کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7285881 1474113 2016 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prosodic expectations in silent reading: ERP evidence from rhyme scheme and semantic congruence in classic Chinese poems
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
Prosodic expectations in silent reading: ERP evidence from rhyme scheme and semantic congruence in classic Chinese poems
چکیده انگلیسی
In an ERP study, classic Chinese poems with a well-known rhyme scheme were used to generate an expectation of a rhyme in the absence of an expectation for a specific character. Critical characters were either consistent or inconsistent with the expected rhyme scheme and semantically congruent or incongruent with the content of the poem. These stimuli allowed us to examine whether a top-down rhyme scheme expectation would affect relatively early components of the ERP associated with character-to-sound mapping (P200) and lexically-mediated semantic processing (N400). The ERP data revealed that rhyme scheme congruence, but not semantic congruence modulated the P200: rhyme-incongruent characters elicited a P200 effect across the head demonstrating that top-down expectations influence early phonological coding of the character before lexical-semantic processing. Rhyme scheme incongruence also produced a right-lateralized N400-like effect. Moreover, compared to semantically congruous poems, semantically incongruous poems produced a larger N400 response only when the character was consistent with the expected rhyme scheme. The results suggest that top-down prosodic expectations can modulate early phonological processing in visual word recognition, indicating that prosodic expectations might play an important role in silent reading. They also suggest that semantic processing is influenced by general knowledge of text genre.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Cognition - Volume 154, September 2016, Pages 11-21
نویسندگان
, , , , , ,