دانلود مقاله ISI انگلیسی شماره 103320
ترجمه فارسی عنوان مقاله

یک مرکز عصبی رایج، از طریق همکاری با شبکه های خاص وظیفه، درگیری های نحوی و غیر سینتیک را حل می کند

عنوان انگلیسی
A common neural hub resolves syntactic and non-syntactic conflict through cooperation with task-specific networks
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
103320 2017 15 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Brain and Language, Volume 166, March 2017, Pages 63-77

ترجمه کلمات کلیدی
کنترل شناختی، پردازش زبان، دامنه عمومی، دامنه اختصاصی، اتصال به شبکه،
کلمات کلیدی انگلیسی
Cognitive control; Language processing; Domain-generality; Domain-specificity; Network connectivity;
پیش نمایش مقاله
پیش نمایش مقاله  یک مرکز عصبی رایج، از طریق همکاری با شبکه های خاص وظیفه، درگیری های نحوی و غیر سینتیک را حل می کند

چکیده انگلیسی

Regions within the left inferior frontal gyrus (LIFG) have simultaneously been implicated in syntactic processing and cognitive control. Accounts attempting to unify LIFG’s function hypothesize that, during comprehension, cognitive control resolves conflict between incompatible representations of sentence meaning. Some studies demonstrate co-localized activity within LIFG for syntactic and non-syntactic conflict resolution, suggesting domain-generality, but others show non-overlapping activity, suggesting domain-specific cognitive control and/or regions that respond uniquely to syntax. We propose however that examining exclusive activation sites for certain contrasts creates a false dichotomy: both domain-general and domain-specific neural machinery must coordinate to facilitate conflict resolution across domains. Here, subjects completed four diverse tasks involving conflict —one syntactic, three non-syntactic— while undergoing fMRI. Though LIFG consistently activated within individuals during conflict processing, functional connectivity analyses revealed task-specific coordination with distinct brain networks. Thus, LIFG may function as a conflict-resolution “hub” that cooperates with specialized neural systems according to information content.