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Wehrman JJ, Chung CC, Sanders R. Anaesthetics and time perception: A review. Q J Exp Psychol (Hove) 2024; 77:1898-1910. [PMID: 36453756 DOI: 10.1177/17470218221144614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Consciousness requires subjective experience in the "now." Establishing "now," however, necessitates temporal processing. In the current article, we review one method of altering consciousness, anaesthetic drug administration, and its effects on perceived duration. We searched PubMed, PsycInfo, and ScienceDirect databases, and article reference sections, for combinations of anaesthetic drugs and time perception tasks, finding a total of 36 articles which met our inclusion criteria. We categorised these articles with regard to whether they altered the felt passage of time, short or long interval timing, or were motor timing tasks. We found that various drugs alter the perceived passage of time; ketamine makes time subjectively slow down while GABAergic drugs make time subjectively speed up. At a short interval there is little established evidence of a shift in time perception, though temporal estimates appear more variable. Similarly, when asked to use time to optimise responses (i.e., in motor timing tasks), various anaesthetic agents make timing more variable. Longer durations are estimated as lasting longer than their objective duration, though there is some variation across articles in this regard. We conclude by proposing further experiments to examine time perception under altered states of consciousness and ask whether it is possible to perceive the passage of time of events which do not necessarily reach the level of conscious perception. The variety of methods used raises the need for more systematic investigations of time perception under anaesthesia. We encourage future investigations into the overlap of consciousness and time perception to advance both fields.
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Affiliation(s)
| | - Clara C Chung
- Royal Prince Alfred Hospital, Sydney, NSW, Australia
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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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Obara K, Ebina T, Terada SI, Uka T, Komatsu M, Takaji M, Watakabe A, Kobayashi K, Masamizu Y, Mizukami H, Yamamori T, Kasai K, Matsuzaki M. Change detection in the primate auditory cortex through feedback of prediction error signals. Nat Commun 2023; 14:6981. [PMID: 37957168 PMCID: PMC10643402 DOI: 10.1038/s41467-023-42553-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 10/13/2023] [Indexed: 11/15/2023] Open
Abstract
Although cortical feedback signals are essential for modulating feedforward processing, no feedback error signal across hierarchical cortical areas has been reported. Here, we observed such a signal in the auditory cortex of awake common marmoset during an oddball paradigm to induce auditory duration mismatch negativity. Prediction errors to a deviant tone presentation were generated as offset calcium responses of layer 2/3 neurons in the rostral parabelt (RPB) of higher-order auditory cortex, while responses to non-deviant tones were strongly suppressed. Within several hundred milliseconds, the error signals propagated broadly into layer 1 of the primary auditory cortex (A1) and accumulated locally on top of incoming auditory signals. Blockade of RPB activity prevented deviance detection in A1. Optogenetic activation of RPB following tone presentation nonlinearly enhanced A1 tone response. Thus, the feedback error signal is critical for automatic detection of unpredicted stimuli in physiological auditory processing and may serve as backpropagation-like learning.
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Affiliation(s)
- Keitaro Obara
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Teppei Ebina
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Shin-Ichiro Terada
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Yamanashi, 409-3898, Japan
| | - Misako Komatsu
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Masafumi Takaji
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Akiya Watakabe
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Kenta Kobayashi
- Section of Viral Vector Development, National Institute for Physiological Sciences, Aichi, 444-8585, Japan
| | - Yoshito Masamizu
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
| | - Hiroaki Mizukami
- Division of Genetic Therapeutics, Center for Molecular Medicine, Jichi Medical University, Tochigi, 329-0498, Japan
| | - Tetsuo Yamamori
- Laboratory for Molecular Analysis of Higher Brain Function, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Laboratory for Haptic Perception and Cognitive Physiology, RIKEN Center for Brain Science, Saitama, 351-0198, Japan
- Central Institute of Experimental Animals, Kanagawa, 210-0821, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, Tokyo, 113-0033, Japan
| | - Masanori Matsuzaki
- Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, 113-0033, Japan.
- Brain Functional Dynamics Collaboration Laboratory, RIKEN Center for Brain Science, Saitama, 351-0198, Japan.
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study, Tokyo, 113-0033, Japan.
