Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
Stephanie C. Page, Srinidhi Rao Sripathy, Federica Farinelli, Zengyou Ye, Yanhong Wang, Daniel J. Hiler, Elizabeth A. Pattie, Claudia V. Nguyen, Madhavi Tippani, Rebecca L. Moses, Huei-Ying Chen, Matthew Nguyen Tran, Nicholas J. Eagles, Joshua M. Stolz, Joseph L Catallini II, , Brady J. Maher
The paper identifies electrophysiological measures in hiPSC-derived neurons linked to schizophrenia diagnosis and cognitive performance.
Proceedings of the National Academy of Sciences · Jan 11, 2022Peer-reviewedNeuroscience