Overview of the MDD big data-guided individualized TMS targeting algorithm (IMAGE)

Science China Press

Overview of the MDD big data-guided individualized TMS targeting algorithm

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Using a large multi-site dataset comprising 1,660 patients with major depressive disorder (MDD) and 1,340 healthy controls (HCs), researchers identified group-level differences in functional connectivity between the subgenual anterior cingulate cortex (sgACC) and other brain regions. These statistical maps were then combined with individual resting-state fMRI data to generate personalized TMS targets in the dorsolateral prefrontal cortex (DLPFC), aiming to improve treatment efficacy.

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