The DOI matches its Crossref record; 39 of the 41 references it cites were found in a registry or an index.
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
Open accessAbstract
Precise localization of sulco-gyral structures of the human cerebral cortex is important for the interpretation of morpho-functional data, but requires anatomical expertise and is time consuming because of the brain's geometric complexity. Software developed to automatically identify sulco-gyral structures has improved substantially as a result of techniques providing topologically correct reconstructions permitting inflated views of the human brain. Here we describe a complete parcellation of the cortical surface using standard internationally accepted nomenclature and criteria. This parcellation is available in the FreeSurfer package. First, a computer-assisted hand parcellation classified each vertex as sulcal or gyral, and these were then subparcellated into 74 labels per hemisphere. Twelve datasets were used to develop rules and algorithms (reported here) that produced labels consistent with anatomical rules as well as automated computational parcellation. The final parcellation was used to build an atlas for automatically labeling the whole cerebral cortex. This atlas was used to label an additional 12 datasets, which were found to have good concordance with manual labels. This paper presents a precisely defined method for automatically labeling the cortical surface in standard terminology.
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?
The cited source says what the claim attributes to it.
In the citing paper
“The most popularly used cortical parcellation is the Freesurfer Desikan-Killiany cortical parcellation (Desikan et al., 2006; Fischl, 2012), while many other cortical parcellation schemes have also been widely used (Destrieux et al., 2010; Shattuck et al., 2008; Tzourio-Mazoyer et al., 2002).”
From Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review (2022) · cites this paper as Destrieux et al., 2010
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
Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
Self-citationCortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
Self-citationFischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Self-citationCortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
Self-citationTalairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058
Automatically Parcellating the Human Cerebral Cortex
Fischl, B. R. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg087 · Cited by 4,208
Self-citationA hybrid approach to the skull stripping problem in MRI
Ségonne, F., Dale, A. M., Busa, E., Glessner, M., Salat, D. H., Hahn, H., & Fischl, B. R. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.03.032 · Cited by 2,227
Self-citationDale, A. M., & Sereno, M. I. (1993) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1993.5.2.162 · Cited by 2,003
Self-citationConstruction of a 3D probabilistic atlas of human cortical structures
Shattuck, D. W., Mirza, M., Adisetiyo, V., Hojatkashani, C., Salamon, G., Narr, K. L., Poldrack, R. A., Bilder, R. M., & Toga, A. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.031 · Cited by 1,208
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
Research works printed but not linked: 2
- Destrieux, 1998, Variability of the human brain studied on the flattened cortical surface, Soc. Neurosci., 1164
- Zilles, 1997, Quantitative analysis of sulci in the human cerebral cortex: development, regional heterogeneity, gender difference, asymetry, intersubject variability and cortical architecture, Hum. Brain Mapp., 5, 218, 10.1002/(SICI)1097-0193(1997)5:4<218::AID-HBM2>3.0.CO;2-6 · DOI
Cited by
Sorted by citations
Items 801–900 of 1,008
Brain age prediction across the human lifespan using multimodal MRI data
Guan, S., Jiang, R., Meng, C., & Biswal, B. B. (2023) · GeroScience · doi:10.1007/s11357-023-00924-0 · Cited by 32
Li, Z., Li, J., Wang, N., Lv, Y., Zou, Q., & Wang, J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120434 · Cited by 29
Liem, F., Hurschler, M. A., Jäncke, L., & Meyer, M. E. (2013) · Human Brain Mapping · doi:10.1002/hbm.22291 · Cited by 37
