Connectome-scale functional intrinsic connectivity networks in macaques

Wei Zhang; Xi Jiang; Shu Zhang; Brittany R. Howell; Yu Zhao; Tuo Zhang; Lei Guo; Mar M. Sanchez; Xiaoping Hu; Tianming Liu

doi:10.1016/j.neuroscience.2017.08.022

Connectome-scale functional intrinsic connectivity networks in macaques

Wei Zhang, Xi Jiang, Shu Zhang, Brittany R. Howell, Yu Zhao, Tuo Zhang, Lei Guo, Mar M. Sanchez, Xiaoping Hu, Tianming Liu

Institute of Child Development

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

13 Scopus citations

Abstract

There have been extensive studies of intrinsic connectivity networks (ICNs) in the human brains using resting-state functional magnetic resonance imaging (fMRI) in the literature. However, the functional organization of ICNs in macaque brains has been less explored so far, despite growing interests in the field. In this work, we propose a computational framework to identify connectome-scale group-wise consistent ICNs in macaques via sparse representation of whole-brain resting-state fMRI data. Experimental results demonstrate that 70 group-wise consistent ICNs are successfully identified in macaque brains via the proposed framework. These 70 ICNs are interpreted based on two publicly available parcellation maps of macaque brains and our work significantly expand currently known macaque ICNs already reported in the literature. In general, this set of connectome-scale group-wise consistent ICNs can potentially benefit a variety of studies in the neuroscience and brain-mapping fields, and they provide a foundation to better understand brain evolution in the future.

Original language	English (US)
Pages (from-to)	1-14
Number of pages	14
Journal	Neuroscience
Volume	364
DOIs	https://doi.org/10.1016/j.neuroscience.2017.08.022
State	Published - Nov 19 2017

Bibliographical note

Funding Information:
This work was partially supported by National Institutes of Health (DA033393, AG042599, MH078105, MH078105-04S1, HD055255), National Science Foundation (IIS-1149260, CBET-1302089, BCS-1439051, and DBI-1564736), and Office of Research Infrastructure Programs/OD grant OD11132 (YNPRC Base grant, formerly RR000165). We want to thank Anne Glenn, Christine Marsteller, Dora Guzman, and the staff at the Yerkes National Primate Research Center (YNPRC) Field Station and Imaging Center for the excellent technical support and animal care provided during these studies. The YNPRC is fully accredited by the Association for the Assessment and Accreditation of Laboratory Animal Care AAALAC), International.

Publisher Copyright:
© 2017 IBRO

Keywords

brain function
intrinsic connectivity network
resting-state fMRI
rhesus monkey

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10.1016/j.neuroscience.2017.08.022

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653451

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abstract = "There have been extensive studies of intrinsic connectivity networks (ICNs) in the human brains using resting-state functional magnetic resonance imaging (fMRI) in the literature. However, the functional organization of ICNs in macaque brains has been less explored so far, despite growing interests in the field. In this work, we propose a computational framework to identify connectome-scale group-wise consistent ICNs in macaques via sparse representation of whole-brain resting-state fMRI data. Experimental results demonstrate that 70 group-wise consistent ICNs are successfully identified in macaque brains via the proposed framework. These 70 ICNs are interpreted based on two publicly available parcellation maps of macaque brains and our work significantly expand currently known macaque ICNs already reported in the literature. In general, this set of connectome-scale group-wise consistent ICNs can potentially benefit a variety of studies in the neuroscience and brain-mapping fields, and they provide a foundation to better understand brain evolution in the future.",

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author = "Wei Zhang and Xi Jiang and Shu Zhang and Howell, {Brittany R.} and Yu Zhao and Tuo Zhang and Lei Guo and Sanchez, {Mar M.} and Xiaoping Hu and Tianming Liu",

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AU - Hu, Xiaoping

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Connectome-scale functional intrinsic connectivity networks in macaques

Abstract

Bibliographical note

Keywords

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