The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Cortical Folding Patterns and Predicting Cytoarchitecture
Open accessAbstract
The human cerebral cortex is made up of a mosaic of structural areas, frequently referred to as Brodmann areas (BAs). Despite the widespread use of cortical folding patterns to perform ad hoc estimations of the locations of the BAs, little is understood regarding 1) how variable the position of a given BA is with respect to the folds, 2) whether the location of some BAs is more variable than others, and 3) whether the variability is related to the level of a BA in a putative cortical hierarchy. We use whole-brain histology of 10 postmortem human brains and surface-based analysis to test how well the folds predict the locations of the BAs. We show that higher order cortical areas exhibit more variability than primary and secondary areas and that the folds are much better predictors of the BAs than had been previously thought. These results further highlight the significance of cortical folding patterns and suggest a common mechanism for the development of the folds and the cytoarchitectonic fields.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“functional areal boundaries (see Parcellation Choice) of heteromodal association areas are variable with respect to sulcal and gyral anatomy (Fischl et al., 2008).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Fischl et al., 2008
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
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
Self-citationDistributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
Self-citationDISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.2.237 · Cited by 3,419
Specification of Cerebral Cortical Areas
Rakic, P. (1988) · Science · doi:10.1126/science.3291116 · Cited by 3,127 · cited 2×
“…areas is that the 1978 Cortical Folding Patterns d Fischl et al. specification of the architectonic regions is present in a protomap in the proliferative ventricular zone in the form of radial columns that guide the formation and migration of cortical neurons during neurodevelopment (Rakic 1988).”
Background(1909) · Cited by 2,575
DISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.3.585 · Cited by 1,840
Fischl, B. R., Liu, A., & Dale, A. M. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906426 · Cited by 1,755
Self-citationAN ANATOMICAL STUDY OF CONVERGING SENSORY PATHWAYS WITHIN THE CEREBRAL CORTEX OF THE MONKEY
Jones, E. G., & Powell, T. P. S. (1970) · Brain · doi:10.1093/brain/93.4.793 · Cited by 1,717
Flagged first, then by citations
Research works printed but not linked: 6
- 2007, PNAS, 108, 7652
- 1933, J PSYCHOL NEUROL, 45, 381
- 1988, COMP PRIMATE BIOL, 4, 39
- 1911, J PSYCHOL NEUROL, 18, 107
- 2004, Journal of Anatomy, 205, 217
- 1995, Journal of Anatomy, 187, 515
Cited by
Sorted by citations
Items 401–500 of 736
Kelly, K. R., DeSimone, K., Gallie, B. L., & Steeves, J. K. E. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.11.020 · Cited by 26
The generation of tetrahedral mesh models for neuroanatomical MRI
Lederman, C., Joshi, A. A., Dinov, I. D., Vese, L. A., Toga, A. W., & Horn, J. D. V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.013 · Cited by 24
Interaction of cortical networks mediating object motion detection by moving observers
Calabro, F. J., & Vaina, L. M. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3159-8 · Cited by 25
Mechanisms of circumferential gyral convolution in primate brains
Zhang, T., Razavi, M. J., Chen, H., Li, Y., Li, X., Li, L., Guo, L., Hu, X. P., Liu, T., & Wang, X. (2017) · Journal of Computational Neuroscience · doi:10.1007/s10827-017-0637-9 · Cited by 24
