Author(s): Amira Anwar
Mentor(s): Ozlem Dilek, Chemistry & Biochemistry
AbstractAuthor(s): Amira Anwar
Mentor(s): Ozlem Dilek, Chemistry & Biochemistry
AbstractAuthor(s): Trinity Lavenhouse
Mentor(s): Changwoo Ahn, Environmental Science and Policy Department
AbstractAuthor(s): Jessica Luther
Mentor(s): Lauren Kuykendall, Psychology
AbstractAuthor(s): Matthew Burdick
Mentor(s): Jerome Short, Psychology
AbstractSo this beats cancer risk. This beats smoking risk. This beats type two diabetes. If you can run fast and hard and you can lift heavy, you will likely live for a long time. Despite this, over 75% of adults in the United States fail to meet the national guidelines. So why is this the case? So our question was, what are the mental and physical factors that predict exercise and sitting behavior, especially in young adults?
And the way we attacked this question was we recruited over 200 Mason students who with a mean age of 20 years old, and we required them to wear smartwatch smart watches throughout a 29 day period. And now throughout that period we analyze their sort of different psychological and physical variables through questionnaire data.
And after that study we were able to run data analysis using SPSS.
So what predictors or did we examine in this study? So we examined sort of two classes of predictors that we hypothesized to be either protective or harmful to physical activity. So protective. We have meaning in life. So the sense that someone feels that they can engage purposefully in their day-to-day lives, sort of the antithesis to nihilism.
And now you have gratitude is gratitude can be a state and a trait so people can feel grateful. All of the time. Or they can have moments where they feel gr grateful, which is more of the trait like gratitude. Um, this questionnaire measures both the state and the trait, but it basically means how grateful are you or like how much gratitude do you have for your current situation despite all the negatives.
So it’s sort of like almost an optimistic worldview. We also have several risk factors, so perceived stress. Anxiety, somatic symptoms and depression. Somatic symptoms meaning bodily pain and aches.
So what do we hypothesize?
First things first, we hypothesize that the risk factors, so remember, that’s your perceived stress, anxiety, depression, and body pain. We predicted that that would be. Um, related to less exercise and more sitting. So for example, someone who is very anxious, we expect them to exercise less and sit more. And this is in line with the research.
Um, uh, alternatively, we think that the protective factors, so those are our median life and gratitude will be related to more exercise and less sitting. Finally, we predict that all these factors to both risk and protective factors will uniquely predict exercise in sitting. So that means that out of all the variables that we assessed in our study, we would think that the, all our protective and risk factors accountant for unique variants in our outcomes.
So what we observe. Our relationship between our predictors and outcomes is primarily attributed to our factors instead of some other confounding third variable. So what do we find? So first we found some pretty interesting information about our samples activity. So again, we have about 200 Mason students over 18 years old.
With a mean age of 20 years old, and we found that GMU students surpass Americans in meeting C to C guidelines. So that means that you can see in our figure here that almost 54% of American, or sorry, 54% of GMU students meet or exceed the national guidelines of activity. So the CD. C recommends that people, especially adults, more specifically.
Participate in at least 150 minutes. So two and a half hours of moderate intensity exercise per week, or the equivalent of vigorous activity. And so we found that in our sample over almost 54% of our students met or exceeded these guidelines. Whereas nationally, only 25% of American adults meet those guidelines.
So we’re almost twice as compliant. Compared to the average American, but this can be somewhat misleading because as you can see on our bottom bar here, the sedentary bar, almost 20% of GE students in our sample had zero minutes, zero minutes of activity per week. And so that was a cause for concern.
We found that meaning in life was negatively related to sitting time. So people who perceive that they have a purposeful engagement in their life, that they can traverse the day-to-day events of their life and feel like it has purpose. Those people tended to sit less throughout this 29 day period.
We also found that people who were physically active, especially within the moderate physical activity category, um, this uniquely predicted sitting time up to 29 days after baseline. So basically this was our big longitudinal finding that people who were. Especially active at day one of our study tended to sit less up to almost a month after baseline.
Additionally, we found that perceived stress and somatic pain were negatively related to vigorous activity and daily steps. So people who reported being more stressed and having more bodily pain, typically exercised less and walked less.
