Neurosciences Commons^™

Exploring The Relationship Between Melanopsin Gene Variants, Sleep, And Markers Of Brain Health, Ayeisha Milligan Armstrong, Eleanor O'Brien, Tenielle Porter, Vincent Dore, Pierrick Bourgeat, Paul Maruff, Christopher C. Rowe, Victor L. Villemagne, Stephanie R. Rainey-Smith, Simon M. Laws

Research outputs 2022 to 2026

INTRODUCTION: Melanopsin is a photopigment with roles in mediating sleep and circadian-related processes, which are often disrupted in Alzheimer's disease (AD). Melanopsin also impacts cognition and synaptogenesis. This study investigated the associations between melanopsin genetic variants, sleep, and markers of brain health. METHODS: Linear regression analyses examined the relationship of single-nucleotide polymorphisms (SNPs) within the melanopsin gene (OPN4), with cortical amyloid beta (Aβ), cognition, brain volumes, and self-reported sleep traits in cognitively unimpaired older adults. Further analyses assessed whether sleep traits x OPN4 SNP interactions were associated with markers of brain health. RESULTS: OPN4 SNPs rs2355009 and rs3740334 were associated …

Effects Of Perinatal Exposure To Lipopolysaccharide And Acetaminophen On Learning In Adult Long-Evans Rats, Lucy A. Sivils

College of Graduate Studies: Theses & Dissertations

The present study investigated the individual and combined effects of elevated perinatal inflammation, oxidative stress caused by acetaminophen (APAP) exposure, or elevated inflammation and oxidative stress on adult learning behaviors in Long-Evans rats. While prior studies have examined these factors independently, the combined effects of inflammation and oxidative stress via APAP exposure during early development on learning-related behaviors remain unexplored. The present research aimed to address this gap by the analysis of potential long-term neurodevelopmental consequences of lipopolysaccharide (LPS)-induced inflammation and APAP-induced oxidative stress. LPS, APAP, or LPS + APAP was administered during the perinatal period: postnatal days (PD) 9, …

Effects Of High-Frequency Repetitive Transcranial Magnetic Stimulation On Impulse Control Disorders In Patients With Parkinson’S Disease On Dopamine Replacement Therapy, Katherine Muksuris

Graduate Theses, Dissertations, and Problem Reports (ETD)

Parkinson’s Disease (PD) is a debilitating neurodegenerative disorder that causes motor deficits, cognitive impairment, and depression. The mainstay treatment for motor symptoms is dopamine replacement therapy (DRT). DRT takes the form of levodopa or dopamine receptor agonists (DAs) and can be associated with impulse control disorders (ICDs). Currently, the approach to mitigating these side effects is to decrease or stop DRT, which may cause motor symptoms to return, making the management of the disorder more difficult. Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive neuromodulation treatment for multiple disorders, including its approved use for smoking cessation. It has also shown …

Impact Of Tranexamic Acid On Patient Outcomes In Intracranial Hemorrhage: A Review, William G. Johnson

The PA Department Journal of Medical Science

Introduction: Intracranial hemorrhage is a medical emergency that remains a significant source of death and disability for patients globally. Tranexamic acid has shown promise in treating trauma related bleeding loss in various settings. This study aims to evaluate its role in the management of intracranial hemorrhages.

Methods: A review of data in the PubMed National Library of Medicine was conducted to find relevant and reputable studies related to this topic. Using the search “tranexamic acid AND intracranial hemorrhage*” and the following filters: last 5 years, free full text, English language, including RCTs, meta-analyses, and systematic reviews, 13 results …

Resort Enhances Reference-Based Cell Type Deconvolution For Spatial Transcriptomics Through Regional Information Integration, Linhua Wang, Ling Wu, Guantong Qi, Chaozhong Liu, Wanli Wang, Xiang H-F Zhang, Zhandong Liu

Duncan NRI Faculty and Staff Publications

Motivation: Spatial transcriptomics (ST) captures positional gene expression within tissues but lacks single-cell resolution. Reference-based cell type deconvolution methods were developed to understand cell type distributions for ST. However, batch/platform discrepancies between references and ST impact their accuracy.

Results: We present Region-based Cell Sorting (ReSort), which utilizes ST's region-level data to lessen reliance on reference data and alleviate these technical issues. In simulation studies, ReSort enhances reference-based deconvolution methods. Applying ReSort to a mouse breast cancer model highlights macrophages M0 and M2 enrichment in the epithelial clone, revealing insights into epithelial-mesenchymal transition and immune infiltration.