Yun, J., Kim, S. N., Lee, T. Y., Chon, M., & Kwon, J. S. (2015) · Human Brain Mapping · doi:10.1002/hbm.23083 · Cited by 29
Neurodevelopmental correlates of proneness to guilt and shame in adolescence and early adulthood
Whittle, S., Liu, K., Bastin, C., Harrison, B. J., & Davey, C. G. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.02.001 · Cited by 28
Orbitofrontal Cortex Activity and Connectivity Predict Future Depression Symptoms in Adolescence
Jin, J., Narayanan, A., Perlman, G., Luking, K. R., DeLorenzo, C., Hajcak, G., Klein, D. N., Kotov, R., & Mohanty, A. (2017) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.02.002 · Cited by 31
Impact of Zika Virus on adult human brain structure and functional organization
Bido-Medina, R. O., Wirsich, J., Rodríguez, M., Oviedo, J., Miches, I., Bidó, P., Tusen, L., Stoeter, P., & Sadaghiani, S. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.575 · Cited by 29
Duma, G. M., Mento, G., Cutini, S., Sessa, P., Baillet, S., Brigadoi, S., & Dell’Acqua, R. (2019) · Cortex · doi:10.1016/j.cortex.2019.09.009 · Cited by 30
Neuschwander, P., Hänggi, J., Zekveld, A. A., & Meyer, M. E. (2019) · Hearing Research · doi:10.1016/j.heares.2019.107823 · Cited by 29
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
Altered fronto-striatal fiber topography and connectivity in obsessive-compulsive disorder
Nakamae, T., Sakai, Y., Abe, Y., Nishida, S., Fukui, K., Yamada, K., Kubota, M., Denys, D., & Narumoto, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0112075 · Cited by 28
In vivo high-resolution 7 Tesla MRI shows early and diffuse cortical alterations in CADASIL
De Guio, F., Reyes, S., Vignaud, A., Duering, M., Ropele, S., Duchesnay, E., Chabriat, H., & Jouvent, E. (2014) · PLoS ONE · doi:10.1371/journal.pone.0106311 · Cited by 28
Signatures of Electrical Stimulation Driven Network Interactions in the Human Limbic System
Valencia, G. O., Gregg, N. M., Worrell, G. A., Huang, H., Lundstrom, B. N., Brinkmann, B. H., Attia, T. P., Gompel, J. J. V., In, M., In, M., et al. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.2201-22.2023 · Cited by 28
Weissbart, H., & Martin, A. E. (2024) · Nature Communications · doi:10.1038/s41467-024-53128-1 · Cited by 40
High-level visual prediction errors in early visual cortex
Richter, D., Kietzmann, T. C., & de Lange, F. P. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002829 · Cited by 32
Graph-Based Inter-Subject Pattern Analysis of fMRI Data
Takerkart, S., Auzias, G., Thirion, B., & Ralaivola, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104586 · Cited by 32
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-citationDesmidt, T., Brizard, B., Dujardin, P., Ternifi, R., Réméniéras, J.-P., Patat, F., Andersson, F., Cottier, J., Vierron, E., Gissot, V., et al. (2017) · Neuropsychopharmacology · doi:10.1038/npp.2017.113 · Cited by 28
Toward direct MRI of neuro‐electro‐magnetic oscillations in the human brain
Truong, T., Roberts, K., Woldorff, M. G., & Song, A. W. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27654 · Cited by 28
Sundaram, P., Luessi, M., Bianciardi, M., Stufflebeam, S. M., Hämäläinen, M., & Solo, V. (2019) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2019.2962517 · Cited by 26
Krzemiński, D., Masuda, N., Hamandi, K., Singh, K. D., Routley, B. C., & Zhang, J. (2020) · Network Neuroscience · doi:10.1162/netn_a_00125 · Cited by 26
Principles of temporal association cortex organisation as revealed by connectivity gradients
Freches, G. B., Haak, K., Bryant, K. L., Schurz, M., Beckmann, C., & Mars, R. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02047-0 · Cited by 33
Individual Variation of Human Cortical Structure Is Established in the First Year of Life
Gilmore, J. H., Langworthy, B., Girault, J. B., Fine, J. P., Jha, S. C., Kim, S. H., Cornea, E. A., & Styner, M. A. (2020) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2020.05.012 · Cited by 27
Causal Inference in Audiovisual Perception
Mihalik, Á., & Noppeney, U. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.0051-20.2020 · Cited by 33
