Clinical applicability of automated tractography for stroke rehabilitation: Z-score conversion of fractional anisotropy
Author:
Affiliation:
1. Department of Rehabilitation Medicine, Nishinomiya Kyoritsu Neurosurgical Hospital: 11-1 Imazu-Yamanaka-cho, Nishinomiya, Hyogo 663-8211, Japan
2. Department of Rehabilitation Medicine, School of Medicine, Hyogo Medical University, Japan
Publisher
Society of Physical Therapy Science
Link
https://www.jstage.jst.go.jp/article/jpts/36/5/36_2024-001/_pdf
Reference26 articles.
1. 1) Boyd LA, Hayward KS, Ward NS, et al.: Biomarkers of stroke recovery: consensus-based core recommendations from the stroke recovery and rehabilitation roundtable. Int J Stroke, 2017, 12: 480–493.
2. 2) Guggisberg AG, Koch PJ, Hummel FC, et al.: Brain networks and their relevance for stroke rehabilitation. Clin Neurophysiol, 2019, 130: 1098–1124.
3. 3) Jones DK: Studying connections in the living human brain with diffusion MRI. Cortex, 2008, 44: 936–952.
4. 4) Smith SM, Jenkinson M, Johansen-Berg H, et al.: Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage, 2006, 31: 1487–1505.
5. 5) Warrington S, Bryant KL, Khrapitchev AA, et al.: XTRACT—standardised protocols for automated tractography in the human and macaque brain. Neuroimage, 2020, 217: 116923.
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