Neuroscience and Neurobiology Commons^™

The Relationship Between Depression And Cognitive Proficiency Index Across Biological Sex, Angela N. Ferdinardo

Dissertations

Depression is a widely studied mood disorder, and understanding its effect on cognitive functioning has become an important area of research. While research has examined relationships among depression, working memory, and cognitive deficits, limited research has explored depressive symptoms and cognitive proficiency across biological sex. Depression manifests similarly in men and women, though men are more likely to experience irritability, impulsivity, and anger, while women tend to experience sadness, stress, and sleep disturbances (Johns Hopkins Medicine, 2023). Women are also more likely to seek treatment and cope differently than men. This study examined the relationship between depression and cognitive proficiency …

Exploring Primary Care Providers’ Compassionate Care And Their Evidence-Based Practice With Death, Grief, And Loss: Patient Experience And Perspective, Kathryn Krzykala

Dissertations

Research on primary care providers’ (PCPs) education regarding Death, Grief, and Loss (DGL) remains limited. Specifically, data is lacking regarding patients' perceptions and opinions on what they need and expect from their PCPs regarding grief and loss. This exploratory mixed-method study comprised 146 participants who had experienced death and non-death loss. It examined participants' perceptions of 1) PCP compassion, 2) PCP utilization of evidence-based grief and loss practices, 3) their own level of comfort discussing DGL with their PCPs during medical visits, and 4) their personal grief and loss experiences. The findings revealed that PCPs' grief-informed evidence-based treatment, as reflected …

Exercise Therapy For Mood Disorders In Retiring/Former Athletes, Christian Antos

Dissertations

This dissertation examined the potential integration of exercise therapy and psychotherapy as a treatment approach for mood-related difficulties experienced by former elite athletes during the transition out of competitive sport. Retirement from athletics is often associated with significant biopsychosocial challenges, including disruptions in identity, healthy routines, social support, and emotional well-being. Existing literature suggests that exercise may serve as an effective adjunctive intervention for improving mood and overall psychological functioning, though limited research has explored its application among retiring athletes within psychotherapeutic contexts. This literature review synthesized current research related to athletic retirement, neurobiological mechanisms associated with physical activity, and …

Vergence Task-Based Neural Pathways With Binocularly Normal Vision And Comorbid Persistent Post-Concussive Symptoms -Convergence Insufficiency, Ayushi Sangoi

Dissertations

Binocular dysfunctions are more prevalent in the persistent post-concussive symptoms (PPCS) population than in the general population. The most prevalent binocular disorder is convergence insufficiency (CI), affecting 3-17% of the general population and up to 10 times as many people with PPCS. CI makes it difficult to fuse or maintain fusion on targets at near, and its symptoms include double or blurry vision and headaches when performing close-range tasks such as reading, which can exacerbate PPCS symptoms. Given controversy over the subjectivity and effectiveness of diagnostic tools and symptom surveys for both PPCS and CI, understanding why CI has high …

Transcranial Ac Modulation Of Cerebellar Nuclear Activity In Awake Animals, Nuran Kavakli

Dissertations

Entrainment of cerebellar nuclear (CN) cells via cerebellar transcranial alternating current stimulation (ctACS) has been reported in animals under ketamine/xylazine anesthesia. Our main objective was to demonstrate modulation of CN activity in unanesthetized, freely moving animals using ctACS. Multi-channel carbon-fiber electrodes were implanted into the interpositus nucleus for recording multi-unit (MU) activity, and thin-film electrodes were implanted subcutaneously over the posterior cerebellum for stimulation. A frequency-domain-based metric was developed to quantify modulation from MU signals. The results demonstrated modulation in a wide range of frequencies (4 Hz-300 Hz) as in anesthetized animals. In contrast, the amplitude of the peak in …

From Stranger To Self: The Role Of Familiarity In Modulating The N170 And N250 Erp Components, Tabish Gul

Dissertations

This study investigated how varying levels of face familiarity modulate the N170 and N250 event-related potential (ERP) components, two neural markers of face perception and recognition. While the N250 is widely considered familiarity-sensitive, the N170 has traditionally been linked to the structural encoding stage of face perception. However, recent research suggests that face familiarity may also influence N170 amplitude and latency. While most previous studies have compared up to three familiarity levels, the present study examined five levels of familiarity: own face, friend’s face, famous face, experimentally familiar face, and unfamiliar face. Twenty-six participants viewed face images while completing a …

