Neurosciences Commons^™

Response Assessment In Pediatric Craniopharyngioma: Recommendations From The Response Assessment In Pediatric Neuro-Oncology (Rapno) Working Group, Lindsey M Hoffman, Camilo Jaimes, Kshitij Mankad, David M Mirsky, Benita Tamrazi, Christopher L Tinkle, Cassie Kline, Aparna Ramasubramanian, Fatema Malbari, Ross Mangum, Holly Lindsay, Vincent Horne, David J Daniels, Sameer Keole, David R Grosshans, Tina Young Poussaint, Roger Packer, Sergio Cavalheiro, Brigitte Bison, Todd C Hankinson, Hermann L Müller, Ute Bartels, Katherine E Warren, Murali Chintagumpala

Faculty, Staff and Student Publications

BACKGROUND: Craniopharyngioma is a histologically benign tumor of the suprasellar region for which survival is excellent but quality of life is often poor secondary to functional deficits from tumor and treatment. Standard therapy consists of maximal safe resection with or without radiation therapy. Few prospective trials have been performed, and response assessment has not been standardized.

METHODS: The Response Assessment in Pediatric Neuro-Oncology (RAPNO) committee devised consensus guidelines to assess craniopharyngioma response prospectively.

RESULTS: Magnetic resonance imaging is the recommended radiologic modality for baseline and follow-up assessments. Radiologic response is defined by 2-dimensional measurements of both solid and cystic tumor …

Synthesize Heterogeneous Biological Knowledge Via Representation Learning For Alzheimer’S Disease Drug Repurposing, Kang-Lin Hsieh, German Plascencia-Villa, Ko-Hong Lin, George Perry, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

Developing drugs for treating Alzheimer's disease has been extremely challenging and costly due to limited knowledge of underlying mechanisms and therapeutic targets. To address the challenge in AD drug development, we developed a multi-task deep learning pipeline that learns biological interactions and AD risk genes, then utilizes multi-level evidence on drug efficacy to identify repurposable drug candidates. Using the embedding derived from the model, we ranked drug candidates based on evidence from post-treatment transcriptomic patterns, efficacy in preclinical models, population-based treatment effects, and clinical trials. We mechanistically validated the top-ranked candidates in neuronal cells, identifying drug combinations with efficacy in …

Circadian Rhythms As Modulators Of Brain Health During Development And Throughout Aging, Rachel Van Drunen, Kristin Eckel-Mahan

Faculty, Staff and Student Publications

The circadian clock plays a prominent role in neurons during development and throughout aging. This review covers topics pertinent to the role of 24-h rhythms in neuronal development and function, and their tendency to decline with aging. Pharmacological or behavioral modification that augment the function of our internal clock may be central to decline of cognitive disease and to future chronotherapy for aging-related diseases of the central nervous system.

Single-Cell Multi-Omics Integration For Unpaired Data By A Siamese Network With Graph-Based Contrastive Loss, Chaozhong Liu, Linhua Wang, Zhandong Liu

Faculty, Staff and Students Publications

BACKGROUND: Single-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types. However, it is still challenging to integrate omics data from different modalities. Here, we propose a variation of the Siamese neural network framework called MinNet, which is trained to integrate multi-omics data on the single-cell resolution by using graph-based contrastive loss.

RESULTS: By training the model and testing it on several benchmark datasets, we showed its accuracy and generalizability in integrating scRNA-seq with scATAC-seq, and scRNA-seq with epitope data. Further evaluation demonstrated our model's unique ability to remove the batch …

Characterizing Performance Gaps Of A Code-Based Dementia Algorithm In A Population-Based Cohort Of Cognitive Aging, Maria Vassilaki, Sunyang Fu, Luke R Christenson, Muskan Garg, Ronald C Petersen, Jennifer St Sauver, Sunghwan Sohn

Faculty, Staff and Student Publications

BACKGROUND: Multiple algorithms with variable performance have been developed to identify dementia using combinations of billing codes and medication data that are widely available from electronic health records (EHR). If the characteristics of misclassified patients are clearly identified, modifying existing algorithms to improve performance may be possible.

OBJECTIVE: To examine the performance of a code-based algorithm to identify dementia cases in the population-based Mayo Clinic Study of Aging (MCSA) where dementia diagnosis (i.e., reference standard) is actively assessed through routine follow-up and describe the characteristics of persons incorrectly categorized.

