Mismatch negativity

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The mismatch negativity (MMN) or mismatch field (MMF) is a component of the event-related potential (ERP) to an odd stimulus in a sequence of stimuli. It arises from electrical activity in the brain and is studied within the field of cognitive neuroscience and psychology. It can occur in any sensory system, but has most frequently been studied for hearing and for vision, in which case it is abbreviated to vMMN. [1] The (v)MMN occurs after an infrequent change in a repetitive sequence of stimuli (sometimes the entire sequence is called an oddball sequence.) For example, a rare deviant (d) stimulus can be interspersed among a series of frequent standard (s) stimuli (e.g., s s s s s s s s s d s s s s s s d s s s d s s s s...). In hearing, a deviant sound can differ from the standards in one or more perceptual features such as pitch, duration, loudness, or location. [2] The MMN can be elicited regardless of whether someone is paying attention to the sequence. [3] During auditory sequences, a person can be reading or watching a silent subtitled movie, yet still show a clear MMN. In the case of visual stimuli, the MMN occurs after an infrequent change in a repetitive sequence of images.

Contents

MMN refers to the mismatch response in electroencephalography (EEG); MMF or MMNM refer to the mismatch response in magnetoencephalography (MEG).

History

The auditory MMN was discovered in 1978 by Risto Näätänen, A. W. K. Gaillard, and S. Mäntysalo at the Institute for Perception, TNO in The Netherlands. [4]

The first report of a visual MMN was in 1990 by Rainer Cammer. [5] For a history of the development of the visual MMN, see Pazo-Alvarez et al. (2003). [6]

Characteristics

The MMN is a response to a deviant within a sequence of otherwise regular stimuli; thus, in an experimental setting, it is produced when stimuli are presented in a many-to-one ratio; for example, in a sequence of sounds s s s s s s s d s s s s d s s s..., the d is the deviant or oddball stimulus, and will elicit an MMN response. The mismatch negativity occurs even if the subject is not consciously paying attention to the stimuli. [4] Processing of sensory stimulus features is essential for humans in determining their responses and actions. If behaviourally relevant aspects of the environment are not correctly represented in the brain, then the organism's behaviour cannot be appropriate. Without these representations our ability to understand spoken language, for example, would be seriously impaired. Cognitive neuroscience has consequently emphasised the importance of understanding brain mechanisms of sensory information processing, that is, the sensory prerequisites of cognition. Most of the data obtained, unfortunately, do not allow the objective measurement of the accuracy of these stimulus representations. [7] In addition, recent cognitive neuroscience seems to have succeeded in extracting such a measure, however. This is the mismatch negativity (MMN), a component of the event-related potential (ERP), first reported by Näätänen, Gaillard, and Mäntysalo (1978). [4] An in-depth review of MMN research can be found in Näätänen (1992) [7] while other recent reviews also provide information on the generator mechanisms of MMN, [8] its magnetic counterpart, MMNm (Näätänen, Ilmoniemi & Alho, 1994), [9] and its clinical applicability. [10]

The auditory MMN can occur in response to deviance in pitch, intensity, or duration. The auditory MMN is a fronto-central negative potential with sources in the primary and non-primary auditory cortex and a typical latency of 150-250 ms after the onset of the deviant stimulus. Sources could also include the inferior frontal gyrus, and the insular cortex. [11] [12] [13] The amplitude and latency of the MMN is related to how different the deviant stimulus is from the standard. Large deviances elicit MMN at earlier latencies. For very large deviances, the MMN can even overlap the N100. [14]

The visual MMN can occur in response to deviance in such aspects as color, size, or duration. The visual MMN is an occipital negative potential with sources in the primary visual cortex and a typical latency of 150-250 ms after the onset of the deviant stimulus.

