Differential attention-dependent adjustment of frequency, power and phase in primary sensory and frontoparietal areas

Suess, Nina; Hartmann, Thomas; Weisz, Nathan

doi:10.1016/j.cortex.2021.01.008

Cited by 6 publications

(11 citation statements)

References 61 publications

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“…The increase in θ coherence between precuneus and left/right parieto-occipital clusters for the machine versus human conditions further supports the theory that ball machine trials demanded more cognitive resources than human trials. Evidence shows that an increase in interregional phase coherence is associated with controlling visuospatial attention ( Lobier et al, 2018 ; Suess et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Parieto-Occipital Electrocortical Dynamics during Real-World Table Tennis

Studnicki

Ferris

2023

eNeuro

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Traditional human electroencephalography experiments that study visuomotor processing use controlled laboratory conditions with limited ecological validity. In the real world, the brain integrates complex, dynamic, multimodal visuomotor cues to guide the execution of movement. The parietal and occipital cortices are especially important in the online control of goal-directed actions. Table tennis is a whole-body, responsive activity requiring rapid visuomotor integration that presents a myriad of unanswered neurocognitive questions about brain function during real world movement. The aim of this study was to quantify the electrocortical dynamics of the parieto-occipital cortices while playing a sport with high-density electroencephalography. We included analysis of power spectral densities, event-related spectral perturbations, intertrial phase coherences, event-related potentials, and event-related phase coherences of parieto-occipital source-localized clusters while participants played table tennis with a ball machine and a human. We found significant spectral power fluctuations in the parieto-occipital cortices tied to hit events. Ball machine trials exhibited more fluctuations in theta power around hit events, an increase in intertrial phase coherence and deflection in the event-related potential, and higher event-related phase coherence between parieto-occipital clusters as compared to trials with a human. Our results suggest that sport training with a machine elicits fundamentally different brain dynamics than training with a human.Significance StatementAnalyzing high-density scalp EEG from human participants playing table tennis allowed us to examine the precise timing of electrocortical changes in the parieto-occipital cortices during a whole body visuomotor task with high ecological validity. Time-frequency and connectivity analyses revealed earlier broadband desynchronization, more evidence of phase-locked activity, and an increase in coherence between brain regions in ball machine trials than in human trials. These differences likely reflect how humans interpret body and machine cues regarding the trajectory and speed of the oncoming ball, which may have important implications in sport training.

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Section: Discussionmentioning

confidence: 99%

Parieto-Occipital Electrocortical Dynamics during Real-World Table Tennis

Studnicki

Ferris

2023

eNeuro

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“…Growing evidence indicates that rhythmic stimuli with a regular structure facilitate temporal processing and enable behavioral benefits thanks to temporal anticipation (Correa and Nobre, 2008;Henry et al, 2014;Henry and Obleser, 2012;Jones, 2018). Neural oscillations reflect rhythmic fluctuations of neural excitability and are, therefore, excellent candidates for a mechanism underlying temporal prediction via the phase alignment of slow oscillations to external events (Henry et al, 2014;Henry and Obleser, 2012;Kösem et al, 2014;Obleser and Kayser, 2019;Suess et al, 2021). This makes oscillatory entrainment an elegant neurophysiological implementation of the dynamic attending theory (Haegens and Zion Golumbic, 2018;Jones, 2018;Lakatos et al, 2019).…”

Section: Beta-band Power Encodes Predictions About the Acoustic Envel...mentioning

confidence: 99%

“…This makes oscillatory entrainment an elegant neurophysiological implementation of the dynamic attending theory (Haegens and Zion Golumbic, 2018;Jones, 2018;Lakatos et al, 2019). However, phase synchronization could be caused via bottom-up-driven evoked responses to the regular stimuli that simply reflect the periodicity of the events (Suess et al, 2021;Zoefel and VanRullen, 2016). This makes it difficult to determine whether neural entrainment is functionally relevant to sensory selection (but see Kösem et al, 2014;Zoefel and VanRullen, 2016).…”

Section: Beta-band Power Encodes Predictions About the Acoustic Envel...mentioning

confidence: 99%

“…This makes it difficult to determine whether neural entrainment is functionally relevant to sensory selection (but see Kösem et al, 2014;Zoefel and VanRullen, 2016). Therefore, the key question becomes whether top-down factors can actively control neural entrainment (Haegens and Zion Golumbic, 2018;Suess et al, 2021).…”

Section: Beta-band Power Encodes Predictions About the Acoustic Envel...mentioning

confidence: 99%

“…However, mechanisms underlying this type of active sensing, and the respective neural pathways controlling the gain of beat perception, are not fully known (34). Importantly, it is still actively debated whether the oscillations of the auditory cortex passively entrain to sensory input, or whether neural entrainment is under active top-down control (2,4,(35)(36)(37)(38)(39).…”

Section: Introductionmentioning

confidence: 99%

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Predicting the Beat Bin: Beta Oscillations Predict the Envelope Sharpness in a Rhythmic Sequence

Leske¹,

Endestad²,

Volehaugen³

et al. 2023

Preprint

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The brain exploits acoustic temporal regularities in the environment to enable prediction of the timing of future events and to optimize sensory processing and behavior. Periodic sensory inputs have been shown to entrain oscillatory brain activity. But to what extent is this entrainment mechanism instrumental to temporal prediction and under top-down control? The current study addresses these questions by investigating whether the brain can use a cue to predict the precision of a beat, thereby exerting flexible endogenous control via neural entrainment according to the precision needed in the given sensory context. Using sound cues, we informed participants about the acoustic shape (sharp or smooth) of the upcoming target sound, thus inducing two alternative levels of predicted temporal precision: high or low. Participants were asked to detect the delay of a target sound relative to a series of preceding isochronous sounds that were physically constant across all conditions. The results show that the information of the cue modulated the prediction of beat precision. Pre-target beta (15-25 Hz) power, as well as beta and alpha (8-12 Hz) phase locking, was enhanced if the listener predicted a target sound with a high compared to a low temporal precision. Interestingly, pre-target beta power correlated positively with behavioral performance in the delay-detection task but negatively with the variability of the perceptual center (P-center) of the sounds, demonstrating the tight relation between beta oscillations and perceptual temporal precision. This study provides new insight into the predictive processes underlying entrainment to different levels of temporal precision during beat perception and shows for the first time that these processes are in fact under top-down control.

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