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Relevant bibliographies by topics / Mismatch negativity

Academic literature on the topic 'Mismatch negativity'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 March 2023

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Journal articles on the topic "Mismatch negativity"

1

Sanju, HimanshuKumar, Prawin Kumar, and Akhil Mohanan. "Mismatch negativity." Indian Journal of Otology 21, no. 2 (2015): 81. http://dx.doi.org/10.4103/0971-7749.155290.

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Winkler, István, and István Czigler. "Mismatch negativity." NeuroReport 9, no. 17 (December 1998): 3809–13. http://dx.doi.org/10.1097/00001756-199812010-00008.

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Schröger, Erich. "Mismatch Negativity." Journal of Psychophysiology 21, no. 3-4 (January 2007): 138–46. http://dx.doi.org/10.1027/0269-8803.21.34.138.

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Since its discovery by Näätänen and colleagues in 1978, the mismatch negativity (MMN) has been used as an index of auditory sensory memory. The present paper explicates various possibilities of how MMN can assess memory functions, it reveals possible traps when interpreting MMN as an index of auditory memory, and it reviews recent developments of paradigms showing that memory on a short time-scale, consolidation of memory traces, and even implicit memory can be probed with MMN.

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Näätänen, Risto. "The Mismatch Negativity." Journal of Psychophysiology 21, no. 3-4 (January 2007): 133–37. http://dx.doi.org/10.1027/0269-8803.21.34.133.

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In the present article, I will selectively review some of the recent research on the brain substrates of central-auditory processing using the mismatch negativity (MMN) and its magnetoencephalographic equivalent MMNm, trying to identify some of the most promising trends in this research work. Although the early MMN research dealt almost exclusively with basic cognitive-neuroscience issues, more recently, the usefulness of the MMN phenomenon with regard to a large number of clinical and other applied issues has also been realized. Nine research lines or issues with particular promise will be identified, many of which are of a clinical/applied nature. Cognitive brain research using the MMN, an automatic electric response to any discriminable change in auditory stimulation, has continued for three decades and seems continuously to gain in number, inspired by novel findings, there now being approximately 1,000 articles in English-language international journals using, or referring to, the MMN. There are several highly promising research lines or issues: (1) the MMN as an index of early cognitive development, (2) the MMN as an index of the functional condition of the NMDA-receptor system, (3) the MMN as an index of the different brain pathologies underlying schizophrenia, (4) the role of the MMN in genetic research of psychopathology, (5) the extremely wide range of MMN deficiency across different clinical conditions and diseases, (6) the MMN in prediction of coma outcome, (7) the MMN as an index of primitive sensory intelligence in audition, and (8) the MMN as an index of brain mechanisms of speech perception and understanding. These findings, in particular (8), extend the interpretation of the MMN, currently mainly confined to sensory representations, to involve auditory memory in general.

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Czigler, István. "Visual Mismatch Negativity." Journal of Psychophysiology 21, no. 3-4 (January 2007): 224–30. http://dx.doi.org/10.1027/0269-8803.21.34.224.

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The visual homolog of the (auditory) mismatch negativity, the vMMN, has already been reviewed ( Pazo-Alvarez, Cadaveira, & Amenedo, 2003 ), but a considerable body of more recent research exists. The present paper concentrates on two crucial issues of vMMN research. These issues are the memory-dependence of the vMMN and the problem of attentive vs. nonattentive processing in vMMN research. While both issues require further clarification, vMMN seems to be a promising index of the nonattentional registration of the violation of environmental rules in the visual word.

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Näätänen, Risto. "The Mismatch Negativity." Ear and Hearing 16, no. 1 (February 1995): 6–18. http://dx.doi.org/10.1097/00003446-199502000-00002.

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Winkler, István. "Interpreting the Mismatch Negativity." Journal of Psychophysiology 21, no. 3-4 (January 2007): 147–63. http://dx.doi.org/10.1027/0269-8803.21.34.147.

