A Minimum Temporal Window for Direction Detection of Frequency-Modulated Sweeps: A Magnetoencephalography Study

Kung, Shu-Jen; Wu, Dazhong; Hsu, Chih Yang; Hsieh, I‐Hui

doi:10.3389/fpsyg.2020.00389

Cited by 3 publications

(6 citation statements)

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“…The frequency bandwidth of all frequency sweep stimuli was fixed at half an octave to approximate the bandwidth of formant transitions . The extent and rate of these sweeps were in the general range of those observed for formant transitions and frequency glides in speech (Kewley-Port, 1982) as well as within the range used in most psychophysical and neuroimaging studies of directional FM sweeps (Poeppel et al, 2004;Brechmann and Scheich, 2005;Hsieh and Saberi, 2010;Kung et al, 2020). The FM complex was bounded by fixed-frequency tones, designed specifically to maintain a constant bandwidth and band position throughout the stimulus duration regardless of sweep direction (Hsieh et al, 2012).…”

Section: Stimulimentioning

confidence: 85%

“…Behavioral studies have also indicated Mandarin Chinese speakers have better detection ability at downward FM sweeps and downward pitch contours in non-speech sounds (Bent et al, 2006 ; Luo et al, 2007 ; Giuliano et al, 2011 ). ERP studies using passive listening paradigm have also demonstrated larger MMN response when processing downward frequency sweeps compared to upward sweeps (Kung et al, 2020 ). The down preference pattern in FM-direction sensitivity has also been demonstrated in animal studies showing a higher percentage of down-preference neurons in inferior colliculus of pallid bats (Williams and Fuzessery, 2010 ) and similarly in cat's primary auditory cortex (Mendelson and Cynader, 1985 ), reflecting how the cortical system evolved to tune to species-typical communication (e.g., downward sweeps present in echolocation pulse) critical for survival.…”

Section: Discussionmentioning

confidence: 99%

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The Interaction Between Timescale and Pitch Contour at Pre-attentive Processing of Frequency-Modulated Sweeps

Hsieh

Yeh

2021

Front. Psychol.

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Speech comprehension across languages depends on encoding the pitch variations in frequency-modulated (FM) sweeps at different timescales and frequency ranges. While timescale and spectral contour of FM sweeps play important roles in differentiating acoustic speech units, relatively little work has been done to understand the interaction between the two acoustic dimensions at early cortical processing. An auditory oddball paradigm was employed to examine the interaction of timescale and pitch contour at pre-attentive processing of FM sweeps. Event-related potentials to frequency sweeps that vary in linguistically relevant pitch contour (fundamental frequency F0 vs. first formant frequency F1) and timescale (local vs. global) in Mandarin Chinese were recorded. Mismatch negativities (MMNs) were elicited by all types of sweep deviants. For local timescale, FM sweeps with F0 contours yielded larger MMN amplitudes than F1 contours. A reversed MMN amplitude pattern was obtained with respect to F0/F1 contours for global timescale stimuli. An interhemispheric asymmetry of MMN topography was observed corresponding to local and global-timescale contours. Falling but not rising frequency difference waveforms sweep contours elicited right hemispheric dominance. Results showed that timescale and pitch contour interacts with each other in pre-attentive auditory processing of FM sweeps. Findings suggest that FM sweeps, a type of non-speech signal, is processed at an early stage with reference to its linguistic function. That the dynamic interaction between timescale and spectral pattern is processed during early cortical processing of non-speech frequency sweep signal may be critical to facilitate speech encoding at a later stage.

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Section: Stimulimentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

The Interaction Between Timescale and Pitch Contour at Pre-attentive Processing of Frequency-Modulated Sweeps

Hsieh

Yeh

2021

Front. Psychol.

