Flicker-driven brain waves and alpha rhythms

[17 Feb 2019]

Our manuscript Stimulus-driven brain rhythms within the alpha band: The attentional-modulation conundrum has just been accepted for publication in the Journal of Neuroscience. We show that stimulus-driven and intrinsic brain rhythms in the ~10 Hz range (alpha) can be functionally segregated. Briefly put, while one goes up the other one goes down.

In an experiment, we recorded the brain waves of our participants while they were watching a screen with two stimuli. One, shown on the left, flickered at a rate of 10 Hz and another one, shown on the right, flickered at a rate of 12 Hz. (10 Hz flicker means that the stimulus cycles through a change in appearance or is simply switched on and off 10 times per second.) A very prominent notion has it that this type of visual stimulation is capable of taking possession, or “entrain”, the brain’s intrinsic alpha rhythm. The alpha rhythm can be characterised by its *amplitude* – the difference between peaks and troughs or, bluntly put, how strong it is – and its *phase* – when to expect a peak or trough based on its periodicity. From an entrainment perspective, alpha phase is assumed to lock on and align precisely to the periodicity of the visual stimulation.

Note that alpha itself has been looked into for almost a century and alpha phase has been tied to another exciting idea: How our brain processes visual input could be more akin to a camera than the continuous make-believe of our daily experience. Hereby, alpha works as a pacemaker that cuts the real-world continuity into perceptual samples or frames just like still frames of a movie. In line with this idea, experiments have shown that we seem to be less sensitive to “see” brief stimuli that pop up during one part of the alpha cycle – in the camera analogy, when the shutter is down – and more sensitive during another part, i.e. when the shutter is open.

Now, the *combination* of perceptual sampling and entrainment puts experimenters in a formidable position to study alpha’s role in perception. It allows them to manipulate alpha phase and exactly time the presentation of stimuli accordingly. Being able to entrain alpha (or other rhythms) through rhythmic visual stimulation would thus be a versatile and easy-to-apply tool – but does it really work?

In short, our experiment adds to a line of recent studies that challenge a straightforward alpha entrainment using visual flicker. Our main assumption was this: If it looks like alpha and behaves like alpha, then it should be alpha. *It* refers to the brain waves elicited by watching a 10 Hz flicker. Because the brain response shows up as 10-Hz rhythm in the EEG it does *look* like alpha – especially if you look at it in the frequency domain where it produces a neat 10-Hz spectral peak. “Does it behave like alpha?” we translated into “Does it have the same function?”

One very well documented effect is that alpha power (its strength) shifts according to where we attend to. If we focus our attention somewhere to our left (without actually looking there) then alpha power will go down in our right visual brain – due to the cross-wiring of our visual system from eye to cortex, this is where our left visual world is processed. This alpha decrease works like opening the gates for visual input to venture into further stages of processing. Simultaneously, alpha *increases* in the left visual brain, figuratively closing the gates to unattended, irrelevant sights to our right.

Would a brain response driven by our 10/12 Hz stimulation show a similar effect? If so, that would be strong evidence for a close relationship of spontaneous and stimulus-driven alpha brain waves. Using rhythmic flicker to control alpha experimentally would seem like a readily available manipulation. That was not what we found though. On the contrary – we were able to switch between alpha and the stimulus-driven brain waves using slightly different data analysis approaches. Also, attention had the known suppressive effect on alpha while the corresponding (i.e. same-side) stimulus-driven brain response increased.

These results led us to conclude that we are looking at two concurrent neural phenomena, alpha and flicker-driven brain responses. And each one of them seems to provide us with a different perspective on how attention alters our perception.

Find the specifics and references here.

Note 1: Of course, our results do not rule out alpha entrainment, only that an alpha range stimulus-driven brain wave should not be regarded as sufficient to show alpha entrainment. In the paper (and previous literature) we discuss several, possibly additional conditions that need to be satisfied to give rise to the phenomenon.

Note 2: Data and code to reproduce our results are available here. With minor modifications this code should be applicable to other datasets.

Disclaimer: Views expressed in this digest are mine (CK) and not necessarily shared in all their nuances between the co-authors of the manuscript.

First WoRB – Workshop on Rhythms in the Brain – concluded

Last week the first Workshop on Rhythms in the Brain – WoRB – took place here in Glasgow, at the Institute of Neuroscience & Psychology. The organisers thank our speakers Satu Palva, Ayelet Landau, Hartwig Siebner & Niko Busch for their inspiring talks, great discussions and joining our hike up Conic Hill.

Also thanks to everyone who attended the talks, found the time to meet with our guests and our fantastic Admin team, who made it all happen.


Accepted paper: Spontaneous and deterministic fluctuations of pre-stimulus alpha power govern biases in visual line bisection

Chris Benwell’s most recent study shows that an observer’s brain state, just before seeing a transected line, influences their judgment of its centre. Also, these critical brain states do not seem to fluctuate randomly from instant to instant, but trend systematically over time.

Brain states can be defined by rhythmic activity in characteristic frequency bands. We know that the alpha rhythm (roughly ten cycles per second) plays its role in how we take in the visual world around us. For example, strong alpha can shield us from visual impressions. Weak alpha allows for more sensory intake.

Until recently this role of alpha had mostly been shown for briefly presented light flashes just bright enough to be on the verge of being visible. But Chris’ study suggests that alpha may be a gatekeeper for other aspects of visual processing in the brain, too. Here, observers judged whether a line was transected left or right of its centre. Crucially, alpha power before line presentation influenced this judgment.

Line stimuli – Observers had to judge whether lines were interrupted left or right of their actual centre.

More surprising however was that fluctuations in alpha power didn’t come as spontaneous or random as previously thought. Instead, the time observers spent on the task seemed to play a role – at least to some extent. Alpha simply increased over the course of the experiment. And here’s the novel aspect: This deterministic trend predicted a gradual shift in line centre judgments from trial to trial. On average, observers judged the centre to be more to the right than it actually was.

In brief, Chris’ experiment showed that alpha not only influences whether we see very faint stimuli but also how we make judgments about the centre of a visual object. Also, alpha does not just fluctuate randomly but has a deterministic component: When performing a task for an extended period of time alpha inclines gradually. This leads to a sustained and predictable change in our visual perception.


Schematic of spontaneous and deterministic influences of alpha (a neurometric) on reported line center (a psychometric) – the colour gradient towards purple indicates that observers showed an increased rightward bias over time meaning that they increasingly judged the line centre more right than it actually was.

These findings beg an interesting question for future research: Can we find other determinants of alpha (i.e. brain state) fluctuations? Moreover, can all ‘spontaneous’ fluctuations ultimately be described by deterministic processes?

The paper has just been accepted for publication in the European Journal of Neuroscience, and can be found here.

Benwell CSY, Keitel C, Harvey M, Gross J, Thut G (accepted) Trial-by-trial co-variation of pre-stimulus EEG alpha power and visuospatial bias reflects a mixture of stochastic and deterministic effects. European Journal of Neuroscience

This paper is part of the EJN special issue “Neural Oscillations”.