METHODS: There were 5,316 participants (age at baseline (mean (SD)): 73.3 …

Automated Detection Of Hippocampal Sclerosis Using Real-World Clinical Mri Images, Jingwen Jiang, Jiajun Qiu, Jin Yin, Junren Wang, Xinyue Jiang, Zuo Yi, Yang Chen, Xiaobo Zhou, Xiutian Sima

Faculty, Staff and Student Publications

BACKGROUND: Hippocampal sclerosis (HS) is the most common pathological type of temporal lobe epilepsy (TLE) and one of the important surgical markers. Currently, HS is mainly diagnosed manually by radiologists based on visual inspection of MRI, which greatly relies on MRI quality and physician experience. In clinical practice, non-thin MRI scans are often used due to the time and efficiency needed for the acquisition. However, these scans can be difficult for junior physicians to interpret accurately. Thus, the rapid and accurate diagnosis of HS using real-world MRI images in clinical settings is a challenging task.

OBJECTIVE: Our aim was to …

Integrating Comorbidity Knowledge For Alzheimer's Disease Drug Repurposing Using Multi-Task Graph Neural Network, Ko-Hong Lin, Kang-Lin Hsieh, Xiaoqian Jiang, Yejin Kim

Faculty, Staff and Student Publications

Alzheimer's Disease (AD) is a multifactorial disease that shares common etiologies with its multiple comorbidities, especially vascular diseases. To predict repurposable drugs for AD utilizing the relatively well-investigated comorbidities' knowledge, we proposed a multi-task graph neural network (GNN)-based pipeline that incorporates the corresponding biomedical interactome of these diseases with their genetic markers and effective therapeutics. Our pipeline can accurately capture the interactions and disease classification in the network. Next, we predicted drugs that might interact with the AD module by the node embedding similarity. Our candidates are mostly BBB permeable, and literature evidence showed their potential for treating AD pathologies, …

The Involvement Of Kynurenine Pathway In Neurodegenerative Diseases, Lais B Martins, Ana L M Silveira, Antonio L Teixeira

Faculty, Staff and Student Publications

BACKGROUND: A growing body of evidence has shown the involvement of the kynurenine pathway (KP), the primary route of tryptophan (TRP) catabolism, in the pathophysiology of neuropsychiatric disorders.

OBJECTIVE: The study aims to provide a comprehensive and critical overview of the clinical evidence on the KP involvement in the pathophysiology of Alzheimer's disease (AD) and Parkinson's disease (PD), discussing therapeutic opportunities.

METHODS: We searched for studies investigating KP metabolites in human subjects with AD and/or PD.

RESULTS: Postmortem studies showed altered levels of KP metabolites in the brain of AD and PD patients compared with controls. Cross-sectional studies have reported …

Preoperative Tractography Algorithm For Safe Resection Of Tumors Located In The Descending Motor Pathways Zone, Edgar G Ordonez-Rubiano, Jason M Johnson, Nadin Abdalá-Vargas, Oscar F Zorro, Jorge H Marin-Munoz, Ricardo Álvarez-Tobián, Valeria Forlizzi, Carlos Castillo Rangel, Sabino Luzzi, Alvaro Campero, Javier G Patiño-Gómez, Matias Baldoncini

Faculty, Staff and Student Publications

BACKGROUND: Diffusion tensor imaging (DTI) tractography facilitates maximal safe resection and optimizes planning to avoid injury during subcortical dissection along descending motor pathways (DMPs). We provide an affordable, safe, and timely algorithm for preoperative DTI motor reconstruction for gliomas adjacent to DMPs.

METHODS: Preoperative DTI reconstructions were extracted from a prospectively acquired registry of glioma resections adjacent to DMPs. The surgeries were performed over a 7-year period. Demographic, clinical, and radiographic data were extracted from patients' electronic medical records.

