Most 'focus' playlists I have heard sit at 70 to 90 BPM. I built this one to run at 145, with exaggerated stereo panning and dense polyrhythm, and I designed each choice around a published account of how ADHD attention fails.
Most “focus” playlists I have heard sit at 70 to 90 BPM; I built this one to run at 145, with exaggerated stereo panning and dense polyrhythmic texture, and I chose each feature for a reason. Optimal stimulation theory holds that ADHD attention is gated by chronic under-arousal (Zentall, 1975), and I designed three audio features to work on that failure mode together, through a tempo high enough to raise arousal, panning that keeps the spatial channel occupied, and structured complexity that resists habituation. I have not tested the playlist experimentally; the essay sets out the design rationale and the research each choice draws on.
Deep, sustained focus in an ADHD brain asks for specific conditions, and they tend to differ from the conditions a neurotypical brain reaches for. I built the playlist around three audio features, combined on purpose to meet the ADHD attention system where it tends to break down, and I tuned it to hold a high-stimulation, low-anxiety state that an ADHD listener can settle into for sustained work.
The design comes from my years as a live club DJ during my doctorate. Mixing for live rooms taught me what particular audio features do to a room’s arousal, and I found that the same features map onto the research on ADHD attention. I read the three features as one coordinated design, because each answers a different way the ADHD attention system fails and all three run at the same time.
I designed the playlist so that three auditory features run at the same time, each one aimed at a different way the ADHD attention system fails, and I rely on no single feature alone. Together they target what I think of as a “high-stimulation, low-anxiety” state, in which the auditory stimulus occupies the brain’s surplus attentional bandwidth without adding restlessness or anxiety.
A common assumption about ADHD is that it is a problem of too much stimulation. Zentall’s optimal stimulation theory (Zentall, 1975, 1983) proposes the reverse; ADHD brains are chronically under-aroused, and the hyperactivity, fidgeting, and distractibility we read as the disorder are compensatory, the brain generating enough stimulation to climb to its own optimal arousal level.
On that account, the fidgeting is the brain working to close an arousal deficit, and the distraction is the attentional system foraging for stimulation the task does not supply. Zentall called this extra-task stimulation seeking. Greenop and Kann (2007) found that adding stimulation to the task environment improved mathematics performance in children with ADHD.
Most of the tracks in this playlist run between 140 and 150 BPM, well above the 70 to 90 BPM of the lo-fi and ambient focus playlists I have heard. I chose the speed to supply arousal from outside, so the listener’s attention has less reason to go looking for it elsewhere; a tempo that might overstimulate a neurotypical listener is the one I expect to bring an under-aroused listener up to baseline.
On headphones, which is how I listen to it, the sound moves. It pans from left to right, bounces between the ears, and gives the physical sensation of audio traveling through the head.
The panning borrows from bilateral stimulation, the alternating left-right sensory input at the core of Eye Movement Desensitization and Reprocessing (EMDR) therapy, which can be visual (eye movements), tactile (tapping), or auditory (alternating tones) (Shapiro, 2001). I use panning as an auditory analogue of that input. I have not measured its physiological effect in this playlist, so I state the design reasoning as a hypothesis.
My reasoning runs through resource competition. Following sound as it moves through space occupies spatial attention, and I expect a listener whose spatial attention is busy tracking the sound to scan the room less for visual distractions. Many ADHD listeners already use “8D audio,” music mixed with exaggerated stereo panning, as a focus aid, and I built that feature into the playlist on purpose.
The polyrhythm runs against intuition. Intuition says simpler music should distract less and help focus more, and for many neurotypical listeners that is true. For an under-aroused listener, I expect simple music to work worse, because the brain predicts the pattern, habituates to it, and goes looking for something more interesting.
The framework here is stochastic resonance, the phenomenon in which adding noise to a weak signal makes the signal easier to detect. Söderlund, Sikström, and Smart (2007) proposed the moderate brain arousal model, in which individuals with low tonic dopamine, which the model attributes to ADHD, need more external noise to reach optimal cortical arousal. They found that white noise improved memory performance in children with ADHD and impaired it in children without ADHD, and Baijot and colleagues (2016) found noise benefits concentrated among children with ADHD and with weaker vigilance and inhibition.
Polyrhythmic music supplies structured complexity; it is unpredictable enough to keep novelty-seeking attention busy and patterned enough to avoid startling the listener. A basic four-on-the-floor beat at 145 BPM becomes predictable within minutes. With polyrhythms, syncopation, polyphonic textures, and unexpected rhythmic interactions layered in, the listener keeps processing and tracking the structure, and I expect that load to absorb the spare bandwidth that would otherwise drift toward a phone.
Rijmen and Wiersema (2024) complicated this picture. In adults with elevated ADHD traits, they found that a pure tone helped performance as much as pink noise did, which suggests that stochastic resonance may not be the mechanism behind the noise benefit and that structured, non-random sound may work through a more general arousal pathway. I read that result as support for structured music as a candidate, since the benefit may come from sustained stimulation in general, and music delivers that in a form that is easier to tolerate across long work sessions.
I designed the three features to work together. High tempo without complexity becomes predictable, complexity at a slow tempo may never raise arousal enough, and panning alone is pleasant background. The table below sets out the design.
| Feature | Theoretical basis | ADHD failure mode | Design intent |
|---|---|---|---|
| 140-150 BPM | Optimal stimulation theory (Zentall, 1975) | Under-arousal and boredom | Raise arousal toward an optimal level |
| Bilateral panning | Bilateral stimulation in EMDR (Shapiro, 2001) | Restlessness and environmental distraction | Occupy spatial attention |
| Polyrhythmic complexity | Moderate brain arousal model (Söderlund et al., 2007) | Habituation and tuning out | Sustain structured cognitive load |
I think of the design as bandwidth occupation. I fill the spatial and rhythmic channels with enough structured input that they stop scanning for distractions.
Knowing why the playlist is built this way also makes it tunable. A listener who finds 145 BPM too intense is trading arousal for comfort, and that trade is worth making on purpose. In my own listening, the tracks that feel most effective carry more prominent panning or more complex rhythmic structure, and once the ear knows what to listen for, a listener can tune the playlist toward their own attention system.
For an under-aroused attentional system, I would calibrate structured stimulation to the specific deficit; background music chosen for pleasantness solves a different problem.