Theta oscillation during auditory change detection: An MEG study

Hsiao, Fu Jung; Wu, Zin-An; Ho, Low Tone; Lin, Yung Yang

doi:10.1016/j.biopsycho.2009.01.007

Cited by 102 publications

(120 citation statements)

References 62 publications

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“…In addition, both groups showed the strongest connectivity in the beta band, and theta band connectivity was more pronounced in response to deviants as compared with standards. The observation of increased theta band connectivity in response to deviants as compared with standards, irrespective of group affiliation, is in line with a previous work of Hsiao, Wu, Ho, and Lin (2009), who evaluated the phase (phase-locking values) and power characteristics of brain oscillations during passive auditory deviance detection (i.e., sine tones differing in duration in the context of an oddball paradigm) by means of wavelet analyses. As a main result, the authors reported increased theta and alpha power as well as increased theta phase-locking in bilateral temporal regions in response to both standard and deviant tones.…”

Section: Group Differences In Interhemispheric Connectivity Between Hsupporting

confidence: 63%

Auditory Evoked Responses in Musicians during Passive Vowel Listening Are Modulated by Functional Connectivity between Bilateral Auditory-related Brain Regions

Kühnis

Elmer

Jäncke

2014

Journal of Cognitive Neuroscience

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Currently, there is striking evidence showing that professional musical training can substantially alter the response properties of auditory-related cortical fields. Such plastic changes have previously been shown not only to abet the processing of musical sounds, but likewise spectral and temporal aspects of speech. Therefore, here we used the EEG technique and measured a sample of musicians and nonmusicians while the participants were passively exposed to artificial vowels in the context of an oddball paradigm. Thereby, we evaluated whether increased intracerebral functional connectivity between bilateral auditoryrelated brain regions may promote sensory specialization in musicians, as reflected by altered cortical N1 and P2 responses. This assumption builds on the reasoning that sensory specialization is dependent, at least in part, on the amount of synchronization between the two auditory-related cortices. Results clearly revealed that auditory-evoked N1 responses were shaped by musical expertise. In addition, in line with our reasoning musicians showed an overall increased intracerebral functional connectivity (as indexed by lagged phase synchronization) in theta, alpha, and beta bands. Finally, within-group correlative analyses indicated a relationship between intracerebral beta band connectivity and cortical N1 responses, however only within the musicians' group. Taken together, we provide first electrophysiological evidence for a relationship between musical expertise, auditory-evoked brain responses, and intracerebral functional connectivity among auditory-related brain regions. Therefore, here we used the EEG technique and measured a sample of musicians and nonmusicians while the participants were passively exposed to artificial vowels in the context of an oddball paradigm. Thereby, we evaluated whether increased intracerebral functional connectivity between bilateral auditoryrelated brain regions may promote sensory specialization in musicians, as reflected by altered cortical N1 and P2 responses. This assumption builds on the reasoning that sensory specialization is dependent, at least in part, on the amount of synchronization between the two auditory-related cortices. Results clearly revealed that auditory-evoked N1 responses were shaped by musical expertise. In addition, in line with our reasoning musicians showed an overall increased intracerebral functional connectivity (as indexed by lagged phase synchronization) in theta, alpha, and beta bands. Finally, within-group correlative analyses indicated a relationship between intracerebral beta band connectivity and cortical N1 responses, however only within the musiciansʼ group. Taken together, we provide first electrophysiological evidence for a relationship between musical expertise, auditory-evoked brain responses, and intracerebral functional connectivity among auditory-related brain regions. ■

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Section: Group Differences In Interhemispheric Connectivity Between Hsupporting

confidence: 63%

Auditory Evoked Responses in Musicians during Passive Vowel Listening Are Modulated by Functional Connectivity between Bilateral Auditory-related Brain Regions

Kühnis

Elmer

Jäncke

2014

Journal of Cognitive Neuroscience

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“…Based on the previous studies depicting neural oscillatory dynamics of auditory change detection (Chen et al 2012;Fuentemilla et al 2008;Hsiao et al 2009), and the results of permutation test implemented in the statcond function of EEGLAB toolbox, ERSPs in the range of 4-8 Hz during 100-600 ms (theta), and 18-26 Hz during 400-750 ms (beta) were averaged for further statistical analysis. To depict the topographic distribution difference, nine scalp regions of interest were defined 1 (for regional averaging, see Dien and Santuzzi 2004).…”

Section: Eeg Recording and Analysismentioning

confidence: 99%

“…For instance, it has been documented that auditory change detection is associated with theta band power increase (Fuentemilla et al 2008;Hsiao et al 2009). Moreover, Cacace and McFarland (2003) reported that deviant auditory stimulation in oddball paradigm induced theta ERS and beta ERD.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the neural oscillatory profiles associated with auditory change detection (Cacace and McFarland 2003;Chen et al 2012;Fuentemilla et al 2008;Hsiao et al 2009;Kim and Chung 2008) and deviant stimuli reintegration (Davidson and Indefrey 2007;Luo et al 2010), we hypothesized that vocal emotion change would induce theta ERS and beta ERD. Moreover, based on the findings that task focus modulated the late stage of deviation integration but not early stage of detection in vocal emotion perception (Chen et al 2011;Schirmer and Kotz 2006), and the fact that beta ERD was modulated by attention direction in auditory change detection (Cacace and McFarland 2003), we hypothesized that task focus would mediate late beta ERD but not early theta ERS.…”

Section: Introductionmentioning

confidence: 99%

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EEG oscillations reflect task effects for the change detection in vocal emotion

et al. 2014

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How task focus affects recognition of change in vocal emotion remains in debate. In this study, we investigated the role of task focus for change detection in emotional prosody by measuring changes in event-related electroencephalogram (EEG) power. EEG was recorded for prosodies with and without emotion change while subjects performed emotion change detection task (explicit) and visual probe detection task (implicit). We found that vocal emotion change induced theta event-related synchronization during 100-600 ms regardless of task focus. More importantly, vocal emotion change induced significant beta event-related desynchronization during 400-750 ms under explicit instead of implicit task condition. These findings suggest that the detection of emotional changes is independent of task focus, while the task focus effect in neural processing of vocal emotion change is specific to the integration of emotional deviations.

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“…In the auditory system, thalamocortical activity maps primarily within the alpha frequency range 31,32 , whereas corticocortical connectivity among neurons with similar stimulus sensitivity is reflected in theta frequency interactions 33 . We 34 and others 35,36 have previously linked MMN dysfunction in schizophrenia primarily to impaired theta frequency response.…”

Section: Introductionmentioning

confidence: 99%