The Effect of Onset Age of Visual Deprivation on Visual Cortex Surface Area Across-Species
Andelin, A. K., Olavarría, J. F., Fine, I., Taber, E. N., Schwartz, D., Kroenke, C. D., & Stevens, A. A. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy315 · Cited by 24
Binding During Sequence Learning Does Not Alter Cortical Representations of Individual Actions
Beukema, P., Diedrichsen, J., & Verstynen, T. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2669-18.2019 · Cited by 23
Huang, S.-G., Lyu, I., Qiu, A., & Chung, M. K. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2967451 · Cited by 23
Livne, T., Kim, D., Metcalf, N. V., Zhang, L., Pini, L., Shulman, G. L., & Corbetta, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-20866-5 · Cited by 23
Haenelt, D., Trampel, R., Nasr, S., Polimeni, J. R., Tootell, R. B. H., Sereno, M. I., Pine, K., Edwards, L., Helbling, S., & Weiskopf, N. (2023) · eLife · doi:10.7554/elife.78756 · Cited by 21
Assessment of Silent T1-weighted head imaging at 7 T
Costagli, M., Symms, M. R., Angeli, L., Kelley, D. A. C., Biagi, L., Farnetani, A., Rua, C., Donatelli, G., Tiberi, G., Tosetti, M., et al. (2015) · European Radiology · doi:10.1007/s00330-015-3954-2 · Cited by 22
Tong, T., Aganj, I., Ge, T., Polimeni, J. R., & Fischl, B. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.019 · Cited by 22
Self-citationGyral peaks: Novel gyral landmarks in developing macaque brains
Zhang, S., Chavoshnejad, P., Li, X., Guo, L., Jiang, X., Han, J., Wang, L., Li, G., Wang, X., Liu, T., et al. (2022) · Human Brain Mapping · doi:10.1002/hbm.25971 · Cited by 20
The efficiency of fMRI region of interest analysis methods for detecting group differences
Hutchison, J. L., Hubbard, N. A., Brigante, R. M., Turner, M. P., Sandoval, T. I., Hillis, G. A. J., Weaver, T. P., & Rypma, B. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.01.012 · Cited by 22
Pfannmöller, J. P., Greiner, M., Balasubramanian, M., & Lotze, M. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.10.036 · Cited by 22
Lin, F., Polimeni, J. R., Lin, J.-F. L., Tsai, K. W., Chu, Y.-H., Wu, P., Li, Y.-T., Hsu, Y.-C., Tsai, S., & Kuo, W. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.041 · Cited by 23
Gene Expression Correlates of the Cortical Network Underlying Sentence Processing
Kong, X., Tzourio‐Mazoyer, N., Joliot, M., Fedorenko, E. G., Liu, J., Fisher, S. E., & Francks, C. (2020) · Neurobiology of Language · doi:10.1162/nol_a_00004 · Cited by 24
Morphology and Spatial Probability Maps of the Horizontal Ascending Ramus of the Lateral Fissure
Sprung‐Much, T., & Petrides, M. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz189 · Cited by 22
Identifying Cross-individual Correspondences of 3-hinge Gyri
Zhang, T., Huang, Y., Zhao, L., He, Z., Jiang, X., Guo, L., Hu, X., & Liu, T. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101700 · Cited by 23
Fawaz, A., Williams, L. Z. J., Alansary, A., Bass, C., Gopinath, K. K., da Silva, M., Dahan, S., Adamson, C. L., Alexander, B., Thompson, D. K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.12.01.470730 · Cited by 29
Gülban, Ö. F., Goebel, R., Moerel, M., Zachlod, D., Mohlberg, H., Amunts, K., & Martino, F. D. (2020) · eLife · doi:10.7554/elife.56963 · Cited by 21
Self-citationCortical morphometry and neural dysfunction in Huntington’s disease: a review
Tan, B., Shishegar, R., Poudel, G. R., Fornito, A., & Georgiou‐Karistianis, N. (2020) · European Journal of Neurology · doi:10.1111/ene.14648 · Cited by 24
Deep transfer learning for cerebral cortex using area-preserving geometry mapping
