Purpose Of Review: The understanding of psychogenic nonepileptic seizures (PNES) has advanced steadily over recent decades. This update summarizes new insights from the last three years.
Recent Findings: The process of diagnosing PNES has shifted from the exclusion of epilepsy to one based on the recognition of typical clinical features. While the diagnosis cannot rely on any single feature in isolation, a range of semiological features characterising PNES are now recognised and a number of studies hint at the potential for machine learning and AI to improve the diagnostic process. Advances in data processing and analysis may also help to make sense of the heterogeneity of PNES populations demonstrated by recent studies focussing on aetiology and patient subgroups. It is now clear that PNES are associated with high rates of mental and physical comorbidities and premature death, highlighting that they are only one manifestation of a complex disorder extending beyond the nervous system and the seizures themselves.
Summary: PNES are now understood as a manifestation of dysfunction in interacting brain networks. This understanding provides an explanation for the psychopathological and semiological heterogeneity of PNES patient populations. New insights into medical comorbidities and increased rates of premature death call for more research into associated pathological processes outside the nervous system.
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http://dx.doi.org/10.1097/WCO.0000000000001245 | DOI Listing |
Brain Sci
January 2025
Guy's and St Thomas' NHS Foundation Trust, London SE1 7EH, UK.
In the original publication [...
View Article and Find Full Text PDFEpilepsia Open
January 2025
Faculty of Medicine, Universidad Nacional Autónoma de Mexico (UNAM), Copilco Universidad, Mexico city, Mexico.
The potential of dietary interventions, particularly the use of the ketogenic diet in patients with Psychogenic Non-Epileptic Seizures (PNES), remains underexplored. This study aimed to assess the feasibility of a 6-week ketogenic diet (Modified Atkins Diet, MAD) intervention in adult patients with PNES and to compare its effects on PNES frequency and other variables against a control healthy diet (CD). A feasibility pilot randomized controlled trial was conducted at a tertiary neurology hospital, enrolling outpatients diagnosed with PNES and assigning them to either MAD or CD.
View Article and Find Full Text PDFBrain Behav
January 2025
Technion Faculty of Medicine, Haifa, Israel.
Objective: Medical personnel show difficulty in differentiating psychogenic nonepileptic seizures (PNES) from epileptic seizures (ES). The purpose of this study was to conduct an initial feasibility assessment of the global dynamic impression (GDI) principle and to evaluate its effectiveness in enabling the diagnosis of epileptic versus psychogenic seizures using video footage of events, even by untrained personnel METHODS: We based this study on video footage showing five videos of PNES and five ES videos. We asked physicians and nurses from the emergency department, internal medicine department, neurology department, and medical students to classify the videos before and after learning the GDI principle.
View Article and Find Full Text PDFRationale: Patients who experience seizures, including PNES, are usually advised to discontinue driving, or have their driving privileges revoked until a determined period of seizure-freedom is achieved. In this retrospective study, patients with PNES who requested driving privileges or reported having resumed driving were compared to those who did not on measures of depression, anxiety, PTSD, and cognitive flexibility/motor speed.
Methods: DiagnosisofPNESwasconfirmedwithvideo-EEG.
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.
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