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Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes
| Title: | Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes |
| Authors: | Li, Xinnan Browse this author | | Sawamura, Daisuke Browse this author | | Hamaguchi, Hiroyuki Browse this author | | Urushibata, Yuta Browse this author | | Feiweier, Thorsten Browse this author | | Ogawa, Keita Browse this author | | Tha, Khin Khin Browse this author →KAKEN DB |
| Keywords: | double diffusion encoding | | microscopic fractional anisotropy | | microstructure | | cognitive training |
| Issue Date: | Feb-2022 |
| Publisher: | MDPI |
| Journal Title: | Tomography |
| Volume: | 8 |
| Issue: | 1 |
| Start Page: | 33 |
| End Page: | 44 |
| Publisher DOI: | 10.3390/tomography8010004 |
| Abstract: | Cognitive training-induced neuroplastic brain changes have been reported. This prospective study evaluated whether microscopic fractional anisotropy (mu FA) derived from double diffusion encoding (DDE) MRI could detect brain changes following a 4 week cognitive training. Twenty-nine healthy volunteers were recruited and randomly assigned into the training (n = 21) and control (n = 8) groups. Both groups underwent brain MRI including DDE MRI and 3D-T1-weighted imaging twice at an interval of 4-6 weeks, during which the former underwent the training. The training consisted of hour-long dual N-back and attention network tasks conducted five days per week. Training and time-related changes of DDE MRI indices (mu FA, fractional anisotropy (FA), and mean diffusivity (MD)) and the gray and white matter volume were evaluated using mixed-design analysis of variance. In addition, any significant imaging indices were tested for correlation with cognitive training-induced task performance changes, using partial correlation analyses. mu FA in the left middle frontal gyrus decreased upon the training (53 voxels, uncorrected p < 0.001), which correlated moderately with response time changes in the orienting component of attention (r = -0.521, uncorrected p = 0.032). No significant training and time-related changes were observed for other imaging indices. Thus, mu FA can become a sensitive index to detect cognitive training-induced neuroplastic changes. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/85511 |
| Appears in Collections: | 医学院・医学研究院 (Graduate School of Medicine / Faculty of Medicine) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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