Abstract
In this paper, we present a database developed for studying inner speech brain related areas using functional Magnetic Resonance Imaging (fMRI) in the context of the European Portuguese. First, we addressed the type of stimuli used in inner speech studies. In this sense, considering a preliminary study using a picture naming task, we defined a corpus. The corpus was designed based on cardinal vowels, syllable, disyllabic words and sentences with structure S(ubject)V(erb)O(bject) which were balanced in syllable number (six to ten). All the words used are common words from the Portuguese lexicon and possible ambiguities were excluded. Currently, the dataset includes data from twenty healthy participants native Portuguese speakers. Preliminary, exploratory analysis on the data allowed us to identify the most relevant areas part of the inner speech network, that include inferior frontal gyrus (including Broca’s area), supplementary motor area and precentral gyrus. Ultimately, the better understanding of the inner speech mechanisms will pave way to the development of novel intervention strategies in linguistic disorders.
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Acknowledgements
Research partially supported by IEETA Research Unit, funded by National Funds through the FCT - Foundation for Science and Technology, in the context of the project UID/CEC/00127/2013.
Research also partially supported by CNC.IBILI Research Unit, funded by National Funds through the FCT - Foundation for Science and Technology, in the context of the project UID/NEU/04539/2013, COMPETE POCI-01-0145-FEDER-007440 and by the Grant BIGDATIMAGE, CENTRO-01-0145-FEDER-000016 financed by Portugal 2020 Centro 2020 FEDER COMPETE.
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Ferreira, C. et al. (2018). Inner Speech in Portuguese: Acquisition Methods, Database and First Results. In: Villavicencio, A., et al. Computational Processing of the Portuguese Language. PROPOR 2018. Lecture Notes in Computer Science(), vol 11122. Springer, Cham. https://doi.org/10.1007/978-3-319-99722-3_44
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DOI: https://doi.org/10.1007/978-3-319-99722-3_44
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