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The widely accepted “memory-mismatch” interpretation of the mismatch negativity (MMN) event-related brain potential (ERP) suggests that an MMN is elicited when an acoustic event deviates from a memory record describing the immediate history of the sound sequence. The first variant of the memory-mismatch theory suggested that the memory underlying MMN generation was a strong auditory sensory memory trace, which encoded the repetitive standard sound. This “trace-mismatch” explanation of MMN has been primarily based on results obtained in the auditory oddball paradigm. However, in recent years, MMN has been observed in stimulus paradigms containing no frequently repeating sound. We now suggest a different variant of the memory-mismatch interpretation of MMN in order to provide a unified explanation of all MMN phenomena. The regularity-violation explanation of MMN assumes that the memory records retaining the history of auditory stimulation are regularity representations. These representations encode rules extracted from the regular intersound relationships, which are mapped to the concrete sound sequence by finely detailed auditory sensory information. Auditory events are compared with temporally aligned predictions drawn from the regularity representations (predictive models) and the observable MMN response reflects a process updating the representations of those detected regularities whose prediction was mismatched by the acoustic input. It is further suggested that the auditory deviance detection system serves to organize sound in the brain: The predictive models maintained by the MMN-generating process provide the basis of temporal grouping, a crucial step in the formation of auditory objects.

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Chen, Jui-Cheng, Antonella Macerollo, Anna Sadnicka, Min-Kuei Lu, Chon-Haw Tsai, Prasad Korlipara, Kailash Bhatia, John C. Rothwell, and Mark J. Edwards. "Cervical dystonia: Normal auditory mismatch negativity and abnormal somatosensory mismatch negativity." Clinical Neurophysiology 129, no. 9 (September 2018): 1947–54. http://dx.doi.org/10.1016/j.clinph.2018.05.028.

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9

NÄÄTÄNEN, R., P. PAAVILAINEN, H. TITINEN, D. JIANG, and K. ALHO. "Attention and mismatch negativity." Psychophysiology 30, no. 5 (September 1993): 436–50. http://dx.doi.org/10.1111/j.1469-8986.1993.tb02067.x.

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Jacobsen, Thomas, and Erich Schröger. "Measuring duration mismatch negativity." Clinical Neurophysiology 114, no. 6 (June 2003): 1133–43. http://dx.doi.org/10.1016/s1388-2457(03)00043-9.

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Dissertations / Theses on the topic "Mismatch negativity"

1

Gene-Cos, N. "Mismatch negativity in anxiety disorders." Thesis, Queen Mary, University of London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515466.

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Ferreira, Dulce Azevedo. "Caracterização do Mismatch Negativity em crianças." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2017. http://hdl.handle.net/10183/163755.

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Objetivo: Caracterizar as respostas do Mismatch Negativity (MMN) em crianças com limiares auditivos dentro dos padrões de normalidades e sem queixas auditivas. Métodos: Estudo do tipo transversal. Participaram desta pesquisa crianças de cinco a onze anos, sem queixas auditivas. Todos os participantes realizaram avaliação audiológica periférica com medidas de imitância acústica, audiometria tonal e audiometria vocal previamente à realização do MMN. Para a execução do procedimento eletrofisiológico, MMN, foi utilizado o equipamento Masbe ATC Plus da marca Contronic. Os eletrodos foram fixados nas posições Fpz (eletrodo ativo), M1 e M2 (eletrodos referência) e na fronte (eletrodo terra). A intensidade utilizada para evocar o potencial foi de 80 dBNA, o estímulo frequente utilizado foi de 1.000 Hz e o estímulo raro de 2.000 Hz. Os estímulos foram apresentados em ambas as orelhas de modo monoaural. As crianças realizaram a avaliação sentadas e foram condicionadas a assistirem a um vídeo sem som, no tablet, enquanto o procedimento era realizado. Resultados: Para o grupo feminino, a média das latências e amplitudes foi de 177,3 ms e 5,01 μV na orelha direita e de 182,4 ms e 5,39 μV na orelha esquerda. Quanto ao grupo masculino, a média das latências foi de 194,4 ms na orelha direita e 183,6 ms na orelha esquerda, com amplitude de 5,11 μV na orelha direita e 5,83 μV na orelha esquerda. Não houve diferença estatisticamente significante nos valores de latência e amplitude entre orelhas (p=0,867 e p=0,178), idade (p>0,20) e sexo dos participantes (p>0,05). Conclusão: Os valores encontrados nas latências e amplitudes do potencial MMN são semelhantes aos observados na literatura científica compulsada, em crianças com desenvolvimento típico e sem queixas auditivas.
Aim: To characterize the answers of Mismatch Negativity (MMN) in children with hearing thresholds within the normality patterns and without auditory complaints. Methods: Transversal type study. Children between 5 and 11 years old without auditory complaints have participated in this research. All the participants have done peripheral audiological evaluation with acoustic immittance measures, tonal audiometry and vocal audiometry previously to MMN execution. To perform the electrophysiological procedure, MMN, it was used Masbe ATC Plus equipment from Contronic brand. The electrodes were fixed in Fpz (active electrode), M1 and M2 (reference electrodes) and front (earth electrode) positions. The intensity used to evoke the potential was 80 dBNA, the frequent stimulus used was 1.000 Hz and the rare stimulus was 2.000 Hz. The stimuli were presented in both ears monoaurally. Children performed the assessment sat and they were conditioned to watch a video without sound, on a tablet computer, while the procedure was performed. Results: For the female group, the average of the latencies and amplitudes was 177,3 ms and 5,01 μV for the right ear and 182,4 ms and 5,39 μV for the left ear. Regarding the male group, the average of latencies was 194,4 ms for the right ear and 183,6 ms for the left ear, with an amplitude of 5,11 μV for the right ear and 5,83 μV for the left ear. There was no significant statistically difference for the values of latency and amplitude among ears (p=0,867 and p=0,178), age (p>0,20) and gender of the participants (p>0,05). Conclusion: The values found in the latencies and amplitudes of MMN potential are similar to those observed in the scientific literature examined, in children with typical development and without auditory complaints.

