Neurology Commons^™

Botulinum Neurotoxin Injections In Children With Self-Injurious Behaviors, Mariam Hull, Mered Parnes, Joseph Jankovic

Faculty, Staff and Students Publications

Self-injurious behaviors are repetitive, persistent actions directed toward one's body that threaten or cause physical harm. These behaviors are seen within a broad spectrum of neurodevelopmental and neuropsychiatric conditions, often associated with intellectual disability. Injuries can be severe and distressing to patients and caregivers. Furthermore, injuries can be life-threatening. Often, these behaviors are challenging to treat and require a tiered, multimodal approach which may include mechanical/physical restraints, behavioral therapy, pharmacotherapy, or in some cases, surgical management, such as tooth extraction or deep brain stimulation. Here, we describe a series of 17 children who presented to our institution with self-injurious behaviors …

Glia-Neuron Coupling Via A Bipartite Sialylation Pathway Promotes Neural Transmission And Stress Tolerance Iglia-Neuron Coupling Via A Bipartite Sialylation Pathway Promotes Neural Transmission And Stress Tolerance In Drosophila, Hilary Scott, Boris Novikov, Berrak Ugur, Brooke Allen, Ilya Mertsalov, Pedro Monagas-Valentin, Melissa Koff, Sarah Baas Robinson, Kazuhiro Aoki, Raisa Veizaj, Dirk J Lefeber, Michael Tiemeyer, Hugo Bellen, Vladislav Panin

Duncan NRI Faculty and Staff Publications

Modification by sialylated glycans can affect protein functions, underlying mechanisms that control animal development and physiology. Sialylation relies on a dedicated pathway involving evolutionarily conserved enzymes, including CMP-sialic acid synthetase (CSAS) and sialyltransferase (SiaT) that mediate the activation of sialic acid and its transfer onto glycan termini, respectively. In Drosophila, CSAS and DSiaT genes function in the nervous system, affecting neural transmission and excitability. We found that these genes function in different cells: the function of CSAS is restricted to glia, while DSiaT functions in neurons. This partition of the sialylation pathway allows for regulation of neural functions via …

Differentiating Axonal From Demyelinating Neuropathies Using Multiparametric Quantitative Mri Of Peripheral Nerves, Jacob D. Baraz, Stephanie Xuan, Sadaf Saba, Xue Yang, Ryan Castoro, Yang Xuan, Alison Roth, Richard D. Dortch, Jun Li, Yongsheng Chen

Medical Student Research Symposium

Objectives: To develop a multiparametric quantitative MRI (qMRI) method to track pathological changes in the peripheral neuropathies.

Background: Irrespective of the causes or types of polyneuropathies, peripheral nerves are mainly afflicted by two kinds of pathologies – axonal loss and demyelination. It is critical to differentiate between the two as treatments are different for the two conditions. While nerve conduction studies (NCS) have been used to differentiate the two pathologies in the distal nerves, there are no tools to probe the pathologies in the proximal peripheral nerves. This is particularly needed when distal nerves become non-responsive in NCS.

Methods: We …

Group-Based Four-Dimensional Brain Mapping Of Executive Control, Matthew T. Brennan, Kazuki Sakakura Md, Masaki Sonoda Md, Phd, Aimee Luat Md, Neena Marupudi, Sandeep Sood Md, Eishi Asano Md, Phd

Medical Student Research Symposium

Rationale: Humans utilize executive control processes to carry out non-automatic tasks. These tasks require coordination from higher brain centers to both suppress inappropriate behaviors and initiate correct responses. The goal of this study is to generate a novel, dynamic brain atlas to visualize and understand the network dynamics underlying executive control.

Methods: We studied 547 non-epileptic intracranial electrode sites sampled from seven patients with focal epilepsy. Each patient performed two types of verbal tasks: word-reading and Stroop color-naming. Mixed model analysis compared high-gamma cortical activation prior to response onset between the word-reading and Stroop color-naming tasks. Based on mixed model …

Acupuncture Treatment For Post-Stroke Depression: Intestinal Microbiota And Its Role, Hailun Jiang, Shizhe Deng, Jieying Zhang, Junjie Chen, Boxuan Li, Weiming Zhu, Menglong Zhang, Chao Zhang, Zhihong Meng

