Mismatch negativity in bipolar disorder: A neurophysiological biomarker of intermediate effect?

Hermens, Daniel F.; Chitty, Kate M.; Kaur, Manreena

doi:10.1016/j.schres.2017.04.026

Cited by 32 publications

(21 citation statements)

References 79 publications

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“…As reported in our previous study (Dima et al, 2012), the MMN amplitude was strongly reduced in patients with schizophrenia compared to typically developing subjects, while for bipolar disorder the MMN was intermediately reduced, in line with the findings of Hermens et al (Hermens et al, 2017). A recent meta-analysis (Erickson et al, 2015) found the effect size for MMN amplitude changes in schizophrenia were greater with disease progression, while that for bipolar disorder were smaller and similar to that seen in first episode schizophrenia.…”

Section: Discussionsupporting

confidence: 92%

“…Likewise, some studies have found common neurobiological disturbances in deviance detection/orienting processes (Kaur et al, 2011), others have reported deficits in pre-attentive auditory processing, 4 and MMN deficits that are less severe in bipolar disorder (Jahshan et al, 2012a). Hermens et al (Hermens et al, 2017) recently concluded that MMN was not a diagnosis specific biomarker.…”

Section: Introductionmentioning

confidence: 99%

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Dissociable auditory mismatch response and connectivity patterns in adolescents with schizophrenia and adolescents with bipolar disorder with psychosis: A magnetoencephalography study

Braeutigam

Dima

Frangou

et al. 2018

Schizophrenia Research

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Dissociable auditory mismatch response and connectivity patterns in adolescents with schizophrenia and adolescents with bipolar disorder with psychosis: A magnetoencephalography study

Braeutigam

Dima

Frangou

et al. 2018

Schizophrenia Research

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“…Electroencephalography probes neural dysfunction more directly. Abnormalities in P300 amplitude and latency as well as mismatch negativity have been established in schizophrenia, clinical high risk states, schizotypal personality disorder, and bipolar disorder 182,192,231‐234 . This pattern suggests that P300 and mismatch negativity track thought disorder, but direct evidence of specificity is limited, and they may prove to be markers of the general psychosis superspectrum.…”

Section: Validity Evidencementioning

confidence: 99%

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum

et al. 2020

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The Hierarchical Taxonomy of Psychopathology (HiTOP) is a scientific effort to address shortcomings of traditional mental disorder diagnoses, which suffer from arbitrary boundaries between psychopathology and normality, frequent disorder co‐occurrence, heterogeneity within disorders, and diagnostic instability. This paper synthesizes evidence on the validity and utility of the thought disorder and detachment spectra of HiTOP. These spectra are composed of symptoms and maladaptive traits currently subsumed within schizophrenia, other psychotic disorders, and schizotypal, paranoid and schizoid personality disorders. Thought disorder ranges from normal reality testing, to maladaptive trait psychoticism, to hallucinations and delusions. Detachment ranges from introversion, to maladaptive detachment, to blunted affect and avolition. Extensive evidence supports the validity of thought disorder and detachment spectra, as each spectrum reflects common genetics, environmental risk factors, childhood antecedents, cognitive abnormalities, neural alterations, biomarkers, and treatment response. Some of these characteristics are specific to one spectrum and others are shared, suggesting the existence of an overarching psychosis superspectrum. Further research is needed to extend this model, such as clarifying whether mania and dissociation belong to thought disorder, and explicating processes that drive development of the spectra and their subdimensions. Compared to traditional diagnoses, the thought disorder and detachment spectra demonstrated substantially improved utility: greater reliability, larger explanatory and predictive power, and higher acceptability to clinicians. Validated measures are available to implement the system in practice. The more informative, reliable and valid characterization of psychosis‐related psychopathology offered by HiTOP can make diagnosis more useful for research and clinical care.

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“…Another studied showed a contradictory finding in which their patients with bipolar disorder and major depressive disorder had no significant dMMN amplitude reduction ( 142 ). A review of the MMN study on the bipolar spectrum has proposed that bipolar disease could lead to an intermediate level reduction on MMN in-between those with schizophrenia and the healthy controls ( 143 ) although a systematic model is yet to be developed due to the unclear relationship between MMN and the subtypes (as well as medication status) of bipolar disorder ( 144 , 145 ). MMN for the major depressive disorder had also been investigated, yet again, the results were inconsistent across the literatures ( 146 – 148 ).…”

Section: Mismatch Negativity In Schizophreniamentioning

confidence: 99%

Auditory Mismatch Negativity Under Predictive Coding Framework and Its Role in Psychotic Disorders

et al. 2020

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Traditional neuroscience sees sensory perception as a simple feedforward process. This view is challenged by the predictive coding model in recent years due to the robust evidence researchers had found on how our prediction could influence perception. In the first half of this article, we reviewed the concept of predictive brain and some empirical evidence of sensory prediction in visual and auditory processing. The predictive function along the auditory pathway was mainly studied by mismatch negativity (MMN)—a brain response to an unexpected disruption of regularity. We summarized a range of MMN paradigms and discussed how they could contribute to the theoretical development of the predictive coding neural network by the mechanism of adaptation and deviance detection. Such methodological and conceptual evolution sharpen MMN as a tool to better understand the structural and functional brain abnormality for neuropsychiatric disorder such as schizophrenia.

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Mismatch negativity in bipolar disorder: A neurophysiological biomarker of intermediate effect?

Cited by 32 publications

References 79 publications

Dissociable auditory mismatch response and connectivity patterns in adolescents with schizophrenia and adolescents with bipolar disorder with psychosis: A magnetoencephalography study

Dissociable auditory mismatch response and connectivity patterns in adolescents with schizophrenia and adolescents with bipolar disorder with psychosis: A magnetoencephalography study

Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): I. Psychosis superspectrum

Auditory Mismatch Negativity Under Predictive Coding Framework and Its Role in Psychotic Disorders

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