Dipolar source localization from intracerebral SEEG recordings.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Stereo-electroencephalography (SEEG) is crucial for epilepsy diagnosis, typically using bipolar montages that obscure distant signal propagation.
• Current methods often focus on local activity, potentially missing sources of widespread brain events.

Purpose of the Study:

• To explore the feasibility of a novel brain source localization method using original SEEG recordings (common reference montage).
• To leverage signal propagation information in SEEG to identify sources distant from electrode contacts.

Main Methods:

• Utilized an equivalent dipole model for source representation.
• Employed homogeneous infinite models to simulate signal propagation in brain tissue.
• Analyzed raw SEEG data (common reference montage) instead of bipolar montages.

Main Results:

• The proposed method demonstrated satisfactory source localization performance under specific conditions.
• Validated the approach on real SEEG data by localizing the generator of intra-cortical electrical stimulation (ICS).

Conclusions:

• Analyzing SEEG signal propagation offers a viable approach for localizing distant brain sources.
• This method enhances the utility of SEEG data for understanding complex neural activity and its origins.