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 301–400 of 736
Functional Architecture of Cerebral Cortex During Naturalistic Movie-Watching
Rajimehr, R., Xu, H., Farahani, A., Kornblith, S., Duncan, J., & Desimone, R. (2022) · Neuron · doi:10.1016/j.neuron.2024.10.005 · Cited by 45
Disorganized Patterns of Sulcal Position in Fetal Brains with Agenesis of Corpus Callosum
Tarui, T., Madan, N., Farhat, N., Kitano, R., Tanritanir, A. C., Graham, G., Gagoski, B. A., Craig, A. K., Rollins, C. K., Ortinau, C. M., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx191 · Cited by 42
Hotier, S., Leroy, F., Boisgontier, J., Laidi, C., Mangin, J.-F., Delorme, R., Bolognani, F., Czech, C., Bouquet, C., Toledano, E., et al. (2017) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.12814 · Cited by 40
Localizing the human primary auditory cortex in vivo using structural MRI
Wasserthal, C., Brechmann, A., Stadler, J., Fischl, B. R., & Engel, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.046 · Cited by 39
Self-citationIs orbital volume associated with eyeball and visual cortex volume in humans?
Pearce, E., & Bridge, H. (2013) · Annals of Human Biology · doi:10.3109/03014460.2013.815272 · Cited by 39
Bastiani, M., Oros‐Peusquens, A., Seehaus, A., Brenner, D., Möllenhoff, K., Celik, A., Felder, J., Bratzke, H., Shah, N. J., Galuske, R. A. W., et al. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00487 · Cited by 39
Denoising scanner effects from multimodal MRI data using linked independent component analysis
Li, H., Smith, S. M., Gruber, S. A., Lukas, S. E., Silveri, M. M., Hill, K. P., Killgore, W. D. S., & Nickerson, L. D. H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116388 · Cited by 41
Chen, X. J., Affourtit, J., Ryskin, R. A., Regev, T. I., Norman-Haignere, S., Jouravlev, O., Malik-Moraleda, S., Kean, H., Varley, R. A., & Fedorenko, E. G. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.01.446439 · Cited by 39
de Sousa, A. A., Beaudet, A., Calvey, T., Bardo, A., Benoît, J., Charvet, C. J., Dehay, C., Gómez‐Robles, A., Gunz, P., Heuer, K., et al. (2023) · Communications Biology · doi:10.1038/s42003-023-04803-4 · Cited by 39
Robinson, E. C., Jbabdi, S., Andersson, J., Smith, S. M., Glasser, M. F., Essen, D. C. V., Burgess, G., Harms, M. P., Barch, D. M., & Jenkinson, M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-38868-2_40 · Cited by 38
Borders, map clusters, and supra-areal organization in visual cortex
Buckner, R. L., & Yeo, B. T. T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.036 · Cited by 38
Self-citationMechanical morphogenesis and the development of neocortical organisation
Foubet, O., Trejo, M., & Toro, R. (2015) · Cortex · doi:10.1016/j.cortex.2018.03.005 · Cited by 41
Paunov, A. M., Blank, I., Jouravlev, O., Mineroff, Z., Gallée, J., & Fedorenko, E. G. (2022) · Neurobiology of Language · doi:10.1162/nol_a_00071 · Cited by 39
Cheng, Q., Roth, A., Halgren, E., Klein, D., Chen, J., & Mayberry, R. I. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2215423120 · Cited by 38
Semi-automated method for delineation of landmarks on models of the cerebral cortex
Shattuck, D. W., Joshi, A. A., Pantazis, D., Kan, E., Dutton, R. A., Sowell, E. R., Thompson, P. M., Toga, A. W., & Leahy, R. M. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2008.12.025 · Cited by 37
Germanaud, D., Lefèvre, J., Fischer, C., Bintner, M., Curie, A., Portes, V. D., D, S. E. M., Elmaleh, M., Lamblin, D., Passemard, S., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.07.057 · Cited by 40
Krishnadas, R., McLean, J., Batty, G. D., Burns, H., Deans, K. A., Ford, I., McConnachie, A., McGinty, A., McLean, J. S., Millar, K., et al. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.04.012 · Cited by 37
The relationship between the presence of sulcal pits and intelligence in human brains
Im, K., Choi, Y. Y., Yang, J., Lee, K. H., Kim, S. I., Grant, P. E., & Lee, J. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.080 · Cited by 36
