The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy
Open accessAbstract
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 in homotopic RSFC in 214 healthy individuals ranging in age from 7 to 85 years. We observed marked age-related changes in homotopic RSFC with regionally specific developmental trajectories of varying levels of complexity. Sensorimotor regions tended to show increasing homotopic RSFC, whereas higher-order processing regions showed decreasing connectivity (i.e., increasing segregation) with age. More complex maturational curves were also detected, with regions such as the insula and lingual gyrus exhibiting quadratic trajectories and the superior frontal gyrus and putamen exhibiting cubic trajectories. Sex-related differences in the developmental trajectory of functional homotopy were detected within dorsolateral prefrontal cortex (Brodmann areas 9 and 46) and amygdala. Evidence of robust developmental effects in homotopic RSFC across the lifespan should serve to motivate studies of the physiological mechanisms underlying functional homotopy in neurodegenerative and psychiatric disorders.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
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
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
Correspondence 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
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561
Consistent 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
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
MacDonald, A. W., Cohen, J. D., Stenger, V. A., & Carter, C. S. (2000) · Science · doi:10.1126/science.288.5472.1835 · Cited by 3,666
Investigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398
Mesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072
Research works printed but not linked: 56
- 10.1146/annurev.soc.34.040507.134631 · DOI
- 10.1037/0882-7974.12.1.12 · DOI · Paper page
- 10.1207/S15326942DN1801_1 · DOI
- 10.1073/pnas.0911855107 · DOI · Paper page
- 10.1016/j.neuron.2004.09.006 · DOI · Paper page
- 10.1006/nimg.2002.1280 · DOI · Paper page
- 10.1101/lm.70504 · DOI · Paper page
- Carter, 2010, Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke, Ann Neurol, 67, 365, 10.1002/ana.21905 · DOI · Paper page
- 10.1016/j.ijpsycho.2007.10.001 · DOI
- Cordes, 2000, Mapping functionally related regions of brain with functional connectivity MR imaging, AJNR Am J Neuroradiol, 21, 1636
- 10.1016/j.neuroimage.2005.08.048 · DOI
- 10.1016/j.neuroimage.2009.01.068 · DOI · Paper page
- 10.1093/cercor/bhn041 · DOI · Paper page
- 10.1038/26220 · DOI · Paper page
- 10.1073/pnas.0705843104 · DOI · Paper page
- 10.1016/j.neuroimage.2010.01.061 · DOI · Paper page
- 10.1152/jn.90562.2008 · DOI · Paper page
- 10.1016/S0278-5846(99)00017-2 · DOI · Paper page
- 10.1093/cercor/11.6.490 · DOI · Paper page
- 10.1523/JNEUROSCI.2308-09.2009 · DOI · Paper page
- 10.1016/j.neuron.2007.02.013 · DOI · Paper page
- 10.1093/biomet/76.2.297 · DOI · Paper page
- Innocenti G (1986) Cerebral cortex, General organization of callosal connections in the cerebral cortex (Plenum, New York), pp 291–353. · DOI · Paper page
- 10.1073/pnas.95.15.9042 · DOI
- 10.1016/j.neuroimage.2010.03.072 · DOI · Paper page
- 10.1016/j.brainres.2009.08.004 · DOI
- 10.1097/01.wnr.0000198434.06518.b8 · DOI · Paper page
- 10.1073/pnas.0908073106 · DOI · Paper page
- 10.1006/nimg.1997.0315 · DOI · Paper page
- 10.1007/BF01190792 · doi:10.1007/bf01190792
- 10.1207/S15326942DN2303_6 · DOI
- McDonald, 2000, Anomalous asymmetry of fusiform and parahippocampal gyrus gray matter in schizophrenia: a postmortem study, Am J Psychiatry, 157, 40, 10.1176/ajp.157.1.40 · DOI · Paper page
