The DOI matches its Crossref record; 131 of the 139 references it cites were found in a registry or an index.
Using high-resolution quantitative mapping of R1 as an index of cortical myelination
Abstract
A fundamental tenet of neuroscience is that cortical functional differentiation is related to the cross-areal differences in cyto-, receptor-, and myeloarchitectonics that are observed in ex-vivo preparations. An ongoing challenge is to create noninvasive magnetic resonance (MR) imaging techniques that offer sufficient resolution, tissue contrast, accuracy and precision to allow for characterization of cortical architecture over an entire living human brain. One exciting development is the advent of fast, high-resolution quantitative mapping of basic MR parameters that reflect cortical myeloarchitecture. Here, we outline some of the theoretical and technical advances underlying this technique, particularly in terms of measuring and correcting for transmit and receive radio frequency field inhomogeneities. We also discuss new directions in analytic techniques, including higher resolution reconstructions of the cortical surface. We then discuss two recent applications of this technique. The first compares individual and group myelin maps to functional retinotopic maps in the same individuals, demonstrating a close relationship between functionally and myeloarchitectonically defined areal boundaries (as well as revealing an interesting disparity in a highly studied visual area). The second combines tonotopic and myeloarchitectonic mapping to localize primary auditory areas in individual healthy adults, using a similar strategy as combined electrophysiological and post-mortem myeloarchitectonic studies in non-human primates.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“many investigators consider R1 (1/T1) to be the best MR measure of myelin content (Stüber et al., 2014; Lutti et al., 2013).”
From Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise (2016) · cites this paper as Lutti et al., 2013
Citations
Cites
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-citationA new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., & Zilles, K. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.034 · Cited by 4,033
Sequence-independent segmentation of magnetic resonance images
Fischl, B. R., Salat, D. H., van der Kouwe, A. J. W., Makris, N., Ségonne, F., Quinn, B. T., & Dale, A. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.016 · Cited by 2,117
MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field
Marques, J. P., Kober, T., Krüger, G., van der Zwaag, W., de Moortele, P. V., & Rolf Gruetter, A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.002 · Cited by 1,463
Mapping Human Cortical Areas In Vivo Based on Myelin Content as Revealed by T1- and T2-Weighted MRI
Glasser, M. F., & Van Essen, D. C. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-11.2011 · Cited by 1,447
Three‐dimensional magnetization‐prepared rapid gradient‐echo imaging (3D MP RAGE)
Mugler, J. P., & Brookeman, J. R. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910150117 · Cited by 1,276
Die Cytoarchitektonik der Hirnrinde des erwachsenen Menschen
Economo, C. V., & Koskinas, G. N. (1925) · Springer eBooks · Cited by 1,234
Visual field maps in human cortex.
Wandell, B. A., Dumoulin, S. O., & Brewer, A. A. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.012 · Cited by 1,231 · cited 1×
“This has been an extremely productive approach, and has shown that much of the cortex is tiled with maps (Graziano and Aflalo, 2007; Schreiner and Winer, 2007; Wandell et al., 2007).”
FLASH imaging: Rapid NMR imaging using low flip-angle pulses
Haase, A., Frahm, J., Matthaei, D., Hänicke, W., & Merboldt, K. D. (2011) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2011.09.021 · Cited by 1,153
Yarnykh, V. L. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21120 · Cited by 1,028
Research works printed but not linked: 3
- Freeman, 1998, Optimisation of the ultra-fast Look–Locker echo-planar imaging T1 mapping sequence, Magn. Reson. Med., 16, 765
- Hopf, 1955, Über die Verteilung myeloarchitektonischer Merkmale in der isokortikalen Schläfenlappenrinde beim Menschen, J. Hirnforsch., 46–54
- Vogt, 1906, Der Wert der myelogenetischen Felder der Großhirnrinde, Anat. Anz., 24, 273
