2010
DOI: 10.1523/jneurosci.2612-10.2010
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Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy

Abstract: Functional homotopy, the high degree of synchrony in spontaneous activity between geometrically corresponding interhemispheric (i.e., homotopic) regions, is a fundamental characteristic of the intrinsic functional architecture of the brain. However, despite its prominence, the lifespan development of the homotopic resting-state functional connectivity (RSFC) of the human brain is rarely directly examined in functional magnetic resonance imaging studies. Here, we systematically investigated age-related changes … Show more

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Cited by 625 publications
(712 citation statements)
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References 89 publications
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“…Methods for symmetric template creation and VMHC computation were consistent with Zuo et al. (2010). All 31 normalized GM images were averaged to create a mean image, which was then averaged with its left–right mirror versions to generate a group‐specific, symmetrical, study‐specific GM template.…”
Section: Methodsmentioning
confidence: 99%
“…Methods for symmetric template creation and VMHC computation were consistent with Zuo et al. (2010). All 31 normalized GM images were averaged to create a mean image, which was then averaged with its left–right mirror versions to generate a group‐specific, symmetrical, study‐specific GM template.…”
Section: Methodsmentioning
confidence: 99%
“…Two-sample t-tests were performed on each of four summary metrics of head motion (i.e., absolute displacement, absolute rotation, relative displacement, and relative rotation) between patients and controls. Metrics exhibiting significant patientcontrol differences were included as covariates of no interest to adjust for head motion [61,62] . To determine whether the head motion was associated with the behavior measures, we conducted movement metrics-behavior correlational analyses.…”
Section: Head Motion Assessmentmentioning
confidence: 99%
“…25 The residual images were further coregistered to a symmetric template according to previous studies. 5,8 The symmetric template was created as follows: First, all participants' normalized gray matter images were averaged to create a mean normalized gray matter template. This template was then averaged with its left-right mirrored version to generate a groupspecific symmetric template.…”
Section: Data Preprocessingmentioning
confidence: 99%
“…This template was then averaged with its left-right mirrored version to generate a groupspecific symmetric template. 5 Finally, we spatially smoothed the images with an 8-mm full width at half maximum isotropic Gaussian kernel.…”
Section: Data Preprocessingmentioning
confidence: 99%
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