Elementary sensory deficits in schizophrenia indexed by impaired visual mismatch negativity

Farkas, Kinga; Stefanics, Gábor; Marosi, Csilla; Csukly, Gábor

doi:10.1016/j.schres.2015.05.011

Cited by 37 publications

(42 citation statements)

References 88 publications

(108 reference statements)

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“…Other EEG and MEG evidence in the visual modality offers convergent support for increased E/I ratio. Deviance detection during low-level visual feature (orientation) perception is reduced in SCZ(59), suggesting inhibitory failure over repeated stimuli. Furthermore, increased sustained gamma power to visual gratings characterizes schizoaffective disorder(60), wherein mood disturbance coincides with psychosis.…”

Section: Electrophysiology and Magnetoencephalographymentioning

confidence: 99%

Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders

Foss‐Feig

Adkinson

et al. 2017

Biological Psychiatry

247

183

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Recent theoretical accounts have proposed excitation (E) and inhibition (I) imbalance as a possible mechanistic, network-level hypothesis underlying neural and behavioral dysfunction across neurodevelopmental disorders, particularly autism spectrum disorder (ASD) and schizophrenia (SCZ). These two disorders share some overlap in their clinical presentation as well as convergence in their underlying genes and neurobiology. However, there are also clear points of dissociation in terms of phenotypes and putatively affected neural circuitry. Here we highlight emerging work from the clinical neuroscience literature examining neural correlates of E/I imbalance across children and adults with ASD and adults with both chronic and early-course SCZ. We discuss findings from diverse neuroimaging studies across distinct modalities, conducted with EEG, MEG, 1H-MRS, and fMRI, including effects observed both during task and at rest. Throughout this review we discuss points of convergence and divergence in the ASD and SCZ literature, with a focus on disruptions in neural E/I balance. We also consider these findings in relation to predictions generated by theoretical neuroscience, particularly computational models predicting E/I imbalance across disorders. Finally, we discuss how human non-invasive neuroimaging can benefit from pharmacological challenge studies to reveal mechanisms in ASD and SCZ. Collectively, we attempt to shed light on shared and divergent neuroimaging effects across disorders with the goal of informing future research examining the mechanisms underlying the E/I imbalance hypothesis across neurodevelopmental disorders. We posit that such translational efforts are vital to facilitate development of neurobiologically informed treatment strategies across neuropsychiatric conditions.

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Section: Electrophysiology and Magnetoencephalographymentioning

confidence: 99%

Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders

Foss‐Feig

Adkinson

et al. 2017

Biological Psychiatry

247

183

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“…More recent research has focused on the corresponding paradigm in the visual domain using the visual MMN Farkas, Stefanics, Marosi, & Csukly, 2015;Urban, Kremlacek, Masopust, & Libiger, 2008). According to an increasingly popular interpretation, the auditory and visual MMN represent a prediction error response generated by cortical mechanisms forming probabilistic representations of sensory signals (Friston, 2010;Stefanics et al, 2014).…”

Section: Schizophreniamentioning

confidence: 99%

“…In a recent study Farkas et al (2015) used rare changes in the orientation of Gabor patches to elicit vMMN in a group of patients with schizophrenia, and in age-and educationmatched controls. Controls had significant vMMN in the occipito-temporal region and showed a positive deviance detection activity (vMMP) in prefrontal region, both within an interval 90e200 msec after stimuli onset.…”

Section: Schizophreniamentioning

confidence: 99%

Visual mismatch negativity (vMMN): A review and meta-analysis of studies in psychiatric and neurological disorders

Kremláček

Kreegipuu

Tales

et al. 2016

Cortex

Self Cite

119

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The visual mismatch negativity (vMMN) response is an event-related potential (ERP) component, which is automatically elicited by events that violate predictions based on prior events. VMMN experiments use visual stimulus repetition to induce predictions, and vMMN is obtained by subtracting the response to rare unpredicted stimuli from those to frequent stimuli. One increasingly popular interpretation of the mismatch response postulates that vMMN, similar to its auditory counterpart (aMMN), represents a prediction error response generated by cortical mechanisms forming probabilistic representations of sensory signals. Here we discuss the physiological and theoretical basis of vMMN and review thirty-three studies from the emerging field of its clinical applications, presenting a meta-analysis of findings in schizophrenia, mood disorders, substance abuse, neurodegenerative disorders, developmental disorders, deafness, panic disorder and hypertension. Furthermore, we include reports on aging and maturation as they bear upon many clinically relevant conditions. Surveying the literature we found that vMMN is altered in several clinical populations which is in line with aMMN findings. An important potential advantage of vMMN however is that it allows the investigation of deficits in predictive processing in cognitive domains which rely primarily on visual information; a principal sensory modality and thus of vital importance in environmental information processing and response, and a modality which arguably may be more sensitive to some pathological changes. However, due to the relative infancy of research in vMMN compared to aMMN in clinical populations its potential for clinical application is not yet fully appreciated. The aim of this review and meta-analysis therefore is to present, in a detailed systematic manner, the findings from clinically-based vMMN studies, to discuss their potential impact and application, to raise awareness of this measure and to improve our understanding of disease upon fundamental aspects of visual information processing. Furthermore, we include reports on aging and maturation as they bear upon many clinically relevant conditions. Surveying the literature we found that vMMN is altered in several 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 clinical populations which is in line with aMMN findings. An important potential advantage of vMMN however is that it allows the investigation of deficits in predictive processing in cognitive domains which rely primarily on visual information; a principal sensor...

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“…Such dynamics are not evident in single neuron recordings or in gross electrophysiology (LFP/EEG), yet new results indicate that a breakdown in these local cortical 15 activity patterns may be a fundamental aspect of schizophrenia (14,15). Given that context processing (16), and namely the mismatch negativity biomarker (17,18), is reduced in schizophrenia, it is crucial that these functions and their components (SSA, deviance detection) be understood at the level of the neuronal ensemble.…”

mentioning

confidence: 99%

Cortical subnetworks encode context of visual stimulus

Hamm

Shymkiv

Han

et al. 2018

Preprint

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Cortical processing of sensory events is significantly influenced by context. For instance, a repetitive or redundant visual stimulus elicits attenuated cortical responses, but if the same stimulus is unexpected or "deviant", responses are augmented. This contextual modulation 20 of sensory processing is likely a fundamental function of neural circuits, yet an understanding of how it is computed is still missing. Using holographic two-photon calcium imaging in awake animals, here we identify three distinct, spatially intermixed ensembles of neurons in mouse primary visual cortex which differentially respond to the same stimulus under separate contexts, including a subnetwork which selectively responds to deviant events. These non-overlapping 25

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Elementary sensory deficits in schizophrenia indexed by impaired visual mismatch negativity

Cited by 37 publications

References 88 publications

Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders

Searching for Cross-Diagnostic Convergence: Neural Mechanisms Governing Excitation and Inhibition Balance in Schizophrenia and Autism Spectrum Disorders

Visual mismatch negativity (vMMN): A review and meta-analysis of studies in psychiatric and neurological disorders

Cortical subnetworks encode context of visual stimulus

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