ArticleCNS neuroscience & therapeutics2026
Mapping the Phenotypic Spectrum of Occipital Lobe Epilepsy: A SEEG-Defined Network Classification.
Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveOccipital lobe epilepsy (OLE) often presents with complex clinical symptoms that extend beyond the occipital lobe, posing significant challenges for diagnosis and lesion localization. This study aims to systematically characterize the seizure phenotype spectrum of OLE using stereo-electroencephalography (SEEG) and elucidates its electrophysiological and anatomical basis.
methodsThis single-center, retrospective case series included 19 patients who underwent comprehensive SEEG evaluation. Seizure phenotypes were classified based on the initial and evolving clinical manifestations. SEEG recordings coregistered with MRI/CT fusion images were used to identify the seizure onset zone and subsequent propagation pathways. Through systematic analysis of electroclinical correlations in conjunction with the dual-stream model, phenotypic features were mapped to specific propagation networks.
resultsWe identified five distinct clinical phenotypes: Pure visual (I), ±visual → automatism (II), visual aura → oculomotor → evolving motor (III), oculomotor onset (IV), and behavioral arrest → motor (V). These mapped to four reproducible SEEG propagation patterns: restricted (I, 10.5%), ventral stream-limbic (II, 26.3%), dorsal-medial/default mode network-limbic (III, 47.4%), and lateral occipital-temporoparietooccipital junction (TPOJ) (IV, 15.8%). Individual patients could exhibit multiple clinical phenotypes across different seizures. The TPOJ and posterior cingulate/precuneus emerged as key hubs for rapid cross-network propagation and symptom evolution. Representative cases showed close temporal concordance between clinical semiology and SEEG-defined propagation sequences.
conclusionsThis study proposes a preliminary anatomical-electrophysiological-clinical classification for OLE. Seizure phenotypes in OLE were associated with structured, pathway-specific network recruitment rather than nonspecific spread within this single-center cohort. A phenotype-driven SEEG approach may offer valuable insights into seizure network organization and could inform presurgical evaluation and individualized surgical planning, though these findings require validation in larger, prospective cohorts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.