Gao, K., Fan, Z., Su, J., Zeng, L., Shen, H., Zhu, J., & Hu, D. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab394 · Cited by 21
He, Z., Du, L., Huang, Y., Jiang, X., Lv, J., Guo, L., Zhang, S., & Zhang, T. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab420 · Cited by 19
Parcellating the human brain using resting-state dynamic functional connectivity
Peng, L., Luo, Z., Zeng, L., Hou, C., Shen, H., Zhou, Z., & Hu, D. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac293 · Cited by 22
Mapping Cytoarchitectonics and Receptor Architectonics to Understand Brain Function and Connectivity
Zachlod, D., Palomero‐Gallagher, N., Dickscheid, T., & Amunts, K. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.09.014 · Cited by 21
Self-citationEvaluation of surface-based hippocampal registration using ground-truth subfield definitions
DeKraker, J., Palomero‐Gallagher, N., Kedo, O., Bernasconi, N., Muenzing, S. E. A., Axer, M., Amunts, K., KHAN, A. R., Bernhardt, B. C., & Evans, A. C. (2023) · eLife · doi:10.7554/elife.88404 · Cited by 20
Self-citationRace, D. S., Ochfeld, E. N., Leigh, R. J., & Hillis, A. E. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.04.019 · Cited by 21
Bihemispheric alterations in myelination in children following unilateral perinatal stroke
Yu, S. S., Carlson, H. L., Mineyko, A., Brooks, B. L., Kuczynski, A. M., Hodge, J. A., Dukelow, S. P., & Kirton, A. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.06.028 · Cited by 20
Yun, H. J., Chung, A. W., Vasung, L., Yang, E., Tarui, T., Rollins, C. K., Ortinau, C. M., Grant, P. E., & Im, K. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.12.023 · Cited by 21
Primary auditory cortex representation of fear‐conditioned musical sounds
Staib, M., Abivardi, A., & Bach, D. R. (2019) · Human Brain Mapping · doi:10.1002/hbm.24846 · Cited by 21
Rivera-Bonet, C. N., Hwang, G., Hermann, B. P., Struck, A. F., Cook, C. J., Nair, V. A., Mathis, J. R., Allen, L., Almane, D. N., Arkush, K., et al. (2020) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2020.107172 · Cited by 21
Medial temporal lobe contributions to resting-state networks
Seoane, S., Modroño, C., González–Mora, J. L., & Janssen, N. (2022) · Brain Structure and Function · doi:10.1007/s00429-021-02442-1 · Cited by 18
The Relationship between White Matter Architecture and Language Lateralization in the Healthy Brain
Andrulyte, I., de Bézenac, C. E., Branzi, F. M., Forkel, S. J., Taylor, P. N., & Keller, S. S. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0166-24.2024 · Cited by 25
Xu, F., Liu, M., Kim, S. Y., Ge, X., Zhang, Z., Tang, Y., Lin, X., Toga, A. W., Liu, S., & Kim, H. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab123 · Cited by 19
Local-to-remote cortical connectivity in amnestic mild cognitive impairment
Zhang, Y., Zhao, Z., Qi, Z., Hu, Y., Wang, Y., Sheng, C., Sun, Y., Wang, X., Jiang, L., Yan, C., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.016 · Cited by 20
A flexible graphical model for multi-modal parcellation of the cortex
Parisot, S., Glocker, B., Ktena, S. I., Arslan, S., Schirmer, M. D., & Rueckert, D. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.005 · Cited by 20
Härtner, J., Strauß, S., Pfannmöller, J. P., & Lotze, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117912 · Cited by 20
Cortical Areas for Planning Sequences before and during Movement
Ariani, G., Shahbazi, M., & Diedrichsen, J. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1300-24.2024 · Cited by 19
Gao, X., Wen, M., Sun, M., & Rossion, B. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab519 · Cited by 22
