@inbook{fb14d1929b0843dca2a46aeb7dd45ec7,
title = "3D spatial analysis of fMRI data on a word perception task",
abstract = "We discuss a 3D spatial analysis of fMRI data taken during a combined word perception and motor task. The event - based experiment was part of a study to investigate the network of neurons involved in the perception of speech and the decoding of auditory speech stimuli. We show that a classical general linear model analysis using SPM does not yield reasonable results. With blind source separation (BSS) techniques using the FastICA algorithm it is possible to identify different independent components (IC) in the auditory cortex corresponding to four different stimuli. Most interesting, we could detect an IC representing a network of simultaneously active areas in the inferior frontal gyrus responsible for word perception.",
author = "Keck, {Ingo R.} and Theis, {Fabian J.} and Peter Gruber and Lang, {Elmar W.} and Karsten Specht and Puntonet, {Carlos G.}",
year = "2004",
doi = "10.1007/978-3-540-30110-3_123",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "977--984",
editor = "Puntonet, {Carlos G.} and Alberto Prieto",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}