Brain activity patterns in high-throughput electrophysiology screen predict both drug efficacies and side effects

作者：Eimon Peter M^*; Ghannad Rezaie Mostafa; De Rienzo Gianluca; Allalou Amin; Wu Yuelong; Gao Mu; Roy Ambrish; Skolnick Jeffrey; Yanik Mehmet Fatih^*

来源：Nature Communications, 2018, 9(1): 219.

DOI：10.1038/s41467-017-02404-4

Neurological drugs are often associated with serious side effects, yet drug screens typically focus only on efficacy. We demonstrate a novel paradigm utilizing high-throughput in vivo electrophysiology and brain activity patterns (BAPs). A platform with high sensitivity records local field potentials (LFPs) simultaneously from many zebrafish larvae over extended periods. We show that BAPs from larvae experiencing epileptic seizures or drug-induced side effects have substantially reduced complexity (entropy), similar to reduced LFP complexity observed in Parkinson's disease. To determine whether drugs that enhance BAP complexity produces positive outcomes, we used light pulses to trigger seizures in a model of Dravet syndrome, an intractable genetic epilepsy. The highest-ranked compounds identified by BAP analysis exhibit far greater anti-seizure efficacy and fewer side effects during subsequent in-depth behavioral assessment. This high correlation with behavioral outcomes illustrates the power of brain activity pattern-based screens and identifies novel therapeutic candidates with minimal side effects.

• 出版日期2018-1-15
• 单位MIT