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- 01GM8H6SFZJ7K8TRM3SVHNTK10 classification A1.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 date "2022".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 language "eng".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 type journalArticle.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 hasPart 01GM8H82E51DC4HA72AYB50NNQ.pdf.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 subject "Medicine and Health Sciences".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 subject "Technology and Engineering".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 doi "10.1038/s41597-022-01806-4".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 issn "2052-4463".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 issue "1".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 volume "9".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 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.".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author 10EF6A40-1740-11E3-846B-F97910BDE39D.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author 13AF57A0-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author 3041F418-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author 31BC56A8-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author 3901DE6A-F0EE-11E1-A9DE-61C894A0A6B4.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author urn:uuid:053d31c4-9239-4355-bed4-56137954924d.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author urn:uuid:3e48dcf7-94f4-44f0-a4eb-4e625c9e0ed9.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author urn:uuid:673b12dc-bf49-4ba0-8cbf-4fdf6248f5ef.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author urn:uuid:67dc6408-eead-4dc4-bbf2-0d61217e09c2.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author urn:uuid:aa64a990-7abe-4027-abe2-52bd18e5069b.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author urn:uuid:ac033933-c245-4b06-9fa4-f3550b422c16.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 author urn:uuid:c7ebfa25-117c-4352-bbdb-e1536b762b41.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 dateCreated "2022-12-14T14:39:22Z".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 dateModified "2025-03-06T10:25:29Z".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 name "Pre- and post-surgery brain tumor multimodal magnetic resonance imaging data optimized for large scale computational modelling".
- 01GM8H6SFZJ7K8TRM3SVHNTK10 pagination urn:uuid:911ba87f-06f1-4f06-a5a7-4b500c642e75.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 sameAs LU-01GM8H6SFZJ7K8TRM3SVHNTK10.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 sourceOrganization urn:uuid:4c2198f4-d2a1-47bf-9f91-a371c84e98d1.
- 01GM8H6SFZJ7K8TRM3SVHNTK10 type A1.