ArticleBiological psychiatry. Cognitive neuroscience and neuroimaging2025
Aperiodic (1/f) Neural Activity Robustly Tracks Symptom Severity Changes in Treatment-Resistant Depression.
Article in Biological psychiatry. Cognitive neuroscience and neuroimaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- Prefrontal-bed nucleus of the stria terminalis physiological and neuropsychological biomarkers predict therapeutic outcomes in depression.Nature communications · 2025Trial
- Brain rhythms of depression: A predictive processing perspective.Trends in neurosciences · 2026Review
- Gamma and beta power and the 1/f slope vary across a spectrum of depression severity.Translational psychiatry · 2026Article
- Electrophysiological features of signals recorded from white matter.bioRxiv : the preprint server for biology · 2026Article
- Aperiodic and oscillatory activity of the human brain during induced emotional states.medRxiv : the preprint server for health sciences · 2026Article
- Schizophrenia recognition via eye movement features in video paradigm.European archives of psychiatry and clinical neuroscience · 2026Article
- Increased Aperiodic Exponents Track Depression Symptom Severity.bioRxiv : the preprint server for biology · 2026Article
- Ketamine alters the aperiodic EEG exponent in major depression: implications for cortical E/I balance and treatment prediction.Therapeutic advances in psychopharmacology · 2026Article
- Power Spectral Slope as a Novel Brain Functional Marker for Major Depressive Disorder.Biological psychiatry global open science · 2026Article
- Alterations in aperiodic neural activity associated with major depressive disorder.Nature. Mental health · 2025Article
Corrections and comments
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Authors and funding
27 authors.
Funding
Abstract
backgroundA 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.
methodsWe 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 (n
resultsOur 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.
conclusionsThis 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.
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Registered trials
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