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“…Previous studies investigating prediction error encoding of FM-sweeps reported mixed results. Three studies reported a significant MMN to deviating FM-sweeps [56][57][58], but did not localize the source of the response. One study investigated sources in the AC, but found no significant result [53].…”

Section: Discussionmentioning

confidence: 99%

“…Research on prediction error encoding of FM-sweeps in human cerebral cortex yielded mixed results: Some reported enhanced neural responses to repeated FM-stimuli, concluding that predictive encoding of FM differs from pure tones [52][53][54][55]. Others reported an MMN to deviating FM-stimuli, suggesting that FM is also encoded as prediction error [56][57][58]. However, E/MEG studies lack the spatial resolution to precisely locate neural populations generating these responses.…”

Section: Introductionmentioning

confidence: 99%

Frequency and frequency modulation share the same predictive encoding mechanisms in human auditory cortex

Stein¹,

Kriegstein²,

Tabas³

2021

Preprint

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Expectations can substantially influence perception. Predictive coding is a theory of sensory processing that aims to explain the neural mechanisms underlying the effect of expectations in sensory processing. Its main assumption is that sensory neurons encode prediction error with respect to expected sensory input. Neural populations encoding prediction error have been previously reported in the human auditory cortex (AC); however, most studies focused on the encoding of pure tones and induced expectations by stimulus repetition, potentially confounding prediction error with effects of neural habituation. Here, we systematically studied prediction error to pure tones and fast frequency modulated (FM) sweeps across different auditory cortical fields in humans. We conducted two fMRI experiments, each using one type of stimulus. We measured BOLD responses across the bilateral auditory cortical fields Te1.0, Te1.1, Te1.2, and Te3 while participants listened to sequences of sounds.We induced subjective expectations on the incoming sounds independently of stimulus repetition using abstract rules. Our results indicate that pure tones and FM-sweeps are encoded as prediction error with respect to the participants' expectations across auditory cortical fields. The topographical distribution of neural populations encoding prediction error to pure tones and FM-sweeps was highly correlated in left Te1.1 and Te1.2, and in bilateral Te3, suggesting that predictive coding is the general encoding mechanism in AC.

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“…Previous studies considered prediction error to FM in the human cerebral cortex and yielded mixed results: Some reported an MMN to deviating FM-stimuli, suggesting that FM is also encoded as prediction error ( Cornella et al. 2013 ; Hsieh and Yeh 2021 ; Kung et al. 2020 ); others reported enhanced neural responses to repeated FM-stimuli, concluding that different predictive coding strategies underlie the encoding of pure tones and FM ( Altmann et al.…”

Section: Introductionmentioning

confidence: 99%

Predictive encoding of pure tones and FM-sweeps in the human auditory cortex

Stein

Kriegstein

Tabas

2022

Cerebral Cortex Communications

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Expectations substantially influence perception, but the neural mechanisms underlying this influence are not fully understood. A prominent view is that sensory neurons encode prediction error with respect to expectations on upcoming sensory input. Although the encoding of prediction error has been previously demonstrated in the human auditory cortex (AC), previous studies often induced expectations using stimulus repetition, potentially confounding prediction error with neural habituation. These studies also measured AC as a single population, failing to consider possible predictive specializations of different AC fields. Moreover, the few studies that considered prediction error to stimuli other than pure tones yielded conflicting results. Here, we used fMRI to systematically investigate prediction error to subjective expectations in auditory cortical fields Te1.0, Te1.1, Te1.2, and Te3, and two types of stimuli: pure tones and frequency modulated (FM) sweeps. Our results show that prediction error is elicited with respect to the participants’ expectations independently of stimulus repetition, and similarly expressed across auditory fields. Moreover, despite the radically different strategies underlying the decoding of pure tones and FM-sweeps, both stimulus modalities were encoded as prediction error in most fields of AC. Together, our results provide unequivocal evidence that predictive coding is the general encoding mechanism in AC.

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A Minimum Temporal Window for Direction Detection of Frequency-Modulated Sweeps: A Magnetoencephalography Study

Cited by 3 publications

References 85 publications

The Interaction Between Timescale and Pitch Contour at Pre-attentive Processing of Frequency-Modulated Sweeps

The Interaction Between Timescale and Pitch Contour at Pre-attentive Processing of Frequency-Modulated Sweeps

Frequency and frequency modulation share the same predictive encoding mechanisms in human auditory cortex

Predictive encoding of pure tones and FM-sweeps in the human auditory cortex

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