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Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788549/ https://www.ncbi.nlm.nih.gov/pubmed/35076639 http://dx.doi.org/10.3390/tomography8010004 |
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author | Li, Xinnan Sawamura, Daisuke Hamaguchi, Hiroyuki Urushibata, Yuta Feiweier, Thorsten Ogawa, Keita Tha, Khin Khin |
author_facet | Li, Xinnan Sawamura, Daisuke Hamaguchi, Hiroyuki Urushibata, Yuta Feiweier, Thorsten Ogawa, Keita Tha, Khin Khin |
author_sort | Li, Xinnan |
collection | PubMed |
description | 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 < 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, μFA can become a sensitive index to detect cognitive training-induced neuroplastic changes. |
format | Online Article Text |
id | pubmed-8788549 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87885492022-01-26 Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes Li, Xinnan Sawamura, Daisuke Hamaguchi, Hiroyuki Urushibata, Yuta Feiweier, Thorsten Ogawa, Keita Tha, Khin Khin Tomography Article 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 < 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, μFA can become a sensitive index to detect cognitive training-induced neuroplastic changes. MDPI 2022-01-01 /pmc/articles/PMC8788549/ /pubmed/35076639 http://dx.doi.org/10.3390/tomography8010004 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Xinnan Sawamura, Daisuke Hamaguchi, Hiroyuki Urushibata, Yuta Feiweier, Thorsten Ogawa, Keita Tha, Khin Khin Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes |
title | Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes |
title_full | Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes |
title_fullStr | Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes |
title_full_unstemmed | Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes |
title_short | Microscopic Fractional Anisotropy Detects Cognitive Training-Induced Microstructural Brain Changes |
title_sort | microscopic fractional anisotropy detects cognitive training-induced microstructural brain changes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788549/ https://www.ncbi.nlm.nih.gov/pubmed/35076639 http://dx.doi.org/10.3390/tomography8010004 |
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