Neural Correlates of Handwriting Effects in L2 Learners

Overview

Journal Front Psychol

Date 2022 Aug 1

PMID 35911029

Authors

Yifei Li

Connie Qun Guan

Affiliations

Soon will be listed here.

Abstract

Learning to write involves integrating motor production and visual perception to develop orthographic representations. This study tries to test the effect of hand movement training as a pathway to neural correlates for L2 Chinese and L2 English readers. Twenty L2 Chinese and 20 L2 English (n = 20) adults participated in both behavioral and electroencephalogram (EEG) experiments. We designed six learning conditions: Hand Writing Chinese (HC), Viewing Chinese (VC), Drawing followed by Character Recognition in Chinese (DC), Hand Writing English (HE), Viewing English (VE), and Drawing followed by Word Recognition in English (DE). Behavioral and EEG results demonstrated that drawing facilitated visual word recognition in Chinese compared to viewing. The findings imply that hand movement could strengthen the neural processing and improve behavioral performance in Chinese character recognition for L2 Chinese learners and English word recognition for L2 Chinese learners. Furthermore, N170 amplitude at the drawing condition was positively correlated with N400 amplitudes. Thus, the early visual word recognition neural indicator (e.g., N170) was predictive of the late neural indicator of semantic processing (e.g., N400), suggesting that hand movement facilitates the neural correlates between early word recognition and later comprehension.

References

Tan L, Spinks J, Feng C, Siok W, Perfetti C, Xiong J . Neural systems of second language reading are shaped by native language. Hum Brain Mapp. 2003; 18(3):158-66. PMC: 6872007. DOI: 10.1002/hbm.10089. View

Maurer U, Brandeis D, McCandliss B . Fast, visual specialization for reading in English revealed by the topography of the N170 ERP response. Behav Brain Funct. 2005; 1:13. PMC: 1208852. DOI: 10.1186/1744-9081-1-13. View

Grainger J, Holcomb P . Watching the Word Go by: On the Time-course of Component Processes in Visual Word Recognition. Lang Linguist Compass. 2009; 3(1):128-156. PMC: 2740997. DOI: 10.1111/j.1749-818X.2008.00121.x. View

Marian V, Blumenfeld H, Kaushanskaya M . The Language Experience and Proficiency Questionnaire (LEAP-Q): assessing language profiles in bilinguals and multilinguals. J Speech Lang Hear Res. 2007; 50(4):940-67. DOI: 10.1044/1092-4388(2007/067). View

Dien J, Frishkoff G, Cerbone A, Tucker D . Parametric analysis of event-related potentials in semantic comprehension: evidence for parallel brain mechanisms. Brain Res Cogn Brain Res. 2002; 15(2):137-53. DOI: 10.1016/s0926-6410(02)00147-7. View

Tan L, Xu M, Chang C, Siok W . China's language input system in the digital age affects children's reading development. Proc Natl Acad Sci U S A. 2013; 110(3):1119-23. PMC: 3549123. DOI: 10.1073/pnas.1213586110. View

Guan C, Wang Y . The Effect of Handwriting Training on Language Learning Among Deaf Children and Their Matched Hearing Peers in China. Am Ann Deaf. 2017; 162(3):265-276. DOI: 10.1353/aad.2017.0025. View

Barber H, Kutas M . Interplay between computational models and cognitive electrophysiology in visual word recognition. Brain Res Rev. 2006; 53(1):98-123. DOI: 10.1016/j.brainresrev.2006.07.002. View

Deacon D, Dynowska A, Ritter W, Grose-Fifer J . Repetition and semantic priming of nonwords: implications for theories of N400 and word recognition. Psychophysiology. 2003; 41(1):60-74. DOI: 10.1111/1469-8986.00120. View

10.

Fritz C, Morris P, Richler J . Effect size estimates: current use, calculations, and interpretation. J Exp Psychol Gen. 2011; 141(1):2-18. DOI: 10.1037/a0024338. View

11.

Zhao J, Li S, Lin S, Cao X, He S, Weng X . Selectivity of N170 in the left hemisphere as an electrophysiological marker for expertise in reading Chinese. Neurosci Bull. 2012; 28(5):577-84. PMC: 5561926. DOI: 10.1007/s12264-012-1274-y. View

12.

Guan C, Fraundorf S . Cross-Linguistic Word Recognition Development Among Chinese Children: A Multilevel Linear Mixed-Effects Modeling Approach. Front Psychol. 2020; 11:544. PMC: 7176983. DOI: 10.3389/fpsyg.2020.00544. View

13.

Yum Y, Midgley K, Holcomb P, Grainger J . An ERP study on initial second language vocabulary learning. Psychophysiology. 2014; 51(4):364-73. PMC: 4011998. DOI: 10.1111/psyp.12183. View

14.

Liu Y, Perfetti C . The time course of brain activity in reading English and Chinese: an ERP study of Chinese bilinguals. Hum Brain Mapp. 2003; 18(3):167-75. PMC: 6871937. DOI: 10.1002/hbm.10090. View

15.

Palmis S, Velay J, Habib M, Anton J, Nazarian B, Sein J . The handwriting brain in middle childhood. Dev Sci. 2020; 24(2):e13046. DOI: 10.1111/desc.13046. View

16.

James K, Atwood T . The role of sensorimotor learning in the perception of letter-like forms: tracking the causes of neural specialization for letters. Cogn Neuropsychol. 2008; 26(1):91-110. DOI: 10.1080/02643290802425914. View

17.

Sekiyama K, Kanno I, Miura S, Sugita Y . Auditory-visual speech perception examined by fMRI and PET. Neurosci Res. 2003; 47(3):277-87. DOI: 10.1016/s0168-0102(03)00214-1. View

18.

Bentin S, Allison T, Puce A, Perez E, McCarthy G . Electrophysiological Studies of Face Perception in Humans. J Cogn Neurosci. 2010; 8(6):551-565. PMC: 2927138. DOI: 10.1162/jocn.1996.8.6.551. View

19.

Guan C, Li Y, Meng W, Morett L . Curved vs. Straight-Line Handwriting Effects on Word Recognition in Typical and Dyslexic Readers Across Chinese and English. Front Psychol. 2021; 12:745300. PMC: 8580950. DOI: 10.3389/fpsyg.2021.745300. View

20.

Maurer U, Zevin J, McCandliss B . Left-lateralized N170 effects of visual expertise in reading: evidence from Japanese syllabic and logographic scripts. J Cogn Neurosci. 2008; 20(10):1878-91. PMC: 4416222. DOI: 10.1162/jocn.2008.20125. View