Joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks in macaque brain.
Discovery and representation of common structural and functional cortical architectures has been a significant yet challenging problem for years. Due to the remarkable variability of structural and functional cortical architectures in human brain, it is challenging to jointly represent a common cort...
| Publicado en: | Brain Imaging & Behavior Vol. 13; no. 5; pp. 1427 - 1444 |
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| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Oct2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=138504740&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 138504740 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19317557 3GSC jtl: Brain Imaging & Behavior issn: 19317557 maglogo: N pubinfo: dt: Oct2019 vid: 13 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 138504740 138504740 144169961 NLM30178424 10.1007/s11682-018-9944-7 NLM30178424 138504740 ppf: 1427 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks in macaque brain. aug: au: Zhang, Shu Jiang, Xi Zhang, Wei Zhang, Tuo Chen, Hanbo Zhao, Yu Lv, Jinglei Guo, Lei Howell, Brittany R. Sanchez, Mar M. Hu, Xiaoping Liu, Tianming affil: Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Boyd GSRC 420, 30602, Athens, GA, USA sug: subj: Brain Physiology Primates Brain Mapping Methods Brain Animals Magnetic Resonance Imaging Clinical Assessment Tools ab: Discovery and representation of common structural and functional cortical architectures has been a significant yet challenging problem for years. Due to the remarkable variability of structural and functional cortical architectures in human brain, it is challenging to jointly represent a common cortical architecture which can comprehensively encode both structure and function characteristics. In order to better understand this challenge and considering that macaque monkey brain has much less variability in structure and function compared with human brain, in this paper, we propose a novel computational framework to apply our DICCCOL (Dense Individualized and Common Connectivity-based Cortical Landmarks) and HAFNI (Holistic Atlases of Functional Networks and Interactions) frameworks on macaque brains, in order to jointly represent structural and functional connectome-scale profiles for identification of a set of consistent and common cortical landmarks across different macaque brains based on multimodal DTI and resting state fMRI (rsfMRI) data. Experimental results demonstrate that 100 consistent and common cortical landmarks are successfully identified via the proposed framework, each of which has reasonably accurate anatomical, structural fiber connection pattern, and functional correspondences across different macaque brains. This set of 100 landmarks offer novel insights into the structural and functional cortical architectures in macaque brains. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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