Neurosciences Commons^™

Tead-Independent Mechanisms Of Yap Function In Cardiomyocyte Cell Cycle Reentry, Bing Xie, Jeffrey Steimle, Vaibhav Deshmukh, Lin Liu, Chang-Ru Tsai, Todd R Heallen, Wyatt Paltzer, Yuka Morikawa, Fansen Meng, Jun Wang, James F Martin

Faculty, Staff and Students Publications

Adult mammalian hearts exhibit limited regenerative capacity because of the restricted renewal of cardiomyocytes. Recent studies reveal that mammalian hearts exhibit transient regenerative potential within a short time frame after birth, suggesting a regulatory mechanism that prevents adult hearts from initiating a regenerative response to cardiac injury. Here, we discovered that an active form of YAP, named YAP6SA, which is not inhibited by the Hippo signaling pathway and does not interact with TEADs, induces cardiomyocyte cell cycle reentry. In addition, YAP6SA interacts with scaffold protein MPDZ to regulate Rho GTPases and promote cell cycle progression in cardiomyocytes (CMs). Importantly, YAP6SA …

A Molecular Renaissance In Alzheimer's Disease Research: The Rise Of Systems Biology And Spatial Omics, Lucia M. Perez-Navarro, Juan Lopez-Alvarenga

School of Medicine Publications

Recent advances in multi-omics and spatial proteomics are reshaping our understanding of Alzheimer's disease. Guo et al.1 applied integrative multi-omics to stratify mild cognitive impairment into biologically distinct subtypes with divergent progression trajectories: one metabolically impaired and slow-progressing, the other immune-activated and rapidly declining. Current techniques such as STC-DESI, LCM-MS, and machine learning enhance regional proteomic resolution, supporting biomarker discovery and spatially targeted interventions. This work exemplifies a broader shift toward precision medicine and a systems-level molecular framework in neurodegenerative disease research.

Heightened Risk: Childhood Trauma And Anticipatory Grief Exacerbate The Impact Of Loneliness On Depressive Symptoms And Lps-Stimulated Cytokines In Dementia Caregivers, Kelly N Brice, Jensine Paoletti-Hatcher, E Lydia Wu-Chung, Vincent D Lai, Daniel L Argueta, Michelle A Chen, Itee Mahant, Bryan T Denny, Charles Green, Luis D Medina, Paul Schulz, Jennifer Stinson, Samantha K Henry, Cobi Heijnen, Christopher P Fagundes

Faculty, Staff and Student Publications

Dementia spousal caregivers are at a disproportionate risk for adverse mental and physical health outcomes. Loneliness is associated with depressive symptoms and proinflammatory cytokine production among caregivers. Additionally, childhood trauma, anticipatory grief, and poor sleep quality are all associated with enhanced stress reactivity. This study used a cross-sectional design to investigate whether loneliness is associated with proinflammatory cytokine production and depressive symptoms in caregivers, and whether these relationships are strongest among caregivers who report high levels of childhood trauma, high amounts of anticipatory grief, or poor sleep quality. A sample of 111 dementia spousal caregivers provided blood samples and completed …

Risk Of Major Depression In Partners Of People With Alzheimer's Disease: A National Cohort Study, Casey Crump, Jingkai Wei, Barbara G Vickrey, Alexis C Edwards, Paul E Schulz, Weiva Sieh, Jan Sundquist, Kristina Sundquist

Faculty, Staff and Student Publications

Background: Alzheimer's disease (AD) may cause significant psychosocial distress not only in the patient but also their partner. However, long-term risks of major depression in partners of AD patients are largely unknown.

