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Shantanu H Joshi

Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, CA, USA.

4 papers in the library · 149 citations · publishing 2016-2022

Papers

Structural connectivity and response to ketamine therapy in major depression: A preliminary study.

Journal of affective disorders January 15, 2016 Megha M Vasavada, Amber M Leaver, Randall T Espinoza et al. 58 citations

In patients with major depressive disorder, differences in brain white matter structure before ketamine treatment may predict who will respond to the drug 24 hours later. Using diffusion imaging in 10 patients, those who showed more than 50% symptom improvement had greater fractional anisotropy in the cingulum and forceps minor pathways compared to non-responders. Non-responders also had lower fractional anisotropy and higher radial and mean diffusivity in these pathways compared to healthy controls, and they had an earlier age of depression onset and longer current episode. These preliminary findings suggest that the structural integrity of emotion-related brain networks may influence ketamine's antidepressant effect.

Modulation of inhibitory control networks relate to clinical response following ketamine therapy in major depression.

Translational psychiatry July 30, 2020 Ashish K Sahib, Joana Ra Loureiro, Megha M Vasavada et al. 37 citations

Ketamine produces rapid antidepressant effects even in people with treatment-resistant depression, but how it alters brain function is not fully understood. In this study, 47 patients with treatment-resistant depression and 32 healthy controls performed a brain-imaging task measuring response inhibition. After one and then four intravenous ketamine infusions, 37 patients repeated the task. Brain activation decreased in regions involved in inhibitory control, including prefrontal and parietal areas and visual cortex, following repeated treatment. Patients who achieved remission had lower activation in the supplementary motor area before treatment, which then normalized toward control levels after ketamine. These changes in the supplementary motor area during response inhibition were linked to reduced depressive symptoms and may predict treatment outcome.

Modulation of the functional connectome in major depressive disorder by ketamine therapy.

Psychological medicine October 1, 2022 Ashish K Sahib, Joana R Loureiro, Megha Vasavada et al. 36 citations

Ketamine infusion therapy can rapidly relieve depression, but its effects on whole-brain functional connections are not well understood. In patients with major depressive disorder (MDD), baseline resting-state functional connectivity (FC) differed from healthy controls in the somatomotor network and between association and default mode networks. After one and four ketamine infusions, these disrupted FC patterns trended toward those of controls. Serial ketamine treatment significantly decreased FC between the cerebellum and the salience network. Patients who remitted showed higher pre-treatment FC between the cerebellum and striatum that decreased after treatment, while non-remitters showed the opposite pattern. Ketamine induces neurofunctional plasticity in cortico-striatal-cerebellar loops involving the salience network, which may serve as a biomarker for treatment response.

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.