Neurolinguistics

As kindred phenomena have been elicited with speech stimuli, under passive conditions that require very little active attention to the sound, a version of MMN has been frequently used in studies of neurolinguistic perception, to test whether or not these participants neurologically distinguish between certain kinds of sounds. [15] The MMN response has been used to study how fetuses and newborns discriminate speech sounds. [16] [17] In addition to these kinds of studies focusing on phonological processing, some research has implicated the MMN in syntactic processing. [18] Some of these studies have attempted to directly test the automaticity of the MMN, providing converging evidence for the understanding of the MMN as a task-independent and automatic response. [19]

For basic stimulus features

MMN is evoked by an infrequently presented stimulus ("deviant"), differing from the frequently-occurring stimuli ("standards") in one or several physical parameters like duration, intensity, or frequency. [7] In addition, it is generated by a change in spectrally complex stimuli like phonemes, in synthesised instrumental tones, or in the spectral component of tone timbre. Also the temporal order reversals elicit an MMN when successive sound elements differ either in frequency, intensity, or duration. The MMN is not elicited by stimuli with deviant stimulus parameters when they are presented without the intervening standards. Thus, the MMN has been suggested to reflect change detection when a memory trace representing the constant standard stimulus and the neural code of the stimulus with deviant parameter(s) are discrepant.

Vs. auditory sensory memory

The MMN data can be understood as providing evidence that stimulus features are separately analysed and stored in the vicinity of auditory cortex (for a discussion, please see the theory section below). The close resemblance of the behaviour of the MMN to that of the previously behaviourally observed "echoic" memory system strongly suggests that the MMN provides a non-invasive, objective, task-independently measurable physiological correlate of stimulus-feature representations in auditory sensory memory.

Relationship to attentional processes

The experimental evidence suggests that the auditory sensory memory index MMN provides sensory data for attentional processes, and, in essence, governs certain aspects of attentive information processing. This is evident in the finding that the latency of the MMN determines the timing of behavioural responses to changes in the auditory environment. [20] Furthermore, even individual differences in discrimination ability can be probed with the MMN. The MMN is a component of the chain of brain events causing attention switches to changes in the environment. Attentional instructions also affect MMN. [21] [22] [23] [24] [25]

In clinical research

The MMN has been documented in a number of studies to disclose neuropathological changes. Presently, the accumulated body of evidence suggests that while the MMN offers unique opportunities to basic research of the information processing of a healthy brain, it might be useful in tapping neurodegenerative changes as well.

MMN, which is elicited irrespective of attention, provides an objective means for evaluating possible auditory discrimination and sensory-memory anomalies in such clinical groups as dyslexics and patients with aphasia, who have a multitude of symptoms including attentional problems. Recent results suggest that a major problem underlying the reading deficit in dyslexia might be an inability of the dyslexics' auditory cortex to adequately model complex sound patterns with fast temporal variation. [26] According to the results of an ongoing study, MMN might also be used in the evaluation of auditory perception deficits in aphasia.

Alzheimer's patients demonstrate decreased amplitude of MMN, especially with long inter-stimulus intervals; this is thought to reflect reduced span of auditory sensory memory. Parkinsonian patients do demonstrate a similar deficit pattern, whereas alcoholism would appear to enhance the MMN response. This latter, seemingly contradictory, finding could be explained by hyperexcitability of CNS neurones resulting from neuroadaptive changes taking place during a heavy drinking bout.

While the results obtained thus far seem encouraging, several steps need to be taken before the MMN can be used as a clinical tool in patient treatment. A focus of research in the late 1990s aimed to tackle some of the key signal-analysis problems encountered in development of clinical use of MMN and challenges still remain. Nevertheless, as it stands, clinical research employing the MMN has already produced significant knowledge on the CNS functional changes related to cognitive decline in the aforementioned clinical disorders.

A 2010 study found that MMN durations were reduced in a group of schizophrenia patients who later went on to have psychotic episodes, suggesting that MMN durations may predict future psychosis. [27] Recent research advocates for the use of MMN in clinical intervention, because MMN can predict treatment response for patients with schizophrenia in the context of pro-cognitive therapeutics. [28]

Theory

The mainstream "memory trace" interpretation of MMN is that it is elicited in response to violations of simple rules governing the properties of information. It is thought to arise from violation of an automatically formed, short-term neural model or memory trace of physical or abstract environmental regularities. [29] [30] However, other than MMN, there is no other neurophysiological evidence for the formation of the memory representation of those regularities.[ citation needed ]

Integral to this memory trace view is that there are: i) a population of sensory afferent neuronal elements that respond to sound, and; ii) a separate population of memory neuronal elements that build a neural model of standard stimulation and respond more vigorously when the incoming stimulation violates that neural model, eliciting an MMN.

