1
Hearing Readers Dufau et al., 2015 Participants: Monolingual native English speakers (N=15; M age =29 ) N400 Window Tracking the time-course of visual word recognition using different types of word-like stimuli: An ERP study Polina Krom, Natasja Massa, Karen Emmorey, Katherine J. Midgley, & Phillip J. Holcomb San Diego State University SRS 2019.The research presented here was supported by NSF grant BSC-1756403. Contact: [email protected], [email protected]. o The ability to rapidly recognize visually perceived words is fundamental to skilled reading. o Previous ERP studies have shown that the lateral distribution of the N170 is sensitive to early processing differences between linguistic (i.e., words) and nonlinguistic (i.e., symbol strings) stimuli [1], while later ERP components such as the N400 are sensitive to lexico-semantic processes (i.e., meaningfulness of stimuli) [2]. o In the present study, we sought to investigate the neurocognitive processes involved in visual word recognition and extended the work of Emmorey et al. by incorporating five-letter consonant strings. o We focused on the N170 and the N400, which are negative peaks in the ERP waveform around 170 ms and 400 ms, respectively. [1] Emmorey, K., Midgley, K. J., Kohen, C. B., Sehyr, Z. S., & Holcomb, P. J. (2017). The N170 ERP component differs in laterality, distribution, and association with continuous reading measures for deaf and hearing readers. Neuropsychologia, 106, 298-309. [2] Yum, Y. N., Holcomb, P. J., & Grainger, J. (2011). Words and pictures: An electrophysiological investigation of domain specific processing in native Chinese and English speakers. Neuropsychologia, 49(7), 1910-1922. N170 Window o Collect data from deaf readers and see if we find a symmetrical N170 effect for consonant strings as we do for words in Emmorey et al., (see figure 1b). o Use linear mixed effects regression modeling (LMER) to explore whether our online neural measures of word processing are associated with behavioral reading test scores. o Consonant strings produced a larger N170 over left compared to right occipital sites similar to what Emmorey et al. reported for word stimuli. o At this early point of processing (170 ms), consonant strings are treated as linguistic stimuli. o Symbol strings did not show this asymmetry, therefore suggesting that they are not treated as linguistic units. o Later (300-500 ms) consonant strings differed from words with words showing large lexical-semantic N400 differences. Introduction ERP Results Future Directions References TRUTH KTQFL KTQFL »•}%= Press button to repeats Methods EEG data was recorded continuously from 39 scalp sites and averaged off-line to form ERPs time-locked to word onset. Task: Go/no-go repetition detection Stimuli: Three types of word-like stimuli: v words v consonant strings v symbol strings 100 trials in each condition Conclusions R L 120-240 ms Deaf Readers Emmorey et al., 2017 Hearing Readers Emmorey et al., 2017 Words Symbol Strings Symbol Strings Words Fig. 1 a Fig. 1 b Pz Time (ms) 300-500 ms Symbol Strings Consonant Strings O9/O10 O9/O10 Words Consonant Strings In the N170 time window (120-240 ms) hearing readers produced greater negativity for consonants than symbols at left hemisphere (LH) occipital sites. In the N400 time window (300-500 ms) hearing readers produced greater negativity for words than consonants strings at centro-parietal sites. Pz -3.0µv 3.0µv Left Hemisphere Right Hemisphere R L 2µv 2µv - - 200 200 400 600 The N400 voltage map shows the difference in negativity between words and consonant strings. R L -4.0µv 4.0µv The N170 voltage maps show an asymmetry for consonants strings and a bilateral distribution for symbol strings.

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Hearing Readers Dufau et al., 2015

Participants:Monolingual native English speakers

(N=15; Mage=29 )

N400 Window

Trackingthetime-courseofvisualwordrecognitionusingdifferenttypesofword-likestimuli:AnERPstudy

Polina Krom, Natasja Massa, Karen Emmorey, Katherine J. Midgley, & Phillip J. HolcombSan Diego State University

SRS 2019.The research presented here was supported by NSF grant BSC-1756403. Contact: [email protected], [email protected].

o The ability to rapidly recognize visually perceived words is fundamental to skilled reading.

o Previous ERP studies have shown that the lateral distribution of the N170 is sensitive to early processing differences between linguistic (i.e., words) and nonlinguistic (i.e., symbol strings) stimuli [1], while later ERP components such as the N400 are sensitive to lexico-semantic processes (i.e., meaningfulness of stimuli) [2].

o In the present study, we sought to investigate the neurocognitive processes involved in visual word recognition and extended the work of Emmorey et al. by incorporating five-letter consonant strings.

o We focused on the N170 and the N400, which are negative peaks in the ERP waveform around 170 ms and 400 ms, respectively.

[1] Emmorey, K., Midgley, K. J., Kohen, C. B., Sehyr, Z. S., & Holcomb, P. J. (2017). The N170 ERP component differs in laterality, distribution, and association with continuous reading measures for deaf and hearing readers. Neuropsychologia, 106, 298-309.

[2] Yum, Y. N., Holcomb, P. J., & Grainger, J. (2011). Words and pictures: An electrophysiological investigation of domain specific processing in native Chinese and English speakers. Neuropsychologia, 49(7), 1910-1922.

N170 Window

o Collect data from deaf readers and see if we find a symmetrical N170 effect for consonant strings as we do for words in Emmorey et al., (see figure 1b).

o Use linear mixed effects regression modeling (LMER) to explore whether our online neural measures of word processing are associated with behavioral reading test scores.

o Consonant strings produced a larger N170 over left compared to right occipital sites similar to what Emmorey et al. reported for word stimuli.

o At this early point of processing (170 ms), consonant strings are treated as linguistic stimuli.

o Symbol strings did not show this asymmetry, therefore suggesting that they are not treated as linguistic units.

o Later (300-500 ms) consonant strings differed from words with words showing large lexical-semantic N400 differences.

Introduction ERP Results

Future Directions

References

TRUTH

KTQFL

KTQFL

»•}%=Press button to repeats

Methods

EEG data was recorded continuously from 39 scalp sites

and averaged off-line to form ERPs time-locked to word onset.

Task:Go/no-go repetition detection

Stimuli:Three types of word-like stimuli: v wordsv consonant stringsv symbol strings

100 trials in each condition

Conclusions

RL

120-240 ms

Deaf ReadersEmmorey et al., 2017

Hearing ReadersEmmorey et al., 2017

Words Symbol Strings Symbol StringsWords

Fig. 1 a Fig. 1 b

Pz

Time (ms)

300-500 ms

Symbol StringsConsonant Strings

O9/O10 O9/O10WordsConsonant Strings

In the N170 time window (120-240 ms) hearing readers produced greater negativity for consonants than symbols at left hemisphere (LH) occipital sites.

In the N400 time window (300-500 ms) hearing readers produced greater negativity for words than consonants strings at centro-parietal sites.

Pz

-3.0µv

3.0µv

Left HemisphereRight Hemisphere

RL

2µv2µv

--

200200

400 600

The N400 voltage map shows the difference in negativity between words and consonant strings.

RL

-4.0µv

4.0µv

The N170 voltage maps show an asymmetry for consonants strings and a bilateral distribution for symbol strings.