Availability and implementation: Source codes …

Survey And Improvement Strategies For Gene Prioritization With Large Language Models, Matthew B Neeley, Guantong Qi, Guanchu Wang, Ruixiang Tang, Dongxue Mao, Chaozhong Liu, Sasidhar Pasupuleti, Bo Yuan, Fan Xia, Pengfei Liu, Zhandong Liu, Xia Hu

Duncan NRI Faculty and Staff Publications

Motivation: Rare diseases remain difficult to diagnose due to limited patient data and genetic diversity, with many cases remaining undiagnosed despite advances in variant prioritization tools. While large language models have shown promise in medical applications, their optimal application for trustworthy and accurate gene prioritization downstream of modern prioritization tools has not been systematically evaluated.

Results: We benchmarked various language models for gene prioritization using multi-agent and Human Phenotype Ontology classification approaches to categorize patient cases by phenotype-based solvability levels. To address language model limitations in ranking large gene sets, we implemented a divide-and-conquer strategy with mini-batching and token limiting …

Drosophila Models Uncover Substrate Channeling Effects On Phospholipids And Sphingolipids In Peroxisomal Biogenesis Disorders, Michael F Wangler, Yu-Hsin Chao, Mary Roth, Ruth Welti, James A Mcnew

Duncan NRI Faculty and Staff Publications

Peroxisomal Biogenesis Disorders Zellweger Spectrum (PBD-ZSD) disorders are a group of autosomal recessive defects in peroxisome formation that produce a multi-systemic disease presenting at birth or in childhood. Well documented clinical biomarkers such as elevated very long chain fatty acids (VLCFA) are key biochemical diagnostic findings in these conditions. Additional, secondary biochemical alterations such as elevated very long chain lysophosphatidylcholines are allowing newborn screening for peroxisomal disease. In addition, a more widespread impact on metabolism and lipids is increasingly being documented by metabolomic and lipidomic studies. Here we utilize Drosophila models of pex2 and pex16 as well as human plasma …

Recurrent Carotid Paragangliomas In A Syndromic Patient With A Heterozygous Missense Variant In Dna Methyltransferase 3 Alpha, Ryan J German, Blake Vuocolo, Liesbeth Vossaert, Lisa Saba, Robin Fletcher, Matthew L Tedder, Bekim Sadikovic, Jennifer Kerkhof, Michael Wangler, Carlos A Bacino

Duncan NRI Faculty and Staff Publications

We report a 40-year-old African American female with a novel variant in exon 8 of DNA methyltransferase 3 alpha (DNMT3A), (NM_022552.4: c.905G>C, p.G302A) who presented with a history of recurrent carotid paragangliomas, mediastinal mass, intellectual disability, dysarthria, cholelithiasis, diabetes mellitus, hypertension, and dysmorphic features. We interpret this novel variant as likely pathogenic and causative for the patient's syndromic features of Heyn-Sproul-Jackson syndrome. Heyn-Sproul-Jackson syndrome is a condition caused by gain-of-function genetic changes in DNMT3A. Paragangliomas have also been observed in non-syndromic patients with genetic alterations in DNMT3A. We describe a patient with clinical features of Heyn-Sproul-Jackson syndrome such as …

Sex Differences In Inter-Temporal Decision Making And Cortical Thickness Of The Orbitofrontal And Insula In Young Adult Cannabis Users: Evidence From 1111 Subjects, Alan N. Francis, Joan A. Camprodon, Francesca Filbey

School of Medicine Publications

To test for sex differences in the impact of cannabis use on decision-making and brain correlates, we employed cortical thickness (CT) analysis of brain regions involved in intertemporal decision-making namely bilateral orbitofrontal cortex(OFC) and insula in young adult nondependent cannabis-users(CU) and non-users(NU) and their scores on delay discounting task. Neuroimaging analyzes of previously collected data were performed on 608CU and 503NU. CT analysis was performed on MRI images. OFC and insula thickness, scores on the delay discounting test were compared between groups and correlated. Controlling alcohol-use and intra-cranial-volume, CU exhibited sex differences in CT. The bilateral insula was significantly thinner …

Alpha-Synuclein Interaction With Gedunin, Tony Matundura Nyabayo

Graduate Theses/Dissertations

Parkinson’s disease (PD) and other Proteinopathies develop when α-synuclein misfolds and aggregates into toxic amyloids. While existing treatments for PD are primarily focused on managing its symptoms, a viable solution for slowing down the progress of Parkinson’s disease involves targeting the toxic α-synuclein amyloids. Gedunin, a natural inhibitor of heat shock protein 90, has been extensively used to treat malaria. Also, recent research investigations have shed light on its potential beyond malaria therapy, indicating that Gedunin may offer a possible solution for treating a variety of neurodegenerative diseases. Using plate-based assays, we examined how Gedunin influences α-synuclein fibrillation and its …