Methods: A national cohort study was conducted of all 145 289 partners of people diagnosed with all-cause dementia, including 57 113 partners of people diagnosed with AD, in Sweden during 1998-2017, and 1 300 561 population-based controls. Cox regression was used to compute hazard ratios (HRs) for subsequent risk of major depression identified from nationwide outpatient and inpatient diagnoses through 2018, adjusting for sociodemographic factors and prior mental …

Sensory Neuron-Expressed Fgf13 Controls Nociceptive Signaling In Diabetic Neuropathy Models, Aditya K Singh, Matteo Bernabucci, Nolan M Dvorak, Zahra Haghighijoo, Jessica Di Re, Nana A Goode, Feni K Kadakia, Laura A Maile, Olumarotimi O Folorunso, Paul A Wadsworth, Cynthia M Tapia, Pingyuan Wang, Jigong Wang, Haiying Chen, Yu Xue, Jully Singh, Kali Hankerd, Isaac J Gamez, Makenna Kager, Vincent Truong, Patrick Walsh, Stephanie I Shiers, Nishka Kuttanna, Hanyue Liao, Margherita Marchi, Erika Salvi, Ilaria D'Amato, Daniela D'Amico, Parsa Arman, Catharina G Faber, Rayaz A Malik, Marina De Tommaso, Dan Ziegler, Krishna Rajarathnam, Thomas A Green, Peter M Grace, Matthew R Sapio, Michael J Iadarola, Gregory D Cuny, Diana S Chow, Giuseppe Lauria Pinter, Steve Davidson, Dustin P Green, Jun-Ho La, Jin Mo Chung, Jia Zhou, Theodore J Price, Elizabeth Salisbury, Subo Yuan, Fernanda Laezza

Faculty, Staff and Student Publications

Nociception involves complex signaling, yet intrinsic mechanisms bidirectionally regulating this process remain unexplored. Here, we show that the fibroblast growth factor 13 (FGF13)/Nav1.7 protein-protein interaction (PPI) complex bidirectionally modulates nociception, and that the FGF13/Nav1.7 ratio is upregulated in type 2 diabetic neuropathy (T2DN). PW164, an FGF13/Nav1.7 channel C-terminal tail domain (CTD) PPI interface inhibitor, which reduces complex assembly, selectively suppressed Na+ currents sensitized by capsaicin-induced activation of TRPV1 channels in human induced pluripotent stem cell-derived (hIPSC-derived) sensory neurons and inhibited mechanical and thermal hyperalgesia in mice. FGF13 silencing mimics PW164 activity in culture and in vivo. Conversely, ZL192, an FGF13 …

Identification And Catalog Of Viral Transcriptional Regulators In Human Diseases, Citu Citu, Le Chang, Astrid M Manuel, Nitesh Enduru, Zhongming Zhao

Faculty, Staff and Student Publications

Viral genomes encode viral transcriptional regulators (vTRs) that manipulate host gene expression to facilitate replication and evade immune detection. Nevertheless, their role in non-cancerous diseases remains largely underexplored. Here, we unveiled 268 new candidate vTRs from 14 of the 20 viral families we investigated. We mapped vTRs' genome-wide binding profiles and identified their potential human targets, which were enriched in immune-mediated pathways, neurodegenerative disorders, and cancers. Through vTR DNA-binding preference analysis, 283 virus-specific and human-like motifs were identified. Prioritized Epstein-Barr virus (EBV) vTR target genes were associated with multiple sclerosis (MS), rheumatoid arthritis, and systemic lupus erythematosus. The partitioned heritability …

Protocol For Unlocking Alternative Polyadenylation Insights From Bulk Rna-Seq Data With Polyaminer-Bulk, Venkata Jonnakuti, Sriya Jonnakuti, Hari Krishna Yalamanchili

Duncan NRI Faculty and Staff Publications

PolyAMiner-Bulk, a deep-learning-based algorithm to decode alternative polyadenylation (APA) dynamics from bulk RNA sequencing (RNA-seq) data, enables scientists to identify and quantify APA events from processed bulk RNA-seq data. The protocol allows researchers to explore differential APA usage between two conditions and gain a better understanding of post-transcriptional regulatory mechanisms. The major steps involve input data preparation, executing PolyAMiner-Bulk, and interpreting the results. A basic familiarity with pre-processing bulk RNA-seq data and command-line tools is suggested.

