Table_1_Assessment of Neuroprotective Effects of Low-Intensity Transcranial Ultrasound Stimulation in a Parkinson’s Disease Rat Model by Fractional Anisotropy and Relaxation Time T2∗ Value.docx
Background: Low-intensity transcranial ultrasound (LITUS) may have a therapeutic effect on Parkinson’s disease (PD) patients to some extent. Fractional anisotropy (FA) and relaxation time T2∗ that indicate the integrity of fiber tracts and iron concentrations in brain tissue have been used to evaluate the therapeutic effects of LITUS.
Purpose: This study aims to use FA and T2∗ values to evaluate the therapeutic effects of LITUS in a PD rat model.
Materials and Methods: Twenty Sprague-Dawley rats were randomly divided into a hemi-PD group (n = 10) and a LITUS group (n = 10). Single-shot spin echo echo-planar imaging and fast low-angle shot T2WI sequences at 3.0 T were used. The FA and T2∗ values on the right side of the substantia nigra (SN) pars compacta were measured to evaluate the therapeutic effect of LITUS in the rats.
Results: One week after PD-like signs were induced in the rats, the FA value in the LITUS group was significantly larger compared with the PD group (0.214 ± 0.027 vs. 0.340 ± 0.032, t = 2.864, P = 0.011). At the 5th and 6th weeks, the FA values in the LITUS group were significantly smaller compared with the PD group (5th week: 0.290 ± 0.037 vs. 0.405 ± 0.027, t = 2.385, P = 0.030; 6th week: 0.299 ± 0.021 vs. 0.525 ± 0.028, t = 6.620, P < 0.0001). In the 5th and 6th weeks, the T2∗ values in the injected right SN of the LITUS group were significantly higher compared with the PD group (5th week, 12.169 ± 0.826 in the LITUS group vs. 7.550 ± 0.824 in the PD group; 6th week, 11.749 ± 0.615 in the LITUS group vs. 7.550 ± 0.849 in the PD group).
Conclusion: LITUS had neuroprotective effects and can reduce the damage of 6-OHDA-induced neurotoxicity in hemi-PD rats. The combination of FA and T2∗ assessments can potentially serve as a new and effective method to evaluate the therapeutic effects of LITUS.
History
References
- https://doi.org//10.1002/jmri.10362
- https://doi.org//10.1016/j.pharmthera.2013.01.004
- https://doi.org//10.1007/s00702-018-1906-0
- https://doi.org//10.1001/jama.2019.22360
- https://doi.org//10.1016/j.apmr.2016.12.006
- https://doi.org//10.1177/0963689719891134
- https://doi.org//10.1016/j.jns.2017.04.035
- https://doi.org//10.1080/00207454.2020.1753727
- https://doi.org//10.1007/978-3-211-45295-0_19
- https://doi.org//10.1038/srep19579
- https://doi.org//10.3389/fnins.2017.00409
- https://doi.org//10.1002/jmri.25900
- https://doi.org//10.1016/j.neuint.2017.01.004
- https://doi.org//10.1016/j.mri.2004.10.001
- https://doi.org//10.1016/j.yebeh.2015.04.008
- https://doi.org//10.1007/s12035-016-0104-z
- https://doi.org//10.1038/s41598-017-13572-0
- https://doi.org//10.1038/d41586-017-05479-7
- https://doi.org//10.1007/s00702-011-0753-z
- https://doi.org//10.1016/j.expneurol.2013.11.015
- https://doi.org//10.1016/j.brainresbull.2018.12.004
- https://doi.org//10.4103/1673-5374.213559
- https://doi.org//10.1093/cercor/bhw169
- https://doi.org//10.1021/acs.nanolett.7b00616
- https://doi.org//10.1088/1741-2560/13/3/031003
- https://doi.org//10.1371/journal.pone.0202597
- https://doi.org//10.1007/s10072-017-3099-y
- https://doi.org//10.1186/s13041-017-0340-9
- https://doi.org//10.1073/pnas.111085198
- https://doi.org//10.1080/14656566.2019.1612877
- https://doi.org//10.3171/2016.6.FOCUS16192
- https://doi.org//10.1007/s13311-020-00924-4
- https://doi.org//10.1016/j.neuropharm.2017.01.027
- https://doi.org//10.1177/1091581820966315
- https://doi.org//10.1038/jcbfm.2012.186
- https://doi.org//10.1007/bf00294234
- https://doi.org//10.1002/mds.27952
- https://doi.org//10.1038/srep33762
- https://doi.org//10.1016/j.neuroimage.2020.116597
- https://doi.org//10.1093/cercor/bhy187
- https://doi.org//10.1038/sj.cdd.4401682
- https://doi.org//10.1016/j.neuroscience.2013.09.037
- https://doi.org//10.1002/jbt.22631
- https://doi.org//10.1002/brb3.1827
- https://doi.org//10.34133/2019/1748489
Usage metrics
Read the peer-reviewed publication
Categories
- Radiology and Organ Imaging
- Decision Making
- Clinical Nursing: Tertiary (Rehabilitative)
- Image Processing
- Autonomic Nervous System
- Cellular Nervous System
- Biological Engineering
- Sensory Systems
- Central Nervous System
- Neuroscience
- Endocrinology
- Artificial Intelligence and Image Processing
- Signal Processing
- Rehabilitation Engineering
- Biomedical Engineering not elsewhere classified
- Stem Cells
- Neurogenetics
- Developmental Biology