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Adaptation Patterns and Their Associations with Mismatch Negativity: A Roving Electroencephalogram Paradigm with Expectations Maintained
  • Brian W. L. Wong,
  • Shuting Huo,
  • Urs Maurer
Brian W. L. Wong
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Shuting Huo
The Hong Kong Polytechnic University
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Urs Maurer
The Chinese University of Hong Kong

Corresponding Author:[email protected]

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Adaptation is defined as reduced neural activation following repeated stimulus presentation. While numerous previous electroencephalogram studies used either one repetition or multiple repetitions to elicit adaptation in event-related potentials, the adaptation patterns under controlled expectations manifested in the two main auditory components, N1 and P2, are still largely unknown. In addition, multiple repetitions were used in mismatch negativity experiments to measure deviance detection, but how adaptation in different time points contributes to the mismatch negativity remains unclear. Therefore, in the present study, 37 healthy adults participated in an electroencephalogram experiment with a pure tone roving paradigm and a random stimulus arrangement to maintain expectations. The amplitudes were traced along with the first ten tones in the auditory event-related potentials components, N1 and P2, to examine the adaptation patterns. Results showed an L-shaped adaptation in the N1 with a large decrease after the first repetition (N1 initial adaptation), and a continuous, linear amplitude increase in the P2 even after the first repetition (P2 subsequent adaptation), possibly indicating memory trace formation. Regression results showed that the peak amplitudes of the N1 initial adaptation and the P2 subsequent adaptation significantly explained the variance in the mismatch negativity amplitude. The results indicate distinct adaptation patterns for multiple repetitions in different components and suggest that the mismatch negativity combines two processes as indicated by the initial adaptation in the N1 and a continuous memory trace effect in the P2. Separating the two processes may be relevant for models of cognitive processing and clinical disorders.
15 Mar 20241st Revision Received
19 Mar 2024Assigned to Editor
19 Mar 2024Submission Checks Completed
19 Mar 2024Reviewer(s) Assigned