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Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome
Open accessAbstract
We identified and mapped an anatomically localized failure of cortical maturation in Williams syndrome (WS), a genetic condition associated with deletion of ∼20 contiguous genes on chromosome 7. Detailed three-dimensional (3D) maps of cortical thickness, based on magnetic resonance imaging (MRI) scans of 164 brain hemispheres, identified a delimited zone of right hemisphere perisylvian cortex that was thicker in WS than in matched controls, despite pervasive gray and white matter deficits and reduced total cerebral volumes. 3D cortical surface models were extracted from 82 T1-weighted brain MRI scans (256 × 192 × 124 volumes) of 42 subjects with genetically confirmed WS (mean ± SD, 29.2 ± 9.0 years of age; 19 males, 23 females) and 40 age-matched healthy controls (27.5 ± 7.4 years of age; 16 males, 24 females). A cortical pattern-matching technique used 72 sulcal landmarks traced on each brain as anchors to align cortical thickness maps across subjects, build group average maps, and identify regions with altered cortical thickness in WS. Cortical models were remeshed in frequency space to compute their fractal dimension (surface complexity) for each hemisphere and lobe. Surface complexity was significantly increased in WS (p< 0.0015 and p< 0.0014 for left and right hemispheres, respectively) and correlated with temporoparietal gyrification differences, classified via Steinmetz criteria. In WS, cortical thickness was increased by 5-10% in a circumscribed right hemisphere perisylvian and inferior temporal zone (p< 0.002). Spatially extended cortical regions were identified with increased complexity and thickness; cortical thickness and complexity were also positively correlated in controls (p< 0.03). These findings visualize cortical zones with altered anatomy in WS, which merit additional study with techniques to assess function and connectivity.
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The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 2×
“Gogtay et al., 2004; Sowell et al., 2004).”
BackgroundSelf-citationMapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328
Self-citationImage And Brain: The Resolution of the Imagery Debate
Kosslyn, S. M. (1994) · doi:10.7551/mitpress/3653.001.0001 · Cited by 1,977
Dynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132
Self-citationBartzokis, G., Sultzer, D., Lu, P. H., Nuechterlein, K. H., Mintz, J., & Cummings, J. L. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.09.005 · Cited by 363
Three-dimensional statistical analysis of sulcal variability in the human brain
Thompson, P. M., Schwartz, C., Lin, R. T., Khan, A. A., & Toga, A. W. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04261.1996 · Cited by 346
Self-citationDistributional assumptions in voxel-based morphometry
Salmond, C. H., Ashburner, J., Vargha-Khadem, F., Connelly, A., Gadian, D. G., & Friston, K. J. (2002) · NeuroImage · doi:10.1006/nimg.2002.1153 · Cited by 256
Sowell, E. R. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.1.17 · Cited by 212
Mervis, C. B., Morris, C. A., Klein-Tasman, B. P., Bertrand, J., Kwitny, S., Appelbaum, L. G., & Rice, C. E. (2003) · Developmental Neuropsychology · doi:10.1080/87565641.2003.9651894 · Cited by 170
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Toga, A. W., Thompson, P. M., & Sowell, E. R. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.01.007 · Cited by 872
Self-citationMeyer-Lindenberg, A., Mervis, C. B., & Faith Berman, K. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1906 · Cited by 411
The development of gyrification in childhood and adolescence
White, T., Su, S., Schmidt, M., Kao, C.-Y., & Sapiro, G. (2010) · Brain and Cognition · doi:10.1016/j.bandc.2009.10.009 · Cited by 411
Applications of fMRI in translational medicine and clinical practice
Matthews, P. M., Honey, G. D., & Bullmore, E. T. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1929 · Cited by 322
Similarity-Based Extraction of Individual Networks from Gray Matter MRI Scans
Tijms, B. M., Series, P., Willshaw, D. J., & Lawrie, S. M. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr221 · Cited by 309
Metadata
- Authors
- Thompson, P. M., Lee, A. D., Dutton, R. A., Geaga, J. A., Hayashi, K. M., Eckert, M. A., Bellugi, U., Galaburda, A. M., Korenberg, J. R., Mills, D. L., Toga, A. W., & Reiss, A. L.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2005-04-20
- Volume
- 25
- Issue
- 16
- Pages
- 4146-4158
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2117020833
- Cited by
- 288
- References
- 12
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Thompson, P. M., Lee, A. D., Dutton, R. A., Geaga, J. A., Hayashi, K. M., Eckert, M. A., Bellugi, U., Galaburda, A. M., Korenberg, J. R., Mills, D. L., Toga, A. W., & Reiss, A. L. (2005). Abnormal Cortical Complexity and Thickness Profiles Mapped in Williams Syndrome. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0165-05.2005
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