Rhythmic modulation of visual contrast discrimination triggered by action

Benedetto, Alessandro; Spinelli, Donatella; Morrone, Maria Concetta

doi:10.1098/rspb.2016.0692

Cited by 55 publications

(104 citation statements)

References 56 publications

(78 reference statements)

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“…Both suppression and enhancement are independent of stimulus eccentricity (Knöll et al, 2011) and thus are unlikely generated by spatial attention, which shifts from fixation to saccadic target very early, ϳ300 ms before saccadic onset (Kowler et al, 1995;Deubel and Schneider, 1996;Rolfs and Carrasco, 2012). The perisaccadic suppression and the subsequent enhancement form a cycle of an oscillation at ϳ3 Hz, suggesting that they might be part of a more prolonged oscillation linked to saccadic preparation, similarly to the visual oscillation demonstrated in preparation of an hand action (Tomassini et al, 2015;Benedetto et al, 2016).…”

Section: Introductionmentioning

confidence: 80%

“…Brain oscillations might be important in binding and integrating sensorimotor information (Engel et al, 2001) via a shared internal oscillator that coordinates the two systems. Recent experiments have shown that voluntary movements can synchronize oscillations of visual performance (Tomassini et al, 2015;Benedetto et al, 2016). Therefore, action not only interferes with perception through a single transient suppression at around movement time (a phenomenon called "motorinduced suppression"), but rhythmically interacting long before and after action execution.…”

Section: Introductionmentioning

confidence: 99%

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Saccadic Suppression Is Embedded Within Extended Oscillatory Modulation of Sensitivity

Benedetto

Morrone

2017

J. Neurosci.

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Action and perception are intimately coupled systems. One clear case is saccadic suppression, the reduced visibility around the time of saccades, which is important in mediating visual stability; another is the oscillatory modulation of visibility synchronized with hand action. To suppress effectively the spurious retinal motion generated by the eye movements, it is crucial that saccadic suppression and saccadic onset be temporally synchronous. However, the mechanisms that determine this temporal synchrony are unknown. We investigated the effect of saccades on contrast discrimination sensitivity over a long period stretching over >1 s before and after saccade execution. Human subjects made horizontal saccades at will to two stationary saccadic targets separated by 20°. At a random interval, a brief Gabor patch was displayed between the two fixations in either the upper or lower visual field and the subject had to detect its location. Strong saccadic suppression was measured between -50 and 50 ms from saccadic onset. However, the suppression was systematically embedded in a trough of oscillations of contrast sensitivity that fluctuated rhythmically in the delta range (at ∼3 Hz), commencing ∼1 s before saccade execution and lasting for up to 1 s after the saccade. The results show that saccadic preparation and visual sensitivity oscillations are coupled and the coupling might be instrumental in temporally aligning the initiation of the saccade with the visual suppression. Saccades are known to produce a suppression of contrast sensitivity at saccadic onset and an enhancement after saccadic offset. Here, we show that these dynamics are systematically embedded in visual oscillations of contrast sensitivity that fluctuate rhythmically in the delta range (at ∼3 Hz), commencing ∼1 s before saccade execution and lasting for up to 1 s after the saccade. The results show that saccadic preparation and visual sensitivity oscillations are coupled and the coupling might be instrumental in aligning temporally the initiation of the saccade with the visual suppression.

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Section: Introductionmentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Saccadic Suppression Is Embedded Within Extended Oscillatory Modulation of Sensitivity

Benedetto

Morrone

2017

J. Neurosci.

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“…There is a growing body of evidence for a rhythmic component of human perception and behaviour supported by neural oscillations (Benedetto et al, 2016;Fiebelkorn et al, 2013;Landau and Fries, 2012;VanRullen et al, 2011;Zoefel and VanRullen, 2017). Correspondingly, there is an increased interest in investigating how certain measures of performance (from the detection of simple stimuli such as pure tones, to more complex tasks such as speech comprehension) vary with the phase of ongoing neural oscillations (e.g., Baumgarten et al, 2015;Busch et al, 2009;Henry et al, 2014;Henry and Obleser, 2012;Ng et al, 2012;Riecke et al, , 2015aRiecke et al, , 2015bStrauß et al, 2015;Zoefel et al, 2018;Zoefel and Heil, 2013;Zoefel and VanRullen, 2015).…”