Visual analytics of brain networks
Li, K., Guo, L., Faraco, C., Zhu, D., Chen, H., Yuan, Y., Lv, J., Deng, F., Jiang, X., Zhang, T., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.075 · Cited by 40
A lateral-to-mesial organization of human ventral visual cortex at birth
Barttfeld, P., Abboud, S., Lagercrantz, H., Ådén, U., Padilla, N., Edwards, A. D., Cohen, L., Sigman, M., Dehaene, S., & Dehaene‐Lambertz, G. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1676-3 · Cited by 34
Smith, S. M., Duff, E. P., Groves, A. R., Nichols, T. E., Jbabdi, S., Westlye, L. T., Tamnes, C. K., Engvig, A., Walhovd, K. B., Fjell, A. M., et al. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.2912-18.2019 · Cited by 39
Morton, S. U., Maleyeff, L., Wypij, D., Yun, H. J., Newburger, J. W., Bellinger, D. C., Roberts, A. E., Rivkin, M. J., Seidman, J. G., Seidman, C. E., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz101 · Cited by 35
Türközer, H. B., Lizano, P. L., Adhan, I. K., Ivleva, E. I., Lutz, O., Zeng, V., Zeng, A., Raymond, N., Bannai, D., Lee, A., et al. (2022) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.03.023 · Cited by 36
Subject-level measurement of local cortical coupling
Vandekar, S. N., Shinohara, R. T., Raznahan, A., Hopson, R. D., Roalf, D. R., Ruparel, K., Gur, R. C., Gur, R. E., & Satterthwaite, T. D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.03.002 · Cited by 27
Melbourne, A., Kendall, G. S., Cardoso, M. J., Gunny, R., Robertson, N. J., Marlow, N., & Sebastien Ourselin, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.048 · Cited by 37
Anatomical correlates of face patches in macaque inferotemporal cortex
Arcaro, M. J., Mautz, T. T., Berezovskii, V. K., & Livingstone, M. S. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2018780117 · Cited by 36
Profant, O., Škoch, A., Tintěra, J., Svobodová, V., Kuchárová, D., Burianova, J. S., & Syka, J. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.553461 · Cited by 35
Diedrichsen, J., Wiestler, T., & Ejaz, N. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.062 · Cited by 35
Caspers, S., Amunts, K., & Zilles, K. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-374236-0.10028-8 · Cited by 38
Self-citationSprung‐Much, T., & Petrides, M. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1733-y · Cited by 34
Sex classification using long‐range temporal dependence of resting‐state functional MRI time series
Dhamala, E., Jamison, K. W., Sabuncu, M. R., & Kuceyeski, A. F. (2020) · Human Brain Mapping · doi:10.1002/hbm.25030 · Cited by 35
Parietal connectivity mediates multisensory facilitation
Brang, D., Taich, Z. J., Hillyard, S. A., Grabowecky, M., & Ramachandran, V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.047 · Cited by 34
Mapping the Integration of Sensory Information across Fingers in Human Sensorimotor Cortex
Arbuckle, S. A., Pruszynski, J. A., & Diedrichsen, J. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2152-21.2022 · Cited by 33
Morphological evolution of language-relevant brain areas
Gallardo, G., Eichner, C., Sherwood, C. C., Hopkins, W. D., Anwander, A., & Friederici, A. D. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002266 · Cited by 33
Jbabdi, S., & Behrens, T. E. J. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12271 · Cited by 31
Régis, J. M., Tamura, M., Park, M. C., McGonigal, A., Rivière, D., Coulon, O., Bartoloméi, F., Girard, N. J., Figarella-Branger, D. F., Chauvel, P., et al. (2011) · Neurosurgery · doi:10.1227/neu.0b013e318212bb1a · Cited by 33
Mechanism of Consistent Gyrus Formation: an Experimental and Computational Study
Zhang, T., Razavi, M. J., Li, X., Chen, H., Liu, T., & Wang, X. (2016) · Scientific Reports · doi:10.1038/srep37272 · Cited by 33
Neuronal baseline shifts underlying boundary setting during free recall
Norman, Y., Yeagle, E. M., Harel, M., Mehta, A. D., & Malach, R. (2017) · Nature Communications · doi:10.1038/s41467-017-01184-1 · Cited by 36