Drudik, K., Zlatkina, V., & Petrides, M. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac132 · Cited by 19
BIBSNet: A deep learning baby image brain segmentation network for MRI scans
Hendrickson, T. J., Reiners, P., Moore, L. A., Lundquist, J. T., Fayzullobekova, B., Perrone, A. J., Lee, E. G., Moser, J., Day, T. K. M., Alexopoulos, D., et al. (2026) · Developmental Cognitive Neuroscience · doi:10.1101/2023.03.22.533696 · Cited by 24
Selective breeding in domestic dogs: How selecting for a short face impacted canine neuroanatomy
Selba, M. C., Bryson, E. R., Rosenberg, C. L., Heng, H. G., & DeLeon, V. B. (2020) · The Anatomical Record · doi:10.1002/ar.24471 · Cited by 19
Rushmore, J., Sylvain Bouix, A., Kubicki, M. R., Yogesh Rathi, A., Rosene, D. L., Yeterian, E. H., & Makris, N. (2020) · Brain Imaging and Behavior · doi:10.1007/s11682-020-00357-9 · Cited by 19
Intergenerational Transmission of Cortical Sulcal Patterns from Mothers to their Children
Ahtam, B., Turesky, T. K., Zöllei, L., Standish, J., Grant, P. E., Gaab, N., & Im, K. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa328 · Cited by 19
Liao, W., Wang, J., Xu, T., Zhang, Z., Ji, G., Xu, Q., Wang, Z., Yang, F., Zuo, X., Qiu, A., et al. (2016) · 中国科学通报:英文版 · doi:10.1007/s11434-016-1201-0 · Cited by 19
Altered functional connectivity of cortical networks in semantic variant primary progressive aphasia
Popal, H., Quimby, M., Hochberg, D., Dickerson, B. C., & Collins, J. A. (2020) · NeuroImage: Clinical · doi:10.1016/j.nicl.2020.102494 · Cited by 18
Cortical areas associated to higher cognition drove primate brain evolution
Melchionna, M., Castiglione, S., Girardi, G., Profico, A., Mondanaro, A., Sansalone, G., Chatar, N., Pérez‐Ramos, A., Fernández‐Monescillo, M., Serio, C., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-07505-1 · Cited by 18
Inter-individual deep image reconstruction via hierarchical neural code conversion
Ho, J. K., Horikawa, T., Majima, K., Cheng, F., & Kamitani, Y. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120007 · Cited by 24
Acosta, O., Fripp, J., Doré, V., Bourgeat, P., Favreau, J.-M., Chételat, G., Rueda, A., Villemagne, V. L., Szoeke, C. E. I., Ames, D. J., et al. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.12.011 · Cited by 18
fMRI with Central Vision Loss: Effects of Fixation Locus and Stimulus Type
Plank, T., Frolo, J., Brandl-Rühle, S., Renner, A. B., Jägle, H., & Greenlee, M. W. (2017) · Optometry and Vision Science · doi:10.1097/opx.0000000000001047 · Cited by 18
Freezing of gait is associated with cortical thinning in mesial frontal cortex
Vaštík, M., Hok, P., Valošek, J., Hluštı́k, P., Menšíková, K., & Kaňovský, P. (2017) · Biomedical Papers · doi:10.5507/bp.2017.035 · Cited by 18
The Haskins pediatric atlas: a magnetic-resonance-imaging-based pediatric template and atlas
Molfese, P. J., Glen, D., Mesite, L. M., Cox, R. W., Hoeft, F., Frost, S. J., Mencl, W. E., Pugh, K. R., & Bandettini, P. A. (2020) · Pediatric Radiology · doi:10.1007/s00247-020-04875-y · Cited by 18
Convolutional neural networks for cytoarchitectonic brain mapping at large scale
Schiffer, C., Spitzer, H., Kiwitz, K., Unger, N., Wagstyl, K., Evans, A. C., Stefan Harmeling, B., Amunts, K., & Dickscheid, T. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118327 · Cited by 23
Self-citationA gyral coordinate system predictive of fibre orientations
Cottaar, M., Bastiani, M., Chen, C., Dikranian, K. T., Essen, D. C. V., Behrens, T. E. J., Sotiropoulos, S. N., & Jbabdi, S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.040 · Cited by 18
DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints
Auzias, G., Glaunès, J., Colliot, O., Perrot, M., Mangin, J., Trouvé, A., & Baillet, S. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04268-3_90 · Cited by 18
Multimodal Brain Parcellation Based on Functional and Anatomical Connectivity
Wang, C., Ng, B., & Garbi, R. (2018) · Brain Connectivity · doi:10.1089/brain.2017.0576 · Cited by 17
Morton, S. U., Maleyeff, L., Wypij, D., Yun, H. J., Rollins, C. K., Watson, C. G., Newburger, J. W., Bellinger, D. C., Roberts, A. E., Rivkin, M. J., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab114 · Cited by 16
Berlot, E., Popp, N. J., Grafton, S. T., & Diedrichsen, J. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0863-21.2021 · Cited by 17
Santacroce, F., Cachia, A., Fragueiro, A., Grande, E., Roëll, M., Baldassarre, A., Sestieri, C., & Committeri, G. (2024) · Communications Biology · doi:10.1038/s42003-024-06175-9 · Cited by 17
Kujala, T., Sihvonen, A. J., Thiede, A., Palo-oja, P., Virtala, P., Numminen, J., & Laasonen, M. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-89317-x · Cited by 20
Multi-Contrast Magnetic Resonance Imaging of Visual White Matter Pathways in Patients With Glaucoma
Ogawa, S., Takemura, H., Horiguchi, H., Miyazaki, A., Matsumoto, K., Masuda, Y., Yoshikawa, K., & Nakano, T. (2022) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.63.2.29 · Cited by 17
Progressive Thinning of Visual Motion Area in Lower Limb Amputees
Jiang, G., Li, C., Wu, J., Jiang, T., Zhang, Y., Zhao, L., Evans, A. C., Li, L., Ran, S., Yin, X., et al. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00079 · Cited by 17
Liang, M., Xiao, H., Xie, B., Yin, X., Wang, J., & Yang, H. (2019) · BMC Neuroscience · doi:10.1186/s12868-019-0524-6 · Cited by 17
Greater variability in chimpanzee ( Pan troglodytes ) brain structure among males
DeCasien, A. R., Sherwood, C. C., Schapiro, S. J., & Higham, J. P. (2020) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.2858 · Cited by 16
Riskin-Jones, H. H., Kashanian, A., Sparks, H. D., Tsolaki, E. C., & Pouratian, N. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102628 · Cited by 16
Branscheidt, M., Ejaz, N., Xu, J., Widmer, M., Harran, M. D., Cortés, J. C., Kitago, T., Celnik, P. A., Hernandez-Castillo, C. R., Diedrichsen, J., et al. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00148.2021 · Cited by 20
Ma, L., Liu, M., Xue, K., Ye, C., Man, W., Cheng, M., Liu, Z., Zhu, D., Liu, F., & Wang, J. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.02.022 · Cited by 19
Effects of Registration Regularization and Atlas Sharpness on Segmentation Accuracy
Yeo, B. T. T., Sabuncu, M. R., Desikan, R. S., Fischl, B. R., & Golland, P. (2007) · Springer eBooks · doi:10.1007/978-3-540-75757-3_83 · Cited by 16
Self-citationAnatomical segmentation of the human medial prefrontal cortex
Parada, M. C., Müller, N. C. J., Ubero, M., del Pueblo, V. M. S., Mansilla, F., Marcos, P., Artacho‐Pérula, E., Dresler, M., Insausti, R., Fernández, G., et al. (2017) · The Journal of Comparative Neurology · doi:10.1002/cne.24212 · Cited by 16
Du, J., DiNicola, L. M., Angeli, P. A., Saadon‐Grosman, N., Sun, W., Kaiser, S., Ladopoulou, J., Xue, A., Yeo, B. T. T., Eldaief, M. C., et al. (2026) · doi:10.21428/8e6ba8ef.7dba6cc4 · Cited by 15
Self-citationCao, Z., Xiao, X., Xie, C., Wei, L., Yang, Y., & Zhu, C. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1341908 · Cited by 15
Fossil Primate Endocasts: Perspectives from Advanced Imaging Techniques
Beaudet, A., & Gilissen, E. (2017) · Springer eBooks · doi:10.1007/978-4-431-56582-6_4 · Cited by 14
