# Defining the forebrain neurophysiological representation of pain > **NIH NIH K08** · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2024 · $195,561 ## Abstract ABSTRACT A significant portion of patients in the United States will suffer from chronic pain at some point in their lives, and for a portion of these patients, our current medical and surgical options are inadequate. Novel treatments aimed at stimulating cerebral circuits involved in nociception for clinical pain relief are promising, but require further development of both targeting and stimulation strategies. Yet, the neural mechanisms of how human nociception manifests as the perception of pain in cerebral circuits remains poorly understood. This proposal leverages neurophysiological access to cortical and subcortical targets in patients undergoing the placement of intracranial EEG electrodes to characterize pain networks in the human brain with specific access to the less often studied nodes in the “pain network” thought to be associated with the emotional and cognitive spheres of pain processing, including the prefrontal cortex, amygdala, insula, and anterior cingulate regions. This unique access will allow detailed exploration of the pain experience in a naturalistic setting based on patients’ self- reported measures of post surgical pain, which will then be contrasted with opiate induced pain reduction. The subset of patients with pre-existing chronic pain conditions will be analyzed for variation in the biomarker signal. Our preliminary findings have yielded two overarching hypotheses: 1) periods of self-reported post- surgical pain will be associated with reduced beta power in prefrontal cortex, an association that will be reversed by the administration of opioids associated with pain relief and 2) the subset of patients with pre- existing chronic pain conditions will have predictable variance, with increases in baseline high beta/low gamma signal compared to patients without chronic pain. Through the use of novel clinical-research hybrid electrodes that allow for targeted, high-resolution electrophysiological recordings, candidate target regions will then be stimulated in an effort to re-create the associated pain reduced state electrophysiologically and clinically. This unique access into human pain circuits will guide further understanding of the physiology of these neural signatures and advance the long-term goal of developing novel paradigms to therapeutically modulate cerebral circuits for the treatment of chronic, intractable pain. This mentored award will provide critical and tailored training in 1) advanced aspects of neurophysiology 2) human experimental and clinical trial design, 3) rigorous epidemiological methods, 4) advanced biostatistics, and 5) validated psychophysical methods for the assessment of pain under the direction of Dr. Eric Halgren, a leading human neurophysiologist. A complementary team of co-mentors, advisors, and consultants has been assembled, including Mary Heinricher, a leader in the field of human and animal pain modulation, Terry Sejnowski, a pioneer in the field of theoretical neurobiology, Mark Walla... ## Key facts - **NIH application ID:** 10758558 - **Project number:** 5K08NS123543-02 - **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN DIEGO - **Principal Investigator:** Sharona Ben-Haim - **Activity code:** K08 (R01, R21, SBIR, etc.) - **Funding institute:** NIH - **Fiscal year:** 2024 - **Award amount:** $195,561 - **Award type:** 5 - **Project period:** 2023-01-01 → 2027-12-31 ## Primary source NIH RePORTER: https://reporter.nih.gov/project-details/10758558 ## Citation > US National Institutes of Health, RePORTER application 10758558, Defining the forebrain neurophysiological representation of pain (5K08NS123543-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10758558. Licensed CC0. --- *[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*