What happens when your specparam model specification doesn’t match your actual neural signal?
I built a small WASM Python app to explore on simulations how model misfit can skew PSD shape and parameter estimates. Try it online here:
danielborek.me/code-spectra...
#EEG #MEG #Python #shiny
I built a small WASM Python app to explore on simulations how model misfit can skew PSD shape and parameter estimates. Try it online here:
danielborek.me/code-spectra...
#EEG #MEG #Python #shiny
May 23, 2026 at 7:09 AM
What happens when your specparam model specification doesn’t match your actual neural signal?
I built a small WASM Python app to explore on simulations how model misfit can skew PSD shape and parameter estimates. Try it online here:
danielborek.me/code-spectra...
#EEG #MEG #Python #shiny
I built a small WASM Python app to explore on simulations how model misfit can skew PSD shape and parameter estimates. Try it online here:
danielborek.me/code-spectra...
#EEG #MEG #Python #shiny
Hello again Bluesky - very glad to see people moving over here!
If anyone works on / wants to connect on work related to analyzing / interpreting neuro-ephys signals - specparam / aperiodic / oscillation stuff, etc - drop a comment or msg and I'll follow back!
If anyone works on / wants to connect on work related to analyzing / interpreting neuro-ephys signals - specparam / aperiodic / oscillation stuff, etc - drop a comment or msg and I'll follow back!
November 14, 2024 at 7:07 PM
Hello again Bluesky - very glad to see people moving over here!
If anyone works on / wants to connect on work related to analyzing / interpreting neuro-ephys signals - specparam / aperiodic / oscillation stuff, etc - drop a comment or msg and I'll follow back!
If anyone works on / wants to connect on work related to analyzing / interpreting neuro-ephys signals - specparam / aperiodic / oscillation stuff, etc - drop a comment or msg and I'll follow back!
SFFTs and wavelets and SpecParam (oh my!) at "Advances in the Analysis of Oscillatory Brain Activity" at #2025SPR this afternoon. Always great to learn more about EEG in the frequency domain! @therealspr.bsky.social
October 17, 2025 at 7:25 PM
SFFTs and wavelets and SpecParam (oh my!) at "Advances in the Analysis of Oscillatory Brain Activity" at #2025SPR this afternoon. Always great to learn more about EEG in the frequency domain! @therealspr.bsky.social
Aperiodic parameters are systematically dependent on the frequency range used to estimate them. We evaluated intracortical recordings of 62 patients using both Specparam and IRASA.
The full article is finally out. @martinirani.bsky.social @medelero.bsky.social
ieeexplore.ieee.org/document/113...
The full article is finally out. @martinirani.bsky.social @medelero.bsky.social
ieeexplore.ieee.org/document/113...
Aperiodic exponent of brain field potentials is dependent on the frequency range it is estimated
The aperiodic component of brain field potentials (EEG, LFP, intracortical recordings) is increasingly being recognized as an important topic in both basic and clinical neuroscience. Aperiodic activit...
ieeexplore.ieee.org
January 12, 2026 at 1:28 PM
Aperiodic parameters are systematically dependent on the frequency range used to estimate them. We evaluated intracortical recordings of 62 patients using both Specparam and IRASA.
The full article is finally out. @martinirani.bsky.social @medelero.bsky.social
ieeexplore.ieee.org/document/113...
The full article is finally out. @martinirani.bsky.social @medelero.bsky.social
ieeexplore.ieee.org/document/113...
heading to @acnporg.bsky.social ! Do you work with EEG, MEG, ECoG and local field potential data? Let's chat about neural power spectra! Also poster on Tuesday on applying specparam (specparam-tools.github.io/index.html) to pediatric, resting state EEG from boys with autism spectrum disorder 🧠
Spectral Parameterization — specparam 2.0.0rc2 documentation
specparam-tools.github.io
December 7, 2024 at 4:50 PM
heading to @acnporg.bsky.social ! Do you work with EEG, MEG, ECoG and local field potential data? Let's chat about neural power spectra! Also poster on Tuesday on applying specparam (specparam-tools.github.io/index.html) to pediatric, resting state EEG from boys with autism spectrum disorder 🧠
yeah I think that's a real issue here beyond semantics:
just splitting aperiodic and periodic by the PSD (via specparam) and specifically requiring the latter to have narrow-ish band can be, well, incorrect. That's a legitimate future direction for method development.
just splitting aperiodic and periodic by the PSD (via specparam) and specifically requiring the latter to have narrow-ish band can be, well, incorrect. That's a legitimate future direction for method development.
November 24, 2024 at 3:18 PM
yeah I think that's a real issue here beyond semantics:
just splitting aperiodic and periodic by the PSD (via specparam) and specifically requiring the latter to have narrow-ish band can be, well, incorrect. That's a legitimate future direction for method development.
just splitting aperiodic and periodic by the PSD (via specparam) and specifically requiring the latter to have narrow-ish band can be, well, incorrect. That's a legitimate future direction for method development.
