Connectome-scale functional intrinsic connectivity networks in macaques. (19th November 2017)

• Record Type: Journal Article
• Authors: Zhang, Wei; Jiang, Xi; Zhang, Shu; Howell, Brittany R; Zhao, Yu; Zhang, Tuo; Guo, Lei; Sanchez, Mar M.; Hu, Xiaoping; Liu, Tianming
• Is Part Of: Neuroscience. Volume 364(2017)
• Page Start: 1
• Page End: 14
• Publication Date: 2017-11-19
• Subjects: DMN default mode network -- fMRI functional magnetic resonance imaging -- ICNs intrinsic connectivity networks -- rsfMRI resting-state fMRI; brain function -- intrinsic connectivity network -- rhesus monkey -- resting-state fMRI; Neurochemistry -- Periodicals; Neurophysiology -- Periodicals; Neurology -- Periodicals; Neurochimie -- Périodiques; Neurophysiologie -- Périodiques; Neurochemistry; Neurophysiology; Electronic journals; Periodicals; Electronic journals; 612.8
• DOI: 10.1016/j.neuroscience.2017.08.022
• Languages: English
• ISSNs: 0306-4522

Abstract

Highlights: A framework to identify connectome-scale group-wise consistent brain networks in macaques. In total, 70 intrinsic connectivity networks (ICNs) are derived and interpreted. Our work significantly expands currently known macaque ICNs reported in the literature. All of these 70 ICNs are publicly released on our website. 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.