Faculty, Staff and Student Publications

Stroke-induced depression is a common complication and an important risk factor for disability. Besides psychiatric symptoms, depressed patients may also exhibit a variety of gastrointestinal symptoms, and even take gastrointestinal symptoms as the primary reason for medical treatment. It is well documented that stress may disrupt the balance of the gut microbiome in patients suffering from post-stroke depression (PSD), and that disruption of the gut microbiome is closely related to the severity of the condition in depressed patients. Therefore, maintaining the balance of intestinal microbiota can be the focus of research on the mechanism of acupuncture in the treatment of …

B Cells And T Cells Abnormalities In Patients With Selective Iga Deficiency, Yasser Bagheri, Tannaz Moeini Shad, Shideh Namazi, Farzaneh Tofighi Zavareh, Gholamreza Azizi, Fereshteh Salami, Somayeh Sadani, Ali Hosseini, Mohsen Saeidi, Salar Pashangzadeh, Samaneh Delavari, Babak Mirminachi, Nima Rezaei, Hassan Abolhassani, Asghar Aghamohammadi, Reza Yazdani

Department of Neurology Faculty Papers

BACKGROUND: Selective IgA deficiency (SIgAD) is the most prevalent inborn errors of immunity with almost unknown etiology. This study aimed to investigate the clinical diagnostic and prognostic values of lymphocyte subsets and function in symptomatic SIgAD patients.

METHODS: A total of 30 available SIgAD patients from the Iranian registry and 30 age-sex-matched healthy controls were included in the present study. We analyzed B and T cell peripheral subsets and T cell proliferation assay by flow cytometry in SIgAD patients with mild and severe clinical phenotypes.

RESULTS: Our results indicated a significant increase in naïve and transitional B cells and a …

Ad-Syn-Net: Systematic Identification Of Alzheimer's Disease-Associated Mutation And Co-Mutation Vulnerabilities Via Deep Learning, Xingxin Pan, Zeynep H Coban Akdemir, Ruixuan Gao, Xiaoqian Jiang, Gloria M Sheynkman, Erxi Wu, Jason H Huang, Nidhi Sahni, S Stephen Yi

Faculty, Staff and Student Publications

Alzheimer's disease (AD) is one of the most challenging neurodegenerative diseases because of its complicated and progressive mechanisms, and multiple risk factors. Increasing research evidence demonstrates that genetics may be a key factor responsible for the occurrence of the disease. Although previous reports identified quite a few AD-associated genes, they were mostly limited owing to patient sample size and selection bias. There is a lack of comprehensive research aimed to identify AD-associated risk mutations systematically. to address this challenge, we hereby construct a large-scale AD mutation and co-mutation framework ('AD-Syn-Net'), and propose deep learning models named Deep-SMCI and Deep-CMCI configured …

Evolutionarily Conserved Regulators Of Tau Identify Targets For New Therapies, Jiyoen Kim, Maria De Haro, Ismael Al-Ramahi, Lorena Laura Garaicoechea, Hyun-Hwan Jeong, Jun Young Sonn, Bakhos Tadros, Zhandong Liu, Juan Botas, Huda Yahya Zoghbi

Duncan NRI Faculty and Staff Publications

Tauopathies are neurodegenerative diseases that involve the pathological accumulation of tau proteins; in this family are Alzheimer disease, corticobasal degeneration, and chronic traumatic encephalopathy, among others. Hypothesizing that reducing this accumulation could mitigate pathogenesis, we performed a cross-species genetic screen targeting 6,600 potentially druggable genes in human cells and Drosophila. We found and validated 83 hits in cells and further validated 11 hits in the mouse brain. Three of these hits (USP7, RNF130, and RNF149) converge on the C terminus of Hsc70-interacting protein (CHIP) to regulate tau levels, highlighting the role of CHIP in maintaining tau proteostasis in the brain. …

Use Of Dual Genomic Sequencing To Screen Mitochondrial Diseases In Pediatrics: A Retrospective Analysis, Teng-Hui Wu, Jing Peng, Li Yang, Yan-Hui Chen, Xiu-Lan Lu, Jiao-Tian Huang, Jie-Yu You, Wen-Xian Ou-Yang, Yue-Yu Sun, Yi-Nan Xue, Xiao Mao, Hui-Ming Yan, Rong-Na Ren, Jing Xie, Zhi-Heng Chen, Victor-Wei Zhang, Gui-Zhen Lyu, Fang He

