Neuroscience and Neurobiology Commons^™

How Sensory Exploration Using Expressive Arts Provides A Cohesive Experience For Children With Multiple Diagnoses, Chanelle Goguen

Expressive Therapies Capstone Theses

This thesis looks at the potential benefits and cohesive experience of sensory exploration for children with multiple diagnoses through a trauma informed lens. The researcher was inspired by Prendiville’s (2021) idea of how interactive sensory exploration and art making can help foster and develop reciprocal communication and socio-affective relationships influenced the researcher to design a method that would be used to collect data about potential similar findings. In the method, the interaction of the sensory-specific art mediums were reflected through the expressive therapies continuum (ETC) framework. The research of this thesis acknowledges and explores how trauma and adverse childhood experiences …

Towards A New Role Of Mitochondrial Hydrogen Peroxide In Synaptic Function, Cliyahnelle Z. Alexander

Student Theses and Dissertations

Aerobic metabolism is known to generate damaging ROS, particularly hydrogen peroxide. Reactive oxygen species (ROS) are highly reactive molecules containing oxygen that have the potential to cause damage to cells and tissues in the body. ROS are highly reactive atoms or molecules that rapidly interact with other molecules within a cell. Intracellular accumulation can result in oxidative damage, dysfunction, and cell death. Due to the limitations of H₂O₂ (hydrogen peroxide) detectors, other impacts of ROS exposure may have been missed. HyPer7, a genetically encoded sensor, measures hydrogen peroxide emissions precisely and sensitively, even at sublethal levels, during …

The Effect Of Novel Microtubule Modulators On Experimental Lewy Body Disease, Anuj S. Jamenis

Electronic Theses and Dissertations

In Lewy body disorders, α-synuclein aggregates are believed to destabilize the microtubular framework. However, microtubules are a challenging therapeutic target, as excessive rigidity or flexibility afforded by microtubule modulators may be neurotoxic. Thus, the objective of the present study was to evaluate dual-acting microtubule- stabilizing/destabilizing agents in cellular and animal models of early-stage Lewy body disease.

In Aim 1 we tested the dual-acting tricylic pyrimido[4,5-b]indole analogs AG161-47 and AG161-41 in an in vitro preformed fibril induced model of Lewy body disease. We found that both compounds reduced preformed fibril-seeded α-synucleinopathy without toxicity in primary hippocampal cultures. AG161-47 subtly impacted microtubule …

Astrocyte Spatial Distribution Affects Growth Dynamics Of Breast Cancer Brain Metastases: An Agent-Based Modeling Study, Rupleen Kaur

Biology and Medicine Through Mathematics Conference

No abstract provided.

Fusing Classic Motion Energy Models And Deep Learning For Coarse-To-Fine Moving Object Segmentation, Matthias Tangemann, Matthias Kümmerer, Matthias Bethge

MODVIS Workshop

Classic motion energy models are able to predict a wide range of physiological and behavioral aspects of motion perception in humans. Whether these models can be used as a basis for higher-level tasks, such as moving object segmentation, has however hardly been explored yet. Here, we present a model that combines a motion energy representation with recent computer vision approaches for figure-ground segmentation of naturalistic stimuli. We find that unlike established motion segmentation models but similar to humans, our model generalizes to random-dot stimuli when only trained on RGB videos.

Perceptual Grouping With Latent Noise, Ben Lonnqvist, Zhengqing Wu, Michael H. Herzog

MODVIS Workshop

Humans effortlessly group elements into objects and segment them from the background and other objects without supervision. For example, the black and white stripes of a zebra are grouped together despite vastly different colors. A thorough theoretical and empirical account of perceptual grouping is still missing – Deep Neural Networks (DNNs), which are considered leading models of the visual system still regularly fail at simplistic perceptual grouping tasks. Here, we propose a counterintuitive unsupervised computational approach to perceptual grouping and segmentation: that they arise because of neural noise, rather than in spite of it. We show that adding noise in …

Facilitation In Pattern Motion Perception Of Self-Operated Stimuli Explained By Adaptive Contrast Normalization, Fulvio Missoni, Francesca Peveri, Andrea Canessa, Giulia Sedda, Vittorio Sanguineti, Silvio P. Sabatini

