Cited by 222Functional Brain Connectivity StudiesAdvanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and Applications

Functional connectivity MR imaging reveals cortical functional connectivity in the developing brain

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Lin, W., Zhu, Q., Gao, W., Chen, Y., Toh, C.-H., Styner, M., Gerig, G., Smith, J.K. +2 more·2008·American Journal of Neuroradiology

Abstract

BACKGROUND AND PURPOSE: Unlike conventional functional MR imaging where external sensory/cognitive paradigms are needed to specifically activate different regions of the brain, resting functional connectivity MR imaging acquires images in the absence of cognitive demands (a resting condition) and detects brain regions, which are highly temporally correlated. Therefore, resting functional MR imaging is highly suited for the study of brain functional development in pediatric subjects. This study aimed to determine the temporal and spatial patterns of rfc in healthy pediatric subjects between 2 weeks and 2 years of age. MATERIALS AND METHODS: Rfc studies were performed on 85 children: 38 neonates (2-4 weeks of age), 26 one-year-olds, and 21 two-year-olds. All subjects were imaged while asleep; no sedation was used. Six regions of interest were chosen, including the primary motor, sensory, and visual cortices in each hemisphere. Mean signal intensity of each region of interest was used to perform correlation analysis pixel by pixel throughout the entire brain, identifying regions with high temporal correlation. RESULTS: Functional connectivity was observed in all subjects in the sensorimotor and visual areas. The percent brain volume exhibiting rfc and the strength of rfc continued to increase from 2 weeks to 2 years. The growth trajectories of the percent brain volume of rfc appeared to differ between the sensorimotor and visual areas, whereas the z-score was similar. The percent brain volume of rfc in the sensorimotor area was significantly larger than that in the visual area for subjects 2 weeks of age (P = .008) and 1-year-olds (P = .017) but not for the 2-year-olds. CONCLUSIONS: These findings suggest that rfc in the sensorimotor precedes that in the visual area from 2 weeks to 1 year but becomes comparable at 2 years. In contrast, the comparable z-score values between the sensorimotor and visual areas for all age groups suggest a disassociation between percent brain volume and the strength of cortical rfc.

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Authors
Lin, W., Zhu, Q., Gao, W., Chen, Y., Toh, C.-H., Styner, M., Gerig, G., Smith, J. K., Biswal, B., & Gilmore, J. H.
Affiliations
  • University of North Carolina at Chapel Hill (US)
  • Rutgers, The State University of New Jersey (US)
Venue
American Journal of Neuroradiology
Published
2008-09-10
Volume
29
Issue
10
Pages
1883-1889
ISSN
  • 0195-6108 (ISSN-L)
  • 1936-959X
OpenAlex
W2140364075
Cited by
222
References
38
Citations by year
2026: 3 · 2025: 12 · 2024: 11 · 2023: 8 · 2022: 13 · 2021: 18 · 2020: 11 · 2019: 10 · 2018: 25 · 2017: 13 · 2016: 14 · 2015: 16 · 2014: 19 · 2013: 14 · 2012: 6
FWCI
5.00
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • American Journal of Neuroradiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health
  • National Institute of Mental Health (R01MH070890)
  • National Institute of Neurological Disorders and Stroke (R01NS055754)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords
resting-state functional connectivity, cortical functional connectivity, brain development, neonates, infants, sensorimotor cortex, visual cortex, primary motor cortex, primary sensory cortex, brain volume, developmental trajectories
MeSH terms
Aging, Brain Mapping, Child, Preschool, Female, Humans, Image Interpretation, Computer-Assisted, Infant, Infant, Newborn, Magnetic Resonance Imaging, Male, Somatosensory Cortex, Visual Cortex

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