Investigation into white matter microstructure differences in visual training by using an automated fiber tract subclassification segmentation quantification method-Reference-Cited by-同舟云学术

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Investigation into white matter microstructure differences in visual training by using an automated fiber tract subclassification segmentation quantification method

Published:2024-01 Issue: Volume:821 Page:137574
ISSN:0304-3940
Container-title:Neuroscience Letters
language:en
Short-container-title:Neuroscience Letters

Author:

Zeng Qingrun,Yu Jiangli^ORCID,Hu Qiming,Yin Kuiying,Li Qixue,Huang Jiahao,Xie Lei,Wang Jingqiang,Zhang Chengzhe,Wang Jiafeng,Zhang Jiawei,Feng Yuanjing^ORCID

Publisher

Elsevier BV

Subject

General Neuroscience

Reference40 articles.

1. A feasibility study with image-based rendered virtual reality in patients with mild cognitive impairment and dementia;Manera;PLoS One,2016

2. Modulation of functional connectivity in auditory-motor networks in musicians compared with nonmusicians;Palomar-Garcia;Cereb. Cortex,2017

3. Brain signatures of early lexical and morphological learning of a new language;Havas;Neuropsychologia,2017

4. Training of working memory impacts structural connectivity;Takeuchi;J. Neurosci.,2010

5. Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification;Hua;Neuroimage,2008

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