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Todd J, Salisbury D, Michie PT. Why mismatch negativity continues to hold potential in probing altered brain function in schizophrenia. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2023; 2:e144. [PMID: 38867817 PMCID: PMC11114358 DOI: 10.1002/pcn5.144] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 08/21/2023] [Accepted: 08/30/2023] [Indexed: 06/14/2024]
Abstract
The brain potential known as mismatch negativity (MMN) is one of the most studied indices of altered brain function in schizophrenia. This review looks at what has been learned about MMN in schizophrenia over the last three decades and why the level of interest and activity in this field of research remains strong. A diligent consideration of available evidence suggests that MMN can serve as a biomarker in schizophrenia, but perhaps not the kind of biomarker that early research supposed. This review concludes that MMN measurement is likely to be most useful as a monitoring and response biomarker enabling tracking of an underlying pathology and efficacy of interventions, respectively. The role of, and challenges presented by, pre-clinical models is discussed as well as the merits of different methodologies that can be brought to bear in pursuing a deeper understanding of pathophysiology that might explain smaller MMN in schizophrenia.
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Affiliation(s)
- Juanita Todd
- School of Psychological SciencesUniversity of NewcastleNewcastleNew South WalesAustralia
| | - Dean Salisbury
- Department of PsychiatryUniversity of Pittsburgh School of MedicinePittsburghPennsylvaniaUSA
| | - Patricia T. Michie
- School of Psychological SciencesUniversity of NewcastleNewcastleNew South WalesAustralia
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Suda Y, Tada M, Matsuo T, Kawasaki K, Saigusa T, Ishida M, Mitsui T, Kumano H, Kirihara K, Suzuki T, Matsumoto K, Hasegawa I, Kasai K, Uka T. Prediction-Related Frontal-Temporal Network for Omission Mismatch Activity in the Macaque Monkey. Front Psychiatry 2022; 13:557954. [PMID: 35558420 PMCID: PMC9086590 DOI: 10.3389/fpsyt.2022.557954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 03/24/2022] [Indexed: 11/24/2022] Open
Abstract
Sensory prediction is considered an important element of mismatch negativity (MMN) whose reduction is well known in patients with schizophrenia. Omission MMN is a variant of the MMN which is elicited by the absence of a tone previously sequentially presented. Omission MMN can eliminate the effects of sound differences in typical oddball paradigms and affords the opportunity to identify prediction-related signals in the brain. Auditory predictions are thought to reflect bottom-up and top-down processing within hierarchically organized auditory areas. However, the communications between the various subregions of the auditory cortex and the prefrontal cortex that generate and communicate sensory prediction-related signals remain poorly understood. To explore how the frontal and temporal cortices communicate for the generation and propagation of such signals, we investigated the response in the omission paradigm using electrocorticogram (ECoG) electrodes implanted in the temporal, lateral prefrontal, and orbitofrontal cortices of macaque monkeys. We recorded ECoG data from three monkeys during the omission paradigm and examined the functional connectivity between the temporal and frontal cortices by calculating phase-locking values (PLVs). This revealed that theta- (4-8 Hz), alpha- (8-12 Hz), and low-beta- (12-25 Hz) band synchronization increased at tone onset between the higher auditory cortex and the frontal pole where an early omission response was observed in the event-related potential (ERP). These synchronizations were absent when the tone was omitted. Conversely, low-beta-band (12-25 Hz) oscillation then became stronger for tone omission than for tone presentation approximately 200 ms after tone onset. The results suggest that auditory input is propagated to the frontal pole via the higher auditory cortex and that a reciprocal network may be involved in the generation of auditory prediction and prediction error. As impairments of prediction may underlie MMN reduction in patients with schizophrenia, an aberrant hierarchical temporal-frontal network might be related to this pathological condition.
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Affiliation(s)
- Yuki Suda
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Japan.,Brain Science Institute, Tamagawa University, Machida, Japan
| | - Mariko Tada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Bunkyo, Japan
| | - Takeshi Matsuo
- Department of Neurosurgery, Tokyo Metropolitan Neurological Hospital, Fuchu, Japan
| | - Keisuke Kawasaki
- Department of Physiology, Niigata University School of Medicine, Chuo, Japan
| | - Takeshi Saigusa
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Japan
| | - Maho Ishida
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Japan
| | - Tetsuo Mitsui
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Japan.,Department of Social Environment, Graduate School of Environment and Disaster Research, Tokoha University, Suruga, Japan
| | - Hironori Kumano
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Japan
| | - Kenji Kirihara
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo, Japan
| | - Takafumi Suzuki
- Center for Information and Neural Networks, National Institute of Information and Communications Technology, Suita, Japan
| | - Kenji Matsumoto
- Brain Science Institute, Tamagawa University, Machida, Japan
| | - Isao Hasegawa
- Department of Physiology, Niigata University School of Medicine, Chuo, Japan
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Bunkyo, Japan.,International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Bunkyo, Japan
| | - Takanori Uka
- Department of Integrative Physiology, Graduate School of Medicine, University of Yamanashi, Chuo, Japan.,Brain Science Institute, Tamagawa University, Machida, Japan
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