A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia

Kirihara, Kazuhiro; Tada, Mariko; Koshiyama, Daisuke; Fujioka, Masahiro; Usui, Kaori; Araki, Tsuyoshi; Kasai, Kazuhiko

doi:10.3389/fpsyt.2020.00660

Cited by 35 publications

(21 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this study, we aimed to obtain prediction-related signals that may be related to neuropsychiatric disorder ( 16 ). Therefore, we utilized a long ISI (500 ms) oddball paradigm that is typically used in clinical studies.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction-Related Frontal-Temporal Network for Omission Mismatch Activity in the Macaque Monkey

et al. 2022

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Importantly, mismatch activities using the omission paradigm were reduced in patients with schizophrenia ( 14 , 15 ). Therefore, PRSs may be related to the pathophysiology of schizophrenia ( 16 ).…”

Section: Introductionmentioning

confidence: 99%

Prediction-Related Frontal-Temporal Network for Omission Mismatch Activity in the Macaque Monkey

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…information processing which may reflect altered predictive coding in schizophrenia. [126][127][128] The amplitude of MMN (especially duration MMN) is reduced in chronic schizophrenia, first-episode schizophrenia, and even at the clinical highrisk state. 125,129 Mechanistically, this reduced MMN amplitude may reflect N-methyl-D-aspartate receptor (NMDAR) dysfunction in patients with schizophrenia since NMDAR antagonists reduce the MMN amplitude.…”

Section: Interpretation To Other Brain Measurements: Eeg and Meg Research In Schizophreniamentioning

confidence: 99%

Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools

et al. 2022

View full text Add to dashboard Cite

Schizophrenia is a common severe psychiatric disorder that affects approximately 1% of general population through the life course. Historically, in Kraepelin's time, schizophrenia was a disease unit conceptualized as dementia praecox; however, since then, the disease concept has changed. Recent MRI studies had shown that the neuropathology of the brain in this disorder was characterized by mild progression before and after the onset of the disease, and that the brain alterations were relatively smaller than assumed. Although genetic factors contribute to the brain alterations in schizophrenia, which are thought to be trait differences, other changes include factors that are common in psychiatric diseases. Furthermore, it has been shown that the brain differences specific to schizophrenia were relatively small compared to other changes, such as those caused by brain development, aging, and gender. In addition, compared to the disease and participant factors, machine and imaging protocol differences could affect MRI signals, which should be addressed in multi-site studies. Recent advances in MRI modalities, such as multi-shell diffusion-weighted imaging, magnetic resonance spectroscopy, and multimodal brain imaging analysis, may be candidates to sharpen the characterization of schizophrenia-specific factors and provide new insights. The Brain/MINDS Beyond Human Brain MRI (BMB-HBM) project has been launched considering the differences and noises irrespective of the disease pathologies and includes the future perspectives of MRI studies for various psychiatric and neurological disorders. The sites use restricted MRI machines and harmonized multi-modal protocols, standardized image preprocessing, and traveling subject harmonization. Data sharing to the public will be planned in FY 2024. In the future, we believe that combining a high-quality human MRI dataset with genetic data, randomized controlled trials, and MRI for non-human primates and animal models will enable us to understand schizophrenia, elucidate its neural bases and therapeutic targets, and provide tools for clinical application at bedside.

show abstract

“…MMN is a negative component of electrophysiological response elicited by infrequent deviant stimuli occurring within a series of frequent standard stimuli, and it is considered a promising biomarker among other components 59 , 60 . As in the previous studies 23 , 61 , 62 , electroencephalogram was recorded using a 64-channel Geodesic EEG System (Electrical Geodesics Inc., Eugene, OR).…”

Section: Methodsmentioning

confidence: 99%

Surface area in the insula was associated with 28-month functional outcome in first-episode psychosis

et al. 2021

Self Cite

View full text Add to dashboard Cite

Many studies have tested the relationship between demographic, clinical, and psychobiological measurements and clinical outcomes in ultra-high risk for psychosis (UHR) and first-episode psychosis (FEP). However, no study has investigated the relationship between multi-modal measurements and long-term outcomes for >2 years. Thirty-eight individuals with UHR and 29 patients with FEP were measured using one or more modalities (cognitive battery, electrophysiological response, structural magnetic resonance imaging, and functional near-infrared spectroscopy). We explored the characteristics associated with 13- and 28-month clinical outcomes. In UHR, the cortical surface area in the left orbital part of the inferior frontal gyrus was negatively associated with 13-month disorganized symptoms. In FEP, the cortical surface area in the left insula was positively associated with 28-month global social function. The left inferior frontal gyrus and insula are well-known structural brain characteristics in schizophrenia, and future studies on the pathological mechanism of structural alteration would provide a clearer understanding of the disease.

show abstract

A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia

Cited by 35 publications

References 54 publications

Prediction-Related Frontal-Temporal Network for Omission Mismatch Activity in the Macaque Monkey

Prediction-Related Frontal-Temporal Network for Omission Mismatch Activity in the Macaque Monkey

Recent Advances and Future Directions in Brain MR Imaging Studies in Schizophrenia: Toward Elucidating Brain Pathology and Developing Clinical Tools

Surface area in the insula was associated with 28-month functional outcome in first-episode psychosis

Contact Info

Product

Resources

About