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A user's guide for the International Classification of Cognitive Disorders in Epilepsy.
Hermann, Bruce; Busch, Robyn M; Reyes, Anny; Arrotta, Kayela; Fujikawa, Mayu; Ives-Deliperi, Victoria; Dollman, Aimee; Shah, Urvashi; McDonald, Carrie R.
Afiliação
  • Hermann B; University of Wisconsin, Madison, Wisconsin, USA.
  • Busch RM; Epilepsy Center, Cleveland Clinic, Cleveland, Ohio, USA.
  • Reyes A; University of California-San Diego, San Diego, California, USA.
  • Arrotta K; Epilepsy Center, Cleveland Clinic, Cleveland, Ohio, USA.
  • Fujikawa M; Tohoku University, Sendai, Japan.
  • Ives-Deliperi V; University of Cape Town, Cape Town, South Africa.
  • Dollman A; University of Cape Town, Cape Town, South Africa.
  • Shah U; King Edward Memorial Hospital, Mumbai, India.
  • McDonald CR; University of California-San Diego, San Diego, California, USA.
Epileptic Disord ; 26(5): 567-580, 2024 Oct.
Article em En | MEDLINE | ID: mdl-39141394
ABSTRACT
To present the background, rationale, details pertaining to use and essential computational steps, synopsis of findings to date, and future directions for the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE)-an initiative of the ILAE Neuropsychology Task Force. Examined are (a) the 6 steps leading to the derivation of a cognitive phenotype from neuropsychological test data with an accompanying case example, (b) concise review of all IC-CoDE research to date, (c) summary of identified correlates of IC-CoDE outcomes, and (d) future research and clinical directions for the initiative. The IC-CoDE is computationally uncomplicated with individual or group data and represents a novel approach leading to new insights in the neuropsychology of epilepsy, with applications to diverse datasets internationally informing the reliability and validity of the approach. The IC-CoDE represents a novel approach to the analysis and interpretation of neuropsychological data in epilepsy that offers to advance a global taxonomy of cognitive disorders in epilepsy facilitating international collaboration and big data science.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epilepsia Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Epilepsia Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article