RESULTS: Nineteen patients (12 male) underwent preoperative tractography between January 1, 2013, and May 31, 2020. The average age was 44.5 …

Grid Cells, Border Cells, And Discrete Complex Analysis, Yuri Dabaghian

Faculty, Staff and Student Publications

We propose a mechanism enabling the appearance of border cells-neurons firing at the boundaries of the navigated enclosures. The approach is based on the recent discovery of discrete complex analysis on a triangular lattice, which allows constructing discrete epitomes of complex-analytic functions and making use of their inherent ability to attain maximal values at the boundaries of generic lattice domains. As it turns out, certain elements of the discrete-complex framework readily appear in the oscillatory models of grid cells. We demonstrate that these models can extend further, producing cells that increase their activity toward the frontiers of the navigated environments. …

Sphingolipids In Neurodegenerative Diseases, Xueyang Pan, Debdeep Dutta, Shenzhao Lu, Hugo J Bellen

Faculty, Staff and Students Publications

Neurodegenerative Diseases (NDDs) are a group of disorders that cause progressive deficits of neuronal function. Recent evidence argues that sphingolipid metabolism is affected in a surprisingly broad set of NDDs. These include some lysosomal storage diseases (LSDs), hereditary sensory and autonomous neuropathy (HSAN), hereditary spastic paraplegia (HSP), infantile neuroaxonal dystrophy (INAD), Friedreich’s ataxia (FRDA), as well as some forms of amyotrophic lateral sclerosis (ALS) and Parkinson’s disease (PD). Many of these diseases have been modeled in Drosophila melanogaster and are associated with elevated levels of ceramides. Similar changes have also been reported in vertebrate cells and mouse models. Here, we …

Frequency And Burden Of Neurological Manifestations Upon Hospital Presentation In Covid-19 Patients: Findings From A Large Brazilian Cohort, Milena Soriano Marcolino, Fernando Anschau, Luciane Kopittke, Magda Carvalho Pires, Izabela Guimarães Barbosa, Daniella Nunes Pereira, Lucas Emanuel Ferreira Ramos, Luís Fernando Israel Assunção, André Soares De Moura Costa, Matheus Carvalho Alves Nogueira, Helena Duani, Karina Paula Medeiros Prado Martins, Leila Beltrami Moreira, Carla Thais Cândida Alves Da Silva, Neimy Ramos De Oliveira, Patricia Klarmann Ziegelmann, Milton Henriques Guimarães-Júnior, Mauro Oscar Soares De Souza Lima, Rubia Laura Oliveira Aguiar, Luanna Silva Monteiro Menezes, Talita Fischer Oliveira, Maíra Dias Souza, Bárbara Lopes Farace, Christiane Corrêa Rodrigues Cimini, Amanda De Oliveira Maurílio, Silvana Mangeon Mereilles Guimarães, Silvia Ferreira Araújo, Guilherme Fagundes Nascimento, Daniel Vitório Silveira, Karen Brasil Ruschel, Thainara Conceição De Oliveira, Alexandre Vargas Schwarzbold, Luiz Antônio Nasi, Maiara Anschau Floriani, Veridiana Baldon Dos Santos, Carolina Marques Ramos, Joice Coutinho De Alvarenga, Ana Luiza Bahia Alves Scotton, Euler Roberto Fernandes Manenti, Gabriela Petry Crestani, Joanna D'Arc Lyra Batista, Daniela Ponce, Juliana Machado-Rugolo, Adriana Falangola Benjamin Bezerra, Petrônio José De Lima Martelli, Heloisa Reniers Vianna, Luís César De Castro, Cássia Regina Gotler Medeiros, Giovanna Grunewald Vietta, Elayne Crestani Pereira, José Miguel Chatkin, Mariana Frizzo De Godoy, Polianna Delfino-Pereira, Antonio Lucio Teixeira

Faculty, Staff and Student Publications

BACKGROUND: Scientific data regarding the prevalence of COVID-19 neurological manifestations and prognosis in Latin America countries is still lacking. Therefore, the study aims to understand neurological manifestations of SARS-CoV 2 infection and outcomes in the Brazilian population.

METHODS: This study is part of the Brazilian COVID-19 Registry, a multicentric cohort, including data from 37 hospitals. For the present analysis, patients were grouped according to the presence of reported symptoms (i.e., headache; anosmia and ageusia; syncope and dizziness) vs. clinically-diagnosed neurological manifestations (clinically-defined neurological syndrome: neurological signs or diagnoses captured by clinical evaluation) and matched with patients without neurological manifestations by …

Detection Of Stroke With Retinal Microvascular Density And Self-Supervised Learning Using Oct-A And Fundus Imaging, Samiksha Pachade, Ivan Coronado, Rania Abdelkhaleq, Juntao Yan, Sergio Salazar-Marioni, Amanda Jagolino, Charles Green, Mozhdeh Bahrainian, Roomasa Channa, Sunil A Sheth, Luca Giancardo

