Anterior default mode network and posterior insular connectivity is predictive of depressive symptom reduction following serial ketamine infusion.
Psychological medicine September 1, 2022 Benjamin S C Wade, Joana Loureiro, Ashish Sahib et al. 18 citations
Before serial ketamine infusion, brain structure, function, and connectivity measures predicted how much depressive symptoms changed afterward. In 60 patients with depression, machine learning models using pretreatment MRI scans explained 19% of variance in core mood and anhedonia symptoms, 27% in a depression subscale, and 1% in rumination reflection. Greater connectivity in the right medial prefrontal cortex, anterior cingulate, and posterior insula, along with lower kurtosis of a white-matter tract, predicted larger symptom reductions. Connectivity of the left posterior cingulate, left insula, and right superior parietal lobule predicted changes in rumination. These findings suggest that anterior default mode network and posterior insula connectivity may serve as biomarkers for antidepressant response.