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  Functional parcellation using time courses of instantaneous connectivity

van Oort, E. S., Mennes, M., Navarro Schröder, T., Kumar, V. J., Zaragoza Jimenez, N. I., Grodd, W., et al. (2018). Functional parcellation using time courses of instantaneous connectivity. NeuroImage, 170, 31-40. doi:10.1016/j.neuroimage.2017.07.027.

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 Creators:
van Oort, Erik S.B.1, Author
Mennes, Maarten1, Author
Navarro Schröder, Tobias 1, Author
Kumar, Vinod J.1, Author
Zaragoza Jimenez, Nestor Israel1, 2, Author           
Grodd, Wolfgang1, Author
Doeller, Christian F.1, Author           
Beckmann, Christian F.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Parcellation; Resting state; FMRI; Motor cortex; Thalamus; Subcortex; Entorhinal cortex
 Abstract: Functional neuroimaging studies have led to understanding the brain as a collection of spatially segregated functional networks. It is thought that each of these networks is in turn composed of a set of distinct sub-regions that together support each network's function. Considering the sub-regions to be an essential part of the brain's functional architecture, several strategies have been put forward that aim at identifying the functional sub-units of the brain by means of functional parcellations. Current parcellation strategies typically employ a bottom-up strategy, creating a parcellation by clustering smaller units. We propose a novel top-down parcellation strategy, using time courses of instantaneous connectivity to subdivide an initial region of interest into sub-regions. We use split-half reproducibility to choose the optimal number of sub-regions.

We apply our Instantaneous Connectivity Parcellation (ICP) strategy on high-quality resting-state FMRI data, and demonstrate the ability to generate parcellations for thalamus, entorhinal cortex, motor cortex, and subcortex including brainstem and striatum. We evaluate the subdivisions against available cytoarchitecture maps to show that our parcellation strategy recovers biologically valid subdivisions that adhere to known cytoarchitectural features.

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Language(s): eng - English
 Dates: 2017-07-122016-11-122017-07-132017-07-142018-04-15
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2017.07.027
PMID: 28716715
Other: Epub 2017
 Degree: -

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Project name : -
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Funding organization : NIH Blueprint for Neuroscience Research
Project name : -
Grant ID : -
Funding program : -
Funding organization : McDonnell Center for Systems Neuroscience at Washington University
Project name : -
Grant ID : 098369/Z/12/Z
Funding program : Wellcome Trust UK Strategic Award
Funding organization : Wellcome Trust
Project name : -
Grant ID : 864-12-003
Funding program : Vidi-Grant
Funding organization : Netherlands Organisation for Scientific Research (NWO)
Project name : Multi-Modal Functional Fingerprint of the Human Brain. Application in ADHD / BRAIN FINGERPRINT
Grant ID : 327340
Funding program : Funding Programme 7
Funding organization : European Commission (EC)

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Title: NeuroImage
Source Genre: Journal
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Publ. Info: Orlando, FL : Academic Press
Pages: - Volume / Issue: 170 Sequence Number: - Start / End Page: 31 - 40 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166