Establishment Of A Hek293t Cell Model System To Investigate Direct Intracellular Interactions Between Amyloid-Β (Aβ) And The Nlrp3 Inflammasome, Cristina Sinobas Pereira

Dissertations

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia worldwide. While Amyloid-β (Aβ) aggregation is a defining pathological feature, increasing evidence highlights chronic neuroinflammation as a critical contributor to disease progression. Soluble Aβ assemblies can act as damage associated molecular patterns (DAMPs) including activation of the NLRP3 inflammasome, which links amyloid pathology to sustained inflammatory responses in the brain (Heneka et al., 2015; Nakanishi et al., 2018). However, the molecular mechanisms by which specific Aβ conformations influence inflammasome assembly remain incompletely understood.This study aimed to investigate whether distinct aggregation states of amyloid β42 (Aβ42) are …

Appearance Over Function - The Impact Of Long-Term Oral Contraceptive Use On Brain Development, Breast Tissue Composition, And Future Lactation Outcomes, Fiona M. Wang

Dissertations

This integrative review examines the long-term effects of combined oral contraceptive (COC) use beginning in puberty on brain development, breast tissue composition, and future breastfeeding outcomes. Puberty is a critical developmental stage during which hormonal changes significantly impact the neurological and reproductive systems. The introduction of synthetic estrogen and progestin through COC use during this time may disrupt natural hormonal pathways, potentially altering neuroendocrine signaling and breast tissue maturation. Such changes may have lasting consequences, including impaired milk production, a weakened milk ejection reflex, disrupted maternal-infant bonding, and reduced overall breastfeeding success. The review synthesizes findings from endocrinology, neuroscience, and …

The Role Of Excitatory Neuromodulation In Managing Variability Of Neural System Output, Omar Itani

Dissertations

Neural systems can generate consistent outputs across a population despite substantial variability in the underlying components of individuals. This dissertation aims to identify mechanisms through which neuromodulation influences the relationship between parametric and output variability in neural systems. Through a combination of theoretical analysis, computational modeling, and data-driven approaches, the research addresses how excitatory neuromodulation can shape population-level activity variability and identifies key patterns that govern the production of consistent neural population output despite underlying parameter variability.

The theoretical foundation is established by considering how excitatory neuromodulation affects population variability in simplified neuronal models. Two fundamental patterns of variability reduction …

Determination Of Electrochemical Parameters For Predicting Reaction Mechanism And Algorithmic Approaches To Pain Assessment, Huize Xue

Dissertations

This dissertation introduces novel advancements in electrochemical kinetics and pain assessment, structured into two main parts. The first part focuses on the comprehensive analysis of the kinetic and mechanistic aspects of electrochemical reactions, utilizing a combination of experimental techniques and simulation methods. A new software tool, Envismetrics, was developed using Python to facilitate the analysis of complex electrochemical data, including cyclic voltammetry (CV), chronoamperometry (CA), and hydrodynamic voltammetry (HDV). The software was rigorously tested and validated with well-characterized redox systems such as the ferricyanide/ferrocyanide couple, dimethylamine borane (DMAB), and Per- and Polyfluoroalkyl Substances (PFAS). It was successfully used to determine …

Large Deviation Theory In Stochastic Processes: Applications To Biological Modeling, Moshe C. Silverstein

Dissertations

This dissertation delves into developing and applying stochastic models to analyze complex biological systems. It leverages Large Deviation Theory (LDT) to gain insights into these systems, focusing on two key examples: neural networks and calcium signaling dynamics. Traditional deterministic methods frequently fail to capture biological processes' randomness and inherent variability. Meanwhile, many stochastic approaches struggle to be mathematically tractable or provide accessible insights. The approach introduced in this study provides rigorous mathematical frameworks to enhance understanding of these stochastic behaviors while remaining tractable and insightful.