So exploratory analysis revealed some interesting results. So especially before examining the relationship between stress and vigorous activity. As you can recall, before we found that stress was negatively related to physical activity, but uh, exploratory analysis revealed that stress was not a unique predictor of vigorous activity, meaning that.
There’s something else accounting for that variance. And what we found was exercise satisfaction accounted for that variance in a bi-directional, fully mediated model. So what does that mean? It means that perceived stress has no relationship, uh, has at least no unique relationship with vigorous activity.
But when you include exercise satisfaction. It has a mediaing relationship so that, so in our first model here in Model A, we found that people who were stressed reported less exercise satisfaction and exercise satisfaction. Being a strong predictor of vigorous activity would increase vigorous activity.
So basically, people who were stressed had less as facts from exercising, and so were less likely to exercise. Additionally, this was bidirectional. So if you flip it on its head, it is also true. So vigorous activity has no unique predictive relationship with perceived stress, but when you add exercise satisfaction, vigorous activity can, is, can be associated with a lot of exercise satisfaction.
And in doing so since exercise satisfaction is, is, um, associated with less perceived stress. It can vigor activity, could then could lead to less perceived stress. I should state that this is cross-sectional data, so we’re not making a causal claim, but we did find a fully mediated cross-sectional model with these variables, some things to take away with you.
So median life is negatively related to setting time. So. If you can find a way to increase your perception of life being purposeful to you, that things aren’t meaningless, that your actions matter. If you can increase that, you may be able to sit less and improve your physical health. Um, being active, especially moderately active, decreases your risk of sitting for chronically amount, chronic amounts of time.
Uh, stress may reduce exercise satisfaction, which in turn would reduce your, um, vigorous physical activity and vigorous activity may raise exercise satisfaction. And finally, satisfaction is weigh in more vigorous activity. Thank you for listening. Have a good day.
Author(s): Diborah Gutema
Mentor(s): Theodore Dumas, Department of Psychology, Interdisciplinary Program in Neuroscience
AbstractNMDA receptors are ion channels located on neurons that allow calcium ions to enter the cell when activated by the neurotransmitter glutamate. This calcium signaling, known as ionotropic signaling, is critical for synaptic plasticity, learning, and memory. NMDA receptors can also engage in non-ionotropic signaling, where conformational changes in the receptor trigger internal signaling pathways without ion movement. Each receptor is composed of two GluN1 subunits and two GluN2 subunits. A developmental shift occurs where GluN2B subunits are gradually replaced by GluN2A, a transition essential for synapse maturation. Understanding how these subunits contribute to ion flow and conformational signaling is the focus of our project.
To investigate how different regions of NMDA receptor subunits contribute to signaling, we are working with chimeric GluN2 constructs developed by Dr. Dumas’s lab. These chimeras are engineered by swapping specific intracellular domains between the GluN2A and GluN2B subunits. In doing so, we can separate the functional contributions of individual regions, such as the intracellular tail, to ion flow and to non-ionotropic signaling. By studying receptors with these controlled domain swaps, we aim to determine which portions of the subunit structure are responsible for differences in calcium permeability, activation properties, and downstream signaling. This semester, we focused on preparing the DNA constructs necessary for expressing these receptors in Xenopus laevis oocytes for future functional testing.
The overall goal of this project is to express wild-type and chimeric NMDA receptors in Xenopus laevis oocytes and compare their ionotropic signaling properties using two-electrode voltage clamp recordings. By analyzing how domain swaps between GluN2A and GluN2B affect receptor function, we aim to better understand the molecular basis of NMDA receptor signaling. This semester, we focused on preparing high-quality plasmid DNA, optimizing restriction digests, and initiating PCR amplification of the GluN2 receptor inserts to prepare for future subcloning and expression studies.
First, upon receiving the plasmid pGEMHE-membrane-mEGFP, we transferred a sample from the backstab into a 3 mL bacterial culture, which was incubated overnight at 37 degrees Celsius for 16 to 24 hours. The plasmid includes a Xenopus laevis promoter sequence, which enables later expression in oocytes. Following incubation, we isolated and purified the plasmid DNA from the bacterial culture using a alkaline lysis mini prep protocol. To ensure the integrity and purity of the plasmid, we assessed DNA quality using agarose gel electrophoresis to check for intact plasmid structure and spectrophotometry to measure the 260/280 absorbance ratio.