Happy to share our recent work "Aperiodic exponent of brain field potentials is dependent on the frequency range it is estimated"
This relation was consistent across Specparam and IRASA estimations
www.biorxiv.org/content/10.1...
Thanks to our team
Martin, Vicente @medelero.bsky.social, JP and Tomas
This relation was consistent across Specparam and IRASA estimations
www.biorxiv.org/content/10.1...
Thanks to our team
Martin, Vicente @medelero.bsky.social, JP and Tomas
Aperiodic exponent of brain field potentials is dependent on the frequency range it is estimated
The aperiodic component of brain field potentials, like EEG, LFP and intracortical recordings, has shown to be a valuable tool in basic neuroscience and in clinical applications. Aperiodic activity is...
www.biorxiv.org
December 23, 2024 at 12:32 PM
Happy to share our recent work "Aperiodic exponent of brain field potentials is dependent on the frequency range it is estimated"
This relation was consistent across Specparam and IRASA estimations
www.biorxiv.org/content/10.1...
Thanks to our team
Martin, Vicente @medelero.bsky.social, JP and Tomas
This relation was consistent across Specparam and IRASA estimations
www.biorxiv.org/content/10.1...
Thanks to our team
Martin, Vicente @medelero.bsky.social, JP and Tomas
Thanks Alina. The group difference observed in Fig. S1 might not be solely due to the choice of window length (e.g., [1–X] Hz or [3–X] Hz), but could also involve interactions between the window length and other parameters used in the Specparam model, such as peak threshold and minimum peak height.
July 12, 2025 at 5:46 AM
Thanks Alina. The group difference observed in Fig. S1 might not be solely due to the choice of window length (e.g., [1–X] Hz or [3–X] Hz), but could also involve interactions between the window length and other parameters used in the Specparam model, such as peak threshold and minimum peak height.
What makes it special?
* Full pipeline: from raw data to sleep research figures
* Built on trusted tools: mne_python, PyPREP, YASA, SpecParam
* Modular, scalable, beginner-friendly, open-source
* Step-by-step Jupyter notebooks
* 3 high-density sleep EEG datasets included
* Full pipeline: from raw data to sleep research figures
* Built on trusted tools: mne_python, PyPREP, YASA, SpecParam
* Modular, scalable, beginner-friendly, open-source
* Step-by-step Jupyter notebooks
* 3 high-density sleep EEG datasets included
April 28, 2025 at 7:33 PM
What makes it special?
* Full pipeline: from raw data to sleep research figures
* Built on trusted tools: mne_python, PyPREP, YASA, SpecParam
* Modular, scalable, beginner-friendly, open-source
* Step-by-step Jupyter notebooks
* 3 high-density sleep EEG datasets included
* Full pipeline: from raw data to sleep research figures
* Built on trusted tools: mne_python, PyPREP, YASA, SpecParam
* Modular, scalable, beginner-friendly, open-source
* Step-by-step Jupyter notebooks
* 3 high-density sleep EEG datasets included
This is a great question! Our paper is grounded in the 'specparam' framework and aims to test whether current approaches yield biased and/or correlated estimates of spectral parameters. I think this is an important question given the widespread use of these methods.
September 25, 2025 at 2:15 PM
This is a great question! Our paper is grounded in the 'specparam' framework and aims to test whether current approaches yield biased and/or correlated estimates of spectral parameters. I think this is an important question given the widespread use of these methods.
1️⃣ Don’t normalize power spectra.
Absolute beta power (µV²/Hz) performs better than relative “% of total power.”
2️⃣ Remove the aperiodic component using specparam.
Isolating the periodic beta peaks improves the SNR.
The high beta maps shrink toward the therapeutic sweet spot (blue sphere in video).
Absolute beta power (µV²/Hz) performs better than relative “% of total power.”
2️⃣ Remove the aperiodic component using specparam.
Isolating the periodic beta peaks improves the SNR.
The high beta maps shrink toward the therapeutic sweet spot (blue sphere in video).
December 15, 2025 at 8:47 AM
1️⃣ Don’t normalize power spectra.
Absolute beta power (µV²/Hz) performs better than relative “% of total power.”
2️⃣ Remove the aperiodic component using specparam.
Isolating the periodic beta peaks improves the SNR.
The high beta maps shrink toward the therapeutic sweet spot (blue sphere in video).
Absolute beta power (µV²/Hz) performs better than relative “% of total power.”
2️⃣ Remove the aperiodic component using specparam.
Isolating the periodic beta peaks improves the SNR.
The high beta maps shrink toward the therapeutic sweet spot (blue sphere in video).