Regional Alterations in Cortical Sulcal Depth in Living Fetuses with Down Syndrome
Yun, H. J., Perez, J. D. R., Sosa, P., Valdés, J. A., Madan, N., Kitano, R., Akiyama, S., Skotko, B. G., Feldman, H. A., Bianchi, D. W., et al. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhaa255 · Cited by 33
Osada, T., Ogawa, A., Suda, A., Nakajima, K., Tanaka, M., Oka, S., Kamagata, K., Aoki, S., Oshima, Y., Tanaka, S., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109732 · Cited by 33
van der Burght, C. L., Numssen, O., Schlaak, B., Goucha, T., & Hartwigsen, G. (2022) · Human Brain Mapping · doi:10.1002/hbm.26086 · Cited by 32
Keller, S. S., Deppe, M., Herbin, M., & Gilissen, E. (2011) · The Journal of Comparative Neurology · doi:10.1002/cne.22747 · Cited by 33
Automatic sulcal line extraction on cortical surfaces using geodesic path density maps
Troter, A. L., Auzias, G., & Coulon, O. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.021 · Cited by 33
Diffeomorphic Sulcal Shape Analysis on the Cortex
Joshi, S. H., Cabeen, R. P., Joshi, A. A., Sun, B., Dinov, I. D., Narr, K. L., Toga, A. W., & Woods, R. P. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2186975 · Cited by 32
Connectivity‐Based Parcellation of the Cortical Mantle Usingq‐Ball Diffusion Imaging
Perrin, M., Cointepas, Y., Cachia, A., Poupon, C., Thirion, B., Rivière, D., Cathier, P., Kouby, V. E., Constantinesco, A., Bihan, D. L., et al. (2008) · International Journal of Biomedical Imaging · doi:10.1155/2008/368406 · Cited by 40
Bedini, M., Olivetti, E., Avesani, P., & Baldauf, D. (2023) · Brain Structure and Function · doi:10.1007/s00429-023-02641-y · Cited by 35
Inter-subject neural code converter for visual image representation
Yamada, K., Miyawaki, Y., & Kamitani, Y. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.059 · Cited by 29
Spatiotopic updating across saccades revealed by spatially-specific fMRI adaptation
Fairhall, S. L., Schwarzbach, J. V., Lingnau, A., van Koningsbruggen, M. G., & Melcher, D. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.071 · Cited by 31
Retinothalamic White Matter Abnormalities in Amblyopia
Allen, B., Schmitt, M. A., Kushner, B. J., & Rokers, B. (2018) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.17-22930 · Cited by 31
Meeker, T. J., Veldhuijzen, D. S., Keaser, M. L., Gullapalli, R. P., & Greenspan, J. D. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.594588 · Cited by 31
Matarasso, A. K., Rieke, J. D., White, K. D., Yusufali, M. M., & Daly, J. J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0250431 · Cited by 34
Mayer, A. R., Hanlon, F. M., Dodd, A. B., Ling, J. M., Klimaj, S. D., & Meier, T. B. (2015) · Human Brain Mapping · doi:10.1002/hbm.22930 · Cited by 31
Novel Surface-Smoothing Based Local Gyrification Index
Lebed, E., Jacova, C., Wang, L., & Beg, M. F. (2012) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2012.2230640 · Cited by 31
Microstructural parcellation of the human brain
Fischl, B. R., & Sereno, M. I. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.036 · Cited by 31
Self-citationExploring 3‐hinge gyral folding patterns among HCP Q3 868 human subjects
Zhang, T., Chen, H., Razavi, M. J., Li, Y., Ge, F., Guo, L., Wang, X., & Liu, T. (2018) · Human Brain Mapping · doi:10.1002/hbm.24237 · Cited by 31
Lebenberg, J., Labit, M., Auzias, G., Mohlberg, H., Fischer, C., Rivière, D., Duchesnay, É., Kabdebon, C., Leroy, F., Labra, N., et al. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1735-9 · Cited by 31
Self-citationBrain Transfer: Spectral Analysis of Cortical Surfaces and Functional Maps
Lombaert, H., Arcaro, M. J., & Ayache, N. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-19992-4_37 · Cited by 30
Yu, L., Yin, X., Dai, C., Liang, M., Wei, L., Li, C., Zhang, J., Xie, B., & Wang, J. (2014) · Brain Research · doi:10.1016/j.brainres.2014.09.005 · Cited by 29
Barrès, V., Simons, A., & Arbib, M. A. (2012) · Neural Networks · doi:10.1016/j.neunet.2012.09.021 · Cited by 29
