Number of the records: 1  

Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised

  1. 1.
    0546900 - ÚI 2022 GB eng J - Journal Article
    Woldman, W. - Schmidt, Helmut - Abela, E. - Chowdhury, F.A. - Pawley, A.D. - Jewell, S. - Richardson, M.P. - Terry, J.R.
    Dynamic network properties of the interictal brain determine whether seizures appear focal or generalised.
    Scientific Reports. Roč. 10, č. 1 (2020), č. článku 7043. ISSN 2045-2322. E-ISSN 2045-2322
    Keywords : ilae commission * functional connectivity * position paper * epilepsy * eeg * classification * misdiagnosis * oscillations * management * diagnosis
    Impact factor: 4.380, year: 2020

    Current explanatory concepts suggest seizures emerge from ongoing dynamics of brain networks. It is unclear how brain network properties determine focal or generalised seizure onset, or how network properties can be described in a clinically-useful manner. Understanding network properties would cast light on seizure-generating mechanisms and allow to quantify to which extent a seizure is focal or generalised. Functional brain networks were estimated in segments of scalp-EEG without interictal discharges (68 people with epilepsy, 38 controls). Simplified brain dynamics were simulated using a computer model. We introduce: Critical Coupling (C-c), the ability of a network to generate seizures; Onset Index (OI), the tendency of a region to generate seizures; and Participation Index (PI), the tendency of a region to become involved in seizures. C-c was lower in both patient groups compared with controls. OI and PI were more variable in focal-onset than generalised-onset cases. In focal cases, the regions with highest OI and PI corresponded to the side of seizure onset. Properties of interictal functional networks from scalp EEG can be estimated using a computer model and used to predict seizure likelihood and onset patterns. This may offer potential to enhance diagnosis through quantification of seizure type using inter-ictal recordings.
    Permanent Link: http://hdl.handle.net/11104/0323285

     
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.