Children’s Nutrition Research Center Staff Publications

Mitochondrial diseases (MDs) were a large group multisystem disorders, attributable in part to the dual genomic control. The advent of massively sequencing has improved diagnostic rates and speed, and was increasingly being used as a first-line diagnostic test. Paediatric patients (aged <  18 years) who underwent dual genomic sequencing were enrolled in this retrospective multicentre study. We evaluated the mitochondrial disease criteria (MDC) and molecular diagnostic yield of dual genomic sequencing. Causative variants were identified in 177 out of 503 (35.2%) patients using dual genomic sequencing. Forty-six patients (9.1%) had mitochondria-related variants, including 25 patients with nuclear DNA (nDNA) variants, 15 with mitochondrial DNA (mtDNA) variants, and six with dual genomic variants (MT-ND6 and POLG; MT-ND5 and RARS2; MT-TL1 and NARS2; MT-CO2 and NDUFS1; MT-CYB and SMARCA2; and CHRNA4 and MT-CO3). Based on the MDC, 15.2% of the patients with mitochondria-related variants were classified as "unlikely to have mitochondrial disorder". Moreover, 4.5% of the patients with non-mitochondria-related variants and 1.43% with negative genetic tests, were classified as "probably having mitochondrial disorder". Dual genomic sequencing in suspected MDs provided a more comprehensive and accurate diagnosis for pediatric patients, especially for patients with dual genomic variants.

Hypermitotic Meningiomas Harbor Dna Methylation Subgroups With Distinct Biological And Clinical Features, Abrar Choudhury, William C Chen, Calixto-Hope G Lucas, James C Bayley, Akdes S Harmanci, Sybren L N Maas, Sandro Santagata, Tiemo Klisch, Arie Perry, Wenya Linda Bi, Felix Sahm, Akash J Patel, Stephen T Magill, David R Raleigh

Faculty, Staff and Students Publications

BACKGROUND: Meningiomas, the most common primary intracranial tumors, can be separated into 3 DNA methylation groups with distinct biological drivers, clinical outcomes, and therapeutic vulnerabilities. Alternative meningioma grouping schemes using copy number variants, gene expression profiles, somatic short variants, or integrated molecular models have been proposed. These data suggest meningioma DNA methylation groups may harbor subgroups unifying contrasting theories of meningioma biology.

METHODS: A total of 565 meningioma DNA methylation profiles from patients with comprehensive clinical follow-up at independent discovery (n = 200) or validation (n = 365) institutions were reanalyzed and classified into Merlin-intact, Immune-enriched, or Hypermitotic DNA methylation …

In Vivo Functional Characterization Of Egfr Variants Identifies Novel Drivers Of Glioblastoma, Kwanha Yu, Kathleen Kong, Brittney Lozzi, Estefania Luna-Figueroa, Alexis Cervantes, Rachel Curry, Carrie A Mohila, Ganesh Rao, Ali Jalali, Gordon B Mills, Kenneth L Scott, Benjamin Deneen

Faculty, Staff and Students Publications

BACKGROUND: Glioblastoma is the most common and aggressive primary brain tumor. Large-scale sequencing initiatives have cataloged its mutational landscape in hopes of elucidating mechanisms driving this deadly disease. However, a major bottleneck in harnessing this data for new therapies is deciphering "driver" and "passenger" events amongst the vast volume of information.

METHODS: We utilized an autochthonous, in vivo screening approach to identify driver, EGFR variants. RNA-Seq identified unique molecular signatures of mouse gliomas across these variants, which only differ by a single amino acid change. In particular, we identified alterations to lipid metabolism, which we further validated through an unbiased …

Varied Performance Of Picture Description Task As A Screening Tool Across Mci Subtypes, Joan A. Mefford, Zilong Zhao, Leah Heilier, Man Xu, Guifeng Zhou, Rachel Mace, Kelly L. Sloane, Shannon M. Sheppard, Shenly Glenn

Communication Sciences and Disorders Faculty Articles and Research

A picture description task is a component of Miro Health’s platform for self-administration of neurobehavioral assessments. Picture description has been used as a screening tool for identification of individuals with Alzheimer’s disease and mild cognitive impairment (MCI), but currently requires in-person administration and scoring by someone with access to and familiarity with a scoring rubric. The Miro Health implementation allows broader use of this assessment through self-administration and automated processing, analysis, and scoring to deliver clinically useful quantifications of the users’ speech production, vocal characteristics, and language. Picture description responses were collected from 62 healthy controls (HC), and 33 participants …