Vorderwülbecke, B. J., Carboni, M., Tourbier, S., Brunet, D., Seeber, M., Spinelli, L., Seeck, M., & Vulliémoz, S. (2020) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.09.018 · Cited by 28
Liu, J., Zeng, D., Guo, R., Lu, M., Wu, F., & Wang, J. (2020) · Cluster Computing · doi:10.1007/s10586-020-03199-8 · Cited by 28
Hansen, C. B., Yang, Q., Lyu, I., Rheault, F., Kerley, C. I., Chandio, B. Q., Fadnavis, S., Williams, O. A., Shafer, A. T., Resnick, S. M., et al. (2020) · Neuroinformatics · doi:10.1007/s12021-020-09497-1 · Cited by 29
Jog, M., Kim, E., Anderson, C., Kubicki, A., Kayathi, R., Jann, K., Yan, L., Leaver, A. M., Hellemann, G., Iacoboni, M., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01264-3 · Cited by 29
Li, G., Liu, Y., Zheng, Y., Wu, Y., Li, D., Liang, X., Chen, Y., Cui, Y., Yap, P., Qiu, S., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102758 · Cited by 27
Woodburn, M., Bricken, C. L., Wu, Z., Li, G., Wang, L., Lin, W., Sheridan, M. A., & Cohen, J. R. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118232 · Cited by 32
Tinnermann, A., Sprenger, C., & Büchel, C. (2022) · eLife · doi:10.7554/elife.74293 · Cited by 31
Lee, S., Shin, H., Kim, M., & Lee, J. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.120058 · Cited by 28
Real-Time MEG Source Localization Using Regional Clustering
Dinh, C., Strohmeier, D., Luessi, M., Güllmar, D., Baumgarten, D., Haueisen, J., & Hämäläinen, M. (2015) · Brain Topography · doi:10.1007/s10548-015-0431-9 · Cited by 28
Shiell, M. M., & Zatorre, R. J. (2016) · Hearing Research · doi:10.1016/j.heares.2016.06.011 · Cited by 26
Resting state brain dynamics and its transients: a combined TMS-EEG study
Bonnard, M., Chen, S., Gaychet, J., Carrère, M., Woodman, M., Giusiano, B., & Jirsa, V. (2016) · Scientific Reports · doi:10.1038/srep31220 · Cited by 28
Kandylaki, K. D., Nagels, A., Tune, S., Kircher, T. T. J., Wiese, R., Schlesewsky, M., & Bornkessel‐Schlesewsky, I. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4100-15.2016 · Cited by 29
Manzano-Crespo, M., Atienza, M., & Cantero, J. L. (2019) · Translational Neurodegeneration · doi:10.1186/s40035-019-0174-8 · Cited by 28
Hanson, R. L. W., Gale, R. P., Gouws, A. D., Airody, A., Scott, M. T. W., Akthar, F., Waterson, S., Wells, M. T., Wright, A. J., Bell, K. J., et al. (2019) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.18-25823 · Cited by 28
Lateralized parietotemporal oscillatory phase synchronization during auditory selective attention
Huang, S., Chang, W., Belliveau, J. W., Hämäläinen, M., & Ahveninen, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.043 · Cited by 29
High-density EEG power topography and connectivity during confusional arousal
Castelnovo, A., Amacker, J., Maiolo, M., Amato, N., Pereno, M., Riccardi, S., Danani, A., Ulzega, S., & Manconi, M. (2022) · Cortex · doi:10.1016/j.cortex.2022.05.021 · Cited by 27
Neural vulnerability and hurricane-related media are associated with post-traumatic stress in youth
Dick, A. S., Silva, K., Gonzalez, R., Sutherland, M. T., Laird, A. R., Thompson, W. K., Tapert, S. F., Squeglia, L. M., Gray, K. M., Nixon, S. J., et al. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01216-3 · Cited by 27
Papadatos, Z., & Phillips, N. A. (2022) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2023.04.001 · Cited by 27
Multi-Connectivity Representation Learning Network for Major Depressive Disorder Diagnosis
Kong, Y., Wang, W., Liu, X., Gao, S., Hou, Z., Xie, C., Zhang, Z., & Yuan, Y. (2023) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2023.3274351 · Cited by 27
Brainstem fMRI signaling of surprise across different types of deviant stimuli
Mazancieux, A., Mauconduit, F., Amadon, A., de Gee, J. W., Donner, T. H., & Meyniel, F. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113405 · Cited by 29
Integrating direct electrical brain stimulation with the human connectome
Coletta, L., Avesani, P., Zigiotto, L., Venturini, M., Annicchiarico, L., Vavassori, L., Ng, S., Duffau, H., & Sarubbo, S. (2023) · Brain : a journal of neurology · doi:10.1093/brain/awad402 · Cited by 28
The Imaging Database for Epilepsy And Surgery ( IDEAS )
Taylor, P. N., Wang, Y., Simpson, C. M., Janiukstyte, V., Horsley, J., Leiberg, K., Little, B., Clifford, H. J., Adler, S., Vos, S. B., et al. (2024) · Epilepsia · doi:10.1111/epi.18192 · Cited by 27
