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Seizure-onset regions demonstrate high inward directed connectivity during resting-state: An SEEG study in focal epilepsy.

Authors :
Narasimhan S
Kundassery KB
Gupta K
Johnson GW
Wills KE
Goodale SE
Haas K
Rolston JD
Naftel RP
Morgan VL
Dawant BM
González HFJ
Englot DJ
Source :
Epilepsia [Epilepsia] 2020 Nov; Vol. 61 (11), pp. 2534-2544. Date of Electronic Publication: 2020 Sep 18.
Publication Year :
2020

Abstract

Objective: In patients with medically refractory focal epilepsy, stereotactic-electroencephalography (SEEG) can aid in localizing epileptogenic regions for surgical treatment. SEEG, however, requires long hospitalizations to record seizures, and ictal interpretation can be incomplete or inaccurate. Our recent work showed that non-directed resting-state analyses may identify brain regions as epileptogenic or uninvolved. Our present objective is to map epileptogenic networks in greater detail and more accurately identify seizure-onset regions using directed resting-state SEEG connectivity.<br />Methods: In 25 patients with focal epilepsy who underwent SEEG, 2 minutes of resting-state, artifact-free, SEEG data were selected and functional connectivity was estimated. Using standard clinical interpretation, brain regions were classified into four categories: ictogenic, early propagation, irritative, or uninvolved. Three non-directed connectivity measures (mutual information [MI] strength, and imaginary coherence between and within regions) and four directed measures (partial directed coherence [PDC] and directed transfer function [DTF], inward and outward strength) were calculated. Logistic regression was used to generate a predictive model of ictogenicity.<br />Results: Ictogenic regions had the highest and uninvolved regions had the lowest MI strength. Although both PDC and DTF inward strengths were highest in ictogenic regions, outward strengths did not differ among categories. A model incorporating directed and nondirected connectivity measures demonstrated an area under the receiver-operating characteristic (ROC) curve (AUC) of 0.88 in predicting ictogenicity of individual regions. The AUC of this model was 0.93 when restricted to patients with favorable postsurgical seizure outcomes.<br />Significance: Directed connectivity measures may help identify epileptogenic networks without requiring ictal recordings. Greater inward but not outward connectivity in ictogenic regions at rest may represent broad inhibitory input to prevent seizure generation.<br /> (© 2020 International League Against Epilepsy.)

Details

Language :
English
ISSN :
1528-1167
Volume :
61
Issue :
11
Database :
MEDLINE
Journal :
Epilepsia
Publication Type :
Academic Journal
Accession number :
32944945
Full Text :
https://doi.org/10.1111/epi.16686