For complete details on the use and execution of this protocol, please refer to Jonnakuti et al.¹

Diverse Ancestral Representation Improves Genetic Intolerance Metrics, Alexander L Han, Chloe F Sands, Dorota Matelska, Jessica C Butts, Vida Ravanmehr, Fengyuan Hu, Esmeralda Villavicencio Gonzalez, Nicholas Katsanis, Carlos D Bustamante, Quanli Wang, Slavé Petrovski, Dimitrios Vitsios, Ryan S Dhindsa

Duncan NRI Faculty and Staff Publications

The unprecedented scale of genomic databases has revolutionized our ability to identify regions in the human genome intolerant to variation—regions often implicated in disease. However, these datasets remain constrained by limited ancestral diversity. Here, we analyze whole-exome sequencing data from 460,551 UK Biobank and 125,748 Genome Aggregation Database (gnomAD) participants across multiple ancestries to test several key intolerance metrics, including the Residual Variance Intolerance Score (RVIS), Missense Tolerance Ratio (MTR), and Loss-of-Function Observed/Expected ratio (LOF O/E). We demonstrate that increasing ancestral representation, rather than sample size alone, critically drives their performance. Scores trained on variation observed in African and Admixed …

Exploration Of Working Memory Retrieval Stage For Mild Cognitive Impairment: Time-Varying Causality Analysis Of Electroencephalogram Based On Dynamic Brain Networks, Yi Jiang, Zhiwei Guo, Xiaobo Zhou, Ning Jiang, Jiayuan He

Faculty, Staff and Student Publications

Background: Mild Cognitive Impairment (MCI) is an intermediate stage between the expected cognitive decline of normal aging and Alzheimer's disease (AD). Its management is crucial for it helps intervene and slow the progression of cognitive decline to AD. However, the understanding of the MCI mechanism is not completely clear. As working memory (WM) damage is a common symptom of MCI, this study focused on the core stage of WM, i.e., the memory retrieval stage, to investigate information processing and the causality relationships among brain regions based on electroencephalogram (EEG) signals.

Method: 21 MCI and 20 normal cognitive control (NC) participants …

Longitudinal Multi-Omics In Alpha-Synuclein Drosophila Model Discriminates Disease- From Age-Associated Pathologies In Parkinson’S Disease, Justin Moore, Timothy Wu, Justin Dhindsa, Omar El Fadel, Anh Le, Alma Perez, Bismark Amoh, Akash Tarkunde, Katy F Zhu, Matthew Avalos, Eric B Dammer, Duc M Duong, Nicholas T Seyfried, Joshua M Shulman, Ismael Al-Ramahi, Juan Botas

Duncan NRI Faculty and Staff Publications

Parkinson's disease (PD) starts decades before symptoms appear, usually in the later decades of life, when age-related changes are occurring. To identify molecular changes early in the disease course and distinguish PD pathologies from aging, we generated Drosophila expressing alpha-synuclein (αSyn) in neurons and performed longitudinal bulk transcriptomics and proteomics on brains at six time points across the lifespan and compared the data to healthy control flies as well as human post-mortem brain datasets. We found that translational and energy metabolism pathways were downregulated in αSyn flies at the earliest timepoints; comparison with the aged control flies suggests that elevated …

Understanding Pediatric Bipolar Disorder Through The Investigation Of Clinical, Neuroanatomic, Neurophysiological And Neurocognitive Dimensions: A Pilot Study, Alessio Simonetti, Evelina Bernardi, Sherin Kurian, Antonio Restaino, Claudia Calderoni, Emanuela De Chiara, Francesca Bardi, Gabriele Sani, Jair C Soares, Kirti Saxena

Faculty, Staff and Student Publications

Background: Pathophysiological models of pediatric bipolar disorder (PBD) are lacking. Multimodal approaches may provide a comprehensive description of the complex relationship between the brain and behavior. Aim: To assess behavioral, neuropsychological, neurophysiological, and neuroanatomical alterations in youth with PBD.

