Aperiodic (1/f) Neural Activity Robustly Tracks Symptom Severity Changes in Treatment-Resistant Depression

Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Feb;10(2):186-194. doi: 10.1016/j.bpsc.2024.10.019. Epub 2024 Nov 14.

Abstract

Background: A reliable physiological biomarker for major depressive disorder is essential for developing and optimizing neuromodulatory treatment paradigms. In this study, we investigated a passive electrophysiologic biomarker that tracks changes in depressive symptom severity on the order of minutes to hours.

Methods: We analyzed brief recordings from intracranial electrodes implanted deep in the brain during a clinical trial of deep brain stimulation for treatment-resistant depression in 5 human participants (nfemale = 3, nmale = 2). This surgical setting allowed for precise temporal and spatial sensitivity in the ventromedial prefrontal cortex, a challenging area to measure. We focused on the aperiodic slope of the power spectral density, a metric that reflects the balance of activity across all frequency bands and may serve as a proxy for excitatory/inhibitory balance in the brain.

Results: Our findings demonstrated that shifts in aperiodic slope correlated with depression severity, with flatter (less negative) slopes indicating reduced depression severity. This significant correlation was observed in all 5 participants, particularly in the ventromedial prefrontal cortex.

Conclusions: This biomarker offers a new way to track patient responses to major depressive disorder treatment, thus paving the way for individualized therapies in both intracranial and noninvasive monitoring contexts.

Keywords: Biomarker; DBS; Electrophysiology; Intracranial; MDD; Slope.

MeSH terms

  • Adult
  • Deep Brain Stimulation / methods
  • Depressive Disorder, Treatment-Resistant* / physiopathology
  • Depressive Disorder, Treatment-Resistant* / therapy
  • Electrodes, Implanted
  • Female
  • Humans
  • Major Depressive Disorder* / physiopathology
  • Major Depressive Disorder* / therapy
  • Male
  • Middle Aged
  • Prefrontal Cortex* / physiopathology
  • Severity of Illness Index