Literature DB >> 33686079

Standardizing human brain parcellations.

Ross M Lawrence1, Eric W Bridgeford2, Patrick E Myers2, Ganesh C Arvapalli2, Sandhya C Ramachandran2, Derek A Pisner3, Paige F Frank2, Allison D Lemmer2, Aki Nikolaidis4, Joshua T Vogelstein2.   

Abstract

Using brain atlases to localize regions of interest is a requirement for making neuroscientifically valid statistical inferences. These atlases, represented in volumetric or surface coordinate spaces, can describe brain topology from a variety of perspectives. Although many human brain atlases have circulated the field over the past fifty years, limited effort has been devoted to their standardization. Standardization can facilitate consistency and transparency with respect to orientation, resolution, labeling scheme, file storage format, and coordinate space designation. Our group has worked to consolidate an extensive selection of popular human brain atlases into a single, curated, open-source library, where they are stored following a standardized protocol with accompanying metadata, which can serve as the basis for future atlases. The repository containing the atlases, the specification, as well as relevant transformation functions is available in the neuroparc OSF registered repository or https://github.com/neurodata/neuroparc .

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Year:  2021        PMID: 33686079      PMCID: PMC7940391          DOI: 10.1038/s41597-021-00849-3

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   8.501


  47 in total

1.  Automatically parcellating the human cerebral cortex.

Authors:  Bruce Fischl; André van der Kouwe; Christophe Destrieux; Eric Halgren; Florent Ségonne; David H Salat; Evelina Busa; Larry J Seidman; Jill Goldstein; David Kennedy; Verne Caviness; Nikos Makris; Bruce Rosen; Anders M Dale
Journal:  Cereb Cortex       Date:  2004-01       Impact factor: 5.357

2.  Parcellation-dependent small-world brain functional networks: a resting-state fMRI study.

Authors:  Jinhui Wang; Liang Wang; Yufeng Zang; Hong Yang; Hehan Tang; Qiyong Gong; Zhang Chen; Chaozhe Zhu; Yong He
Journal:  Hum Brain Mapp       Date:  2009-05       Impact factor: 5.038

3.  Predicting brain-age from multimodal imaging data captures cognitive impairment.

Authors:  Franziskus Liem; Gaël Varoquaux; Jana Kynast; Frauke Beyer; Shahrzad Kharabian Masouleh; Julia M Huntenburg; Leonie Lampe; Mehdi Rahim; Alexandre Abraham; R Cameron Craddock; Steffi Riedel-Heller; Tobias Luck; Markus Loeffler; Matthias L Schroeter; Anja Veronica Witte; Arno Villringer; Daniel S Margulies
Journal:  Neuroimage       Date:  2016-11-23       Impact factor: 6.556

4.  A parcellation scheme for human left lateral parietal cortex.

Authors:  Steven M Nelson; Alexander L Cohen; Jonathan D Power; Gagan S Wig; Francis M Miezin; Mark E Wheeler; Katerina Velanova; David I Donaldson; Jeffrey S Phillips; Bradley L Schlaggar; Steven E Petersen
Journal:  Neuron       Date:  2010-07-15       Impact factor: 17.173

5.  Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations.

Authors:  Gagan S Wig; Timothy O Laumann; Alexander L Cohen; Jonathan D Power; Steven M Nelson; Matthew F Glasser; Francis M Miezin; Abraham Z Snyder; Bradley L Schlaggar; Steven E Petersen
Journal:  Cereb Cortex       Date:  2013-03-08       Impact factor: 5.357

6.  Three validation metrics for automated probabilistic image segmentation of brain tumours.

Authors:  Kelly H Zou; William M Wells; Ron Kikinis; Simon K Warfield
Journal:  Stat Med       Date:  2004-04-30       Impact factor: 2.373

7.  Lag in maturation of the brain's intrinsic functional architecture in attention-deficit/hyperactivity disorder.

Authors:  Chandra S Sripada; Daniel Kessler; Mike Angstadt
Journal:  Proc Natl Acad Sci U S A       Date:  2014-09-15       Impact factor: 11.205

8.  Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example.

Authors:  Alexandre Abraham; Michael P Milham; Adriana Di Martino; R Cameron Craddock; Dimitris Samaras; Bertrand Thirion; Gael Varoquaux
Journal:  Neuroimage       Date:  2016-11-16       Impact factor: 7.400

9.  Which fMRI clustering gives good brain parcellations?

Authors:  Bertrand Thirion; Gaël Varoquaux; Elvis Dohmatob; Jean-Baptiste Poline
Journal:  Front Neurosci       Date:  2014-07-01       Impact factor: 4.677

10.  Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity.

Authors:  Emily S Finn; Xilin Shen; Dustin Scheinost; Monica D Rosenberg; Jessica Huang; Marvin M Chun; Xenophon Papademetris; R Todd Constable
Journal:  Nat Neurosci       Date:  2015-10-12       Impact factor: 24.884

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  2 in total

1.  Inside information: Systematic within-node functional connectivity changes observed across tasks or groups.

Authors:  Wenjing Luo; R Todd Constable
Journal:  Neuroimage       Date:  2021-12-08       Impact factor: 6.556

2.  A framework For brain atlases: Lessons from seizure dynamics.

Authors:  Andrew Y Revell; Alexander B Silva; T Campbell Arnold; Joel M Stein; Sandhitsu R Das; Russell T Shinohara; Dani S Bassett; Brian Litt; Kathryn A Davis
Journal:  Neuroimage       Date:  2022-03-23       Impact factor: 7.400

  2 in total

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