The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Unraveling the secrets of white matter--bridging the gap between cellular, animal and human imaging studies
Open accessAbstract
The CNS white matter makes up about half of the human brain, and with advances in human imaging it is increasingly becoming clear that changes in the white matter play a major role in shaping human behavior and learning. However, the mechanisms underlying these white matter changes remain poorly understood. Within this special issue of Neuroscience on white matter, recent advances in our knowledge of the function of white matter, from the molecular level to human imaging, are reviewed. Collaboration between fields is essential to understand the function of the white matter, but due to differences in methods and field-specific 'language', communication is often hindered. In this review, we try to address this hindrance by introducing the methods and providing a basic background to myelin biology and human imaging as a prelude to the other reviews within this special issue.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“However, even at this 100 μm resolution and ∼17 h scan times, each imaging voxel can contain anywhere from 1,000 to 13,000 axons, over 80 oligodendrocytes, and more than 20 astrocytes (Walhovd et al., 2014).”
From The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains (2017) · cites this paper as Walhovd et al., 2014
Experimental — accuracy not yet measured
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
Fischl, 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
Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M. (1986) · Radiology · doi:10.1148/radiology.161.2.3763909 · Cited by 3,912
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471
Self-citationWithin-subject template estimation for unbiased longitudinal image analysis
Reuter, M., Schmansky, N. J., Rosas, H. D., & Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.084 · Cited by 2,356
Song, S.-K., Sun, S.-W., Ju, W.-K., Lin, S.-J., Cross, A. H., & Neufeld, A. H. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.005 · Cited by 1,738
Plasticity in gray and white: neuroimaging changes in brain structure during learning
Zatorre, R. J., Fields, R. D., & Johansen-Berg, H. (2012) · Nature Neuroscience · doi:10.1038/nn.3045 · Cited by 1,685
Self-citationTraining induces changes in white-matter architecture
Scholz, J., Klein, M. C., Behrens, T. E. J., & Johansen-Berg, H. (2009) · Nature Neuroscience · doi:10.1038/nn.2412 · Cited by 1,508
Self-citationUniquely Hominid Features of Adult Human Astrocytes
Oberheim, N. A., Takano, T., Han, X., He, W., Lin, J. H. C., Wang, F., Xu, Q., Wyatt, J. D., Pilcher, W., Ojemann, J. G., et al. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.4707-08.2009 · Cited by 1,488
Neuronal activity promotes oligodendrogenesis and adaptive myelination in the mammalian brain
Gibson, E. M., Purger, D., Mount, C. W., Goldstein, A. K., Lin, G. L., Wood, L. S., Inema, I., Miller, S. E., Bieri, G., Zuchero, J. B., et al. (2014) · Science · doi:10.1126/science.1252304 · Cited by 1,472
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–156 of 156
Jiang, Y., Wang, P., Wen, J., Wang, J., Li, H., & Biswal, B. B. (2022) · Brain Structure and Function · doi:10.1007/s00429-022-02521-x · Cited by 9
Association of physical activity levels and brain white matter in older Latino adults
Balbim, G. M., Erickson, K. I., Ajilore, O., Aguiñaga, S., Bustamante, E. E., Lamar, M., & Márquez, D. X. (2021) · Ethnicity and Health · doi:10.1080/13557858.2021.1913484 · Cited by 8
A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation
Bonnier, G., Kober, T., Schluep, M., Pasquier, R. D., Krüger, G., Meuli, R. A., Granziera, C., & Roche, A. (2016) · PLoS ONE · doi:10.1371/journal.pone.0148631 · Cited by 8
Koschutnig, K., Weber, B., & Fink, A. (2024) · Human Brain Mapping · doi:10.1002/hbm.26791 · Cited by 11
Butt, A. M., Niu, J., Yi, C., & Verkhratsky, A. (2026) · Physiological Reviews · doi:10.1152/physrev.00023.2025 · Cited by 7
Activity‐dependent alteration of early myelin ensheathment in a developing sensory circuit
Chorghay, Z., MacFarquhar, D., Li, V. J., Aufmkolk, S., Schohl, A., Wiseman, P. W., Káradóttir, R. T., & Ruthazer, E. S. (2021) · The Journal of Comparative Neurology · doi:10.1002/cne.25253 · Cited by 5
Self-citationNeurovascular dysfunction in the development and progression of neuroinflammatory diseases
