Establishing the resting state default mode network derived from functional magnetic resonance imaging tasks as an endophenotype: A twins study

The resting state default mode network (DMN) has been shown to characterize a number of neurological and psychiatric disorders. Evidence suggests an underlying genetic basis for this network and hence could serve as potential endophenotype for these disorders. Heritability is a defining criterion fo...

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Bibliographic Details
Published in:Human brain mapping 2014-08, Vol.35 (8), p.3893-3902
Main Authors: Korgaonkar, Mayuresh S., Ram, Kaushik, Williams, Leanne M., Gatt, Justine M., Grieve, Stuart M.
Format: Article
Language:English
Subjects:
Adolescent
Adult
Aged
Biological and medical sciences
Brain
Brain Mapping
Cohort Studies
connectivity
default mode network
Electrodiagnosis. Electric activity recording
Endophenotypes
genetic control
Humans
Investigative techniques, diagnostic techniques (general aspects)
Magnetic Resonance Imaging
Medical sciences
Middle Aged
Models, Genetic
Nervous system
Neural Pathways - physiology
Neuropsychological Tests
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Rest - physiology
resting sate functional MRI
Signal Processing, Computer-Assisted
task derived
twins
Twins, Dizygotic
Twins, Monozygotic
Young Adult
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Summary:The resting state default mode network (DMN) has been shown to characterize a number of neurological and psychiatric disorders. Evidence suggests an underlying genetic basis for this network and hence could serve as potential endophenotype for these disorders. Heritability is a defining criterion for endophenotypes. The DMN is measured either using a resting‐state functional magnetic resonance imaging (fMRI) scan or by extracting resting state activity from task‐based fMRI. The current study is the first to evaluate heritability of this task‐derived resting activity. 250 healthy adult twins (79 monozygotic and 46 dizygotic same sex twin pairs) completed five cognitive and emotion processing fMRI tasks. Resting state DMN functional connectivity was derived from these five fMRI tasks. We validated this approach by comparing connectivity estimates from task‐derived resting activity for all five fMRI tasks, with those obtained using a dedicated task‐free resting state scan in an independent cohort of 27 healthy individuals. Structural equation modeling using the classic twin design was used to estimate the genetic and environmental contributions to variance for the resting‐state DMN functional connectivity. About 9–41% of the variance in functional connectivity between the DMN nodes was attributed to genetic contribution with the greatest heritability found for functional connectivity between the posterior cingulate and right inferior parietal nodes (P 
ISSN:1065-9471
1097-0193
DOI:10.1002/hbm.22446