Cited by
Sorted by citations
Items 301–346 of 346
Auditory cortex anatomy reflects multilingual phonological experiencePreprint
Kepinska, O., da Rocha, J. L. D., Tuerk, C., Hervais‐Adelman, A., Bouhali, F., Green, D. W., Price, C. J., & Golestani, N. (2025) · eLife · doi:10.7554/elife.90269.2 · Cited by 1
A molecular map of the living human brain from quantitative MRIPreprint
Grant‐Peters, M., Thomas, G. E. C., van Kruining, D., Huuki-Myers, L. A., Zhang, R., Brenton, J., Nelvagal, H. R., Zarkali, A., Evans, J. R., Toomey, C. E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.24.678316 · Cited by 1
Asadi, S., Spencer, A. P. C., Alemán‐Gómez, Y., Jedynak, M., Canales-Rodríguez, E. J., Pavan, T., Mullier, E., de Wouters, L., Rigoni, I., Lajous, H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.28.685017 · Cited by 1
Cognitive Analysis of Complex Acoustic Scenes
Teki, S. (2013) · UCL Discovery (University College London) · doi:10.13140/rg.2.1.3941.1685 · Cited by 1
Dinse, J., Andreas Schäfer, A., Bazin, P., & Weiskopf, N. (2016) · Informatik aktuell · doi:10.1007/978-3-662-49465-3_5
Self-citationKim, S. (2017) · MPG.PuRe (Max Planck Society)
Measuring Changes in Brain Manganese or Iron Using Magnetic Resonance Imaging (MRI)
Desmond, K. L., & Bock, N. A. (2017) · Neuromethods · doi:10.1007/978-1-4939-6918-0_13
An Unsupervised Group Average Cortical Parcellation Using Diffusion MRI to Probe Cytoarchitecture
Ganepola, T., Nagy, Z., Alexander, D. C., & Sereno, M. I. (2017) · Mathematics and visualization · doi:10.1007/978-3-319-54130-3_12
Self-citationBrain tissue properties and morphometry assessment after chronic complete spinal cord injuryPreprint
Hug, A., Bernini, A., Wang, H., Lutti, A., Jende, J. M. E., Böttinger, M., Weber, M. D., Weidner, N., & Lang, S. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/547620
Self-citationProlongation of Longitudinal Relaxometry Characteristics in Healthy Aging: a Whole Brain MRI Study
Dinçer, H. A., & Gökçay, D. (2020) · Medical Technologies Congress (TIPTEKNO) · doi:10.1109/tiptekno50054.2020.9299314
Maingault, S., Pepe, A., Mazoyer, B. M., Tzourio‐Mazoyer, N., & Crivello, F. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.24.432645
Diffusion-weighted magnetic resonance imaging at ultra-high field
Fritz, F. J. (2020) · Research Publications (Maastricht University) · doi:10.26481/dis.20210111flf
Sullivan, E. V. (2021) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.736658019.793585017
In-vivo estimation of axonal morphology from MRI and EEG dataPreprint
Oliveira, R., Pelentritou, A., Domenicantonio, G. D., Marzia De Lucia, E., & Lutti, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.02.11.479116
Self-citationNon-invasive assessment of normal and impaired iron homeostasis in living human brainsPreprint
Filo, S., Shaharabani, R., Hanin, D. B., Adam, M., Ben-David, E., Schoffman, H., Margalit, N. S., Habib, N., Shahar, T., & Mezer, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.02.490254
Greenwood, R. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.727610342.793555806
Ward, I. L., Raven, E. P., de la Rosa, S., Jones, D. K., Teufel, C., & Hagen, E. V. D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.16.494491
Oliveira, R., Marzia De Lucia, E., & Lutti, A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.19.521040
Self-citationThe Compressed Sensing MP2RAGE as a surrogate to the MPRAGE for neuro-imaging at 3T
Trotier, A. J., Dilharreguy, B., Anandra, S., Corbin, N., Lefrançois, W., Ozenne, V., Miraux, S., & Ribot, E. J. (2023) · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition · doi:10.58530/2022/1261
Magnetic Resonance Imaging in a Nutshell
Polzehl, J., & Tabelow, K. (2023) · Use R! · doi:10.1007/978-3-031-38949-8_2
eLife Assessment: Auditory cortex anatomy reflects multilingual phonological experience
Peelle, J. E. (2023) · eLife · doi:10.7554/elife.90269.1.sa3
Kosalka, P. K., Hannan, F., Hamilton, J., Patriquin, C. J., Pavenski, K., Jurkiewicz, M. T., Tristao, L., Owen, A. M., Deoni, S., Théberge, J., et al. (2024) · Blood Vessels Thrombosis & Hemostasis · doi:10.1016/j.bvth.2024.100016
From histology to macroscale function in the human amygdalaPreprint
Auer, H., Cabalo, D. G., Rodríguez‐Cruces, R., Benkarim, O. M., Paquola, C., DeKraker, J., Wang, Y., Valk, S. L., Bernhardt, B. C., & Royer, J. (2024) · eLife · doi:10.7554/elife.101950.1
