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Related Experiment Video

Updated: Sep 29, 2025

A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
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Effective connectivity between resting-state networks in depression.

Dana DeMaster1, Beata R Godlewska2, Mingrui Liang3

  • 1Children's Learning Institute, Department of Pediatrics, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA.

Journal of Affective Disorders
|March 25, 2022
PubMed
Summary
This summary is machine-generated.

Brain connectivity patterns in major depressive disorder (MDD) predict antidepressant response. Resting-state effective connectivity (rsEC) in key brain networks may guide personalized treatment for depression.

Keywords:
DepressionEffective connectivityEscitalopramResting state fMRITreatment response

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Major depressive disorder (MDD) research often overlooks brain region interactions.
  • Understanding brain network connectivity is crucial for developing effective antidepressant treatments and predicting individual responses.

Purpose of the Study:

  • To identify pre-treatment resting-state effective connectivity (rsEC) patterns in patients with MDD.
  • To explore the relationship between rsEC patterns and treatment response to escitalopram.

Main Methods:

  • Thirty-four drug-free MDD patients underwent MRI scans.
  • Patients received 6 weeks of daily escitalopram (10 mg).
  • Treatment response was defined as a ≥50% decrease in Hamilton Depression Rating Scale (HAMD) scores.

Main Results:

  • rsEC networks within the default mode, central executive, and salience networks were identified in MDD patients.
  • Higher connectivity strength correlated with baseline depression severity.
  • Connectivity strength was also associated with treatment response.

Conclusions:

  • Widespread dysfunction in rsEC was observed in depression.
  • Functional rsEC shows potential as a predictive biomarker for antidepressant treatment response.
  • Further validation in larger, placebo-controlled studies is warranted.