Tomography (Jan 2022)

Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes

  • Xinnan Li,
  • Daisuke Sawamura,
  • Hiroyuki Hamaguchi,
  • Yuta Urushibata,
  • Thorsten Feiweier,
  • Keita Ogawa,
  • Khin Khin Tha

DOI
https://doi.org/10.3390/tomography8010004
Journal volume & issue
Vol. 8, no. 1
pp. 33 – 44

Abstract

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Cognitive training-induced neuroplastic brain changes have been reported. This prospective study evaluated whether microscopic fractional anisotropy (μFA) 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 (μFA, 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. μFA in the left middle frontal gyrus decreased upon the training (53 voxels, uncorrected p p = 0.032). No significant training and time-related changes were observed for other imaging indices. Thus, μFA can become a sensitive index to detect cognitive training-induced neuroplastic changes.

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