Faculty, Staff and Student Publications

Acute cerebral stroke is a leading cause of disability and death, which could be reduced with a prompt diagnosis during patient transportation to the hospital. A portable retina imaging system could enable this by measuring vascular information and blood perfusion in the retina and, due to the homology between retinal and cerebral vessels, infer if a cerebral stroke is underway. However, the feasibility of this strategy, the imaging features, and retina imaging modalities to do this are not clear. In this work, we show initial evidence of the feasibility of this approach by training machine learning models using feature engineering …

Reorganization Of The Functional Connectome From Rest To A Visual Perception Task In Schizophrenia And Bipolar Disorder, Philipp Riedel, Junghee Lee, Christopher G Watson, Amy M Jimenez, Eric A Reavis, Michael F Green

Faculty, Staff and Student Publications

Functional connectome organization is altered in schizophrenia (SZ) and bipolar disorder (BD). However, it remains unclear whether network reorganization during a task relative to rest is also altered in these disorders. This study examined connectome organization in patients with SZ (N = 43) and BD (N = 42) versus healthy controls (HC; N = 39) using fMRI data during a visual object-perception task and at rest. Graph analyses were conducted for the whole-brain network using indices selected a priori: three reflecting network segregation (clustering coefficient, local efficiency, modularity), two reflecting integration (characteristic path length, global efficiency). Group differences were limited …

Hdac2 In Primary Sensory Neurons Constitutively Restrains Chronic Pain By Repressing Α2Δ-1 Expression And Associated Nmda Receptor Activity, Jixiang Zhang, Shao-Rui Chen, Meng-Hua Zhou, Daozhong Jin, Hong Chen, Li Wang, Ronald A Depinho, Hui-Lin Pan

Faculty, Staff and Student Publications

α2δ-1 (encoded by the Cacna2d1 gene) is a newly discovered NMDA receptor-interacting protein and is the therapeutic target of gabapentinoids (e.g., gabapentin and pregabalin) frequently used for treating patients with neuropathic pain. Nerve injury causes sustained α2δ-1 upregulation in the dorsal root ganglion (DRG), which promotes NMDA receptor synaptic trafficking and activation in the spinal dorsal horn, a hallmark of chronic neuropathic pain. However, little is known about how nerve injury initiates and maintains the high expression level of α2δ-1 to sustain chronic pain. Here, we show that nerve injury caused histone hyperacetylation and diminished enrichment of histone deacetylase-2 (HDAC2), …

Notch Missense Mutations In Drosophila Reveal Functions Of Specific Egf-Like Repeats In Notch Folding, Trafficking, And Signaling, Hilman Nurmahdi, Mao Hasegawa, Elzava Yuslimatin Mujizah, Takeshi Sasamura, Mikiko Inaki, Shinya Yamamoto, Tomoko Yamakawa, Kenji Matsuno

Duncan NRI Faculty and Staff Publications

Notch signaling plays various roles in cell-fate specification through direct cell–cell interactions. Notch receptors are evolutionarily conserved transmembrane proteins with multiple epidermal growth factor (EGF)-like repeats. Drosophila Notch has 36 EGF-like repeats, and while some play a role in Notch signaling, the specific functions of most remain unclear. To investigate the role of each EGF-like repeat, we used 19 previously identified missense mutations of Notch with unique amino acid substitutions in various EGF-like repeats and a transmembrane domain; 17 of these were identified through a single genetic screen. We assessed these mutants’ phenotypes in the nervous system and hindgut during …

Hdac6 Inhibition Reverses Cisplatin-Induced Mechanical Hypersensitivity Via Tonic Delta Opioid Receptor Signaling, Jixiang Zhang, Jazzmine M Junigan, Ronnie Trinh, Annemieke Kavelaars, Cobi J Heijnen, Peter M Grace

Faculty, Staff and Student Publications

Peripheral neuropathic pain induced by the chemotherapeutic cisplatin can persist for months to years after treatment. Histone deacetylase 6 (HDAC6) inhibitors have therapeutic potential for cisplatin-induced neuropathic pain since they persistently reverse mechanical hypersensitivity and spontaneous pain in rodent models. Here, we investigated the mechanisms underlying reversal of mechanical hypersensitivity in male and female mice by a 2 week treatment with an HDAC6 inhibitor, administered 3 d after the last dose of cisplatin. Mechanical hypersensitivity in animals of both sexes treated with the HDAC6 inhibitor was temporarily reinstated by a single injection of the neutral opioid receptor antagonist 6β-naltrexol or …

