Neuroscience and Neurobiology Commons^™

Investigating The Role Of Msbdnf – Trkb Signaling In The Maintenance Of Mitochondrial Populations Through The Bnip3 Mitophagy Pathway, Jack A. Horton

All NMU Master's Theses

Maintenance of mitochondrial transport and clearance at the pre- and post-synaptic terminal is an essential function of neuromuscular junctions to meet their high energy demands. Damaged or dysfunctional mitochondria can put stress on these synaptic junctions, ultimately leading to the degradation of the synapse and subsequent cell death. Dysfunctional mitochondria are also often present in neuromuscular diseases such as ALS. One possible mechanism by which neurons may eliminate dysfunctional mitochondria is through the muscle-synthesized BDNF (msBDNF) /TrkB-mediated Bcl-2 nineteen-kD interacting protein (BNIP3) mitophagy pathway, although the relationship is not well-defined. BNIP3 localizes to the mitochondria and triggers a loss of …

Classification Of Human Trust In Ai Using Brain Activity Data, Danushka Bandara, Ruhuan Liao, Fatima Chowdhury, Leslie Abbott

Northeast Journal of Complex Systems (NEJCS)

Trust plays a crucial role in human-computer interaction, particularly in scenarios involving artificial intelligence (AI) systems. This study explores the feasibility of using functional near-infrared spectroscopy (fNIRS) data to classify trust levels in human-AI interaction scenarios. A total of 18 participants completed an image classification task with an AI team member while their hemodynamic responses were recorded using fNIRS. Preprocessing of fNIRS data involved motion artifact removal, filtering, and normalization. Exploratory analysis identified significant associations between hemodynamic responses in the prefrontal cortex and trust levels. An across-subject binary trust classification model was developed using machine learning techniques, achieving an F1 …

Coarse-Graining Spiking Reservoirs: Reducing Reservoir Size While Preserving Critical Dynamics, Tucker X. Mastin, Christof Teuscher

Northeast Journal of Complex Systems (NEJCS)

We propose an extension of renormalization into the domain of spiking neural networks, thereby providing a novel framework for coarse-graining neural networks without disrupting their critical properties. The proposed coarse-graining technique merges neurons and synaptic connections based on a graph-theoretic distance derived from synaptic weight strength and is configured to effectively prune the reservoir size while preserving the scale-free spiking dynamics indicative of criticality. Criticality in spiking neural networks may provide information-theoretic advantages by optimizing information processing and sensitivity to input. Using time-series prediction benchmarks, we demonstrate that networks operating at criticality exhibit up to 32% higher prediction accuracy before …

Establishing A Novel Neurofunctional Pre-Season Baseline For Sports-Related Concussion In Men And Women Collegiate Athletics, Jonathan C. Vincent, Jon G. Divine Md Ms, Aaron Kuehn-Himmler At Ms, Robert E. Mangine Pt Med Atc, Jim K. Ellis Od, Frederick R. Carrick Dc, Phd, Ms-Hped, Kimberly A. Hasselfeld, Blake M. Bacevich, Daniel Fosselman Do Mba, Joseph F. Clark Phd, Atc

Journal for Sports Neuroscience

Objective: To develop and validate a multi-domain neurofunctional baseline incorporating ocular, vestibular, proprioceptive, and cognitive assessments for collegiate athletes, thereby providing a more comprehensive approach to detecting and managing sports-related concussions.

Design: Retrospective chart review of pre-season baseline data.

Setting: Collegiate athletic training facility.

Participants: A total of 194 Division I collegiate athletes aged 18–24 years, stratified by sport, sex, and self-reported concussion history.

Interventions: A comprehensive battery of clinical and instrument-based neurological assessments, including Dynavision D2 tests (visual-motor coordination and reaction time), stereopsis, convergence, proprioception, peripheral vision, and retinal nerve fiber layer (RNFL) thickness measurements.

