The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Role of Mechanical Factors in the Morphology of the Primate Cerebral Cortex
Open accessAbstract
The convoluted cortex of primates is instantly recognizable in its principal morphologic features, yet puzzling in its complex finer structure. Various hypotheses have been proposed about the mechanisms of its formation. Based on the analysis of databases of quantitative architectonic and connection data for primate prefrontal cortices, we offer support for the hypothesis that tension exerted by corticocortical connections is a significant factor in shaping the cerebral cortical landscape. Moreover, forces generated by cortical folding influence laminar morphology, and appear to have a previously unsuspected impact on cellular migration during cortical development. The evidence for a significant role of mechanical factors in cortical morphology opens the possibility of constructing computational models of cortical development based on physical principles. Such models are particularly relevant for understanding the relationship of cortical morphology to the connectivity of normal brains, and structurally altered brains in diseases of developmental origin, such as schizophrenia and autism.
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
Regressive Events in Neurogenesis
Cowan, W. M., Fawcett, J. W., O'Leary, D. D. M., & Stanfield, B. B. (1984) · Science · doi:10.1126/science.6474175 · Cited by 1,316
Influence of dendritic structure on firing pattern in model neocortical neurons
Mainen, Z. F., & Sejnowski, T. J. (1996) · Nature · doi:10.1038/382363a0 · Cited by 1,231
Cortex: Statistics and Geometry of Neuronal Connectivity
Braitenberg, V., & Schüz, A. (1998) · doi:10.1007/978-3-662-03733-1 · Cited by 1,178
Marín‐Padilla, M. (1992) · Journal of Comparative Neurology · doi:10.1002/cne.903210205 · Cited by 285
Changes in synaptic density in motor cortex of rhesus monkey during fetal and postnatal life
Zecevic, N., Bourgeois, J.-P., & Rakic, P. (1989) · Developmental Brain Research · doi:10.1016/0165-3806(89)90124-7 · Cited by 253
Developmental mechanics of the primate cerebral cortex
Hilgetag, C. C., & Barbas, H. (2005) · Anatomy and Embryology · doi:10.1007/s00429-005-0041-5 · Cited by 198
Self-citation
Cited by
The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284
Role of Intermediate Progenitor Cells in Cerebral Cortex Development
Pontious, A., Kowalczyk, T., Englund, C., & Hevner, R. F. (2008) · Developmental Neuroscience · doi:10.1159/000109848 · Cited by 378
Changes in Prefrontal Axons May Disrupt the Network in Autism
Zikopoulos, B., & Barbas, H. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.2257-10.2010 · Cited by 357
Self-citationA tutorial in connectome analysis: Topological and spatial features of brain networks
Kaiser, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.025 · Cited by 371
Altered neural connectivity in excitatory and inhibitory cortical circuits in autism
Zikopoulos, B., & Barbas, H. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00609 · Cited by 313
Self-citationDeconstructing cortical folding: genetic, cellular and mechanical determinants
Llinares-Benadero, C., & Borrell, V. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0112-2 · Cited by 243
Pathways for emotions and attention converge on the thalamic reticular nucleus in primates
Zikopoulos, B., & Barbas, H. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.4793-11.2012 · Cited by 193
Self-citationEmerging roles of neural stem cells in cerebral cortex development and evolution
Borrell, V., & Reillo, I. (2012) · Developmental Neurobiology · doi:10.1002/dneu.22013 · Cited by 185
Zikopoulos, B., & Barbas, H. (2007) · Reviews in the Neurosciences · doi:10.1515/revneuro.2007.18.6.417 · Cited by 156
Self-citationAutism: The first firm finding = underconnectivity?
Hughes, J. R. (2007) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2007.03.010 · Cited by 156
Growth trajectories of the human fetal brain tissues estimated from 3D reconstructed in utero MRI
Scott, J. A., Habas, P. A., Kim, K., Rajagopalan, V., Hamzelou, K. S., Corbett‐Detig, J. M., Barkovich, A. J., Glenn, O. A., & Studholme, C. (2011) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2011.04.001 · Cited by 119
Libero, L. E., DeRamus, T. P., Deshpande, H. D., & Kana, R. K. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.001 · Cited by 95
Ribeiro, P. F. M., Ventura-Antunes, L., Gabi, M., Mota, B., Grinberg, L. T., Farfel, J. M., Ferretti-Rebustini, R. E. L., Leite, R. E. P., Filho, W. J., & Herculano-Houzel, S. (2013) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2013.00028 · Cited by 89
Schultz, C. C., Mühleisen, T. W., Nenadic, I., Koch, K., Wagner, G., Schachtzabel, C., Siedek, F., Nöthen, M. M., Rietschel, M., Deufel, T., et al. (2014) · Psychological Medicine · doi:10.1017/s0033291713001414 · Cited by 60
The Influence of Wiring Economy on Nervous System Evolution
Wang, I. E., & Clandinin, T. R. (2016) · Current Biology · doi:10.1016/j.cub.2016.08.053 · Cited by 45
Radulescu, E., Minati, L., Ganeshan, B., Harrison, N. A., Gray, M. A., Beacher, F. D. C. C., Chatwin, C., Young, R. C. D., & Critchley, H. D. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.05.010 · Cited by 36
Opposite development of short- and long-range anterior cingulate pathways in autism
Zikopoulos, B., Liu, X., Tepe, J., Trutzer, I., John, Y. J., & Barbas, H. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1904-1 · Cited by 38
Self-citation
Metadata
- Authors
- Hilgetag, C. C., & Barbas, H.
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2006-03-24
- Volume
- 2
- Issue
- 3
- Pages
- e22
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- OpenAlex
- W2003265283
- Cited by
- 309
- References
- 6
- FWCI
- 3.07
- Type
- journal article
- Language
- en
- Open access
- gold
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
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.