PMID- 22765879
OWN - NLM
STAT- MEDLINE
DCOM- 20130201
LR  - 20211021
IS  - 2158-0022 (Electronic)
IS  - 2158-0014 (Print)
IS  - 2158-0014 (Linking)
VI  - 2
IP  - 4
DP  - 2012
TI  - Functional covariance networks: obtaining resting-state networks from 
      intersubject variability.
PG  - 203-17
AB  - In this study, we investigate a new approach for examining the separation of the 
      brain into resting-state networks (RSNs) on a group level using resting-state 
      parameters (amplitude of low-frequency fluctuation [ALFF], fractional ALFF 
      [fALFF], the Hurst exponent, and signal standard deviation). Spatial independent 
      component analysis is used to reveal covariance patterns of the relevant 
      resting-state parameters (not the time series) across subjects that are shown to 
      be related to known, standard RSNs. As part of the analysis, nonresting state 
      parameters are also investigated, such as mean of the blood oxygen 
      level-dependent time series and gray matter volume from anatomical scans. We 
      hypothesize that meaningful RSNs will primarily be elucidated by analysis of the 
      resting-state functional connectivity (RSFC) parameters and not by non-RSFC 
      parameters. First, this shows the presence of a common influence underlying 
      individual RSFC networks revealed through low-frequency fluctation (LFF) 
      parameter properties. Second, this suggests that the LFFs and RSFC networks have 
      neurophysiological origins. Several of the components determined from 
      resting-state parameters in this manner correlate strongly with known 
      resting-state functional maps, and we term these "functional covariance 
      networks".
FAU - Taylor, Paul A
AU  - Taylor PA
AD  - Department of Radiology, UMDNJ-New Jersey Medical School, Newark, New Jersey 
      07103, USA. neon.taylor@gmail.com
FAU - Gohel, Suril
AU  - Gohel S
FAU - Di, Xin
AU  - Di X
FAU - Walter, Martin
AU  - Walter M
FAU - Biswal, Bharat B
AU  - Biswal BB
LA  - eng
GR  - R01 AG032088/AG/NIA NIH HHS/United States
GR  - R01 EB000215/EB/NIBIB NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, Non-U.S. Gov't
DEP - 20120828
PL  - United States
TA  - Brain Connect
JT  - Brain connectivity
JID - 101550313
RN  - S88TT14065 (Oxygen)
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Blood Flow Velocity/physiology
MH  - Brain/blood supply/*physiology
MH  - Brain Mapping
MH  - Humans
MH  - Magnetic Resonance Imaging
MH  - Nerve Net/*physiology
MH  - Neural Pathways/*physiology
MH  - Oxygen/blood
MH  - Rest/*physiology
MH  - Young Adult
PMC - PMC3621593
EDAT- 2012/07/07 06:00
MHDA- 2013/02/05 06:00
PMCR- 2013/08/01
CRDT- 2012/07/07 06:00
PHST- 2012/07/07 06:00 [entrez]
PHST- 2012/07/07 06:00 [pubmed]
PHST- 2013/02/05 06:00 [medline]
PHST- 2013/08/01 00:00 [pmc-release]
AID - 10.1089/brain.2012.0095 [pii]
AID - 10.1089/brain.2012.0095 [doi]
PST - ppublish
SO  - Brain Connect. 2012;2(4):203-17. doi: 10.1089/brain.2012.0095. Epub 2012 Aug 28.