AUTHOR=Martin Stéphanie , Brunner Peter , Holdgraf Chris , Heinze Hans-Jochen , Crone Nathan E. , Rieger Jochem , Schalk Gerwin , Knight Robert T. , Pasley Brian N. TITLE=Decoding spectrotemporal features of overt and covert speech from the human cortex JOURNAL=Frontiers in Neuroengineering VOLUME=7 YEAR=2014 URL=https://www.frontiersin.org/journals/neuroengineering/articles/10.3389/fneng.2014.00014 DOI=10.3389/fneng.2014.00014 ISSN=1662-6443 ABSTRACT=
Auditory perception and auditory imagery have been shown to activate overlapping brain regions. We hypothesized that these phenomena also share a common underlying neural representation. To assess this, we used electrocorticography intracranial recordings from epileptic patients performing an out loud or a silent reading task. In these tasks, short stories scrolled across a video screen in two conditions: subjects read the same stories both aloud (overt) and silently (covert). In a control condition the subject remained in a resting state. We first built a high gamma (70–150 Hz) neural decoding model to reconstruct spectrotemporal auditory features of self-generated overt speech. We then evaluated whether this same model could reconstruct auditory speech features in the covert speech condition. Two speech models were tested: a spectrogram and a modulation-based feature space. For the overt condition, reconstruction accuracy was evaluated as the correlation between original and predicted speech features, and was significant in each subject (