Browse the latest research summaries in the field of bioinformatics for spinal cord injury patients and caregivers.
Showing 71-80 of 334 results
DIGITAL HEALTH, 2023 • May 2, 2023
The study utilizes a Kinect-based motion analysis system to objectively evaluate bradykinesia in Parkinson's disease (PD) patients, comparing them to healthy controls (HC). Kinematic features derived ...
KEY FINDING: Significant correlations were found between kinematic features measured by the Kinect system and clinical scales used to assess Parkinson's disease.
J. Clin. Med., 2024 • January 1, 2024
This study evaluated the use of Artificial Neural Networks (ANNs) to predict the prognosis of patients with cervical spinal cord injury (SCI) using acute-phase clinical data. The ANNs model outperform...
KEY FINDING: ANNs predicted the prognosis of patients with cervical SCI more accurately than MLR analysis (75.0% vs 31.3%).
Frontiers in Medicine, 2023 • June 8, 2023
This study aimed to explore the molecular events related to bone defect progression using bioinformatic analysis of transcriptome data and experimental validation. Key findings include the identificat...
KEY FINDING: The study identified 2057, 827, and 1,024 DEGs at 7, 14, and 21 days post injury, respectively, in critical size defects (CSD) compared to non-critical size defects (NCSD).
Stat Med, 2023 • June 15, 2023
The paper addresses the problem of informative cluster size (ICS) in the context of pseudo-value regression for clustered time-to-event data. It explores different strategies for ICS adjustment, inclu...
KEY FINDING: The study identifies appropriate strategies for adjusting for informative cluster size (ICS) in pseudo-value regression analysis.
J. Pers. Med., 2023 • April 2, 2023
This study investigates plasma levels of malondialdehyde (MDA), a marker of lipid peroxidation, in patients with chronic spinal cord injury (SCI) stratified by time since injury. The results demonstra...
KEY FINDING: Patients with SCI had significantly higher plasma levels of MDA than healthy control subjects.
Journal of Neurotrauma, 2023 • December 1, 2023
This study longitudinally profiled immunological changes in individuals with SCI during the first year post-injury, identifying dynamic molecular and cellular changes using RNA sequencing, flow cytome...
KEY FINDING: Reduced expression of NK cell genes was observed within the first 6 months post-injury, consistent with reduced frequencies of CD56bright and CD56dim NK cells at 12 months post-injury.
Metabolites, 2023 • April 28, 2023
This pilot study investigated whether blood-derived metabolites could serve as prognostic biomarkers for recovery following spinal cord injury (SCI). NMR spectroscopy was used to identify changes in s...
KEY FINDING: Specific metabolites, including acetyl phosphate, 1,3,7-trimethyluric acid and citric acid, showed significant changes in SCI patients.
Diagnostics, 2023 • May 22, 2023
This prospective controlled study aimed to identify CSF and serum biomarker profiles that could indicate SCI diagnosis, severity, and prognosis to aid in assessing appropriate treatment modalities. Th...
KEY FINDING: CSF and serum concentrations of SBDP150, S100B, GFAP, NF-L, UCHL-1, Tau, and IL-6 were significantly higher in SCI patients compared to the control group.
Biomedicines, 2023 • April 26, 2023
This review examines the distribution of electric fields in the spinal cord during tsDCS, as predicted by MRI-based models, comparing this information with clinical findings to optimize tsDCS protocol...
KEY FINDING: tsDCS-induced electric fields are generally safe and can induce both immediate and long-lasting changes in the spinal cord.
Frontiers in Neuroscience, 2023 • June 2, 2023
This paper presents a novel hybrid neural network framework for subject-independent EEG classification, which combines data augmentation using a filter bank GAN (FBGAN) with a discriminative feature n...
KEY FINDING: The hybrid neural network achieved an average classification accuracy of 72.74 ± 10.44% in four-class tasks of BCI IV-2a.