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Dive into the research topics where Jessica L. Nielson is active.

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Featured researches published by Jessica L. Nielson.


Neurotherapeutics | 2012

Animal Models of Neurologic Disorders: A Nonhuman Primate Model of Spinal Cord Injury

Yvette S. Nout; Ephron S. Rosenzweig; John H. Brock; Sarah C. Strand; Rod Moseanko; Stephanie Hawbecker; Sharon Zdunowski; Jessica L. Nielson; Roland R. Roy; Grégoire Courtine; Adam R. Ferguson; V. Reggie Edgerton; Michael S. Beattie; Jacqueline C. Bresnahan; Mark H. Tuszynski

Primates are an important and unique animal resource. We have developed a nonhuman primate model of spinal cord injury (SCI) to expand our knowledge of normal primate motor function, to assess the impact of disease and injury on sensory and motor function, and to test candidate therapies before they are applied to human patients. The lesion model consists of a lateral spinal cord hemisection at the C7 spinal level with subsequent examination of behavioral, electrophysiological, and anatomical outcomes. Results to date have revealed significant neuroanatomical and functional differences between rodents and primates that impact the development of candidate therapies. Moreover, these findings suggest the importance of testing some therapeutic approaches in nonhuman primates prior to the use of invasive approaches in human clinical trials. Our primate model is intended to: 1) lend greater positive predictive value to human translatable therapies, 2) develop appropriate methods for human translation, 3) lead to basic discoveries that might not be identified in rodent models and are relevant to human translation, and 4) identify new avenues of basic research to “reverse-translate” important questions back to rodent models.


Nature Communications | 2015

Topological Data Analysis for Discovery in Preclinical Spinal Cord Injury and Traumatic Brain Injury

Jessica L. Nielson; Jesse Paquette; Aiwen W. Liu; Cristian F. Guandique; C. Amy Tovar; Tomoo Inoue; Karen Amanda Irvine; John C. Gensel; Jennifer Kloke; Tanya Petrossian; Pek Y. Lum; Gunnar Carlsson; Geoffrey T. Manley; Wise Young; Michael S. Beattie; Jacqueline C. Bresnahan; Adam R. Ferguson

Data-driven discovery in complex neurological disorders has potential to extract meaningful syndromic knowledge from large, heterogeneous data sets to enhance potential for precision medicine. Here we describe the application of topological data analysis (TDA) for data-driven discovery in preclinical traumatic brain injury (TBI) and spinal cord injury (SCI) data sets mined from the Visualized Syndromic Information and Outcomes for Neurotrauma-SCI (VISION-SCI) repository. Through direct visualization of inter-related histopathological, functional and health outcomes, TDA detected novel patterns across the syndromic network, uncovering interactions between SCI and co-occurring TBI, as well as detrimental drug effects in unpublished multicentre preclinical drug trial data in SCI. TDA also revealed that perioperative hypertension predicted long-term recovery better than any tested drug after thoracic SCI in rats. TDA-based data-driven discovery has great potential application for decision-support for basic research and clinical problems such as outcome assessment, neurocritical care, treatment planning and rapid, precision-diagnosis.


The Journal of Neuroscience | 2010

Unexpected survival of neurons of origin of the pyramidal tract after spinal cord injury

Jessica L. Nielson; Ilse Sears-Kraxberger; Melissa K. Strong; Jamie K. Wong; Rafer Willenberg; Oswald Steward

There is continuing controversy about whether the cells of origin of the corticospinal tract (CST) undergo retrograde cell death after spinal cord injury (SCI). All previous attempts to assess this have used imaging and/or histological techniques to assess upper motoneurons in the cerebral cortex. Here, we address the question in a novel way by assessing Wallerian degeneration and axon numbers in the medullary pyramid of Sprague Dawley rats after both acute SCI, either at cervical level 5 (C5) or thoracic level 9 (T9), and chronic SCI at T9. Our findings demonstrate that only a fraction of a percentage of the total axons in the medullary pyramid exhibit any sign of degeneration at any time after SCI—no more so than in uninjured control rats. Moreover, design-based counts of myelinated axons revealed no decrease in axon number in the medullary pyramid after SCI, regardless of injury level, severity, or time after injury. Spinal cord-injured rats had fewer myelinated axons in the medullary pyramid at 1 year after injury than aged matched controls, suggesting that injury may affect ongoing myelination of axons during aging. We conclude that SCI does not cause death of the CST cell bodies in the cortex; therefore, therapeutic strategies aimed at promoting axon regeneration of the CST in the spinal cord do not require a separate intervention to prevent retrograde degeneration of upper motoneurons in the cortex.


The Journal of Comparative Neurology | 2011

A reassessment of whether cortical motor neurons die following spinal cord injury.