Gowdy, J., Ahn, J. J., Miller, R. H., & Islam, Y. (2026) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2026.1741928 · Cited by 7
Neural correlates of active controlled retrieval development: An exploratory ERP study
Simard, F., & Cadoret, G. (2018) · Brain and Cognition · doi:10.1016/j.bandc.2018.04.005 · Cited by 6
Wróbel, P., Stec, P., Wiatrowska, W., Ziomber-Lisiak, A., & Szczerbowska‐Boruchowska, M. (2024) · Measurement · doi:10.1016/j.measurement.2024.115939 · Cited by 5
Chan, G. Z. P., Morgan, W. H., Yu, D., & Balaratnasingam, C. (2020) · Experimental Eye Research · doi:10.1016/j.exer.2020.108154 · Cited by 5
Verkhratsky, A., & Butt, A. M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-821565-4.00009-2 · Cited by 5
Oligodendroglial physiology and function
Verkhratsky, A., & Butt, A. M. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-821565-4.00017-1 · Cited by 3
Motor learning induces myelin-related white matter changes revealed by MRI-based in vivo histology
Aye, N., Kaufmann, J., Heinze, H., Düzel, E., Ziegler, G., Taubert, M., & Lehmann, N. (2026) · Communications Biology · doi:10.1038/s42003-026-09712-w · Cited by 3
Kim, S. E., Joo, Y., Son, Y., Kim, H.-K., Lee, S., Lee, M., Ido, T., & Kim, J. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02094-7 · Cited by 3
Caldwell, M., Mendoza, J. C., Jiang, X. Y. Z., Alarcon, C., Ayo‐Jibunoh, V., Louis, S., Maronna, D., Darwish, R., Tomaio, J., Mingote, S., et al. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16385 · Cited by 3
Barrick, T. R., Ingo, C., Hall, M. G., & Howe, F. A. (2025) · NMR in Biomedicine · doi:10.1002/nbm.70011 · Cited by 3
Wallstein, N., Pampel, A., Müller, R., Jäger, C., Morawski, M., & Möller, H. E. (2025) · Scientific Reports · doi:10.1038/s41598-025-87362-4 · Cited by 3
Multi-parametric quantitative MRI reveals three different white matter subtypes
Foucher, J., Mainberger, O., Lamy, J., Santin, M. D., Vignaud, A., Roser, M. M., & de Sousa, P. L. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196297 · Cited by 3
Cellular, Connectomic, and Cognitive Impact of Glioma and its Surgical ResectionPreprint
Poologaindran, A., Luppi, A. I., Hart, M. G., Santarius, T., Price, S. J., Sughrue, M., Seidlitz, J., Bethlehem, R. A. I., Assem, M., Erez, Y., et al. (2025) · medRxiv · doi:10.1101/2025.01.27.25320920 · Cited by 3
Yu, X., Xu, D., Yu, Y., Hu, J., Wang, L., Jiang, B., & Zhang, M. (2025) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.70164 · Cited by 2
Nevalainen, T., Autio, A., & Hurme, M. (2024) · Journal of NeuroVirology · doi:10.1007/s13365-024-01208-9 · Cited by 3
Isasi, E., Wajner, M., Duarte, J. Á., & Olivera‐Bravo, S. (2024) · Neurotoxicity Research · doi:10.1007/s12640-024-00710-6 · Cited by 3
Clinical relevance of cognitive dysfunction in major depressive disorder
Cha, D. S. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781139860567.002 · Cited by 2
Viel, G., Rafael Boscolo-berto, A., & Ferrara, S. D. (2016) · Springer eBooks · doi:10.1007/978-3-319-29812-2_27 · Cited by 2
Wang, X., Bi, Y., Zhang, Z., Lu, J., Zhao, Q., Zhang, X., Zhang, W., & Zhang, B. (2022) · Chinese Journal of Academic Radiology · doi:10.1007/s42058-022-00093-7 · Cited by 1
The Role of Neuroglia in Cognitive Longevity
Zorec, R., Verkhratsky, A., & Parpura, V. (2025) · Neurochemical Research · doi:10.1007/s11064-025-04545-1 · Cited by 1
Smith, J. C., Callow, D. D., Pena, G. S., & Purcell, J. J. (2025) · Advances in neurobiology · doi:10.1007/978-981-95-0066-6_14 · Cited by 1
DWI Physics and Imaging Techniques
Kotian, R. P., & Koteshwar, P. (2022) · Springer eBooks · doi:10.1007/978-981-19-5001-8_3 · Cited by 1
Ancău, M., Tanti, G. K., Butenschoen, V. M., Gempt, J., Yakushev, I. Y., Nekolla, S. G., Mühlau, M., Scheunemann, C., Heininger, S., Löwe, B., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.104982 · Cited by 1
Majrashi, N. A. A., & Alyami, A. S. (2022) · medRxiv · doi:10.1101/2022.02.17.22271139 · Cited by 1
Yang, A., Zhao, X., Yang, Y., & Zhao, X.-M. (2024) · medRxiv · doi:10.1101/2024.08.30.24312836 · Cited by 1
Filley, C. M. (2016) · Cambridge University Press eBooks · doi:10.1017/cbo9781139548878.005
Neuroanatomy of cognition in major depressive disorder
Goodwin, G. M. (2015) · Cambridge University Press eBooks · doi:10.1017/cbo9781139860567.006
Bio-Medicolegal Sciences and Personal Injury/Damage Ascertainment in the Post-Genomic Era
