Two distinct symptom-based phenotypes of depression in epilepsy yield specific clinical and etiological insights

- This study revealed distinct symptom-based phenotypes of depression in epilepsy.
- A Cognitive Depression phenotype (base rate = 17%) was predominant.
- This was typified by self-critical cognitions, dysphoria, and diffuse memory deficits.
- A Somatic Depression phenotype (base rate = 7%) was typified by vegetative symptoms and anhedonia.
- Care implications include better diagnosis and treatment of depression in epilepsy.

Depression is common but underdiagnosed in epilepsy. A quarter of patients meet criteria for a depressive disorder, yet few receive active treatment. We hypothesize that the presentation of depression is less recognizable in epilepsy because the symptoms are heterogeneous and often incorrectly attributed to the secondary effects of seizures or medication. Extending the ILAE's new phenomenological approach to classification of the epilepsies to include psychiatric comorbidity, we use data-driven profiling of the symptoms of depression to perform a preliminary investigation of whether there is a distinctive symptom-based phenotype of depression in epilepsy that could facilitate its recognition in the neurology clinic. The psychiatric and neuropsychological functioning of 91 patients with focal epilepsy was compared with that of 77 healthy controls (N = 168). Cluster analysis of current depressive symptoms identified three clusters: one comprising nondepressed patients and two symptom-based phenotypes of depression. The 'Cognitive' phenotype (base rate = 17%) was characterized by symptoms taking the form of self-critical cognitions and dysphoria and was accompanied by pervasive memory deficits. The 'Somatic' phenotype (7%) was characterized by vegetative depressive symptoms and anhedonia and was accompanied by greater anxiety. It is hoped that identification of the features of these two phenotypes will ultimately facilitate improved detection and diagnosis of depression in patients with epilepsy and thereby lead to appropriate and timely treatment, to the benefit of patient wellbeing and the potential efficacy of treatment of the seizure disorder.This article is part of a Special Issue entitled “The new approach to classification: Rethinking cognition and behavior in epilepsy”.