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Engeland, Christopher. "Nicotine and the mismatch negativity in Alzheimer's disease." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ27048.pdf.

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Engeland, Christopher (Christopher Gerald) Carleton University Dissertation Psychology. "Nicotine and the mismatch negativity in Alzheimer's disease." Ottawa, 1997.

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5

Doerfling, Paul. "The negative difference and mismatch negativity as measures of attention." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ56173.pdf.

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6

MacLean, Shannon Elizabeth. "Temporo-frontal phase synchronization supports hierarchical network for mismatch negativity." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/33788.

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Several cortical regions appear active when the mismatch negativity (MMN) scalp potential is evoked automatically in response to detectable auditory changes. It remains debatable whether the activation of regions beyond the auditory cortex is coincidental or functionally significant to the MMN response. We used independent component analysis (ICA) to separate high density EEG data (64-channel) prior to dipole fitting for two reasons: 1) to enhance the spatial resolution of EEG and 2) to provide temporal and frequency information about the cortical sources needed to evaluate their functional relationships during the MMN response. For a group of young adults (n = 12) passively listening to infrequent changes in complex tones while watching a silent movie, event-related activity within sources localized to the orbitofrontal cortex (OFC) and the bilateral superior temporal gyrus (STG) regions accounted for most of the scalp response variance implicating these regions as driving forces in the MMN. For a second group (n = 14) performing both passive and active listening across the same paradigm, cross-coherence (phase synchronization) during the MMN response was consistently found between the OFC and the STG bilaterally. During both paradigms the source in the right inferior frontal gryus (R IFG) was also synchronous with the STG-OFC network. When responding to deviant targets in the active paradigm, synchrony was more bilaterally distributed across the network. For a third group (n = 14) passively listening to infrequent changes in speech syllables, synchrony during the MMN response was found between the STG-OFC again as well as with regions in the R IFG and Broca’s area. This same subject group later attended to the speech syllables responding to deviants and standards with a different button press. Synchrony between the STG-OFC, and Broca’s area was found, as well synchrony with a source in the right anterior cingulate. All paradigms showed synchronous interactions both within and between the temporo-frontal regions that were modulated differentially by deviant and standard stimulus conditions as well as by task demands providing the first evidence of functional coupling within a hierarchical network coinciding with the MMN response evoked at the scalp.

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Abu, Qouta Nedal. "Auditiv mismatch negativity (MMN) : under hög och låg visuell belastning." Thesis, Stockholms universitet, Psykologiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-157556.

