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Takasago M, Kunii N, Fujitani S, Ishishita Y, Tada M, Kirihara K, Komatsu M, Uka T, Shimada S, Nagata K, Kasai K, Saito N. Auditory prediction errors in sound frequency and duration generated different cortical activation patterns in the human brain: an ECoG study. Cereb Cortex 2024; 34:bhae072. [PMID: 38466116 DOI: 10.1093/cercor/bhae072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/04/2024] [Accepted: 02/06/2024] [Indexed: 03/12/2024] Open
Abstract
Sound frequency and duration are essential auditory components. The brain perceives deviations from the preceding sound context as prediction errors, allowing efficient reactions to the environment. Additionally, prediction error response to duration change is reduced in the initial stages of psychotic disorders. To compare the spatiotemporal profiles of responses to prediction errors, we conducted a human electrocorticography study with special attention to high gamma power in 13 participants who completed both frequency and duration oddball tasks. Remarkable activation in the bilateral superior temporal gyri in both the frequency and duration oddball tasks were observed, suggesting their association with prediction errors. However, the response to deviant stimuli in duration oddball task exhibited a second peak, which resulted in a bimodal response. Furthermore, deviant stimuli in frequency oddball task elicited a significant response in the inferior frontal gyrus that was not observed in duration oddball task. These spatiotemporal differences within the Parasylvian cortical network could account for our efficient reactions to changes in sound properties. The findings of this study may contribute to unveiling auditory processing and elucidating the pathophysiology of psychiatric disorders.
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Affiliation(s)
- Megumi Takasago
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
| | - Naoto Kunii
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
- Department of Neurosurgery, Jichi Medical University, Shimotsuke 329-0498, Japan
| | - Shigeta Fujitani
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
| | - Yohei Ishishita
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
- Department of Neurosurgery, Jichi Medical University, Shimotsuke 329-0498, Japan
| | - Mariko Tada
- Department of Neuropsychiatry, The University of Tokyo, Tokyo 113-0033, Japan
- Office for Mental Health Support, Center for Research on Counseling and Support Services, The University of Tokyo, Tokyo 113-0033, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, The University of Tokyo, Tokyo 113-0033, Japan
- Disability Services Office, The University of Tokyo, Tokyo 113-0033, Japan
| | - Misako Komatsu
- Institution of Innovative Research, Tokyo Institute of Technology, Tokyo 226-8503, Japan
- Laboratory for Molecular Analysis of Higher Brain Function, Center for Brain Science, RIKEN, Saitama 351-0198, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Yamanashi 409-3898, Japan
| | - Seijiro Shimada
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
| | - Keisuke Nagata
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, The University of Tokyo, Tokyo 113-0033, Japan
- The International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), Tokyo 113-0033, Japan
| | - Nobuhito Saito
- Department of Neurosurgery, The University of Tokyo, Tokyo 113-0033, Japan
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O'Reilly JA. Recurrent Neural Network Model of Human Event-related Potentials in Response to Intensity Oddball Stimulation. Neuroscience 2022; 504:63-74. [DOI: 10.1016/j.neuroscience.2022.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/27/2022] [Accepted: 10/03/2022] [Indexed: 10/31/2022]
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Xiao XZ, Wang Y, Wong GCS, Zhao K, Tse CY. Frontotemporal network in automatic / pre-attentive detection of abstract change: An event-related optical signal (EROS) study. Neuropsychologia 2022; 164:108093. [PMID: 34822860 DOI: 10.1016/j.neuropsychologia.2021.108093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 08/31/2021] [Accepted: 11/21/2021] [Indexed: 11/28/2022]
Abstract
The human brain constantly monitors the environment for unexpected changes. Under the prediction violation account, the Inferior Frontal Cortex (IFC) is involved in prediction-related processes for deviance detection processes in the Superior Temporal Cortex (STC). Consistent with this account, previous studies revealed an IFC-to-STC-followed-by-IFC mismatch response pattern to physical changes using event-related optical signals (EROS). However, detecting physical changes can be achieved by direct comparison of physical features between stimuli without making predictions, thus direct evidence supporting the prediction nature of the IFC-STC network in pre-attentive change detection was lacking. To address this issue, this study examined the EROS mismatch responses of the IFC-STC network when detecting the violation of an abstract rule. The rule "the higher the frequency of a tone, the stronger the intensity" established by standards was violated by deviants of 12 deviance levels. When deviants were preceded by a short train of standards, early IFC, STC, and late IFC EROS mismatch responses linearly increased with the deviance levels. When deviants were preceded by a longer train of standards, the STC but not the early or late IFC EROS mismatch responses were elicited by all the deviants without modulation by deviance levels. These results demonstrate a functional role of the IFC in the abstract change detection when insufficient rule-conforming information could be extracted from the preceding standards and are consistent with the predictive violation account of pre-attentive change detection.
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Affiliation(s)
- Xue-Zhen Xiao
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China
| | - Yang Wang
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China
| | | | - Kunyang Zhao
- Department of Psychology, The Chinese University of Hong Kong, Hong Kong, China
| | - Chun-Yu Tse
- Department of Social and Behavioural Sciences, City University of Hong Kong, Hong Kong, China.
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