Canna, A., Mangia, S., Michaeli, S., Ponticorvo, S., Russillo, M. C., Andreozzi, V., Manara, R., Salle, F. D., Picillo, M., Barone, P., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-10812-6
White matter microstructure fingerprint of cerebral small vessel disease
Bussy, A., Cathala, C., Carneiro, F., Kherif, F., Lutti, A., & Draganski, B. (2026) · Brain · doi:10.1093/brain/awag200
Self-citationDokumacı, A. S., Vecchiato, K., Tomi‐Tricot, R., Eyre, M., Bridgen, P., Ciò, P. D., Casella, C., Wood, T., Sedlacik, J., Wilkinson, T., et al. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.966
Fleischer, C. C., Gopinath, K., Luque, E. M., Zhou, L., Pope, H. L., Peterson, R. B., Alvarez, A., McNeice, J. L., Nguyen, M. L., Harrison, T. B., et al. (2026) · BMC Medical Imaging · doi:10.1186/s12880-026-02202-9
Karat, B. G., Genc, S., Raven, E. P., Palombo, M., KHAN, A. R., & Jones, D. K. (2026) · Communications Biology · doi:10.1038/s42003-026-09622-x · Cited by 6
Hierarchical Signatures of Language in the Human BrainPreprint
Eichert, N., Favre, C., Cabalo, D. G., Ngo, A., DeKraker, J., Hwang, Y., Smith, M., Crooks, V., Bautin, P., Rodríguez‐Cruces, R., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.15.705992
Valencia, S., Barkovich, E. J., Machado‐Rivas, F., Pearl, P. L., Warfield, S. K., Afacan, O., & Jaimes, C. E. (2026) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.70312
Papiernik-Kłodzińska, J., Pin, S. H. D., Sandberg, K., Wierzchoń, M., Carrasco, M., & Rutiku, R. (2026) · Cerebral Cortex · doi:10.1093/cercor/bhag058
Cortical and white matter myelination proceed in concert during early infancy
Zika, S., Chang, K., Orhon, A., Kruper, J., Tyagi, C., Yan, X., Tung, S. S., Kalanit Grill-spector, A., Rokem, A., & Grotheer, M. (2026) · Nature Communications · doi:10.1038/s41467-026-73366-9 · Cited by 2
Revisiting the auditory hemodynamic response function in the era of fast fMRIPreprint
Schneider, L. M., Zulfiqar, I., Balbastre, Y., Holt, L. L., Callaghan, M. F., & Dick, F. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.24.734180
Self-citationHolubová, Z., Kala, D., Čapek, V., Profantová, N., Splítková, B., Šanda, J., Prysiazhniuk, Y., Jiránková, K., Kudr, M., Kršek, P., et al. (2026) · Physiological Research · doi:10.33549/physiolres.935824
Tyrer, A., Nikolova, N. E., Dubois, M., Banellis, L., Vejlø, M., Hauser, T. U., & Allen, M. (2026) · Computational Psychiatry · doi:10.5334/cpsy.164 · Cited by 1
Tyrer, A., Nikolova, N. E., Dubois, M., Banellis, L., Vejlø, M., Hauser, T., & Allen, M. (2026) · MPG.PuRe (Max Planck Society)
The shifting landscape of brain-wide myelination across the human lifespan
Ahmad, S., Huynh, K. M., Lin, G., & Yap, P. (2026) · Nature Communications · doi:10.1038/s41467-026-77073-3
Montemayor, N. P., Nguyen, T., Marques, J. P., Açikgöz, B. C., Bastiaansen, J., Kreis, R., Radojewski, P., Stelter, J., Karampinos, D. C., Philippe, J., et al. (2026) · Magnetic Resonance in Medicine · doi:10.1002/mrm.70617
Metadata
- Authors
- Lutti, A., Dick, F., Sereno, M. I., & Weiskopf, N.
- Affiliations
- Wellcome Centre for Human Neuroimaging (GB)
- University of London (GB)
- Corresponding author
- Lutti, Antoine
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 93
- Pages
- 176-188
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1991534565
- Cited by
- 346
- References
- 139
- Citations by year
- 2026: 20 · 2025: 28 · 2024: 18 · 2023: 26 · 2022: 37 · 2021: 29 · 2020: 27 · 2019: 27 · 2018: 36 · 2017: 38 · 2016: 28 · 2015: 17 · 2014: 11
- FWCI
- 2.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- BIROn (Birkbeck, University of London) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- IRIS (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- SERVAL (Université de Lausanne) (submittedVersion)
- Funders
- Wellcome Trust (091593)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- cortical myelination, myeloarchitecture, quantitative MRI, R1 mapping, cortical surface reconstruction, retinotopic map, tonotopic map, functional differentiation, non-invasive brain imaging
- MeSH terms
- Brain Mapping, Cerebral Cortex, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Myelin Sheath
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
