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.
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“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
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Burt, J. B., Demirtaş, M., Eckner, W. J., Navejar, N. M., Ji, J. L., Martin, W. J., Bernacchia, A., Anticevic, A., & Murray, J. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0195-0 · Cited by 657
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Self-citationPredicting brain-age from multimodal imaging data captures cognitive impairment
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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
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