A structural and functional magnetic resonance imaging dataset of brain tumour patients.

Cyril Pernet; Gorgolewski Krzysztof; Dominic Job; David Rodriguez Gonzalez; Ian Whittle; Joanna Wardlaw

doi:doi:10.1038/sdata.2016.3

A structural and functional magnetic resonance imaging dataset of brain tumour patients.

Cyril Pernet, Gorgolewski Krzysztof, Dominic Job, David Rodriguez Gonzalez, Ian Whittle, Joanna Wardlaw

Research output: Contribution to journal › Article › peer-review

Abstract

We collected high resolution structural (T1, T2, DWI) and several functional (BOLD T2*) MRI data in 22 patients with different types of brain tumours. Functional imaging protocols included a motor task, a verb generation task, a word repetition task and resting state. Imaging data are complemented by demographics (age, sex, handedness, and pathology), behavioural results to motor and cognitive tests and direct cortical electrical stimulation data (pictures of stimulation sites with outcomes) performed during surgery. Altogether, these data are suited to test functional imaging methods for single subject analyses, in particular methods that focus on locating eloquent cortical areas, critical functional and/or structural network hubs, and predict patient status based on imaging data (presurgical mapping).

Original language	English
Article number	160003
Number of pages	6
Journal	Scientific Data
Early online date	2 Feb 2016
DOIs	https://doi.org/doi:10.1038/sdata.2016.3
Publication status	E-pub ahead of print - 2 Feb 2016

Keywords / Materials (for Non-textual outputs)

FMRI
DTI
brain tumours
DATASET

Access to Document

doi:10.1038/sdata.2016.3

sdata20163
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Final published version, 1.14 MBLicence: Creative Commons: Attribution (CC-BY)

http://www.nature.com/articles/sdata20163

A neuroimaging dataset of brain tumour patients
Pernet, C. (Creator), Krzysztof, G. (Creator) & Whittle, I. (Creator), UK Data Service, Jan 2016
DOI: 10.5255/UKDA-SN-851861, http://reshare.ukdataservice.ac.uk/851861/
Dataset

1 Participation in workshop, seminar, course
1 Invited talk

Reproducibility in imaging
Cyril Pernet (Keynote/plenary speaker)
27 May 2016
Activity: Participating in or organising an event types › Participation in workshop, seminar, course
Making fMRI for brain tumours a routine clinical tool: issues and applications
Cyril Pernet (Invited speaker)
28 Apr 2016
Activity: Academic talk or presentation types › Invited talk

Cite this

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title = "A structural and functional magnetic resonance imaging dataset of brain tumour patients.",

abstract = "We collected high resolution structural (T1, T2, DWI) and several functional (BOLD T2*) MRI data in 22 patients with different types of brain tumours. Functional imaging protocols included a motor task, a verb generation task, a word repetition task and resting state. Imaging data are complemented by demographics (age, sex, handedness, and pathology), behavioural results to motor and cognitive tests and direct cortical electrical stimulation data (pictures of stimulation sites with outcomes) performed during surgery. Altogether, these data are suited to test functional imaging methods for single subject analyses, in particular methods that focus on locating eloquent cortical areas, critical functional and/or structural network hubs, and predict patient status based on imaging data (presurgical mapping).",

keywords = "FMRI, DTI, brain tumours, DATASET",

author = "Cyril Pernet and Gorgolewski Krzysztof and Dominic Job and {Rodriguez Gonzalez}, David and Ian Whittle and Joanna Wardlaw",

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T1 - A structural and functional magnetic resonance imaging dataset of brain tumour patients.

AU - Pernet, Cyril

AU - Krzysztof, Gorgolewski

AU - Job, Dominic

AU - Rodriguez Gonzalez, David

AU - Whittle, Ian

AU - Wardlaw, Joanna

PY - 2016/2/2

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N2 - We collected high resolution structural (T1, T2, DWI) and several functional (BOLD T2*) MRI data in 22 patients with different types of brain tumours. Functional imaging protocols included a motor task, a verb generation task, a word repetition task and resting state. Imaging data are complemented by demographics (age, sex, handedness, and pathology), behavioural results to motor and cognitive tests and direct cortical electrical stimulation data (pictures of stimulation sites with outcomes) performed during surgery. Altogether, these data are suited to test functional imaging methods for single subject analyses, in particular methods that focus on locating eloquent cortical areas, critical functional and/or structural network hubs, and predict patient status based on imaging data (presurgical mapping).

AB - We collected high resolution structural (T1, T2, DWI) and several functional (BOLD T2*) MRI data in 22 patients with different types of brain tumours. Functional imaging protocols included a motor task, a verb generation task, a word repetition task and resting state. Imaging data are complemented by demographics (age, sex, handedness, and pathology), behavioural results to motor and cognitive tests and direct cortical electrical stimulation data (pictures of stimulation sites with outcomes) performed during surgery. Altogether, these data are suited to test functional imaging methods for single subject analyses, in particular methods that focus on locating eloquent cortical areas, critical functional and/or structural network hubs, and predict patient status based on imaging data (presurgical mapping).

KW - FMRI

KW - DTI

KW - brain tumours

KW - DATASET

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M3 - Article

SN - 2052-4463

JO - Scientific Data

JF - Scientific Data

M1 - 160003

ER -

A structural and functional magnetic resonance imaging dataset of brain tumour patients.

Abstract

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Datasets

A neuroimaging dataset of brain tumour patients

Activities

Reproducibility in imaging

Making fMRI for brain tumours a routine clinical tool: issues and applications

Cite this