Section: Discussionmentioning

confidence: 99%

How to test for phasic modulation of neural and behavioural responses

Zoefel

Davis

Valente

et al. 2019

Preprint

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 The phase of neural oscillations modulates neural responses and behaviour  We test the ability of different methods to detect such a phase effect  We test how this ability changes with nature of effect and experimental parameters  Results represent groundwork for future investigations of oscillatory phase effects AbstractThe question whether perception or other processes depend on the phase of neural oscillations is a research topic that is rapidly gaining popularity. Importantly however, it is unknown which methods are optimally suited to evaluate the hypothesized phase effect. Using a simulation approach, we here test the ability of different methods to detect such an effect and reject an absent one. We reveal optimal methods for different parameters that characterise the phase effect or depend on the experimental design to test for it. We demonstrate that permutation-based methods perform better than parametric ones for all of the simulated parameters. The identity of the optimal parametric method varies with several parameters, in particular with the number of phase bins chosen for the analysis and the width of the phase effect. In contrast, the identity of the best permutation-based method is unaffected by changes in the simulated parameters. In sum, our study lays a foundation for optimized experimental designs and analyses in future studies investigating the role of neural phase for behaviour and neural function. We supply MATLAB code that can be used to identify the ideal method (among all of the methods tested) for a specific scientific hypothesis and set of experimental parameters.

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“…However, these studies investigating cardiac influences on perception and cognition have only employed passive stimulus presentation, which ignores self-initiated action as a crucial dimension of sensory and particularly visual processing. Mediating our engagement with a visual scene, motor actions dynamically orchestrate incoming sensory data and thus strongly influence visual perception-selecting what information is preferentially processed (Benedetto, Spinelli, & Morrone, 2016;Tomassini, Spinelli, Jacono, Sandini, & Morrone, 2015). Sensorimotor coupling has also been linked to periodic attentional fluctuations (Hogendoorn, 2016;Morillon, Schroeder, & Wyart, 2014).…”

Section: Introductionmentioning

confidence: 99%

Active information sampling varies across the cardiac cycle

et al. 2019

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Perception and cognition oscillate with fluctuating bodily states. For example, visual processing has been shown to change with alternating cardiac phases. Here, we study the heartbeat's role for active information sampling-testing whether humans implicitly act upon their environment so that relevant signals appear during preferred cardiac phases. During the encoding period of a visual memory experiment, participants clicked through a set of emotional pictures to memorize them for a later recognition test. By self-paced key press, they actively prompted the onset of short (100 ms) presented pictures. Simultaneously recorded electrocardiograms allowed us to analyze the self-initiated picture onsets relative to the heartbeat. We find that self-initiated picture onsets vary across the cardiac cycle, showing an increase during cardiac systole, while memory performance was not affected by the heartbeat. We conclude that active information sampling integrates heart-related signals, thereby extending previous findings on the association between body-brain interactions and behavior. K E Y W O R D Scardiovascular, emotion, interoception, memory, sensation/perception, young adults 2 of 16 | KUNZENDORF Et al. Cardiac activity occurs in a cycle of two phases: During diastole, the ventricles relax to be filled with blood; during systole, the ventricles contract and eject blood into the arteries, while visceral pathways send information about each heartbeat to the brain (Critchley & Harrison, 2013). Such natural phasic changes of the cardiovascular state have been mainly associated with variations in perception. For sensory processing, which is typically measured with detection tasks or reaction time tasks, response to passively presented stimuli has been shown to be attenuated during early cardiac phases (i.e., during systole) or relatively enhanced at later time points in the cardiac cycle (i.e., at diastole;

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Rhythmic modulation of visual contrast discrimination triggered by action

Cited by 55 publications

References 56 publications

Saccadic Suppression Is Embedded Within Extended Oscillatory Modulation of Sensitivity

Saccadic Suppression Is Embedded Within Extended Oscillatory Modulation of Sensitivity

How to test for phasic modulation of neural and behavioural responses

Active information sampling varies across the cardiac cycle

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