The DOI matches its Crossref record; 191 of the 191 references it cites were found in a registry or an index.
Development of Anterior Cingulate Functional Connectivity from Late Childhood to Early Adulthood
Abstract
Human cerebral development is remarkably protracted. Although microstructural processes of neuronal maturation remain accessible only to morphometric post-mortem studies, neuroimaging tools permit the examination of macrostructural aspects of brain development. The analysis of resting-state functional connectivity (FC) offers novel possibilities for the investigation of cerebral development. Using seed-based FC methods, we examined the development of 5 functionally distinct cingulate-based intrinsic connectivity networks (ICNs) in children (n = 14, 10.6 +/- 1.5 years), adolescents (n = 12, 15.4 +/- 1.2) and young adults (n=14, 22.4 +/- 1.2). Children demonstrated a more diffuse pattern of correlation with voxels proximal to the seed region of interest (ROI) ("local FC"), whereas adults exhibited more focal patterns of FC, as well as a greater number of significantly correlated voxels at long distances from the seed ROI. Adolescents exhibited intermediate patterns of FC. Consistent with evidence for different maturational time courses, ICNs associated with social and emotional functions exhibited the greatest developmental effects. Our findings demonstrate the utility of FC for the study of developing functional organization. Moreover, given that ICNs are thought to have an anatomical basis in neuronal connectivity, measures of FC may provide a quantitative index of brain maturation in healthy subjects and those with neurodevelopmental disorders.
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In the citing paper
“Prior to 2012, multiple studies had found that functional connectivity between anatomically proximate ROIs gradually decreased, whereas long-range functional connections, especially anterior-posterior links, gradually increased until adulthood (Dosenbach et al., 2010; Fair et al., 2009; Kelly et al., 2009; Supekar 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 Kelly et al., 2009
In the citing paper
“Also, the greatest development occurred in those ICNs associated with social and emotional functions.”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [35]
In the citing paper
“They found that the pattern of correlation with voxels proximal to the seed region of interest was age-dependent: the pattern was diffuse in children (mean age 10.6 years), was less diffuse in adolescents (mean age 15.4 years), and showed signs of becoming focal in young adults (mean age 22.4 years).”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [35]
In the citing paper
“Kelly and colleagues provide additional evidence that brain maturation extends beyond adolescence into young adulthood (35).”
From Emerging Adulthood, a Pre-adult Life-History Stage (2020) · cites this paper as [35]
In the citing paper
“diffuse patterns of local FC are gradually replaced by a distributed architecture, dominated by focal long-range connections (3-6).”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [5]
In the citing paper
“Since development is characterized by an overall increase in long-range functional connections (3-5;25), these studies suggest dysmaturation as a core feature of ASD pathophysiology.”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [5]
In the citing paper
“This resembles TDC functional architecture rather than that of TA (3;5;25), suggesting developmental immaturity in ASD.”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [5]
In the citing paper
“initial R-fMRI studies of adults with ASD demonstrated reduced long-range FC in large-scale networks (3;e.g., 5;50).”
From Aberrant Striatal Functional Connectivity in Children with Autism (2011) · cites this paper as [5]
Citations
Cites
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
AFNI: 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
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
The attention system of the human brain
Posner, M. I., & Petersen, S. E. (1990) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.13.030190.000325 · Cited by 8,070
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Cognitive and emotional influences in anterior cingulate cortex
Bush, G., Luu, P., & Posner, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01483-2 · Cited by 6,259
Research works printed but not linked: 13
- Aboitiz, 1995, Biological research, 28, 45
- 2007, 56, 924
- 2002, 33, 301
- 2007, 56, 399
- 2006, 50, 799
- 2007, 56, 171
- Garrity, 2007, American Journal of Psychiatry, 164, 450, 10.1176/appi.ajp.164.3.450 · DOI
- 2007, 39, 1877
- Kiehl, 2000, Psychophysiology, 37, 216, 10.1017/S0048577200990231 · DOI
- 2007, Cerebral Cortex, 18, 508
- 2006, 36, 259
- 2007, Nature; Physical Science (London), 447, 546
- 2004, IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING NANO TO MACRO, 2, 1510
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Metadata
- Authors
- Kelly, A. M. C., Di Martino, A., Uddin, L. Q., Shehzad, Z., Gee, D. G., Reiss, P. T., Margulies, D. S., Castellanos, F. X., & Milham, M. P.
- Affiliations
- NYU Langone Health (US)
- New York University (US)
- Humboldt-Universität zu Berlin (DE)
- Nathan Kline Institute for Psychiatric Research (US)
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-07-24
- Volume
- 19
- Issue
- 3
- Pages
- 640-657
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2113490642
- Cited by
- 572
- References
- 191
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 17 · 2023: 22 · 2022: 20 · 2021: 34 · 2020: 25 · 2019: 33 · 2018: 37 · 2017: 37 · 2016: 36 · 2015: 37 · 2014: 63 · 2013: 51 · 2012: 43
- FWCI
- 15.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- anterior cingulate cortex, resting-state functional connectivity, resting-state networks, brain maturation, developmental trajectories, children, adolescents, young adults, seed-based functional connectivity
- MeSH terms
- Adolescent, Age Factors, Child, Female, Gyrus Cinguli, Humans, Functional Laterality, Male, Nerve Net, Young Adult
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