• Renske Oegema
  • Tahsin Stefan Barakat
  • Martina Wilke
  • Dina Amrom
  • Eleonora Aronica
  • Nadia Bahi-Buisson
  • Valerio Conti
  • Andrew E Fry
  • Tobias Geis
  • David Gomez Andres
  • Elena Parrini
  • Ivana Pogledic
  • Edith Said
  • Doriette Soler
  • Luis M Valor
  • Maha S Zaki
  • Ghayda Mirzaa
  • William B Dobyns
  • Orly Reiner
  • Renzo Guerrini
  • Daniela T Pilz
  • Ute Hehr
  • Richard J Leventer
  • Grazia M S Mancini
  • Nataliya Di Donato

Malformations of cortical development (MCDs) are neurodevelopmental disorders that result from abnormal development of the cerebral cortex in utero. MCDs place a substantial burden on affected individuals, their families and societies worldwide, as these individuals can experience lifelong drug-resistant epilepsy, cerebral palsy, feeding difficulties, intellectual disability and other neurological and behavioural anomalies. The diagnostic pathway for MCDs is complex owing to wide variations in presentation and aetiology, thereby hampering timely and adequate management. In this article, the international MCD network Neuro-MIG provides consensus recommendations to aid both expert and non-expert clinicians in the diagnostic work-up of MCDs with the aim of improving patient management worldwide. We reviewed the literature on clinical presentation, aetiology and diagnostic approaches for the main MCD subtypes and collected data on current practices and recommendations from clinicians and diagnostic laboratories within Neuro-MIG. We reached consensus by 42 professionals from 20 countries, using expert discussions and a Delphi consensus process. We present a diagnostic workflow that can be applied to any individual with MCD and a comprehensive list of MCD-related genes with their associated phenotypes. The workflow is designed to maximize the diagnostic yield and increase the number of patients receiving personalized care and counselling on prognosis and recurrence risk.

Original languageEnglish
JournalNature Reviews. Neurology
DOIs
Publication statusE-pub ahead of print - 7 Sep 2020

ID: 53859992