Neural response properties predict perceived contents and locations elicited by intracranial electrical stimulation of human auditory cortex

Author:

Wang Qian123ORCID,Luo Lu4,Xu Na5,Wang Jing67,Yang Ruolin128,Chen Guanpeng128,Ren Jie91011,Luan Guoming91012,Fang Fang128ORCID

Affiliation:

1. School of Psychological and Cognitive Sciences and Beijing Key Laboratory of Behavior and Mental Health, Peking University , Beijing 100871 , China

2. IDG/McGovern Institute for Brain Research, Peking University , Beijing 100871 , China

3. National Key Laboratory of General Artificial Intelligence , Peking University, Beijing 100871 , China

4. School of Psychology, Beijing Sport University , Beijing 100084 , China

5. Division of Brain Sciences , Changping Laboratory, Beijing 102206 , China

6. Department of Neurology , Sanbo Brain Hospital, , Beijing 100093 , China

7. Capital Medical University , Sanbo Brain Hospital, , Beijing 100093 , China

8. Peking-Tsinghua Center for Life Sciences, Peking University , Beijing 100871 , China

9. Department of Functional Neurosurgery , Beijing Key Laboratory of Epilepsy, Sanbo Brain Hospital, , Beijing 100093 , China

10. Capital Medical University , Beijing Key Laboratory of Epilepsy, Sanbo Brain Hospital, , Beijing 100093 , China

11. Epilepsy Center, Kunming Sanbo Brain Hospital , Kunming 650100 China

12. Beijing Institute for Brain Disorders , Beijing 100069 , China

Abstract

Abstract Intracranial electrical stimulation (iES) of auditory cortex can elicit sound experiences with a variety of perceived contents (hallucination or illusion) and locations (contralateral or bilateral side), independent of actual acoustic inputs. However, the neural mechanisms underlying this elicitation heterogeneity remain undiscovered. Here, we collected subjective reports following iES at 3062 intracranial sites in 28 patients (both sexes) and identified 113 auditory cortical sites with iES-elicited sound experiences. We then decomposed the sound-induced intracranial electroencephalogram (iEEG) signals recorded from all 113 sites into time-frequency features. We found that the iES-elicited perceived contents can be predicted by the early high-γ features extracted from sound-induced iEEG. In contrast, the perceived locations elicited by stimulating hallucination sites and illusion sites are determined by the late high-γ and long-lasting α features, respectively. Our study unveils the crucial neural signatures of iES-elicited sound experiences in human and presents a new strategy to hearing restoration for individuals suffering from deafness.

Funder

National Science and Technology Innovation 2030 Major Program

National Natural Science Foundation of China

High-performance Computing Platform of Peking University

Publisher

Oxford University Press (OUP)

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