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Auditiv mismatch negativity (MMN) är en neurologisk hjärnrespons som visar hur känslig hjärnan är för auditiva förändringar. Perceptuell load teorin argumenterar att krävande visuella sökuppgifter eliminerar auditiva distraktorer från att bearbetas i arbetsminnet. Syftet är att observera event-related potential (ERP) händelser för att se om avvikande ljud exkluderas under hög visuell belastning. Ett korsmodalt uppmärksamhetstest utfördes där deltagarna (N = 26) fick utföra en visuell sökuppgift med två svårighetsgrader samtidigt som de skulle ignorera tonfrekvenser som spelades upp i bakgrunden. Resultatet visade auditiv MMN-respons under både låg och hög visuell belastning. Det fanns ingen tydlig skillnad på MMN mellan låg och hög belastning. Hörselcortex registrerade en avvikande ton i oddball och att samma ton fanns i kontroll-upplägget. Argument för att distraktorer bearbetas under kontrollerad uppmärksamhet. Ytterligare studier med större stickprov och olika ljudfrekvenser, naturliga och icke naturliga, krävs för att se hur ljuden påverkar bearbetningsprocessen.

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O'Reilly, Jamie Alexander. "Characterising mismatch negativity biomarker signatures in preclinical models relevant to schizophrenia." Thesis, University of Strathclyde, 2017. http://digitool.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=28635.

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Mismatch negativity (MMN) has been hailed as a 'break-through biomarker in predicting psychosis onset' (Naatanen 2015). This is because deficits have been found in clinical populations diagnosed with psychotic syndromes such as schizophrenia. MMN is an auditory evoked potential (AEP) difference waveform produced by subtracting standard from deviant stimuli AEPs elicited by an oddball paradigm; purportedly arising from any discriminable change in auditory stimulation. Despite nearly four decades of basic research into MMN the underlying mechanisms are not fully understood. Although popular theories suggest that it reflects a sensory-memory trace disruption and/or differential adaptation of responses to standard and deviant/oddball stimuli, there remains considerable debate over the neural mechanism and its interpretation. Nevertheless, associations made between N-methyl-d-aspartate (NMDA) receptors in schizophrenia and findings showing that NMDA receptor antagonists (e.g. ketamine) induce MMN deficits in healthy volunteers suggests abnormal MMNs share common traits and support its use as a biomarker from an electrophysiological perspective. However, this is still speculative and there is great impetus on developing reliable preclinical models of MMN in order to examine the underpinning neurophysiology and therefore its reliance on NMDA receptors as a test of pathology in schizophrenia. A question this thesis aims to address is whether a mismatch response (MMR) exists in rodents which is analogous to the human MMN, and whether its modification by NMDA receptor antagonists or as a result of schizophrenia-related genetic modification sheds light on its utility as a biomarker in disease models of schizophrenia. This thesis describes three experiments performed using mitogen activated protein kinase kinase 7 heterozygous (Map2k7+/-) mice and their wild-type littermates, incorporating NMDA receptor antagonism with ketamine (10 mg/kg i.p.). The MAP2K7 gene is associated with schizophrenia and codes for a post-synaptic intracellular signalling enzyme which is activated following glutamatergic excitation, for instance via NMDA receptors. The MMR to stimuli duration, frequency and intensity changes in oddball paradigms are characterised in urethane-anaesthetised and conscious animals, followed by an examination of laminar auditory cortex activity in response to these physical changes. Data recorded throughout this series of experiments includes cortical electroencephalography (EEG), video footage, and intra-cortical spiking information. These data were then analysed using various time, frequency and time-frequency domain techniques; although mainly focussing on the event-related potential (ERP) approach. Recordings demonstrated substantial differences in the AEP waveform evoked from urethane-anaesthetised and conscious animals, with the latter displaying considerably more dynamic responses, although onset and offset of auditory stimuli induced comparable waveform features in both states. Effects of varying physical properties of stimuli in oddball and control paradigms have been identified as key determinants of the AEP and correspondingly the MMR difference waveform amplitudes. The finding that NMDA receptor disruption in conscious animals by ketamine acutely diminishes a specific AEP feature (≈20-50 ms post stimulus onset) which may impact the resulting MMR tentatively links this study in mice with findings from humans noted above. Ketamine was also found to enhance animal movement and increase EEG spectral power in the 50-70 Hz (gamma-band) frequency range, observed for approximately 10 minutes following drug administration. Both anaesthetised and conscious cohorts of Map2k7+/- mice displayed a significantly enhanced onset response (≈0-20 ms) in the AEP. Interestingly, ketamine did not appear to have a differential effect on Map2k7+/- mice compared with the wild-type group, suggesting that NMDA receptor-mediated neurotransmission is unimpaired in this genetic model relevant to schizophrenia. Overall, the findings suggest that the MMR in mice is fundamentally influenced by the physical properties of stimuli employed; ketamine causes an acute, specific alteration to the AEP in conscious mice in addition to other electrophysiological and behavioural changes; and Map2k7 gene disruption causes a specific and replicable change in AEP amplitude. Overall this study indicates that mouse models are useful for exploring the effects of different pharmacological and genetic manipulations on the auditory evoked response; however, MMN data in clinical cohorts still needs to be interpreted with care. In order to address whether the rodent MMR is analogous to human MMN, it would be necessary to probe how influencing factors revealed in the rodent studies impact on the human response. Whilst the rodent MMR and human MMN show some degree of translation, their potential as schizophrenia biomarkers requires further characterisation and validation.

