Data Sheet 1_The onco-functional reorganization of language network underlying metaplastic

Lu Jin's research dataset includes task and resting-state fMRI data from 100 patients with gliomas and 127 matched normal controls. The data was used to analyze language network reorganization patterns and their relationship with clinicopathological factors. The dataset was last updated on 2026-05-29 and is shared under a CC-BY-4.0 license.

Use Cases

• Modeling effective brain connectivity based on spectral DCM analyses described in the study.
• Investigating the relationship between tumor location/grade and language network activation patterns based on VLSM analyses.
• Analyzing the mediation pathways among clinicopathological factors, network topology, and language performance as described in the results.

Strengths

• Includes data from a substantial cohort of 100 glioma patients and 127 matched controls.
• Combines multiple analysis methods: task and resting-state fMRI, spectral DCM, and connectome analyses.
• Dataset is openly shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 1.7 MB file size suggests the dataset may contain summary or processed results rather than raw neuroimaging data.

Provenance

Source

Lu Jin via figshare.

Collection Method

Data was gathered from fMRI scans during a picture-naming paradigm and subsequent computational analyses.

Freshness

Last updated 2026-05-29 04:46:41; freshness should be verified.