Literature DB >> 26794641

A brain imaging repository of normal structural MRI across the life course: Brain Images of Normal Subjects (BRAINS).

Dominic E Job1, David Alexander Dickie2, David Rodriguez2, Andrew Robson2, Sammy Danso2, Cyril Pernet2, Mark E Bastin3, James P Boardman4, Alison D Murray5, Trevor Ahearn6, Gordon D Waiter5, Roger T Staff6, Ian J Deary7, Susan D Shenkin8, Joanna M Wardlaw9.   

Abstract

The Brain Images of Normal Subjects (BRAINS) Imagebank (http://www.brainsimagebank.ac.uk) is an integrated repository project hosted by the University of Edinburgh and sponsored by the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE) collaborators. BRAINS provide sharing and archiving of detailed normal human brain imaging and relevant phenotypic data already collected in studies of healthy volunteers across the life-course. It particularly focusses on the extremes of age (currently older age, and in future perinatal) where variability is largest, and which are under-represented in existing databanks. BRAINS is a living imagebank where new data will be added when available. Currently BRAINS contains data from 808 healthy volunteers, from 15 to 81years of age, from 7 projects in 3 centres. Additional completed and ongoing studies of normal individuals from 1st to 10th decades are in preparation and will be included as they become available. BRAINS holds several MRI structural sequences, including T1, T2, T2* and fluid attenuated inversion recovery (FLAIR), available in DICOM (http://dicom.nema.org/); in future Diffusion Tensor Imaging (DTI) will be added where available. Images are linked to a wide range of 'textual data', such as age, medical history, physiological measures (e.g. blood pressure), medication use, cognitive ability, and perinatal information for pre/post-natal subjects. The imagebank can be searched to include or exclude ranges of these variables to create better estimates of 'what is normal' at different ages.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain imaging; Database; Federated repository; MRI; Normal ageing

Mesh:

Year:  2016        PMID: 26794641     DOI: 10.1016/j.neuroimage.2016.01.027

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  20 in total

1.  Brain age from the electroencephalogram of sleep.

Authors:  Haoqi Sun; Luis Paixao; Jefferson T Oliva; Balaji Goparaju; Diego Z Carvalho; Kicky G van Leeuwen; Oluwaseun Akeju; Robert J Thomas; Sydney S Cash; Matt T Bianchi; M Brandon Westover
Journal:  Neurobiol Aging       Date:  2018-10-19       Impact factor: 4.673

Review 2.  Human brain atlasing: past, present and future.

Authors:  Wieslaw L Nowinski
Journal:  Neuroradiol J       Date:  2017-11-03

3.  Brain network reorganisation and spatial lesion distribution in systemic lupus erythematosus.

Authors:  Maria Del C Valdés Hernández; Keith Smith; Mark E Bastin; E Nicole Amft; Stuart H Ralston; Joanna M Wardlaw; Stewart J Wiseman
Journal:  Lupus       Date:  2020-12-13       Impact factor: 2.911

4.  NOWinBRAIN: a Large, Systematic, and Extendable Repository of 3D Reconstructed Images of a Living Human Brain Cum Head and Neck.

Authors:  Wieslaw L Nowinski
Journal:  J Digit Imaging       Date:  2022-01-10       Impact factor: 4.056

5.  Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.

Authors:  Susan D Shenkin; Cyril Pernet; Thomas E Nichols; Jean-Baptiste Poline; Paul M Matthews; Aad van der Lugt; Clare Mackay; Linda Lanyon; Bernard Mazoyer; James P Boardman; Paul M Thompson; Nick Fox; Daniel S Marcus; Aziz Sheikh; Simon R Cox; Devasuda Anblagan; Dominic E Job; David Alexander Dickie; David Rodriguez; Joanna M Wardlaw
Journal:  Neuroimage       Date:  2017-02-14       Impact factor: 6.556

6.  Hierarchical Complexity of the Macro-Scale Neonatal Brain.

Authors:  Manuel Blesa; Paola Galdi; Simon R Cox; Gemma Sullivan; David Q Stoye; Gillian J Lamb; Alan J Quigley; Michael J Thrippleton; Javier Escudero; Mark E Bastin; Keith M Smith; James P Boardman
Journal:  Cereb Cortex       Date:  2021-03-05       Impact factor: 5.357

7.  De-identification procedures for magnetic resonance images and the impact on structural brain measures at different ages.

Authors:  Elizabeth E L Buimer; Hugo G Schnack; Yaron Caspi; Neeltje E M van Haren; Mikhail Milchenko; Pascal Pas; Hilleke E Hulshoff Pol; Rachel M Brouwer
Journal:  Hum Brain Mapp       Date:  2021-05-11       Impact factor: 5.038

8.  Accurate Learning with Few Atlases (ALFA): an algorithm for MRI neonatal brain extraction and comparison with 11 publicly available methods.

Authors:  Ahmed Serag; Manuel Blesa; Emma J Moore; Rozalia Pataky; Sarah A Sparrow; A G Wilkinson; Gillian Macnaught; Scott I Semple; James P Boardman
Journal:  Sci Rep       Date:  2016-03-24       Impact factor: 4.379

9.  SEGMA: An Automatic SEGMentation Approach for Human Brain MRI Using Sliding Window and Random Forests.

Authors:  Ahmed Serag; Alastair G Wilkinson; Emma J Telford; Rozalia Pataky; Sarah A Sparrow; Devasuda Anblagan; Gillian Macnaught; Scott I Semple; James P Boardman
Journal:  Front Neuroinform       Date:  2017-01-20       Impact factor: 4.081

10.  Parcellation of the Healthy Neonatal Brain into 107 Regions Using Atlas Propagation through Intermediate Time Points in Childhood.

Authors:  Manuel Blesa; Ahmed Serag; Alastair G Wilkinson; Devasuda Anblagan; Emma J Telford; Rozalia Pataky; Sarah A Sparrow; Gillian Macnaught; Scott I Semple; Mark E Bastin; James P Boardman
Journal:  Front Neurosci       Date:  2016-05-19       Impact factor: 4.677

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