Model-based assessment of race, sex, and electrode montage in ECT
Niranjan Khadka, Yu Huang, Zhi‐De Deng…·Abhishek Datta
This study assesses how race, sex, and electrode montage affect brain-wide current flow during ECT using computational models.
Author
Chinese Academy of SciencesORCID 0000-0002-3495-9549Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
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Niranjan Khadka, Yu Huang, Zhi‐De Deng…·Abhishek Datta
This study assesses how race, sex, and electrode montage affect brain-wide current flow during ECT using computational models.
Yatong Wen, Mo Wang, Xinwen Dong…·Yonghui Li
This study uses theta-band tTIS to target the dACC and shows it modulates neural gain of prediction error encoding during reward processing.
Yingjie Peng, Xiaohan Tian, Yini He…·Ang Li
PI-FC uses state-invariant contrastive learning to extract stable individual brain signatures from fMRI, improving phenotypic prediction accuracy and reducing scanning time across multiple datasets.
Libo Zhang, Xuejing Lu, Hui-Juan Zhang…·Li Hu
The paper identifies replicable fMRI correlates of pain sensitivity across multiple pain types and develops a machine learning model to predict pain sensitivity and intervention outcomes.
Miao Zhao, Li Zhang, Zhenhua Chen…·Peng Cao
The paper identifies Cbln2-expressing neurons in the posterior hypothalamic nucleus as essential for inducing panic-like defensive state in mice.