Methods: Subjects with PBD (n = 23) and healthy controls (HCs, n = 23) underwent (a) clinical assessments encompassing the severity of psychiatric symptoms, (b) neuropsychological evaluation, (c) analyses of event-related potentials (related to the passive viewing of fearful, neutral, and happy faces during electroencephalography recording, and (d) cortical thickness and deep gray matter volume measurement using magnetic …

Optimizing Electrode Configurations For Eeg Mild Cognitive Impairment Detection, Yi Jiang, Xin Zhang, Zhiwei Guo, Xiaobo Zhou, Jiayuan He, Ning Jiang

Faculty, Staff and Student Publications

The Optimal electrode configuration of Electroencephalograms (EEG) systems for mild cognitive impairment (MCI) detection and monitoring in non-clinical settings, i.e. number of electrodes and the positions of the electrodes, remains to be explored. In the current study, we explored the optimization of electrode configuration for MCI detection. We used a 32-channel EEG device to record the data of 21 MCI patients and 20 cognitively normal elderly (NC) undergoing working memory (WM) tasks. Based on the differential value (MCI group vs. NC group) from the Power Spectral Density (PSD) value of each electrode in θ and α frequency band during WM …

Optimizing Decision-Making In A Cerebral Palsy Model Using Reinforcement Learning, Richard Ampah

Pitzer Senior Theses

This study presents an original interdisciplinary investigation into how reinforcement learning (RL) can model motor and cognitive defects and potentially improve motor and cognitive functions in individuals with cerebral palsy (CP), a non-progressive neurological disorder that impairs movement and adaptability. Integrating computational neuroscience and machine learning, the research applies policy gradient methods and Markov Decision Processes (MDPs) to simulate adaptive learning in agents with and without CP-related constraints.

The central aim is to compare the cumulative rewards of optimal policies, derived from value iteration, and human-like learning policies using the REINFORCE algorithm, both with and without the Bellman baseline. The …

Neurocognitive Functioning Of Patients With Sinonasal And Nasopharyngeal Cancers Treated With Multimodality Therapy, Dan Yaniv, Lindsay M Niccolai, Jeffrey S Wefel, Catherine M Sullaway, Jack Phan, Clifton David Fuller, Kareem B Haroun, Ehab Y Hanna, Shirley Y Su

Faculty, Staff and Student Publications

Importance Few recent studies have examined neurocognitive functioning (NCF) in patients with sinonasal and nasopharyngeal cancers (NPCs) prior to and following multimodality therapy or the potential differences in NCF by disease variables such as disease site.

Objective The objective of this study is to determine rates of NCF impairments prior to and following multimodality therapy, declines in NCF following radiotherapy (RT), and possible differences in NCF by the disease site.

Design, Setting, and Participants We conducted a retrospective chart review of 39 patients with sinonasal and NPCs who underwent comprehensive neuropsychological evaluations. Twenty patients were evaluated prior to RT, of …

Tyk2 Regulates Tau Levels, Phosphorylation And Aggregation In A Tauopathy Mouse Model, Jiyoen Kim, Bakhos Tadros, Yan Hong Liang, Youngdoo Kim, Cristian Lasagna-Reeves, Jun Young Sonn, Dah-Eun Chloe Chung, Bradley Hyman, David M Holtzman, Huda Yahya Zoghbi

Faculty, Staff and Students Publications

Alzheimer's disease is one of at least 26 diseases characterized by tau-positive accumulation in neurons, glia or both. However, it is still unclear what modifications cause soluble tau to transform into insoluble aggregates. We previously performed genetic screens that identified tyrosine kinase 2 (TYK2) as a candidate regulator of tau levels. Here we verified this finding and found that TYK2 phosphorylates tau at tyrosine 29 (Tyr29) leading to its stabilization and promoting its aggregation in human cells. We discovered that TYK2-mediated Tyr29 phosphorylation interferes with autophagic clearance of tau. We also show that TYK2-mediated phosphorylation of Tyr29 facilitates pathological tau …