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Wei, Dawei. "Early and automatic processing of written Chinese : visual mismatch negativity studies." Thesis, University of Nottingham, 2017. http://eprints.nottingham.ac.uk/47161/.

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Fluent reading entails multiple levels of analysis including orthography, syntax and semantics but is also characterised by fast speed and apparent ease in understanding the various linguistic input. This thesis therefore focuses on the earliness and automaticity of single word recognition, which is a fundamental component of reading process. Exactly when a visual stimulus is recognised as a word and comprehended, and to what extent this is an automatic and not a controlled process, are two of the most debated issues in psycholinguistic research. A series of six Event-Related Potential (ERP) studies were carried out in this study, with the first five of these investigating Chinese single character words and pseudowords and the sixth investigating Spanish words and word-like strings. The critical ERP component of interest is visual Mismatch Negativity (vMMN), a visual counterpart of the well-documented auditory MMN (Näätänen, Gaillard, & Mäntysalo, 1978). VMMN has recently been demonstrated to be a neural index of automatic processing of not only generic visual features but also written words. To overcome the compounding of physical differences between stimulus conditions, a “same-stimulus” identity oddball paradigm was adopted throughout the studies. The vMMN was computed by comparing the ERP responses to deviant and standard stimuli of the same lexical/semantic category. It was found that lexical and semantic vMMN effects could be obtained within the first 250 ms after the stimulus onset, even when the critical words were presented briefly and outside of the focus of attention (perifoveally) and participants were instructed to carry out a non-linguistic distraction task, indicating automaticity of processing. The similarity in the timing of these early vMMN responses lends support to parallel processing models of linguistic information processing. In addition, vMMN to changes in lexicality was subject to configurations in the cognitive system, with attention and the magnitude of deviance revealed as two important variables. Language vMMN effects in normal adults as revealed in this thesis may serve as a benchmark for assessing the reading abilities of first or second language readers, as well as of people with linguistic impairments, such as dyslexia.

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Perry, Elizabeth Anne. "Brain Mapping of the Mismatch Negativity Response in Vowel Formant Processing." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3226.

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The mismatch negativity (MMN) response, a passively-elicited component of the auditory event-related potential (ERP), reflects preattentive identification of infrequent changes in acoustic stimuli. In the current study, the MMN response was examined closely to determine what extent natural speech sounds evoke the MMN. It was hypothesized that a significant MMN response results during the presentation of deviant stimuli from which spectral energy within formant bands critical to vowel identification has been removed. Localizations of dipoles within the cortex were hypothesized to yield information pertaining to the processing of formant-specific linguistic information. A same/different discrimination task was administered to 20 adult participants (10 female and 10 male) between the ages of 18 and 26 years. Data from behavioral responses and ERPs were recorded. Results demonstrated that the MMN may be evoked by natural speech sounds. Grand-averaged brain maps of ERPs created for all stimulus pairs showed a large preattentive negativity. Additionally, amplitudes of the MMN were greatest for pairs of auditory stimuli in which spectral energy not corresponding to formant frequencies was digitally eliminated. Dipoles reconstructed from temporal ERP data were located in cortical areas known to support language and auditory processing. Significant differences between stimulus type and reaction time were also noted. The current investigation confirms that the MMN response is evoked by natural speech sounds and provides evidence for a theory of preattentive formant-based processing of speech sounds.