MODVIS Workshop

Movement can affect the way we make sense of complex visual information. To investigate this issue, we designed an experiment to assess changes of plaid motion perception threshold after a period of sensorimotor contingency experience. We found that movement training facilitates combination of elementary motion cues into a global motion percept. No changes in perceptual thresholds are observed in a passive visual condition. A Bayesian model suggested a reduction, after training, of the cross-talk between two gratings with unbalanced contrasts in corresponding sensory channels. To test plausible neural mechanisms for active reduction of cross-talk in cortical representation of complex visual …

Modeling Human Temporal Eeg Responses To Vr Visual Stimuli, Richard R. Foster, Connor Delaney, Dean J. Krusienski, Cheng Ly

Biology and Medicine Through Mathematics Conference

No abstract provided.

Normalization With Dynamic Weights Predicts Neural And Behavioral Effects Of Orientation Adaptation, Huseyin Boyaci

MODVIS Workshop

Prolonged exposure to an oriented contour causes adaptation and has nontrivial effects on neural activity and perception. For example, the neuron's response amplitude may change (suppression or facilitation), the width of its tuning curve may change (broadening or sharpening), and its preferred orientation may shift (repulsion or attraction). Perceptually, adaptation affects the perceived orientation of a subsequently presented contour (direct and indirect tilt aftereffect) and alters orientation discrimination thresholds. In this study, I show that the normalization model with dynamic weights can predict these empirical results.

Local Geometry Of Elementary Visual Computations, Peter Neri

MODVIS Workshop

Visual operators (e.g. edge detectors) are classically modelled using small circuits involving canonical computations, such as template-matching and gain control. Circuit models explain many aspects of the empirical descriptors that are used to characterize local visual operators, from sensitivity to classification images. Notwithstanding their utility, these models fail to provide a unified framework encompassing the variety of effects observed experimentally, such as the impact of contrast, SNR, and attention on the above descriptors. My goal is to start with a simple, plausible geometrical representation of the perceptual operation carried out by the observer, and to show that this representation is …

Do Mechanisms Of Sinusoidal Contrast Sensitivity Account For Edge Sensitivity?, Lynn Schmittwilken, Felix A. Wichmann, Marianne Maertens

MODVIS Workshop

No abstract provided.

Parkinson's Disease - Association With Anxiety, Depression, And Sleep Disorders, Isabella J. Boroje

Doctoral Dissertations and Projects

Parkinson’s disease (PD) is a progressive neurological disorder presenting with motor symptoms, such as tremors at rest, bradykinesia, rigidity, and gait instability, and non-motor symptoms, such as anxiety, depression, excessive daytime sleepiness (EDS), and REM Sleep Behavior Disorder (RBD). The purpose of this study was to examine the associations of anxiety, depression, and EDS scores with being Prodromal (PPD) - at risk of developing the disease (PPD), having been diagnosed with PD, or being a Healthy Control (HC) using a multinomial logistic regression model. Additional analysis examined RBD scores and their difference across PPD, PD, and HC cohorts. The study …

Spike Timing-Dependent Plasticity And Synaptic Scaling Invoke Episodic Bursting In An Excitatory Recurrent Neuronal Population, Ryno Chen, Gregory D. Conradi Smith

Biology and Medicine Through Mathematics Conference

No abstract provided.

Characterization Of Perceptual Spaces From Triadic Similarity Judgments, Jonathan Victor

MODVIS Workshop

Perceptual spaces are mental workspaces that organize a sensory or cognitive domain into a format that supports functions such as comparison, grouping, learning, and generalization. Determining the geometry of a perceptual space – i.e., the properties of the perceptual distances within the space -- is thus crucial not only to understand these intermediate levels of processing at an algorithmic level, but also as a starting point for comparison with neural measures of similarity. While perceptual spaces are often taken to be Euclidean or nearly so (the classic example is trichromatic color space), this assumption, when tested, is often violated. Moreover, …

A Foveated Model Of Visual Discrimination Based On Windowed Texture Statistics, Jan W. Kurzawski, William F. Broderick, Eero P. Simoncelli, Jonathan Winawer

