Quantifying what visual inspection cannot resolve

BrainFocus iEEG applies signal processing to intracranial recordings to measure how each contact engages during a seizure — producing an objective quantification that complements the clinician’s reading of the raw trace.

How the analysis works

During a seizure, pathological activity emerges as changes in the recorded signal. Some of these changes are clear on the trace; others are buried in background activity and cannot be separated by eye, particularly when hundreds of contacts are recorded simultaneously.

BrainFocus analyses every contact’s signal to calculate how strongly and how early each region activates. The result is expressed as spatio‑temporal maps rather than as a closed verdict.

The analysis parameters are interactive and transparent, allowing for a comprehensive data review.

Inside the software

The iEEG inspection and analysis is under the clinician’s control, so every quantified result can be checked against the raw signal

Every test in one placeThe platform puts together synchronized video-EEG inspection, quantitative metrics and neuroimage, all in one place.

Easily inspect aligned MRI, CT, PET, reconstruction of SEEG electrode trajectories and anatomical segmentations.

TC plot in BrainFocus iEEG — Inspect all electrodes in one view where colour intensity shows how strongly and how early each one engages, for easier understading of activity propagation

See it in use

Visualize seizure dynamics in its corresponding anatomical site

The science behind BrainFocus iEEG

BrainFocus iEEG integrates the Low Entropy Map method, a new and patented detector on which BrainFocus has exclusive rights.

European patent EP3977478, granted on 19 February 2025 by the European Patent Office.

Detailed information on the technology and its performance can be found in:

Vila-Vidal M, Pérez-Enríquez C, Principe A, Rocamora R, Deco G, & Tauste Campo A. (2020). Low entropy map of brain oscillatory activity identifies spatially localized events: a new method for automated epilepsy focus prediction. NeuroImage, 208, 116410.

Vila-Vidal M, Principe A, Ley M, Deco G, Tauste Campo A, & Rocamora R. (2017). Detection of recurrent activation patterns across focal seizures: application to seizure onset zone identification. Clinical Neurophysiology, 128(6), 977–985.

BrainFocus iEEG is available for testing

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