Great idea! I’ve been using the R litsearchr elizagrames.github.io/litsearchr/ library by Eliza Grames to conduct searches related to specparam. I’ll compare your list of terms with mine—I was focusing only on recent publications
litsearchr - an R package to facilitate quasi-automatic search strategy development for systematic reviews
elizagrames.github.io
November 21, 2024 at 7:57 PM
Great idea! I’ve been using the R litsearchr elizagrames.github.io/litsearchr/ library by Eliza Grames to conduct searches related to specparam. I’ll compare your list of terms with mine—I was focusing only on recent publications
This project uses basically all my tools & strategies - systematic literature searches (lisc), simulations (neurodsp), collecting various analysis methods, comparing to specparam (fooof) & empirical data analysis - all openly available in the project repo:
github.com/AperiodicMet...
github.com/AperiodicMet...
GitHub - AperiodicMethods/AperiodicMethods: Evaluating methods for estimating aperiodic activity in electrophysiological data.
Evaluating methods for estimating aperiodic activity in electrophysiological data. - GitHub - AperiodicMethods/AperiodicMethods: Evaluating methods for estimating aperiodic activity in electrophys...
github.com
September 18, 2024 at 8:08 PM
This project uses basically all my tools & strategies - systematic literature searches (lisc), simulations (neurodsp), collecting various analysis methods, comparing to specparam (fooof) & empirical data analysis - all openly available in the project repo:
github.com/AperiodicMet...
github.com/AperiodicMet...
By applying specparam on the data before computing slowing, we show that this effect comprises both rhythmic and arrhythmic components
Rhythmic slowing related only to cognitive impairments, while arrhythmic slowing related to motor and cognitive scores
(2/8)
Rhythmic slowing related only to cognitive impairments, while arrhythmic slowing related to motor and cognitive scores
(2/8)
October 23, 2023 at 6:27 PM
By applying specparam on the data before computing slowing, we show that this effect comprises both rhythmic and arrhythmic components
Rhythmic slowing related only to cognitive impairments, while arrhythmic slowing related to motor and cognitive scores
(2/8)
Rhythmic slowing related only to cognitive impairments, while arrhythmic slowing related to motor and cognitive scores
(2/8)
That’s an interesting point. Specparam actually does a pretty good job at teasing apart true oscillatory peaks from the aperiodic activity, but future work needs to take into account the non-sinusoidal nature of oscillations to further optimize oscillation estimation.
October 23, 2025 at 10:08 AM
That’s an interesting point. Specparam actually does a pretty good job at teasing apart true oscillatory peaks from the aperiodic activity, but future work needs to take into account the non-sinusoidal nature of oscillations to further optimize oscillation estimation.
Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam https://www.biorxiv.org/content/10.1101/2023.09.20.558566v1
Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam https://www.biorxiv.org/content/10.1101/2023.09.20.558566v1
SpecParam (formally known as FOOOF) allows for the refined measurements of electroencephalography pe
www.biorxiv.org
September 22, 2023 at 11:24 PM
Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam https://www.biorxiv.org/content/10.1101/2023.09.20.558566v1
What is misleading about aperiodic?
The tool is not called one over f, it's now called 'specparam' for spectral parameterization. We've used the aperiodic & periodic terminology since the paper.
The tool is not called one over f, it's now called 'specparam' for spectral parameterization. We've used the aperiodic & periodic terminology since the paper.
November 21, 2024 at 8:33 PM
What is misleading about aperiodic?
The tool is not called one over f, it's now called 'specparam' for spectral parameterization. We've used the aperiodic & periodic terminology since the paper.
The tool is not called one over f, it's now called 'specparam' for spectral parameterization. We've used the aperiodic & periodic terminology since the paper.
Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam https://www.biorxiv.org/content/10.1101/2023.09.20.558566v1
Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam https://www.biorxiv.org/content/10.1101/2023.09.20.558566v1
SpecParam (formally known as FOOOF) allows for the refined measurements of electroencephalography pe
www.biorxiv.org
September 22, 2023 at 11:24 PM
Test-retest reliability of spectral parameterization by 1/f characterization using SpecParam https://www.biorxiv.org/content/10.1101/2023.09.20.558566v1
We hypothesized that these "off-target" effects of dopamine therapies may be reducing the effectiveness of the drug in some people
To test this, we developed a new approach that combines PLS and neuromaps to measure off-target medication effects with pharmaco-MEG
(4/9)
To test this, we developed a new approach that combines PLS and neuromaps to measure off-target medication effects with pharmaco-MEG
(4/9)
April 21, 2025 at 6:25 PM
We hypothesized that these "off-target" effects of dopamine therapies may be reducing the effectiveness of the drug in some people
To test this, we developed a new approach that combines PLS and neuromaps to measure off-target medication effects with pharmaco-MEG
(4/9)
To test this, we developed a new approach that combines PLS and neuromaps to measure off-target medication effects with pharmaco-MEG
(4/9)