Next, we performed restriction digests to prepare the plasmid for future subcloning. We used the enzyme NheI to linearize the plasmid and carried out diagnostic digests to prepare for the later excision of the GFP segment originally present in the vector.
In parallel, we grew bacterial cultures containing the DNA for GluN2A, GluN2B, ABc, and BAc constructs. Using these templates, we initiated PCR amplification with construct-specific primers to selectively amplify the inserts. PCR amplification is currently ongoing. Once complete, we will purify the amplified products and verify insert size by gel electrophoresis before moving on to the next phase of subcloning.
After the inserts are fully amplified and purified, we will digest them with restriction enzymes to create compatible ends with the plasmid vector. We will then use a DNA ligase enzyme to join the inserts and vector together, creating new plasmids that carry either the wild-type or chimeric NMDA receptor sequences. Some ligation reactions will be performed in-house, while others may be sent for commercial cloning depending on efficiency. Sequence verification will follow to confirm successful ligation.
Following sequence confirmation, we will synthesize capped RNA transcripts from the recombinant plasmids using in vitro transcription. These RNA molecules will then be injected into individual Xenopus laevis oocytes, allowing the cells to produce functional NMDA receptors for electrophysiological testing.
Two to three days after RNA injection, we will perform two-electrode voltage clamp recordings, a technique that holds the membrane potential constant while measuring ionic currents. By applying glutamate and glycine, we will evaluate receptor function based on current amplitudes, activation and deactivation kinetics, and dose-response characteristics. Comparing wild-type and chimeric receptors will help us determine how specific subunit regions influence NMDA receptor ionotropic signaling.
This semester, we focused on growing bacterial cultures, isolating and purifying plasmid DNA, troubleshooting purification and digestion protocols, and beginning PCR amplification of the NMDA receptor inserts. These steps are critical for setting up RNA synthesis, oocyte injection, and functional testing. Moving forward, we aim to complete subcloning, synthesize RNA, and characterize receptor function using TEVC recordings.
I’d like to take a moment to thank those who have been instrumental in this project.
Dr. Herin who has been an invaluable mentor in electrophysiology and molecular biology.
Dr. Dumas who has provided expert guidance on receptor signaling and chimeric constructs.
Hannah Zikria-Hagemeier who was essential in training me on plasmid preparation.
Finally, I’d like to thank the rest of the PBNJ Lab for their collective support through guidance and resources, which has been key to my growth as a researcher.
Thank you all for your help and support!
Author(s): Layla Hasanzadah
Mentor(s): Purva Gade, Center for Applied Proteomics & Molecular Medicine
AbstractHere you can see some images of me working in the lab: doing cell culture, running Western Blots, and observing my pancreatic cancer cells.
My project produced some very interesting results. I compared the relative concentrations of p53, the tumor suppressor protein, and PINK-1, the mitophagy-associated signalling molecule, and found that there is a very high and positive correlation between the export of PINK-1 p-p53 via EVs when oxidative stress is induced, indicating that p53 is degraded and exported alongside PINK-1 in EVs.Exported p53 may aid tumor progression and constitute a novel diagnostic method of non-invasively determining the mitochondrial health and p53 status within PC. PC EVs positive for phospho-p53 represent a novel diagnostic biomarker indicative of tumor stress. Targeting EV pathways in combination with oxidative stress could be a novel method of treating PC. Our lab is currently investigating if secretory mitophagy & EV export of tumor suppressors is common among other kinds of cancer, as well.
We recently published a paper on the topic of secretory mitophagy, but again, we hope to connect secretory mitophagy to the export of other tumor suppressors in future studies.
I wanted to thank my mentors and colleagues at the Center for Applied Proteomics and Molecular Medicine for their continued guidance and support, including the following people: Purva Gade, my direct mentor, Dr. Lance Liotta, Dr. Marissa Howard, Sofie Strompf, Angela Rojas, and Thomas Philipson.
I would also like to thank the GMU OSCAR URSP program and Dr. Karen Lee, as I received funding and guidance from OSCAR throughout the past semester.
Thank you very much for listening to my presentation!
Author(s): Timothy Kochany
Mentor(s): Jane Flinn, Psychology
AbstractAuthor(s): Armita Dadvar
Mentor(s): Sabine Doebel, Psychology
AbstractAuthor(s): Jasmine Mendoza
Mentor(s): Jane Flinn, Psychology
AbstractTo begin, I’d like to define some key terms in my project. Alzheimer’s Disease is a neurodegenerative disease that affects learning and memory. Late-onset Alzheimer’s Disease is typically diagnosed in individuals age 65 and up, while early-onset Alzheimer’s Disease, which is much less common, is typically diagnosed in individuals below the age of 65.
