The role of myelination in learning performance observed in two strains of myelin-deficient mutant mice (shiverer and mld)
Abstract
In order to study whether myelination is involved in learning performance, the behavior of myelin-deficient mutant mice (shiverer and mld) was examined. Shiverer is a deletion mutant of the myelin basic protein (MBP) gene causing severe myelin deficits due to the complete absence of MBP, while mld, allelic mutant to shiverer, shows lowered MBP expression, resulting in less severe effects. Shiverer clearly showed deficits in successive reversal learning, while mld showed less deficits in the learning performance. Both mutant mice showed no deficits in the radial maze performance, which is though to show the natural foraging behavior of rodents. These results suggest that myelin formation is related to learning but not to natural behavior.
Integrity signals
Registry
Cites
Statistics
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?
Axon-myelin perturbations can have marked effects on brain network activity as a consequence of changes to the temporal coherence of action potential integration across different brain regions required for adaptive brain functioning.
“Axon-myelin perturbations can have marked effects on brain network activity as a consequence of changes to the temporal coherence of action potential integration across different brain regions required for adaptive brain functioning [55, 56].”
Cited by
Sorted by citations
Essential Role for TrkB Receptors in Hippocampus-Mediated Learning
Minichiello, L., Korte, M., Wolfer, D., Kühn, R., Unsicker, K., Cestari, V., Rossi-Arnaud, C., Lipp, H.-P., Bonhoeffer, T., & Klein, R. (1999) · Neuron · doi:10.1016/s0896-6273(00)80853-3 · Cited by 799 · see citing works
Microglia regulate central nervous system myelin growth and integrity
McNamara, N. B., Munro, D. A. D., Bestard-Cuche, N., Uyeda, A., Bogie, J. F. J., Hoffmann, A., Holloway, R. K., Molina-Gonzalez, I., Askew, K. E., Mitchell, S., et al. (2023) · Nature · doi:10.1038/s41586-022-05534-y · Cited by 507 · see citing works
Haddon, J. E., Titherage, D., Heckenast, J. R., Carter, J., Owen, M. J., Hall, J., Wilkinson, L. S., & Jones, M. W. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02969-x · Cited by 6 · see citing works
“Axon-myelin perturbations can have marked effects on brain network activity as a consequence of changes to the temporal coherence of action potential integration across different brain regions required for adaptive brain functioning [55, 56].”
Background
- Authors
- Inagawa, K., Watanabe, S., Tsukada, Y., & Mikoshiba, K.
- Affiliations
- Keio University (JP)
- Institute for Protein Research, The University of Osaka (JP)
- Venue
- Behavioral and Neural Biology
- Publisher
- Elsevier BV
- Published
- 1988-09
- Volume
- 50
- Issue
- 2
- Pages
- 184-192
- ISSN
- 0163-1047 (ISSN-L)
- OpenAlex
- W1975198961
- Cited by
- 14
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2014: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behavioral and Neural Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- myelination, myelin basic protein, learning performance, reversal learning, radial maze, foraging behavior, axonal myelination
- MeSH terms
- Animals, Brain, Discrimination Learning, Myelin Basic Protein, Mice, Inbred BALB C, Mice, Inbred C57BL, Mice, Neurologic Mutants, Orientation, Retention, Psychology, Reversal Learning, Mice
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