Fjell, A. M., Røgeberg, O. J., Sørensen, Ø., Amlien, I. K., Bartrés‐Faz, D., Brandmaier, A. M., Cattaneo, G., Düzel, S., Grydeland, H., Henson, R. N., et al. (2025) · Nature Medicine · doi:10.1038/s41591-025-03828-y · Cited by 49
Thalamic Stimulation Induced Changes in Network Connectivity and Excitability in Epilepsy
Gregg, N. M., Valencia, G. O., Pridalova, T., Huang, H., Křemen, V., Lundstrom, B. N., Gompel, J. J. V., Miller, K. J., Worrell, G. A., & Hermes, D. (2025) · Annals of Neurology · doi:10.1002/ana.78087 · Cited by 31
Ptak, R., Lazeyras, F., Pietro, M. D., Schnider, A., & Simon, S. R. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.05.009 · Cited by 27
Individual peak gamma frequency predicts switch rate in perceptual rivalry
Fesi, J. D., & Mendola, J. D. (2014) · Human Brain Mapping · doi:10.1002/hbm.22647 · Cited by 29
Han, M.-R., Han, K.-M., Kim, A., Kang, W., Kang, Y., Kang, J. C., Won, E., Tae, W., Cho, Y., & Ham, B. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.02.028 · Cited by 27
Bhatt, R. R., Gupta, A., Rapkin, A. J., Kilpatrick, L. A., Hamadani, K., Pazmany, E., Oudenhove, L. V., Stains, J., Aerts, L., Enzlin, P., et al. (2019) · Pain · doi:10.1097/j.pain.0000000000001532 · Cited by 27
Surveillance During REM Sleep for the First-Night Effect
Tamaki, M., & Sasaki, Y. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01161 · Cited by 27
Structural connectivity predicts functional activation during lexical and sublexical reading
Ekstrand, C., Neudorf, J., Kress, S., & Borowsky, R. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117008 · Cited by 27
Tanzer, M., Derome, M., Morosan, L., Salaminios, G., & Debbané, M. (2020) · Development and Psychopathology · doi:10.1017/s0954579420000619 · Cited by 26
Bottari, D., Bednaya, E., Dormal, G., Villwock, A., Dzhelyova, M. P., Grin, K., Pietrini, P., Ricciardi, E., Rossion, B., & Röder, B. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117315 · Cited by 25
Vallesi, A., Felice, A. D., Capizzi, M., Tafuro, A., Formaggio, E., Bisiacchi, P. S., Masiero, S., & Ambrosini, E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117655 · Cited by 27
Statistical power: Implications for planning MEG studies
Chaumon, M., Puce, A., & George, N. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.117894 · Cited by 36
Lechanoine, F., Jacquesson, T., Beaujoin, J., Serres, B., Mohammadi, M. H., Planty-Bonjour, A., Andersson, F., Poupon, F., Poupon, C., & Destrieux, C. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118080 · Cited by 27
Self-citationPodgórski, P., Bladowska, J., Sąsiadek, M. J., & Zimny, A. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.645729 · Cited by 29
Singh, K., García‐Gomar, M. G., Cauzzo, S., Staab, J. P., Indovina, I., & Bianciardi, M. (2022) · Human Brain Mapping · doi:10.1002/hbm.25836 · Cited by 27
Donahue, E. K., Venkadesh, S., Bui, V., Tuazon, A. C., Wang, R. K., Haase, D., Foreman, R. P., Duran, J. J., Petkus, A. J., Wing, D., et al. (2022) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2022.09.005 · Cited by 27
Cortical signatures of cognition and their relationship to Alzheimer’s disease
Initiative, F. T. A. D. N., Gross, A. L., Manly, J. J., Pa, J., Johnson, J. K., Park, L. Q., Mitchell, M. B., Melrose, R. J., Inouye, S. K., & McLaren, D. G. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9180-5 · Cited by 25
Gazzina, S., Benussi, A., Premi, E., Paternicò, D., Cristillo, V., Dell’Era, V., Cosseddu, M., Archetti, S., Alberici, A., Gasparotti, R., et al. (2017) · Brain Topography · doi:10.1007/s10548-017-0612-9 · Cited by 27
TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction
Lyu, I., Kim, S. H., Woodward, N. D., Styner, M. A., & Landman, B. A. (2017) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2787589 · Cited by 27
Lewis, L. D., Piantoni, G., Peterfreund, R. A., Eskandar, E. N., Harrell, P. G., Akeju, O., Aglio, L. S., Cash, S. S., Brown, E. N., Mukamel, E. A., et al. (2018) · eLife · doi:10.7554/elife.33250 · Cited by 29
Rahman, M. S., Barnes, K. A., Crommett, L. E., Tommerdahl, M., & Yau, J. M. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116837 · Cited by 29
