Other Psychiatry and Psychology Commons^™

The Complex Relationship Between Celebrity-Driven Magazines And Depictions Of Fertility At Advanced Reproductive Ages, Brennan Peterson

Marriage and Family Therapy Faculty Articles and Research

"In this issue of the Journal of Women’s Health, Willson and colleagues explore how age and fertility are portrayed in celebrity-driven magazines.¹ Specifically, they examine if popular media depictions of celebrity pregnancies present accurate information related to age and fertility, the use of assisted reproductive technology (ARTs), and pregnancy-related risks associated with advanced maternal age (AMA >35 years). Their study provides an important viewpoint related to the impact of media on reproductive perceptions, and its potential intersection with delayed childbearing, fertility awareness, and reproductive decision making."

Texas, The Death Penalty, And Intellectual Disability, Megan Green

St. Mary's Law Journal

Abstract forthcoming

The Development Of Face Morphing Task To Assess Self Other Differentiation, Esen Karan

Dissertations, Theses, and Capstone Projects

Self-Other Differentiation (SOD) refers to a developmental process of acquiring a consolidated, integrated, and individuated sense of self. SOD develops at a) perceptual (e.g., facial perception) and b) representational (e.g., traits, mental states, and beliefs) levels. Impairments in representational SOD (R-SOD) are associated with many forms of psychopathology, particularly borderline personality disorder (BPD) and narcissistic personality disorder (NPD). Few studies to date have examined the perceptual aspects of SOD (P-SOD), which are hypothesized to develop from infancy onwards in tandem and in interaction with R-SOD. Given that the human face is one of the key characteristics that humans use to …

Does Ethnic Identity, In-Group Preference, And Acculturation Protect Latinas With A History Of Interpersonal Trauma From Developing Symptoms Of Ptsd?, Evelyn M. Ramirez

Dissertations, Theses, and Capstone Projects

Previous research suggests ethnic identity, a sense of belonging to a particular cultural group, may be protective against symptoms of post-traumatic stress disorder (PTSD). However, the role of ethnic identity, in-group preference (i.e., an individual’s preference for interactions with members of their own ethnic group) and acculturation (i.e., the level of comfort with the mainstream culture) have not been investigated as protective factors for Latinas with a history of interpersonal and sexual trauma. In this study, ethnic identity, in-group preference and acculturation were assessed via self-report on the Scale of Ethnic Experience in two samples of undergraduate Latina and non-Latina …

Recent Trends, Current Research In Cyberpsychology: A Literature Review, Amarjit Kumar Singh, Pawan Kumar Singh

Library Philosophy and Practice (e-journal)

Cyberpsychology refers to the study of the mind and behavior in the context of interactions with technology. It is an emerging branch, which has focused on the psychological aspects connected to the increasing presence and usages of technology in modern lives. This paper traces recent advancement and trends of Cyberpsychology is an emerging domain of knowledge and goes on the give a literature review of the same. An analysis of the recent research and literature covering 300 most relevant research papers from the period of 2012 to 15, August 2019 was conducted to determine and shape the research pattern based …

Childhood Sexual Abuse: The Truth Behind The Trauma, Alexandra Punch

Population Health Research Brief Series

There are many misconceptions about coping behaviors, laws, and regulations that make coming forward difficult and painful. This issue brief discusses the hurdles for child victims of sexual assault and the initiatives taking place across the country to combat stereotypes and bring justice to children and their families.

An Interpretative Phenomenological Analysis Investigating Uk Female Experiences Of Psychosocial Adjustment Following Bariatric Surgery, Mark J. Maxwell

The Qualitative Report

The psychosocial impact of bariatric surgery has not been studied as diligently as the physical impact, particularly within the first 6 months following surgery. The aim of the present study was to explore psychosocial adjustment in UK bariatric candidates within this time-scale. Six female participants were purposively recruited to complete a semi-structured interview, and Interpretative Phenomenological Analysis was used to analyse their experiences. Four super-ordinate themes emerged from the interview data which were: (1) "It was me but it wasn’t me": pre-surgery identity, (2) "I don’t see myself as this fat blob of a person anymore": transforming identity, (3) "No …

The Relationship Between Socioeconomic Status And White Matter Microstructure In Pre-Reading Children: A Longitudinal Investigation, Ola Ozernov-Palchik, Elizabeth S. Norton, Yingying Wang, Sara D. Beach, Jennifer Zuk, Maryanne Wolf, John D.E. Gabrieli, Nadine Gaab

