Prefrontal cortex involvement in preattentive auditory deviance detection:

Doeller, Christian F.; Opitz, Bertram; Mecklinger, Axel; Krick, Christoph; Reith, Wolfgang; Schröger, Erich

doi:10.1016/s1053-8119(03)00389-6

Cited by 324 publications

(304 citation statements)

References 62 publications

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“…The right MFG activation for the frequency change in speech sounds may imply the involvement of attention-and execution-related neural resources as well. However, because of relatively poor time resolution of the fMRI methodology, the temporal order of activations in the frontal and auditory areas remained open (Opitz et al, 2002;Doeller et al, 2003). Yet, the present finding is in line with the hierarchical arrangement observed between sensory and attentional (frontal) neural systems (Näätänen, 1992;Romanski et al, 1999), with evidence for both bottom-up (Rinne et al, 2000) and top-down projections (Giard et al, 1990;Yago et al, 2001).…”

Section: Duration Versus Frequency Deviance In Speech Versus Music Sosupporting

confidence: 84%

“…They consistently revealed right STG activation (Opitz et al, 2002;Doeller et al, 2003;Liebenthal et al, 2003;Schall et al, 2003;Sabri et al, 2004;Molholm et al, 2005) and less frequently activation in the left temporal lobe with more variation in the loci of activated sources (Opitz et al, 2002;Liebenthal et al, 2003;Molholm et al, 2005). Frontal sources were also activated when using attentioncatching sound changes (Opitz et al, 2002;Doeller et al, 2003;Schall et al, 2003;Molholm et al, 2005).…”

Section: Discussionmentioning

confidence: 94%

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From Air Oscillations to Music and Speech: Functional Magnetic Resonance Imaging Evidence for Fine-Tuned Neural Networks in Audition

Tervaniemi¹,

Szameitat²,

Kruck³

et al. 2006

J. Neurosci.

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In the auditory modality, music and speech have high informational and emotional value for human beings. However, the degree of the functional specialization of the cortical and subcortical areas in encoding music and speech sounds is not yet known. We investigated the functional specialization of the human auditory system in processing music and speech by functional magnetic resonance imaging recordings. During recordings, the subjects were presented with saxophone sounds and pseudowords /ba:ba/ with comparable acoustical content. Our data show that areas encoding music and speech sounds differ in the temporal and frontal lobes. Moreover, slight variations in sound pitch and duration activated thalamic structures differentially. However, this was the case with speech sounds only while no such effect was evidenced with music sounds. Thus, our data reveal the existence of a functional specialization of the human brain in accurately representing sound information at both cortical and subcortical areas. They indicate that not only the sound category (speech/music) but also the sound parameter (pitch/duration) can be selectively encoded.

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Section: Duration Versus Frequency Deviance In Speech Versus Music Sosupporting

confidence: 84%

Section: Discussionmentioning

confidence: 94%

From Air Oscillations to Music and Speech: Functional Magnetic Resonance Imaging Evidence for Fine-Tuned Neural Networks in Audition

Tervaniemi¹,

Szameitat²,

Kruck³

et al. 2006

J. Neurosci.

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show abstract

“…It is less clear how the proposed role of the ventral attention network in stimulus‐driven (bottom‐up) attention can be reconciled with the auditory function observed ventrally here. Temporoparietal and inferior/middle prefrontal cortices have been implicated in auditory “change‐detection” [Doeller et al, 2003; Tse et al, 2006], and auditory effects have been observed in the ventral attention network [Mayer et al, 2006; Watkins et al, 2007]. It has been hypothesized that the activation of the ventral attention network represents a “reorienting response” [Corbetta et al, 2002], which mediates the reorienting of the senses to the changed stimulus via transient activity in ventral regions.…”

