Critical Attention Systems / BioReg

From signal
to dynamics.

Explore how EEG changes across baseline, disturbance, and recovery. Follow the observations, inspect the models, and keep the evidence in view.

EEG research software · Development reviewed 6 October 2026

15participants in the v13 analysis
3independently modeled bands
45participant-specific fits

01 / The working environment

One recording.
Several ways to see it.

The installed BioReg application connects acquisition, measurement, exploration, and storage. Each workspace keeps the source and its processing history accessible.

01

EEG Studio

Keep waveforms, spectra, coherence networks, scalp maps, complex states, and marked blocks together on one continuous recording page. Load saved trajectories and fits in their own study view.

Recording → measurement
02

Observatory

Compare theta, alpha, and beta activity with a compatible control recording or an explicitly marked baseline. Inspect activity, change curves, window counts, and descriptive spread; export the selected observations.

Observation → comparison
03

Acquisition

Record through supported BrainFlow/OpenBCI devices, select visible channels, and mark study blocks on the recording timeline.

Device → recording
04

Atlas

Organize pseudonymous session summaries, data quality, provenance, and optional self-reports. Raw EEG remains in its source files.

Session → research record

Current recording workspace

Keep the whole recording in view.

Section links move through the same page. Double-click a plot to enlarge it; Close or Escape returns it to its place.

Connected views

Waveforms and spectra lead into coherence matrices, networks, and all-band scalp maps. Recording tools cover delta through gamma.

Entropy over time

Sᵥₙ, electrode-basis Sdiag, and their derived gap appear in separate panels on a shared time axis. Complex matrices use the selected band and physical time window.

Trace visibility

Select electrodes on the head diagram to show their phase traces. All and None adjust the display without changing the measured channels or reference.

Clear data sources

Saved fits contain exported curves. Recording-level plots use actual EEG samples. A new recording replaces the current study only after analysis succeeds.

Available here

This web edition opens the saved v13 results and a local observation journal. Recording import, EEG processing, device connections, and Atlas run in the installed application.

Open journal ↗

02 / The latest analysis

Real trajectories.
Visible uncertainty.

The September 2026 study fits a five-factor model separately to each participant and each band. The explorer displays the exported observations and model curves directly.

Study v13 · 8 September 2026

Look closely at
the individual response.

Move between theta, alpha, and beta. Compare a conditional one-step fit with a baseline-calibrated free run. Inspect the residuals and the missing windows alongside the curves.

Open the results explorer ↗Read the technical report ↗
p19 / Beta · 13–30 HzRecorded study
Actual p19 beta activity and entropy observations with the conditional fitted expectation across study phases
Conditional one-step fit Explore these curves ↗
45 / 45

Fits converged in the accepted result set.

95.313%

Entropy points within two fitted residual standard deviations.

Same-participant fit

Parameters and phase entropy corrections use the displayed participants’ data. Coverage describes fit, not predictive accuracy.

03 / What comes next

From describing a response
to testing a prediction.

BioReg separates implemented tools, completed analyses, and the questions that still need an independent test.

Completed analysis

Participant-specific capacity

The current study describes accepted Laplacian EEG measurements over a stitched baseline–disturbance–recovery trajectory. Each participant and band has its own parameters.

  • Quality screening precedes fitting.
  • Missing windows remain visible.
  • Entropy and the entropy gap are derived from EEG matrix structure.
Next research milestone

Unseen-participant prediction

The five-factor model and its phase corrections need matching recovery tests and participant-held-out evaluation before predictive claims can be made.

  • Freeze training quantities before testing.
  • Limit individual calibration to permitted baseline data.
  • Compare disturbance and recovery predictions against simple null models.

Attention studies

A practical route into mindfulness research.

The installed app includes eight preprocessed 16-second excerpts from two participants: breath counting, physical-sensation practice, and instructed active-thinking controls. These controls are not resting baselines. Compatible reference comparisons help explore EEG differences; the short examples demonstrate the workflow without establishing an effect of practice.

04 / Behind the workspace

One measurement engine.
A traceable analysis.

BioReg handles recordings and the interface. BioReg-EEG performs the scientific measurement. BioReg-Analysis builds and evaluates exploratory models.

BioRegAcquire & organize

Files, devices, labels, workspaces, storage

BioReg-EEGMeasure & audit

Quality, spectra, coherence, complex states, entropy

BioReg-AnalysisFit & evaluate

Model trajectories, uncertainty, residuals, reports