Existence of Dynamic Functional Connectivity Variations of Brain Networks in Psychogenic Non-Epileptic Seizures Through Resting-state Functional Magnetic Resonance Imaging

Journal article

BackgroundPsychogenic Non-Epileptic Seizures (PNES), is a type of seizure that is caused by emotional factors. Symptoms of PNES are similar to epileptic seizures including disturbance in involuntary movement. Previous studies showed that neural activity altered in PNES detected through the resting-state functional Magnetic Resonance Imaging (rs-fMRI) thus this study was designed for a better understanding of PNES pathophysiology using the rs-fMRI technique.ObjectiveThis study was conducted to examine dynamic Functional Connectivity (dFC) in the brain networks between PNES and healthy control subjects.Material and methodsIn this experimental study, the rs-fMRI was collected from 16 PNES subjects and 16 healthy subjects. After surrogating data, the sliding window technique was used for dFC detection in nine brain networks which chosen from Stanford Findlab.ResultsOur results indicate that there were no differences in the presence or absence of dFC between the PNES group and the control group in the ventral Default Mode Network (vDMN), Language Network (LN), and Visuospatial Network (VSN). However, dFC was elevated in the PNES group in comparison to the normal control group within the Sensorimotor Network (SMN), Posterior Salience Network (PSN), and Anterior Salience Network (ASN).ConclusionThe findings suggest that dFC analyses hold significant potential for uncovering abnormal patterns of brain network connections in the PNES. This offers a promising finding for a better comprehension of PNES.

Authors: Vardian, M; Oghabian, MA; Arbabi, M; Ganjgahi, H

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Salvia Medical Sciences Ltd
• Journal: Journal of biomedical physics & engineering
• Volume: 15
• Issue: 5
• Pages: 467-478
• Publication date: 2025-10-01
• Acceptance date: 2023-10-14
• DOI: 10.31661/jbpe.v0i0.2306-1627
• ISSN: 2251-7200
• Pmid: 41122330
• Language: English
• Keywords: Functional magnetic resonance imaging; Default Mode Network; Echo-planar Imaging; Regression Analyses; Seizure Disorder; Brain Network; Nonepileptic Seizure; Dynamic Functional Connectivity