Functional connectivity of the sensorimotor area in naturally sleeping infants
Abstract
Patterns of cortical functional connectivity in normal infants were examined during natural sleep by observing the time course of very low frequency oscillations. Such oscillations represent fluctuations in blood oxygenation level and cortical blood flow thus allowing computation of neurophysiologic connectivity. Structural and resting-state information were acquired for 11 infants, with a mean age of 12.8 months, using a GE 1.5 T MR scanner. Resting-state data were processed and significant functional connectivity within the sensorimotor area was identified using independent component analysis. Unilateral functional connectivity in the developing sensory-motor cortices was observed. Power spectral analysis showed that slow frequency oscillations dominated the hemodynamic signal at this age, with, on average, a peak frequency for all subjects of 0.02 Hz. Our data suggest that there is more intrahemispheric than interhemispheric connectivity in the sensorimotor area of naturally sleeping infants. This non-invasive imaging technique, developed to allow reliable scanning of normal infants without sedation, enabled computation of neurophysiologic connectivity for the first time in naturally sleeping infants. Such techniques permit elucidation of the role of slow cortical oscillations during early brain development and may reveal critical information regarding the normative development and lateralization of brain networks across time.
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Infant imaging studies are predominantly done during natural sleep or sedation.
“Infant imaging studies are also predominantly done during natural sleep (e.g. (Liu et al., 2008)) or sedation (e.g. (Fransson et al., 2007)).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Liu et al., 2008
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- Authors
- Liu, W.-C., Flax, J. F., Guise, K. G., Sukul, V., & Benasich, A. A.
- Affiliations
- Rutgers New Jersey Medical School (US)
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Liu, Wen-Ching
- Venue
- Brain Research
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 1223
- Pages
- 42-49
- ISSN
- 0006-8993 (ISSN-L)
- OpenAlex
- W2056586830
- Cited by
- 110
- References
- 52
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 8 · 2022: 8 · 2021: 6 · 2020: 7 · 2019: 4 · 2018: 6 · 2017: 3 · 2016: 6 · 2015: 2 · 2014: 7 · 2013: 15 · 2012: 7
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain Research (publishedVersion)
- PubMed (publishedVersion)
- Rutgers University Community Repository (Rutgers University) (submittedVersion)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD029419, R01 HD 29419)
- 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
- functional connectivity, sensorimotor cortex, infant sleep, very low frequency oscillations, resting-state fMRI, hemodynamic signals, hemispheric lateralization, brain development, independent component analysis
- MeSH terms
- Action Potentials, Aging, Biological Clocks, Brain Mapping, Cerebral Arteries, Cerebrovascular Circulation, Evoked Potentials, Female, Humans, Infant, Functional Laterality, Magnetic Resonance Imaging, Male, Motor Cortex, Nerve Net, Neural Pathways, Oxygen Consumption, Sleep, Somatosensory Cortex
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