PMID- 24846502
OWN - NLM
STAT- MEDLINE
DCOM- 20150408
LR  - 20140924
IS  - 1558-2531 (Electronic)
IS  - 0018-9294 (Linking)
VI  - 61
IP  - 10
DP  - 2014 Oct
TI  - Generation of the probabilistic template of default mode network derived from 
      resting-state fMRI.
PG  - 2550-5
LID - 10.1109/TBME.2014.2323078 [doi]
AB  - Default-mode network (DMN) has become a prominent network among all large-scale 
      brain networks which can be derived from the resting-state fMRI (rs-fMRI) data. 
      Statistical template labeling the common location of hubs in DMN is favorable in 
      the identification of DMN from tens of components resulted from the independent 
      component analysis (ICA). This paper proposed a novel iterative framework to 
      generate a probabilistic DMN template from a coherent group of 40 healthy 
      subjects. An initial template was visually selected from the independent 
      components derived from group ICA analysis of the concatenated rs-fMRI data of 
      all subjects. An effective similarity measure was designed to choose the best-fit 
      component from all independent components of each subject computed given 
      different component numbers. The selected DMN components for all subjects were 
      averaged to generate an updated DMN template and then used to select the DMN for 
      each subject in the next iteration. This process iterated until the convergence 
      was reached, i.e., the overlapping region between the DMN areas of the current 
      template and the one generated from the previous stage is more than 95%. By 
      validating the constructed DMN template on the rs-fMRI data from another 40 
      subjects, the generated probabilistic DMN template and the proposed similarity 
      matching mechanism were demonstrated to be effective in automatic selection of 
      independent components from the ICA analysis results.
FAU - Wang, Defeng
AU  - Wang D
FAU - Kong, Youyong
AU  - Kong Y
FAU - Chu, Winnie C W
AU  - Chu WC
FAU - Tam, Cindy W C
AU  - Tam CW
FAU - Lam, Linda C W
AU  - Lam LC
FAU - Wang, Yilong
AU  - Wang Y
FAU - Northoff, Georg
AU  - Northoff G
FAU - Mok, Vincent C T
AU  - Mok VC
FAU - Wang, Yongjun
AU  - Wang Y
FAU - Shi, Lin
AU  - Shi L
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20140516
PL  - United States
TA  - IEEE Trans Biomed Eng
JT  - IEEE transactions on bio-medical engineering
JID - 0012737
SB  - IM
MH  - Aged
MH  - Aged, 80 and over
MH  - Algorithms
MH  - Brain/anatomy & histology/physiology
MH  - Brain Mapping/*methods
MH  - Female
MH  - Humans
MH  - Image Processing, Computer-Assisted/*methods
MH  - Magnetic Resonance Imaging/*methods
MH  - Male
MH  - Middle Aged
MH  - *Models, Neurological
MH  - *Models, Statistical
EDAT- 2014/05/23 06:00
MHDA- 2015/04/09 06:00
CRDT- 2014/05/22 06:00
PHST- 2014/05/22 06:00 [entrez]
PHST- 2014/05/23 06:00 [pubmed]
PHST- 2015/04/09 06:00 [medline]
AID - 10.1109/TBME.2014.2323078 [doi]
PST - ppublish
SO  - IEEE Trans Biomed Eng. 2014 Oct;61(10):2550-5. doi: 10.1109/TBME.2014.2323078. 
      Epub 2014 May 16.