Center for Brain, Biology, and Behavior: Faculty Publications

Reading is a learned skill crucial for educational attainment. Children from families of lower socioeconomic status (SES) tend to have poorer reading performance and this gap widens across years of schooling. Reading relies on the orchestration of multiple neural systems integrated via specific white-matter pathways, but there is limited understanding about whether these pathways relate differentially to reading performance depending on SES background. Kindergarten white-matter FA and second-grade reading outcomes were investigated in an SES-diverse sample of 125 children. The three left-hemisphere white-matter tracts most associated with reading, and their right-hemisphere homologs, were examined: arcuate fasciculus (AF), superior longitudinal fasciculus …

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …

Postoperative Pain: Factors And Tools To Improve Pain Management In Children, Mai M. Makhlouf, Eric Robles Garibay, Brooke N. Jenkins, Zeev N. Kain, Michelle Fortier

Psychology Faculty Articles and Research

Outpatient surgery has made it increasingly common for parents to manage pain in the home setting. Studies have shown that parents often under treat pain, leaving children vulnerable to the negative side effects of suboptimal pain management. Multiple factors affect pain management like child’s age and developmental stage, language, cultural values like stoicism, parental beliefs about medication, biological differences among groups, etc. Understanding all the factors involved can help healthcare providers and parents better understand pain and contribute to optimal pain management. Multiple tools and technological interventions have been created to help create a better understanding of pain and a …

An Integration-To-Bound Model Of Decision-Making That Accounts For The Spectral Properties Of Neural Data, Ramón Guevara Erra, Marco Arbotto, Aaron Schurger

Psychology Faculty Articles and Research

Integration-to-bound models are among the most widely used models of perceptual decision-making due to their simplicity and power in accounting for behavioral and neurophysiological data. They involve temporal integration over an input signal (“evidence”) plus Gaussian white noise. However, brain data shows that noise in the brain is long-term correlated, with a spectral density of the form 1/fα (with typically 1 < α < 2), also known as pink noise or ‘1/f’ noise. Surprisingly, the adequacy of the spectral properties of drift-diffusion models to electrophysiological data has received little attention in the literature. Here we propose a model of accumulation of evidence for decision-making that takes into consideration the spectral properties of brain signals. We develop a generalization of the leaky stochastic accumulator model using a Langevin equation whose non-linear noise term allows for varying levels of autocorrelation in the time course of the decision variable. We derive this equation directly from magnetoencephalographic data recorded while subjects performed a spontaneous movement initiation task. We then propose a nonlinear model of accumulation of evidence that accounts for the ‘1/f’ spectral properties of brain signals, and the observed variability in the power spectral properties of brain signals. Furthermore, our model outperforms the standard drift-diffusion model at approximating the empirical waiting time distribution.

Alterations In Cortical Activation Among Individuals With Chronic Ankle Instability During Single-Limb Postural Control, Adam B. Rosen, Jennifer M. Yentes, Melanie L. Mcgrath, Arthur C. Maerlender, Sara A. Myers, Mukul Mukherjee

Center for Brain, Biology, and Behavior: Faculty Publications

Context: Chronic ankle instability (CAI) is characterized by repetitive ankle sprains and perceived instability. Whereas the underlying cause of CAI is disputed, alterations in cortical motor functioning may contribute to the perceived dysfunction.

Objective: To assess differences in cortical activity during single-limb stance among control, coper, and CAI groups.

Design: Cross-sectional study.

Setting: Biomechanics laboratory.

Patients or Other Participants: A total of 31 individuals (10 men, 21 women; age = 22.3 ± 2.4 years, height = 169.6 ± 9.7 cm, mass = 70.6 ± 11.6 kg), who were classified into control (n = 13), coper (n = 7), and CAI …

Exploring The Impact Of Challenging Behaviors On Treatment Efficacy In Autism Spectrum Disorder, Juliana Hoag

Computational and Data Sciences (MS) Theses

The focus of this study was to explore the impact of challenging behaviors on Applied Behaviors Analysis treatment in Autism Spectrum Disorder. The prevalence of ASD is on the rise, so it is important that we understand how patients are responding to treatment. In this study, we cluster patients (N=854) based on their eight observed challenging behaviors using k-means, a machine learning algorithm, and then perform a multiple linear regression analysis to find significant differences between average exemplars mastered. The goal of this study was to expand the research in the area of ABA treatment for ASD and to help …

A Literature Review Of Nature-Based Expressive Arts Therapy For Bereaved Children, Wendy Dalton

