The impaired inhibition of negative information in patients with major depressive disorder based on event-related

Zhaoxia Liu1, Wanrong Peng1, Kaili Zheng1

  • 1Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, 410011, China; Medical Psychological Institute, Central South University, Changsha, 410011, China.

Insights

Major depressive disorder (MDD) patients show deficits in inhibiting negative information. Event-related potentials (ERPs) reveal impaired conflict monitoring and response inhibition, potentially serving as neurophysiological markers for MDD.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Psychology

Background:

  • Major depressive disorder (MDD) is associated with difficulties in regulating emotional information processing.
  • Investigating cognitive control deficits, specifically inhibition of negative information, is crucial for understanding MDD pathophysiology.

Purpose of the Study:

  • To determine if individuals with MDD exhibit deficits in inhibiting negative information.
  • To assess the potential of event-related potentials (ERPs) as neurophysiological markers for identifying MDD.

Main Methods:

  • Sixty MDD patients and 60 healthy controls (HC) completed an emotional Go/Nogo task while ERPs were recorded.
  • Least absolute shrinkage and selection operator (LASSO) regression filtered significant ERP signals.
  • A support vector machine (SVM) classifier distinguished between MDD patients and HC.

Main Results:

  • MDD patients demonstrated lower accuracy and longer reaction times compared to HC.
  • MDD patients showed reduced N2 and P3 amplitudes in negative Nogo trials.
  • Analysis revealed shorter Nd2 latency and lower Pd3 amplitude in MDD, indicating impaired conflict monitoring and response inhibition.

Conclusions:

  • MDD is characterized by impaired inhibition of negative information, linked to deficits in early conflict monitoring and late response inhibition.
  • ERPs, particularly N2 and P3 components, show promise as neurophysiological markers for identifying MDD in young adults.

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