Implicit bias, rooted in unconscious attitudes, fuels discrimination based on race, gender, or sexual orientation, disproportionately impacting marginalized groups. Despite the development of interventions addressing provider awareness of implicit bias, the advancement of clinical education through technology has been slow. In the UnBIASED research project, we investigated the usability of ConverSense, a personalized communication assessment tool to raise healthcare providers' awareness of bias in their communication with patients. This web-based tool measures social dimensions such as warmth, interactivity, engagement, and assertiveness from recorded patient-provider visits, and visualizes these patterns through graphs and embedded clips. In this study, we (PT, NE) examined whether ConverSense meets usability standards through heuristic evaluations conducted by design experts. Six healthcare technology experts participated in the evaluation of ConverSense using Nielsen's 10 usability heuristics. Experts documented usability issues for each heuristic and rated their severity on a scale from 0 (not a problem) to 4 (catastrophic problem). Through our analysis, we (PT, NE) identified three cross-cutting themes: 1) Poor design, where experts noted the absence of undo or delete buttons, making navigation challenging, and the distracting color scheme on graphs; 2) Data visualization issues, with experts expressing difficulty interpreting charts and uncertainty about what is considered ideal or good communication. One expert said “It's unclear what is considered ideal/good…for each gauge chart, high interactivity, engagement, and warmth I would assume are ideal/good. But how the charts are displayed in the system I cannot know for certain”; 3) Ambiguity in information presentation, where experts sought more definitions for measured social dimensions and recommended training links to help them identify personal actions they can take to improve their communication. This study underscores the value of incorporating expert feedback and addressing usability issues to improve tools like ConverSense to address implicit bias and promote equitable patient-provider interactions.

Damage to the spinal cord causes one of the most debilitating injuries to the human body. The challenge of promoting the regeneration of this dense network of neurons and glia after spinal cord injury has been seen as insurmountable. However, new techniques emerging from the field of regenerative medicine have illustrated the possibility of encouraging the body to repair these injuries on its own. In the Wills Lab, we study the model organism Xenopus tropicalis, or the Western clawed frog, which has the ability to regenerate its spinal cord and associated tissue following amputation. My project focuses on how X. tropicalis uses the developmental morphogen Sonic Hedgehog (Shh) to re-establish the dorsal-ventral (DV) patterning of the spinal cord during regeneration. I have used cyclopamine, a Shh inhibitor, and SAG, an agonist, in order to perturb Shh signaling during regeneration. I then monitored the effect on DV patterning via immunohistochemical labeling of dorsal and ventral markers. Work so far has shown that Shh signaling is in fact necessary to the establishment of proper DV domains in the regenerate spinal cord. However, my research has also hinted that this specification is complex. Shh appears to have a more proliferative role early on, with patterning effects coming later. In addition, there appears to be an interaction between Shh and other signals that specify anterior-posterior polarity. Overall, my research so far has generated new evidence for how developmental signals are repurposed in the context of regeneration. 

Repetitive transcranial magnetic stimulation (rTMS) is a psychiatric treatment which has shown promise for experimental treatment of memory loss in Alzheimer’s Disease. rTMS uses a coil and electric current which is able to create a magnetic field that can depolarize neurons noninvasively and induce synchronized activity of large populations of neurons, ultimately inducing, lasting changes through synaptic plasticity. Alzheimer’s disease patients show disruptions in the Default Mode Network (DMN), a network of brain regions which is typically active at rest. The DMN has an important role in memory consolidation and is disrupted in Alzheimer's Disease. We hypothesize that strengthening the default mode network through rTMS applied to area left 8AV of the frontal cortex will create improvements in patient memory. To answer this question, we are performing a single-blind, single-arm, randomized cross-over trial of rTMS on early-stage Alzheimer's disease patients. Region 8AV is located by using MRI scans obtained before patients receive either the sham or experimental procedure. This region was chosen due to its connection to the default mode network and previous promising TMS research. Our primary outcome measure is the speed of forgetting, a new, reliable index of memory function obtained by fitting a computational model of episodic memory to behavioral data from an adaptive memory test. Due to the frequent use of rTMS in mood disorder treatment, we are using depression and anxiety scales to track possible mood improvements as a secondary outcome measure. MRI scans will also be analyzed to see if the experimental treatment caused any structural differences in patient brains. Should our hypothesis be correct, we expect to see improvements in memory or cessation of memory decline in patients. Successful treatment would provide a novel target for Alzheimer’s Disease treatment using rTMS, and additional evidence for the continued investigation of rTMS for Alzheimer’s Disease.

