CONNECTOME-SCALE FUNCTIONAL INTRINSIC CONNECTIVITY NETWORKS IN MACAQUES

• Type of Material: Article
• Authors: Wei Zhang, University of Georgia; Xi Jiang, University of Georgia; Shu Zhang, University of Georgia; Brittany R Howell, Emory University; Yu Zhao, University of Georgia; Tuo Zhang, University of Georgia; Lei Guo, Northwestern Polytechnical University; Maria Sanchez, Emory University; Xiaoping Hu, Emory University; Tianming Liu, University of Georgia
• Language: English
• Date: 2017-11-19
• Publisher: Elsevier: 12 months
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2017 IBRO
• License: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1016/j.neuroscience.2017.08.022
• Title of Journal or Parent Work: Neuroscience
• ISSN: 0306-4522
• Volume: 364
• Start Page: 1
• End Page: 14
• Grant/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).
• Keywords: brain function; DEFAULT MODE; Science & Technology; resting-state fMRI; VISUAL-CORTEX; Neurosciences & Neurology; PARIETAL CORTEX; INTRAPARIETAL SULCUS; SPARSE REPRESENTATION; Neurosciences; Life Sciences & Biomedicine; RHESUS-MONKEY; RESTING-STATE NETWORKS; intrinsic connectivity network; CEREBRAL-CORTEX; HUMAN BRAIN; rhesus monkey; TEMPORAL CORTEX
• Research Categories: Biology, Neuroscience

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.