Parametric Representation of Cortical Surface Folding Based on Polynomials
Zhang, T., Guo, L., Li, G., Nie, J., & Liu, T. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04271-3_23 · Cited by 15
Spontaneous activity in the visual cortex is organized by visual streams
Lu, K., Jeong, J. Y., Wen, H., & Liu, Z. (2017) · Human Brain Mapping · doi:10.1002/hbm.23687 · Cited by 16
Volumetric and surface characteristics of gray matter in adult dyslexia and dyscalculia
Moreau, D., Wiebels, K., Wilson, A. J., & Waldie, K. E. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.02.002 · Cited by 15
Anterior Temporal Lobe Morphometry Predicts Categorization Ability
Garcin, B., Urbanski, M., de Schotten, M. T., Lévy, R., & Emmanuelle Volle, C. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00036 · Cited by 14
Schellekens, W., Bakker, C., Ramsey, N. F., & Petridou, N. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009955 · Cited by 14
Dinse, J., Wähnert, M., Tardif, C. L., Andreas Schäfer, A., Geyer, S., Turner, R., & Bazin, P. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40763-5_7 · Cited by 14
Sulcus Identification and Labeling
Mangin, J., Perrot, M., Operto, G., Cachia, A., Fischer, C., Lefèvre, J., & Rivière, D. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00307-9 · Cited by 14
NAS-optimized topology-preserving transfer learning for differentiating cortical folding patterns
Liu, S., Ge, F., Zhao, L., Wang, T., Ni, D., & Liu, T. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102316 · Cited by 15
Pfannmöller, J. P., Schweizer, R., & Lotze, M. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24980 · Cited by 14
Current Status and Future Perspectives of Magnetic Resonance High-Field Imaging: A Summary
Prabhakaran, V., Nair, V. A., Austin, B. P., La, C., Gallagher, T. A., Wu, Y., McLaren, D. G., Xu, G., Turski, P. A., & Rowley, H. A. (2012) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2012.02.012 · Cited by 14
Pizzagalli, F., Auzias, G., Delon‐Martin, C., & Dojat, M. (2013) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2013.05.005 · Cited by 14
Mangin, J.-F., Auzias, G., Coulon, O., Sun, Z. Y., Rivière, D., & Régis, J. M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00198-6 · Cited by 14
A Dynamic Skull Model for Simulation of Cerebral Cortex Folding
Chen, H., Guo, L., Nie, J., Zhang, T., Hu, X., & Liu, T. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15745-5_51 · Cited by 14
Rosen, A., Chen, D. Q., Hayes, D. J., Davis, K. D., & Hodaie, M. (2015) · Stereotactic and Functional Neurosurgery · doi:10.1159/000380826 · Cited by 14
Agenesis of the Corpus Callosum and Aicardi Syndrome: A Neuroimaging and Clinical Comparison
Govil‐Dalela, T., Kumar, A., Agarwal, R. L., & Chugani, H. T. (2017) · Pediatric Neurology · doi:10.1016/j.pediatrneurol.2016.12.002 · Cited by 17
Lipkin, B., Tuckute, G., Affourtit, J., Small, H., Mineroff, Z., Kean, H., Jouravlev, O., Rakocevic, L. I., Pritchett, B., Siegelman, M., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.06.483177 · Cited by 14
Multivariate Concavity Amplitude Index (MCAI) for characterizing Heschl's gyrus shape
da Rocha, J. L. D., Kepinska, O., Schneider, P. T., Benner, J., Degano, G., Schneider, L. M., & Golestani, N. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120052 · Cited by 16
Cortex2vector: anatomical embedding of cortical folding patterns
Zhang, L., Zhao, L., Liu, D., Wu, Z., Wang, X., Liu, T., & Zhu, D. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac465 · Cited by 13
A sub+cortical fMRI‐based surface parcellation
