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Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
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Depression Remission Over Six Months Characterized by Elevated Target-Locked P300 ERP Component: Prospective Evidence

Nicholas J Santopetro1, Brittney Thompson1, Brian Albanese2

  • 1Department of Psychology, Florida State University, Tallahassee, Florida, USA.

Psychophysiology
|May 9, 2025
PubMed
Summary

A larger P300 event-related potential (ERP) amplitude in adults with depression predicted remission after six months. This suggests P300 may indicate neural vulnerability to chronic depression.

Keywords:
ERPP300depressionprospectiveremission

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Science

Background:

  • Depression involves cognitive and motivational neural system dysfunction.
  • Reduced P300 event-related potential (ERP) amplitude is linked to depression, potentially reflecting attentional and decision-making deficits.
  • Limited prospective research exists on the P300-depression relationship's temporal dynamics.

Purpose of the Study:

  • To investigate the association between baseline P300 amplitude and depression remission over six months.
  • To explore P300's predictive value for depression course in adults with current depressive disorders.

Main Methods:

  • Utilized an affective visual oddball paradigm to elicit P300.
  • Assessed P300 amplitude at baseline in 48 adults diagnosed with depressive disorders.
  • Tracked depression remission status at a six-month follow-up.

Main Results:

  • A larger baseline P300 amplitude to target stimuli predicted depression remission at six months.
  • No significant differences in P300 amplitude were found for distractor or standard stimuli.
  • Findings suggest P300 may be a trait marker for cognitive/motivational deficits in depression.

Conclusions:

  • Reduced P300 amplitude to imperative stimuli may indicate a neural vulnerability.
  • This vulnerability could be associated with a higher risk of depression relapse and chronicity.
  • P300 offers potential as a biomarker for predicting depression outcomes.