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Behavior and Behavior Mechanisms Commons™
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Articles 1 - 6 of 6
Full-Text Articles in Behavior and Behavior Mechanisms
Maintaining Physical Activity During Covid-19: The Influence Of Psychosocial Variables In Individuals With Back Pain, Heidi Stabbert
Maintaining Physical Activity During Covid-19: The Influence Of Psychosocial Variables In Individuals With Back Pain, Heidi Stabbert
Student Scholar Symposium Abstracts and Posters
Stressor events, such as COVID-19, may trigger adaptive or maladaptive pain management strategies among individuals with persistent low back pain (LBP). Individuals with lower fear avoidance, depression and anxiety, and greater positive affect and quality of life may better maintain positive pain management strategies during stressor events. This study investigated psychosocial characteristics of individuals with LBP who demonstrated adaptive pain management strategies during COVID-19, indicated by maintenance of physical activity (PA). Individuals with persistent LBP (age 22.4 (3.4) years, n=25) from an existing longitudinal cohort participated. Participants completed a baseline survey prior to COVID-19 quantifying demographics, pain characteristics, the Physical …
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
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, …
Bharatanatyam, An Effective Psychotherapeutic Intervention In Dance/Movement Therapy, Maanasa Marghashayam Bharath
Bharatanatyam, An Effective Psychotherapeutic Intervention In Dance/Movement Therapy, Maanasa Marghashayam Bharath
Dance/Movement Therapy Theses
Dance/movement therapy is a psychotherapeutic modality that acknowledges the human body as a window to the human mind and spirit. Through creative and dynamic interventions, it fosters a healthy unification of the mind and body to enhance an individual's holistic health. This research focuses on the traditional dance form of India, Bharatanatyam, and its influence on the body and mind of the practitioner. Journeying through the history of the dance form to its relevance in the field of dance/movement therapy, the thesis explores how Bharatanatyam can be useful as an alternate method, in a therapeutic session to facilitate navigation through …
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
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
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
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 …