Effects of an NMDA-receptor antagonist MK-801 on an MMN-like response recorded in anesthetized rats

Tikhonravov, Dmitry; Neuvonen, Tuomas; Pertovaara, Antti; Savioja, Kati; Ruusuvirta, Timo; Näätänen, Risto; Carlson, Synnöve

doi:10.1016/j.brainres.2008.02.006

Cited by 112 publications

(92 citation statements)

References 32 publications

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“…Studies in mice (Ehrlichman et al, 2008), rats (Tikhonravov et al, 2008(Tikhonravov et al, , 2010, and monkeys (Javitt et al, 1996) also showed that MMN is strongly affected by NMDAr inhibitors. In our simulations, the sMMN results essentially from NMDAr-dependent currents, which is consistent with this observation.…”

Section: Layer Distribution Of Current Sourcesmentioning

confidence: 96%

A Neuronal Model of Predictive Coding Accounting for the Mismatch Negativity

Wacongne¹,

Changeux²,

Dehaene³

2012

J. Neurosci.

480

423

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The mismatch negativity (MMN) is thought to index the activation of specialized neural networks for active prediction and deviance detection. However, a detailed neuronal model of the neurobiological mechanisms underlying the MMN is still lacking, and its computational foundations remain debated. We propose here a detailed neuronal model of auditory cortex, based on predictive coding, that accounts for the critical features of MMN. The model is entirely composed of spiking excitatory and inhibitory neurons interconnected in a layered cortical architecture with distinct input, predictive, and prediction error units. A spike-timing dependent learning rule, relying upon NMDA receptor synaptic transmission, allows the network to adjust its internal predictions and use a memory of the recent past inputs to anticipate on future stimuli based on transition statistics. We demonstrate that this simple architecture can account for the major empirical properties of the MMN. These include a frequency-dependent response to rare deviants, a response to unexpected repeats in alternating sequences (ABABAA. . . ), a lack of consideration of the global sequence context, a response to sound omission, and a sensitivity of the MMN to NMDA receptor antagonists. Novel predictions are presented, and a new magnetoencephalography experiment in healthy human subjects is presented that validates our key hypothesis: the MMN results from active cortical prediction rather than passive synaptic habituation.

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Section: Layer Distribution Of Current Sourcesmentioning

confidence: 96%

A Neuronal Model of Predictive Coding Accounting for the Mismatch Negativity

Wacongne¹,

Changeux²,

Dehaene³

2012

J. Neurosci.

480

423

View full text Add to dashboard Cite

show abstract

“…The results of a meta-analysis indicate that the MMN deficits are robust in patients with chronic schizophrenia (Umbricht and Krljes, 2005). As MMN can be measured even in animals such as the rat (Astikainen et al, 2006, Tikhonravov et al, 2008 and the mouse , use of MMN should facilitate the selection of potential drugs in the preclinical phase before testing them in healthy human subjects and in schizophrenia patients.…”

Section: Dopaminementioning

confidence: 99%

How Human Electrophysiology Informs Psychopharmacology: from Bottom-up Driven Processing to Top-Down Control

Kenemans

Kähkönen

2010

Neuropsychopharmacol

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This review surveys human event-related brain potential (ERP) and event-related magnetic field (ERF) approaches to psychopharmacology and psychopathology, and the way in which they complement behavioral studies and other neuroimaging modalities. The major paradigms involving ERP/ERF are P50 suppression, loudness-dependent auditory evoked potential (LDAEP), mismatch negativity (MMN), P300, mental chronometry, inhibitory control, and conflict processing (eg, error-related negativity (ERN)). Together these paradigms cover a range of more bottom-up driven to more top-down controlled processes. A number of relationships between the major neurotransmitter systems and electrocortical mechanisms are highlighted. These include the role of dopamine in conflict processing, and perceptual processing vs motor preparation; the role of serotonin in P50 suppression, LDAEP, and MMN; glutamate/NMDA and MMN; and the role of acetylcholine in P300 generation and memory-related processes. A preliminary taxonomy for these relationships is provided, which should be helpful in attuning possible new treatments or new applications of existing treatments to various disorders.

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“…Deviant tones also elicit differential brain responses (higher-amplitude brain responses to deviant than standard tones) in awake (e.g., Javitt et al, 1994;Ruusuvirta et al, 1995Ruusuvirta et al, , 2010Pincze et al, 2001), sleeping (e.g., Csépe et al, 1987) and anesthetized (e.g., Kraus et al, 1994;Ruusuvirta et al, 1996;Ahmed et al, 2011;Astikainen et al, 2011;Nakamura et al, 2011;Tikhonravov et al, 2008) animals (for negative findings in anesthetized rats see, however, Erikson & Villa, 2005;Lazar & Metherate, 2003). Furthermore, similarly to MMN (Jacobsen and Schröger, 2001), differential brain responses in animals have been attributed to deviant tones as changes in the repetitiveness of a standard tone rather than as rare tones relative to the standard tone (e.g., Ruusuvirta et al, 1998;Nakamura et al, 2011;Taaseh et al, 2011;Jung et al, 2013;Shiramatsu et al, 2013;Harms et al, 2014;Malmierca et al, 2014).…”

Section: Introductionmentioning

confidence: 99%