Tracking the signal, cracking the code: speech and speech comprehension in non-invasive human electrophysiology

Malte Wöstmann*, Lorenz Fiedler, Jonas Obleser

*Corresponding author for this work
8 Citations (Scopus)

Abstract

Magneto- and electroencephalographic (M/EEG) signals recorded from the human scalp have allowed for substantial advances for neural models of speech comprehension over the past decades. These methods are currently advancing rapidly and continue to offer unparalleled insight in the near-to-real-time neural dynamics of speech processing. We provide a historically informed overview over dependent measures in the time and frequency domain and highlight recent advances resulting from these measures. We discuss the notorious challenges (and solutions) speech and language researchers are faced with when studying auditory brain responses in M/EEG. We argue that a key to understanding the neural basis of speech comprehension will lie in studying interactions between the neural tracking of speech and the functional neural network dynamics. This article is intended for both, non-experts who want to learn how to use M/EEG to study speech comprehension and scholars aiming for an overview of state-of-the-art M/EEG analysis methods.

Original languageEnglish
JournalLanguage, Cognition and Neuroscience
Volume32
Issue number7
Pages (from-to)855-869
Number of pages15
ISSN2327-3798
DOIs
Publication statusPublished - 09.08.2017

Research Areas and Centers

  • Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)

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