Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Xinnan, Sawamura, Daisuke, Hamaguchi, Hiroyuki, Urushibata, Yuta, Feiweier, Thorsten, Ogawa, Keita, Tha, Khin Khin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784639591664320512
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
work_keys_str_mv AT lixinnan microscopicfractionalanisotropydetectscognitivetraininginducedmicrostructuralbrainchanges
AT sawamuradaisuke microscopicfractionalanisotropydetectscognitivetraininginducedmicrostructuralbrainchanges
AT hamaguchihiroyuki microscopicfractionalanisotropydetectscognitivetraininginducedmicrostructuralbrainchanges
AT urushibatayuta microscopicfractionalanisotropydetectscognitivetraininginducedmicrostructuralbrainchanges
AT feiweierthorsten microscopicfractionalanisotropydetectscognitivetraininginducedmicrostructuralbrainchanges
AT ogawakeita microscopicfractionalanisotropydetectscognitivetraininginducedmicrostructuralbrainchanges
AT thakhinkhin microscopicfractionalanisotropydetectscognitivetraininginducedmicrostructuralbrainchanges