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Books on the topic "Mismatch negativity"

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Green, Heather Lee. Evaluation of Mismatch Negativity as a Biomarker for Autism Spectrum Disorder. [New York, N.Y.?]: [publisher not identified], 2016.

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Näätänen, Risto, Teija Kujala, and Gregory Light. The Mismatch Negativity. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198705079.001.0001.

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This book introduces the electrophysiological change-detection response of the brain called the mismatch negativity (MMN). MMN is elicited by any discriminable change in some repetitive aspect of ongoing auditory stimulation even in the absence of attention, causing an attentional shift to change, hence representing a response of vital significance to the organism. In addition, an analogous response is also elicited in the other sensory modalities and occurs in different species and in the different developmental stages from infancy to the old age. Importantly, MMN, reflecting the NMDA-receptor functioning, is affected in different cognitive brain disorders, providing an index of the severity of the disorder and effectiveness of remediating treatments.

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Näätänen, Risto, and Kairi Kreegipuu. The Mismatch Negativity (MMN). Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780195374148.013.0081.

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Hestvik, Arild, Valerie L. Shafer, Aditi Lahiri, and Mathias Scharinger, eds. Phonological Representations and Mismatch Negativity Asymmetries. Frontiers Media SA, 2022. http://dx.doi.org/10.3389/978-2-88974-733-7.

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Naatanen, R. Mismatch Negativity (Audiology & Neuro-Otology, 3-4). Not Avail, 2000.

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Light, Gregory, Risto Näätänen, and Teija Kujala. Mismatch Negativity: A Window to the Brain. Oxford University Press, 2019.

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Stefanics, Gabor, Piia Astikainen, and István Czigler, eds. Visual Mismatch Negativity (vMMN): a Prediction Error Signal in the Visual Modality. Frontiers Media SA, 2015. http://dx.doi.org/10.3389/978-2-88919-560-2.

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Book chapters on the topic "Mismatch negativity"

1

Morgan, Michael M., MacDonald J. Christie, Thomas Steckler, Ben J. Harrison, Christos Pantelis, Christof Baltes, Thomas Mueggler, et al. "Mismatch Negativity." In Encyclopedia of Psychopharmacology, 786. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_1555.

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Hutchins, Tiffany, Giacomo Vivanti, Natasa Mateljevic, Roger J. Jou, Frederick Shic, Lauren Cornew, Timothy P. L. Roberts, et al. "Mismatch Negativity." In Encyclopedia of Autism Spectrum Disorders, 1878–82. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1698-3_738.

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Aaronson, Benjamin, and Raphael Bernier. "Mismatch Negativity." In Encyclopedia of Autism Spectrum Disorders, 2930–33. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-91280-6_738.

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Heslenfeld, Dirk J. "Visual Mismatch Negativity." In Detection of Change, 41–59. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0294-4_3.

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Näätänen, Risto, and Heikki Lyytinen. "Mismatch negativity in sleep." In Sleep onset: Normal and abnormal processes., 339–49. Washington: American Psychological Association, 1994. http://dx.doi.org/10.1037/10166-020.

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Cong, Fengyu, X. Xu, T. Ristaniemi, and H. Lyytinen. "Empirical Mode Decomposition on Mismatch Negativity." In IFMBE Proceedings, 206–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69367-3_56.

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Hirasawa, Kyoko. "Mismatch Negativity in Healthy Neonates and Premature Babies." In Sudden Infant Death Syndrome, 117–28. Tokyo: Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54315-2_8.

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Cong, Fengyu, Aleksandr Aleksandrov, Veronika Knyazeva, Tatyana Deinekina, and Tapani Ristaniemi. "A Systematic Independent Component Analysis Approach to Extract Mismatch Negativity." In Advances in Neural Networks – ISNN 2012, 411–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31346-2_47.

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Kawahara, Yasuhiro, Yoshitada Katagiri, and Juzo Ishii. "Mismatch Negativity as a Marker of Detecting Difference of Music Chords." In Communications in Computer and Information Science, 300–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54121-6_28.

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Kujala, T. "The Mismatch Negativity As an Index of Auditory Dysfunction in Dyslexia." In Basic Functions of Language, Reading and Reading Disability, 359–68. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1011-6_21.

