[Eeglablist] Invitation to collaborate on an open paper about EEG’s 1/f power distribution

[Makoto Miyakoshi]

Hi Karlton,

Thank you for checking in. In fact, I am also badly behind the
ongoing discussion.
I can give you a summary of updates on my end. I'm sure other people have
their own progress they can share. However, because I've been focusing on
my topic too deeply in the past several weeks to pay attention to what's
going on on the other side. I'll catch up soon.

1. We moved the main discussion place to Github.
https://urldefense.com/v3/__https://github.com/sccn/OneOverF/discussions__;!!Mih3wA!DuA-X4Y3fIvUzcvdYRSc27MK2cSHlRNJXJR0wSimkAvW0GGJV_YNYsiKo4rljUiGwlWs9m01RoXU7iSpPJSJPBb2IiA$ 
2. (From what I learned so far) there seems to be at least 4 independent
mechanisms that can contribute to 1/f-ness. Below is the list of them in
order of simplicity and popularity.


   1. *Spatial scales for averaging*: low-frequency activities involve
   spatially broad cortex, while high-frequency activities involves local
   cortical areas. When scalp EEG's spatial averaging scale is applied, the
   latter tend to cancel each other within the fixed spatial constant, hence
   results in a low-pass effect. This is described in the 'Electric Fields of
   the Brain' (EFB).
   2. *AMPA/GABA_A receptor-evoked potential (aka E/I balance)*: This is
   the core dogma of the FOOOF papers (Gao et al., 2017; Donoghue et al.,
   2020). AMPA-receptor-generated spikes are narrower than those generated by
   GABA_A receptors, hence the former is flatter than the latter in the
   frequency domain. This is not explained in EFB.
   3. *Cable-theory-based low-pass filter effect*: See
   https://urldefense.com/v3/__https://github.com/sccn/OneOverF/discussions/8__;!!Mih3wA!DuA-X4Y3fIvUzcvdYRSc27MK2cSHlRNJXJR0wSimkAvW0GGJV_YNYsiKo4rljUiGwlWs9m01RoXU7iSpPJSJkyZ_Hn8$  for Figure 2 of Rall et
   al. (1967). The more distant a synaptic input location is, the more
   low-pass filter effect it applies. This is explained in EFB in detail. In
   fact, other than the spatial averaging, EFB treats it as the only source of
   the low-pass filter effect.
   4. *Electrodiffusive potential*: In my opinion, this is for now the most
   esoteric one in which I've been strongly interested personally for the past
   weeks. It only impacts < 1 Hz and possibly up to the delta range. Its
   origin is not a synaptic activity. It does not involve current. Halnes et
   al. (2024) reported that local field potential (LFP) can measure up to 35
   microV under moderate cognitive load.

Status (as far as I know, and I'm probably more than 1 month behind):

   - I think many of the 174 'registered' participants to this open project
   are interested in 2. I think Mate Gyurkovic will work on it.
   - Cedric Cannard has been working on a linear mixed-effect (LME)
   regression to estimate the contribution of the 'slope'.
   - Makoto Miyakoshi has analyzed one EEG study that may be able to
   demonstrate the effect of electrodiffusive potential in scalp EEG. I've
   been consulting specialists for the validity of my view.

I welcome other people to add/correct my summary above.

My project, targeting electrodiffusive potential, seems to be generalized
to other projects as long as experimental design is suitable. I will
announce potential collaborators to gather datasets, verify the hypothesis,
and write a paper together in this context. My project requires continuous
stimuli, and hopefully two different groups of subjects, such as healthy
adults vs patients, or young vs old, etc..

Makoto

On Mon, Jan 19, 2026 at 10:49 PM Wirsing, Karlton <kwirsing at vt.edu> wrote:

> I was very busy back in November. What is the status of the paper? I could
> collaborate if it is still going on.
> Karlton Wirsing
>
> ------------------------------
> *From:* eeglablist <eeglablist-bounces at sccn.ucsd.edu> on behalf of 王广军
> via eeglablist <eeglablist at sccn.ucsd.edu>
> *Sent:* Wednesday, November 12, 2025 8:59 PM
> *To:* eeglablist at sccn.ucsd.edu <eeglablist at sccn.ucsd.edu>;
> mmiyakoshi at ucsd.edu <mmiyakoshi at ucsd.edu>
> *Cc:* eeglablist at sccn.ucsd.edu <eeglablist at sccn.ucsd.edu>
> *Subject:* Re: [Eeglablist] Invitation to collaborate on an open paper
> about EEG’s 1/f power distribution
>
>
>
> Hi everyone!
> I am interested too!
>
> Best regards,
> Wang Guangjun
>
>
>
>
>
>
>
> --
>
> Wang GJ, MD
> Tell: +86 10 6408 9384
> E-mail: cacms_guangjun at 163.com // tjuwgj at gmail.com
> Institute of Acupuncture & Moxibustion, CACMS
>
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