Brain Injury Accelerates The Onset Of A Reversible Age-Related Microglial Phenotype Associated With Inflammatory Neurodegeneration, Rodney M Ritzel, Yun Li, Yun Jiao, Zhuofan Lei, Sarah J Doran, Junyun He, Rami A Shahror, Rebecca J Henry, Romeesa Khan, Chunfeng Tan, Shaolin Liu, Bogdan A Stoica, Alan I Faden, Gregory Szeto, David J Loane, Junfang Wu

Faculty, Staff and Student Publications

Lipofuscin is an autofluorescent (AF) pigment formed by lipids and misfolded proteins, which accumulates in postmitotic cells with advanced age. Here, we immunophenotyped microglia in the brain of old C57BL/6 mice (>18 months old) and demonstrate that in comparison to young mice, one-third of old microglia are AF, characterized by profound changes in lipid and iron content, phagocytic activity, and oxidative stress. Pharmacological depletion of microglia in old mice eliminated the AF microglia following repopulation and reversed microglial dysfunction. Age-related neurological deficits and neurodegeneration after traumatic brain injury (TBI) were attenuated in old mice lacking AF microglia. Furthermore, increased …

Effective Connectivity Of Functional Mri Via Deep Learning Methods, Kai-Cheng Chuang

LSU Doctoral Dissertations

Effective connectivity, based on functional magnetic resonance imaging (fMRI) time series signals, is the quantification of how strongly brain activity in a certain source brain region contributes to brain activity in a target brain region, independent of the contributions of other source regions. Current methods to solve this problem have several limitations. They are either unable to model nonlinear relationships between source and target signals, unable to efficiently quantify time lags in source-target relationships, unable to identify time-varying relationships, or fail to account for variability in the hemodynamic response function that converts neuron activity to a measurable signal. In this …

Young Astrocytic Mitochondria Attenuate The Elevated Level Of Ccl11 In The Aged Mice, Contributing To Cognitive Function Improvement, Ryosuke Tashiro, Dan Ozaki, Jesus Bautista-Garrido, Guanghua Sun, Lidiya Obertas, Alexis S Mobley, Gab Seok Kim, Jaroslaw Aronowski, Joo Eun Jung

Faculty, Staff and Student Publications

Aging drives cognitive decline, and mitochondrial dysfunction is a hallmark of age-induced neurodegeneration. Recently, we demonstrated that astrocytes secrete functional mitochondria (Mt), which help adjacent cells to resist damage and promote repair after neurological injuries. However, the relationship between age-dependent changes in astrocytic Mt function and cognitive decline remains poorly understood. Here, we established that aged astrocytes secret less functional Mt compared to young astrocytes. We found the aging factor C-C motif chemokine 11 (CCL11) is elevated in the hippocampus of aged mice, and that its level is reduced upon systemic administration of young Mt, in vivo. Aged mice receiving …

Poor Seizure Control Among Children Attending A Tertiary Hospital In South Western Uganda – A Retrospective Study, Martha Sajatovic

Faculty Scholarship

Background: Seizure control among children with epilepsy (CWE) receiving anti-seizure medications (ASMs) remains a challenge in low-resource settings. Uncontrolled seizures are significantly associated with increased morbidity and mortality among CWE. This negatively impacts their quality of life and increases stigma. Aim: This study determined seizure control status and described the factors associated among CWE receiving ASMs at Mbarara Regional Referral Hospital (MRRH). Methods: In a retrospective chart review study, socio-demographic and clinical data were obtained from 112 medical records. CWE receiving ASMs for at least six months and regularly attending the clinic were included in the study. Physical or telephone …

A Comprehensive And Integrative Approach To Mecp2 Disease Transcriptomics, Alexander J Trostle, Lucian Li, Seon-Young Kim, Jiasheng Wang, Rami Al-Ouran, Hari Krishna Yalamanchili, Zhandong Liu, Ying-Wooi Wan

