ArticleScientific data2022
Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Impact of meningioma and glioma on whole-brain dynamics.Scientific reports · 2026Article
- On the Readiness of Scientific Data Papers for a Fair and Transparent Use in Machine Learning.Scientific data · 2025Article
- Assessing regional homogeneity and cognitive function alterations in pediatric brain tumor patients: a resting-state functional magnetic resonance imaging study.Quantitative imaging in medicine and surgery · 2024Article
- Functional and structural reorganization in brain tumors: a machine learning approach using desynchronized functional oscillations.Communications biology · 2024Article
- Acquisition and Analysis of Excised Neocortex from Pediatric Patients with Focal Cortical Dysplasia Using Mesoscale Diffusion MRI.Diagnostics (Basel, Switzerland) · 2023Article
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Authors and funding
12 authors.
Funding
Abstract
We present a dataset of magnetic resonance imaging (MRI) data (T1, diffusion, BOLD) acquired in 25 brain tumor patients before the tumor resection surgery, and six months after the surgery, together with the tumor masks, and in 11 controls (recruited among the patients' caregivers). The dataset also contains behavioral and emotional scores obtained with standardized questionnaires. To simulate personalized computational models of the brain, we also provide structural connectivity matrices, necessary to perform whole-brain modelling with tools such as The Virtual Brain. In addition, we provide blood-oxygen-level-dependent imaging time series averaged across regions of interest for comparison with simulation results. An average resting state hemodynamic response function for each region of interest, as well as shape maps for each voxel, are also contributed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.