A stochastic model for a random biological neural network is constructed that addresses the dependencies …

Beneficial Effects Of Exercise On Glial Cell Line-Derived Neurotrophic Factor Content And Endplate Morphology In Skeletal Muscle Of Aging Male And Female Rats, Juliana M. Vangyseghem

Dissertations

Premenopausal women display lower incidence and severity of neurological disease compared to men of the same age, yet these populations are often treated similarly. A decline in neuromuscular function is associated with aging, which may be partially explained by a decline in neurotrophic factor expression with age. A possible way to maintain neuroprotection would be to regulate the production and release of a target-derived neurotrophic factor, such as glial cell line-derived neurotrophic factor (GDNF). GDNF has been shown to be the most potent survival factor for motor neurons and GDNF content of skeletal muscle has been shown to increase with …

The Role Of Semaphorins In Response To Injury In C. Elegans Neurons, Maria Belen Harreguy Alfonso

Dissertations

When neural tissue is injured by trauma, delicate neuronal processes such as axons and dendrites are prone to lesion damage and often disconnect. The molecular, cellular, and circuit mechanisms that underlie the regrowth and reconnection of these processes and the recovery of behavior are major challenges in the fields of neuroscience, regeneration, and resilience. At the molecular and cellular levels, signaling pathways that mediate neuronal growth cone guidance during development can play a role in neuronal regeneration and recovery from injury. One family of signaling proteins involved in this process comprises the highly conserved semaphorins and their receptors, the plexins. …

Neural Correlates Of Post-Traumatic Brain Injury (Tbi) Attention Deficits In Children, Meng Cao

Dissertations

Traumatic brain injury (TBI) in children is a major public health concern worldwide. Attention deficits are among the most common neurocognitive and behavioral consequences in children post-TBI which have significant negative impacts on their educational and social outcomes and compromise the quality of their lives. However, there is a paucity of evidence to guide the optimal treatment strategies of attention deficit related symptoms in children post-TBI due to the lack of understanding regarding its neurobiological substrate. Thus, it is critical to understand the neural mechanisms associated with TBI-induced attention deficits in children so that more refined and tailored strategies can …

Deep Hybrid Modeling Of Neuronal Dynamics Using Generative Adversarial Networks, Soheil Saghafi

Dissertations

Mechanistic modeling and machine learning methods are powerful techniques for approximating biological systems and making accurate predictions from data. However, when used in isolation these approaches suffer from distinct shortcomings: model and parameter uncertainty limit mechanistic modeling, whereas machine learning methods disregard the underlying biophysical mechanisms. This dissertation constructs Deep Hybrid Models that address these shortcomings by combining deep learning with mechanistic modeling. In particular, this dissertation uses Generative Adversarial Networks (GANs) to provide an inverse mapping of data to mechanistic models and identifies the distributions of mechanistic model parameters coherent to the data.

Chapter 1 provides background information on …

Probing Amyloid-Beta Protein Structure And Dynamics With A Selective Antibody, Shikha Grover

Dissertations

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder. The AD brain is characterized by significant neuronal loss and accumulation of insoluble fibrillar amyloid-β protein (Aβ) plaques and tau protein neurofibrillary tangles in the brain. However, over the last decade, many studies have shown that the neurodegenerative effect of Aβ may in fact be caused by various soluble oligomeric forms as opposed to the insoluble fibrils. Furthermore, the data suggest that a pre-fibrillar aggregated form, termed protofibrils, mediates direct neurotoxicity, and triggers a robust neuroinflammatory response.

Antibodies targeting the various conformation of Aβ are important therapeutic agents to prevent the progression …

Improving The Stimulation Selectivity In The Human Cochlea By Strategic Selection Of The Current Return Electrode, Ozan Cakmak

Dissertations

The hearing quality provided by cochlear implants are poorly predicted by computer simulations. A realistic cochlear anatomy is crucial for the accuracy of predictions. In this study, the standard multipolar stimulation paradigms are revisited and Rattay’s Activating Function is evaluated in a finite element model of a realistic cochlear geometry that is based on µ-CT images and a commercial lead. The stimulation thresholds across the cochlear fibers were investigated for monopolar, bipolar, tripolar, and a novel (distant) bipolar electrode configuration using an active compartmental nerve model based on Schwartz-Eikhof-Frijns membrane dynamics. The results suggest that skipping of the stimulation point …

Regulation Of Parkinson’S Disease-Associated Genes By Pumilio Proteins And Micrornas In The Human Neuroblastoma Cell Line Sh-Sy5y, Lisa J. Snoderly-Foster

Dissertations

Parkinson’s disease (PD) is the second most common age-related, neurodegenerative disease. A small collection of genes has been linked to PD, including SNCA encoding the protein alpha-synuclein that aggregates in Lewy bodies, a hallmark of PD. Overexpression of these genes can lead to pathogenesis, yet the regulatory mechanisms that control protein production of the genes are not fully understood. The SH-SY5Y neuronal cell line is a common model for the study of neurodegenerative diseases, including PD. However, SH-SY5Y cells are difficult to transfect, a process necessary for genetic manipulations and downstream analysis of RNA and protein. Herein, I describe the …