An alternative "fresh afferent" interpretation [7] [31] is that there are no memory neuronal elements, but the sensory afferent neuronal elements that are tuned to properties of the standard stimulation respond less vigorously upon repeated stimulation. Thus when a deviant activates a distinct new population of neuronal elements that is tuned to the different properties of the deviant rather than the standard, these fresh afferents respond more vigorously, eliciting an MMN.

A third view is that the sensory afferents are the memory neurons. [32] [33]

See also

Related Research Articles

An evoked potential or evoked response is an electrical potential in a specific pattern recorded from a specific part of the nervous system, especially the brain, of a human or other animals following presentation of a stimulus such as a light flash or a pure tone. Different types of potentials result from stimuli of different modalities and types. Evoked potential is distinct from spontaneous potentials as detected by electroencephalography (EEG), electromyography (EMG), or other electrophysiologic recording method. Such potentials are useful for electrodiagnosis and monitoring that include detections of disease and drug-related sensory dysfunction and intraoperative monitoring of sensory pathway integrity.

<span class="mw-page-title-main">Neurolinguistics</span> Neuroscience and linguistics-related studies

Neurolinguistics is the study of neural mechanisms in the human brain that control the comprehension, production, and acquisition of language. As an interdisciplinary field, neurolinguistics draws methods and theories from fields such as neuroscience, linguistics, cognitive science, communication disorders and neuropsychology. Researchers are drawn to the field from a variety of backgrounds, bringing along a variety of experimental techniques as well as widely varying theoretical perspectives. Much work in neurolinguistics is informed by models in psycholinguistics and theoretical linguistics, and is focused on investigating how the brain can implement the processes that theoretical and psycholinguistics propose are necessary in producing and comprehending language. Neurolinguists study the physiological mechanisms by which the brain processes information related to language, and evaluate linguistic and psycholinguistic theories, using aphasiology, brain imaging, electrophysiology, and computer modeling.

<span class="mw-page-title-main">Event-related potential</span> Brain response that is the direct result of a specific sensory, cognitive, or motor event

An event-related potential (ERP) is the measured brain response that is the direct result of a specific sensory, cognitive, or motor event. More formally, it is any stereotyped electrophysiological response to a stimulus. The study of the brain in this way provides a noninvasive means of evaluating brain functioning.

<span class="mw-page-title-main">Sensory overload</span> State of overwhelm caused by an excess of sensory input

Sensory overload occurs when one or more of the body's senses experiences over-stimulation from the environment.

Sensory gating describes neural processes of filtering out redundant or irrelevant stimuli from all possible environmental stimuli reaching the brain. Also referred to as gating or filtering, sensory gating prevents an overload of information in the higher cortical centers of the brain. Sensory gating can also occur in different forms through changes in both perception and sensation, affected by various factors such as "arousal, recent stimulus exposure, and selective attention.

<span class="mw-page-title-main">Risto Näätänen</span> Finnish psychologist

Risto Kalervo Näätänen was a psychological scientist, pioneer in the field of cognitive neuroscience, and known worldwide as one of the discoverers of the electrophysiological mismatch negativity. He has been a much-cited social scientist and one of the few individuals appointed permanent Academy Professor of the Academy of Finland. He retired in 2007, retaining a title of Academy Professor emeritus of the Academy of Finland. Since 2007, he has been a professor at the University of Tartu.

Echoic memory is the sensory memory that registers specific to auditory information (sounds). Once an auditory stimulus is heard, it is stored in memory so that it can be processed and understood. Unlike most visual memory, where a person can choose how long to view the stimulus and can reassess it repeatedly, auditory stimuli are usually transient and cannot be reassessed. Since echoic memories are heard once, they are stored for slightly longer periods of time than iconic memories. Auditory stimuli are received by the ear one at a time before they can be processed and understood.