MODVIS Workshop

Most information from visual scenes is discarded by the human nervous system and thus cannot influence visual behavior. Here, we investigated the loss of spatial pattern information. This loss increases dramatically with eccentricity. Recently, models have been developed that average image features in pooling windows whose diameters scale with eccentricity. These models can be used to synthesize “metamers” of natural scenes, images which are physically different but perceptually indistinguishable. Psychophysical experiments have identified the maximum window scaling for which model discrimination abilities match human performance (“critical scaling”). If images are synthesized with pooling windows that exceed critical scaling (“supercritical scaling”), …

Dissecting Bayes: Using Influence Measures To Test Normative Use Of Probability Density Information Derived From A Sample, Laurence T. Maloney, Keiji Ota

MODVIS Workshop

Bayesian decision theory (BDT) is used to model human performance in tasks where the decision maker must compensate for uncertainty in order to gain rewards and avoid losses. BDT prescribes how the decision maker can combine available data, prior knowledge, and value to reach a decision maximizing expected winnings. Do human decision makers actually use BDT in making decisions? Researchers typically compare overall human performance (total winnings or overall percent correct) to the predictions of BDT but we cannot conclude that BDT is an adequate model for human performance based on just overall performance. We break BDT down into elementary …

Explaining The Staircase Gelb Illusion, Simultaneous Contrast, And Perceptual Fading Of Stabilized Images With A Neural Model Driven By Fixational Eye Movements, Michael E. Rudd

MODVIS Workshop

A neural model of lightness computation driven by fixational eye movements is described and used to simulate various lightness phenomenon, including the Staircase Gelb illusion and its variants, simultaneous contrast, the Chevreul illusion, and perceptual fading of stabilized images. The model provides a precise account of the lightness matches from several experiments, with an overall error of only 1.5%. In the model, spatial maps of transient ON and OFF cell activations—produced as the eyes traverse the visual scene—are sorted by eye movement direction in visual cortex. At a subsequent processing stage, the activations within these maps are summed across space …

Comparing Executive Control: Bilingualism's Cognitive Advantage, Malcolm Jasmin, Tonya Buchanan Ph.D.

Symposium Of University Research and Creative Expression (SOURCE)

The Stroop Task is a widely used method for studying executive control. It helps to understand cognitive processes like inhibition and attentional regulation to examine how reading text and naming colors can interfere with each other. The study intends to use the Stroop Task to explore the executive control abilities of both bilingual and monolingual individuals. Previous research has shown that bilingual individuals perform better in the Stroop test compared to those who only speak one language (Bialystok et al., 2010). The impact of this advantage is believed to be due to the need to switch between languages and prevent …

Age-Related Brain Atrophy And The Positive Effects Of Behavioral Enrichment In Middle-Aged Beagles., Jessica A Noche, Hamsanandini Radhakrishnan, Margo F. Ubele, Kathy Boaz, Jennifer L Mefford, Erin D Jones, Hollie Y Van Rooyen, Jessica A Perpich, Katie Mccarty, Beverly Meacham, Jeffrey R. Smiley, Stasia A Bembenek Bailey, László G Puskás, David K. Powell, Lorena Sordo, Michael J Phelan, Christopher M. Norris, Elizabeth Head, Craig E L Stark

Neuroscience Faculty Publications

Aging dogs serve as a valuable preclinical model for Alzheimer's disease (AD) due to their natural age-related development of β-amyloid (Aβ) plaques, human-like metabolism, and large brains that are ideal for studying structural brain aging trajectories from serial neuroimaging. Here we examined the effects of chronic treatment with the calcineurin inhibitor (CNI) tacrolimus or the nuclear factor of activated T cells (NFAT)-inhibiting compound Q134R on age-related canine brain atrophy from a longitudinal study in middle-aged beagles (36 females, 7 males) undergoing behavioral enrichment. Annual MRI was analyzed using modern, automated techniques for region-of-interest-based and voxel-based volumetric assessments. We found that …

Analysis And Computation Of Constrained Sparse Coding On Emerging Non-Von Neumann Devices, Kyle Henke

