Bioinformatics Research

KEY FINDING: The study provides a complete dataset of transcriptional changes in the central nervous system of rats with incomplete spinal cord injury following cortical electrical stimulation.

KEY FINDING: The study aims to identify neurophysiological biomarkers, particularly markers of inhibition, that have relevance in the scientific and therapeutic improvement in rehabilitation.

KEY FINDING: A different gene expression regulation is observed in the SC segments rostral and caudal to the lesion.

KEY FINDING: The proposed method achieved an overall accuracy of 96.86% in recognizing physical activities.

KEY FINDING: The machine learning models achieved high accuracy in predicting TAI item scores, with AUC values ranging from 0.79 to 0.94 and precisions over 0.87.

KEY FINDING: Significantly elevated neutrophil numbers in the blood of patients with an acute traumatic SCI and the likelihood of little to no functional improvement at hospital discharge.

KEY FINDING: Time outside of an optimum MAP range (hypotension or hypertension) during surgery was associated with lower likelihood of neurological recovery at hospital discharge.

KEY FINDING: Evidence regarding changes in ALP levels in individuals with SCI compared to controls is conflicting.

KEY FINDING: OMGait can measure hip, knee, and ankle joint kinematics with relatively good accuracy using a common mobile phone camera and a personal computer using OpenPose.

KEY FINDING: Hsa_circ_0026646 was identified as a core circRNA upregulated in SCI, potentially acting as a 'molecular sponge' for miR-331-3p.