Auditory mismatch detection, distraction, and attentional reorientation (MMN-P3a-RON) in neurological and psychiatric disorders: A review

Justo-Guillén, Edith; Ricardo-Garcell, Josefina; Rodríguez-Camacho, Mario; Rodríguez-Agudelo, Yaneth; Larrea-Mancera, E. Sebastian Lelo de; Solís-Vivanco, Rodolfo

doi:10.1016/j.ijpsycho.2019.09.010

Cited by 21 publications

(14 citation statements)

References 131 publications

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“…Extensive reviews of the EEG marker of involuntary attention called Mismatch Negativity (MMN), which is typically elicited between 100 and 150 ms in the fronto-central areas of the brain after the onset of a typically auditory stimulus, which is somewhat surprising or different, are provided in Duncan et al (2009 ) and Justo-Guillén et al (2019 ). Most often, the implemented paradigm is “oddball”—a succession of identical sounds, interspersed with different sounds.…”

Section: Learning Processes Revealed By Observing Eeg Activationsmentioning

confidence: 99%

A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education

et al. 2021

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Cyber-physical systems (CPSs) for special education rely on effective mental and brain processing during the lesson, performed with the assistance of humanoid robots. The improved diagnostic ability of the CPS is a prerogative of the system for efficient technological support of the pedagogical process. The article focuses on the available knowledge of possible EEG markers of abstraction, attentiveness, and memorisation (in some cases combined with eye tracking) related to predicting effective mental and brain processing during the lesson. The role of processing abstraction is emphasised as the learning mechanism, which is given priority over the other mechanisms by the cognitive system. The main markers in focus are P1, N170, Novelty P3, RewP, N400, and P600. The description of the effects is accompanied by the analysis of some implications for the design of novel educational scenarios in inclusive classes.

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Section: Learning Processes Revealed By Observing Eeg Activationsmentioning

confidence: 99%

A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education

et al. 2021

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“…This component, known as the reorienting negativity or RON, appears as a negative deflection at 400-600ms in response to reorientation of attention to the predictive/standard stimuli after it has been switched (indexed by P300) towards the preceding deviant stimuli (Correa-Jaraba et al, 2016; Ungan et al, 2019). Even though our study could not cover this ERP since it did not come out as a prominent peak in the subtraction waveforms ( Figure 1 ), especially in the audio only modality, we argue that RON too would, being a late component, have common brain generators like P300 across modalities and it is also shown to be centred upon fronto-central regions in extant literature (Correa-Jaraba et al, 2016; Justo-Guillén et al, 2019; Ungan et al, 2019). In the remaining text, we discuss the implications of the two key results.…”

Section: Discussionmentioning

confidence: 79%

Spatiotemporal mapping of the neural markers of prediction error processing across multisensory and unisensory modalities

Talwar

Ghosh

Banerjee

2022

Preprint

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Prediction errors in the brain are indexed by two event related potentials - MMN and P300 which are elicited whenever there is a violation of regularity in occurrence of a repetitive stimulus. While, MMN reflects the brain's ability to perform automatic comparisons between consecutive stimuli and provides an electrophysiological index of sensory error detection, P300 is associated with cognitive processes such as attention and memory. Till date, there has been extensive research on the roles of MMN and P300 individually, because of their potential to be used as clinical markers of consciousness and attention, respectively. However, the relationship between these two ERPs, in context of prediction error propagation is an open question. Secondly, whether these events represent modality specific or modality independent information processing needs to be tested in unisensory and multisensory environments. Our EEG study on 22 healthy human volunteers shows that multisensory prediction errors are temporally facilitated by the constituent unisensory modality that has shorter processing latencies at any stage of prediction error processing. Employing source localization using individual participant's MRI scan, our study reveals that the corresponding ERP generators underlying the temporal hierarchy of prediction mismatch signals in the brain transition from being modality sensitive to modality independent across both unisensory and multisensory contexts. Such knowledge can be of immense value in clinical research for determining the stages of various treatments in aging, schizophrenia and depression, and their efficacy on cognitive function.

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“…For instance, many studies support MMN and P300 amplitude reduction as feasible biomarkers of schizophrenia, but the same abnormalities have also been found in subjects with bipolar disorder and depression. [58][59][60] These findings suggest the presence of relationships between neurophysiological abnormalities and transdiagnostic psychiatric symptoms, rather than associations to a specific disorder. 61 More promising are results of studies conducted in subjects with schizophrenia, concerning the use of EEG abnormalities as potential predictors of illness course and outcome.…”

Section: Clinical Data: What Is Used and Why Reported Main Electrophymentioning

confidence: 86%

Special Report on the Impact of the COVID-19 Pandemic on Clinical EEG and Research and Consensus Recommendations for the Safe Use of EEG

Campanella

Arıkan²,

Babiloni

et al. 2020

Clin EEG Neurosci

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Introduction The global COVID-19 pandemic has affected the economy, daily life, and mental/physical health. The latter includes the use of electroencephalography (EEG) in clinical practice and research. We report a survey of the impact of COVID-19 on the use of clinical EEG in practice and research in several countries, and the recommendations of an international panel of experts for the safe application of EEG during and after this pandemic. Methods Fifteen clinicians from 8 different countries and 25 researchers from 13 different countries reported the impact of COVID-19 on their EEG activities, the procedures implemented in response to the COVID-19 pandemic, and precautions planned or already implemented during the reopening of EEG activities. Results Of the 15 clinical centers responding, 11 reported a total stoppage of all EEG activities, while 4 reduced the number of tests per day. In research settings, all 25 laboratories reported a complete stoppage of activity, with 7 laboratories reopening to some extent since initial closure. In both settings, recommended precautions for restarting or continuing EEG recording included strict hygienic rules, social distance, and assessment for infection symptoms among staff and patients/participants. Conclusions The COVID-19 pandemic interfered with the use of EEG recordings in clinical practice and even more in clinical research. We suggest updated best practices to allow safe EEG recordings in both research and clinical settings. The continued use of EEG is important in those with psychiatric diseases, particularly in times of social alarm such as the COVID-19 pandemic.

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Auditory mismatch detection, distraction, and attentional reorientation (MMN-P3a-RON) in neurological and psychiatric disorders: A review

Cited by 21 publications

References 131 publications

A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education

A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education

Spatiotemporal mapping of the neural markers of prediction error processing across multisensory and unisensory modalities

Special Report on the Impact of the COVID-19 Pandemic on Clinical EEG and Research and Consensus Recommendations for the Safe Use of EEG

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