Whole-brain functional connectivity during acquisition of novel grammar: Distinct functional networks depend on language learning abilities

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• 作者：Olga Kepinska^a ; ^b ; ^{o.kepinska@hum.leidenuniv.nl} ; Mischa de Rover^b ; ^c ; ^d ; Johanneke Caspers^a ; ^b ; Niels O. Schiller^a ; ^b
• 关键词：AGL ; artificial grammar learning ; BOLD ; blood-oxygenation-level-dependent ; DMN ; default mode network ; EPI ; echo-planar images ; FEAT ; FMRI Expert Analysis Tool ; fMRI ; functional magnetic resonance imaging ; IC ; independent component ; ICA ; independent component analysis ; IFG ; inferior frontal gyrus ; L2 ; second language ; LAA ; language analytical ability ; MELODIC ; Multivariate Exploratory Linear Decomposition into Independent Components ; PCA ; principal component analysis ; ROI ; region of interest ; SLA
• 刊名：Behavioural Brain Research
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：320
• 期：Complete
• 页码：333-346
• 全文大小：2401 K
• 卷排序：320

文摘

We investigate individual differences in artificial grammar learning during fMRI. A data-driven approach to functional connectivity of the brain was adopted. Data collected during the task were decomposed into maps representing separate cognitive processes. We conclude that engagement of brain’s networks during grammar acquisition is coupled with one’s language learning abilities.