The contingent negative variation (CNV) is a negative slow surface potential, as measured by electroencephalography (EEG), that occurs during the period between a warning stimulus or signal and an imperative ("go") stimulus. The CNV was one of the first event-related potential (ERP) components to be described. The CNV component was first described by W. Grey Walter and colleagues in an article published in Nature in 1964. The importance of this finding was that it was one of the first studies which showed that consistent patterns of the amplitude of electric responses could be obtained from the large background noise which occurs in EEG recordings and that this activity could be related to a cognitive process such as expectancy.

<span class="mw-page-title-main">Erich Schröger</span> German neuroscientist (born 1958)

Erich Schröger is a German psychologist and neuroscientist.

In neuroscience, the N100 or N1 is a large, negative-going evoked potential measured by electroencephalography ; it peaks in adults between 80 and 120 milliseconds after the onset of a stimulus, and is distributed mostly over the fronto-central region of the scalp. It is elicited by any unpredictable stimulus in the absence of task demands. It is often referred to with the following P200 evoked potential as the "N100-P200" or "N1-P2" complex. While most research focuses on auditory stimuli, the N100 also occurs for visual, olfactory, heat, pain, balance, respiration blocking, and somatosensory stimuli.

The neuroscience of music is the scientific study of brain-based mechanisms involved in the cognitive processes underlying music. These behaviours include music listening, performing, composing, reading, writing, and ancillary activities. It also is increasingly concerned with the brain basis for musical aesthetics and musical emotion. Scientists working in this field may have training in cognitive neuroscience, neurology, neuroanatomy, psychology, music theory, computer science, and other relevant fields.

The P3a, or novelty P3, is a component of time-locked (EEG) signals known as event-related potentials (ERP). The P3a is a positive-going scalp-recorded brain potential that has a maximum amplitude over frontal/central electrode sites with a peak latency falling in the range of 250–280 ms. The P3a has been associated with brain activity related to the engagement of attention and the processing of novelty.

In neuroscience, the visual P200 or P2 is a waveform component or feature of the event-related potential (ERP) measured at the human scalp. Like other potential changes measurable from the scalp, this effect is believed to reflect the post-synaptic activity of a specific neural process. The P2 component, also known as the P200, is so named because it is a positive going electrical potential that peaks at about 200 milliseconds after the onset of some external stimulus. This component is often distributed around the centro-frontal and the parieto-occipital areas of the scalp. It is generally found to be maximal around the vertex of the scalp, however there have been some topographical differences noted in ERP studies of the P2 in different experimental conditions.

The N200, or N2, is an event-related potential (ERP) component. An ERP can be monitored using a non-invasive electroencephalography (EEG) cap that is fitted over the scalp on human subjects. An EEG cap allows researchers and clinicians to monitor the minute electrical activity that reaches the surface of the scalp from post-synaptic potentials in neurons, which fluctuate in relation to cognitive processing. EEG provides millisecond-level temporal resolution and is therefore known as one of the most direct measures of covert mental operations in the brain. The N200 in particular is a negative-going wave that peaks 200-350ms post-stimulus and is found primarily over anterior scalp sites. Past research focused on the N200 as a mismatch detector, but it has also been found to reflect executive cognitive control functions, and has recently been used in the study of language.

Error-related negativity (ERN), sometimes referred to as the Ne, is a component of an event-related potential (ERP). ERPs are electrical activity in the brain as measured through electroencephalography (EEG) and time-locked to an external event or a response. A robust ERN component is observed after errors are committed during various choice tasks, even when the participant is not explicitly aware of making the error; however, in the case of unconscious errors the ERN is reduced. An ERN is also observed when non-human primates commit errors.

<span class="mw-page-title-main">P3b</span>

The P3b is a subcomponent of the P300, an event-related potential (ERP) component that can be observed in human scalp recordings of brain electrical activity. The P3b is a positive-going amplitude peaking at around 300 ms, though the peak will vary in latency from 250 to 500 ms or later depending upon the task and on the individual subject response. Amplitudes are typically highest on the scalp over parietal brain areas.

