Classifying Brain States for Cognitive Tasks: a Functional MRI Study in Children with Reading Impairments

C Froehlich; Felipe Meneguzzi; Alexandre Rosa Franco; Augusto Buchweitz

Classifying Brain States for Cognitive Tasks: a Functional MRI Study in Children with Reading Impairments

C Froehlich, Felipe Meneguzzi, Alexandre Rosa Franco, Augusto Buchweitz

Pontifícia Universidade Católica do Rio Grande do Sul

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Abstract

Dyslexia is a developmental reading disorder characterized by a persistent difficulty to learn how to read fluently, despite normal cognitive abilities. This study aims at investigating the neural underpinnings of this reading disorder in children and teenagers by applying existing machine learning techniques that identify cognitive states based solely on one’s brain activation. The technique is used to identify whether participants were performing a reading task (identifying whether a word exists or not) or simply resting. The results show above 90% accuracy for classifying
whether a participant was performing a reading task. The technique and results are discussed in turn.

Original language	English
Title of host publication	Proceedings of the XXIV Brazilian Congress on Biomedical Engineering
Subtitle of host publication	CBEB 2014
Number of pages	4
Publication status	Published - 2014
Externally published	Yes

Bibliographical note

Acknowledgements
The study was funded by CAPES/OBEDUC 0898/2013 project 23038.002530/2013-93 (ACERTA).

Cite this

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title = "Classifying Brain States for Cognitive Tasks: a Functional MRI Study in Children with Reading Impairments",

abstract = "Dyslexia is a developmental reading disorder characterized by a persistent difficulty to learn how to read fluently, despite normal cognitive abilities. This study aims at investigating the neural underpinnings of this reading disorder in children and teenagers by applying existing machine learning techniques that identify cognitive states based solely on one{\textquoteright}s brain activation. The technique is used to identify whether participants were performing a reading task (identifying whether a word exists or not) or simply resting. The results show above 90% accuracy for classifyingwhether a participant was performing a reading task. The technique and results are discussed in turn.",

author = "C Froehlich and Felipe Meneguzzi and Franco, {Alexandre Rosa} and Augusto Buchweitz",

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T1 - Classifying Brain States for Cognitive Tasks: a Functional MRI Study in Children with Reading Impairments

AU - Froehlich, C

AU - Meneguzzi, Felipe

AU - Franco, Alexandre Rosa

AU - Buchweitz, Augusto

N1 - Acknowledgements The study was funded by CAPES/OBEDUC 0898/2013 project 23038.002530/2013-93 (ACERTA).

PY - 2014

Y1 - 2014

N2 - Dyslexia is a developmental reading disorder characterized by a persistent difficulty to learn how to read fluently, despite normal cognitive abilities. This study aims at investigating the neural underpinnings of this reading disorder in children and teenagers by applying existing machine learning techniques that identify cognitive states based solely on one’s brain activation. The technique is used to identify whether participants were performing a reading task (identifying whether a word exists or not) or simply resting. The results show above 90% accuracy for classifyingwhether a participant was performing a reading task. The technique and results are discussed in turn.

AB - Dyslexia is a developmental reading disorder characterized by a persistent difficulty to learn how to read fluently, despite normal cognitive abilities. This study aims at investigating the neural underpinnings of this reading disorder in children and teenagers by applying existing machine learning techniques that identify cognitive states based solely on one’s brain activation. The technique is used to identify whether participants were performing a reading task (identifying whether a word exists or not) or simply resting. The results show above 90% accuracy for classifyingwhether a participant was performing a reading task. The technique and results are discussed in turn.

UR - http://www.canal6.com.br/cbeb/2014/artigos/cbeb2014_submission_720.pdf

M3 - Published conference contribution

BT - Proceedings of the XXIV Brazilian Congress on Biomedical Engineering

ER -

Classifying Brain States for Cognitive Tasks: a Functional MRI Study in Children with Reading Impairments

Abstract

Bibliographical note

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