Sensorimotor Content Of Multi-Unit Activity In The Paramedian Lobule Of The Cerebellum, Esma Cetinkaya

Dissertations

Based on Center for Disease Control and Prevention report 2016, around 39.5 million people in the United States suffer from motor disabilities. These disabilities are due to traumatic conditions like traumatic brain injury (TBI), neurological diseases such as amyotrophic lateral sclerosis (ALS), or congenital conditions. One of the approaches for restoring the lost motor function is to extract the volitional information from the central nervous system (CNS) and control a mechanical device that can replace the function of a paralyzed limb through systems called Brain-Computer Interfaces (BCI).

One of the major challenges being faced in BCIs and also in general …

Development And Evaluation Of A Hand Exoskeleton For Neurorehabilitation Post Stroke, Ashley Joyce Mont

Dissertations

Stroke affects approximately 800,000 people in the United States each year, and due to its chronic effects, it is one of the leading causes of disability. Many individuals with stroke suffer the loss of motor function in their paretic upper extremity, and longitudinal studies show that 30 — 66% of individuals with hemiplegia fail to regain arm function six months post stroke. After a stroke, the brain undergoes neuroplasticity which will promote recovery of function. Investigators and clinicians are trying to develop rehabilitation interventions that can be designed to promote neuroplasticity, enhancing the recovery outcomes of therapy.

For individuals with …

Utility Of The Motivation To Change Lifestyle And Health Behaviors For Dementia Risk Reduction Scale (Mclhb-Drr) Based On A North American Sample, Angelina E. Witbeck

Dissertations

As the population ages, the prevalence rates of dementia continue to increase. Without a cure or promising treatment for dementia, the best course of lowering the prevalence rates of dementia is through preventative measures. Through an electronic survey, the study utilized the MCLHB-DRR scale to determine whether (1) gender, age, educational background, and socioeconomic status will impact the motivational factors to change lifestyle and health behaviors to reduce the risk of developing dementia and (2) direct experiences with individuals that have a dementia diagnosis are likely to impact one's motivational factors to change lifestyle and health behaviors to reduce the …

One-Stage Blind Source Separation Via A Sparse Autoencoder Framework, Jason Anthony Dabin

Dissertations

Blind source separation (BSS) is the process of recovering individual source transmissions from a received mixture of co-channel signals without a priori knowledge of the channel mixing matrix or transmitted source signals. The received co-channel composite signal is considered to be captured across an antenna array or sensor network and is assumed to contain sparse transmissions, as users are active and inactive aperiodically over time. An unsupervised machine learning approach using an artificial feedforward neural network sparse autoencoder with one hidden layer is formulated for blindly recovering the channel matrix and source activity of co-channel transmissions. The BSS sparse autoencoder …

Assessing Structural And Functional Brain Alterations And Work-Related Fatigue In Non-Hyposmic And Hyposmic Covid-19 Survivors, Rakibul Hafiz

Dissertations

In the year 2019, life began to change at the advent of a global pandemic caused by the novel coronavirus. Mask mandates and mass vaccinations have mitigated the effects significantly, yet cases keep rising with new variants, especially, in densely populated countries, like India. Recent neuroimaging evidence shows the virus can attack the central nervous system (CNS). However, exactly which brain regions undergo structural and functional changes remain largely unknown. Many patients experience 'loss of/reduced sense of smell' (i.e., hyposmic) and an alarming number of survivors develop persistent symptoms ('long-COVID') for several months after initial infection. Fatigue is the most …

Repeated Low-Level Blast Induces Chronic Neuroinflammation And Neurobehavioral Changes In Rat Models, Arun Reddy Ravula

Dissertations

Blast-induced neurotrauma (bTBI) is a signature medical concern for military personnel when they are exposed to explosions in active combat zones. However, soldiers as well as law enforcement personnel are also repeatedly exposed to low-level blasts during training sessions with heavy weaponries as part of combat readiness. Service personnel who sustain brain injuries from repeated low-level blasts (rLLBs) do not display overt pathological symptoms immediately but rather develop cognitive impairments, attention deficits, anxiety, and sleep disturbances over time. An improved rat model of rLLB was developed in this thesis by applying controlled low-level blast pressures (10 psi) repeated five times …

