The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Diffusion tensor imaging detects early Wallerian degeneration of the pyramidal tract after ischemic stroke
Abstract
We used diffusion tensor imaging (DTI) to assess Wallerian degeneration of the pyramidal tract within the first 2 weeks after ischemic stroke, and correlated the extent of Wallerian degeneration with the motor deficit. Nine patients with middle cerebral artery stroke were examined 2-16 days after stroke by DTI and T2-weighted MRI. We measured fractional anisotropy (FA), averaged diffusivity (Dav), eigenvalues of the diffusion tensor and T2-weighted signal in the cerebral peduncle and compared these values between the affected and the unaffected side and between patients and six controls. FA was significantly reduced on the affected side compared to the unaffected side and compared to the control group. The largest eigenvalue was reduced, whereas the smallest eigenvalue was elevated on the affected side. There was no significant difference in T2-weighted signal and Dav. The decrease of anisotropy correlated positively with the motor deficit at the time of DTI study and 90 days after stroke. The reduction of anisotropy mirrors the disintegration of axonal structures, as it occurs in the early phase of Wallerian degeneration. DTI detects changes of water diffusion related to beginning pyramidal tract degeneration within the first 2 weeks after stroke that are not yet visible in conventional T2-weighted or orientationally averaged diffusion weighted MRI. We demonstrated for the first time a correlation of early DTI findings of pyramidal tract damage with the motor deficit. DTI can help prognosing recovery of motor function after stroke within the early subacute phase.
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“Changes in FA signal one or many microstructural alterations, such as Wallerian degeneration (Pierpaoli et al., 2001; Thomalla et al., 2004) or decreased neuronal membrane permeability (Jones, KnöSche, & Turner, 2013).”
From Substance abuse and white matter: Findings, limitations, and future of diffusion tensor imaging research (2019) · cites this paper as Thomalla et al., 2004
Citations
Cites
Measurements of acute cerebral infarction: a clinical examination scale.
Brott, T. G., Adams, H. P., Olinger, C. P., Marler, J. R., Barsan, W. G., Biller, J., Spilker, J. A., Holleran, R. S., EBERLE, R. W., & Hertzberg, V. (1989) · Stroke · doi:10.1161/01.str.20.7.864 · Cited by 6,034
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
Self-citationBasser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306
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
Diffusion tensor imaging: Concepts and applications
Le Bihan, D., Mangin, J., Poupon, C., Clark, C. A., Pappata, S., Molko, N., & Chabriat, H. (2001) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1076 · Cited by 3,547
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
Dysmyelination revealed through MRI as increased radial (but unchanged axial) diffusion of water
Song, S.-K., Sun, S.-W., Ramsbottom, M. J., Chang, C., Russell, J., & Cross, A. H. (2002) · NeuroImage · doi:10.1006/nimg.2002.1267 · Cited by 2,582
Moseley, M. E., Cohen, Y., Mintorovitch, J., Chileuitt, L., Shimizu, H., Kucharczyk, J., Wendland, M. F., & Weinstein, P. R. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140218 · Cited by 1,644
The Human Central Nervous System
Nieuwenhuys, R., Voogd, J., & van Huijzen, C. (2008) · doi:10.1007/978-3-540-34686-9 · Cited by 1,262
Water diffusion changes in wallerian degeneration and their dependence on white matter architecture
Pierpaoli, C., Barnett, A., Pajevic, S., Chen, R., Penix, L., Virta, A., & Basser, P. (2001) · NeuroImage · doi:10.1006/nimg.2001.0765 · Cited by 938
