Deciphering Principles of Network Dynamics Underlying Depression Symptom Severity From Multi-day Intracranial Recordings in Patients With Major Depression
1 other identifier
observational
6
1 country
1
Brief Summary
Major depressive disorder (MDD) is common and causes significant disability world-wide. While typically responsive to medications and therapy, there remain a subset of patients who are treatment resistant. Novel approaches are critical to treat these patients. MDD is likely caused by dysfunction in distributed neural networks, a perspective consistent with the etiological and diagnostic heterogeneity of this disorder. While imaging and electroencephalography (EEG) have helped identify MDD circuitry, no consensus has been reached on the identification of diagnostic biomarkers. Furthermore, the dynamics of MDD circuitry in relation to symptom severity is unknown. Characterization of circuit signatures that define MDD symptom severity states and the extent to which these circuits are modifiable using electrical stimulation are critical for therapeutic advancement. Intracranial EEG (iEEG) offers a high spatial and temporal resolution method to study depression networks. For the first time, we have an unparalleled opportunity to study such circuits in MDD patients participating in a clinical trial of personalized responsive neurostimulation for treatment resistant depression (PRESIDIO). In stage 1 of this trial, participants are implanted with 160 electrodes from 10 sub-chronic intracranial leads across 10 brain sites for 10 days. The goal of this parent study stage is to optimize brain-site targeting for deep brain stimulation. In the current project, we will leverage the opportunity to study MDD circuit principles from cortical and deep brain structures over a multi-day time period. In this ancillary study to the parent clinical trial, we carry out a set of experiments that establish basic principles of network dynamics underlying MDD from direct neural recordings. This study is organized around the principal concept that brain circuit dysfunction is reflected in abnormal signatures of functional connectivity and rhythmic local-field activity. This concept is supported by our pilot work where we found evidence of distinct MDD networks characterized by functional connectivity and spectral activity. This project builds on our preliminary findings in two aims. In Aim 1, we characterize state-dependent functional connectivity and spectral activity in relation to symptom severity. In Aim 2, we will examine the manner and time course in which targeted electrical stimulation acutely modifies circuits. Together, this research will yield the first characterization of connectivity and activity dynamics in MDD over a multi-day period from direct neural recordings. This rare insight into MDD circuity provided by this novel dataset establishes proof-of-concept principles for biomarker development and therapeutic target selection that could critically advance personalized MDD treatments.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jan 2021
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2021
CompletedFirst Submitted
Initial submission to the registry
November 16, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedFirst Posted
Study publicly available on registry
May 1, 2025
CompletedMay 1, 2025
April 1, 2025
4 years
November 16, 2023
April 29, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Network Connectivity and Activity Pattern: Relationship to Symptom Severity and Impact of Neurostimulation
The pattern of network connectivity and activity that is associated with symptom severity and the effect of intracranial electrical stimulation on the connectivity and activity pattern.
Up to 10 days
Study Arms (1)
All Subjects
No treatment is being administered in this study. Direct neural electrical stimulation is being administered across a large number of sites in the corticolimbic network in order to determine its effects on neural network electrical activity and connectivity.
Interventions
We are not delivering treatment in this study. Direct neural electrical stimulation is being administered to determine its effect on neural circuit activity and connectivity.
Eligibility Criteria
6 Individuals meeting the inclusion/exclusion criteria who are participating in the PRESIDIO trial of personalized intracranial closed-loop stimulation for treatment of treatment-resistant major depression.
You may qualify if:
- Meet Diagnostic and Statistical Manual-V (DSM-V) diagnostic criteria for Major Depressive Disorder (MDD) without psychosis based on a Structured Clinical Interview for DSM-V (SCID)
- Current episode ≥ 2 years
- Treatment-resistant (4 adequate trials including electroconvulsive therapy (ECT)), 3 classes of medications, one augmentation strategy, psychotherapy) as measured by the antidepressant treatment history form (ATHF)
- Failed ECT due to inability to achieve sustained response (2 failed attempts to discontinue ECT treatment) or discontinued due to intolerable side effects
- Montgomery Asberg Depression Rating Scale (MADRS) score of \> 26 at both baseline and screening visit
- Presence of variability on repeated administrations of depression rating scales (minimum of 2-point variation on the HAMD-6 administered 3 times a day for 3 days), which is required for the identification of a neural biomarker
- No changes to psychotropic medication regimen during the 4 weeks prior to entry into and the duration of the study
- Willing and able to undergo invasive brain recording/stimulation study
- Willing and able to attend multiple research visits and perform at-home research protocol
- Willing and able to provide informed consent
- Ability to speak and read English
You may not qualify if:
- Meets DSM-V criteria for a psychotic disorder, eating disorder, panic disorder, posttraumatic stress disorder, bipolar disorder, obsessive compulsive disorder, tic disorder, or another comorbid psychiatric disorder other than MDD or generalized anxiety disorder based on a SCID
- Generalized anxiety disorder is the primary DSM-V disorder during the current MDD episode
- Active suicidal ideation with intent and plan as defined by a score of 5 on the Columbia suicide severity rating scale (C-SSRS)
- History of suicide attempt requiring hospitalization in previous 2 years
- Meets criteria for alcohol or substance abuse or dependence (other than caffeine) in previous 6 months, determined by the SCID
- Has a personality disorder based on the investigator's assessment that the investigator believes will adversely impact subject compliance or safety
- Fibromyalgia or chronic fatigue syndrome
- Current condition requiring chronic narcotic use
- History of traumatic brain injury, another neurological disorder, or developmental delay
- History of seizures
- MRI (done within one year of the first visit) with significant abnormalities
- Previous ablative intracranial surgery or previously implanted deep brain stimulation system or any previously implanted device treatment involving brain stimulation
- Implantable hardware not compatible with MRI or with the study
- Major medical co-morbidities increasing the risk of surgery including severe diabetes, major organ system failure, history of hemorrhagic stroke, need for chronic anticoagulation other than aspirin, active infection, intracranial space occupying lesion, increased intracranial pressure, cardiovascular accident within the last month, aneurysm abnormality, retinal detachment, unstable cardiovascular disease (recent MI, severe ischemia, severe or uncontrolled hypertension), immunocompromised state, or malignancy with \< 5 years life expectancy
- Inability to stop Coumadin or platelet anti-aggregation therapy for surgery and after surgery
- +8 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UCSF
San Francisco, California, 94143, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Andrew Krystal, MD, MS
University of California, San Francisco
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 16, 2023
First Posted
May 1, 2025
Study Start
January 1, 2021
Primary Completion
December 31, 2024
Study Completion
December 31, 2024
Last Updated
May 1, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will share
- Time Frame
- We will release and share data in a timely manner, with the date of release to be no later than acceptance for publication of our main findings from our final data set.
All the values of the variables for all published findings, will be added to a data archive. This data archive will be free of identifiers that would permit linkages to individual research participants and variables that could lead to deductive disclosure of the identity of individual subjects. The data will be accompanied by a file including documentation of the data archive including information about the methodology and procedures used to collect the data, definitions of variables, and variable field locations. This file will also state the requirement that users submit an email notification of the intent to access the data and that any publications using these data acknowledge the source of the data. Should any intellectual property arise from the proposed study that may be patentable, UCSF will ensure that the related technology remains widely available in timely fashion to the research community in compliance with policies and regulations governing research awards from the NIH