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Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex
Abstract
Highly accurate surface models of the cerebral cortex are becoming increasingly important as tools in the investigation of the functional organization of the human brain. The construction of such models is difficult using current neuroimaging technology due to the high degree of cortical folding. Even single voxel misclassifications can result in erroneous connections being created between adjacent banks of a sulcus, resulting in a topologically inaccurate model. These topological defects cause the cortical model to no longer be homeomorphic to a sheet, preventing the accurate inflation, flattening, or spherical morphing of the reconstructed cortex. Surface deformation techniques can guarantee the topological correctness of a model, but are time-consuming and may result in geometrically inaccurate models. In order to address this need we have developed a technique for taking a model of the cortex, detecting and fixing the topological defects while leaving that majority of the model intact, resulting in a surface that is both geometrically accurate and topologically correct.
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Structural evidence for involvement of a left amygdala-orbitofrontal network in subclinical anxiety
Blackmon, K., Barr, W. B., Carlson, C., Devinsky, O., DuBois, J., Pogash, D., Quinn, B. T., Kuzniecky, R., Halgren, E., & Thesen, T. (2011) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2011.05.007 · Cited by 90
“These steps are described in detail elsewhere (Dale, Fischl, and Sereno, 1999; Fischl, Sereno, and Dale, 1999; Fischl, Liu, and Dale, 2001).”
MethodKatsumi, Y., Kamona, N., Zhang, J., Bunce, J. G., Hutchinson, J. B., Yarossi, M., Tunik, E., Quigley, K. S., Dickerson, B. C., & Barrett, L. F. (2021) · doi:10.1101/2021.09.01.456844 · Cited by 89
Bettcher, B. M., Fitch, R., Wynn, M. J., Lalli, M. A., Elofson, J., Jastrzab, L., Mitic, L., Miller, Z. A., Rabinovici, G. D., Miller, B. L., et al. (2016) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.05.004 · Cited by 89
The Fine-Scale Functional Correlation of Striate Cortex in Sighted and Blind People
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Neuroinflammation in Huntington’s Disease: New Insights with 11 C-PBR28 PET/MRI
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“The details of these methods have been reported elsewhere.(35-46) The average volume for each subject was used to create a finite-element surface mesh model of the cortical surface, both at the gray matter–white matter junction and pial surface.”
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Self-citationThe neural coding of feedback learning across child and adolescent development
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Goldstone, A., Willoughby, A. R., de Zambotti, M., Franzen, P. L., Kwon, D., Pohl, K. M., Pfefferbaum, A., Sullivan, E. V., Müller-Oehring, E. M., Prouty, D. E., et al. (2018) · Brain Structure and Function · doi:10.1007/s00429-017-1509-9 · Cited by 63
Alexithymia in neurodegenerative disease
Sturm, V. E., & Levenson, R. W. (2011) · Neurocase · doi:10.1080/13554794.2010.532503 · Cited by 61
Stability of graph theoretical measures in structural brain networks in Alzheimer’s disease
Mårtensson, G., Pereira, J. B., Mecocci, P., Vellas, B., Tsolaki, M., Kłoszewska, I., Soininen, H., Lovestone, S., Simmons, A., Volpe, G., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-29927-0 · Cited by 60
The brain dynamics of intellectual development: Waxing and waning white and gray matter
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Quantification of motor speech impairment and its anatomic basis in primary progressive aphasia
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Artificial intelligence classifies primary progressive aphasia from connected speech
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Neuroanatomical Correlates of the Unity and Diversity Model of Executive Function in Young Adults
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Structural and Volumetric Brain MRI Findings in Mild Traumatic Brain Injury
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Metadata
- Authors
- Fischl, B., Liu, A., & Dale, A. M.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 2001
- Volume
- 20
- Issue
- 1
- Pages
- 70-80
- ISSN
- 0278-0062 (ISSN-L)
- OpenAlex
- W2155963684
- Cited by
- 1,751
- References
- 4
- FWCI
- 18.98
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
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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.