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Full-Text Articles in Medicine and Health Sciences

The Healing Power Of The Arts - Drama Therapy And The Use Of Theatre In The Treatment Of Trauma, Brooklyn Snyder Dec 2019

The Healing Power Of The Arts - Drama Therapy And The Use Of Theatre In The Treatment Of Trauma, Brooklyn Snyder

Student Scholar Symposium Abstracts and Posters

Theatre is an incredibly valuable therapeutic tool. In this thesis, I explore the ways in which trauma can reshape individuals lives, both cognitively and physically, impeding their sense of self, ability to trust, engagement, and many other seemingly ordinary aspects of day to day life that those of us unaffected by trauma take for granted. Additionally, I cover how employing theatrical tools, like improvisation and role play, can act as a beneficial treatment option for those who have suffered a traumatic past. Drama therapy allows individuals to reconnect with their bodies and their minds, gain new perspectives on their experiences, …


Across Continents And Demographics, Unpredictable Maternal Signals Are Associated With Children's Cognitive Function, Elyssia Poggi Davis, Riikka Korja, Linnea Karlsson, Laura Glynn, Curt A. Sandman, Brian Vegetabile, Eeva-Leena Kataja, Saara Nolvi, Eija Sinervä, Juho Pelto, Hasse Karlsson, Hal S. Stern, Tallie Z. Baram Jul 2019

Across Continents And Demographics, Unpredictable Maternal Signals Are Associated With Children's Cognitive Function, Elyssia Poggi Davis, Riikka Korja, Linnea Karlsson, Laura Glynn, Curt A. Sandman, Brian Vegetabile, Eeva-Leena Kataja, Saara Nolvi, Eija Sinervä, Juho Pelto, Hasse Karlsson, Hal S. Stern, Tallie Z. Baram

Psychology Faculty Articles and Research

Background

Early life experiences have persisting influence on brain function throughout life. Maternal signals constitute a primary source of early life experiences, and their quantity and quality during sensitive developmental periods exert enduring effects on cognitive function and emotional and social behaviors. Here we examined if, in addition to established qualitative dimensions of maternal behavior during her interactions with her infant and child, patterns of maternal signals may contribute to the maturation of children's executive functions. We focused primarily on effortful control, a potent predictor of mental health outcomes later in life.

Methods

In two independent prospective cohorts in Turku, …


An Integration-To-Bound Model Of Decision-Making That Accounts For The Spectral Properties Of Neural Data, Ramón Guevara Erra, Marco Arbotto, Aaron Schurger Jun 2019

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.


The Unfolding Argument: Why Iit And Other Causal Structure Theories Cannot Explain Consciousness, Adrian Doerig, Aaron Schurger, Kathryn Hess, Michael H. Herzog May 2019

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 …


Rationale, Design, And Baseline Characteristics Of Walkit Arizona: A Factorial Randomized Trial Testing Adaptive Goals And Financial Reinforcement To Increase Walking Across Higher And Lower Walkable Neighborhoods, Marc A. Adams, Jane Hurley, Christine Phillips, Michael Todd, Siddhartha Angadi, Vincent Berardi, Melbourne F. Hovell, Steven Hooker May 2019

Rationale, Design, And Baseline Characteristics Of Walkit Arizona: A Factorial Randomized Trial Testing Adaptive Goals And Financial Reinforcement To Increase Walking Across Higher And Lower Walkable Neighborhoods, Marc A. Adams, Jane Hurley, Christine Phillips, Michael Todd, Siddhartha Angadi, Vincent Berardi, Melbourne F. Hovell, Steven Hooker

Psychology Faculty Articles and Research

Little change over the decades has been seen in adults meeting moderate-to-vigorous physical activity (MVPA) guidelines. Numerous individual-level interventions to increase MVPA have been designed, mostly static interventions without consideration for neighborhood context. Recent technologies make adaptive interventions for MVPA feasible. Unlike static interventions, adaptive intervention components (e.g., goal setting) adjust frequently to an individual's performance. Such technologies also allow for more precise delivery of “smaller, sooner incentives” that may result in greater MVPA than “larger, later incentives”. Combined, these factors could enhance MVPA adoption. Additionally, a central tenet of ecological models is that MVPA is sensitive to neighborhood environment …


Characterizing Range Anxiety In Electric Vehicle Users, Maiia Tolia-Shah, Brenda Gutierrez, Sook Mun (Alice) Wong, Uri Maoz May 2019

Characterizing Range Anxiety In Electric Vehicle Users, Maiia Tolia-Shah, Brenda Gutierrez, Sook Mun (Alice) Wong, Uri Maoz

Student Scholar Symposium Abstracts and Posters

Range Anxiety is the fear of running out of fuel for your car before arriving at a refueling point or final destination. While usually absent or low in gas-powered vehicles, this anxiety is a salient consideration when buying electric vehicles (EVs). This and the fact that there are fewer charging stations available compared to gas stations have been offered as hypotheses for why EV sales are low. Previous research has found that those with more experience driving EVs, felt less range anxiety as they can when and where to charge their vehicle in their daily lives. EVs are more environmentally …


Does It Matter Whether You Or Your Brain Did It? An Empirical Investigation Of The Influence Of The Double Subject Fallacy On Moral Responsibility Judgments, Uri Maoz, Kellienne R. Sita, Jeroen J. A. Van Boxtel, Liad Mudrik Apr 2019