Turkiewicz, J., Bhatt, R. R., Wang, H., Vora, P. P., Krause, B., Sauk, J. S., Jacobs, J. P., Bernstein, C. N., Kornelsen, J., Labus, J. S., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102613 · Cited by 30
Krishnadas, R., Kim, J., McLean, J., Batty, G. D., McLean, J. S., Millar, K., Packard, C. J., & Cavanagh, J. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00722 · Cited by 27
Functional brain modules reconfigure at multiple scales across the human lifespanPreprint
Betzel, R. F., Mišić, B., He, Y., Rumschlag, J. A., Zuo, X., & Sporns, O. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1510.08045 · Cited by 35
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speechPreprint
Millet, J., & King, J.-R. (2021) · doi:10.31219/osf.io/fq6gd · Cited by 26
Cortical surface alignment in multi-subject spatiotemporal independent EEG source imaging
Tsai, A. C.-H., Jung, T., Chien, V. S. C., Savostyanov, A. N., & Makeig, S. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.045 · Cited by 25
Boots, E. A., Zhan, L., Dion, C., Karstens, A. J., Peven, J. C., Ajilore, O., & Lamar, M. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.04.024 · Cited by 26
Small-world properties of brain morphological characteristics in Anorexia Nervosa
Collantoni, E., Meneguzzo, P., Tenconi, E., Manara, R., & Favaro, A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0216154 · Cited by 26
Westwater, M. L., Vilar‐López, R., Ziauddeen, H., Verdejo‐García, A., & Fletcher, P. C. (2019) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2019.100728 · Cited by 28
Wirsich, J., Amico, E., Giraud, A., Goñi, J., & Sadaghiani, S. (2020) · Network Neuroscience · doi:10.1162/netn_a_00135 · Cited by 27
The role of the pre-commissural fornix in episodic autobiographical memory and simulation
Williams, A. N., Ridgeway, S., Postans, M., Graham, K. S., Lawrence, A. D., & Hodgetts, C. J. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107457 · Cited by 26
Lv, Y., Wei, W., Han, X., Song, Y., Han, Y., Zhou, C., Zhou, D., Zhang, F., Wu, X., Liu, J., et al. (2021) · Human Brain Mapping · doi:10.1002/hbm.25344 · Cited by 22
Kanjlia, S., Loiotile, R. E., Harhen, N. C., & Bedny, M. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118023 · Cited by 39
Learning Cortical Parcellations Using Graph Neural Networks
Eschenburg, K. M., Grabowski, T. J., & Haynor, D. R. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.797500 · Cited by 24
Norbom, L. B., Hanson, J. L., van der Meer, D., Ferschmann, L., Røysamb, E., von Soest, T., Andreassen, O. A., Agartz, I., Westlye, L. T., & Tamnes, C. K. (2022) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2022.101132 · Cited by 26
Yin, G., Li, T., Jin, S., Wang, N., Li, J., Wu, C., He, H., & Wang, J. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad178 · Cited by 26
MRI with and without a high-density EEG cap—what makes the difference?
Klein, C., Hänggi, J., Luechinger, R., & Jäncke, L. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.053 · Cited by 28
Mikhael, S. S., Hoogendoorn, C., Hernández, M. D. C. V., & Pernet, C. R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.02.082 · Cited by 26
Larivière, S., Xifra‐Porxas, A., Kassinopoulos, M., Niso, G., Baillet, S., Mitsis, G. D., & Boudrias, M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24578 · Cited by 29
Temporal selectivity declines in the aging human auditory cortex
Erb, J., Schmitt, L., & Obleser, J. (2020) · eLife · doi:10.7554/elife.55300 · Cited by 26
Ajnakina, O., Das, T. K., Lally, J., Forti, M. D., Pariante, C. M., Marques, T. R., Mondelli, V., David, A. S., Murray, R. M., Palaniyappan, L. K., et al. (2021) · Schizophrenia Bulletin · doi:10.1093/schbul/sbab035 · Cited by 26
The entire brain, more or less, is at work : 'Language regions' are artefacts of averagingPreprint
Aliko, S., Franch, M., Kewenig, V. N., Wang, B., Cooper, G. J., Glotfelty, A., Hayden, B. Y., Small, S. L., & Skipper, J. I. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.01.555886 · Cited by 35