Expressive Therapies Capstone Theses

There is a need for increased visibility of child bereavement to expand research in and accessibility of developmentally appropriate supports, which views the child holistically and within their biopsychosocial context. Worden’s (1996) formative work with child bereavement resulting in the "tasks" of child bereavement was the first and most recent study of its scale and kind. This marked an affirming of grief as normative response to death and occurring throughout the developmental lifespan. This work also highlights the need for additional inquiry to expand and deepen understanding of child bereavement. A growing body of research suggests that ecotherapy and expressive …

Expressive Mindfulness: A Trauma-Sensitive Expressive Arts Therapy Group Method, Meghan Daly

Expressive Therapies Capstone Theses

Mindfulness and expressive arts therapy are both supportive of directing attention in a manner that promotes integration and function of a person. In this paper, a trauma-sensitive method was created for use in a day treatment setting for adults with severe and persistent mental illness (SPMI). This method utilized expressive movement, visual art making with three different materials, and creative writing to encourage mindful, non-judgmental acceptance of the present moment; a sense of relaxation; and an overall increase in quality of life. During development of the method arts-based research informed the choice of materials, music, and structure of the group. …

A Meta-Analytic Review Of Cognitive Functioning In Negative And Positive Symptoms Of Schizophrenia, Tiffany Forsythe

Electronic Theses and Dissertations

The purpose of the study was to conduct two meta-analytic reviews examining cognitive functioning and schizophrenia. The first review examined the literature comparing the cognitive functioning of schizophrenic patients to healthy controls. A second review examined the cognitive functioning within schizophrenic patients, examining the differences between individuals with primarily positive symptomatology and those with primarily negative symptomatology. The first meta-analysis included 19 studies which assessed 861 schizophrenic patients and 858 healthy volunteers overall. The second meta-analysis included 10 studies comparing the cognitive functioning of 1,263 schizophrenics across positive and negative symptoms. Results of the first review indicated that healthy controls …

The Unfolding Argument: Why Iit And Other Causal Structure Theories Cannot Explain Consciousness, Adrian Doerig, Aaron Schurger, Kathryn Hess, Michael H. Herzog

Psychology Faculty Articles and Research

How can we explain consciousness? This question has become a vibrant topic of neuroscience research in recent decades. A large body of empirical results has been accumulated, and many theories have been proposed. Certain theories suggest that consciousness should be explained in terms of brain functions, such as accessing information in a global workspace, applying higher order to lower order representations, or predictive coding. These functions could be realized by a variety of patterns of brain connectivity. Other theories, such as Information Integration Theory (IIT) and Recurrent Processing Theory (RPT), identify causal structure with consciousness. For example, according to …

Development Of An Integrated Unmanned Aerial Systems Validation Center, Austin G. Decker, John H. Mott, Robert J. Connor, Ayman Habib, Darcy M. Bullock

International Symposium on Aviation Psychology - 2019

Unmanned Aerial Systems (UAS) have the potential to drastically change how civil infrastructure is inspected, monitored, and managed. Deployment of UAS in areas such as bridge inspection and accident reconstruction will likely have far-reaching impacts and evolve over time, with new uses and users emerging as technology matures. However, with any new technology, limitations exist until new protocols are established, and industry must move forward with an appropriate level of caution. For example, statements regarding the ability of a UAS to replace a human bridge inspector are frequently observed in trade magazines, presentations, and in the literature, though no objective …

Communicating Data-Driven Risk Information To Pilots, Nicoletta Fala, Karen Marais

International Symposium on Aviation Psychology - 2019

General Aviation safety is a pressing concern. In this research, we consider the factor that appears most often in accidents: the pilot. Newly-licensed pilots can fly without their instructor, potentially as the only or most experienced pilot in the aircraft. Commercial debrief products use technology in the flight deck to collect data and provide post-flight visualizations for performance reviews, but do not discuss flight safety. To manage risk, though, pilots need to perceive the risk associated with a situation before deciding whether they are willing to accept it. Safety-driven post-flight feedback may help address performance. However, it is not clear …

The Joint Tactical Air Controller: Cognitive Modeling And Augmented Reality Hmd Design., Christopher D. Wickens, Gaia Dempsey, Andrew Pringle, Lucas Kazansky, Stefanie Hutka

International Symposium on Aviation Psychology - 2019

This paper describes the design and model based evaluation of DARSAD, an augmented reality head mounted display for the joint tactical air controller (JTAC), who manages and directs fire from air assets near the battlefield. Designs, based on 6 principles of attention, memory and information processing are produced for various phases of JTAC operations including target identification and airspace management. The different design candidates are evaluated and compared based on how they “scored” in adhering to model predictions, when those models were based on the above principles. Display designs, principles, models and the evaluation process are all described here.