Transcranial Magnetic Stimulation Facilitates Neural Speech Decoding

Author:

Comstock Lindy12ORCID,Carvalho Vinícius Rezende3ORCID,Lainscsek Claudia45ORCID,Fallah Aria6ORCID,Sejnowski Terrence J.457ORCID

Affiliation:

1. Department of Psychiatry & Biobehavioral Sciences, UCLA, Los Angeles, CA 90095, USA

2. Semel Institute for Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90095, USA

3. Postgraduate Program in Electrical Engineering, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil

4. Computational Neurobiology Laboratory, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA

5. Institute for Neural Computation, UCSD, San Diego, CA 92093, USA

6. Department of Neurosurgery, UCLA, Los Angeles, CA 90095, USA

7. Division of Biological Sciences, UCSD, San Diego, CA 92093, USA

Abstract

Transcranial magnetic stimulation (TMS) has been widely used to study the mechanisms that underlie motor output. Yet, the extent to which TMS acts upon the cortical neurons implicated in volitional motor commands and the focal limitations of TMS remain subject to debate. Previous research links TMS to improved subject performance in behavioral tasks, including a bias in phoneme discrimination. Our study replicates this result, which implies a causal relationship between electro-magnetic stimulation and psychomotor activity, and tests whether TMS-facilitated psychomotor activity recorded via electroencephalography (EEG) may thus serve as a superior input for neural decoding. First, we illustrate that site-specific TMS elicits a double dissociation in discrimination ability for two phoneme categories. Next, we perform a classification analysis on the EEG signals recorded during TMS and find a dissociation between the stimulation site and decoding accuracy that parallels the behavioral results. We observe weak to moderate evidence for the alternative hypothesis in a Bayesian analysis of group means, with more robust results upon stimulation to a brain region governing multiple phoneme features. Overall, task accuracy was a significant predictor of decoding accuracy for phoneme categories (F(1,135) = 11.51, p < 0.0009) and individual phonemes (F(1,119) = 13.56, p < 0.0003), providing new evidence for a causal link between TMS, neural function, and behavior.

Funder

US-Russia Foundation

Basic Research Program at HSE University

Publisher

MDPI AG

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