Loss Of Lamp5 Interneurons Drives Neuronal Network Dysfunction In Alzheimer’S Disease, Yuanyuan Deng, Mian Bi, Fabien Delerue, Shelley L Forrest, Gabriella Chan, Julia Van Der Hoven, Annika Van Hummel, Astrid F Feiten, Seojin Lee, Ivan Martinez-Valbuena, Tim Karl, Gabor G Kovacs, Grant Morahan, Yazi D Ke, Lars M Ittner

Faculty, Staff and Student Publications

In Alzheimer's disease (AD), where amyloid-β (Aβ) and tau deposits in the brain, hyperexcitation of neuronal networks is an underlying disease mechanism, but its cause remains unclear. Here, we used the Collaborative Cross (CC) forward genetics mouse platform to identify modifier genes of neuronal hyperexcitation. We found LAMP5 as a novel regulator of hyperexcitation in mice, critical for the survival of distinct interneuron populations. Interestingly, synaptic LAMP5 was lost in AD brains and LAMP5 interneurons degenerated in different AD mouse models. Genetic reduction of LAMP5 augmented functional deficits and neuronal network hypersynchronicity in both Aβ- and tau-driven AD mouse models. …

Preconditioning By Voluntary Wheel Running Attenuates Later Neuropathic Pain Via Nuclear Factor E2-Related Factor 2 Antioxidant Signaling In Rats, Suzanne M Green-Fulgham, Michael E Harland, Jayson B Ball, Jiahe Li, Michael J Lacagnina, Heather D'Angelo, Renee A Dreher, Kendal F Willcox, Sabina A Lorca, Andrew J Kwilasz, Steven F Maier, Linda R Watkins, Peter M Grace

Faculty, Staff and Student Publications

Animal and human studies have shown that exercise prior to nerve injury prevents later chronic pain, but the mechanisms of such preconditioning remain elusive. Given that exercise acutely increases the formation of free radicals, triggering antioxidant compensation, we hypothesized that voluntary running preconditioning would attenuate neuropathic pain by supporting redox homeostasis after sciatic nerve injury in male and female rats. We show that 6 weeks of voluntary wheel running suppresses neuropathic pain development induced by chronic constriction injury across both sexes. This attenuation was associated with reduced nitrotyrosine immunoreactivity-a marker for peroxynitrite-at the sciatic nerve injury site. Our data suggest …

Transcranial Magnetic Stimulation (Tms) Seeded Tractography Provides Superior Prediction Of Eloquence Compared To Anatomic Seeded Tractography, Matthew Muir, Sarah Prinsloo, Hayley Michener, Arya Shetty, Dhiego Chaves De Almeida Bastos, Jeffrey Traylor, Chibawanye Ene, Sudhakar Tummala, Vinodh A Kumar, Sujit S Prabhu

Faculty, Staff and Student Publications

BACKGROUND: For patients with brain tumors, maximizing the extent of resection while minimizing postoperative neurological morbidity requires accurate preoperative identification of eloquent structures. Recent studies have provided evidence that anatomy may not always predict eloquence. In this study, we directly compare transcranial magnetic stimulation (TMS) data combined with tractography to traditional anatomic grading criteria for predicting permanent deficits in patients with motor eloquent gliomas.

METHODS: We selected a cohort of 42 glioma patients with perirolandic tumors who underwent preoperative TMS mapping with subsequent resection and intraoperative mapping. We collected clinical outcome data from their chart with the primary outcome being …

Cancer-Driving Mutations Are Enriched In Genic Regions Intolerant To Germline Variation, Dimitrios Vitsios, Ryan S Dhindsa, Dorota Matelska, Jonathan Mitchell, Xuequing Zou, Joshua Armenia, Fengyuan Hu, Quanli Wang, Ben Sidders, Andrew R Harper, Slavé Petrovski

Duncan NRI Faculty and Staff Publications

Large reference datasets of protein-coding variation in human populations have allowed us to determine which genes and genic subregions are intolerant to germline genetic variation. There is also a growing number of genes implicated in severe Mendelian diseases that overlap with genes implicated in cancer. We hypothesized that cancer-driving mutations might be enriched in genic subregions that are depleted of germline variation relative to somatic variation. We introduce a new metric, OncMTR (oncology missense tolerance ratio), which uses 125,748 exomes in the Genome Aggregation Database (gnomAD) to identify these genic subregions. We demonstrate that OncMTR can significantly predict driver mutations …

