Brain annotation toolbox: exploring the functional and genetic associations of neuroimaging results.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
01 10 2019
Historique:
received: 30 01 2018
revised: 25 01 2019
accepted: 20 02 2019
pubmed: 12 3 2019
medline: 10 6 2020
entrez: 12 3 2019
Statut: ppublish

Résumé

Advances in neuroimaging and sequencing techniques provide an unprecedented opportunity to map the function of brain regions and identify the roots of psychiatric diseases. However, the results from most neuroimaging studies, i.e. activated clusters/regions or functional connectivities between brain regions, frequently cannot be conveniently and systematically interpreted, rendering the biological meaning unclear. We describe a brain annotation toolbox that generates functional and genetic annotations for neuroimaging results. The voxel-level functional description from the Neurosynth database and gene expression profile from the Allen Human Brain Atlas are used to generate functional/genetic information for region-level neuroimaging results. The validity of the approach is demonstrated by showing that the functional and genetic annotations for specific brain regions are consistent with each other; and further the region by region functional similarity network and genetic similarity network are highly correlated for major brain atlases. One application of brain annotation toolbox is to help provide functional/genetic annotations for newly discovered regions with unknown functions, e.g. the 97 new regions identified in the Human Connectome Project. Importantly, this toolbox can help understand differences between psychiatric patients and controls, and this is demonstrated using schizophrenia and autism data, for which the functional and genetic annotations for the neuroimaging changes in patients are consistent with each other and help interpret the results. BAT is implemented as a free and open-source MATLAB toolbox and is publicly available at http://123.56.224.61:1313/post/bat. Supplementary data are available at Bioinformatics online.

Identifiants

pubmed: 30854545
pii: 5373120
doi: 10.1093/bioinformatics/btz128
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3771-3778

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Zhaowen Liu (Z)

Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.

Edmund T Rolls (ET)

Department of Computer Science, University of Warwick, Coventry, UK.
Oxford Centre for Computational Neuroscience, Oxford, UK.

Zhi Liu (Z)

The School of Information Science and Engineering, Shandong University, Jinan, China.

Kai Zhang (K)

Department of Computer and Information Sciences, Temple University, Philadelphia, PA, USA.

Ming Yang (M)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.

Jingnan Du (J)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.

Weikang Gong (W)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.

Wei Cheng (W)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.

Fei Dai (F)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.

He Wang (H)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.

Kamil Ugurbil (K)

Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA.

Jie Zhang (J)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.
Ministry of Education, Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Shanghai, China.

Jianfeng Feng (J)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, Shanghai, China.
Department of Computer Science, University of Warwick, Coventry, UK.
Ministry of Education, Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence (Fudan University), Shanghai, China.
Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, China.
Shanghai Center for Mathematical Sciences, Shanghai, China.

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