Jessica L. Nielson; Melissa K. Strong; Oswald Steward

Over the past century, the question of whether the cells of origin of the corticospinal tract (CST) die following spinal cord injury (SCI) has been debated. A recent study reported an approximately 20% loss of retrogradely labeled cortical motoneurons following damage to their axons resulting from SCI at T9 (Hains et al. [ 2003 ] J. Comp. Neurol. 462:328–341). In follow‐up studies, however, we failed to find any evidence of loss of CST axons in the medullary pyramid, which must occur if CST neurons die. Here, we seek to resolve the discrepancy by re‐evaluating possible loss of CST neurons using the same techniques as Hains et al. (quantitative analysis of retrograde labeling and staining for cell death markers including TUNEL and Hoechst labeling of the nuclei). Following either dorsal funiculus lesions at thoracic level 9 (T9) or lateral hemisection at cervical level 5 (C5), our results reveal no evidence for a loss of retrogradely labeled neurons and no evidence for TUNEL staining of axotomized cortical motoneurons. These results indicate that CST cell bodies do not undergo retrograde cell death following SCI, and therefore targeting such cell death is not a valid therapeutic target. J. Comp. Neurol. 519:2852–2869, 2011.


Science Translational Medicine | 2015

Pronounced species divergence in corticospinal tract reorganization and functional recovery after lateralized spinal cord injury favors primates

Lucia Friedli; Ephron S. Rosenzweig; Quentin Barraud; Martin Schubert; Nadia Dominici; Lea Awai; Jessica L. Nielson; Pavel Musienko; Yvette S. Nout-Lomas; Hui Zhong; Sharon Zdunowski; Roland R. Roy; Sarah C. Strand; Rubia van den Brand; Leif A. Havton; Michael S. Beattie; Jacqueline C. Bresnahan; Erwan Bezard; Jocelyne Bloch; V. Reggie Edgerton; Adam R. Ferguson; Armin Curt; Mark H. Tuszynski; Grégoire Courtine

Fundamental differences in the anatomy and function of the corticospinal tract support enhanced recovery of leg and hand function after lateralized spinal cord injury in primates compared to rodents, emphasizing the importance of primate models for spinal cord repair therapies. Species-specific recovery Despite decades of research and success in rodent models, there are no therapies that repair the human spinal cord. Friedli et al. looked at the reorganization and function of the corticospinal tract after spinal cord injury (SCI) in rats, monkeys, and humans. In humans with lateralized SCI (affecting only one side of the spinal cord), there was greater recovery in motor function than those with more symmetric injuries; this recovery was mirrored in monkeys with a similar SCI, but not in rats. The authors looked into why such a species divergence exists, and revealed that monkeys had a greater number of bilateral axonal projections that sprouted into denervated spinal segments below the injury, whereas rats had interrupted projections and near-complete depletion of corticospinal fibers. Thus, monkeys and humans have the potential for synaptic reorganization above and below the lesion, and this corticospinal tract reorganization correlates with functional recovery. The authors suggest that primate models should be considered more frequently for research aimed at SCI repair and therapeutics, but acknowledge the importance of rodent models in the field. Furthermore, because the degree of laterality correlates with a positive outcome, the authors suggest that it be factored into clinical trial design. Experimental and clinical studies suggest that primate species exhibit greater recovery after lateralized compared to symmetrical spinal cord injuries. Although this observation has major implications for designing clinical trials and translational therapies, advantages in recovery of nonhuman primates over other species have not been shown statistically to date, nor have the associated repair mechanisms been identified. We monitored recovery in more than 400 quadriplegic patients and found that functional gains increased with the laterality of spinal cord damage. Electrophysiological analyses suggested that corticospinal tract reorganization contributes to the greater recovery after lateralized compared with symmetrical injuries. To investigate underlying mechanisms, we modeled lateralized injuries in rats and monkeys using a lateral hemisection, and compared anatomical and functional outcomes with patients who suffered similar lesions. Standardized assessments revealed that monkeys and humans showed greater recovery of locomotion and hand function than did rats. Recovery correlated with the formation of corticospinal detour circuits below the injury, which were extensive in monkeys but nearly absent in rats. Our results uncover pronounced interspecies differences in the nature and extent of spinal cord repair mechanisms, likely resulting from fundamental differences in the anatomical and functional characteristics of the motor systems in primates versus rodents. Although rodents remain essential for advancing regenerative therapies, the unique response of the primate corticospinal tract after injury reemphasizes the importance of primate models for designing clinically relevant treatments.