The oddball paradigm is an experimental design used within psychology research. Presentations of sequences of repetitive stimuli are infrequently interrupted by a deviant stimulus. The reaction of the participant to this "oddball" stimulus is recorded.

Chronostasis is a type of temporal illusion in which the first impression following the introduction of a new event or task-demand to the brain can appear to be extended in time. For example, chronostasis temporarily occurs when fixating on a target stimulus, immediately following a saccade. This elicits an overestimation in the temporal duration for which that target stimulus was perceived. This effect can extend apparent durations by up to half a second and is consistent with the idea that the visual system models events prior to perception.

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During every moment of an organism's life, sensory information is being taken in by sensory receptors and processed by the nervous system. Sensory information is stored in sensory memory just long enough to be transferred to short-term memory. Humans have five traditional senses: sight, hearing, taste, smell, touch. Sensory memory (SM) allows individuals to retain impressions of sensory information after the original stimulus has ceased. A common demonstration of SM is a child's ability to write letters and make circles by twirling a sparkler at night. When the sparkler is spun fast enough, it appears to leave a trail which forms a continuous image. This "light trail" is the image that is represented in the visual sensory store known as iconic memory. The other two types of SM that have been most extensively studied are echoic memory, and haptic memory; however, it is reasonable to assume that each physiological sense has a corresponding memory store. Children for example have been shown to remember specific "sweet" tastes during incidental learning trials but the nature of this gustatory store is still unclear. However, sensory memories might be related to a region of the thalamus, which serves as a source of signals encoding past experiences in the neocortex.

