Neurobehavioural comorbidities of epilepsy: towards a network-based precision taxonomy

神经病理学 癫痫 医学 神经影像学 认知 共病 神经心理学 精密医学 精神科 疾病 神经科学 数据科学 心理学 病理 计算机科学
作者
Bruce P. Hermann,Aaron F. Struck,Robyn M. Busch,Anny Reyes,Erik Kaestner,Carrie R. McDonald
出处
期刊:Nature Reviews Neurology [Nature Portfolio]
卷期号:17 (12): 731-746 被引量:106
标识
DOI:10.1038/s41582-021-00555-z
摘要

Cognitive and behavioural comorbidities are prevalent in childhood and adult epilepsies and impose a substantial human and economic burden. Over the past century, the classic approach to understanding the aetiology and course of these comorbidities has been through the prism of the medical taxonomy of epilepsy, including its causes, course, characteristics and syndromes. Although this 'lesion model' has long served as the organizing paradigm for the field, substantial challenges to this model have accumulated from diverse sources, including neuroimaging, neuropathology, neuropsychology and network science. Advances in patient stratification and phenotyping point towards a new taxonomy for the cognitive and behavioural comorbidities of epilepsy, which reflects the heterogeneity of their clinical presentation and raises the possibility of a precision medicine approach. As we discuss in this Review, these advances are informing the development of a revised aetiological paradigm that incorporates sophisticated neurobiological measures, genomics, comorbid disease, diversity and adversity, and resilience factors. We describe modifiable risk factors that could guide early identification, treatment and, ultimately, prevention of cognitive and broader neurobehavioural comorbidities in epilepsy and propose a road map to guide future research.
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