The DOI matches its Crossref record; 68 of the 69 references it cites were found in a registry or an index.
Functional connectivity in the developing brain: A longitudinal study from 4 to 9months of age
Open accessAbstract
We characterize the development of intrinsic connectivity networks (ICNs) from 4 to 9months of age with resting state magnetic resonance imaging performed on sleeping infants without sedative medication. Data is analyzed with independent component analysis (ICA). Using both low (30 components) and high (100 components) ICA model order decompositions, we find that the functional network connectivity (FNC) map is largely similar at both 4 and 9months. However at 9months the connectivity strength decreases within local networks and increases between more distant networks. The connectivity within the default-mode network, which contains both local and more distant nodes, also increases in strength with age. The low frequency power spectrum increases with age only in the posterior cingulate cortex and posterior default mode network. These findings are consistent with a general developmental pattern of increasing longer distance functional connectivity over the first year of life and raise questions regarding the developmental importance of the posterior cingulate at this age.
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“Over the course of the first two years of life, these regions undergo a precise evolution to gradually bring the network ‘online’ (Damaraju et al., 2014; Gao et al., 2013; Gao et al., 2009).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Damaraju et al., 2014
In the citing paper
“In neonates and very young infants, these individual compartments demonstrate locally correlated activity, but fail to synchronize into a coherent network (Damaraju et al., 2014; Fransson et al., 2007; Gao et al., 2009; Smyser et al., 2010; Wylie et al., 2014).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Damaraju et al., 2014
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Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · cited 2×
“05 (Benjamini and Hochberg, 1995) are enclosed with black squares.”
BackgroundInfluentialAFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · cited 5×
“The despiking process involved detecting outliers as implemented in AFNI's 3dDespike and then replacing detected outliers with values from a third order spline fit to the clean portions of neighboring data.”
MethodInfluentialFunctional connectivity in the motor cortex of resting human brain using echo‐planar mri
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An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986 · cited 1×
“Finally this group reduced matrix was decomposed into 30 or 100 spatially independent components using the Infomax ICA algorithm (Bell and Sejnowski, 1995) for low and high model order decompositions respectively.”
MethodPower, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · cited 2×
“5 in Power et al., 2012).”
BackgroundCorrespondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150 · cited 6×
“5, some ICNs appeared to have merged to form a single network as seen in an adult ICN decomposition (here we compare to Smith et al., 2009).”
BackgroundResultInfluentialConsistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · cited 1×
“Similar model orders have been used by a number of labs (Allen et al., 2012; Damoiseaux et al., 2006; Filippini et al., 2009).”
MethodPiaget, J., Inhelder, B., & Weaver, H. (1969) · Medical Entomology and Zoology · Cited by 3,845
A method for making group inferences from functional MRI data using independent component analysis
Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001) · Human Brain Mapping · doi:10.1002/hbm.1048 · Cited by 2,994 · cited 1×
“Spatial GICA linearly decomposes data into temporally-coherent maximally independent spatial source signals (Calhoun et al., 2001).”
BackgroundSelf-citationTracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992 · cited 6×
“Recent studies have demonstrated non-stationarity in fMRI time courses (Chang and Glover, 2010; Jones et al., 2012; Sakoglu et al., 2010); therefore future work should consider probing the changes in the dynamics of ICNs (Allen et al., 2012; Cribben et al., 2012).”
BackgroundMethodResultInfluentialSelf-citation
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Items 101–103 of 103
Bulgarelli, C., Blasi, A., McCann, S., Milosavljevic, B., Ghillia, G., Mbye, E., Touray, E., Fadera, T., Acolatse, L., Moore, S. E., et al. (2026) · eLife · doi:10.7554/elife.94194.3
Nkurumeh, K. K., Farrand, J., Shou, G., Yuan, H., Kolobe, T. H. A., Fagg, A. H., & Ding, L. (2025) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner61569.2025.11589105
“In the postnatal period, between 4 and 9 months of age, fMRI results have shown that whole-brain FCs decrease, while the within-network FCs in the posterior default mode network (DMN) increases [17].”
Characteristics of Patients With Epileptic Spasm Onset Over 2 Years of Age
Takeuchi, H., Kikuchi, K., Horita, H., Hirata, Y., Matsuura, R., Koichihara, R., & Hamano, S.-I. (2026) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2026.09.016
Metadata
- Authors
- Damaraju, E., Caprihan, A., Lowe, J. R., Allen, E. A., Calhoun, V. D., & Phillips, J. P.
- Affiliations
- Mind Research Network (US)
- University of New Mexico (US)
- Corresponding author
- Damaraju, E.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 84
- Pages
- 169-180
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3881974
- OpenAlex
- W1967832316
- Cited by
- 103
- References
- 69
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 10 · 2023: 4 · 2022: 5 · 2021: 11 · 2020: 14 · 2019: 5 · 2018: 11 · 2017: 4 · 2016: 9 · 2015: 8 · 2014: 4
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Delle Foundation
- NIH (R01-EB000840)
- 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, brain development, infants, resting-state networks, resting-state fMRI, default mode network, posterior cingulate cortex, longitudinal development
- MeSH terms
- Aging, Brain, Child, Child, Preschool, Female, Humans, Image Interpretation, Computer-Assisted, Longitudinal Studies, Male, Nerve Net, Neural Pathways, Neuronal Plasticity, Sensitivity and Specificity, Sleep, Reproducibility of Results, Connectome
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