Granulins In Norm And Neurodegenerative Pathologies, Anukool Bhopatkar

Dissertations

Granulins (GRNs) are small, cysteine-rich modules produced from the proteolytic cleavage of the precursor protein called progranulin (PGRN). GRNs are present in the form of seven tandem repeats within the precursor and are known to be produced in the extracellular and in lysosomal environments. In physiology, PGRN and GRNs plays pleiotropic roles such as neuronal growth and differentiation, immunomodulation, wound healing. Recent studies have implicated pathological role for PGRN in Alzheimer disease (AD) and frontotemporal dementia (FTD) but specific mechanism(s) remains unclear. However, potential interactions between GRNs and Ab42 and TDP-43 seem like a plausible underlying mechanism. Studies presented here …

Towards Understanding The Role Of Central Processing In Release From Masking, Nima Alamatsaz

Dissertations

People with normal hearing have the ability to listen to a desired target sound while filtering out unwanted sounds in the background. However, most patients with hearing impairment struggle in noisy environments, a perceptual deficit which current hearing aids and cochlear implants cannot resolve. Even though peripheral dysfunction of the ears undoubtedly contribute to this deficit, surmounting evidence has implicated central processing in the inability to detect sounds in background noise. Therefore, it is essential to better understand the underlying neural mechanisms by which target sounds are dissociated from competing maskers. This research focuses on two phenomena that help suppress …

Alcohol As A Catalyst For Hiv-Associated Neuroinflammation And Tbi-Induced Iron Toxicity, Agnieszka Agas

Dissertations

Alcohol has long been considered an exacerbator of diseases, disorders, and injuries as well as many of the accompanying symptoms. As an alternative approach, this dissertation explores alcohol as a catalyst for two different human disease conditions, human immunodeficiency virus (HIV)-associated neuroinflammation and traumatic brain injury (TBI)-induced iron toxicity. In HIV-1 infection, this dissertation presents a novel anti-viral drug, called Drug-S, for a possible inhibition and treatment of HIV-1 disease progression.

The first aim explores the influence of alcohol with HIV-associated neuroinflammation on macrophage migration across an in vitro model of the blood brain barrier. There is a gap in …

Selective Neural Stimulation By Leveraging Electrophysiological Diversity And Using Alternative Stimulus Waveforms, Bemin Ghobreal

Dissertations

Efforts on finding the principle mechanism for selective neural stimulation have concentrated on segregating the neurons based on their size and other geometric factors. However, neuronal subtypes found in different parts of the nervous system also differ in their electrophysiological properties. The primary objective of this study is to investigate the feasibility of selective activation of neurons by leveraging the diversity seen in passive and active membrane properties.

Using both a local membrane model and an axon model based on the CRRSS, the diversity of electrophysiological properties is simulated by varying four model parameters (membrane leakage-Gleak and capacitance-Cm, temperature coefficient-Ktemp, …

Mechanisms Of Oscillations And Polyglot Entrainment In Neuronal And Circadian Models, Emel Khan

Dissertations

Entrainment is a type of synchronization in which the period of an endogenous oscillator matches the period of an external forcing signal and a stable phase relationship is maintained between them. Entrainment patterns are described in terms of the number of input oscillations (N) that are phase-locked to a number of output oscillations (M), referred to as N:M patterns. Arnold tongue diagrams are used to depict the regions of N:M entrainment patterns in the input period-amplitude parameter space. Although the entrainment of self-sustained oscillators by periodic forcing are well investigated is a well-studied problem, entrainment of damped oscillators has been …

Life Satisfaction: Aging Female Informal Caregivers Of Persons With Dementia, Deborah Ann Monson

Dissertations

Purpose/Aims

The purpose of this study was to describe the relationship between aging female informal caregivers of persons with dementia (PWD) and care recipients’ PWD demographic factors, aging female informal caregivers of PWD social support factors, positive and negative feelings, a sense of flourishing, stress, and life satisfaction.

Background/Rationale

Older adults with dementia are living longer and the majority are receiving care by aging female informal caregivers. Dementia incrementally worsens over time impacting informal caregiver life satisfaction. Most studies have focused on negative aspects of informal caregiving. Therefore, this study investigated both positive and negative aspects of caregiving.

Conceptual Basis …