PMID- 24999315
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20140707
LR  - 20211021
IS  - 1662-4548 (Print)
IS  - 1662-453X (Electronic)
IS  - 1662-453X (Linking)
VI  - 8
DP  - 2014
TI  - The spatial structure of resting state connectivity stability on the scale of 
      minutes.
PG  - 138
LID - 10.3389/fnins.2014.00138 [doi]
LID - 138
AB  - Resting state functional MRI (rsfMRI) connectivity patterns are not temporally 
      stable, but fluctuate in time at scales shorter than most common rest scan 
      durations (5-10 min). Consequently, connectivity patterns for two different 
      portions of the same scan can differ drastically. To better characterize this 
      temporal variability and understand how it is spatially distributed across the 
      brain, we scanned subjects continuously for 60 min, at a temporal resolution of 1 
      s, while they rested inside the scanner. We then computed connectivity matrices 
      between functionally-defined regions of interest for non-overlapping 1 min 
      windows, and classified connections according to their strength, polarity, and 
      variability. We found that the most stable connections correspond primarily to 
      inter-hemispheric connections between left/right homologous ROIs. However, only 
      32% of all within-network connections were classified as most stable. This shows 
      that resting state networks have some long-term stability, but confirms the 
      flexible configuration of these networks, particularly those related to higher 
      order cognitive functions. The most variable connections correspond primarily to 
      inter-hemispheric, across-network connections between non-homologous regions in 
      occipital and frontal cortex. Finally we found a series of connections with 
      negative average correlation, but further analyses revealed that such average 
      negative correlations may be related to the removal of CSF signals during 
      pre-processing. Using the same dataset, we also evaluated how similarity of 
      within-subject whole-brain connectivity matrices changes as a function of window 
      duration (used here as a proxy for scan duration). Our results suggest scanning 
      for a minimum of 10 min to optimize within-subject reproducibility of 
      connectivity patterns across the entire brain, rather than a few predefined 
      networks.
FAU - Gonzalez-Castillo, Javier
AU  - Gonzalez-Castillo J
AD  - Section on Functional Imaging Methods, Laboratory of Brain and Cognition, 
      National Institute of Mental Health, National Institutes of Health Bethesda, MD, 
      USA.
FAU - Handwerker, Daniel A
AU  - Handwerker DA
AD  - Section on Functional Imaging Methods, Laboratory of Brain and Cognition, 
      National Institute of Mental Health, National Institutes of Health Bethesda, MD, 
      USA.
FAU - Robinson, Meghan E
AU  - Robinson ME
AD  - Section on Functional Imaging Methods, Laboratory of Brain and Cognition, 
      National Institute of Mental Health, National Institutes of Health Bethesda, MD, 
      USA ; Translational Research Center for TBI and Stress Disorders (TRACTS), VA 
      Boston Healthcare System Boston, MA, USA.
FAU - Hoy, Colin Weir
AU  - Hoy CW
AD  - Section on Functional Imaging Methods, Laboratory of Brain and Cognition, 
      National Institute of Mental Health, National Institutes of Health Bethesda, MD, 
      USA.
FAU - Buchanan, Laura C
AU  - Buchanan LC
AD  - Section on Functional Imaging Methods, Laboratory of Brain and Cognition, 
      National Institute of Mental Health, National Institutes of Health Bethesda, MD, 
      USA.
FAU - Saad, Ziad S
AU  - Saad ZS
AD  - Scientific and Statistical Computing Core, National Institute of Mental Health, 
      National Institutes of Health Bethesda, MD, USA.
FAU - Bandettini, Peter A
AU  - Bandettini PA
AD  - Section on Functional Imaging Methods, Laboratory of Brain and Cognition, 
      National Institute of Mental Health, National Institutes of Health Bethesda, MD, 
      USA.
LA  - eng
PT  - Journal Article
DEP - 20140611
PL  - Switzerland
TA  - Front Neurosci
JT  - Frontiers in neuroscience
JID - 101478481
PMC - PMC4052097
OTO - NOTNLM
OT  - connectivity dynamics
OT  - fMRI
OT  - rest
OT  - sliding window analysis
OT  - stability
EDAT- 2014/07/08 06:00
MHDA- 2014/07/08 06:01
PMCR- 2014/01/01
CRDT- 2014/07/08 06:00
PHST- 2014/02/28 00:00 [received]
PHST- 2014/05/18 00:00 [accepted]
PHST- 2014/07/08 06:00 [entrez]
PHST- 2014/07/08 06:00 [pubmed]
PHST- 2014/07/08 06:01 [medline]
PHST- 2014/01/01 00:00 [pmc-release]
AID - 10.3389/fnins.2014.00138 [doi]
PST - epublish
SO  - Front Neurosci. 2014 Jun 11;8:138. doi: 10.3389/fnins.2014.00138. eCollection 
      2014.