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Diffusion Tensor Imaging in Acute Ischemic Stroke: Usefulness of Fractional Anisotropy
Shim, Y., Yang, D., Yoon, B., et al. (2006) · Journal of the Korean Neurological Association
Analysis of Diffuse Axonal Injury Using Diffusion Tensor Imaging in Traumatic Brain Injury Patients
Choi, H.-J., Kang, J.-G., Ahn, S., Ohn, S., Jung, K.-I., & Yoo, W. (2010) · Brain & Neurorehabilitation · doi:10.12786/bn.2010.3.2.111
Corticospinal Tract Integrity in Acute Intracerebral Hemorrhage
McCourt, R. (2016) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3tm7284h
Acuff, H. E. (2018) · D-Scholarship@Pitt (University of Pittsburgh)
Prevention of epileptogenesis as a future strategy for the treatment of epilepsy
Bragin, A. (2019) · Almanac of Clinical Medicine · doi:10.18786/2072-0505-2019-47-028
Degenerative Diseases of the CNS
Capizzano, A. A., Moritani, T., & Capizzano, J. N. (2021) · Springer eBooks · doi:10.1007/978-3-030-62120-9_14
Choi, S.-M., Kim, T.-H., Kim, B. C., Lee, S., Park, M., Kim, M., Kim, J.-B., Jeong, G., Seo, J., & Cho, K. (2006) · Journal of the Korean Neurological Association
Nerve Pathways with MR Tractography
Caligiuri, M. E., Cherubini, A., Cosentino, C., Amato, F., Scarabino, T., & Sabatini, U. (2017) · Springer eBooks · doi:10.1007/978-3-319-44174-0_8
Neuroaxonale Schädigung in experimentellen Modellen der multiplen Sklerose
Escher, A. (2008) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-1328
Dörfler, A., Forsting, M., Rijntjes, M., & Weiller, C. (2006) · Springer eBooks · doi:10.1007/3-540-31176-9_7
Self-citationStructure of the Motor Descending Pathways Correlates with the Temporal Kinematics of Hand Movements
Begliomini, C., Ceccarini, F., Dell’Acqua, V. P., Budisavljević, S., & Castiello, U. (2022) · Biology · doi:10.3390/biology11101482
“Furthermore, the reduction of FA within the CST, interpreted as white matter disintegration, was associated with the severity of the motor deficits following stroke lesion [99] and with the possibility of recovery [97].”
BackgroundUlloa, P., Méthot, V., Wottschel, V., & Koch, M. (2023) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-022-01058-8
Self-citationNägele, F. L., Petersen, M., Mayer, C., Bönstrup, M., Schulz, R., Gerloff, C. P., Thomalla, G., & Cheng, B. (2023) · medRxiv · doi:10.1101/2023.04.14.23288593
“, has been shown to be correlated with motor function.(16,17) Whereas these tract-specific investigations provide plausible and important neuroanatomical explanations for structural brain changes and clinical outcomes, the role of the local tissue environment within and surrounding the primary ischemic lesion remains…”
Self-citationNeuroanatomical variation in Parkinson’s disease motor subtypes
Boonstra, J. T. (2023) · Research Publications (Maastricht University) · doi:10.26481/dis.20230626jb
Zheng, S., Lin, Q., Zhang, M., Liu, H., Yong He, A., & Lu, J. (2023) · Current Medical Imaging Formerly Current Medical Imaging Reviews · doi:10.2174/0115734056247080231116111402
Gizatullin, R. R., Akhmadeeva, L. R., Baykov, D. E., et al. (2024) · Ulyanovsk Medico-biological Journal · doi:10.34014/2227-1848-2024-3-6-16
Research on Diffusion Kurtosis Imaging of the Brain Based on Deep Learning
Chen, R., Yue, J., Li, R., & Jia, Z. (2025) · IEEE Access · doi:10.1109/access.2025.3561035
“Analysis methods derived from diffusion-weighted imaging can help reveal the trend of microstructural changes in brain tissue in patients with diseases in the clinic, such as strokes [1], epilepsy [2], brain tumors [3], [4], amyotrophic lateral sclerosis [5], [6], and neurodegenerative diseases [7].”
