Quantify the scalp-conditioned information increment

Determine how much information about a specified intracranial target is contributed by the concurrent scalp EEG segment beyond non-concurrent information such as anatomy, domain, task context, and permissible target-patient adaptation data.

Background

The review distinguishes a marginal predictor conditioned on non-concurrent information from a predictor additionally conditioned on the concurrent scalp EEG segment. The unresolved issue is whether apparent reconstruction performance reflects information in the scalp signal itself or instead anatomy, task context, target-patient adaptation, or the marginal structure of intracranial EEG.

The authors propose comparing p(y|B) with p(y|x,B), together with target-reliability and reference-sensitivity analyses, to quantify the incremental contribution of concurrent scalp EEG.

References

How much information about a specified intracranial target is contributed by the concurrent scalp segment?

— Virtual iEEG from Scalp EEG: Charting the Landscape of Source Imaging, Intracranial Inference and Reconstruction  (2608.26998 - He et al., 27 Aug 2026) in Section 7, “Outstanding questions and research priorities”

Where are the anatomical, spectral, state-dependent, and event-specific limits of recoverability?

— Virtual iEEG from Scalp EEG: Charting the Landscape of Source Imaging, Intracranial Inference and Reconstruction  (2608.26998 - He et al., 27 Aug 2026) in Section 7, “Outstanding questions and research priorities”

Does virtual iEEG provide incremental utility beyond scalp EEG and ESI?

— Virtual iEEG from Scalp EEG: Charting the Landscape of Source Imaging, Intracranial Inference and Reconstruction  (2608.26998 - He et al., 27 Aug 2026) in Section 7, “Outstanding questions and research priorities”

Which negative results meaningfully define the reconstruction boundary?

— Virtual iEEG from Scalp EEG: Charting the Landscape of Source Imaging, Intracranial Inference and Reconstruction  (2608.26998 - He et al., 27 Aug 2026) in Section 7, “Outstanding questions and research priorities”