Pattern Integration And Differentiation: Dual Process Model Of Episodic Memory, Hallvard Røe Evensmoen, Lars M. Rimol, Henning Stople Rise, Tor Ivar Hansen, Hamed Nili, Anderson M. Winkler, Asta K. Håberg

Human Genetics Publications

The role of precise timing in episodic memory remains obscure. We showed 139 participants episodes consisting of objects, and tested subsequent memory for the precise timing and order of the objects and episodes. Temporal compression of the episode enhanced memory for relative but not absolute timing of the objects’ presentation and their order. Conversely, temporal expansion between neighboring episodes was associated with successful memory for episode order. fMRI in 36 participants revealed that temporal compression of the episode was associated with more similar activation patterns within episodes in several brain regions including the posterior hippocampus. However, the activation pattern in …

Learning Paradigms For Rhythm Detection And Generation Using Mathematical Models, Biophysical And Artificial Neural Networks, Prianka Bose

Dissertations

Humans possess an inherent ability to recognize evenly-spaced rhythms, known as isochronous rhythms, owing to the brain's predisposition to entrain to external auditory stimuli with regular temporal intervals. The central focus of this research is to understand how the brain learns and retains rhythmic time intervals in the context of music. This dissertation studies rhythm detection and generation through mathematical models, biophysical networks, and artificial neural networks, addressing both isochronous and non-isochronous patterns.

A primary focus of the thesis is on isochronous rhythms. In particular, given a perturbation to an isochronous rhythm such as a tempo change or phase shift …

Towards A Multimodal Approach For Assessing Adhd Hyperactivity Behaviors, Franceli L. Cibrian, Lauren Min, Vitica Arnold

Engineering Faculty Articles and Research

Attention Deficit Hyperactivity Disorder (ADHD) is the most prevalent childhood psychiatric condition that needs an assessment of inattention, hyperactivity, and impulsiveness symptoms. Particularly in young children, hyperactivity-impulsivity stands out as a primary concern. However, those behaviors may or may not be evidenced when a child is in a small room, one-on-one with a single adult. Therefore, Ambient Intelligence technology that supports data collection in a natural setting, paired with expert human decision-making can potentially improve the quality of assessments. In this paper, we conduct a literature review and analysis to align ADHD assessment criteria with potential sensor technologies to collect …

Developing Naturalistic Precision Functional Mapping For High-Density Diffuse Optical Tomography, Aahana Bajracharya

McKelvey School of Engineering Graduate Student Theses & Dissertations

Advancements in non-invasive imaging have enabled extensive research into higher-order cognitive functions of the brain. Functional Magnetic Resonance Imaging (fMRI) has provided valuable insights into brain networks underlying various cognitive processes. However, limitations such as confined environments and scanner noise pose challenges for fMRI to be broadly applicable across all demographics and experimental conditions, especially in speech and language studies. Because of this, there is a need for complementary techniques that can help understand the brain as it functions during everyday scenarios. High Density Diffuse Optical Tomography (HD-DOT) is an emerging functional near-infrared spectroscopy-based technique with comparative advantages over fMRI, …

Developing Naturalistic Precision Functional Mapping For High-Density Diffuse Optical Tomography, Aahana Bajracharya

McKelvey School of Engineering Graduate Student Theses & Dissertations

Advancements in non-invasive imaging have enabled extensive research into higher-order cognitive functions of the brain. Functional Magnetic Resonance Imaging (fMRI) has provided valuable insights into brain networks underlying various cognitive processes. However, limitations such as confined environments and scanner noise pose challenges for fMRI to be broadly applicable across all demographics and experimental conditions, especially in speech and language studies. Because of this, there is a need for complementary techniques that can help understand the brain as it functions during everyday scenarios. High Density Diffuse Optical Tomography (HD-DOT) is an emerging functional near-infrared spectroscopy-based technique with comparative advantages over fMRI, …