PLOS ONE | 2013

Derivation of Multivariate Syndromic Outcome Metrics for Consistent Testing across Multiple Models of Cervical Spinal Cord Injury in Rats

Adam R. Ferguson; Karen Amanda Irvine; John C. Gensel; Jessica L. Nielson; Amity Lin; Johnathan Ly; Mark R. Segal; Rajiv R. Ratan; Jacqueline C. Bresnahan; Michael S. Beattie

Spinal cord injury (SCI) and other neurological disorders involve complex biological and functional changes. Well-characterized preclinical models provide a powerful tool for understanding mechanisms of disease; however managing information produced by experimental models represents a significant challenge for translating findings across research projects and presents a substantial hurdle for translation of novel therapies to humans. In the present work we demonstrate a novel ‘syndromic’ information-processing approach for capitalizing on heterogeneous data from diverse preclinical models of SCI to discover translational outcomes for therapeutic testing. We first built a large, detailed repository of preclinical outcome data from 10 years of basic research on cervical SCI in rats, and then applied multivariate pattern detection techniques to extract features that are conserved across different injury models. We then applied this translational knowledge to derive a data-driven multivariate metric that provides a common ‘ruler’ for comparisons of outcomes across different types of injury (NYU/MASCIS weight drop injuries, Infinite Horizons (IH) injuries, and hemisection injuries). The findings revealed that each individual endpoint provides a different view of the SCI syndrome, and that considering any single outcome measure in isolation provides a misleading, incomplete view of the SCI syndrome. This limitation was overcome by taking a novel multivariate integrative approach for leveraging complex data from preclinical models of neurological disease to identify therapies that target multiple outcomes. We suggest that applying this syndromic approach provides a roadmap for translating therapies for SCI and other complex neurological diseases.


Neurorehabilitation and Neural Repair | 2012

Methods for functional assessment after C7 spinal cord hemisection in the rhesus monkey

Yvette S. Nout; Adam R. Ferguson; Sarah C. Strand; Rod Moseanko; Stephanie Hawbecker; Sharon Zdunowski; Jessica L. Nielson; Roland R. Roy; Hui Zhong; Ephron S. Rosenzweig; John H. Brock; Grégoire Courtine; V. Reggie Edgerton; Mark H. Tuszynski; Michael S. Beattie; Jacqueline C. Bresnahan

Background. Reliable outcome measures are essential for preclinical modeling of spinal cord injury (SCI) in primates. Measures need to be sensitive to both increases and decreases in function in order to demonstrate potential positive or negative effects of therapeutics. Objectives. To develop behavioral tests and analyses to assess recovery of function after SCI in the nonhuman primate. Methods. In all, 24 male rhesus macaques were subjected to complete C7 lateral hemisection. The authors scored recovery of function in an open field and during hand tasks in a restraining chair. In addition, EMG analyses were performed in the open field, during hand tasks, and while animals walked on a treadmill. Both control and treated monkeys that received candidate therapeutics were included in this report to determine whether the behavioral assays were capable of detecting changes in function over a wide range of outcomes. Results. The behavioral assays are shown to be sensitive to detecting a wide range of motor functional outcomes after cervical hemisection in the nonhuman primate. Population curves on recovery of function were similar across the different tasks; in general, the population recovers to about 50% of baseline performance on measures of forelimb function. Conclusions. The behavioral outcome measures that the authors developed in this preclinical nonhuman primate model of SCI can detect a broad range of motor recovery. A set of behavioral assays is an essential component of a model that will be used to test efficacies of translational candidate therapies for SCI.


Learning & Memory | 2010

Assessment of the role of MAP kinase in mediating activity-dependent transcriptional activation of the immediate early gene Arc/Arg3.1 in the dentate gyrus in vivo.

Jennifer K. Chotiner; Jessica L. Nielson; Shannon Farris; Gail Lewandowski; Fen Huang; Karla Banos; Ray de Leon; Oswald Steward

Different physiological and behavioral events activate transcription of Arc/Arg3.1 in neurons in vivo, but the signal transduction pathways that mediate induction in particular situations remain to be defined. Here, we explore the relationships between induction of Arc/Arg3.1 transcription in dentate granule cells in vivo and activation of mitogen-activated protein (MAP) kinase as measured by extracellular-regulated kinase 1/2 (ERK1/2) phosphorylation. We show that ERK1/2 phosphorylation is strongly induced in dentate granule cells within minutes after induction of perforant path long-term potentiation (LTP). Phospho-ERK staining appears in nuclei within minutes after stimulation commences, and ERK phosphorylation returns to control levels within 60 min. Electroconvulsive seizures, which strongly induce prolonged Arc/Arg3.1 transcription in dentate granule cells, induced ERK1/2 phosphorylation in granule cells that returned to control levels within 30 min. Following 30, 60, and 120 min of exploration in a novel complex environment, Arc/Arg3.1 transcription was activated in many more granule cells than stained positively for p-ERK at all time points. Although Arc/Arg3.1 transcription was induced in most pyramidal neurons in CA1 following exploration, very few pyramidal neurons exhibited nuclear p-ERK1/2 staining. Local delivery of U0126 during the induction of perforant path LTP blocked transcriptional activation of Arc/Arg3.1 in a small region near the injection site and blocked Arc/Arg3.1 protein expression over a wider region. Our results indicate that activation of Arc/Arg3.1 transcription in dentate granule cells in vivo is mediated in part by MAP kinase activation, but other signaling pathways also contribute, especially in the case of Arc/Arg3.1 induction in response to experience.