Main Outcome Measures: Normative …

Gardenia Jasminoides Extract As A Potential Neuroprotective Agent In An In Vitro Tauopathy Model, Inas Birekdar

Theses and Dissertations

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder marked by the selective loss of neurons in various brain regions, leading to cognitive dysfunction. Neurofibrillary tangles (NFTs), composed of hyperphosphorylated tau protein accumulate within neuronal cells leading to cell death. The development of effective treatments for neurodegenerative diseases (NDs) remains a significant challenge, with neuroprotection emerging as a promising therapeutic strategy to slow disease progression and preserve cognitive function.

Objective: This study aims to investigate the potential neuroprotective effect of Gardenia jasminoides fruit extract, which contains geniposide, a biologically active compound known for its neuroprotective properties, in mitigating Tau hyperphosphorylation in …

The Role Of Neuroscience In Mental Health Management Within The Adhd Population, Kadi Rae Smith

University Honors Theses

Neuroscience-based educational interventions play a role in the management of Attention Deficit Hyperactive Disorder (ADHD), including the regulation of ADHD-correlated depression and anxiety. Existing research shows that elevated rates of depression correspond to anxiety within the ADHD community; approximately 8.83% of the global population. Social ostracization and isolation are established contributors to depression and anxiety which are commonly comorbid with ADHD. The need exists for further investigation of the beneficial impact that an accurate, biological understanding of how the brain works has on the mental health of the ADHD population, and by extension their families, education systems, and medical industries. …

Electro Transcranial Magnetic Stimulation (Etms) Effects On Pharmacoresistent Sleep Disorders Using A Quantitative Electroencephalogram (Qeeg), Sarah Diane Dean

Doctoral Dissertations and Projects

The following quantitative correlational study investigated the effects of eTMS on individuals with pharmacoresistant sleep disorders using a qEEG. This research measures the dimensions of anxiety, depression and quality of life (QoL) as it relates to untreated secondary diagnosis. Additionally, this research examines the activity level of the dorsolateral prefrontal cortex in relation to eTMS treatments. It was found that correlation with anxiety (rs = -.466, p < .001), depression (rs = -0.556, p < 0.001), quality of life (rs = -.436, p < .001), and sleep disturbances (rs = -0.452, p < 0.001), have a statistically significant negative correlation with dlPFC activity level. Finally, it was found that eTMS does have a statistically significant relationship with sleep disturbances as well as anxiety, depression and general quality of life (U (195) = 4647, p = .971). This is important to the field of neuroscience as it provided a more precise form of individualized neuromodulation through the use of a uncommon type of transcranial magnetic stimulation.

Analysis Of Synaptotagmin Isoforms In Lßt2 Gonadotrophs, Caitlin Vahl

Undergraduate Theses, Capstones, and Recitals

The anterior pituitary is comprised of five cell types which secrete regulatory hormones into the bloodstream. Specifically, gonadotrophs synthesize and release sex hormones follicle-stimulating hormone (FSH) and luteinizing hormone (LH) in response to gonadotropin-releasing hormone (GnRH). GnRH signals from the hypothalamus regulate the differential secretion of LH and FSH from the anterior pituitary. Exocytosis of FSH and LH from dense core vesicles (DCVs) occurs in response to an intracellular calcium signal, sensed by the synaptotagmins proteins. Various isoforms of synaptotagmins exist and each isoform has varying affinity for calcium, causing calcium-regulated exocytosis to be finely controlled. Because LH and FSH …

Neural Oscillations Enable Concurrent Visual Perception And Visual Working Memory Processing, Khayla Santiago

Lawrence University Honors Projects

Successful goal-directed behavior requires balancing task-relevant information stored in working memory and the continuous processing of incoming sensory input, yet the neural mechanisms underlying this coordination remain unclear. This study examines how neural oscillations support concurrent visual perception and visual working memory. Using electroencephalography (EEG), we recorded brain activity while participants performed a dual task paradigm requiring them to simultaneously maintain one orientation in their memory while monitoring another orientation on the screen. After variable time intervals (50 different SOAs between 500-1500ms), participants compared a probe against either the memorized or visually monitored orientation. Analysis of response times and accuracy …

