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Making Spinal Cord Injury (SCI) Research Accessible to Everyone. Simplified summaries of the latest research, designed for patients, caregivers and anybody who's interested.

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Bioinformatics Research

Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.

Showing 141-150 of 334 results

Spinal Cord InjuryGeneticsBioinformatics

Circulating PAMM, a novel antioxidant and anti‑inflammatory protein, is elevated in acute SCI

J Transl Med, 2020 • March 14, 2020

This study assessed factors associated with circulating PAMM levels in adults with acute, traumatic SCI and in adults without SCI. Factors associated with PAMM levels varied based on the presence or a...

KEY FINDING: Participants with motor complete SCI showed the greatest change in PAMM levels compared to able-bodied individuals, with a statistically significant difference.

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Spinal Cord InjuryNeurologyBioinformatics

RNA-seq data of soleus muscle tissue after spinal cord injury under conditions of inactivity and applied exercise

Data in brief, 2020 • December 31, 2019

This data article describes RNA sequencing data for detecting chronic transcriptomic changes in the rat soleus after SCI at two levels of injury severity, under conditions of restricted in-cage activi...

KEY FINDING: The sequenced data demonstrates good quality with a high alignment rate to the Rattus norvegicus reference assembly (Rn6).

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Spinal Cord InjuryBioinformaticsRehabilitation

Correction: Examining the complexity of functioning in persons with spinal cord injury attending first rehabilitation in Switzerland using structural equation modelling

Spinal Cord, 2020 • April 8, 2020

This correction pertains to an error in a previously published article concerning the classification of participants with spinal cord injuries as either paraplegia or tetraplegia. The errors were pres...

KEY FINDING: The correction addresses an error in the naming of paraplegia and tetraplegia groups.

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Spinal Cord InjuryBioinformaticsResearch Methodology & Design

Baseline-adjusted proportional odds models for the quantification of treatment effects in trials with ordinal sum score outcomes

BMC Medical Research Methodology, 2020 • May 7, 2020

The paper introduces baseline-adjusted proportional odds models for analyzing ordinal outcomes in clinical trials, addressing limitations of conventional methods. A simulation study demonstrated the s...

KEY FINDING: The simulation study demonstrated that the statistical power of the novel method was greater than that of conventional methods.

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NeurologyBioinformatics

A computational outlook on neurostimulation

Bioelectronic Medicine, 2020 • April 8, 2020

Computational models have significantly impacted neurostimulation, aiding in pain and movement recovery, deep brain stimulation, and device regulations. These models serve as virtual testing platforms...

KEY FINDING: Computational models have improved the understanding of direct neuromodulatory effects of deep brain stimulation (DBS), suggesting that DBS provides symptom relief by creating an informational lesion in the brain.

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Bioinformatics

Variance estimation in tests of clustered categorical data with informative cluster size

Stat Methods Med Res, 2020 • November 1, 2020

This paper develops cluster-weighted estimators of marginal proportions that remain unbiased under informativeness, and derives analogues of three popular tests for clustered categorical data: the one...

KEY FINDING: Cluster-weighted tests based on variance estimators constructed under the null hypothesis maintain size closest to nominal.

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NeurologyBioinformaticsResearch Methodology & Design

Batch Bayesian optimization design for optimizing a neurostimulator

Biometrics, 2021 • June 1, 2021

The study proposes an adaptive method that tailors spinal cord stimulation devices to individual patient preferences. Batch Bayesian Optimization is used to balance exploration of the device configura...

KEY FINDING: Batch Bayesian optimization can be used to efficiently identify device configurations for long-term use with near-best patient preference.

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NeurologyPain ManagementBioinformatics

Spinal cord stimulation using differential target multiplexed programming modulates neural cell-specific transcriptomes in an animal model of neuropathic pain

Molecular Pain, 2020 • January 1, 2020

The study investigates the effects of different spinal cord stimulation (SCS) techniques on cell-specific transcriptomes in a rat model of neuropathic pain. It compares differential target multiplexed...

KEY FINDING: DTMP yielded strong and significant correlations to expression levels found in the healthy animals across every evaluated cell-specific transcriptome.

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Spinal Cord InjuryCOVID-19Bioinformatics

Why Does COVID-19 Affect Patients with Spinal Cord Injury Milder? A Case-Control Study: Results from Two Observational Cohorts

Journal of Personalized Medicine, 2020 • October 21, 2020

This study used a proteomic approach to understand the molecular mechanisms of COVID-19 infections in spinal cord injury (SCI) patients, aiming to identify biomarkers and potential therapeutic options...

KEY FINDING: Differentially expressed proteins were identified in SCI patients with COVID-19, with 20 proteins upregulated and 13 downregulated.

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Spinal Cord InjuryEndocrinologyBioinformatics

Effects of Growth Hormone Treatment and Rehabilitation in Incomplete Chronic Traumatic Spinal Cord Injury: Insight from Proteome Analysis

Journal of Personalized Medicine, 2020 • October 21, 2020

This study used a proteomic approach to identify biomarkers in blood plasma that could predict the response of patients with incomplete chronic traumatic spinal cord injury (SCI) to growth hormone (GH...

KEY FINDING: The combined treatment of GH plus rehabilitation is feasible and safe, and that GH but not placebo slightly improves the SCI individual motor score.

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