Faculty, Staff and Students Publications

Mutations in MeCP2 result in a crippling neurological disease, but we lack a lucid picture of MeCP2's molecular role. Individual transcriptomic studies yield inconsistent differentially expressed genes. To overcome these issues, we demonstrate a methodology to analyze all modern public data. We obtained relevant raw public transcriptomic data from GEO and ENA, then homogeneously processed it (QC, alignment to reference, differential expression analysis). We present a web portal to interactively access the mouse data, and we discovered a commonly perturbed core set of genes that transcends the limitations of any individual study. We then found functionally distinct, consistently up- and …

Mechanosensitive Membrane Proteins: Usual And Unusual Suspects In Mediating Mechanotransduction, Miriam B Goodman, Elizabeth S Haswell, Valeria Vásquez

Faculty, Staff and Student Publications

This Viewpoint, which accompanies a Special Issue focusing on membrane mechanosensors, discusses unifying and unique features of both established and emerging mechanosensitive (MS) membrane proteins, their distribution across protein families and phyla, and current and future challenges in the study of these important proteins and their partners. MS membrane proteins are essential for tissue development, cellular motion, osmotic homeostasis, and sensing external and self-generated mechanical cues like those responsible for touch and proprioception. Though researchers' attention and this Viewpoint focus on a few famous ion channels that are considered the usual suspects as MS mechanosensors, we also discuss some of …

Reasons For Ineligibility For Clinical Trials Of Patients With Medication-Resistant Epilepsy, Wesley T. Kerr, Hai Chen, Mariana Figuera Losada, Christopher Cheng, Tiffany Liu, Jaqueline French

School of Medicine Faculty Publications

Selection criteria for clinical trials for medication-resistant epilepsy are used to limit variability and to ensure safety. However, it has become more challenging to recruit subjects for trials. This study investigated the impact of each inclusion and exclusion criterion on medication-resistant epilepsy clinical trial recruitment at a large academic epilepsy center. We retrospectively identified all patients with medication-resistant focal or generalized onset epilepsy who attended an outpatient clinic over a consecutive 3-month period. We assessed each patient's eligibility for trials with commonly required inclusion and exclusion criteria to evaluate the proportion of eligible patients and the most common reasons for …

The Ipdgc/Gp2 Hackathon - An Open Science Event For Training In Data Science, Genomics, And Collaboration Using Parkinson's Disease Data, Hampton L Leonard, Ruqaya Murtadha, Alejandro Martinez-Carrasco, Alina Jama, Amica Corda Müller-Nedebock, Ana-Luisa Gil-Martinez, Anastasia Illarionova, Anni Moore, Bernabe I Bustos, Bharati Jadhav, Brook Huxford, Catherine Storm, Clodagh Towns, Dan Vitale, Devina Chetty, Eric Yu, Francis P Grenn, Gabriela Salazar, Geoffrey Rateau, Hirotaka Iwaki, Inas Elsayed, Isabelle Francesca Foote, Zuné Jansen Van Rensburg, Jonggeol Jeff Kim, Jie Yuan, Julie Lake, Kajsa Brolin, Konstantin Senkevich, Lesley Wu, Manuela M X Tan, María Teresa Periñán, Mary B Makarious, Michael Ta, Nikita Simone Pillay, Oswaldo Lorenzo Betancor, Paula R Reyes-Pérez, Pilar Alvarez Jerez, Prabhjyot Saini, Rami Al-Ouran, Ramiya Sivakumar, Raquel Real, Regina H Reynolds, Ruifneg Hu, Shameemah Abrahams, Shilpa C Rao, Tarek Antar, Thiago Peixoto Leal, Vassilena Iankova, William J Scotton, Yeajin Song, Andrew Singleton, Mike A Nalls, Sumit Dey, Sara Bandres-Ciga, Cornelis Blauwendraat, Alastair J Noyce, The International Parkinson Disease Genomics Consortium (Ipdgc) And The Global Parkinson’S Genetics Program (Gp2)

Faculty, Staff and Students Publications

Open science and collaboration are necessary to facilitate the advancement of Parkinson's disease (PD) research. Hackathons are collaborative events that bring together people with different skill sets and backgrounds to generate resources and creative solutions to problems. These events can be used as training and networking opportunities, thus we coordinated a virtual 3-day hackathon event, during which 49 early-career scientists from 12 countries built tools and pipelines with a focus on PD. Resources were created with the goal of helping scientists accelerate their own research by having access to the necessary code and tools. Each team was allocated one of …