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  4. Disentangling resting-state BOLD variability and PCC functional connectivity in 22q11.2 deletion syndrome
 
research article

Disentangling resting-state BOLD variability and PCC functional connectivity in 22q11.2 deletion syndrome

Zoller, Daniela  
•
Schaer, Marie
•
Scariati, Elisa
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2017
Neuroimage

Although often ignored in fMRI studies, moment-to-moment variability of blood oxygenation level dependent (BOLD) signals reveals important information about brain function. Indeed, higher brain signal variability has been associated with better cognitive performance in young adults compared to children and elderly adults. Functional connectivity, a very, common approach in resting-state fMRI analysis, is scaled for variance. Thus, alterations might be confounded or driven by BOLD signal variance alterations. Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a neurodevelopmental disorder that is associated with a vast cognitive and clinical phenotype. To date, several resting-state fMRI studies reported altered functional connectivity in 22q11.2DS, however BOLD signal variance has not yet been analyzed. Here, we employed PLS correlation analysis to reveal multivariate patterns of diagnosis-related alterations and age-relationship throughout the cortex of 50 patients between 9 and 25 years old and 50 healthy controls in the same age range. To address how functional connectivity in the default mode network is influenced by BOLD signal fluctuations, we conducted the same analysis on seed-to-voxel connectivity of the posterior cingulate cortex (PCC) and compared resulting brain patterns. BOLD signal variance was lower mainly in regions of the default mode network and in the dorsolateral prefrontal cortex, but higher in large parts of the temporal lobes. In those regions, BOLD signal variance was correlated with age in healthy controls, but not in patients, suggesting deviant developmental trajectories from child- to adulthood. Positive connectivity of the PCC within the default mode network as well as negative connectivity towards the frontoparietal network were weaker in patients with 22q11.2DS. We furthermore showed that lower functional connectivity of the PCC was not driven by higher BOLD signal variability. Our results confirm the strong implication of BOLD variance in aging and give an initial insight in its relationship with functional connectivity in the DMN.

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Type
research article
DOI
10.1016/j.neuroimage.2017.01.064
Web of Science ID

WOS:000399438500008

Author(s)
Zoller, Daniela  
Schaer, Marie
Scariati, Elisa
Padula, Maria Carmela
Eliez, Stephan
Van De Ville, Dimitri  
Date Issued

2017

Publisher

Elsevier

Published in
Neuroimage
Volume

149

Start page

85

End page

97

Subjects

Resting-state fMRI

•

BOLD signal variability

•

Functional connectivity

•

Default mode network

•

22q11.2 deletion syndrome

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
MIPLAB  
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/138013
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