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Increased Aperiodic Exponents Track Depression Symptom Severity.

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Summary
This summary is machine-generated.

The aperiodic exponent in brain activity may serve as a novel biomarker for major depressive disorder (MDD) symptom severity. This neurophysiological marker could help guide treatment selection for treatment-resistant depression.

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Area of Science:

  • Neuroscience
  • Computational Psychiatry
  • Biomarkers

Background:

  • Major depressive disorder (MDD) affects one-third of patients, leading to treatment resistance.
  • Current diagnostic methods rely on subjective behavioral assessments, lacking objective neurophysiological markers.
  • Identifying brain-based biomarkers is crucial for guiding treatment selection and tracking therapeutic response in real-time.

Purpose of the Study:

  • To investigate the potential of the aperiodic exponent in intracranial EEG (iEEG) as a neurophysiological marker for depression symptom severity.
  • To determine if the aperiodic exponent can differentiate between minimal and elevated depressive symptoms.
  • To explore the association between the aperiodic exponent and specific symptom dimensions of depression.

Main Methods:

  • Utilized iEEG data from 20 patients with refractory epilepsy, analyzing over 1,800 contacts.
  • Estimated the aperiodic exponent (reflecting cortical excitability) across 10-100 Hz in local brain regions and cortical networks.
  • Correlated aperiodic exponents with Beck Depression Inventory-II (BDI-II) scores using ordinary least squares regression.

Main Results:

  • The whole-brain mean aperiodic exponent distinguished between minimal and elevated depression symptoms (AUC = 0.82).
  • Higher exponents were observed in the orbitofrontal cortex, anterior cingulate cortex, insula, and amygdala in the elevated depression group.
  • Aperiodic exponents positively correlated with BDI-II scores in these regions and in the Salience and Default networks, with the Salience network tracking anhedonia symptoms.

Conclusions:

  • Intracranial aperiodic exponents in fronto-limbic and insular circuits are associated with depression symptom status and severity.
  • The aperiodic exponent shows promise as a candidate neurophysiological marker for current depression burden.
  • This marker has potential implications for personalized neuromodulation strategies in MDD treatment.