Objective: To investigate the characteristics of motor manifestation during convulsive epileptic and psychogenic nonepileptic seizures (PNES), captured using a wrist-worn accelerometer (ACM) device. The main goal was to find quantitative ACM features that can differentiate between convulsive epileptic and convulsive PNES.
Methods: In this study, motor data were recorded using wrist-worn ACM-based devices. A total of 83 clinical events were recorded: 39 generalized tonic-clonic seizures (GTCS) from 12 patients with epilepsy, and 44 convulsive PNES from 7 patients (one patient had both GTCS and PNES). The temporal variations in the ACM traces corresponding to 39 GTCS and 44 convulsive PNES events were extracted using Poincaré maps. Two new indices-tonic index (TI) and dispersion decay index (DDI)-were used to quantify the Poincaré-derived temporal variations for every GTCS and convulsive PNES event.
Results: The TI and DDI of Poincaré-derived temporal variations for GTCS events were higher in comparison to convulsive PNES events (P < 0.001). The onset and the subsiding patterns captured by TI and DDI differentiated between epileptic and convulsive nonepileptic seizures. An automated classifier built using TI and DDI of Poincaré-derived temporal variations could correctly differentiate 42 (sensitivity: 95.45%) of 44 convulsive PNES events and 37 (specificity: 94.87%) of 39 GTCS events. A blinded review of the Poincaré-derived temporal variations in GTCS and convulsive PNES by epileptologists differentiated 26 (sensitivity: 70.27%) of 44 PNES events and 33 (specificity: 86.84%) of 39 GTCS events correctly.
Significance: In addition to quantifying the motor manifestation mechanism of GTCS and convulsive PNES, the proposed approach also has diagnostic significance. The new ACM features incorporate clinical characteristics of GTCS and PNES, thus providing an accurate, low-cost, and practical alternative to differential diagnosis of PNES.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/epi.14619 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Retrospective discrimination of PNES and epileptic seizure types using blood RNA signatures.
J Neurol
January 2025
Morehouse School of Medicine, Neuroscience Institute, 720 Westview Drive SW, Atlanta, GA, 30310, USA.
Objectives: The ability to differentiate epileptic- and non-epileptic events is challenging due to a lack of reliable molecular seizure biomarker that provide a retrospective diagnosis. Here, we use next generation sequencing methods on whole blood samples to identify changes in RNA expression following seizures.
Methods: Blood samples were obtained from 32 patients undergoing video electroencephalogram (vEEG) monitoring.
Personality and Attachment Patterns in Patients with Psychogenic Non-Epileptic Seizures in Saudi Arabia.
Medicina (Kaunas)
November 2024
Department of Biochemistry and Molecular Medicine, College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia.
The purpose of this study was to investigate personality and relationship patterns in patients with psychogenic non-epileptic seizures (PNES) and compare them to patients with epilepsy and healthy controls. A total of 68 participants were recruited (mean age = 29.8 ± 9.
View Article and Find Full Text PDFA Retrospective Study Reviewing Timing to Onset of Habitual Psychogenic Non-Epileptic Seizures in a Home Video Telemetry Cohort.
Brain Sci
November 2024
Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK.
Objectives: This study aimed to investigate the onset time to habitual psychogenic non-epileptic seizures (PNES) in adults referred to Guy's and St Thomas' Neurophysiology Department for home video telemetry (HVT) with a clinical question of PNES. The primary objective was to determine the optimal time window for HVT recording for patients with suspected PNES to try to improve the allocation of clinical resources. The secondary objective was to explore any potential association between time to habitual PN ES onset and demographic indexes and other clinical, neuro-radiological and semiological findings.
View Article and Find Full Text PDFSleep disorders in functional neurological disorder - a systematic review and meta-analysis.
Neurol Sci
December 2024
University of Central Lancashire, Preston, UK.
Introduction: Functional neurological disorders (FND) are conditions marked by disruptions in brain network function without structural abnormalities. Sleep disturbances, though under-researched, are commonly observed in FND patients and may worsen symptoms and overall health.
Methods: This systematic review had been registered prospectively in PROSPERO with the registration number: CRD42023446306.
Evaluation of the relationships between psychiatric comorbidity and seizure semiology in psychogenic non-epileptic seizure patients.
Acta Psychol (Amst)
February 2025
İzmir Katip Çelebi University Atatürk Research and Training Hospital, Department of Neurology, Basınsitesi, 35150 Karabağlar, İzmir, Turkey.
Psychogenic non-epileptic seizures (PNES) are episodic events that bear a resemblance to epileptic seizures (ES) in their outward manifestations, yet they lack pathological electroencephalographic (EEG) activity during the ictal phase. In the Diagnostic and Statistical Manual 5th Edition (DSM-5), PNES is designated as "Functional Neurological Symptom Disorder with seizures". Individuals diagnosed with PNES commonly present with concurrent psychiatric disorders, notably depression, panic disorder, and chronic anxiety.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!