Age-Related Tfeb Downregulation In Proximal Tubules Causes Systemic Metabolic Disorders And Occasional Apolipoprotein A4-Related Amyloidosis, Jun Nakamura, Takeshi Yamamoto, Yoshitsugu Takabatake, Tomoko Namba-Hamano, Atsushi Takahashi, Jun Matsuda, Satoshi Minami, Shinsuke Sakai, Hiroaki Yonishi, Shihomi Maeda, Sho Matsui, Hideaki Kawai, Isao Matsui, Tadashi Yamamuro, Ryuya Edahiro, Seiji Takashima, Akira Takasawa, Yukinori Okada, Tamotsu Yoshimori, Andrea Ballabio, Yoshitaka Isaka

Duncan NRI Faculty and Staff Publications

With the aging of society, the incidence of chronic kidney disease (CKD), a common cause of death, has been increasing. Transcription factor EB (TFEB), the master transcriptional regulator of the autophagy/lysosomal pathway, is regarded as a promising candidate for preventing various age-related diseases. However, whether TFEB in the proximal tubules plays a significant role in elderly patients with CKD remains unknown. First, we found that nuclear TFEB localization in proximal tubular epithelial cells (PTECs) declined with age in both mice and humans. Next, we generated PTEC-specific Tfeb-deficient mice and bred them for up to 24 months. We found that TFEB …

Mild Traumatic Brain Injury In Justice-Involved Individuals And Executive Function Consequences On Transition And Reintegration Into The Community, Alaina L. Randerson

Student Capstone Papers

The United States has the highest documented incarceration rate in the world (Carson, 2022), with an increasing number of justice-involved individuals (JII) potentially affected by mild traumatic brain injury (mTBI). Despite the high prevalence of mTBIs in the general population, limited research exists on the prevalence and impact of mTBIs in JII. Preliminary evidence suggests that the prevalence of mTBIs in incarcerated individuals is 50 times higher than in the general public (Siegler et al., 2017). This study aimed to explore the lived experiences of JII with mTBI, focusing on the origin of mTBIs, executive dysfunction, and the occupational barriers …

Identification Of An Early Subset Of Cerebellar Nuclei Neurons In Mice, Maryam Rahimi-Balaei, Shayan Amiri, Thomas Lamonerie, Sih-Rong Wu, Huda Y Zoghbi, G Giacomo Consalez, Daniel Goldowitz, Hassan Marzban

Duncan NRI Faculty and Staff Publications

Cerebellar nuclei (CN) neurons serve as the primary output of the cerebellum and originate from the cerebellar primordium at early stages of cerebellar development. These neurons are diverse, integrating information from the cerebellar cortex and relaying it to various brain regions. Employing various methodologies, we have characterized a specific subset of CN neurons that do not originate from the rhombic lip or ventricular zone of the cerebellar primordium. Embryos were collected at early stages of development and processed for immunohistochemistry (IHC), western blotting, in situ hybridization (ISH), embryonic culture, DiI labeling, and flow cytometry analysis (FCM). Our findings indicate that …

Etherealbreathing: A Holographic Biofeedback Game To Support Relaxation In Autistic Children, Arturo Morales Téllez, Isabel López Hurtado, Franceli L. Cibrian, Monica Tentori

Engineering Faculty Articles and Research

Biofeedback training for box breathing is becoming increasingly accessible due to advancements in consumer-grade breathing sensors. However, there is limited research on their design and applications for specialized populations. This study evaluates a novel biofeedback holographic game, EtherealBreathing, designed to support autistic children. In EtherealBreathing, children practice box breathing to collect virtual elements to maintain the Earth's balance, using a wearable sensor to measure chest expansion for breath detection. A deployment study with 20 autistic children revealed that EtherealBreathing effectively promotes box breathing, leading to better health-related outcomes, such as lowering participants’ heart and respiratory rates than traditional practices. Biofeedback …

Verbal Working Memory And Syntactic Comprehension Segregate Into The Dorsal And Ventral Streams, Respectively, William Matchin, Zeinab K. Mollasaraei, Leonardo Bonilha, Christopher Rorden, Gregory Hickok, Dirk B. Den Ouden, Julius Fridriksson

Communication Sciences and Disorders Faculty Articles and Research

Syntactic processing and verbal working memory are both essential components to sentence comprehension. Nonetheless, the separability of these systems in the brain remains unclear. To address this issue, we performed causal-inference analyses based on lesion and connectome network mapping using MRI and behavioural testing in two groups of individuals with chronic post-stroke aphasia. We employed a rhyme judgement task with heavy working memory load without articulatory confounds, controlling for the overall ability to match auditory words to pictures and to perform a metalinguistic rhyme judgement, isolating the effect of working memory load (103 individuals). We assessed non-canonical sentence comprehension, isolating …