- 10.1016/j.neuroimage.2007.10.018 · DOI
- 10.1093/cercor/bhl014 · DOI · Paper page
- 10.1136/jnnp.2004.036566 · DOI
- 10.1016/j.neuroimage.2008.11.030 · DOI · Paper page
- 10.1146/annurev.neuro.051508.135256 · DOI · Paper page
- 10.1016/j.neuropsychologia.2007.04.002 · DOI
- 10.1016/j.bandc.2009.06.005 · DOI · Paper page
- 10.1007/s11065-010-9130-1 · DOI · Paper page
- 10.1523/JNEUROSCI.5309-07.2008 · DOI · Paper page
- 10.1093/cercor/bhn256 · DOI · Paper page
- Smyser CD Inder TE Shimony JS Hill JE Degnan AJ Snyder AZ Neil JJ (2010) Longitudinal analysis of neural network development in preterm infants. Cereb Cortex, Advance online publication. Retrieved September 14, 2010. doi:10.1093/cercor/bhq035 . · DOI · Paper page
- Spencer, 2003, Abnormal neural synchrony in schizophrenia, J Neurosci, 23, 7407, 10.1523/JNEUROSCI.23-19-07407.2003 · DOI · Paper page
- 10.1523/JNEUROSCI.4544-08.2008 · DOI · Paper page
- 10.1038/nrn807 · DOI · Paper page
- 10.1038/nrn1009 · DOI · Paper page
- 10.1016/j.tins.2006.01.007 · DOI · Paper page
- 10.1038/nrn788 · DOI
- 10.1523/JNEUROSCI.1579-09.2009 · DOI · Paper page
- 10.1016/j.neuroimage.2010.03.056 · DOI · Paper page
- White, 2001, Anatomic and functional variability: the effects of filter size in group fMRI data analysis, Neuroimage, 13, 577, 10.1006/nimg.2000.0716 · DOI
- Wood, 2004, Language cortex activation in normal children, Neurology, 63, 1035, 10.1212/01.WNL.0000140707.61952.CA · DOI
- 10.1016/j.neuroimage.2009.05.080 · DOI
- Zubieta, 1999, Gender and age influences on human brain mu-opioid receptor binding measured by PET, Am J Psychiatry, 156, 842, 10.1176/ajp.156.6.842 · DOI · Paper page
- 10.1016/j.neuroimage.2009.09.037 · DOI · Paper page
Cited by
Di Martino, A., Yan, C.-G., Li, Q., Denio, E., Castellanos, F. X., Alaerts, K., Anderson, J. S., Assaf, M., Bookheimer, S. Y., Dapretto, M., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.78 · Cited by 2,780
Self-citationThe Human Connectome Project: A data acquisition perspective
Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.018 · Cited by 2,680
Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., & Milham, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.004 · Cited by 1,461
Self-citationFunction in the human connectome: task-fMRI and individual differences in behavior
Barch, D. M., Burgess, G. C., Harms, M. P., Petersen, S. E., Schlaggar, B. L., Corbetta, M., Glasser, M. F., Curtiss, S., Dixit, S., Feldt, C., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.033 · Cited by 1,529
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125
Metadata
- Authors
- Zuo, X.-N., Kelly, C., Di Martino, A., Mennes, M., Margulies, D. S., Bangaru, S., Grzadzinski, R., Evans, A. C., Zang, Y.-F., Castellanos, F. X., & Milham, M. P.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2010-11-10
- Volume
- 30
- Issue
- 45
- Pages
- 15034-15043
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2015895869
- Cited by
- 750
- References
- 32
- FWCI
- 11.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy. https://app.cochat.ai/papers/10.1523/jneurosci.2612-10.2010
- The paper
- Zuo, X.-N., Kelly, C., Di Martino, A., Mennes, M., Margulies, D. S., Bangaru, S., Grzadzinski, R., Evans, A. C., Zang, Y.-F., Castellanos, F. X., & Milham, M. P. (2010). Growing Together and Growing Apart: Regional and Sex Differences in the Lifespan Developmental Trajectories of Functional Homotopy. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.2612-10.2010
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.