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Life sciences · Interventional Study
ClinicalTrials.gov · September 15, 2026
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Interventional Study.
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Registry record from ClinicalTrials.gov (NCT05152992). This is a study registration, not published results. Lead sponsor: University of California, San Francisco. Recruitment status: COMPLETED. Phase: NA. Study type: INTERVENTIONAL. Enrollment: 70 participants (ACTUAL). Conditions: Epilepsy, Depression, Anxiety, Emotions. Interventions: BEHAVIORAL: Viewing visual stimuli and electrical stimulation of the brain. Primary outcome measures: Mean Change from Baseline in Heart Rate , During inpatient hospitalization, approximately 4-14 days; Mean Change from Baseline in Respiratory Rate , During inpatient hospitalization, approximately 4-14 days; Mean change from Baseline in Electrodermal Activity , During inpatient hospitalization, approximately 4-14 days; Mean Facial Expression Activity , During inpatient hospitalization, approximately 4-14 days; Mean Change from Baseline in Neural Activity within the Emotion Network , During inpatient hospitalization, approximately 4-14 days. Brief summary: The overall goal of this study is to elucidate how emotion network dynamics relate to the behavioral, autonomic, and experiential changes that accompany emotions and to investigate how emotion network dysfunction relates to affective symptoms. Affective symptoms are a common feature of neuropsychiatric disorders that reflect dysfunction in a distributed brain network that supports emotion. How aberrant functioning in a single emotion network underlies a wide range of affective symptoms, such as depression and anxiety, is not well understood. Anchored by the anterior cingulate cortex and ventral anterior insula, the emotion network responds to numerous affective stimuli. The recording of neural activity directly from the cortical surface from individuals is a promising approach since intracranial electroencephalography (iEEG) can provide direct estimates of neuronal populations to map the spatiotemporal dynamics of the emotion network at a millisecond level resolution. This study will exam how activity within emotion network hubs changes during emotions and how emotion network properties make some individuals more vulnerable to affective symptoms than others. A multidisciplinary approach is critical for understanding the dynamic brain network to advance neuroanatomical models of emotions and for guiding the development of novel treatments for affective symptoms.