Mathematics & Statistics ETDs

This dissertation seeks to understand how different formulations of the neurally inspired Locally Competitive Algorithm (LCA) represent and solve optimization problems. By studying these networks mathematically through the lens of dynamical and gradient systems, the goal is to discern how neural computations converge and link this knowledge to theoretical neuroscience and artificial intelligence (AI). Both classical computers and advanced emerging hardware are employed in this study. The contributions of this work include:

1. Theoretical Work: A comprehensive convergence analysis for networks using both generic Rectified Linear Unit (ReLU) and Rectified Sigmoid activation functions. Exploration of techniques to address the binary …

Integrating Higher-Order Cognition With Sensory Experience: Insights From Cue-Based Expectations Across Diverse Domains, Heejung Jung

Dartmouth College Ph.D Dissertations

Higher-order cognition, such as expectations about the future, cannot be studied in isolation from sensory representations. This thesis explores the dynamic interplay of higher-order cognition and sensory experiences, examining the important role of expectations across multiple domains: sensory, cognitive, and affective. First, a systematic review outlines the origins of higher-order cognitive functions – e.g., social interaction, memory, and attentional control – and how they arise at the convergence of hierarchically organized gradients that extend from primary sensory areas. These convergence zones are rich in information crucial for the human capacity for making projections, such as thinking about another person’s mental …

Inflammaging In The Alzheimer’S Brain And Beyond: Insights From A Transgenic Mouse Model On The Sex-Specific Pathophysiology Of Alzheimer’S Disease, Alicia Jeanne Barber

Dartmouth College Ph.D Dissertations

Aging and sex are major risk factors for developing late-onset Alzheimer’s disease. Compared to men, women experience worse neuropathological burden and cognitive decline despite living longer with the disease. Similarly, male 3xTg-AD mice, developed to model Alzheimer’s disease, no longer consistently exhibit standard Alzheimer’s neuropathology yet experience higher rates of mortality - providing a unique opportunity to further elucidate this dichotomy. We hypothesized that sex differences in the biological aging process yield distinct pathological and molecular Alzheimer’s disease signatures in males and females, which could be harnessed for therapeutic and biomarker development.

We aged male and female, 3xTg-AD and B6129 …

Unveiling The Nexus Of Cellular Quality Control: Exploring The Interplay Between Ribosome-Associated Protein Quality Control And Mitochondrial Quality Control Pathways, Foozhan Tahmasebinia

Biological Sciences Theses and Dissertations

In eukaryotic cells, the intricate interplay between cellular quality control mechanisms is crucial for maintaining homeostasis and safeguarding the integrity of vital processes, spanning from macromolecule synthesis to the renewal of entire cellular organelles.

Disruption of these networks can lead to severe diseases such as metabolic disorders, underscoring the interconnected nature and feedback control mechanisms inherent in biological systems, including cellular quality control systems. This interconnectedness extends to the intricate communication between organelles, enabling coordinated functioning and adaptation to changing cellular conditions, particularly in response to stressors.

While the exact mechanisms governing these communications within cellular quality control systems remain …

Screen For Beneficial Genetic And Chemical Modifiers In Drosophila Models Of Als And Traumatic Brain Injury, Will Bonderer

Biological Sciences Theses and Dissertations

The underlying molecular processes of aberrant protein expression in neurodegeneration are intricate and multifaceted, with ribosome-associated quality control (RQC) emerging as a promising avenue of exploration. Ribosome-associated quality control is integral to cellular function. Its evolutionarily conserved pathway encompasses a network of mechanisms designed to ensure the fidelity of protein synthesis, folding, and degradation within the cells of all eukaryotes. The ribosome, central to protein synthesis, plays a pivotal role in this quality control network, and its malfunction can lead to the accumulation of misfolded or aberrant proteins. In the context of neurodegenerative disorders, this dysfunction can have dire consequences. …

Early Developmental Exposure To Δ9-Tetrahydrocannabinol Causes Latent Behavioral, Growth, And Bioenergetic Effects In Danio Rerio, Astra Hahm

Honors Theses

Early developmental exposure to Δ9-tetrahydrocannabinol causes latent behavioral, growth, and bioenergetic effects in Danio rerio

