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Mapping Effective Connectivity by Virtually Perturbing a Surrogate Brain by Zixiang Luo & Kaining Peng & Zhichao Liang & Shengyuan Cai & Chenyu Xu & Dan Li & Yu Hu & Changsong Zhou & Quanying Liu is a book available to read on EtoBox.

What is Mapping Effective Connectivity by Virtually Perturbing a Surrogate Brain about?

Nature Methods, doi:10.1038/s41592-025-02654-xEfective connectivity (EC), which refects the causal interactions between brain regions, is fundamental to understanding information processing in the brain; however, traditional methods for obtaining EC, which rely on neural responses to stimulation, are often invasive or limited in spatial coverage, making them unsuitable for whole-brain EC mapping in humans. Here, to address this gap, we introduce Neural Perturbational Inference (NPI), a data-driven framework for mapping whole-brain EC. NPI employs an artifcial neural network trained to model large-scale neural dynamics, serving as a computational surrogate of the brain. By systematically perturbing all regions in the surrogate brain and analyzing the resulting responses in other regions, NPI maps the directionality, strength and excitatory/inhibitory properties of brain-wide EC. Validation of NPI on generative models with known ground-truth EC demonstrates its superiority over existing methods such as Granger causality and dynamic causal modeling. When applied to resting-state functional magnetic resonance imaging data across diverse datasets, NPI reveals consistent, structurally su

Author

Zixiang Luo & Kaining Peng & Zhichao Liang & Shengyuan Cai & Chenyu Xu & Dan Li & Yu Hu & Changsong Zhou & Quanying Liu

Publisher

x

Published

2025

Language

EN