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. 2023 Jan 23;14:1102413. doi: 10.3389/fphar.2023.1102413

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Copyright © 2023 Fu, Abbott, Sui and Calhoun.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Flowchart of the prediction analyses. To examine whether ECT-induced antidepressant outcomes and cognitive changes have neural representations on static and dynamic functional connectivity, we develop separate predictive models for HDRS and HVLT based on the sFNC features and global dynamism features and examine their weight maps at connection and functional domain levels. (A) Templates construction and individual network estimation. (B) Static functional network connectivity (sFNC) features. (C) Dynamic functional network connectivity (dFNC) features. (D) Prediction of ECT outcomes.