Analiza kierunkowego przekazu informacji w różnych częstościach fal mózgowych podczas spoczynku u pacjentów z oporną na leki epilepsją
PubMed➕ 08.10.2026J Neural Eng
Spectrally-resolved transfer entropy in resting-state SEEG reveals epileptogenic and non-epileptogenic communication in adults and children with refractory epilepsy
W skrócie
Badacze badali, jak różne części mózgu poraźonych epilepsją komunikują się ze sobą w spoczynku, analizując nagrania elektryczne z elektrod umieszczonych bezpośrednio w mózgu. Odkryli, że strefy mózgu generujące napady wysyłają sygnały w innych częstościach fal niż strefy zdrowe, a różnice te są nieco inne u dzieci niż u dorosłych. Wyniki pokazują, że analiza tych komunikatów może w przyszłości pomóc w lepszym zidentyfikowaniu obszarów mózgu odpowiedzialnych za napady i poprawie wyników chirurgii epilepsji.
Oryginalny abstract (angielski)
. To characterise directed, frequency-resolved communication between seizure onset zone (SOZ) and non-involved zone (NIZ) regions in resting-state stereo-electroencephalography (SEEG) from adults and children with drug-resistant epilepsy (DRE).. We analysed retrospective SEEG from 21 adults and 18 paediatric patients who underwent focal resective surgery. Channels were grouped into four link classes (SOZ → SOZ, NIZ → SOZ, SOZ → NIZ, NIZ → NIZ). Signals were decomposed into delta, theta, alpha, beta, gamma, and broadband bands, and transfer entropy (TE) was estimated with a Gaussian estimator. For each source-target channel pair, an optimal temporal delay was selected by scanning delays from 2-200 ms and choosing the delay that maximised broadband TE. Significance testing used 100 phase-randomised surrogates per source and per target; Benjamini-Hochberg false discovery rate correction (= 0.05) was applied within each band-to-band TE grid (separately for source- and target-surrogate-values).. In NIZ → SOZ links median communication delays were longer in adults than children (median 87.9 ms vs 68.0 ms; Mann-Whitney< 1 × 10; Kolmogorov-Smirnov< 1 × 10). Across most link classes, dominant source frequencies were broadband, delta, and theta. A distinct SOZ → SOZ pattern emerged: adults showed broadband, alpha, and beta source dominance with prominent broadband → gamma transfer, whereas children showed broadband, delta, and theta dominance while retaining broadband → gamma contribution. Cross-link-class source and target frequency distributions differed significantly in both cohorts (< 0.05). While intra-regional SOZ-SOZ communication revealed unique multiplex signatures, inter-regional NIZ → SOZ interactions did not show a distinct spectral profile from non-involved connectivity.. Resting-state SEEG communication in DRE exhibits multiplex, cross-frequency directed interactions. Spectrally resolved TE reveals conserved and cohort-specific shifts in SOZ-NIZ communication motifs. While these differences are confounded by pathology and site variations, they provide a frequency-specific characterization of the epileptogenic network that may support grounded interpretation of resting-state dynamics.
Metadane publikacji
Journal
J Neural Eng
Data publikacji
07.10.2026
PMID
42842311
DOI
10.1088/1741-2552/aeabf3
Autorzy
Okoroafor F, Makhoul GS, Lerma BHM, Reda A, Qiang Z, C Cavender A, Wang K, Liao E, Chari A, Piper RJ
Słowa kluczowe
cross-frequency information transfer, epilepsy, network dynamics, transfer entropy