Mind-wandering, characterized by the inward direction of attention towards thoughts, represents a widespread cognitive phenomenon that can disrupt task-related attention. Evidence indicates that the frequency of mind-wandering increases during sustained attention tasks, and previous research has proposed several hypotheses, such as resource-depletion, control-failure, and resource-control hypothesis, to explain the increases as well as the declines in task performance from their perspective. This study first aims to investigate the impact of incorporating a strategy of break on the frequency of mind-wandering during a Sustained Attention to Response Task (SART). It seeks to determine whether a break strategy can mitigate the frequency of mind-wandering and to identify which of the aforementioned hypotheses best fit the experiment outcome. Specifically, it examines whether a rest break or a task-switching intervention can reduce the frequency of mind-wandering, comparing these effects to a no-break condition. Forty students from the University of Washington will participate in a four-part experiment that includes two 480-trial SART tasks, an intervening break condition (rest break, task-switch, or no break), and a concluding questionnaire. Mind-wandering will be measured through thought-probe methodology, and task performance will be assessed using error rates and response times. Additionally, subjective workload and fatigue level will be assessed using NASA Task Load Index (NASA-TLX) questionnaire. Based on the three existing hypotheses and behavioral data, the second aim of the study is to construct three cognitive architecture ACT-R models, and by comparing different models to reflect potential mechanisms of the role of breaks in mind-wandering.

The potential cognitive benefits of mindfulness meditation, such as its effects on memory processes, are gaining increasing attention. The growing interest in mindfulness meditation as a technique to improve cognitive functions, particularly long-term memory, motivates this investigation. The purpose of this study is to determine how mindfulness meditation affects the individual’s rate of forgetting in long-term memory as practice days increase. Using a computational model of episodic memory fitted to data obtained from an adaptive memory test, the study is able to monitor and predict the rate of forgetting for each individual and acquire a deeper understanding of how mindfulness meditation influences individual differences in memory retention and retrieval. The study will recruit thirty healthy participants through the Psychology Subject Pool of the University of Washington. The participants will be randomly assigned to either a group that practices mindfulness meditation or a control group that engages in podcast listening. For six days, participants will complete online memory tasks before and after each mindfulness meditation session or podcast listening session, while their performance data will be analyzed to model the rate of forgetting. To assess the principal effects of mindfulness meditation on the rate of forgetting, statistical analyses, such as linear mixed models, will be employed. We hypothesized that participants who participate in mindfulness meditation will have a lower rate of forgetting than those in the control group who engage in podcast listening after six days. Moreover, the study also hypothesizes that participants engaging in mindfulness meditation will demonstrate a decreasing rate of forgetting as the number of practice days increases. The finding of this study may inform interventions using mindfulness to enhance memory retention, benefiting those with age-related cognitive decline or stress-related memory challenges. It contributes to understanding the potential of mindfulness in cognitive function and memory-related disorders.

Located in the Southern Pacific Ocean, American Samoa was formed nearly 400 thousand years ago due to hotspot volcanism. As these eruptions occur, ash and volcanic rock fragments settle and leave behind texture, roughness, and clast sizes that are identifiable using mapping techniques such as backscatter analysis. The 2024 Oceanography Senior Thesis cruise aboard the R/V Thomas G. Thompson, produced bathymetric and backscatter maps utilizing the Multibeam Kongsberg EA302 to identify the boundary of such deposits and the thickness of sediment that has been deposited on it, indicating relative age and formation of volcanic features on the seafloor. This study focused on the islands Ofu-Olosega and Ta’u, and we located several intact and exploded cinder cone. Sediment cores were collected to quantify the grain size of the basalt that erupted violently out of these hot spots. We hypothesized that the grain size would correlate with distance from the caldera, with larger clasts sinking closer to the eruption site, and fine sediment carried farther. This was found true, but there were also large grain sizes radiating away from the initial cinder cone site, indicating the presence of other eruptions on the seabed. Multiple landslides were documented on the southern and northeastern slopes of Olosega Island. These landslides display key features such as steep amphitheater headwalls, blocky ridges, and hummock aprons. The landslides were classified as either slumps or debris avalanches based on these characteristics and compared to other volcanic hotspot landslides within the Pacific region. We hypothesized failure deposits would be identifiable in the seabed up to 30 km away from the caldera, and found them to be graphically obvious for about 21 km.

One of the most prevalent issues in regenerative medicine is the impact of spinal cord injuries, as it can lead to an irreparable buildup of inhibitory scar tissue and, thus, paralysis. However, organisms such as Xenopus tropicalis tadpoles are able to regenerate their tails as soon as one week post-injury. By studying how they successfully regenerate, we can start to generate effective therapies for spinal cord medicine. I specifically want to know how quickly neurons populate the regenerating spinal cord and how this repopulation leads to functional motor recovery. To do this, I used the process of immunohistochemistry, where a fluorescent marker antibody binds to specific cells to create a fluorescent image for visualization purposes. First, I amputated around â…“ of their tail and created clutches of tadpoles stained for a neuron-specific protein. From my imaging, I noticed that the neurons populated the regenerating spinal cord by five days post-amputation (dpa). I became curious about how this regeneration rate impacted their ability to swim. To test this question, we set up a camera with a lightbox to set up Petri dishes of tadpoles. Then, I uploaded recordings of their swimming into a platform called ImageJ to use particle tracking to quantify the paths of each tadpole into measures such as distance, displacement, and velocity. Currently, we are trying to find other antibody markers that can provide more specific staining of neurons so the program can count them. With more specific staining, I hope to count the number of neurons over a set of zero, three, five, and seven dpa tadpoles. This project will help us answer foundational questions about how Xenopus tropicalis tadpoles regenerate functional neurons after injury.