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Distribution of axon diameters in cortical white matter: an electron-microscopic study on three human brains and a macaque.
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The aim of this study was to obtain information on the axonal diameters of cortico-cortical fibres in the human brain, connecting distant regions of the same hemisphere via the white matter. Samples for electron microscopy were taken from the region of the superior longitudinal fascicle and from the transitional white matter between temporal and frontal lobe where the uncinate and inferior occipitofrontal fascicle merge. We measured the inner diameter of cross sections of myelinated axons. For comparison with data from the literature on the human corpus callosum, we also took samples from that region. For comparison with well-fixed material, we also included samples from corresponding regions of a monkey brain (Macaca mulatta). Fibre diameters in human brains ranged from 0.16 to 9 μm. Distributions of diameters were similar in the three systems of cortico-cortical fibres investigated, both in humans and the monkey, with most of the average values below 1 μm diameter and a small population of much thicker fibres. Within individual human brains, the averages were larger in the superior longitudinal fascicle than in the transitional zone between temporal and frontal lobe. An asymmetry between left and right could be found in one of the human brains, as well as in the monkey brain. A correlation was also found between the thickness of the myelin sheath and the inner axon diameter for axons whose calibre was greater than about 0.6 μm. The results are compared to white matter data in other mammals and are discussed with respect to conduction velocity, brain size, cognition, as well as diffusion weighted imaging studies.
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“For example, certain axonal and dendritic domains are less than 0.50 μm in diameter (Shepherd and Harris, 1998), and myelinated axons at three different sites of the corpus callosum in the human brain are estimated to have axon diameters of ≥0.50 μm, in 70–90% of cases (range 0.16–3.73 μm, mean 0.73 ± 0.55 μm) (Liewald et al., 2014).”
From Human Brain/Cloud Interface (2019) · cites this paper as Liewald et al., 2014
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Metadata
- Authors
- Liewald, D., Miller, R., Logothetis, N., Wagner, H.-J., & Schüz, A.
- Affiliations
- Max Planck Institute for Biological Cybernetics (DE)
- University of Otago (NZ)
- University of Tübingen (DE)
- Corresponding author
- Schüz, Almut
- Venue
- Biological Cybernetics
- Published
- 2014-08-21
- Volume
- 108
- Issue
- 5
- Pages
- 541-557
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- PMC
- PMC4228120
- OpenAlex
- W2046529900
- Cited by
- 322
- References
- 98
- Citations by year
- 2026: 16 · 2025: 28 · 2024: 25 · 2023: 36 · 2022: 39 · 2021: 37 · 2020: 39 · 2019: 35 · 2018: 28 · 2017: 14 · 2016: 21 · 2015: 4
- FWCI
- 10.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Biological Cybernetics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Max Planck Digital Library (submittedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Anatomy › Classical Anatomy and Histology
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- axon diameter, cortical white matter, superior longitudinal fasciculus, corpus callosum, myelinated axons, myelin thickness, hemispheric lateralization, human brain, macaque brain, conduction velocity, diffusion-weighted imaging
- MeSH terms
- Aged, Aged, 80 and over, Animals, Axons, Cerebral Cortex, Humans, Functional Laterality, Macaca mulatta, Male, Myelin Sheath, Electron Microscope Tomography, White Matter
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 ›
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