PMID- 24365673
OWN - NLM
STAT- MEDLINE
DCOM- 20150716
LR  - 20210105
IS  - 1095-9572 (Electronic)
IS  - 1053-8119 (Linking)
VI  - 102 Pt 1
DP  - 2014 Nov 15
TI  - The structural and functional connectivity of the posterior cingulate cortex: 
      comparison between deterministic and probabilistic tractography for the 
      investigation of structure-function relationships.
PG  - 118-27
LID - S1053-8119(13)01226-3 [pii]
LID - 10.1016/j.neuroimage.2013.12.022 [doi]
AB  - The default mode network (DMN) is one of the most studied resting-state networks, 
      and is thought to be involved in the maintenance of consciousness within the 
      alert human brain. Although many studies have examined the functional 
      connectivity (FC) of the DMN, few have investigated its underlying structural 
      connectivity (SC), or the relationship between the two. We investigated this 
      question in fifteen healthy subjects, concentrating on connections to the 
      precuneus/posterior cingulate cortex (PCC), commonly considered as the central 
      node of the DMN. We used group independent component analysis (GICA) and 
      seed-based correlation analysis of fMRI data to quantify FC, and streamline and 
      probabilistic tractography to identify structural tracts from diffusion tensor 
      imaging (DTI) data. We first assessed the presence of structural connections 
      between the DMN regions identified with GICA. Of the 15 subjects, when using the 
      probabilistic approach 15 (15) demonstrated connections between the PCC and 
      mesial prefrontal cortex (mPFC), 11 (15) showed connections from the PCC to the 
      right inferior parietal cortex (rIPC) and 8 (15) to the left IPC. Next, we 
      assessed the strength of FC (magnitude of temporal correlation) and SC (mean 
      fractional anisotropy of reconstructed tracts (streamline), number of 
      super-threshold voxels within the mask region (probabilistic)). The lIPC had 
      significantly reduced FC to the PCC compared to the mPFC and rIPC. No difference 
      in SC strength between connections was found using the streamline approach. For 
      the probabilistic approach, mPFC had significantly lower SC than both IPCs. The 
      two measures of SC strength were significantly correlated, but not for all paired 
      connections. Finally, we observed a significant correlation between SC and FC for 
      both tractography approaches when data were pooled across PCC-lIPL, PCC-rIPL and 
      PCC-mPFC connections, and for some individual paired connections. Our results 
      suggest that the streamline approach is advantageous for characterising the 
      connectivity of long white matter tracts (PCC-mPFC), whilst the probabilistic 
      approach was more reliable at identifying PCC-IPC connections. The direct 
      comparison of FC and SC indicated that pairs of nodes with stronger structural 
      connections also had stronger functional connectivity, and that this was 
      maintained with both tractography approaches. Whilst the definition of SC 
      strength remains controversial, our results could be considered to provide some 
      degree of validation for the measures of SC strength that we have used. Direct 
      comparisons of SC and FC are necessary in order to understand the structural 
      basis of functional connectivity, and to characterise and quantify the changes in 
      the brain's functional architecture that occur as a result of normal physiology 
      or pathology.
CI  - Copyright (c) 2014 Elsevier Inc. All rights reserved.
FAU - Khalsa, Sakh
AU  - Khalsa S
AD  - School of Psychology, University of Birmingham, Birmingham, UK; Birmingham 
      University Imaging Centre (BUIC), University of Birmingham, Birmingham, UK; 
      Department of Neuropsychiatry, The Barberry Centre for Mental Health, Birmingham, 
      UK.
FAU - Mayhew, Stephen D
AU  - Mayhew SD
AD  - School of Psychology, University of Birmingham, Birmingham, UK; Birmingham 
      University Imaging Centre (BUIC), University of Birmingham, Birmingham, UK.
FAU - Chechlacz, Magdalena
AU  - Chechlacz M
AD  - Department of Experimental Psychology, Oxford University, Oxford, UK.
FAU - Bagary, Manny
AU  - Bagary M
AD  - Department of Neuropsychiatry, The Barberry Centre for Mental Health, Birmingham, 
      UK.
FAU - Bagshaw, Andrew P
AU  - Bagshaw AP
AD  - School of Psychology, University of Birmingham, Birmingham, UK; Birmingham 
      University Imaging Centre (BUIC), University of Birmingham, Birmingham, UK. 
      Electronic address: a.p.bagshaw@bham.ac.uk.
LA  - eng
PT  - Comparative Study
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PT  - Review
DEP - 20131221
PL  - United States
TA  - Neuroimage
JT  - NeuroImage
JID - 9215515
SB  - IM
MH  - Adult
MH  - *Diffusion Tensor Imaging
MH  - Female
MH  - Gyrus Cinguli/*anatomy & histology/*physiology
MH  - Humans
MH  - *Magnetic Resonance Imaging
MH  - Male
MH  - Models, Statistical
MH  - Nerve Net/*anatomy & histology/*physiology
MH  - Young Adult
OTO - NOTNLM
OT  - DMN
OT  - Diffusion tensor imaging
OT  - Functional connectivity
OT  - Precuneus
OT  - Structural connectivity
OT  - Tractography
OT  - fMRI
EDAT- 2013/12/25 06:00
MHDA- 2015/07/17 06:00
CRDT- 2013/12/25 06:00
PHST- 2013/02/26 00:00 [received]
PHST- 2013/10/23 00:00 [revised]
PHST- 2013/12/11 00:00 [accepted]
PHST- 2013/12/25 06:00 [entrez]
PHST- 2013/12/25 06:00 [pubmed]
PHST- 2015/07/17 06:00 [medline]
AID - S1053-8119(13)01226-3 [pii]
AID - 10.1016/j.neuroimage.2013.12.022 [doi]
PST - ppublish
SO  - Neuroimage. 2014 Nov 15;102 Pt 1:118-27. doi: 10.1016/j.neuroimage.2013.12.022. 
      Epub 2013 Dec 21.