Electrophysiological predictors of early response to antidepressants in major depressive disorder

Hao Tang1, Yi Xia1, Lingling Hua1

  • 1Department of Psychiatry, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing 210029, China.

PubMed
Abstract

Insights

Psychomotor retardation in major depressive disorder (MDD) is linked to poor antidepressant response. Specific motor network abnormalities detected via magnetoencephalography (MEG) can predict treatment outcomes in MDD patients.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Biomarkers

Background:

  • Psychomotor retardation (PMR) is a key symptom of major depressive disorder (MDD), affecting motor control and cognition.
  • PMR in MDD is associated with a diminished response to antidepressant treatments.
  • The precise neural underpinnings linking PMR to treatment outcomes in MDD are not fully understood.

Purpose of the Study:

  • To investigate electrophysiological biomarkers associated with poor antidepressant response in MDD patients.
  • To explore the relationship between motor network function and treatment outcomes in depression.

Main Methods:

  • Magnetoencephalography (MEG) was used to record brain activity in 93 MDD patients and 49 healthy controls (HCs) during a visuomotor task.
  • Motor-related beta desynchronization (MRBD) and functional connectivity within the motor network were measured.
  • Antidepressant response was defined as a ≥50% reduction in symptom severity after treatment.

Main Results:

  • Non-responders exhibited increased MRBD and reduced inter- and intra-hemispheric functional connectivity in the motor network compared to responders and HCs.
  • These motor network dysregulations were found to predict antidepressant treatment response.
  • Abnormalities in local motor network activity and connectivity were observed in patients with poor treatment outcomes.

Conclusions:

  • Altered motor network activity and connectivity are indicative of poor psychomotor function in MDD.
  • These neural characteristics may contribute to reduced sensitivity to antidepressant therapies.
  • Electrophysiological markers in the motor network show potential for predicting antidepressant treatment response in MDD.