References

  1. ↑ Stefanics, G; Kremláček, J; Czigler, I (2014). "Visual mismatch negativity: A predictive coding view". Frontiers in Human Neuroscience. 8 (666): 666. doi: 10.3389/fnhum.2014.00666 . PMC   4165279 . PMID   25278859.
  2. ↑ Näätänen R, Paavilainen P, Tiitinen H, Jiang D, Alho K (September 1993). "Attention and mismatch negativity". Psychophysiology. 30 (5): 436–50. doi:10.1111/j.1469-8986.1993.tb02067.x. PMID   8416070.
  3. ↑ Brattico E, Tervaniemi M, Näätänen R, Peretz I (October 2006). "Musical scale properties are automatically processed in the human auditory cortex" (PDF). Brain Research. 1117 (1): 162–74. doi:10.1016/j.brainres.2006.08.023. PMID   16963000. S2CID   8401429.
  4. 1 2 3 Näätänen R, Gaillard AW, Mäntysalo S (July 1978). "Early selective-attention effect on evoked potential reinterpreted". Acta Psychologica. 42 (4): 313–29. doi:10.1016/0001-6918(78)90006-9. PMID   685709.
  5. ↑ Cammann R (1990). "Is there no MMN in the visual modality?". Behavioral and Brain Sciences. 13 (2): 234–235. doi:10.1017/s0140525x00078420. S2CID   143448593.
  6. ↑ Pazo-Alvarez P, Cadaveira F, Amenedo E (July 2003). "MMN in the visual modality: a review". Biological Psychology. 63 (3): 199–236. doi:10.1016/s0301-0511(03)00049-8. PMID   12853168. S2CID   14404599.
  7. 1 2 3 4 Näätänen R (1992). Attention and brain function. Hillsdale, N.J: L. Erlbaum. ISBN   978-0-8058-0984-8. OCLC   25832590.
  8. ↑ Alho K (February 1995). "Cerebral generators of mismatch negativity (MMN) and its magnetic counterpart (MMNm) elicited by sound changes". Ear and Hearing. 16 (1): 38–51. doi:10.1097/00003446-199502000-00004. PMID   7774768. S2CID   31698419.
  9. ↑ Näätänen R, Ilmoniemi RJ, Alho K (September 1994). "Magnetoencephalography in studies of human cognitive brain function". Trends in Neurosciences. 17 (9): 389–95. doi:10.1016/0166-2236(94)90048-5. PMID   7529443. S2CID   10224526.
  10. ↑ Näätänen R, Alho K (1995). "Mismatch negativity--a unique measure of sensory processing in audition". The International Journal of Neuroscience. 80 (1–4): 317–37. doi:10.3109/00207459508986107. PMID   7775056.
  11. ↑ Rosburg T, Trautner P, Dietl T, Korzyukov OA, Boutros NN, Schaller C, et al. (April 2005). "Subdural recordings of the mismatch negativity (MMN) in patients with focal epilepsy". Brain. 128 (Pt 4): 819–28. doi:10.1093/brain/awh442. PMID   15728656.
  12. ↑ Phillips HN, Blenkmann A, Hughes LE, Kochen S, Bekinschtein TA, Rowe JB (September 2016). "Convergent evidence for hierarchical prediction networks from human electrocorticography and magnetoencephalography". Cortex; A Journal Devoted to the Study of the Nervous System and Behavior. 82: 192–205. doi:10.1016/j.cortex.2016.05.001. PMC   4981429 . PMID   27389803.
  13. ↑ Blenkmann AO, Collavini S, Lubell J, Llorens A, Funderud I, Ivanovic J, et al. (December 2019). "Auditory deviance detection in the human insula: An intracranial EEG study". Cortex; A Journal Devoted to the Study of the Nervous System and Behavior. 121: 189–200. doi:10.1016/j.cortex.2019.09.002. hdl: 10852/75077 . PMID   31629197. S2CID   202749677.
  14. ↑ Campbell T, Winkler I, Kujala T (July 2007). "N1 and the mismatch negativity are spatiotemporally distinct ERP components: disruption of immediate memory by auditory distraction can be related to N1". Psychophysiology. 44 (4): 530–40. doi:10.1111/j.1469-8986.2007.00529.x. hdl: 10138/136216 . PMID   17532805.
  15. ↑ Phillips C, Pellathy T, Marantz A, Yellin E, Wexler K, Poeppel D, et al. (November 2000). "Auditory cortex accesses phonological categories: an MEG mismatch study". Journal of Cognitive Neuroscience. 12 (6): 1038–55. CiteSeerX   10.1.1.201.5797 . doi:10.1162/08989290051137567. PMID   11177423. S2CID   8686819.
  16. ↑ Schmidt LA, Segalowitz SJ (2008). Developmental psychophysiology: theory, systems, and methods. Cambridge: Cambridge University Press. ISBN   978-0-511-49979-1. OCLC   190792301.
  17. ↑ Draganova R, Eswaran H, Murphy P, Huotilainen M, Lowery C, Preissl H (November 2005). "Sound frequency change detection in fetuses and newborns, a magnetoencephalographic study". NeuroImage. 28 (2): 354–61. doi:10.1016/j.neuroimage.2005.06.011. PMID   16023867. S2CID   19794076.