Li, H., Cao, X., Zhu, X.-T., Zhang, A., Hou, X., Xu, Y. J., Zuo, X., & Zhang, K. (2014) · BioMed Research International · doi:10.1155/2014/374828 · Cited by 30
Temporal Patterns of Emergence and Spatial Distribution of Sulcal Pits During Fetal Life
Yun, H. J., Vasung, L., Tarui, T., Rollins, C. K., Ortinau, C. M., Grant, P. E., & Im, K. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa053 · Cited by 32
A probabilistic atlas of finger dominance in the primary somatosensory cortex
O’Neill, G. C., Sengupta, A., Asghar, M., Barratt, E. L., Besle, J., Schluppeck, D., Francis, S., & Sánchez-Panchuelo, R.-M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116880 · Cited by 30
Schellekens, W., Thio, M., Badde, S., Winawer, J. A., Ramsey, N. F., & Petridou, N. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02309-5 · Cited by 29
Cytoarchitecture and Maps of the Human Cerebral Cortex
Zilles, K., Palomero‐Gallagher, N., & Amunts, K. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00207-4 · Cited by 31
Self-citationLadda, A. M., Pfannmöller, J. P., Kalisch, T., Roschka, S., Platz, T., Dinse, H. R., & Lotze, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0084402 · Cited by 30
Attention reorganizes connectivity across networks in a frequency specific manner
Kwon, S., Watanabe, M., Fischer, E., & Bartels, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.014 · Cited by 28
Tuckute, G., Paunov, A. M., Kean, H., Small, H., Mineroff, Z., Blank, I., & Fedorenko, E. G. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2022.108184 · Cited by 36
Lyu, I., Seong, J., Shin, S. Y., Im, K., Roh, J. H., Kim, M.-J., Kim, G. H., Kim, J. H., Evans, A. C., Na, D. L., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.03.076 · Cited by 29
Structure of Population Activity in Primary Motor Cortex for Single Finger Flexion and Extension
Arbuckle, S. A., Weiler, J., Kirk, E. A., Rice, C. L., Schieber, M. H., Pruszynski, J. A., Ejaz, N., & Diedrichsen, J. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0999-20.2020 · Cited by 27
Perceptual stability reflected in neuronal pattern similarities in human visual cortex
Broday-Dvir, R., Norman, Y., Harel, M., Mehta, A. D., & Malach, R. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112614 · Cited by 28
Adhan, I. K., Lizano, P. L., Bannai, D., Lutz, O., Dhaliwal, K., Zeng, V., Miewald, J. M., Montrose, D. M., & Keshavan, M. S. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112957 · Cited by 28
Ngo, G. N., Haak, K. V., Beckmann, C. F., & Menon, R. S. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118031 · Cited by 28
Automated MRI parcellation of the frontal lobe
Ranta, M. E., Chen, M., Crocetti, D., Prince, J. L., Subramaniam, K., Fischl, B. R., Kaufmann, W. E., & Mostofsky, S. H. (2013) · Human Brain Mapping · doi:10.1002/hbm.22309 · Cited by 28
Self-citationLiu, J., Zeng, D., Guo, R., Lu, M., Wu, F., & Wang, J. (2020) · Cluster Computing · doi:10.1007/s10586-020-03199-8 · Cited by 28
Sulcation of the intraparietal sulcus is related to symbolic but not non-symbolic number skills
Roëll, M., Cachia, A., Matejko, A. A., Houdé, O., Ansari, D., & Borst, G. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100998 · Cited by 28
The Role of Visual Experience in Individual Differences of Brain Connectivity
Sen, S., Khalsa, N. N., Tong, N., Ovadia‐Caro, S., Wang, X., Bi, Y., & Striem-Amit, E. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1700-21.2022 · Cited by 30
Intact finger representation within primary sensorimotor cortex of musician’s dystonia
Sadnicka, A., Wiestler, T., Butler, K., ALTENMÜLLER, E. O., Edwards, M. J., Ejaz, N., & Diedrichsen, J. (2022) · Brain · doi:10.1093/brain/awac356 · Cited by 28
Automatic extraction of sulcal lines on cortical surfaces based on anisotropic geodesic distance
Seong, J., Im, K., Yoo, S. W., Seo, S. W., Na, D. L., & Lee, J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.013 · Cited by 28
Through a glass darkly: Some insights on change talk via magnetoencephalography.
