report 2018,” n.d.). This thesis used the Leeds Family Psychology and Therapy Service principles (Leeds FPTS) and the Expressive Therapies Continuum with established deafblind teaching strategies to facilitate an original arts-based community project entitled: “Things We Like.” This project provided an opportunity for deafblind students (ages three to 22) and their …

Headache-Related Disability Among Individuals With And Without Migraine Aura, Delora Denney

Honors Theses

Migraine is a neurological disease marked by recurrent headache and migraine attacks. Migraine is one of the most common diseases in the world, and as a result of high prevalence and symptoms, migraine is also quite disabling. One-third of people who have migraine experience aura, and these individuals have a greater risk for stroke, psychiatric comorbidities, and suicide attempts. The present study aimed to evaluate if there was a difference in headache-related disability between those who have migraine with and without aura, and any headache or psychiatric factors that may account for observed difference in disability.

The present study is …

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 …

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 …

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 …