Chen, X., Liu, M., Yang, X., Yue, M., Yu, H., Wang, H., Wang, Z., Shi, J., & Qiu, Y. (2025) · Frontiers in Neurology · doi:10.3389/fneur.2025.1579598
Advanced Imaging Techniques in Neurovisualisation
Borthakur, D., & Dada, R. (2025) · Biomedical visualization · doi:10.1007/978-3-032-07380-8_3
Thuen, M. (2008) · NORA - Norwegian Open Research Archives
Li, Y., Yu, Z., Wu, P., & Chen, J. (2021) · Figshare · doi:10.6084/m9.figshare.15095465
Boonstra, J. T., Michielse, S., Temel, Y., Jahanshahi, A., & Roebroeck, A. F. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107266
Park, J., Lee, S., Na, Y., et al. (2026) · Clinical Neurophysiology · doi:10.1016/j.clinph.2026.2111848
Vargas, P. (2014) · doi:10.70675/f208b3b1z7240z4e01zbd8bz2a29dbbaf100
“A decrease in FA values in the ipsilesional CST is known to be associated with and even predictive of poststroke recovery (4,6,10,31).”
Moulton, E. J. (2019) · theses.fr (ABES) · doi:10.70675/18d80f29zd496z442dz89c6z78820fe340bf
Neuronal injury and axonal degeneration: Pathologic mechanisms and findings beyond Wallerian changes
Zamora, E., & Zamora, C. (2026) · Current Problems in Diagnostic Radiology · doi:10.1067/j.cpradiol.2026.04.017
Teaching NeuroImage: Latent Axonal Degeneration in Patient With Anterior Circulation Stroke
Sowers, B., Thomas, L. C., Turtzo, L. C., et al. (2026) · Neurology · doi:10.1212/wnl.0000000000218245
Bottaro, F., Enrico, P., Cabasino, C., Caprioli, F., Brambilla, P., & Delvecchio, G. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.122287
Zhao, X., Yan, Y., Wang, S., Zhang, Y., Wang, X., Chen, L., Yuan, M., Ju, Y., & Sun, S. (2026) · Neuroradiology · doi:10.1007/s00234-026-04131-4
Network-oriented neurorehabilitation after stroke: a paradigmatic approach
Conti, F., Gassert, R., Doganci, N., & Guggisberg, A. G. (2026) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-026-02052-0
Zhang, M., Xie, L., Zhou, H., et al. (2026) · Journal of Neuro-Oncology · doi:10.1007/s11060-026-05829-4
Nerve Pathways with MR Tractography
Cherubini, A., Luccichenti, G., Fasano, F., Hagberg, G. E., Péran, P., Salle, F. D., Esposito, F., Scarabino, T., & Sabatini, U. (2006) · Springer eBooks · doi:10.1007/3-540-31776-7_8
Metadata
- Authors
- Thomalla, G., Glauche, V., Koch, M. A., Beaulieu, C., Weiller, C., & Röther, J.
- Affiliations
- University Medical Center Hamburg-Eppendorf (DE)
- University of Alberta (CA)
- Corresponding author
- Thomalla, Götz
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2004-08
- Volume
- 22
- Issue
- 4
- Pages
- 1767-1774
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2059177186
- Cited by
- 438
- References
- 46
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 13 · 2023: 15 · 2022: 12 · 2021: 24 · 2020: 15 · 2019: 17 · 2018: 15 · 2017: 16 · 2016: 23 · 2015: 18 · 2014: 33 · 2013: 25 · 2012: 21
- FWCI
- 18.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Clinical Neurology › Acute Ischemic Stroke Management
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- Wallerian degeneration, corticospinal tract, ischemic stroke, middle cerebral artery stroke, diffusion tensor imaging, fractional anisotropy, motor impairment, cerebral peduncle
- MeSH terms
- Aged, Axons, Dominance, Cerebral, Female, Humans, Image Processing, Computer-Assisted, Male, Middle Aged, Movement Disorders, Neurologic Examination, Prognosis, Pyramidal Tracts, Reference Values, Statistics as Topic, Wallerian Degeneration, Anisotropy, Infarction, Middle Cerebral Artery, Diffusion Magnetic Resonance Imaging
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