Sample Multiplexing For Retinal Single-Cell Rna Sequencing, Justin Ma, Ting-Kuan Chu, Maria Polo-Prieto, Yong H Park, Yumei Li, Rui Chen, Graeme Mardon, Benjamin J Frankfort, Nicholas M Tran

Faculty, Staff and Students Publications

Rare cell populations can be challenging to characterize using microfluidic single-cell RNA sequencing (scRNA-seq) platforms. Typically, the population of interest must be enriched and pooled from multiple biological specimens for efficient collection. However, these practices preclude the resolution of sample origin together with phenotypic data and are problematic in experiments in which biological or technical variation is expected to be high (e.g., disease models, genetic perturbation screens, or human samples). One solution is sample multiplexing whereby each sample is tagged with a unique sequence barcode that is resolved bioinformatically. We have established a scRNA-seq sample multiplexing pipeline for mouse retinal …

The Emerging Field Of Viroimmunotherapy For Pediatric Brain Tumors, Marc Garcia-Moure, Virginia Laspidea, Sumit Gupta, Andrew G Gillard, Soumen Khatua, Akhila Parthasarathy, Jiasen He, Frederick F Lang, Juan Fueyo, Marta M Alonso, Candelaria Gomez-Manzano

Faculty, Staff and Student Publications

Pediatric brain tumors are the most common solid tumors in children. Even to date, with the advances in multimodality therapeutic management, survival outcomes remain dismal in some types of tumors, such as pediatric-type diffuse high-grade gliomas or central nervous system embryonal tumors. Failure to understand the complex molecular heterogeneity and the elusive tumor and microenvironment interplay continues to undermine therapeutic efficacy. Developing a strategy that would improve survival for these fatal tumors remains unmet in pediatric neuro-oncology. Oncolytic viruses (OVs) are emerging as a feasible, safe, and promising therapy for brain tumors. The new paradigm in virotherapy implies that the …

Neuregulin1 Nuclear Signaling Influences Adult Neurogenesis And Regulates A Schizophrenia Susceptibility Gene Network Within The Mouse Dentate Gyrus, Prithviraj Rajebhosale, Alice Jone, Kory R Johnson, Rohan Hofland, Camille Palarpalar, Samara Khan, Lorna W Role, David A Talmage

Faculty, Staff and Student Publications

Neuregulin1 (Nrg1) signaling is critical for neuronal development and function from fate specification to synaptic plasticity. Type III Nrg1 is a synaptic protein which engages in bidirectional signaling with its receptor ErbB4. Forward signaling engages ErbB4 phosphorylation, whereas back signaling engages two known mechanisms: (1) local axonal PI3K-AKT signaling and (2) cleavage by γ-secretase resulting in cytosolic release of the intracellular domain (ICD), which can traffic to the nucleus (Bao et al., 2003; Hancock et al., 2008). To dissect the contribution of these alternate signaling strategies to neuronal development, we generated a transgenic mouse with a missense mutation (V

The Oncolytic Adenovirus Delta-24-Rgd In Combination With Onc201 Induces A Potent Antitumor Response In Pediatric High-Grade And Diffuse Midline Glioma Models, Daniel De La Nava, Iker Ausejo-Mauleon, Virginia Laspidea, Marisol Gonzalez-Huarriz, Andrea Lacalle, Noelia Casares, Marta Zalacain, Lucía Marrodan, Marc García-Moure, Maria C Ochoa, Antonio Carlos Tallon-Cobos, Reyes Hernandez-Osuna, Javier Marco-Sanz, Laasya Dhandapani, Irati Hervás-Corpión, Oren J Becher, Javad Nazarian, Sabine Mueller, Timothy N Phoenix, Jasper Van Der Lugt, Mikel Hernaez, Elizabeth Guruceaga, Carl Koschmann, Sriram Venneti, Joshua E Allen, Matthew D Dun, Juan Fueyo, Candelaria Gomez-Manzano, Jaime Gallego Perez-Larraya, Ana Patiño-García, Sara Labiano, Marta M Alonso

