Cognitive behavioural therapy for psychogenic nonepileptic seizures (PNES) in an adult with a learning disability: A case study

BackgroundPsychogenic nonepileptic seizures (PNES) are attacks that often look like epileptic seizures (ES). Unlike ES, PNES are not triggered by underlying neurological factors. PNES are relatively rare in the general population; however, their prevalence in people with learning disabilities is much higher-up to 10%. Individuals with PNES and learning disabilities often have psychiatric comorbidities, such as anxiety disorders, depression and posttraumatic stress disorder. There are currently no treatment guidelines for PNES in people with or without learning disabilities. However, talking therapies, such as cognitive-behavioural therapy (CBT), are recommended. This study explores the effectiveness of CBT for the treatment of PNES in a woman (Susan) with PNES and learning disabilities. MethodsWe used a single-case experimental design (SCED) to investigate the effectiveness of CBT intervention. Specifically, the withdrawal (also known as ABA) design was applied. The patient's average PNES frequency, as well as idiosyncratic mood measure and standardised outcome measures for people with learning disabilities (Glasgow Anxiety Scale for People with an Intellectual Disability and Mini-Maslow Assessment of Needs Scale-Learning Disabilities), were used to assess the effectiveness of treatment. FindingsResults show that Susan's monthly PNES frequency reduced from phase A1 (assessment phase) to phase B (treatment phase), and this persisted to the follow-up phase (phase A2). However, the reduction was not statistically significant. The intervention was associated with improvements in Susan's mood, anxiety and quality of life. Reduction of Susan's anxiety was clinically significant. ConclusionsThis SCED study demonstrates that CBT might be associated with reduction of PNES frequency and improvements in general functioning in people with PNES and learning disabilities; however, further research, especially around confounding variables is needed.