Brain-derived neurotrophic factor, or BDNF, is an essential protein for learning and memory, as it promotes neuronal growth and plasticity. In contrast, Apolipoprotein E, or APOE for short, is a protein that helps metabolize fats, and there are three different alleles of the APOE protein. There’s APOE2, APOE3, and APOE4, with APOE4 being commonly associated with late-onset Alzheimer’s Disease, and it’s considered a high risk-factor for the disease.
Finally, the two key biological components of Alzheimer’s Disease are the peptide amyloid beta, or Abeta, which accumulates into plaques, and a version of the protein tau which has an excessive amount of phosphate groups attached to it, which is referred to as hyperphosphorylated tau, or p- tau, and this hyperphosphorylation causes it to accumulate into tangles.
The previous literature on Alzheimer’s Disease has largely found that APOE4 has detrimental effects on AD patients, usually exacerbating the cognitive deficits associated with the disease. For instance, the dual pathway hypothesis proposed by Small & Duff suggests that the accumulation of Abeta and p-tau happens independently but still parallel to each other, which eventually leads to neuronal death and cognitive decline, and that this accumulation may be facilitated by APOE4. Likewise, APOE4 has been found to reduce BDNF levels, which results in more severe cognitive deficits, as BDNF is a neuroprotective protein, therefore the reduced amounts of it are associated with more severe cognitive deficits, as found by Laske et al. in 2011. However, a recent study done by a graduate student who is also in my mentor’s lab, found results that suggest APOE4 and Tau may play a neuroprotective role when they are not in the presence of Abeta. The current literature has not yet examined how APOE4 and Tau interact with BDNF in the absence of Abeta, so this study aims to address that gap in the literature, and is also a continuation of that 2024 study by Booth in my mentor’s lab.
So, because this study is a continuation of the previous Booth study, the brains used come from mice that were separated into four different genotype groups and two different metal ion supplement groups, as those were the groups used in the Booth 2024 study. The four different genotype groups are those with APOE4, those with Tau, those with both APOE4 and tau, and wild type mice without either APOE4 or tau. The two metal ion supplement groups are those with zinc and those without any metal ion supplement. So, this study will use Western Blots, which is a technique which targets specific proteins and isolates them from other proteins in biological samples. And, the proteins are targeted through the use of antibodies which bind to the target protein and are prevented from binding to any other proteins by a process called gel electrophoresis. The primary antibodies that we’ll be using in this study are BDNF, of course, and Glyceraldehyde 3-phosphate dehydrogenase, or GAPDH, which will be used as a loading control. The secondary antibody will be mouse anti-rabbit, which will bind to the primary antibody and make it easier to visualize and quantify BDNF. And then the data will be analyzed in SPSS. As for the possible implications of this study, the findings of Booth (2024) were unlike those of previous studies examining the effects of APOE4 in Alzheimer’s Disease, as most previous studies, as we’ve discussed, have found negative effects of APOE4, while the results of his study actually found a possible neuroprotective effect that APOE plays. In his study, Booth does suggest that the ages of the mice used may have been a mediating factor in this effect, because the mice were younger, so it’s possible that APOE4 only plays a neuroprotective role in younger individuals. Thus, a future study could possibly examine the effects of APOE4 on BDNF in different age groups. Nonetheless, what we are hoping to find with this study is more information on the interaction of APOE4, Tau, and BDNF in Alzheimer’s Disease mice, which could eventually lead to new possible treatments involving APOE4 and Tau.
Finally, I would like to thank my mentor, Dr. Jane Flinn, as well as everyone in the Flinn lab, and I would also like to thank Dr. Karen Lee and URSP as a whole for providing funding and guidance throughout this project.
And here are my references. Thank you for your time, and I hope you enjoyed hearing about my study.