Secure Human Action Recognition By Encrypted Neural Network Inference, Miran Kim, Xiaoqian Jiang, Kristin Lauter, Elkhan Ismayilzada, Shayan Shams

Faculty, Staff and Student Publications

Advanced computer vision technology can provide near real-time home monitoring to support "aging in place" by detecting falls and symptoms related to seizures and stroke. Affordable webcams, together with cloud computing services (to run machine learning algorithms), can potentially bring significant social benefits. However, it has not been deployed in practice because of privacy concerns. In this paper, we propose a strategy that uses homomorphic encryption to resolve this dilemma, which guarantees information confidentiality while retaining action detection. Our protocol for secure inference can distinguish falls from activities of daily living with 86.21% sensitivity and 99.14% specificity, with an average …

Insulin Resistance In Depression: A Large Meta-Analysis Of Metabolic Parameters And Variation, Brisa S Fernandes, Estela Salagre, Nitesh Enduru, Iria Grande, Eduard Vieta, Zhongming Zhao

Faculty, Staff and Student Publications

Increased insulin resistance is recognized in psychiatric disorders, such as schizophrenia and bipolar disorder, but its occurrence in depression is less clear. Our aims were to verify if insulin resistance is altered in depression, to test the metabolic subgroup hypothesis of depression and if there are changes with antidepressants. Inclusion criteria were studies including adult subjects with depression and either a control group or follow-up after treatment with antidepressants, and assessing fasting insulin or glucose levels or the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) index. Seventy studies with 240,704 participants were included. Both insulin levels and the HOMA-IR index …

Effect Of Neoadjuvant Chemotherapy On Intraoperative Core Temperature In Patients With Breast Cancer: A Retrospective Cohort Study, Daniel B Zamler, Takashi Shingu, Laura M Kahn, Kristin Huntoon, Cynthia Kassab, Martina Ott, Katarzyna Tomczak, Jintan Liu, Yating Li, Ivy Lai, Rocio Zorilla-Veloz, Cassian Yee, Kunal Rai, Betty Ys Kim, Stephanie S Watowich, Amy B Heimberger, Giulio F Draetta, Jian Hu

Faculty, Staff and Student Publications

Novel therapeutic strategies targeting glioblastoma (GBM) often fail in the clinic, partly because preclinical models in which hypotheses are being tested do not recapitulate human disease. To address this challenge, we took advantage of our previously developed spontaneous Qk/Trp53/Pten (QPP) triple-knockout model of human GBM, comparing the immune microenvironment of QPP mice with that of patient-derived tumors to determine whether this model provides opportunity for gaining insights into tumor physiopathology and preclinical evaluation of therapeutic agents. Immune profiling analyses and single-cell sequencing of implanted and spontaneous tumors from QPP mice and from patients with glioma revealed intratumoral immune components that …

A Weakened Recurrent Circuit In The Hippocampus Of Rett Syndrome Mice Disrupts Long-Term Memory Representations, Lingjie He, Matthew S Caudill, Junzhan Jing, Wei Wang, Yaling Sun, Jianrong Tang, Xiaolong Jiang, Huda Y Zoghbi

Duncan NRI Faculty and Staff Publications

Successful recall of a contextual memory requires reactivating ensembles of hippocampal cells that were allocated during memory formation. Altering the ratio of excitation-to-inhibition (E/I) during memory retrieval can bias cell participation in an ensemble and hinder memory recall. In the case of Rett syndrome (RTT), a neurological disorder with severe learning and memory deficits, the E/I balance is altered, but the source of this imbalance is unknown. Using in vivo imaging during an associative memory task, we show that during long-term memory retrieval, RTT CA1 cells poorly distinguish mnemonic context and form larger ensembles than wild-type mouse cells. Simultaneous multiple …

Counterfactual Analysis Of Differential Comorbidity Risk Factors In Alzheimer’S Disease And Related Dementias, Yejin Kim, Kai Zhang, Sean I Savitz, Luyao Chen, Paul E Schulz, Xiaoqian Jiang