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Conference papers on the topic "Mismatch negativity"

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Maekawa, Toshihiko, Shigenobu Kanba, and Shozo Tobimatsu. "Evidence for Visual Analogue of Auditory Mismatch Negativity." In 2007 IEEE/ICME International Conference on Complex Medical Engineering. IEEE, 2007. http://dx.doi.org/10.1109/iccme.2007.4381998.

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Melia, U. S. P., M. Vallverdu, F. Claria, J. Casanova, J. Valls-Sole, and P. Caminal. "Time-frequency characterization of mismatch negativity in nociceptive responses." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091902.

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Chang, Ming, Hiroyuki Iizuka, Yasushi Naruse, Hideyuki Ando, and Taro Maeda. "An interface for unconscious learning using mismatch negativity neurofeedback." In AH '14: 5th Augmented Human International Conference. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2582051.2582079.

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Chang, Ming, Hiroyuki Iizuka, Yasushi Naruse, Hideyuki Ando, and Taro Maeda. "Unconscious learning of speech sounds using mismatch negativity neurofeedback." In AH '15: The 6th Augmented Human International Conference. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2735711.2735827.

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Haiyan Ding and Datian Ye. "Mismatch Negativity to Different Time-frequency Distribution Complex Tones." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1616869.

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Armanfard, Narges, Majid Komeili, James P. Reilly, Richard Mah, and John F. Connolly. "Automatic and continuous assessment of ERPs for mismatch negativity detection." In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2016. http://dx.doi.org/10.1109/embc.2016.7590863.

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Zhou, Sijie, Jing Jin, Yu Zhang, and Xingyu Wang. "An Optimized BCI System Based on P300 and Visual Mismatch Negativity." In 2015 2nd International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2015. http://dx.doi.org/10.1109/icisce.2015.143.

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Miyamoto, Hiroki, Akiyoshi Hara, Masahiro Furukawa, Hideyuki Ando, and Taro Maeda. "Mismatch negativity for visuo-tactile inconsistency in rubber hand illusion paradigm." In AH '20: 11th Augmented Human International Conference. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3396339.3396391.

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Cong, F., Z. Zhang, I. Kalyakin, T. Huttunen-Scott, H. Lyytinen, and T. Ristaniemi. "Non-negative matrix factorization Vs. FastICA on mismatch negativity of children." In 2009 International Joint Conference on Neural Networks (IJCNN 2009 - Atlanta). IEEE, 2009. http://dx.doi.org/10.1109/ijcnn.2009.5179068.

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Kalyakin, Igor, Narciso González, and Heikki Lyytinen. "Extraction of the Mismatch Negativity on Two Paradigms Using Independent Component Analysis." In 2008 21st International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2008. http://dx.doi.org/10.1109/cbms.2008.72.

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Reports on the topic "Mismatch negativity"

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Bittmann, Felix. Academic track mismatch and the temporal development of well-being and competences in German secondary education. Verlag der Österreichischen Akademie der Wissenschaften, May 2021. http://dx.doi.org/10.1553/populationyearbook2021.res5.1.

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Abstract:

Formal education is one of the most influential predictors of professional success. As parents in Germany are aware of the importance of education, they often try to enable their children to enrol in the prestigious academic schooling track (Gymnasium). This explains why the transition recommendation made by the teacher after the fourth grade is sometimes ignored if the desired track was not recommended for a particular student. How the mismatch between the teacher’s recommendation and the parents’ choice of schooling for their child affects the child’s development is not sufficiently known. It is very likely that such a mismatch can have consequences for the child’s well-being, competences and overall academic success. Based on five consecutive panel waves of German National Educational Panel Study (NEPS) data (waves 1 to 5, collected between 2010 and 2016) (n = 2;790 in wave 1), our analyses demonstrate that social background and the probability of ignoring a teacher’s recommendation are associated, and that highly educated parents are more likely to overrule the teacher’s recommendation. Panel regression models show that pupils who pursued the academic track (Gymnasium) despite the absence of a teacher’s recommendation were more likely to drop out of the academic schooling track, and were not able to catch up with their peers with respect to both objective and subjective academic competences over the entire observation window. However, the models also show that academic track mismatch did not seem to negatively influence the health and well-being of these pupils.

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