Author(s): Muhammad Shah
Mentor(s): Holger Dannenberg, Interdisciplinary Program in Neuroscience
The recent development of the fluorescent ACh sensor GRABACh3.0 enables real-time
measurement of cortical ACh activity in animal models. Using this sensor, we aim to
quantify the temporal dynamics of ACh release in the CA1 region during free-roaming
behavior in mice. To accomplish this, we will perform a stereotaxic injection of an
adeno-associated virus (rAAV) encoding GRABACh3.0 into CA1, followed by
implantation of an optic fiber above the injection site to permit fluorescence-based
recording via fiber photometry.
After allowing two weeks for sensor expression, a fiber photometry system will be used
to deliver constant excitation light specific to the sensor and record resulting
fluorescence during 15-minute free-roaming trials in a novel boxed environment.
Simultaneously, mouse velocity will be estimated using DeepLabCut, a markerless AI-
based pose estimation tool. Fluorescence signals will be synchronized with velocity data
to assess their temporal relationship.
Preliminary data revealed a positive correlation (r = 0.60) between ACh sensor
fluorescence and mouse velocity during free-roaming trials—a relationship consistent
with prior literature, supporting the validity of our recorded ACh signal. Next, we aim to
replicate this model and examine ACh release in CA1 during behavioral assays of
novelty and familiarity, to further investigate the neuromodulatory role of ACh in spatial
encoding.
My name is Muhammad, and my project is “Using a Novel In-Vivo Acetylcholine Sensor, GRABACh3.0, to Quantify the Temporal Dynamics of Acetylcholine (ACh) release in the Cornu Ammonis 1 (CA1) Hippocampus Sub-Region.”
In 1971, John O’Keeffe, a Nobel Prize winning neuroscientist, probed the electrical activity of hippocampal CA1 pyramidal neurons with electrodes in mouse models. He noticed that as the mouse traversed the environment, certain populations of neurons would increase firing rates in select regions of the box, which is now known as spatially tuned firing.
Discovery of these cells offered a new insight into how individual neurons encode space, and these CA1 neuron types would cleverly be named place cells! With this discovery came renewed interest in understanding the place cells within the CA1 region, with the goal of further uncovering the mechanisms of spatial cognition to inform future treatments for spatial amnesia in patients with, for example, Alzheimer’s disease.
Recently, it was discovered through retrograde tracing that Acetylcholine or ACh is released into CA1 region from distant cholinergic afferents from the medial septum. It is believed that these cholinergic afferents play a role in either directly stimulating place cells or stimulating other surrounding interneurons to inhibit place cells in the CA1 region.
Based on the multimodal modulation of place cells by ACh, understanding the release dynamics of ACh in real-time within the CA1 during behavior is of great interest.
To accomplish this, we used a novel ACh sensor called GRABACh3.0. Its major feature of interest is its binary nature, where it is capable of emission when ACh is bound but is incapable of emission when ACh is not bound. Thus, by using this sensor, the real-time neurodynamics of ACh within neuronal circuits can be observed.
To express the ACh sensor in mouse models, it is first packaged into a viral vector and then injected into the CA1 region, as seen here. We were able to confirm the expression of the sensor through immunohistology, shown here.
A fiber optic receiver is then implanted into the same location within the CA1 as the virus injection to measure the expressed ACh sensor. Then, a fiber photometry system is used to stimulate the sensor. Fiber photometry is a powerful technique that allows both excitation light, specific to the sensor, and control light to be transmitted through the same wire into the mouse fiber optic. It also allows, from the same input wire, to receive and record any resulting emission from either excitation or control light source, respectively, thus separating their influence on fluorescence within the sample. The fluorescence data is then converted into an electric signal using a phototransducer within the system.
Here is the system on the left where you can see both of the excitation cords that go into the sample and the emission cord coming back from the sample. We record fiber data for 15 minutes in a boxed environment. We also sync the fiber system with a bird’s eye video recording of the mouse to see how ACh levels correlate with the velocity of the mouse during the free roaming trials.
This correlation is found between ACh levels and velocity data to confirm whether we truly see an ACh signal from the mouse, as prior literature has established this positive correlation. After subtracting the control signal from the ACh signal and finding the velocity data using an AI markerless pose estimator, DeepLabCut, we obtained these preliminary results.
The graphs on the left show the isolated ACh signal, the velocity data, and their superimposition. Zooming in, we can see at specific time points when the animal increases its running speed, as marked by the arrows, that ACh activity tends to increase along with it. Furthermore, the overall correlation between the two variables was 0.60, which is very unlikely to be due to chance, especially over almost 45000 data points.
