PURPOSE: To increase understanding of the subjective symptomatology of seizure experiences and improve differential diagnosis by studying the seizure metaphors used by patients with (psychogenic) nonepileptic seizures (NES) and epilepsy. METHODS: Twenty-one unselected patients taking part in this study were admitted for 48 h of video-EEG (electroenceophalography) observation because of uncertainty about the diagnosis. Eight were proven to have epilepsy, 13 to have psychogenic nonepileptic seizures (PNES). During their admission, patients were interviewed by a neurologist. A linguist blinded to the medical diagnosis identified and categorized all seizure metaphors in verbatim transcripts. Between-group comparisons and logistic regression analysis were carried out. RESULTS: Of 382 metaphors identified, 80.8% conceptualized seizures as an agent/force, event/situation, or space/place. Most patients used metaphors from all categories, but patients with epilepsy and PNES showed preferences for different metaphoric concepts (differences p = 0.009 to p = 0.039). Patients with epilepsy preferred metaphors depicting the seizure as an agent/force or event/situation. PNES patients more often used metaphors of space/place. Logistic regression analyses predicted the diagnosis of PNES or epilepsy correctly in 85.7% of cases (based on different metaphor types in the each category) or 81.0% (based on all metaphor tokens). DISCUSSION: Patients with epilepsy and PNES have different preferences in the metaphoric conceptualization of their seizures. Epileptic seizures are described as a more external, self-directed entity than PNES, which are depicted as a state or place patients go through. The differentiating value of metaphoric conceptualizations suggests that metaphor preference could form the basis of future diagnostic questionnaires or other diagnostic tools.
PURPOSE: To increase understanding of the subjective symptomatology of seizure experiences and improve differential diagnosis by studying the seizure metaphors used by patients with (psychogenic) nonepileptic seizures (NES) and epilepsy. METHODS: Twenty-one unselected patients taking part in this study were admitted for 48 h of video-EEG (electroenceophalography) observation because of uncertainty about the diagnosis. Eight were proven to have epilepsy, 13 to have psychogenic nonepileptic seizures (PNES). During their admission, patients were interviewed by a neurologist. A linguist blinded to the medical diagnosis identified and categorized all seizure metaphors in verbatim transcripts. Between-group comparisons and logistic regression analysis were carried out. RESULTS: Of 382 metaphors identified, 80.8% conceptualized seizures as an agent/force, event/situation, or space/place. Most patients used metaphors from all categories, but patients with epilepsy and PNES showed preferences for different metaphoric concepts (differences p = 0.009 to p = 0.039). Patients with epilepsy preferred metaphors depicting the seizure as an agent/force or event/situation. PNES patients more often used metaphors of space/place. Logistic regression analyses predicted the diagnosis of PNES or epilepsy correctly in 85.7% of cases (based on different metaphor types in the each category) or 81.0% (based on all metaphor tokens). DISCUSSION: Patients with epilepsy and PNES have different preferences in the metaphoric conceptualization of their seizures. Epilepticseizures are described as a more external, self-directed entity than PNES, which are depicted as a state or place patients go through. The differentiating value of metaphoric conceptualizations suggests that metaphor preference could form the basis of future diagnostic questionnaires or other diagnostic tools.
Authors: Amos D Korczyn; Steven C Schachter; Martin J Brodie; Sarang S Dalal; Jerome Engel; Alla Guekht; Hrvoje Hecimovic; Karim Jerbi; Andres M Kanner; Cecilie Johannessen Landmark; Pavel Mares; Petr Marusic; Stefano Meletti; Marco Mula; Philip N Patsalos; Markus Reuber; Philippe Ryvlin; Klára Štillová; Roberto Tuchman; Ivan Rektor Journal: Epilepsy Behav Date: 2013-06-10 Impact factor: 2.937
Authors: Markus Reuber; Min Chen; Jenny Jamnadas-Khoda; Mark Broadhurst; Melanie Wall; Richard A Grünewald; Stephen J Howell; Matthias Koepp; Steve Parry; Sanjay Sisodiya; Matthew Walker; Dale Hesdorffer Journal: Neurology Date: 2016-07-06 Impact factor: 9.910
Authors: Vindhya Ekanayake; Sarah Kranick; Kathrin LaFaver; Arshi Naz; Anne Frank Webb; W Curt LaFrance; Mark Hallett; Valerie Voon Journal: J Psychosom Res Date: 2017-03-27 Impact factor: 3.006