Pattern analysis of functional imaging data of child hearing loss

Yongmin Chang; Sang Heun Lee; Jin Ho Cho

Pattern analysis of functional imaging data of child hearing loss

Yongmin Chang, Sang Heun Lee, Jin Ho Cho

Department of Medicine

Kyungpook National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

During early childhood, hearing ability is critical for cognitive development including language. In the current study, we aim to develop a pattern analysis method for imaging biomarker of cognitive function in children with hearing loss using resting-state functional magnetic resonance imaging (rs-fMRI). Our data analysis revealed that young children with profound hearing loss show different default mode network compared to that of age matched healthy children. Therefore, the pattern analysis based on rs-fMRI data may provide a good imaging biomarker for evaluating cognitive development in children with hearing loss.

Original language	English
Title of host publication	Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011
Pages	220-222
Number of pages	3
State	Published - 2011
Event	IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 - Rome, Italy Duration: 24 Jul 2011 → 26 Jul 2011

Publication series

Name	Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

Conference

Conference	IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011
Country/Territory	Italy
City	Rome
Period	24/07/11 → 26/07/11

Keywords

Cognition
Hearing loss
Pattern analysis
Resting-state functional magnetic resonance (rs-fMRI)

Cite this

Chang, Y., Lee, S. H., & Cho, J. H. (2011). Pattern analysis of functional imaging data of child hearing loss. In Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 (pp. 220-222). (Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011).

Chang, Yongmin ; Lee, Sang Heun ; Cho, Jin Ho. / Pattern analysis of functional imaging data of child hearing loss. Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011. 2011. pp. 220-222 (Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011).

@inproceedings{7c02258267b64b1ca150500c102378ed,

title = "Pattern analysis of functional imaging data of child hearing loss",

abstract = "During early childhood, hearing ability is critical for cognitive development including language. In the current study, we aim to develop a pattern analysis method for imaging biomarker of cognitive function in children with hearing loss using resting-state functional magnetic resonance imaging (rs-fMRI). Our data analysis revealed that young children with profound hearing loss show different default mode network compared to that of age matched healthy children. Therefore, the pattern analysis based on rs-fMRI data may provide a good imaging biomarker for evaluating cognitive development in children with hearing loss.",

keywords = "Cognition, Hearing loss, Pattern analysis, Resting-state functional magnetic resonance (rs-fMRI)",

author = "Yongmin Chang and Lee, {Sang Heun} and Cho, {Jin Ho}",

year = "2011",

language = "English",

isbn = "9789728939533",

series = "Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011",

pages = "220--222",

booktitle = "Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011",

note = "IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011 ; Conference date: 24-07-2011 Through 26-07-2011",

}

Chang, Y, Lee, SH & Cho, JH 2011, Pattern analysis of functional imaging data of child hearing loss. in Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011. Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011, pp. 220-222, IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011, Rome, Italy, 24/07/11.

Pattern analysis of functional imaging data of child hearing loss. / Chang, Yongmin; Lee, Sang Heun; Cho, Jin Ho.
Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011. 2011. p. 220-222 (Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chang, Yongmin

AU - Lee, Sang Heun

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N2 - During early childhood, hearing ability is critical for cognitive development including language. In the current study, we aim to develop a pattern analysis method for imaging biomarker of cognitive function in children with hearing loss using resting-state functional magnetic resonance imaging (rs-fMRI). Our data analysis revealed that young children with profound hearing loss show different default mode network compared to that of age matched healthy children. Therefore, the pattern analysis based on rs-fMRI data may provide a good imaging biomarker for evaluating cognitive development in children with hearing loss.

AB - During early childhood, hearing ability is critical for cognitive development including language. In the current study, we aim to develop a pattern analysis method for imaging biomarker of cognitive function in children with hearing loss using resting-state functional magnetic resonance imaging (rs-fMRI). Our data analysis revealed that young children with profound hearing loss show different default mode network compared to that of age matched healthy children. Therefore, the pattern analysis based on rs-fMRI data may provide a good imaging biomarker for evaluating cognitive development in children with hearing loss.

KW - Cognition

KW - Hearing loss

KW - Pattern analysis

KW - Resting-state functional magnetic resonance (rs-fMRI)

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M3 - Conference contribution

AN - SCOPUS:84865095547

SN - 9789728939533

T3 - Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

SP - 220

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BT - Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

T2 - IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011

Y2 - 24 July 2011 through 26 July 2011

ER -

Chang Y, Lee SH, Cho JH. Pattern analysis of functional imaging data of child hearing loss. In Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011. 2011. p. 220-222. (Proceedings of the IADIS European Conference on Data Mining 2011, Part of the IADIS Multi Conference on Computer Science and Information Systems 2011, MCCSIS 2011).

Pattern analysis of functional imaging data of child hearing loss

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