Meyer‐Gerspach, A. C., Ly, H. G., Borgwardt, S., Dupont, P., Beglinger, C., Van Oudenhove, L., & Wölnerhanssen, B. K. (2018) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.13369 · Cited by 25
Jia, K., Li, Y., Gong, M., Huang, H., Wang, Y., & Li, S. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.2780-20.2021 · Cited by 25
Nishimaki, K., Onda, K., Ikuta, K., Chotiyanonta, J. S., Uchida, Y., Mori, S., Iyatomi, H., Oishi, K., Initiative, A. D. N., & Ageing, A. I. B. A. L. F. S. O. (2024) · Human Brain Mapping · doi:10.1002/hbm.70063 · Cited by 26
Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex
Parisot, S., Arslan, S., Passerat‐Palmbach, J., Wells, W. M., & Rueckert, D. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-19992-4_47 · Cited by 25
Herb, J., Levendovszky, S. R., Isaacs, D. A., van Wouwe, N. C., Roman, O. C., Landman, B. A., Dawant, B. M., Hedera, P., Zald, D. H., Neimat, J. S., et al. (2016) · Journal of Parkinson s Disease · doi:10.3233/jpd-150753 · Cited by 25
Marneweck, M., Barany, D. A., Santello, M., & Grafton, S. T. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2588-17.2018 · Cited by 25
Özker, M., Yoshor, D., & Beauchamp, M. S. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00141 · Cited by 26
Transformation of speech sequences in human sensorimotor circuits
Müsch, K., Himberger, K. D., Tan, K. M., Valiante, T. A., & Honey, C. J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1910939117 · Cited by 26
Post-Acute Cortical Thickness in Children with Mild Traumatic Brain Injury versus Orthopedic Injury
Ware, A. L., Goodrich‐Hunsaker, N. J., Lebel, C. A., Shukla, A., Wilde, E. A., Abildskov, T. J., Bigler, E. D., Cohen, D. M., Mihalov, L. K., Bacevice, A. M., et al. (2020) · Journal of Neurotrauma · doi:10.1089/neu.2019.6850 · Cited by 25
Maintaining verbal short-term memory representations in non-perceptual parietal regions
Yue, Q., & Martin, R. C. (2021) · Cortex · doi:10.1016/j.cortex.2021.01.020 · Cited by 23
Bundle-Specific Axon Diameter Index as a New Contrast to Differentiate White Matter Tracts
Baraković, M., Girard, G., Schiavi, S., Romascano, D., Descoteaux, M., Granziera, C., Jones, D. K., Innocenti, G. M., Thiran, J., & Daducci, A. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.646034 · Cited by 25
Visual and auditory brain areas share a representational structure that supports emotion perception
Sievers, B., Parkinson, C. M., Kohler, P. J., Hughes, J. M., Fogelson, S. V., & Wheatley, T. P. (2021) · Current Biology · doi:10.1016/j.cub.2021.09.043 · Cited by 28
Metadata
- Authors
- Destrieux, C., Fischl, B., Dale, A., & Halgren, E.
- Affiliations
- Université de Tours (FR)
- Harvard University (US)
- University of California San Diego (US)
- Corresponding author
- Destrieux, Christophe
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 53
- Issue
- 1
- Pages
- 1-15
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2937159
- OpenAlex
- W2007581301
- Cited by
- 2,956
- References
- 41
- Citations by year
- 2026: 272 · 2025: 328 · 2024: 287 · 2023: 290 · 2022: 291 · 2021: 272 · 2020: 241 · 2019: 188 · 2018: 189 · 2017: 163 · 2016: 130 · 2015: 98 · 2014: 75 · 2013: 62 · 2012: 44
- FWCI
- 48.65
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion)
- Funders
- Centre Hospitalier Régional et Universitaire de Tours
- National Institute for Neurological Disorders and Stroke (R01 NS18741, R01 NS052585)
- National Center for Research Resources (P41-RR14075, BIRN002, U24 RR021382)
- National Institute for Biomedical Imaging and Bioengineering (R01 EB001550, R01 EB006758, R01 EB009282)
- National Institute on Aging (R01 AG02238)
- Mental Illness and Neuroscience Discovery (MIND) Institute
- National Institutes of Health (U54 EB005149)
- Ellison Medical Foundation
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
- Keywords
- cortical parcellation, FreeSurfer, anatomical terminology, brain surface reconstruction
- MeSH terms
- Adolescent, Adult, Algorithms, Brain, Computer Simulation, Female, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Anatomic, Terminology as Topic, Pattern Recognition, Automated, Sensitivity and Specificity, Reproducibility of Results, Imaging, Three-Dimensional, Young Adult
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