Table 1_Changes in thalamic metabolites correlate with severity of spinal cord injury base

Xiaodan Mu's dataset contains results from a prospective study of 93 cervical spondylotic myelopathy (CSM) patients and 67 healthy controls, conducted from December 2023 to September 2024. It includes magnetic resonance spectroscopy (MRS) and diffusion tensor imaging (DTI) parameters from the thalamus and cervical spine, with correlation analyses and multivariate linear regression equations. The data is stored in a 15.3 KB DOCX file.

Use Cases

• Predicting spinal cord injury severity based on thalamic metabolite ratios like NAA/Cr and Cho/Cr.
• Modeling the relationship between symptom duration and metabolic alterations using the provided regression equations.
• Analyzing correlations between DTI parameters (FA, ADC) and MRS metabolite ratios in CSM patients.
• Comparing neuroimaging biomarkers between patient and healthy control cohorts for clinical research.

Strengths

• Includes data from 160 total participants (93 patients, 67 controls).
• Study period is explicitly stated as December 2023 to September 2024.
• Specific statistical results (p-values, correlation coefficients) and regression equations are provided in the description.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small at 15.3 KB, indicating limited scope.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Xiaodan Mu via figshare

Collection Method

Prospective study using magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS), and diffusion tensor imaging (DTI).

Time Range

December 2023 to September 2024

Freshness

Last updated 2026-04-13 04:31:19; freshness should be verified.

Geography

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