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Temporal Dynamics of Electroencephalography Microstates Reveal Altered Attention Processing in Individuals With Prelingual Deafness.

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Title: Temporal Dynamics of Electroencephalography Microstates Reveal Altered Attention Processing in Individuals With Prelingual Deafness.
Authors: Zeng, Tongao1,2, Wang, Niannian2, Zhu, Han1, Xiao, Hongli1, Li, Fuxiang1, Li, Hao1,2, Wei, Xin1,3, Chen, Jie4, Yang, Fuyi1 fyyang@spe.ecnu.edu.cn, Ma, Hailin2,5
Source: Journal of Speech, Language & Hearing Research. Sep2025, Vol. 68 Issue 9, p4429-4446. 18p.
Subject Terms: *Data analysis, *Attention, *Experimental design, *Auditory perception, *Sign language, *Cognition, Brain physiology, Pearson correlation (Statistics), Research funding, Electroencephalography, Executive function, Kruskal-Wallis Test, Time series analysis, Descriptive statistics, Deafness, Cluster sampling, Statistics, Data analysis software, Regression analysis, Sensory deprivation, Disease complications
Abstract: Purpose: Brain network dysfunction is associated with many diseases. Electroencephalography (EEG) microstates provide valuable insights into brain dynamics and the connection between abnormal brain activity and cognitive functions. However, few studies have examined the relationship between microstate patterns and attentional functions in deaf individuals. This study explores how hearing loss and sign language experience influence attentional processing in deaf individuals using EEG microstates. Method: Thirty-nine prelingual deaf signers, 39 hearing nonsigners, and 27 hearing signers participated. Resting-state EEG and Attention Network Test data were collected. Using an improved k-means clustering method, microstate time series were generated, and microstate parameters were compared across the groups. Regression analyses assessed correlations between microstate features and attentional functions. Results: Deaf and hearing signers showed similar alerting variability, significantly more stable than hearing nonsigners. Hearing signers activated Microstate C (salience network) more frequently and relied less on Microstate A (auditory network), suggesting that sign language experience influences alerting. Deaf signers displayed lower executive control than both hearing nonsigners and hearing signers, with no significant difference between the latter two groups. Furthermore, deaf signers had reduced activation in Microstate D (attention network), and microstate parameters significantly predicted executive control variability. This suggests that hearing loss disrupts executive control efficiency. However, all three groups performed similarly on orienting functions and Microstate B (visual network), indicating that these functions are unaffected by auditory deprivation or sign language experience. Conclusions: The results suggest that salience network plasticity from sign language experience helps mitigate alerting deficits, while auditory deprivation causes dysfunction in attention networks and executive functions. EEG microstates offer insights into the neurophysiological mechanisms behind sensory deprivation. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Temporal Dynamics of Electroencephalography Microstates Reveal Altered Attention Processing in Individuals With Prelingual Deafness.
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  Data: <searchLink fieldCode="AR" term="%22Zeng%2C+Tongao%22">Zeng, Tongao</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Niannian%22">Wang, Niannian</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Han%22">Zhu, Han</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xiao%2C+Hongli%22">Xiao, Hongli</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Fuxiang%22">Li, Fuxiang</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Hao%22">Li, Hao</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wei%2C+Xin%22">Wei, Xin</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+Jie%22">Chen, Jie</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Yang%2C+Fuyi%22">Yang, Fuyi</searchLink><relatesTo>1</relatesTo><i> fyyang@spe.ecnu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Ma%2C+Hailin%22">Ma, Hailin</searchLink><relatesTo>2,5</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Speech%2C+Language+%26+Hearing+Research%22">Journal of Speech, Language & Hearing Research</searchLink>. Sep2025, Vol. 68 Issue 9, p4429-4446. 18p.
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  Data: *<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Attention%22">Attention</searchLink><br />*<searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br />*<searchLink fieldCode="DE" term="%22Auditory+perception%22">Auditory perception</searchLink><br />*<searchLink fieldCode="DE" term="%22Sign+language%22">Sign language</searchLink><br />*<searchLink fieldCode="DE" term="%22Cognition%22">Cognition</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+physiology%22">Brain physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Executive+function%22">Executive function</searchLink><br /><searchLink fieldCode="DE" term="%22Kruskal-Wallis+Test%22">Kruskal-Wallis Test</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Deafness%22">Deafness</searchLink><br /><searchLink fieldCode="DE" term="%22Cluster+sampling%22">Cluster sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+deprivation%22">Sensory deprivation</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+complications%22">Disease complications</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Brain network dysfunction is associated with many diseases. Electroencephalography (EEG) microstates provide valuable insights into brain dynamics and the connection between abnormal brain activity and cognitive functions. However, few studies have examined the relationship between microstate patterns and attentional functions in deaf individuals. This study explores how hearing loss and sign language experience influence attentional processing in deaf individuals using EEG microstates. Method: Thirty-nine prelingual deaf signers, 39 hearing nonsigners, and 27 hearing signers participated. Resting-state EEG and Attention Network Test data were collected. Using an improved k-means clustering method, microstate time series were generated, and microstate parameters were compared across the groups. Regression analyses assessed correlations between microstate features and attentional functions. Results: Deaf and hearing signers showed similar alerting variability, significantly more stable than hearing nonsigners. Hearing signers activated Microstate C (salience network) more frequently and relied less on Microstate A (auditory network), suggesting that sign language experience influences alerting. Deaf signers displayed lower executive control than both hearing nonsigners and hearing signers, with no significant difference between the latter two groups. Furthermore, deaf signers had reduced activation in Microstate D (attention network), and microstate parameters significantly predicted executive control variability. This suggests that hearing loss disrupts executive control efficiency. However, all three groups performed similarly on orienting functions and Microstate B (visual network), indicating that these functions are unaffected by auditory deprivation or sign language experience. Conclusions: The results suggest that salience network plasticity from sign language experience helps mitigate alerting deficits, while auditory deprivation causes dysfunction in attention networks and executive functions. EEG microstates offer insights into the neurophysiological mechanisms behind sensory deprivation. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1044/2025_JSLHR-24-00647
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        Text: English
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        Type: general
      – SubjectFull: Attention
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      – SubjectFull: Experimental design
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      – SubjectFull: Auditory perception
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      – SubjectFull: Sign language
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      – SubjectFull: Cognition
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      – SubjectFull: Research funding
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      – SubjectFull: Electroencephalography
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      – SubjectFull: Executive function
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      – SubjectFull: Kruskal-Wallis Test
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      – SubjectFull: Time series analysis
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Deafness
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      – SubjectFull: Disease complications
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      – TitleFull: Temporal Dynamics of Electroencephalography Microstates Reveal Altered Attention Processing in Individuals With Prelingual Deafness.
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              M: 09
              Text: Sep2025
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