Regulation

What is Regulation?

Regulation is NeuroSpicy's way of tracking how well your nervous system is finding its footing across time. It's the closest thing to a single-number summary of "is my system getting better at being itself?"

It watches two things together:

1. Variability: how much your energy swings day to day. Wider swings mean the system is harder to predict.
2. Boundary days: how often your energy hits the extremes (avg 1-2 or 9-10). Both extremes drain self-regulation faster than the middle.

The combined signal is more informative than either alone. A user oscillating tightly in the 5-7 zone is regulated. A user spiking to 10 then crashing to 1 is in boom-bust, even if the math averages out. Watching only variability misses the boom-bust pattern. Watching only extremes misses gradual drift. Together they tell the real story.

Why it matters

Regulation is THE primary therapeutic target in ADHD. The research is unambiguous on this:

• Castellanos et al. (2011) found that adults with ADHD are "consistently inconsistent". Intraindividual variability is a hallmark of the disorder, not noise [1]. The same individuals show much wider day-to-day swings than neurotypical controls.
• Rahimi 2026 (EDHD model) found that sustained extreme intensity, both the peaks AND the crashes, depletes the self-regulation resource pool faster than the middle states [2].
• Antcliff 2018 on activity pacing showed that staying within ~⅔ of perceived capacity prevents the boom-bust crash [3].

What this all points to: the goal isn't eliminating cycles. Cycles are normal and human. The goal is reducing extremes and finding rhythm. Lower highs and softer dips. Less time at 9-10 and 1-2.

Hyperfocus days at 9-10 feel amazing and produce real output. They also draw down a resource pool that takes longer to refill. Crash days at 1-2 are not character failures. They're the same pool running dry. Spending less time at either edge is what's being asked for.

How it works

Regulation tracks two dimensions across your data:

Variability trend (unlocks at 21 days). Compares the standard deviation of your last 14 days to the prior 14. If recent swings are bigger, that's declining. If smaller and your mean is healthy, that's improving.

Boundary days (unlocks at 7 days). Counts how many days in the last 14 hit the extremes (avg energy 1-2 or 9-10). Two or more in 14 days surfaces as the boom-bust pattern. This unlocks earlier than the variability trend, so new users (who often coincide with the most volatile patterns) can see it from their first week.

A flatlining check: if your recent days are all stuck near the crash line, low variability doesn't mean improvement. It means stuck. The signal recognizes the difference and doesn't celebrate flatlining as progress.

Reading your results

Value	What it means
Improving	You're spending less time at the edges and/or your swings are getting smaller. Real progress
Steady	Your regulation pattern is holding consistent. No change in either direction
Shifting	Energy or mood is more variable than your usual recent baseline
Boom-bust	2+ days at the extremes in the last 14. The classic ADHD overshoot pattern is showing up

What you can do

• When Improving: Whatever rhythm you've found is working. The instinct is to push more now that you have room, resist that. The fastest way to lose the gains is to spike a 9-10 streak chasing what feels possible. Protect the rhythm.

• When Boom-bust or Shifting: The underlying signal isn't "bad week." It's that your nervous system isn't catching itself before swinging. The research-backed anchors are unglamorous but real:

  • Sleep consistency: same wake time matters more than total hours.
  • Regular meals: blood sugar swings amplify everything.
  • More frequent check-ins: the smaller upstream signals (mood drifting, energy easing) are visible earlier when you're checking in multiple times a day. The boom-bust pattern is often invisible from inside it.

• When Steady: You know your rhythm. Use that knowledge to plan around it.

Sources

1. Castellanos, F.X. et al. (2011). "Intraindividual variability in ADHD and its implications for research of causal links." Current Topics in Behavioral Neurosciences. PubMed 21769722
2. Rahimi (2026). "Energy Deficit Hyperactivity Disorder (EDHD) model." Neuroscience & Biobehavioral Reviews.
3. Antcliff, D., et al. (2018). "Activity pacing: moving beyond taking breaks and slowing down." Quality of Life Research. PMC5997723
4. Barkley, R.A. (1997). "Behavioral inhibition, sustained attention, and executive functions: constructing a unifying theory of ADHD." Psychological Bulletin. PubMed 9000892