NCT02774356

Brief Summary

This mentored student research project is funded by the Graduate Research Partnership Program with a projected timeline for data collection in the summer of 2015. Previous research has shown that language experience alters the way the human brain processes speech information. This phenomenon takes place very early in life and is referred to as Native Language Neural Commitment. For instance, as the Japanese language does not have the l-r speech sound contrast, Japanese infants start to show difficulty in hearing differences between the English l and r sounds at 12 months of age but not when they were at 6 months old. Learning the l-r distinction later in life proves to be very difficult for the Japanese school students and adults. Brain imaging studies have further revealed specific brain regions that are changed by language learning. But the evidence in support of the Native Language Neural Commitment theory is based on cortical-level measures. The proposed study extends the measurement to the subcortical level at the brainstem. The target language that the investigators are interested in studying is Mandarin Chinese, which is known for its use of lexical tones to express different words. For instance, the Chinese syllable "ma" means "mother" when it is spoken with a flat tone, and it means "hemp" when spoken with a rising tone. English, by contrast, does not employ lexical tones, and it is considered a non-tonal language. Does the Chinese learning experience fundamental change the way that pitch information is coded in the human brain? Does it happen at both cortical and subcortical levels? Previous research has shown evidence for a positive answer to both questions. But the direct evidence for brain-behavior correlations at the subcortical level is still missing. The proposed cross-language study will test Chinese-speaking and English-speaking adults to investigate Native Language Neural Commitment at the subcortical level. The investigators are interested in differences in the two subject populations by examining the relationship between brainstem pitch tracking and behavioral pitch perception in linguistic and nonlinguistic stimuli. The results of the proposed project will contribute to the understanding the role of the subcortical brainstem in Native Language Neural Commitment, which have significant implications for the development of auditory/speech training programs and assessment tools utilizing the brainstem frequency following measure to monitor progress in second language learning and test clinical populations.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
36

participants targeted

Target at P25-P50 for all trials

Timeline
Completed

Started Jul 2015

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 9, 2015

Completed
22 days until next milestone

Study Start

First participant enrolled

July 1, 2015

Completed
11 months until next milestone

First Posted

Study publicly available on registry

May 17, 2016

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2016

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2016

Completed
Last Updated

January 18, 2017

Status Verified

January 1, 2017

Enrollment Period

1.4 years

First QC Date

June 9, 2015

Last Update Submit

January 17, 2017

Conditions

Keywords

BrainstemEncodingPitch

Outcome Measures

Primary Outcomes (5)

  • Pitch strength of Brainstem EEG (electroencephalography) responses

    EEG signals to pitch changes in speech and nonspeech sounds are analyzed to obtain the brainstem frequency following responses (FFRs). Autocorrelation method will be applied to the FFRs to quantify each participant's brainstem pitch strength. Higher average autocorrelation value indicates greater pitch strength. This EEG measure is to see whether tonal-language speakers and nontonal language speakers differ in brainstem encoding of pitch information.

    Outcome will be measured at one 1.5-hr session after the participant is recruited.

  • Reaction time in millesecond for speech perception of syllables with varying pitch contour

    This behavioral measure in terms of syllable perception is to test whether syllabic perception is influenced by pitch information and whether tonal-language speakers' sensitivity towards pitch differences would affect the speech perception differently.

    Outcome will be measured at one 1.5-hr session after the participant is recruited.

  • Correlation between the EEG and the Behavioral measures

    Outcome will be measured at one 1.5-hr session after the participant is recruited.

  • Pitch tracking accuracy of Brainstem EEG (electroencephalography) responses

    Strength of stimulus-to-response correlation will assessed. Higher correlation coefficient between the fundamental frequency of the stimulus and that of the FFR response will indicate greater accuracy of the brainstem pitch tracking. This EEG measure is to see whether tonal-language speakers and nontonal language speakers differ in brainstem encoding of pitch information.

    Outcome will be measured at one 1.5-hr session after the participant is recruited.

  • Duration estimate of syllables with varying pitch contour

    This behavioral measure in terms of syllable duration estimation is to test whether duration estimation is influenced by pitch information and whether tonal-language speakers' sensitivity towards pitch differences would affect the duration estimation differently.

    Outcome will be measured at one 1.5-hr session after the participant is recruited.

Study Arms (2)

Native Chinese speakers

Native English speakers without experience of a tonal language

Eligibility Criteria

Age18 Years - 50 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)
Sampling MethodNon-Probability Sample
Study Population

Normal healthy adult population.

You may qualify if:

  • Native Mandarin Chinese speakers
  • Native English speakers
  • Non-musicians.
  • English speakers must have no prior experience with a tonal language.
  • Normal hearing
  • Age range to 18-50.

You may not qualify if:

  • Speech-language-hearing disorders, neurophysiological/psychiatric conditions, including stroke or brain injuries, which would prevent the subject from sitting still and performing the experimental tasks.
  • Subjects with three or more than three years of musical practice/training will be excluded.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Zhang Lab at Department of Speech-Language-Hearing Sciences

Minneapolis, Minnesota, 55455, United States

Location

Related Publications (5)

  • Krishnan A, Xu Y, Gandour J, Cariani P. Encoding of pitch in the human brainstem is sensitive to language experience. Brain Res Cogn Brain Res. 2005 Sep;25(1):161-8. doi: 10.1016/j.cogbrainres.2005.05.004.

    PMID: 15935624BACKGROUND
  • Zhang Y, Kuhl PK, Imada T, Kotani M, Tohkura Y. Effects of language experience: neural commitment to language-specific auditory patterns. Neuroimage. 2005 Jul 1;26(3):703-20. doi: 10.1016/j.neuroimage.2005.02.040. Epub 2005 Apr 13.

    PMID: 15955480BACKGROUND
  • Bidelman GM, Gandour JT, Krishnan A. Musicians and tone-language speakers share enhanced brainstem encoding but not perceptual benefits for musical pitch. Brain Cogn. 2011 Oct;77(1):1-10. doi: 10.1016/j.bandc.2011.07.006. Epub 2011 Aug 10.

    PMID: 21835531BACKGROUND
  • Marmel F, Linley D, Carlyon RP, Gockel HE, Hopkins K, Plack CJ. Subcortical neural synchrony and absolute thresholds predict frequency discrimination independently. J Assoc Res Otolaryngol. 2013 Oct;14(5):757-66. doi: 10.1007/s10162-013-0402-3. Epub 2013 Jun 13.

    PMID: 23760984BACKGROUND
  • Xu Q, Gong Q. Frequency difference beyond behavioral limen reflected by frequency following response of human auditory Brainstem. Biomed Eng Online. 2014 Aug 9;13:114. doi: 10.1186/1475-925X-13-114.

    PMID: 25108552BACKGROUND

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 9, 2015

First Posted

May 17, 2016

Study Start

July 1, 2015

Primary Completion

December 1, 2016

Study Completion

December 1, 2016

Last Updated

January 18, 2017

Record last verified: 2017-01

Data Sharing

IPD Sharing
Will not share

Locations