Neuropsychology, Vol 36(8), Nov 2022, 729; doi:10.1037/neu0000864
Reports an error in “Development and application of the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE): Initial results from a multi-center study of adults with temporal lobe epilepsy” by Carrie R. McDonald, Robyn M. Busch, Anny Reyes, Kayela Arrotta, William Barr, Cady Block, Erik Hessen, David W. Loring, Daniel L. Drane, Marla J. Hamberger, Sarah J. Wilson, Sallie Baxendale and Bruce P. Hermann (Neuropsychology, Advanced Online Publication, Jan 27, 2022, np). In the original article, there was an error in Figure 2. In the box at the top left of the figure, the fourth explanation incorrectly stated, “Generalized impairment = At least one test 2022-25758-001). Objective: To describe the development and application of a consensus-based, empirically driven approach to cognitive diagnostics in epilepsy research—The International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) and to assess the ability of the IC-CoDE to produce definable and stable cognitive phenotypes in a large, multi-center temporal lobe epilepsy (TLE) patient sample. Method: Neuropsychological data were available for a diverse cohort of 2,485 patients with TLE across seven epilepsy centers. Patterns of impairment were determined based on commonly used tests within five cognitive domains (language, memory, executive functioning, attention/processing speed, and visuospatial ability) using two impairment thresholds (≤1.0 and ≤1.5 standard deviations below the normative mean). Cognitive phenotypes were derived across samples using the IC-CoDE and compared to distributions of phenotypes reported in existing studies. Results: Impairment rates were highest on tests of language, followed by memory, executive functioning, attention/processing speed, and visuospatial ability. Application of the IC-CoDE using varying operational definitions of impairment (≤ 1.0 and ≤ 1.5 SD) produced cognitive phenotypes with the following distribution: cognitively intact (30%–50%), single-domain (26%–29%), bi-domain (14%–19%), and generalized (10%–22%) impairment. Application of the ≤ 1.5 cutoff produced a distribution of phenotypes that was consistent across cohorts and approximated the distribution produced using data-driven approaches in prior studies. Conclusions: The IC-CoDE is the first iteration of a classification system for harmonizing cognitive diagnostics in epilepsy research that can be applied across neuropsychological tests and TLE cohorts. This proof-of-principle study in TLE offers a promising path for enhancing research collaborations globally and accelerating scientific discoveries in epilepsy. (PsycInfo Database Record (c) 2022 APA, all rights reserved)