(Under the direction of Dr. Kristine Willett)

Δ9-tetrahydrocannabinol (Δ9-THC) is used during pregnancy to mitigate symptoms such as nausea, pain, and insomnia. It is established that Δ9-THC exposure early in life causes adverse effects in children’s development including behavioral disorders. Our goal was to determine the latent and generational impacts on growth, behavior, and mitochondrial bioenergetics following exposure to Δ9-THC. Wildtype (5D) zebrafish were exposed to 0 (0.05% DMSO), 0.08, 0.4, or 1 µM Δ9-THC from 6-96 hours post-fertilization (hpf), then subsequently raised in clean …

Neuroscience Educational Interventions For Mental Health Management Within The Neurodiverse Population: A Working Model, Kadi Rae Smith, C.K. Miller, Bill Griesar, Jeff Leake

Student Research Symposium

Sociological and environmental factors such as economic disparity and cultural marginalization hinder access to educational and medical resources and must be taken into account to ensure accurate diagnoses, effective self-regulation and mental health management for neurodiverse individuals, and offset disparities in access to healthcare and education. Arbitrary attachment of stigma to traits commonly associated with neurodivergence perpetuate neuro-myths1 that have dire consequences when internalized, informing individuals’ development and sense of self. Neuroscience outreach done by NW Noggin is an active model for engaging communities with limited resources and a greater need for services to offset economic disparity. Integrated arts programming …

Evaluation Of Sleep Outcomes After Traumatic Brain Injury In Children Using Questionnaires And Actigraphy, Connie Tran, Sydney Weese, Cydni Williams Md

Student Research Symposium

Traumatic brain injuries are the result of a sudden external blunt force to the brain and can result in long-term complications or death. In pediatrics, it is the leading cause of acute and chronic sleep wake disturbances, as well as cognitive deficits, which can lead to a reduction in the quality of life. These impairments can later result in lowered performance in work and school settings or decreased psychosocial function. Although there is sufficient evidence that traumatic brain injuries contribute to is that it is unknown whether or not sleep wake disturbances contribute to an increase in the mentioned cognitive …

Understanding The Importance Of Social Emotional Learning In Children And The Link Between Mental Health, Lynette Marie Lubiak

Student Research Symposium

I will examine how very important it is to society to teach structured Social Emotional Learning (SEL) programs to children in school. It can bring mental wellbeing and the ability to have healthy relationships, non addictive behaviors and being able to emotionally regulate themselves. Since we have pushed on only academia and not SEL for our children, mental illness has skyrocketed. This problem started after the SEL part of school was taken out of schools and then the division between rich and poor became wider and wider as time went on. If we were to bring back SEL into school, …

Immunopathogenesis Of Post-Infectious Hydrocephalus, Sascha Powers Bernier

Honors Scholar Theses

Hydrocephalus is characterized by the abnormal accumulation of cerebrospinal fluid (CSF) within the brain ventricles. In post-infectious hydrocephalus (PIH) cases, the condition presents challenges in understanding the immune response. PIH is a complex condition, often persisting after the initial infection is treated and thus requiring a deeper understanding of the immune mechanisms involved in its development. This thesis will explore the immunopathogenesis of PIH, elucidating the relationship between the immune response and neurological complications that would succeed infection. The immune response of PIH includes a series of events, beginning with the activation of immune cells and finishing with the release …

Investigating The Antibacterial And Immunomodulatory Effects Of Resolvin D2 On Monocytes And Macrophages, Cristina Maria Padovani

Theses and Dissertations

In the late phase of sepsis, immunosuppression occurs, where the host is unable to clear the pre-existing infection and is susceptible to secondary infections. It is believed that the ideal treatments for sepsis should attenuate immunosuppression so that the host can get back to homeostasis. Specialized Pro-resolving Mediators (SPMs) are endogenously- produced fatty acids that resolve infectious inflammation without being immunosuppressive. We hypothesize that an SPM – Resolvin D2 (RvD2) – can augment exhausted macrophage function during the immunosuppressive phase of sepsis. We developed a two-hit model to establish macrophage exhaustion in vitro, and found that RvD2 increased NF-κB activity, …