Ferrara, S. D., Viel, G., & Rafael Boscolo-berto, A. (2016) · Springer eBooks · doi:10.1007/978-3-319-29812-2_1
Genetic Evidence For Neuron-Glia Metabolic Coupling In The CNS
Supplie, L. M. (2016) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-5775
Label-free imaging of rat spinal cords based on multiphoton microscopy
Liao, C., Wang, Z., Zhou, L., Zhu, X., Liu, W., & Chen, J. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2245519
Richards, M., & Bearden, C. E. (2017) · Springer eBooks · doi:10.1007/978-3-319-57196-6_6
Harms, R. (2019) · doi:10.26481/dis.20191025rh
Current Challenges and Future Directions in Diffusion MRI: From Model- to Data- Driven Analysis
Schilling, K. G., Rogers, B., Anderson, A. W., & Landman, B. A. (2020) · Mathematics and visualization · doi:10.1007/978-3-030-52893-5_6
Verkhratsky, A. (2021) · Ageing & Longevity · doi:10.47855/jal9020-2021-1-6
White Matter is Increased in the Brains of Adults With Neurofibromatosis 1Preprint
Wang, S., Friedman, J. M., Suppa, P., Buchert, R., & Mautner, V. (2021) · Research Square · doi:10.21203/rs.3.rs-898452/v1
Lyons, D. A., & Almeida, R. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.738031512.793575106
Roger, É., Attyé, A., Renard, F., & Baciu, M. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103209 · Cited by 1
Ancău, M., Tanti, G. K., Butenschoen, V. M., Gempt, J., Yakushev, I. Y., Nekolla, S. G., Mühlau, M., Scheunemann, C., Heininger, S., Löwe, B., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.26.550644
Morphology of Oligodendroglial Cells
Butt, A. M., Willis, A., Stevens, R., Hunter, I., & Nishiyama, A. (2025) · Advances in neurobiology · doi:10.1007/978-3-031-87919-7_5
The cellular associates of late life changes in white matter microstructurePreprint
Chin, R., Zhang, X.-H., Anderson, K. M., Yendiki, A., & Holmes, A. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.02.673734 · Cited by 1
Additional file 1 of White matter is increased in the brains of adults with neurofibromatosis 1
Wang, S., Friedman, J. M., Suppa, P., Buchert, R., & Mautner, V.-F. (2022) · Figshare · doi:10.6084/m9.figshare.19313689
Huang, X., Xia, K., Ye, S., Yang, Q., & Fan, D. (2026) · Brain Sciences · doi:10.3390/brainsci16020144
Beyond the Wiring: White Matter as a Dynamic Regulator of Brain Function and Disease
He, C., Wu, D., Du, A., & Zhang, L. (2026) · Neuroscience Bulletin · doi:10.1007/s12264-026-01605-6
Hassett, J. D., Hölig, C., Lingareddy, S., Kekunnaya, R., & Röder, B. (2026) · Aperture Neuro · doi:10.52294/001c.158797
Microscopy-informed structural connectivity mapping in the in vivo human brain via domain adaptationPreprint
Zhu, S., Dinsdale, N. K., Jbabdi, S., Miller, K. L., & Howard, A. F. D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.14.732211 · Cited by 1
Unaran, E., Adebiyi, O. E., Krishnan, M. R., Bussey, T. J., Saksida, L. M., Prado, M. A., Prado, V. F., & Menon, R. S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.08.12.744193
Huang, L., Cheng, P., Liu, G., Xiang, Y., Hong, Z., & Le, W. (2026) · MedComm · doi:10.1002/mco2.71017
Neuroimaging in infants with prenatal opioid exposure
Asis‐Cruz, J. D., & Yen, E. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-26576-1.00016-2
Metadata
- Authors
- Walhovd, K. B., Johansen-Berg, H., & Káradóttir, R. T.
- Affiliations
- Oslo University Hospital (NO)
- Wellcome/MRC Cambridge Stem Cell Institute (GB)
- Corresponding author
- Walhovd, K.B.
- Káradóttir, R.T.
- Venue
- Neuroscience
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 276
- Pages
- 2-13
- ISSN
- 0306-4522 (ISSN-L)
- PMC
- PMC4155933
- OpenAlex
- W1975478767
- Cited by
- 156
- References
- 79
- Citations by year
- 2026: 10 · 2025: 9 · 2024: 9 · 2023: 8 · 2022: 17 · 2021: 19 · 2020: 13 · 2019: 10 · 2018: 15 · 2017: 14 · 2016: 19 · 2015: 12
- FWCI
- 2.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Wellcome Trust (WT090955AIA, 090955, 091543/Z/10/Z, 091543)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Keywords
- white matter, human brain imaging, translational neuroscience, interdisciplinary collaboration, myelination
- MeSH terms
- Animals, Brain Mapping, Humans, Immunohistochemistry, Magnetic Resonance Imaging, Microscopy, Electron, Myelin Sheath, Neuroglia, Neuroimaging, 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 ›
Are you an author, or do you see a problem with this page? Request a review