Does It Matter Whether You Or Your Brain Did It? An Empirical Investigation Of The Influence Of The Double Subject Fallacy On Moral Responsibility Judgments, Uri Maoz, Kellienne R. Sita, Jeroen J. A. Van Boxtel, Liad Mudrik

Psychology Faculty Articles and Research

Despite progress in cognitive neuroscience, we are still far from understanding the relations between the brain and the conscious self. We previously suggested that some neuroscientific texts that attempt to clarify these relations may in fact make them more difficult to understand. Such texts—ranging from popular science to high-impact scientific publications—position the brain and the conscious self as two independent, interacting subjects, capable of possessing opposite psychological states. We termed such writing ‘Double Subject Fallacy’ (DSF). We further suggested that such DSF language, besides being conceptually confusing and reflecting dualistic intuitions, might affect people’s conceptions of moral responsibility, lessening the …


Parameterizing And Validating Existing Algorithms For Identifying Out-Of-Bed Time Using Hip-Worn Accelerometer Data From Older Women, John Belletierre, Yiliang Zhang, Vincent Berardi, Kelsie M. Full, Jacqueline Kerr, Michael J. Lamonte, Kelly R. Evenson, Melbourne Hovell, Andrea Z. Lacroix, Chongzhi Di Apr 2019

Parameterizing And Validating Existing Algorithms For Identifying Out-Of-Bed Time Using Hip-Worn Accelerometer Data From Older Women, John Belletierre, Yiliang Zhang, Vincent Berardi, Kelsie M. Full, Jacqueline Kerr, Michael J. Lamonte, Kelly R. Evenson, Melbourne Hovell, Andrea Z. Lacroix, Chongzhi Di

Psychology Faculty Articles and Research

Objective: To parameterize and validate two existing algorithms for identifying out-of-bed time using 24-hour hip-worn accelerometer data from older women. Approach: Overall, 628 women (80±6 years old) wore ActiGraph GT3X+ accelerometers 24 hours/day for up to 7 days and concurrently completed sleep-logs. Trained staff used a validated visual analysis protocol to measure in-bed periods on accelerometer tracings (criterion). The Tracy and McVeigh algorithms were adapted for optimal use in older adults. A training set of 314 women was used to choose two key thresholds by maximizing the sum of sensitivity and specificity for each algorithm and data (vertical axis, VA, …


Oxytocin Receptor Gene (Oxtr) And Father Support Interact To Predict Depressive Symptoms Postpartum, Parambir Bhatti, Taylor Delaney, Michael Poulin, Jennifer Hahn-Holbrook Mar 2019

Oxytocin Receptor Gene (Oxtr) And Father Support Interact To Predict Depressive Symptoms Postpartum, Parambir Bhatti, Taylor Delaney, Michael Poulin, Jennifer Hahn-Holbrook

Psychology Faculty Articles and Research

Postpartum depression (PPD) is a debilitating mental illness affecting approximately 13% of mothers after birth. Both genetic and psychosocial factors contribute to PPD risk, but very little is known about how these factors interact. We tested whether the rs53576 polymorphism in the oxytocin receptor (OXTR) gene accounts for variation in the impact of low social support as a risk factor for depression among mothers during the perinatal period. New mothers (N = 220) provided saliva or blood DNA samples and completed surveys assessing PPD symptoms and perceived social support. In a significant interaction, social support from the …


Systematic Literature Review Of Quetiapine For The Treatment Of Psychosis In Patients With Parkinsonism, Jack J. Chen, Henry Hua, Lilian Massihi, Ivan Portillo, Azita Alipour, William Ondo, Khashayar Dashtipour Mar 2019

Systematic Literature Review Of Quetiapine For The Treatment Of Psychosis In Patients With Parkinsonism, Jack J. Chen, Henry Hua, Lilian Massihi, Ivan Portillo, Azita Alipour, William Ondo, Khashayar Dashtipour

Library Articles and Research

Objective:

The purpose of this article was to determine the efficacy and tolerability of quetiapine compared with placebo or other interventions for psychosis in parkinsonism.

Methods:

Participants with a diagnosis of parkinsonism participated in randomized controlled trials (RCTs) investigating the efficacy and tolerability of quetiapine for psychotic symptoms within a defined follow-up period. The authors conducted searches on PubMed, Cochrane Controlled Register of Trials, and EMBASE for articles published from January 1991 to October 2017. Study methodology and patient- and treatment-level data were independently extracted and summarized by using descriptive statistics. Studies underwent quality assessment for risk of bias.

Results: …


The Influence Of Unpredictable, Fragmented Parental Signals On The Developing Brain, Laura M. Glynn, Tallie Z. Baram Jan 2019

The Influence Of Unpredictable, Fragmented Parental Signals On The Developing Brain, Laura M. Glynn, Tallie Z. Baram

Psychology Faculty Articles and Research

Mental illnesses originate early in life, governed by environmental and genetic factors. Because parents are a dominant source of signals to the developing child, parental signals - beginning with maternal signals in utero - are primary contributors to children’s mental health. Existing literature on maternal signals has focused almost exclusively on their quality and valence (e.g. maternal depression, sensitivity). Here we identify a novel dimension of maternal signals: their patterns and especially their predictability/unpredictability, as an important determinant of children’s neurodevelopment. We find that unpredictable maternal mood and behavior presage risk for child and adolescent psychopathology. In experimental models, fragmented/unpredictable …