Houck, J. M., Moyers, T. B., & Tesche, C. D. (2012) · Psychology of Addictive Behaviors · doi:10.1037/a0029896 · Cited by 30
Shiell, M. M., & Zatorre, R. J. (2016) · Hearing Research · doi:10.1016/j.heares.2016.06.011 · Cited by 26
Stability of representational geometry across a wide range of fMRI activity levels
Arbuckle, S. A., Yokoi, A., Pruszynski, J. A., & Diedrichsen, J. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.11.002 · Cited by 31
Hippocampal-neocortical interactions sharpen over time for predictive actions
Hindy, N. C., Avery, E. W., & Turk‐Browne, N. B. (2019) · Nature Communications · doi:10.1038/s41467-019-12016-9 · Cited by 30
Development of structural MR brain imaging protocols to study genetics and maturation
Kochunov, P., & Davis, M. D. (2009) · Methods · doi:10.1016/j.ymeth.2009.08.002 · Cited by 28
Top-down activation of the visuo-orthographic system during spoken sentence processing
Planton, S., Chanoine, V., Sein, J., Anton, J., Nazarian, B., Pallier, C., & Pattamadilok, C. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116135 · Cited by 26
Constructing a Dictionary of Human Brain Folding Patterns
Sun, Z. Y., Perrot, M., Tucholka, A., Rivière, D., & Mangin, J. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04271-3_15 · Cited by 27
Model-driven parameterization of the cortical surface for localization and inter-subject matching
Clouchoux, C., Rivière, D., Mangin, J., Operto, G., Régis, J. M., & Coulon, O. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.12.048 · Cited by 27
Fast Brain Matching with Spectral Correspondence
Lombaert, H., Grady, L. J., Polimeni, J. R., & Farida Cheriet, A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-22092-0_54 · Cited by 26
Tomyshev, A. S., Лебедева, И. С., Akhadov, T. A., Omelchenko, M. A., Rumyantsev, A. O., & Kaleda, V. G. (2019) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2019.05.002 · Cited by 26
Parcellations and Connectivity Patterns in Human and Macaque Cerebral Cortex
Essen, D. C. V., Donahue, C. J., Dierker, D. L., & Glasser, M. F. (2016) · Research and perspectives in neurosciences · doi:10.1007/978-3-319-27777-6_7 · Cited by 26
Bhattarai, A., Chen, Z., Ward, P. G. D., Talman, P. S., Mathers, S., Phan, T. G., Chapman, C., Howe, J. R., Lee, S., Lie, Y., et al. (2020) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-20-187 · Cited by 25
fMRI reveals language-specific predictive coding during naturalistic sentence comprehensionPreprint
Shain, C., Blank, I., van Schijndel, M., Schuler, W., & Fedorenko, E. G. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/717512 · Cited by 26
Tymofiyeva, O., Ziv, E., Barkovich, A. J., Hess, C. P., & Xu, D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096196 · Cited by 25
Ngamsombat, C., Tian, Q., Fan, Q., Russo, A. W., Machado, N., Polackal, M. N., George, I. C., Witzel, T., Klawiter, E. C., & Huang, S. Y. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102293 · Cited by 26
Soldati, M., Mikkonen, M., Laakso, I., Murakami, T., Ugawa, Y., & Hirata, A. (2018) · Physics in Medicine and Biology · doi:10.1088/1361-6560/aae932 · Cited by 25
Lumaca, M., Dietz, M. J., Hansen, N. C., Quiroga‐Martinez, D. R., & Vuust, P. (2020) · Human Brain Mapping · doi:10.1002/hbm.25269 · Cited by 25
Blank, I., Kiran, S., & Fedorenko, E. G. (2017) · Cognitive Neuropsychology · doi:10.1080/02643294.2017.1402756 · Cited by 25
Sharma, A. A., & Szaflarski, J. P. (2021) · Epilepsy & Behavior Reports · doi:10.1016/j.ebr.2021.100496 · Cited by 24
Yun, H. J., Lee, H. J., Lee, J. Y., Tarui, T., Rollins, C. K., Ortinau, C. M., Feldman, H. A., Grant, P. E., & Im, K. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119629 · Cited by 24
Downey, J. E., Schone, H. R., Foldes, S. T., Greenspon, C. M., Liu, F., Verbaarschot, C., Biro, D., Satzer, D. I., Moon, C., Coffman, B. A., et al. (2024) · Human Brain Mapping · doi:10.1002/hbm.70118 · Cited by 25
Shape Analysis with Overcomplete Spherical Wavelets
Yeo, B. T. T., Yu, P., Grant, P. E., Fischl, B. R., & Golland, P. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-85988-8_56 · Cited by 24
Self-citation
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