Faculty, Staff and Student Publications

Alzheimer’s disease and related dementias (ADRD) is a multifactorial disease that involves several different etiologic mechanisms with various comorbidities. There is also significant heterogeneity in the prevalence of ADRD across diverse demographics groups. Association studies on such heterogeneous comorbidity risk factors are limited in their ability to determine causation. We aim to compare counterfactual treatment effects of various comorbidity in ADRD in different racial groups (African Americans and Caucasians). We used 138,026 ADRD and 1:1 matched older adults without ADRD from nationwide electronic health records, which extensively cover a large population’s long medical history in breadth. We matched African Americans …

The Current Status And Shortcomings Of Stereotactic Radiosurgery, Hunter Mehrens, Trang Nguyen, Sharbacha Edward, Shannon Hartzell, Mallory Glenn, Daniela Branco, Nadia Hernandez, Paola Alvarez, Andrea Molineu, Paige Taylor, Stephen Kry

Faculty, Staff and Student Publications

Background: Stereotactic radiosurgery (SRS) is a common treatment for intracranial lesions. This work explores the state of SRS treatment delivery to characterize current treatment accuracy based on treatment parameters.

Methods: NCI clinical trials involving SRS rely on an end-to-end treatment delivery on a patient surrogate (credentialing phantom) from the Imaging and Radiation Oncology Core (IROC) to test their treatment accuracy. The results of 1072 SRS phantom irradiations between 2012 and 2020 were retrospectively analyzed. Univariate analysis and random forest models were used to associate irradiation conditions with phantom performance. The following categories were evaluated in terms of how they predicted …

Pathogenic Tau Accelerates Aging-Associated Activation Of Transposable Elements In The Mouse Central Nervous System, Paulino Ramirez, Gabrielle Zuniga, Wenyan Sun, Adrian Beckmann, Elizabeth Ochoa, Sarah L Devos, Bradley Hyman, Gabriel Chiu, Ethan R Roy, Wei Cao, Miranda Orr, Virginie Buggia-Prevot, William J Ray, Bess Frost

Faculty, Staff and Student Publications

Transposable elements comprise almost half of the mammalian genome. A growing body of evidence suggests that transposable element dysregulation accompanies brain aging and neurodegenerative disorders, and that transposable element activation is neurotoxic. Recent studies have identified links between pathogenic forms of tau, a protein that accumulates in Alzheimer's disease and related "tauopathies," and transposable element-induced neurotoxicity. Starting with transcriptomic analyses, we find that age- and tau-induced transposable element activation occurs in the mouse brain. Among transposable elements that are activated at the RNA level in the context of brain aging and tauopathy, we find that the endogenous retrovirus (ERV) class …

A Comparison Of Machine Learning Classifiers For Pediatric Epilepsy Using Resting-State Functional Mri Latency Data, Ryan D Nguyen, Matthew D Smyth, Liang Zhu, Ludovic P Pao, Shannon K Swisher, Emmett H Kennady, Anish Mitra, Rajan P Patel, Jeremy E Lankford, Gretchen Von Allmen, Michael W Watkins, Michael E Funke, Manish N Shah

Faculty, Staff and Student Publications

Epilepsy affects 1 in 150 children under the age of 10 and is the most common chronic pediatric neurological condition; poor seizure control can irreversibly disrupt normal brain development. The present study compared the ability of different machine learning algorithms trained with resting-state functional MRI (rfMRI) latency data to detect epilepsy. Preoperative rfMRI and anatomical MRI scans were obtained for 63 patients with epilepsy and 259 healthy controls. The normal distribution of latency z-scores from the epilepsy and healthy control cohorts were analyzed for overlap in 36 seed regions. In these seed regions, overlap between the study cohorts ranged from …

Deep Learning-Based Mixed-Dimensional Gaussian Mixture Model For Characterizing Variability In Cryo-Em, Muyuan Chen, Steven J Ludtke

Faculty, Staff and Students Publications

Structural flexibility and/or dynamic interactions with other molecules is a critical aspect of protein function. Cryogenic electron microscopy (cryo-EM) provides direct visualization of individual macromolecules sampling different conformational and compositional states. While numerous methods are available for computational classification of discrete states, characterization of continuous conformational changes or large numbers of discrete state without human supervision remains challenging. Here we present e2gmm, a machine learning algorithm to determine a conformational landscape for proteins or complexes using a three-dimensional Gaussian mixture model mapped onto two-dimensional particle images in known orientations. Using a deep neural network architecture, e2gmm can automatically resolve the …