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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 181-190 of 334 results

Spinal Cord InjuryBioinformaticsDermatology

A Computational, Tissue-Realistic Model of Pressure Ulcer Formation in Individuals with Spinal Cord Injury

PLOS Computational Biology, 2015 • June 25, 2015

An agent-based model (ABM) of ischemia/reperfusion-induced inflammation and PU (the PUABM) was created, calibrated to serial images of post-SCI PU, and used to investigate potential treatments in sili...

KEY FINDING: Tissue-level features of the PUABM recapitulated visual patterns of ulcer formation in individuals with SCI.

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Spinal Cord InjuryNeurologyBioinformatics

Development and validation of a computerized algorithm for International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI)

Spinal Cord, 2016 • September 1, 2015

The RHI-ISNCSCI Algorithm was developed and validated as a computerized tool to improve the accuracy and standardization of spinal cord injury classification according to the ISNCSCI standards. The al...

KEY FINDING: The RHI-ISNCSCI Algorithm provides a standardized method to accurately derive the level and severity of SCI from the raw data of the ISNCSCI examination.

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Spinal Cord InjuryBioinformaticsRehabilitation

Response to: Reliability Of the International Spinal Cord Injury Musculoskeletal Basic Data Set; Methodological and Statistical Issue to Avoid Misinterpretation

Spinal Cord Series and Cases, 2016 • September 29, 2016

This correspondence addresses methodological concerns about using Kappa statistics to assess the reliability of the International Spinal Cord Injury Musculoskeletal Basic Data Set (ISCIMSBDS). The aut...

KEY FINDING: The study defends the use of Kappa statistics for dichotomous variables in the ISCIMSBDS reliability study.

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Spinal Cord InjuryPain ManagementBioinformatics

Gene expression profiles reveal key pathways and genes associated with neuropathic pain in patients with spinal cord injury

MOLECULAR MEDICINE REPORTS, 2017 • January 1, 2017

The study aimed to investigate gene alterations in patients with spinal cord injury (SCI) and to further examine the mechanisms underlying neuropathic pain (NP) following SCI. A total of 70 upregulate...

KEY FINDING: A total of 70 upregulated and 61 downregulated DEGs were identified in the PBMC samples from patients with NP.

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Medical ImagingBioinformaticsMusculoskeletal Medicine

Nonlinear Trimodal Regression Analysis of Radiodensitometric Distributions to Quantify Sarcopenic and Sequelae Muscle Degeneration

Computational and Mathematical Methods in Medicine, 2016 • December 7, 2016

This study introduces a novel nonlinear trimodal regression analysis methodology for quantifying muscle degeneration using radiodensitometric distributions from CT scans. The method was tested on a ra...

KEY FINDING: The study found significant qualitative differences in the shapes of HU distributions among healthy, elderly, and pathological subjects. The healthy subject had a high-amplitude muscle peak, while the elderly subject had a more pronounced fat peak.

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Spinal Cord InjuryBioinformaticsBiomechanics

Femoral loads during passive, active, and active–resistive stance after spinal cord injury: a mathematical model

Clin Biomech (Bristol, Avon), 2004 • March 1, 2004

The purpose of this study was to estimate the loading environment for the distal femur during a novel standing exercise paradigm for people with spinal cord injury. A static, 2-D model was developed t...

KEY FINDING: Active-resistive stance resulted in maximal distal femur compression estimates of ~240% of body weight.

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NeurorehabilitationBioinformatics

Evaluating neurorehabilitation: lessons from routine data collection

J Neurol Neurosurg Psychiatry, 2005 • May 1, 2005

This study demonstrates that systematic collection, analysis, and interpretation of standardised clinical outcomes data are feasible within routine clinical practice. Inpatient rehabilitation is effec...

KEY FINDING: Patients in the neurorehabilitation unit showed improvements in functional ability, as measured by the Barthel Index (BI) and Functional Independence Measure (FIM).

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NeurologyBioinformaticsBiomedical

Training an Actor-Critic Reinforcement Learning Controller for Arm Movement Using Human-Generated Rewards

IEEE Trans Neural Syst Rehabil Eng, 2017 • October 1, 2017

This study investigates the use of human-generated rewards to train reinforcement learning (RL) controllers for functional electrical stimulation (FES) of arm movements in individuals with spinal cord...

KEY FINDING: RL controllers trained with human and pseudo-human rewards significantly outperformed standard controllers in reaching tasks.

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BioinformaticsBiomedical

Combined feedforward and feedback control of a redundant, nonlinear, dynamic musculoskeletal system

Med Biol Eng Comput, 2009 • May 1, 2009

This paper introduces a feedforward–feedback controller for a two-joint, six-muscle arm model, designed for functional electrical stimulation (FES) systems. The controller incorporates an artificial n...

KEY FINDING: The combined feedforward-feedback controller achieved a tracking error of less than 4° in ideal conditions.

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Spinal Cord InjuryNeurologyBioinformatics

Proteomic and Phosphoproteomic Analyses of the Soluble Fraction following Acute Spinal Cord Contusion in Rats

JOURNAL OF NEUROTRAUMA, 2010 • January 1, 2010

This study used proteomic and phosphoproteomic analyses to characterize changes in protein expression and phosphorylation in the soluble fraction of rat spinal cords 24 hours after a contusion injury....

KEY FINDING: Several blood-related proteins were found only in injured tissue or were highly upregulated, indicating vascular damage after SCI.

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