Frontiers in Neurology | 2014

The Irvine, Beatties, and Bresnahan (IBB) Forelimb Recovery Scale: An Assessment of Reliability and Validity

Karen Amanda Irvine; Adam R. Ferguson; Kathleen D. Mitchell; Stephanie B. Beattie; Amity Lin; Ellen D. Stück; J. Russell Huie; Jessica L. Nielson; Jason F. Talbott; Tomoo Inoue; Michael S. Beattie; Jacqueline C. Bresnahan

The IBB scale is a recently developed forelimb scale for the assessment of fine control of the forelimb and digits after cervical spinal cord injury [SCI; (1)]. The present paper describes the assessment of inter-rater reliability and face, concurrent and construct validity of this scale following SCI. It demonstrates that the IBB is a reliable and valid scale that is sensitive to severity of SCI and to recovery over time. In addition, the IBB correlates with other outcome measures and is highly predictive of biological measures of tissue pathology. Multivariate analysis using principal component analysis (PCA) demonstrates that the IBB is highly predictive of the syndromic outcome after SCI (2), and is among the best predictors of bio-behavioral function, based on strong construct validity. Altogether, the data suggest that the IBB, especially in concert with other measures, is a reliable and valid tool for assessing neurological deficits in fine motor control of the distal forelimb, and represents a powerful addition to multivariate outcome batteries aimed at documenting recovery of function after cervical SCI in rats.


PLOS ONE | 2017

Uncovering precision phenotype-biomarker associations in traumatic brain injury using topological data analysis

Jessica L. Nielson; Shelly R. Cooper; John K. Yue; Marco D. Sorani; Tomoo Inoue; Esther L. Yuh; Pratik Mukherjee; Tanya Petrossian; Jesse Paquette; Pek Y. Lum; Gunnar Carlsson; Mary J. Vassar; Hester F. Lingsma; Wayne A. Gordon; Alex B. Valadka; David O. Okonkwo; Geoffrey T. Manley; Adam R. Ferguson; Track-Tbi Investigators

Background Traumatic brain injury (TBI) is a complex disorder that is traditionally stratified based on clinical signs and symptoms. Recent imaging and molecular biomarker innovations provide unprecedented opportunities for improved TBI precision medicine, incorporating patho-anatomical and molecular mechanisms. Complete integration of these diverse data for TBI diagnosis and patient stratification remains an unmet challenge. Methods and findings The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Pilot multicenter study enrolled 586 acute TBI patients and collected diverse common data elements (TBI-CDEs) across the study population, including imaging, genetics, and clinical outcomes. We then applied topology-based data-driven discovery to identify natural subgroups of patients, based on the TBI-CDEs collected. Our hypothesis was two-fold: 1) A machine learning tool known as topological data analysis (TDA) would reveal data-driven patterns in patient outcomes to identify candidate biomarkers of recovery, and 2) TDA-identified biomarkers would significantly predict patient outcome recovery after TBI using more traditional methods of univariate statistical tests. TDA algorithms organized and mapped the data of TBI patients in multidimensional space, identifying a subset of mild TBI patients with a specific multivariate phenotype associated with unfavorable outcome at 3 and 6 months after injury. Further analyses revealed that this patient subset had high rates of post-traumatic stress disorder (PTSD), and enrichment in several distinct genetic polymorphisms associated with cellular responses to stress and DNA damage (PARP1), and in striatal dopamine processing (ANKK1, COMT, DRD2). Conclusions TDA identified a unique diagnostic subgroup of patients with unfavorable outcome after mild TBI that were significantly predicted by the presence of specific genetic polymorphisms. Machine learning methods such as TDA may provide a robust method for patient stratification and treatment planning targeting identified biomarkers in future clinical trials in TBI patients. Trial Registration ClinicalTrials.gov Identifier NCT01565551

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Grégoire Courtine

École Polytechnique Fédérale de Lausanne

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Oswald Steward

University of California

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Rod Moseanko

University of California

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