ArticleBiological psychiatry2023
Decoding Depression Severity From Intracranial Neural Activity.
Article in Biological psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 48 citations in OpenAlex.
- Human intracranial signal stability tracks anatomical accuracy after electrode reimplantation.Journal of neural engineering · 2026Trial
- Trial
- State-Dependent Modulation of a Theta-Responsive Subnetwork by High-Frequency Stimulation of the Ventral Striatum.Neuroscience bulletin · 2026Article
- Aperiodic and oscillatory activity of the human brain during induced emotional states.medRxiv : the preprint server for health sciences · 2026Article
- Invasive neurophysiology and whole brain connectomics for neural decoding in patients with brain implants.Nature biomedical engineering · 2026Article
- Common Electrophysiology Biomarkers Collected at Home Robustly Track Depression Recovery With Deep Brain Stimulation.medRxiv : the preprint server for health sciences · 2026Article
- A modular, high-bandwidth, bidirectional implantable device for neural interrogation.bioRxiv : the preprint server for biology · 2026Article
- Combinatorial effects of multi-site stimulation on depression-related brain regions: clinical data analysis and predictive modeling.Frontiers in psychiatry · 2026Article
- Distinct neural temporal architectures encode rapid social expressions and sustained internal mood states.bioRxiv : the preprint server for biology · 2025Article
- Circuit-Based Approaches to Understanding the Anterior Cingulate Cortex (ACC).The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- A pilot study of inter-regional phase amplitude coupling as comorbid depression biomarker in temporal lobe epilepsy.Epilepsy & behavior : E&B · 2025Article
- Intracranial directed connectivity links subregions of the prefrontal cortex to major depression.Nature communications · 2025Article
- Electroencephalography Biomarkers of α5-GABA Positive Allosteric Modulators in Rodents.Biological psychiatry global open science · 2025Article
- Aperiodic (1/f) Neural Activity Robustly Tracks Symptom Severity Changes in Treatment-Resistant Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Intracranial closed-loop neuromodulation as an intervention for neuropsychiatric disorders: an overview.Frontiers in psychiatry · 2025Review
- Establishing connectivity through microdissections of midbrain stimulation-related neural circuits.Brain : a journal of neurology · 2024Article
- Intracranial Directed Connectivity Links Subregions of the Prefrontal Cortex to Major Depression.medRxiv : the preprint server for health sciences · 2024Article
- Brain-computer interfaces for neuropsychiatric disorders.Nature reviews bioengineering · 2024Article
- Beta activity in human anterior cingulate cortex mediates reward biases.Nature communications · 2024Article
- Insula uses overlapping codes for emotion in self and others.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
- Commented on by
- Erratum issuedErratum.2024
Authors and funding
21 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundDisorders of mood and cognition are prevalent, disabling, and notoriously difficult to treat. Fueling this challenge in treatment is a significant gap in our understanding of their neurophysiological basis.
methodsWe recorded high-density neural activity from intracranial electrodes implanted in depression-relevant prefrontal cortical regions in 3 human subjects with severe depression. Neural recordings were labeled with depression severity scores across a wide dynamic range using an adaptive assessment that allowed sampling with a temporal frequency greater than that possible with typical rating scales. We modeled these data using regularized regression techniques with region selection to decode depression severity from the prefrontal recordings.
resultsAcross prefrontal regions, we found that reduced depression severity is associated with decreased low-frequency neural activity and increased high-frequency activity. When constraining our model to decode using a single region, spectral changes in the anterior cingulate cortex best predicted depression severity in all 3 subjects. Relaxing this constraint revealed unique, individual-specific sets of spatiospectral features predictive of symptom severity, reflecting the heterogeneous nature of depression.
conclusionsThe ability to decode depression severity from neural activity increases our fundamental understanding of how depression manifests in the human brain and provides a target neural signature for personalized neuromodulation therapies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.