Faculty, Staff and Student Publications

BACKGROUND: Pediatric high-grade gliomas (pHGGs), including diffuse midline gliomas (DMGs), are aggressive pediatric tumors with one of the poorest prognoses. Delta-24-RGD and ONC201 have shown promising efficacy as single agents for these tumors. However, the combination of both agents has not been evaluated.

METHODS: The production of functional viruses was assessed by immunoblotting and replication assays. The antitumor effect was evaluated in a panel of human and murine pHGG and DMG cell lines. RNAseq, the seahorse stress test, mitochondrial DNA content, and γH2A.X immunofluorescence were used to perform mechanistic studies. Mouse models of both diseases were used to assess the …

Simulation-Based Caregiving Skills Training For Family Members Of High-Grade Glioma Patients, Meagan Whisenant, Shiao-Pei Weathers, Yisheng Li, Ellen Aldrich, Kristin Ownby, Jessica Thomas, An Ngo-Huang, Eduardo Bruera, Kathrin Milbury

Faculty, Staff and Student Publications

BACKGROUND: Because family caregivers of patients with a high-grade glioma experience high levels of distress and feel unprepared to perform the complex caregiving tasks associated with the disease and its treatment, we pilot-tested a caregiving skills intervention that integrates hands-on caregiving with coping skill training.

METHODS: In this single-arm trial, caregivers participated in a 4-session research nurse-led intervention involving simulation-based caregiving skills training at the hospital and psychoeducation delivered via videoconference. We collected measures of patients' and caregivers' psychological symptoms; caregivers' caregiving self-efficacy and role adjustment; and patients' cancer-related symptoms (MDASI) at baseline and again postintervention. We tracked feasibility data. …

Cholesterol-Dependent Lxr Transcription Factor Activity Represses Pronociceptive Effects Of Estrogen In Sensory Neurons And Pain Induced By Myelin Basic Protein Fragments, Swathi K Hullugundi, Jennifer Dolkas, Andrei V Chernov, Tony L Yaksh, Kelly A Eddinger, Mila Angert, Glaucilene Ferreira Catroli, Alex Y Strongin, Patrick M Dougherty, Yan Li, Oswal Quehenberger, Aaron Armando, Veronica I Shubayev

Faculty, Staff and Student Publications

BACKGROUND: A bioactive myelin basic protein (MBP) fragment, comprising MBP

METHODS: In male and female normal and post-CCI rat sciatic nerves, we assessed: (i) cholesterol precursor and metabolite levels by lipidomics; (ii) MBP

RESULTS: CCI regulated LXRα ligand and receptor levels in nerves of both sexes, with cholesterol precursors, desmosterol and 7-DHC, and oxysterol elevated in females relative to males. MBP

CONCLUSION: The injury-released bioactive MBP fragments induce pronociceptive changes by selective inactivation of nuclear transcription factors, including LXRα. By Ncoa1 sequestration, bioactive MBP fragments render LXRα function to counteract pronociceptive activity of estrogen/ESR1 in sensory neurons. This effect of …

Comprehensive Single-Cell Atlas Of The Mouse Retina, Jin Li, Jongsu Choi, Xuesen Cheng, Justin Ma, Shahil Pema, Joshua R Sanes, Graeme Mardon, Benjamin J Frankfort, Nicholas M Tran, Yumei Li, Rui Chen

