Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Sriwijaya Journal of Radiology and Imaging Research
Reza Andrianto
Department of Health Sciences, Halmahera Community Health Center, Halmahera, Indonesia
Dentistry Health Professions Medicine & Pharmacology Neuroscience Physics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Resting-State Functional MRI Connectivity Disruption Predicts Post-Stroke Epileptogenesis: A Prospective Longitudinal Cohort Study Despian Januandri; Brenda Jaleel; Reza Andrianto
Sriwijaya Journal of Radiology and Imaging Research Vol. 4 No. 1 (2026): Sriwijaya Journal of Radiology and Imaging Research
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjrir.v4i1.324

Abstract

Introduction: Post-stroke epilepsy (PSE) complicates roughly 5–10% of ischaemic strokes, yet clinical and electroencephalographic markers predict unprovoked late seizures only modestly. Resting-state functional MRI (rs-fMRI) with graph theory can non-invasively quantify brain-network architecture. We tested whether subacute functional-connectivity disruption predicts PSE. Methods: In a prospective longitudinal cohort at a tertiary hospital in Palembang, Indonesia, 150 adults with first-ever supratentorial ischaemic stroke underwent 3.0-T rs-fMRI on day 7–14 and were followed for 24 months (reported per STARD 2015 and TRIPOD). Automated Anatomical Labelling 90-region graph metrics were derived (CONN/SPM12). The reference standard was an International League Against Epilepsy-defined unprovoked late seizure, adjudicated blind to imaging. A penalised support-vector-machine model was internally validated (nested cross-validation, optimism correction, calibration) and compared with a clinical model using DeLong, decision-curve and competing-risks analyses. Results: PSE occurred in 30 of 150 patients (cumulative incidence 19.2%). PSE patients showed thalamic degree-centrality overload (62.4±8.1 vs 45.2±6.8; p<0.001) and small-world collapse (σ 1.08±0.12 vs 1.25±0.11; p=0.008). The rs-fMRI model achieved sensitivity 86.7% (95% CI 70.3–94.7), specificity 88.3% (81.4–92.9), AUC 0.92 (0.85–0.99), LR+ 7.43 and LR− 0.15, versus clinical AUC 0.74 (DeLong p<0.001); inter-reader kappa was 0.84. Conclusion: Subacute rs-fMRI connectomic disruption is a strong, independent, internally validated predictor of PSE that outperforms clinical variables. External multicentre validation is warranted before clinical adoption.
Co-Authors Brenda Jaleel Despian Januandri