Hormonal Modulation Of Perineuronal Net Density In The Female Peromyscus Californicus Hippocampus And Medial Prefrontal Cortex, Nazlee Harunani

Lawrence University Honors Projects

Perineuronal nets (PNNs) are specialized extracellular matrix structures that regulate synaptic plasticity and stabilize neural circuits, particularly during the closure of critical periods, a time when the brain is highly plastic and susceptible to environmental influence. Emerging evidence suggests that PNNs may be sensitive to hormonal fluctuations associated with critical periods such as puberty and pregnancy, yet their role in the female brain, particularly in relation to other well-characterized hormonally-mediated events, remains underexplored. This project investigated whether PNN expression in the hippocampus and medial prefrontal cortex varied following vaginal opening, or across different stages of the estrous cycle in Peromyscus …

Proceedings From The Sixth Annual Society For Sports Neuroscience Conference, Neurosports Editorial Staff

Journal for Sports Neuroscience

Proceedings from the Sixth Annual Society for Sports Neuroscience Conference

Art, Play, And Neuroplasticity: Advancing Dementia Care Through Art-Enriched Environments, Piper Hutson, James Hutson

Faculty Scholarship

Dementia represents a global public health crisis, characterized not only by progressive memory loss but by a pervasive decline in cognitive flexibility, social functioning, and overall quality of life. Traditional therapeutic modalities, often limited to pharmacological management and cognitive training, have yielded only modest gains in symptom mitigation and patient well-being. Recent advances in neuroscience have illuminated the brain‘s capacity for neuroplasticity—its inherent ability to adapt, reorganize, and form new neural connections even in advanced age and the presence of neurodegenerative conditions. This emerging understanding invites a critical re-evaluation of dementia care strategies, highlighting the potential of non-pharmacological interventions to …

The Role Of Socioeconomic Status In Shaping Associations Between Sensory Association Cortex And Prefrontal Structure And Implications For Executive Function, Maya L. Rosen, Divyangana Rakesh, Rachel R. Romeo

Neuroscience: Faculty Publications

Socioeconomic status (SES) is associated with widespread differences in structure of temporal, parietal, occipital, and frontal cortices. Development of sensory processing regions—in particular visual association cortex (VAC) and auditory association cortex (AAC)—may scaffold development of the prefrontal cortex (PFC). Experiences that correlate with SES like cognitive stimulation and language may influence VAC and AAC development, in turn allowing the PFC to resolve conflicts between similar stimuli. SES-related differences in these regions may partly explain differences in executive function (EF) skills. Here, we use structural equation modeling of longitudinal data from the Adolescent Brain and Cognitive Development study to test the …

Parvalbumin Interneuron-Oligodendrocyte Interactions In The Infralimbic Cortex Promote Extracellular Plasticity Mechanisms After Safety Learning, Lucy Emma Denholtz

Dissertations, Theses, and Capstone Projects

The ability to differentiate between threat and safety cues is essential for adaptive behavior, yet this process is disrupted in psychiatric disorders, such as post-traumatic stress disorder (PTSD), where safety cues fail to downregulate fear expression. To better understand the neurobiological mechanisms of safety learning, I investigate how safety conditioning vs contextual fear conditioning modify behavioral and cellular mechanisms in the infralimbic (IL) region of the medial prefrontal cortex (mPFC) at several time points after learning. Through this work, I identify a novel mechanism whereby safety learning promotes learning dependent neuro-glial interactions that promote conditions for plasticity in the mPFC. …

When Avatars Go To School: The Effect Of Virtual Reality On Learning And Error Correction, Lauren Barack

Dissertations, Theses, and Capstone Projects

The pandemic in 2020 led to an increasing dependency on technology particularly in learning environments. National educational assessments in the proceeding years have indicated steep, measurable learning loss. While a fully virtual learning environment is not the norm today, we chose to investigate how virtual reality (VR) environments influence learning in college students.

