Agreement between functional connectivity and cortical thickness-drivencorrelation maps of the medial frontal cortex

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/474373.do
DOI
10.1371/journal.pone.0171803
Title
Agreement between functional connectivity and cortical thickness-drivencorrelation maps of the medial frontal cortex
Description
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIP) (2016R1A2B3016609).;This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIP) (2016R1A2B3016609).Data were provided [in part] by the Human Connectome Project, WU-MinnConsortium (Principal Investigators: David Van Essen and Kamil Ugurbil;1U54MH091657) funded by the 16 NIH Institutes and Centers that supportthe NIH Blueprint for Neuroscience Research and by the McDonnell Centerfor Systems Neuroscience at Washington University.
abstract
Parcellation of the human cortex has important implications in neuroscience. Parcellation is often a crucial requirement before meaningful regional analysis can occur. The human cortex can be parcellated into distinct regions based on structural features, such as gyri and sulci. Brain network patterns in a given region with respect to its neighbors, known as connectional fingerprints, can be used to parcellate the cortex. Distinct imaging modalities might provide complementary information for brain parcellation. Here, we established functional connectivity with time series data from functional MRI (fMRI) combined with a correlation map of cortical thickness obtained from T1-weighted MRI. We aimed to extend the previous study, which parcellated the medial frontal cortex (MFC) using functional connectivity, and to test the value of additional information regarding cortical thickness. Two types of network information were used to parcellate the MFC into two sub-regions with spectral and Ward's clustering approaches. The MFC region was defined using manual delineation based on in-house data (n= 12). Parcellation was applied to independent large-scale data obtained from the Human Connectome Project (HCP, n = 248). Agreement between parcellation using fMRI-and thickness-driven connectivity yielded dice coefficient overlaps of 0.74 (Ward's clustering) and 0.54 (spectral clustering). We also explored whole brain connectivity using the MFC sub-regions as seed regions based on these two types of information. The results of whole brain connectivity analyses were also consistent for both types of information. We observed that an inter-regional correlation map derived from cortical thickness strongly reflected the underlying functional connectivity of MFC region.
provenance
Made available in Cube on 2018-09-28T10:44:20Z (GMT). No. of bitstreams: 0
language
English
author
Park, Hyunjin
Park, Yeong-Hun
Cha, Jungho
Seo, Sang Won
Na, Duk L.
Lee, Jong-Min
accessioned
2018-09-28T10:44:20Z
available
2018-09-28T10:44:20Z
issued
2017
citation
PLOS ONE(12): 3
issn
1932-6203
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/474373.do
Funder
과학기술정보통신부
Funding Program
기초과학연구원연구운영비지원
Project ID
1711061430
Jurisdiction
Rep.of Korea
Project Name
Integrated Research of Basic Neuroscience and Biophysics
rights
openAccess
type
article


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