Attentional modulation of neural entrainment to sound streams in children with and without ADHD

Laffere, Aeron; Dick, Frederic; Holt, Lori L.; Tierney, Adam

doi:10.1016/j.neuroimage.2020.117396

Cited by 19 publications

(23 citation statements)

References 109 publications

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“…However, our results provide one of the first demonstrations that attention can be directed to different acoustic dimensions. Whereas previous studies of auditory selective attention have established neural correlates of auditory stream segregation (e.g., Ding et al, 2016; Elhilali et al, 2005; Kerlin et al, 2010; Laffere et al, 2020, 2021; Zion Golumbic et al, 2013), here we show reliable neural correlates of attention to acoustic dimensions within a single sound stream.…”

Section: Methodscontrasting

confidence: 78%

“…Moreover, studies using non-verbal stimuli have shown that attention strengthens neural entrainment to target relative to distractor tone sequences (Elhilali et al, 2005;Laffere et al, 2020Laffere et al, , 2021. Overall, these studies suggest that attention can modulate the extent to which the auditory system tracks variations in different sound streams.…”

Section: Introductionmentioning

confidence: 78%

“…Attention has been shown to enhance this cortical tracking for attended versus ignored speech streams (Ding et al, 2016; Kerlin et al, 2010; Reetzke et al, 2021; Zion Golumbic et al, 2013). Moreover, studies using non-verbal stimuli have shown that attention strengthens neural entrainment to target relative to distractor tone sequences (Elhilali et al, 2005; Laffere et al, 2020, 2021). Overall, these studies suggest that attention can modulate the extent to which the auditory system tracks variations in different sound streams.…”

Section: Introductionmentioning

confidence: 99%

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Dimension-Selective Attention and Dimensional Salience Modulate Cortical Tracking of Acoustic Dimensions

Symons

Dick

Tierney

2021

Preprint

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Some theories of auditory categorization suggest that auditory dimensions that are strongly diagnostic for particular categories - for instance voice onset time or fundamental frequency in the case of some spoken consonants - attract attention. However, prior cognitive neuroscience research on auditory selective attention has largely focused on attention to simple auditory objects or streams, and so little is known about the neural mechanisms that underpin dimension-selective attention, or how the relative salience of variations along these dimensions might modulate neural signatures of attention. Here we investigate whether dimensional salience and dimension-selective attention modulate cortical tracking of acoustic dimensions. In two experiments, participants listened to tone sequences varying in pitch and spectral peak frequency; these two dimensions changed at systematically different rates. Inter-trial phase coherence (ITPC) and EEG signal amplitude at the rates of pitch and spectral change allowed us to measure cortical tracking of these dimensions. In Experiment 1, tone sequences varied in the size of the pitch intervals, while the size of spectral peak intervals remained constant. Neural entrainment to pitch changes was greater for sequences with larger compared to smaller pitch intervals, with no difference in entrainment to the spectral dimension. In Experiment 2, participants selectively attended to either the pitch or spectral dimension. Neural entrainment was stronger in response to the attended compared to unattended dimension for both pitch and spectral dimensions. These findings demonstrate that bottom-up and top-down attentional mechanisms enhance the cortical tracking of different acoustic dimensions within a single sound stream.

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Section: Methodscontrasting

confidence: 78%

Section: Introductionmentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

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Dimension-Selective Attention and Dimensional Salience Modulate Cortical Tracking of Acoustic Dimensions

Symons

Dick

Tierney

2021

Preprint

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“…For example, Lakatos et al (2013) and Lakatos et al (2016) showed that when rhesus macaques attend to one of two tone streams presented at different rates, phase-locking at the attended rate increases. Similarly, when human participants attend to one of two temporally interdigitated tone streams, there is a roughly 180-degree shift in the phase of the neural response at the tone stream presentation rate ( Laffere et al, 2020a , b ). Studies of selective attention to speech have also shown that low-frequency neural activity more closely mirrors the slow amplitude modulation patterns of the attended stimulus stream, compared to the ignored stream ( Kerlin et al, 2010 ; Ding and Simon, 2013 ; Zion Golumbic et al, 2013 ; O’Sullivan et al, 2015 ; Ghinst et al, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Slow phase-locked modulations support selective attention to sound

et al. 2022

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“…This process is referred to as neural entrainment, and is argued to be a basic mechanism that shapes sensory perception. Neural entrainment is crucial for structuring incoming information streams for further processing, including, attention selection, learning, and motor execution [14][15][16][17][18]. Speech perception, and music appreciation in particular, rely on neural entrainment to extract relevant features from the continuous acoustic signals [14,19].…”

Section: Introductionmentioning

confidence: 99%

Modelling neural entrainment and its persistence: influence of frequency of stimulation and phase at the stimulus offset

Otero

Lea‐Carnall

Prado

et al. 2021

Preprint

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The entrainment (synchronization) of brain oscillations to the frequency of sensory stimuli is a key mechanism that shapes perceptual and cognitive processes, such that atypical neural entrainment leads to neuro-psychological deficits. We investigated the dynamic of neural entrainment. Particular attention was paid to the oscillatory behavior that succeed the end of the stimulation, since the persistence (reverberation) of neural entrainment may condition future sensory representations based on predictions about stimulus rhythmicity. A modified Jansen-Rit neural mass model of coupled cortical columns generated a time series whose frequency spectrum resembled that of the electroencephalogram. We evaluated spectro-temporal features of entrainment, during and after rhythmic stimulation of different frequencies, as a function of the resonance frequency of the neural population and the coupling strength between cortical columns. We tested if the duration of the entrainment persistence depended on the state of the neural network at the time the stimulus ends. The entrainment of the column that received the stimulation was maximum when the frequency of the entrainer was within a narrow range around the resonance frequency of the column. When this occurred, entrainment persisted forseveral cycles after the stimulus terminated, and the propagation of the entrainment to other columns was facilitated. Propagation depended on the resonance frequency of the second column, and the coupling strength between columns. The duration of the persistence of the entrainment depended on the phase of the neural oscillation at the time the entrainer terminated, such that falling phases (from π/2 to 3π/2 in a sine function) led to longer persistence than rising phases (from 0 to π/2 and 3π/2 to 2π). The study bridges between models of neural oscillations and empirical electrophysiology, and provides insights to the use of rhythmic sensory stimulation for neuroenhancement.

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Attentional modulation of neural entrainment to sound streams in children with and without ADHD

Cited by 19 publications

References 109 publications

Dimension-Selective Attention and Dimensional Salience Modulate Cortical Tracking of Acoustic Dimensions

Dimension-Selective Attention and Dimensional Salience Modulate Cortical Tracking of Acoustic Dimensions

Slow phase-locked modulations support selective attention to sound

Modelling neural entrainment and its persistence: influence of frequency of stimulation and phase at the stimulus offset

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