Faculty, Staff and Students Publications

Single-cell RNA sequencing (scRNA-seq) has advanced our understanding of cellular heterogeneity by characterizing cell types across tissues and species. While several mouse retinal scRNA-seq datasets exist, each dataset is either limited in cell numbers or focused on specific cell classes, thereby hindering comprehensive gene expression analysis across all retina types. To fill the gap, we generated the largest retinal scRNA-seq dataset to date, comprising approximately 190,000 single cells from C57BL/6J mouse retinas, enriched for rare population cells via antibody-based magnetic cell sorting. Integrating this dataset with public datasets, we constructed the Mouse Retina Cell Atlas (MRCA) for wild-type mice, encompassing …

Brain Cell-Type Shifts In Alzheimer’S Disease, Autism, And Schizophrenia Interrogated Using Methylomics And Genetics, Chloe X Yap, Daniel D Vo, Matthew G Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilis Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Pasaniuc, Jonathan Mill, Chongyuan Luo, Michael J Gandal

Faculty, Staff and Student Publications

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer's disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer's disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial …

Generalizing Parkinson’S Disease Detection Using Keystroke Dynamics: A Self-Supervised Approach, Shikha Tripathi, Alejandro Acien, Ashley A Holmes, Teresa Arroyo-Gallego, Luca Giancardo

Faculty, Staff and Student Publications

Objective: Passive monitoring of touchscreen interactions generates keystroke dynamic signals that can be used to detect and track neurological conditions such as Parkinson's disease (PD) and psychomotor impairment with minimal burden on the user. However, this typically requires datasets with clinically confirmed labels collected in standardized environments, which is challenging, especially for a large subject pool. This study validates the efficacy of a self-supervised learning method in reducing the reliance on labels and evaluates its generalizability.

Materials and methods: We propose a new type of self-supervised loss combining Barlow Twins loss, which attempts to create similar feature representations with reduced …

Dlk-Mapk Signaling Coupled With Dna Damage Promotes Intrinsic Neurotoxicity Associated With Non-Mutated Tau, Sanming Li, Ethan R Roy, Yanyu Wang, Trent Watkins, Wei Cao

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is the most prevalent form of neurodegeneration. Despite the well-established link between tau aggregation and clinical progression, the major pathways driven by this protein to intrinsically damage neurons are incompletely understood. To model AD-relevant neurodegeneration driven by tau, we overexpressed non-mutated human tau in primary mouse neurons and observed substantial axonal degeneration and cell death, a process accompanied by activated caspase 3. Mechanistically, we detected deformation of the nuclear envelope and increased DNA damage response in tau-expressing neurons. Gene profiling analysis further revealed significant alterations in the mitogen-activated protein kinase (MAPK) pathway; moreover, inhibitors of dual leucine …

Alterations In Brain Morphometric Networks And Their Relationship With Memory Dysfunction In Patients With Type 2 Diabetes Mellitus, Rye Young Kim, Yoonji Joo, Eunji Ha, Haejin Hong, Chaewon Suh, Youngeun Shim, Hyeonji Lee, Yejin Kim, Jae-Hyoung Cho, Sujung Yoon, In Kyoon Lyoo

Faculty, Staff and Student Publications

Cognitive dysfunction, a significant complication of type 2 diabetes mellitus (T2DM), can potentially manifest even from the early stages of the disease. Despite evidence of global brain atrophy and related cognitive dysfunction in early-stage T2DM patients, specific regions vulnerable to these changes have not yet been identified. The study enrolled patients with T2DM of less than five years’ duration and without chronic complications (T2DM group, n=100) and demographically similar healthy controls (control group, n=50). High-resolution T1-weighted magnetic resonance imaging data were subjected to independent component analysis to identify structurally significant components indicative of morphometric networks. Within these networks, the groups’ …

Interaction Of High-Fat Diet And Brain Trauma Alters Adipose Tissue Macrophages And Brain Microglia Associated With Exacerbated Cognitive Dysfunction, Rebecca J Henry, James P Barrett, Maria Vaida, Niaz Z Khan, Oleg Makarevich, Rodney M Ritzel, Alan I Faden, Bogdan A Stoica