Lewis, J. D., Bezgin, G., Fonov, V., Collins, D. L., & Evans, A. C. (2021) · Human Brain Mapping · doi:10.1002/hbm.25675 · Cited by 12
Imaging hippocampal subregions with in vivo MRI: advances and limitations
van Strien, N. M., Widerøe, M., van de Berg, W. D. J., & Uylings, H. B. M. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3085-c1 · Cited by 13
Mørch-Johnsen, L. E., Nerland, S., Jørgensen, K. N., Osnes, K., Hartberg, C. B., Andreassen, O. A., Melle, I. S., Nesvåg, R., & Agartz, I. (2018) · Bipolar Disorders · doi:10.1111/bdi.12627 · Cited by 12
Ghai, S., Maso, F. D., Ogourtsova, T., Xifra‐Porxas, A., Villeneuve, M., Penhune, V. B., Boudrias, M., Baillet, S., & Lamontagne, A. (2021) · Brain Sciences · doi:10.3390/brainsci11050666 · Cited by 12
Electroencephalogram Source Imaging and Brain Network Based Natural Grasps Decoding
Xu, B., Deng, L., Zhang, D., Xue, M., Li, H., Zeng, H., & Song, A. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.797990 · Cited by 12
Nowinski, W. L. (2022) · Journal of Anatomy · doi:10.1111/joa.13695 · Cited by 12
Individual differences in reading skill and language lateralisation: A cluster analysis
Chiarello, C., Welcome, S. E., & Leonard, C. M. (2011) · Laterality Asymmetries of Body Brain and Cognition · doi:10.1080/1357650x.2011.561860 · Cited by 12
Bayram, A., Karahan, E., Bılgıç, B., Ademoğlu, A., & Demıralp, T. (2016) · Vision Research · doi:10.1016/j.visres.2016.09.001 · Cited by 12
Solopchuk, O., Alamia, A., Dricot, L., Duqué, J., & Zénon, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.013 · Cited by 12
Fitness Level Influences White Matter Microstructure in Postmenopausal Women
Harasym, D., Turco, C. V., Nicolini, C., Toepp, S. L., Jenkins, E. M., Gibala, M. J., Noseworthy, M. D., & Nelson, A. J. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.00129 · Cited by 14
Metadata
- Authors
- Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B. T. T., Mohlberg, H., Amunts, K., & Zilles, K.
- Affiliations
- Harvard University (US)
- McGovern Institute for Brain Research (US)
- Massachusetts Institute of Technology (US)
- Forschungszentrum Jülich (DE)
- Corresponding author
- Fischl, B.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-12-12
- Volume
- 18
- Issue
- 8
- Pages
- 1973-1980
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC2474454
- OpenAlex
- W2154281919
- Cited by
- 737
- References
- 56
- Citations by year
- 2026: 18 · 2025: 22 · 2024: 34 · 2023: 38 · 2022: 45 · 2021: 58 · 2020: 52 · 2019: 44 · 2018: 55 · 2017: 56 · 2016: 41 · 2015: 40 · 2014: 32 · 2013: 48 · 2012: 42
- FWCI
- 19.50
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Cerebral Cortex (publishedVersion, cc-by-nc)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- JuSER (Forschungszentrum Jülich) (submittedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Funders
- Deutsche Forschungsgemeinschaft
- National Institutes of Health (BIRN002, RR14075, EB005149)
- National Institute of Mental Health
- National Institute of Neurological Disorders and Stroke (R01NS052585)
- National Institute of Biomedical Imaging and Bioengineering (R01EB001550, R01EB006758, U54EB005149)
- National Center for Research Resources (BIRN002, U24 RR021382, P41-RR-14075, RR 14075, U24RR021382, R01 RR1659401A1, R01-RR16594, P41RR014075, BIRN002, R01RR016594)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- cortical folding, Brodmann areas, cytoarchitecture, cortical hierarchy, cortical development, postmortem brain, surface-based analysis
- MeSH terms
- Brain Mapping, Cerebral Cortex, Humans, Predictive Value of Tests
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