These findings were very exciting, but we face the next challenge of getting replicable results. The current findings come from our most recent and successful mouse, which resulted from a series of trial and error from previous mouse models using the sensor, as it is our lab’s first time using this specific sensor within the CA1. We are currently waiting on a new cohort of mice to see if we can consistently get results similar to those seen recently.
If we achieve consistency, we hope to use our standardized procedure and combine it with other techniques, such as optogenetics or spatial behavioral assays, in the future.
I want to give a big thank you to URSP for funding, Dr. Holger Dannenberg for his mentorship, and the Spatial Cognition Lab team for their support—this project would not have been possible without them.
Author(s): Bryce Sullivan
Mentor(s): Theodore Dumas, Neuroscience
Abstract
Audio Transcript
The hippocampus, named after its seahorse-like shape in humans, is an essential brain structure for spatial learning and memory in adults. Development of the hippocampus occurs in the late postnatal period and coincides with the emergence of adult-like spatial learning and memory abilities at around three years of age in humans, or three weeks of age in rodents.
Synapses are the electrochemical junctions between neurons that allow for neural circuits to be built and to process information. The ability of excitatory synapses in the hippocampus to alter their function with new experiences and create neural substrates of memories is referred to as synaptic plasticity.” The final maturation process of the hippocampus involves modifications in synaptic plasticity.
In our lab, we study the NMDA receptor, NMDARs, which are essential for activity-dependent plasticity at excitatory synapses. The prominent forms of synaptic plasticity induced by NMDAR activation are long-term potentiation, LTP, and long-term depression, LTD. So, when a synapse is activated at high frequencies, NMDARs respond by sending signals to strengthen that synapse, which is LTP. However, when a synapse is activated at lower frequencies, NMDARs send a signal to weaken that synapse, which is LTD.
NMDARs are ion channels that allow calcium to enter the activated cell. It is well known that calcium activates synaptic plasticity processes. However, in 2013, it was discovered that NMDARs produce signals that are not related to calcium, that are mediated by the intracellular portion of the NMDAR subunits.
To study separate influences of calcium-dependent and calcium-independent signals, our lab created chimeric NMDAR subunits. I am using mice that express chimeric NMDAR subunits to investigate which NMDAR signaling pathways underlie the development of LTD. My electrophysiological recordings take place on postnatal day (or P) 17 to 19 and P22 to 24. These two age groups represent the immature hippocampus (younger than three postnatal weeks) and the mature hippocampus (older than three postnatal weeks).
My project’s primary three methodologies consist of genotyping, hippocampal slice prep, and hippocampal slice recordings of field excitatory post-synaptic potentials (fEPSPs) in CA1. Genotyping consists of taking small tail snips of our mice, DNA precipitation to isolate a DNA sample from that tail, running a polymerase chain reaction (or PCR) to isolate and amplify our chimera genes (if present), and then running a gel electrophoresis to find their genotype.
Hippocampal slice preparation is as it sounds; sacrificing the mouse, dissecting and isolating the hippocampus, and cutting the hippocampus into slices that are about a half a millimeter thick. These slices can be maintained alive in a recording chamber for many hours.
To record from hippocampal slices, we use two electrodes as this sample image (A) shows here. The bipolar electrode here is a platinum-iridium wire that activates the input neurons that project to area CA1. Synaptic responses are recorded in area CA1. The waveform in B represents an excitatory synaptic potential. The dotted line shows how we measure the slope of this response.
When LTP is induced, the EPSP gets larger. When LTD is induced, the EPSP gets smaller. For our LTD protocol, we use a 1Hz stimulation for 15 minutes.
It is well known that low frequency stimulation elicits LTD to a greater extent in immature mice. However it is not known if this reduction in LTD with increasing age is due to changes in calcium-dependent or calcium-independent NMDAR signaling. Performing LTD experiments in mice that express chimeric NMDAR subunits allows for testing of these two different possibilities.
I would finally like to thank OSCAR for providing me funding for my project with the URSP program and Dr. Dumas along with the rest of the PBNJ lab for their support and mentorship. This is not the present PBNJ lab, but I felt as though this photo from before 2015 was appropriate
And here are my references
Author(s): Alisha Jane Hiskey
Mentor(s): Martin Wiener, Neuroscience
Abstract
Audio Transcript