Faculty, Staff and Student Publications

Obesity increases the morbidity and mortality of traumatic brain injury (TBI). Detailed analyses of transcriptomic changes in the brain and adipose tissue were performed to elucidate the interactive effects between high-fat diet-induced obesity (DIO) and TBI. Adult male mice were fed a high-fat diet (HFD) for 12 weeks prior to experimental TBI and continuing after injury. High-throughput transcriptomic analysis using Nanostring panels of the total visceral adipose tissue (VAT) and cellular components in the brain, followed by unsupervised clustering, principal component analysis, and IPA pathway analysis were used to determine shifts in gene expression patterns and molecular pathway activity. Cellular …

Gabaergic/Glycinergic And Glutamatergic Neurons Mediate Distinct Neurodevelopmental Phenotypes Of Stxbp1 Encephalopathy, Joo Hyun Kim, Wu Chen, Eugene S Chao, Armando Rivera, Heet Naresh Kaku, Kevin Jiang, Dongwon Lee, Hongmei Chen, Jaimie M Vega, Teresa V Chin, Kevin Jin, Kelly T Nguyen, Sheldon S Zou, Zain Moin, Shawn Nguyen, Mingshan Xue 薛名杉

Faculty, Staff and Students Publications

An increasing number of pathogenic variants in presynaptic proteins involved in the synaptic vesicle cycle are being discovered in neurodevelopmental disorders. The clinical features of these synaptic vesicle cycle disorders are diverse, but the most prevalent phenotypes include intellectual disability, epilepsy, movement disorders, cerebral visual impairment, and psychiatric symptoms ( Verhage and Sørensen, 2020; Bonnycastle et al., 2021; John et al., 2021; Melland et al., 2021). Among this growing list of synaptic vesicle cycle disorders, the most frequent is STXBP1 encephalopathy caused by de novo heterozygous pathogenic variants in syntaxin-binding protein 1 (STXBP1, also known as …

Population Coding Of Strategic Variables During Foraging In Freely Moving Macaques, Neda Shahidi, Melissa Franch, Arun Parajuli, Paul Schrater, Anthony Wright, Xaq Pitkow, Valentin Dragoi

Faculty, Staff and Student Publications

Until now, it has been difficult to examine the neural bases of foraging in naturalistic environments because previous approaches have relied on restrained animals performing trial-based foraging tasks. Here we allowed unrestrained monkeys to freely interact with concurrent reward options while we wirelessly recorded population activity in the dorsolateral prefrontal cortex. The animals decided when and where to forage based on whether their prediction of reward was fulfilled or violated. This prediction was not solely based on a history of reward delivery, but also on the understanding that waiting longer improves the chance of reward. The task variables were continuously …

Tumor Treating Fields Suppress Tumor Cell Growth And Neurologic Decline In Models Of Spinal Metastases, Daniel Ledbetter, Romulo Augusto Andrade De Almeida, Xizi Wu, Ariel Naveh, Chirag B Patel, Queena Gonzalez, Thomas H Beckham, Robert North, Laurence Rhines, Jing Li, Amol Ghia, David Aten, Claudio Tatsui, Christopher Alvarez-Breckenridge

Faculty, Staff and Student Publications

Spinal metastases can result in severe neurologic compromise and decreased overall survival. Despite treatment advances, local disease progression is frequent, highlighting the need for novel therapies. Tumor treating fields (TTFields) impair tumor cell replication and are influenced by properties of surrounding tissue. We hypothesized that bone's dielectric properties will enhance TTFields-mediated suppression of tumor growth in spinal metastasis models. Computational modeling of TTFields intensity was performed following surgical resection of a spinal metastasis and demonstrated enhanced TTFields intensity within the resected vertebral body. Additionally, luciferase-tagged human KRIB osteosarcoma and A549 lung adenocarcinoma cell lines were cultured in demineralized bone grafts …