Section: Discussionmentioning

confidence: 99%

Auditory and visual connectivity gradients in frontoparietal cortex

Braga

Hellyer

Wise

et al. 2016

Human Brain Mapping

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A frontoparietal network of brain regions is often implicated in both auditory and visual information processing. Although it is possible that the same set of multimodal regions subserves both modalities, there is increasing evidence that there is a differentiation of sensory function within frontoparietal cortex. Magnetic resonance imaging (MRI) in humans was used to investigate whether different frontoparietal regions showed intrinsic biases in connectivity with visual or auditory modalities. Structural connectivity was assessed with diffusion tractography and functional connectivity was tested using functional MRI. A dorsal–ventral gradient of function was observed, where connectivity with visual cortex dominates dorsal frontal and parietal connections, while connectivity with auditory cortex dominates ventral frontal and parietal regions. A gradient was also observed along the posterior–anterior axis, although in opposite directions in prefrontal and parietal cortices. The results suggest that the location of neural activity within frontoparietal cortex may be influenced by these intrinsic biases toward visual and auditory processing. Thus, the location of activity in frontoparietal cortex may be influenced as much by stimulus modality as the cognitive demands of a task. It was concluded that stimulus modality was spatially encoded throughout frontal and parietal cortices, and was speculated that such an arrangement allows for top–down modulation of modality‐specific information to occur within higher‐order cortex. This could provide a potentially faster and more efficient pathway by which top–down selection between sensory modalities could occur, by constraining modulations to within frontal and parietal regions, rather than long‐range connections to sensory cortices. Hum Brain Mapp 38:255–270, 2017. © 2016 Wiley Periodicals, Inc.

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“…According to classical theories (Näätänen, 1992), the MMN potential originates from a network comprising the superior temporal gyrus (STG) and the inferior frontal gyrus (IFG) (Garrido et al, 2008;Opitz et al, 2002;Rinne et al, 2000), which detects a disruption within a regularity of preceding standards based on a comparison of the actual sensory input with the already established memory trace (Doeller et al, 2003;Giard et al, 1990). In this study, we have performed an analysis in sensor space; since EEG sensor signals result from a mixture of neuronal sources, one should be cautious about relating our findings to neural sources in specific locations.…”

Section: Discussionmentioning

confidence: 99%

Mismatch Negativity Encoding of Prediction Errors Predicts S-ketamine-Induced Cognitive Impairments

Schmidt

Bachmann

Kometer

et al. 2011

Neuropsychopharmacol

101

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Psychotomimetics like the N-methyl-D-aspartate receptor (NMDAR) antagonist ketamine and the 5-hydroxytryptamine2A receptor (5-HT 2A R) agonist psilocybin induce psychotic symptoms in healthy volunteers that resemble those of schizophrenia. Recent theories of psychosis posit that aberrant encoding of prediction errors (PE) may underlie the expression of psychotic symptoms. This study used a roving mismatch negativity (MMN) paradigm to investigate whether the encoding of PE is affected by pharmacological manipulation of NMDAR or 5-HT 2A R, and whether the encoding of PE under placebo can be used to predict drug-induced symptoms. Using a doubleblind within-subject placebo-controlled design, S-ketamine and psilocybin, respectively, were administrated to two groups of healthy subjects. Psychological alterations were assessed using a revised version of the Altered States of Consciousness (ASC-R) questionnaire. As an index of PE, we computed changes in MMN amplitudes as a function of the number of preceding standards (MMN memory trace effect) during a roving paradigm. S-ketamine, but not psilocybin, disrupted PE processing as expressed by a frontally disrupted MMN memory trace effect. Although both drugs produced positive-like symptoms, the extent of PE processing under placebo only correlated significantly with the severity of cognitive impairments induced by S-ketamine. Our results suggest that the NMDAR, but not the 5-HT 2A R system, is implicated in PE processing during the MMN paradigm, and that aberrant PE signaling may contribute to the formation of cognitive impairments. The assessment of the MMN memory trace in schizophrenia may allow detecting early phases of the illness and might also serve to assess the efficacy of novel pharmacological treatments, in particular of cognitive impairments.

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Prefrontal cortex involvement in preattentive auditory deviance detection:

Cited by 324 publications

References 62 publications

From Air Oscillations to Music and Speech: Functional Magnetic Resonance Imaging Evidence for Fine-Tuned Neural Networks in Audition

From Air Oscillations to Music and Speech: Functional Magnetic Resonance Imaging Evidence for Fine-Tuned Neural Networks in Audition

Auditory and visual connectivity gradients in frontoparietal cortex

Mismatch Negativity Encoding of Prediction Errors Predicts S-ketamine-Induced Cognitive Impairments

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