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Structural Asymmetries in the Human Brain: a Voxel-based Statistical Analysis of 142 MRI Scans
Abstract
The use of computational approaches in the analysis of high resolution magnetic resonance images (MRI) of the human brain provides a powerful tool for in vivo studies of brain anatomy. Here, we report results obtained with a voxel-wise statistical analysis of hemispheric asymmetries in regional 'amounts' of gray matter, based on MRI scans obtained in 142 healthy young adults. Firstly, the voxel-wise analysis detected the well-known frontal (right > left) and occipital (left > right) petalias. Secondly, our analysis confirmed the presence of left-greater-than-right asymmetries in several posterior language areas, including the planum temporale and the angular gyrus; no significant asymmetry was detected in the anterior language regions. We also found previously described asymmetries in the cingulate sulcus (right > left) and the caudate nucleus (right > left). Finally, in some brain regions we observed highly significant asymmetries that were not reported before, such as in the anterior insular cortex (right > left). The above asymmetries were observed in men and women. Our results thus provide confirmation of the known structural asymmetries in the human brain as well as new findings that may stimulate further research of hemispheric specialization.
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Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 1×
“The 142 T1-weighted brain volumes were stereotaxically transformed using nine parameters (Collins et al., 1994) to match the Montreal Neurological Institute 305 average template (MNI305).”
MethodNavigation-related structural change in the hippocampi of taxi drivers
Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.070039597 · Cited by 3,225
Structural maturation of neural pathways in children and adolescents: in vivo study
Paus, T., Zijdenbos, A., Worsley, K., Collins, D. L., Blumenthal, J., Giedd, J. N., Rapoport, J. L., & Evans, A. C. (1999) · Science · doi:10.1126/science.283.5409.1908 · Cited by 1,322
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A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151
Tamnes, C. K., Østby, Y., Fjell, A. M., Westlye, L. T., Due-Tønnessen, P., & Walhovd, K. B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp118 · Cited by 779
Parcellations and Hemispheric Asymmetries of Human Cerebral Cortex Analyzed on Surface-Based Atlases
Van Essen, D. C., Glasser, M. F., Dierker, D. L., Harwell, J., & Coalson, T. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr291 · Cited by 616
Aron, A. R., & Poldrack, R. A. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.10.026 · Cited by 602
Mapping Changes in the Human Cortex throughout the Span of Life
Sowell, E. R., Thompson, P. M., & Toga, A. W. (2004) · The Neuroscientist · doi:10.1177/1073858404263960 · Cited by 572
Rajah, M. N., & D'Esposito, M. (2005) · Brain · doi:10.1093/brain/awh608 · Cited by 513
Krain, A. L., & Castellanos, F. X. (2006) · Clinical Psychology Review · doi:10.1016/j.cpr.2006.01.005 · Cited by 495
Intuition and autism: a possible role for Von Economo neurons
Allman, J. M., Watson, K. K., Tetreault, N. A., & Hakeem, A. Y. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.06.008 · Cited by 484
Chen, Z. J., He, Y., Rosa-Neto, P., Germann, J., & Evans, A. C. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhn003 · Cited by 484
The von Economo neurons in frontoinsular and anterior cingulate cortex in great apes and humans
Allman, J. M., Tetreault, N. A., Hakeem, A. Y., Manaye, K. F., Semendeferi, K., Erwin, J. M., Park, S., Goubert, V., & Hof, P. R. (2010) · Brain Structure and Function · doi:10.1007/s00429-010-0254-0 · Cited by 354
Language‐association cortex asymmetry in autism and specific language impairment
De Fossé, L., Hodge, S. M., Makris, N., Kennedy, D. N., Caviness, V. S., McGrath, L., Steele, S., Ziegler, D. A., Herbert, M. R., Frazier, J. A., et al. (2004) · Annals of Neurology · doi:10.1002/ana.20275 · Cited by 339
Vernooij, M. W., Smits, M., Wielopolski, P. A., Houston, G. C., Krestin, G. P., & van der Lugt, A. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.041 · Cited by 316
Park, H.-J., Westin, C.-F., Kubicki, M., Maier, S. E., Niznikiewicz, M., Baer, A., Frumin, M., Kikinis, R., Jolesz, F. A., McCarley, R. W., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.04.036 · Cited by 295
The von Economo neurons in the frontoinsular and anterior cingulate cortex
Allman, J. M., Tetreault, N. A., Hakeem, A. Y., Manaye, K. F., Semendeferi, K., Erwin, J. M., Park, S., Goubert, V., & Hof, P. R. (2011) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2011.06011.x · Cited by 280
Tisserand, D. J. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh057 · Cited by 271
Shaw, P., Lalonde, F., Lepage, C., Rabin, C., Eckstrand, K., Sharp, W., Greenstein, D., Evans, A., Giedd, J. N., & Rapoport, J. (2009) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2009.103 · Cited by 249
Highley, J. R. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.11.1218 · Cited by 207
A volumetric comparison of the insular cortex and its subregions in primates
Bauernfeind, A. L., de Sousa, A. A., Avasthi, T., Dobson, S. D., Raghanti, M. A., Lewandowski, A. H., Zilles, K., Semendeferi, K., Allman, J. M., Craig, A. D. (., et al. (2013) · Journal of Human Evolution · doi:10.1016/j.jhevol.2012.12.003 · Cited by 134
Adult attachment insecurity and hippocampal cell density
Quirin, M., Gillath, O., Pruessner, J. C., & Eggert, L. D. (2010) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp042 · Cited by 71
Exploiting human anatomical variability as a link between genome and cognome
Leonard, C. M., Eckert, M. A., & Kuldau, J. M. (2006) · Genes, Brain and Behavior · doi:10.1111/j.1601-183x.2006.00196.x · Cited by 38
Staging Neurodegenerative Disorders: Structural, Regional, Biomarker, and Functional Progressions
Archer, T., Kostrzewa, R. M., Beninger, R. J., & Palomo, T. (2011) · Neurotoxicity Research · doi:10.1007/s12640-010-9190-2 · Cited by 34
Metadata
- Authors
- Watkins, K. E.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-09-01
- Volume
- 11
- Issue
- 9
- Pages
- 868-877
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2151566456
- Cited by
- 471
- References
- 5
- FWCI
- 9.52
- Type
- journal article
- Language
- en
- Open access
- closed
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