An Overview of Stimulus-Specific Adaptation in the Auditory Thalamus

Antunes, Flora M.; Malmierca, Manuel S.

doi:10.1007/s10548-013-0342-6

Cited by 45 publications

(35 citation statements)

References 197 publications

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“…These studies have demonstrated that SSA also occurs subcortically (Figure 1A), i.e., in the IC and medial geniculate body (MGB). Moreover, many aspects of SSA seen in the IC (Ayala and Malmierca, 2013; Pérez-González and Malmierca, 2014) and in the MGB (Antunes et al, 2010; Antunes and Malmierca, 2013) are very similar (Figures 1B,C) to that described in the AC (Ulanovsky et al, 2003, 2004; von der Behrens et al, 2009; Taaseh et al, 2011). However, a major difference between the cortical and subcortical SSA is that SSA in the IC and MGB is stronger in the non-lemniscal divisions, while the first lemniscal nucleus where SSA is strong and widespread is the primary AC (Ulanovsky et al, 2003; Nelken and Ulanovsky, 2007).…”

Section: Stimulus-specific Adaptation Appears Subcorticallysupporting

confidence: 63%

“…However, there is now a substantial body of evidence challenging this idea (Pérez-González et al, 2005, 2012; Anderson et al, 2009; Malmierca et al, 2009; Yu et al, 2009; Antunes et al, 2010; Antunes and Malmierca, 2011, 2013; Bäuerle et al, 2011; Zhao et al, 2011; Duque et al, 2012, 2014; Patel et al, 2012; Ayala et al, 2013; Ayala and Malmierca, 2013; Pérez-González and Malmierca, 2014). These studies have demonstrated that SSA also occurs subcortically (Figure 1A), i.e., in the IC and medial geniculate body (MGB).…”

Section: Stimulus-specific Adaptation Appears Subcorticallymentioning

confidence: 99%

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Neuronal adaptation, novelty detection and regularity encoding in audition

Malmierca¹,

Sanchez-Vives

Escera³

et al. 2014

Front. Syst. Neurosci.

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The ability to detect unexpected stimuli in the acoustic environment and determine their behavioral relevance to plan an appropriate reaction is critical for survival. This perspective article brings together several viewpoints and discusses current advances in understanding the mechanisms the auditory system implements to extract relevant information from incoming inputs and to identify unexpected events. This extraordinary sensitivity relies on the capacity to codify acoustic regularities, and is based on encoding properties that are present as early as the auditory midbrain. We review state-of-the-art studies on the processing of stimulus changes using non-invasive methods to record the summed electrical potentials in humans, and those that examine single-neuron responses in animal models. Human data will be based on mismatch negativity (MMN) and enhanced middle latency responses (MLR). Animal data will be based on the activity of single neurons at the cortical and subcortical levels, relating selective responses to novel stimuli to the MMN and to stimulus-specific neural adaptation (SSA). Theoretical models of the neural mechanisms that could create SSA and novelty responses will also be discussed.

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Section: Stimulus-specific Adaptation Appears Subcorticallysupporting

confidence: 63%

Section: Stimulus-specific Adaptation Appears Subcorticallymentioning

confidence: 99%

Neuronal adaptation, novelty detection and regularity encoding in audition

Malmierca¹,

Sanchez-Vives

Escera³

et al. 2014

Front. Syst. Neurosci.

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“…Although we have not seen literature evidence for such early deviance in preclinical ERP recordings, stimulus-specific adaptation, a putative mechanism for deviance detection, has been reported as early as 20 ms from stimulus onset in both the inferior colliculus and the dorsal portion of the medial geniculate, structures that mediate the non-lemniscal processing of auditory signals (72, 73). Thus, the observed early changes in vertex recordings may reflect activity from these subcortical structures.…”

Section: Discussionmentioning

confidence: 80%

NR2B Antagonist CP-101,606 Abolishes Pitch-Mediated Deviance Detection in Awake Rats

et al. 2014

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Schizophrenia patients exhibit a decreased ability to detect change in their auditory environment as measured by auditory event-related potentials (ERP) such as mismatch negativity. This deficit has been linked to abnormal NMDA neurotransmission since, among other observations, non-selective channel blockers of NMDA reliably diminish automatic deviance detection in human subjects as well as in animal models. Recent molecular and functional evidence links NR2B receptor subtype to aberrant NMDA transmission in schizophrenia. However, it is unknown if NR2B receptors participate in pre-attentive deviance detection. We recorded ERP from the vertex of freely behaving rats in response to frequency mismatch protocols. We saw a robust increase in N1 response to deviants compared to standard as well as control stimuli indicating true deviance detection. Moreover, the increased negativity was highly sensitive to deviant probability. Next, we tested the effect of a non-selective NMDA channel blocker (ketamine, 30 mg/kg) and a highly selective NR2B antagonist, CP-101,606 (10 or 30 mg/kg) on deviance detection. Ketamine attenuated deviance mainly by increasing the amplitude of the standard ERP. Amplitude and/or latency of several ERP components were also markedly affected. In contrast, CP-101,606 robustly and dose-dependently inhibited the deviant’s N1 amplitude, and as a consequence, completely abolished deviance detection. No other ERPs or components were affected. Thus, we report first evidence that NR2B receptors robustly participate in processes of automatic deviance detection in a rodent model. Lastly, our model demonstrates a path forward to test specific pharmacological hypotheses using translational endpoints relevant to aberrant sensory processing in schizophrenia.

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“…There is an ongoing debate whether SSA simply reflects the specific depression of the response to a standard stimulus, or whether additional factors should be considered to better characterize SSA (Antunes and Malmierca, 2014;Nelken, 2014). Recent findings suggest that SSA is modulated via GABA A -mediated inhibition in both the midbrain (Perez-Gonzalez et al, 2012) and thalamus (Duque et al, 2014).…”

Section: Stimulus-specific Adaptationmentioning

confidence: 99%