Our primary research goal was to look at how students learn and remember information gathered in virtual spaces. In particular, we examined whether sensory inputs in the VR environment, including spatial audio and haptic feedback, such as vibrations felt in a handheld controller, would help to better …

Environmental Enrichment Reduces Cue-Induced Reinstatement Of Heroin-Seeking Following Prolonged Use And Reverses Region-Specific Heroin-Induced Neuroadaptations, Apoorva Vashisht

Dissertations, Theses, and Capstone Projects

Background: Relapse remains the greatest barrier to long-term recovery and the consequential rising overdose-related mortality in heroin use disorder (HUD). Currently available behavioral and pharmacological interventions fail to extend their benefits beyond the duration of the treatment. Additionally, opioid agonist-based medications accompany harmful neurobiological risks and propensity to promote further drug-seeking post-treatment. We have shown that environmental enrichment (EE), as a therapeutic strategy applied after drug intravenous-self administration (IVSA), can effectively facilitate abstinence and reduce reinstatement of drug-seeking in animal models of drug abuse. Moreover, dopamine receptors like D1 and D3, and mu-opioid (MO) receptors are well known for their …

Tailoring Evaluations Of Chronic Rhinosinusitis: Understanding Sleep And Its Effect On Memory Through Actigraphy, Donyea Moore, Rachel Nolte, Yitong Pepper Huang, Shreya Maharana, Pavan Nataraj, Bichun Ouyang, Mahboobeh Mahdavinia

Mathematics Sciences: Faculty Publications

Background/Objectives: Chronic rhinosinusitis (CRS) is a persistent inflammatory condition of the sinonasal mucosa lasting for at least three months. For patients, CRS-related sleep disturbances can significantly disrupt circadian rhythms, leading to further health complications such as cognitive impairment. Despite the well-documented sleep disturbances associated with CRS, there is limited research on objective assessment methods. Additionally, the severity of these issues can vary among patients. This study aims to assess sleep quality and timing in CRS patients and investigate their impact on cognition, providing guidance for personalized and tailored assessment and management of CRS. Methods: Our case–control study compares sleep patterns …

Topodino: Self-Supervised Topological Representation Learning For Neuronal Morphologies, Yasser Binbisher

Master's Theses

Neuronal cell types are categorized by transcriptomic identity, yet their morphological heterogeneity defies this classification. In response, researchers have adopted unsupervised graph representation learning as a tool to reveal morphological variation within single-class transcriptomic types. However, the complex geometry of neuronal morphology—especially long axons and dense dendrites—challenges graph neural networks, which struggle with message propagation across extended structures. To mitigate this, current approaches enforce sub-sampling on neuronal graphs and omit axons entirely, sacrificing critical biological features for computational efficiency. To overcome this trade-off, this thesis introduces TopoDINO, a self-supervised, topology-aware representation learning model designed to preserve the full hierarchical organization …

Memory Interference In The Lateral Entorhinal Cortex, Omar Ghazy

Dissertations, Theses, and Capstone Projects

Memory interference occurs when previously formed memories disrupt the acquisition or retrieval of new information. A prominent example of proactive interference is latent inhibition (LI), defined as a reduced ability to form or express Pavlovian associations with a stimulus following non-reinforced exposure. The interference-based model suggests that LI arises because the memory that the pre-exposed stimulus is inconsequential interferes with the memory that it predicts a reinforcer.

Because interference increases with age, identifying its neural basis may help prevent or slow cognitive decline. Prior studies using the LI paradigm implicate the entorhinal cortex (EC) in retrieving the memory that a …

The Sub-Syllabic Symphonies Of Self-Learning: How Do Zebra Finches Sing Them?, Abiesha Abiola Budiman

Dissertations, Theses, and Capstone Projects

Learning is a lifelong journey, where the mind and muscle dance to a tune of memory and motion. It begins at infancy and continues throughout life, encompassing everything from singing to achieving peak performance in sports. Complex motor skills involve multiple components and require coordination of several muscles. Humans and animals are extremely adept at learning complex motor skills on their own. However, we do not completely understand how self-directed learning works. One group of animals used to observe self-directed learning are songbirds. Zebra finches, Taeniopygia guttata, are one of the most studied songbird species due to their well-defined …