  18. ↑ Pulvermüller F, Shtyrov Y (2007). "The mismatch negativity as an objective tool for studying higher language functions". In Meyer AS, Wheeldon LR, Krott A (eds.). Automaticity and Control in Language Processing. Advances in Behavioural Brain Science. pp. 217–242. doi:10.4324/9780203968512. ISBN   978-0-203-96851-2.
    Specific experimental studies include the following:
  19. ↑ Pulvermüller F, Shtyrov Y, Hasting AS, Carlyon RP (March 2008). "Syntax as a reflex: neurophysiological evidence for early automaticity of grammatical processing". Brain and Language. 104 (3): 244–53. doi:10.1016/j.bandl.2007.05.002. PMID   17624417. S2CID   13870754.
  20. ↑ Tiitinen H, May P, Reinikainen K, Näätänen R (November 1994). "Attentive novelty detection in humans is governed by pre-attentive sensory memory". Nature. 372 (6501): 90–2. Bibcode:1994Natur.372...90T. doi:10.1038/372090a0. PMID   7969425. S2CID   4255887.
  21. ↑ Woldorff MG, Hackley SA, Hillyard SA (January 1991). "The effects of channel-selective attention on the mismatch negativity wave elicited by deviant tones". Psychophysiology. 28 (1): 30–42. doi:10.1111/j.1469-8986.1991.tb03384.x. PMID   1886962.
  22. ↑ Woldorff MG, Hillyard SA, Gallen CC, Hampson SR, Bloom FE (May 1998). "Magnetoencephalographic recordings demonstrate attentional modulation of mismatch-related neural activity in human auditory cortex". Psychophysiology. 35 (3): 283–92. doi:10.1017/s0048577298961601. PMID   9564748.
  23. ↑ Oades RD, Dittmann-Balcar A (May 1995). "Mismatch negativity (MMN) is altered by directing attention" (PDF). NeuroReport. 6 (8): 1187–90. doi:10.1097/00001756-199505300-00028. PMID   7662904. S2CID   37321558.
  24. ↑ Dittmann-Balcar A, Thienel R, Schall U (December 1999). "Attention-dependent allocation of auditory processing resources as measured by mismatch negativity". NeuroReport. 10 (18): 3749–53. doi:10.1097/00001756-199912160-00005. PMID   10716203.
  25. ↑ Erlbeck H, Kübler A, Kotchoubey B, Veser S (2014). "Task instructions modulate the attentional mode affecting the auditory MMN and the semantic N400". Frontiers in Human Neuroscience. 8: 654. doi: 10.3389/fnhum.2014.00654 . PMC   4145469 . PMID   25221494.
  26. ↑ Kujala T, Myllyviita K, Tervaniemi M, Alho K, Kallio J, Näätänen R (March 2000). "Basic auditory dysfunction in dyslexia as demonstrated by brain activity measurements". Psychophysiology. 37 (2): 262–6. doi:10.1111/1469-8986.3720262. PMID   10731777.
  27. ↑ Bodatsch M, Ruhrmann S, Wagner M, Müller R, Schultze-Lutter F, Frommann I, et al. (May 2011). "Prediction of psychosis by mismatch negativity". Biological Psychiatry. 69 (10): 959–66. doi:10.1016/j.biopsych.2010.09.057. PMID   21167475. S2CID   26287894.
  28. ↑ Hochberger, William C.; Joshi, Yash B.; Thomas, Michael L.; Zhang, Wendy; Bismark, Andrew W.; Treichler, Emily B. H.; Tarasenko, Melissa; Nungaray, John; Sprock, Joyce; Cardoso, Lauren; Swerdlow, Neal (February 2019). "Neurophysiologic measures of target engagement predict response to auditory-based cognitive training in treatment refractory schizophrenia". Neuropsychopharmacology. 44 (3): 606–612. doi:10.1038/s41386-018-0256-9. ISSN   1740-634X. PMC   6333927 . PMID   30377381.
  29. ↑ Näätänen R, Paavilainen P, Rinne T, Alho K (December 2007). "The mismatch negativity (MMN) in basic research of central auditory processing: a review". Clinical Neurophysiology. 118 (12): 2544–90. doi:10.1016/j.clinph.2007.04.026. PMID   17931964. S2CID   16167197.
  30. ↑ Näätänen R, Winkler I (November 1999). "The concept of auditory stimulus representation in cognitive neuroscience". Psychological Bulletin. 125 (6): 826–59. doi:10.1037/0033-2909.125.6.826. PMID   10589304.
  31. ↑ Jääskeläinen IP, Ahveninen J, Bonmassar G, Dale AM, Ilmoniemi RJ, Levänen S, et al. (April 2004). "Human posterior auditory cortex gates novel sounds to consciousness". Proceedings of the National Academy of Sciences of the United States of America. 101 (17): 6809–14. Bibcode:2004PNAS..101.6809J. doi: 10.1073/pnas.0303760101 . PMC   404127 . PMID   15096618.
  32. ↑ Ulanovsky N (February 2004). Neuronal Adaptation in Cat Auditory Cortex (PDF) (Ph.D. thesis). Hebrew University. Archived from the original (PDF) on 11 June 2016.
  33. ↑ Jääskeläinen IP, Ahveninen J, Belliveau JW, Raij T, Sams M (December 2007). "Short-term plasticity in auditory cognition". Trends in Neurosciences. 30 (12): 653–61. doi:10.1016/j.tins.2007.09.003. PMID   17981345. S2CID   7660360.
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