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Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies
Medicine and HealthMolecular Psychiatry

Functional connectivity signatures of major depressive disorder: machine learning analysis of two multicenter neuroimaging studies

S. Gallo, A. El-gazzar, et al.

This groundbreaking research by Selene Gallo and colleagues employed machine learning to uncover potential neurophysiological signatures of major depressive disorder (MDD) through fMRI data. Notably, the findings suggest thalamic hyperconnectivity as a key feature differentiating MDD patients from healthy controls, paving the way for new insights into depression diagnosis.... show more
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Citations
116
Influential Citations
7
Reference Count
79
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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