'Mind Reading': Hitting Cognition by Using ANNs to Analyze fMRI Data in a Paradigm Exempted from Motor Responses

José Paulo Marques dos Santos, Luiz Moutinho, Miguel Castelo-Branco

Abstract

The main goal of the present study is to launch the foundations of a pipeline for fMRI-based human behavior classification, addressing however some particularities of cognitive processes. While studying cognition, much of the experiments with fMRI use devices to record subjects’ responses, which recruits the participation of the motor cortex. Although the influence of this aspect may be reduced in subtractive univariate analyses methods, it may negatively interfere in multivariate methods. The fMRI data here used is exempted of motor responses. Subjects were asked to form impressions about persons, objects, and brands, but their thoughts were not recorded by devices. The feedforward backpropagation artificial neural network was used. With this procedure it was possible to correctly classify above randomness. The analysis of the hidden nodes reveals the extensive participation of the fusiform gyri and lateral occipital cortex in this cognitive process, corroborating the critical participation of these structures during classification in the natural brain.

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Paper Citation


in Harvard Style

Marques dos Santos J., Moutinho L. and Castelo-Branco M. (2014). 'Mind Reading': Hitting Cognition by Using ANNs to Analyze fMRI Data in a Paradigm Exempted from Motor Responses . In Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014) ISBN 978-989-758-041-3, pages 45-52. DOI: 10.5220/0005126400450052


in Bibtex Style

@conference{anniip14,
author={José Paulo Marques dos Santos and Luiz Moutinho and Miguel Castelo-Branco},
title={'Mind Reading': Hitting Cognition by Using ANNs to Analyze fMRI Data in a Paradigm Exempted from Motor Responses},
booktitle={Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014)},
year={2014},
pages={45-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005126400450052},
isbn={978-989-758-041-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014)
TI - 'Mind Reading': Hitting Cognition by Using ANNs to Analyze fMRI Data in a Paradigm Exempted from Motor Responses
SN - 978-989-758-041-3
AU - Marques dos Santos J.
AU - Moutinho L.
AU - Castelo-Branco M.
PY - 2014
SP - 45
EP - 52
DO - 10.5220/0005126400450052