Literature DB >> 27067127

Effect of Electroconvulsive Therapy on Striatal Morphometry in Major Depressive Disorder.

Benjamin S C Wade1, Shantanu H Joshi2, Stephanie Njau2, Amber M Leaver2, Megha Vasavada2, Roger P Woods2,3, Boris A Gutman1, Paul M Thompson1, Randall Espinoza3, Katherine L Narr2,3.   

Abstract

Patients with major depression show reductions in striatal and paleostriatal volumes. The functional integrity and connectivity of these regions are also shown to change with antidepressant response. Electroconvulsive therapy (ECT) is a robust and rapidly acting treatment for severe depression. However, whether morphological changes in the dorsal and ventral striatum/pallidum relate to or predict therapeutic response to ECT is unknown. Using structural MRI, we assessed cross-sectional effects of diagnosis and longitudinal effects of ECT for volume and surface-based shape metrics of the caudate, putamen, pallidum, and nucleus accumbens in 53 depressed patients (mean age: 44.1 years, 13.8 SD; 52% female) and 33 healthy controls (mean age: 39.3 years, 12.4 SD; 57% female). Patients were assessed before ECT, after their second ECT, and after completing an ECT treatment index. Controls were evaluated at two time points. Support vector machines determined whether morphometric measures at baseline predicted ECT-related clinical response. Patients showed smaller baseline accumbens and pallidal volumes than controls (P<0.05). Increases in left putamen volume (P<0.03) occurred with ECT. Global increases in accumbens volume and local changes in pallidum and caudate volume occurred in patients defined as treatment responders. Morphometric changes were absent across time in controls. Baseline volume and shape metrics predicted overall response to ECT with up to 89% accuracy. Results support that ECT elicits structural plasticity in the dorsal and ventral striatum/pallidum. The morphometry of these structures, forming key components of limbic-cortical-striatal-pallidal-thalamic circuitry involved in mood and emotional regulation, may determine patients likely to benefit from treatment.

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Year:  2016        PMID: 27067127      PMCID: PMC4987846          DOI: 10.1038/npp.2016.48

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  49 in total

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3.  Attenuated serotonin transporter association between dorsal raphe and ventral striatum in major depression.

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  25 in total

1.  DATA-DRIVEN CLUSTER SELECTION FOR SUBCORTICAL SHAPE AND CORTICAL THICKNESS PREDICTS RECOVERY FROM DEPRESSIVE SYMPTOMS.

Authors:  Benjamin S C Wade; Jing Sui; Stephanie Njau; Amber M Leaver; Megha Vasvada; Boris A Gutman; Paul M Thompson; Randal Espinoza; Roger P Woods; Christopher C Abbott; Katherine L Narr; Shantanu H Joshi
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2017-06-19

2.  The antidepressant efficacy of subanesthetic-dose ketamine does not correlate with baseline subcortical volumes in a replication sample with major depressive disorder.

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3.  The Application of a Machine Learning-Based Brain Magnetic Resonance Imaging Approach in Major Depression.

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Review 4.  [Neuronal effects and biomarkers of antidepressant treatments : Current review from the perspective of neuroimaging].

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5.  Social anhedonia in major depressive disorder: a symptom-specific neuroimaging approach.

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6.  Cortisol trajectory, melancholia, and response to electroconvulsive therapy.

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7.  SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets.

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8.  Brain Volumetric Correlates of Right Unilateral Versus Bitemporal Electroconvulsive Therapy for Treatment-Resistant Depression.

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Review 10.  The Neurobiological Effects of Electroconvulsive Therapy Studied Through Magnetic Resonance: What Have We Learned, and Where Do We Go?

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