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All Journal Sriwijaya Journal of Radiology and Imaging Research Enigma in Education
Despian Januandri
Department of Neurology, Phlox Institute, Palembang, Indonesia
Humanities Dentistry Education Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Neuroscience Physics Other

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Effectiveness of a Neuroeducation-Based Instructional Intervention on Cognitive Flexibility and Creative Resilience Among Undergraduate Students: A Quasi-Experimental Study Grace Freya Purba; Giselle Dupont; Despian Januandri
Enigma in Education Vol. 4 No. 1 (2026): Enigma in Education
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/edu.v4i1.122

Abstract

Neuroeducation-based instructional approaches have gained attention for enhancing cognitive outcomes, yet empirical evidence in higher education remains limited. This study aimed to evaluate the effectiveness of an eight-week neuroeducation-based instructional intervention on cognitive flexibility, creative resilience, and academic engagement among undergraduate students. A quasi-experimental pre-test post-test control group design was employed. A total of 124 undergraduate students at a private university in Palembang, Indonesia were assigned to an experimental group (n = 62) receiving the neuroeducation-based intervention and a control group (n = 62) receiving conventional instruction. Cognitive flexibility was measured using the Cognitive Flexibility Inventory (CFI), creative resilience using the Creative Resilience Scale (CRS), and academic engagement using the Academic Engagement Scale (AES). Data were analyzed using analysis of covariance (ANCOVA) controlling for pre-test scores, with bootstrapped effect size confidence intervals (10,000 resamples). The experimental group showed significantly higher post-test scores compared to the control group on cognitive flexibility (p < 0.001, d = 1.72, 95% CI [1.28, 2.16]), creative resilience (p < 0.001, d = 1.89, 95% CI [1.44, 2.34]), and academic engagement (p < 0.001, d = 1.12, 95% CI [0.70, 1.54]). In conclusion, neuroeducation-based instructional interventions can substantially enhance cognitive flexibility and creative resilience among university students, supporting the integration of neuroscience-informed pedagogy into higher education curricula.
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 Giselle Dupont Grace Freya Purba Reza Andrianto