@article{69b04b43d80943fa9ca95af75ee3e6e9,
title = "Double dissociation of structure-function relationships in memory and fluid intelligence observed with magnetic resonance elastography",
abstract = "Brain tissue mechanical properties, measured in vivo with magnetic resonance elastography (MRE), have proven to be sensitive metrics of neural tissue integrity. Recently, our group has reported on the positive relationship between viscoelasticity of the hippocampus and performance on a relational memory task in healthy young adults, which highlighted the potential of sensitive MRE measures for studying brain health and its relation to cognitive function; however, structure-function relationships outside of the hippocampus have not yet been explored. In this study, we examined the relationships between viscoelasticity of both the hippocampus and the orbitofrontal cortex and performance on behavioral assessments of relational memory and fluid intelligence. In a sample of healthy, young adults (N = 53), there was a significant, positive relationship between orbitofrontal cortex viscoelasticity and fluid intelligence performance (r = 0.42; p =.002). This finding is consistent with the previously reported relationship between hippocampal viscoelasticity and relational memory performance (r = 0.41; p =.002). Further, a significant double dissociation between the orbitofrontal-fluid intelligence relationship and the hippocampal-relational memory relationship was observed. These data support the specificity of regional brain MRE measures in support of separable cognitive functions. This report of a structure-function relationship observed with MRE beyond the hippocampus suggests a future role for MRE as a sensitive neuroimaging technique for brain mapping.",
keywords = "Fluid intelligence, Hippocampus, Magnetic resonance elastography, Orbitofrontal cortex, Relational memory",
author = "Johnson, {Curtis L.} and Hillary Schwarb and Horecka, {Kevin M.} and McGarry, {Matthew D.J.} and Hillman, {Charles H.} and Kramer, {Arthur F.} and Cohen, {Neal J.} and Barbey, {Aron K.}",
note = "Funding Information: The research is based upon work supported by the Office of the Director of National Intelligence (ODNI) , Intelligence Advanced Research Projects Activity (IARPA) , via Contract 2014-13121700004 to the University of Illinois at Urbana-Champaign . The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the ODNI, IARPA, or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. This research is additionally part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993 ) and the state of Illinois . Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications . MRE data acquisition and analysis was further supported by NIH/NIBIB grants R01-EB018320 and R01-001981 . We would also like to thank Patricia Jones (project manager), Courtney Allen (project coordinator), Ginger Reeser (project coordinator), and the entire INSIGHT staff for their commitment and dedication to the success of this work. This work was carried out in part at the Biomedical Imaging Center of the Beckman Institute for Advanced Science and Technology at the University of Illinois. Publisher Copyright: {\textcopyright} 2018 Elsevier Inc.",
year = "2018",
month = may,
day = "1",
doi = "10.1016/j.neuroimage.2018.01.007",
language = "English (US)",
volume = "171",
pages = "99--106",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",
}