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Yuen J, Goyal A, Rusheen AE, Kouzani AZ, Berk M, Kim JH, Tye SJ, Blaha CD, Bennet KE, Lee KH, Shin H, Oh Y. High frequency deep brain stimulation can mitigate the acute effects of cocaine administration on tonic dopamine levels in the rat nucleus accumbens. Front Neurosci 2023; 17:1061578. [PMID: 36793536 PMCID: PMC9922701 DOI: 10.3389/fnins.2023.1061578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 01/09/2023] [Indexed: 01/31/2023] Open
Abstract
Cocaine's addictive properties stem from its capacity to increase tonic extracellular dopamine levels in the nucleus accumbens (NAc). The ventral tegmental area (VTA) is a principal source of NAc dopamine. To investigate how high frequency stimulation (HFS) of the rodent VTA or nucleus accumbens core (NAcc) modulates the acute effects of cocaine administration on NAcc tonic dopamine levels multiple-cyclic square wave voltammetry (M-CSWV) was used. VTA HFS alone decreased NAcc tonic dopamine levels by 42%. NAcc HFS alone resulted in an initial decrease in tonic dopamine levels followed by a return to baseline. VTA or NAcc HFS following cocaine administration prevented the cocaine-induced increase in NAcc tonic dopamine. The present results suggest a possible underlying mechanism of NAc deep brain stimulation (DBS) in the treatment of substance use disorders (SUDs) and the possibility of treating SUD by abolishing dopamine release elicited by cocaine and other drugs of abuse by DBS in VTA, although further studies with chronic addiction models are required to confirm that. Furthermore, we demonstrated the use of M-CSWV can reliably measure tonic dopamine levels in vivo with both drug administration and DBS with minimal artifacts.
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Affiliation(s)
- Jason Yuen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Abhinav Goyal
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Medical Scientist Training Program, Mayo Clinic, Rochester, MN, United States
| | - Aaron E. Rusheen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Medical Scientist Training Program, Mayo Clinic, Rochester, MN, United States
| | - Abbas Z. Kouzani
- School of Engineering, Deakin University, Geelong, VIC, Australia
| | - Michael Berk
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Jee Hyun Kim
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Susannah J. Tye
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
| | - Charles D. Blaha
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
| | - Kevin E. Bennet
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Division of Engineering, Mayo Clinic, Rochester, MN, United States
| | - Kendall H. Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
| | - Hojin Shin
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
| | - Yoonbae Oh
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, United States
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Yuen J, Kouzani AZ, Berk M, Tye SJ, Rusheen AE, Blaha CD, Bennet KE, Lee KH, Shin H, Kim JH, Oh Y. Deep Brain Stimulation for Addictive Disorders-Where Are We Now? Neurotherapeutics 2022; 19:1193-1215. [PMID: 35411483 PMCID: PMC9587163 DOI: 10.1007/s13311-022-01229-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/18/2022] [Indexed: 10/18/2022] Open
Abstract
In the face of a global epidemic of drug addiction, neglecting to develop new effective therapies will perpetuate the staggering human and economic costs of substance use. This review aims to summarize and evaluate the preclinical and clinical studies of deep brain stimulation (DBS) as a novel therapy for refractory addiction, in hopes to engage and inform future research in this promising novel treatment avenue. An electronic database search (MEDLINE, EMBASE, Cochrane library) was performed using keywords and predefined inclusion criteria between 1974 and 6/18/2021 (registered on Open Science Registry). Selected articles were reviewed in full text and key details were summarized and analyzed to understand DBS' therapeutic potential and possible mechanisms of action. The search yielded 25 animal and 22 human studies. Animal studies showed that DBS of targets such as nucleus accumbens (NAc), insula, and subthalamic nucleus reduces drug use and seeking. All human studies were case series/reports (level 4/5 evidence), mostly targeting the NAc with generally positive outcomes. From the limited evidence in the literature, DBS, particularly of the NAc, appears to be a reasonable last resort option for refractory addictive disorders. We propose that future research in objective electrophysiological (e.g., local field potentials) and neurochemical (e.g., extracellular dopamine levels) biomarkers would assist monitoring the progress of treatment and developing a closed-loop DBS system. Preclinical literature also highlighted the prefrontal cortex as a promising DBS target, which should be explored in human research.
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Affiliation(s)
- Jason Yuen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA
- Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong VIC 3216, Australia
| | - Abbas Z Kouzani
- School of Engineering, Deakin University, Geelong VIC 3216, Australia
| | - Michael Berk
- Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong VIC 3216, Australia
| | - Susannah J Tye
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, 4072, Australia
- Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, 55455, USA
- Department of Psychiatry, Emory University, Atlanta, GA, 30322, USA
| | - Aaron E Rusheen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Charles D Blaha
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Kevin E Bennet
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA
- Division of Engineering, Mayo Clinic, Rochester, MN, 55905, USA
| | - Kendall H Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, USA
| | - Hojin Shin
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Jee Hyun Kim
- Deakin University, IMPACT, The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong VIC 3216, Australia.
| | - Yoonbae Oh
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA.
- Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, USA.
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Provenza NR, Sheth SA, Dastin-van Rijn EM, Mathura RK, Ding Y, Vogt GS, Avendano-Ortega M, Ramakrishnan N, Peled N, Gelin LFF, Xing D, Jeni LA, Ertugrul IO, Barrios-Anderson A, Matteson E, Wiese AD, Xu J, Viswanathan A, Harrison MT, Bijanki KR, Storch EA, Cohn JF, Goodman WK, Borton DA. Long-term ecological assessment of intracranial electrophysiology synchronized to behavioral markers in obsessive-compulsive disorder. Nat Med 2021; 27:2154-2164. [PMID: 34887577 PMCID: PMC8800455 DOI: 10.1038/s41591-021-01550-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 09/22/2021] [Indexed: 01/02/2023]
Abstract
Detection of neural signatures related to pathological behavioral states could enable adaptive deep brain stimulation (DBS), a potential strategy for improving efficacy of DBS for neurological and psychiatric disorders. This approach requires identifying neural biomarkers of relevant behavioral states, a task best performed in ecologically valid environments. Here, in human participants with obsessive-compulsive disorder (OCD) implanted with recording-capable DBS devices, we synchronized chronic ventral striatum local field potentials with relevant, disease-specific behaviors. We captured over 1,000 h of local field potentials in the clinic and at home during unstructured activity, as well as during DBS and exposure therapy. The wide range of symptom severity over which the data were captured allowed us to identify candidate neural biomarkers of OCD symptom intensity. This work demonstrates the feasibility and utility of capturing chronic intracranial electrophysiology during daily symptom fluctuations to enable neural biomarker identification, a prerequisite for future development of adaptive DBS for OCD and other psychiatric disorders.
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Affiliation(s)
- Nicole R Provenza
- Brown University School of Engineering, Providence, RI, USA
- Charles Stark Draper Laboratory, Cambridge, MA, USA
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | | | - Raissa K Mathura
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Yaohan Ding
- Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, USA
| | - Gregory S Vogt
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Michelle Avendano-Ortega
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Nithya Ramakrishnan
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Noam Peled
- MGH/HST Martinos Center for Biomedical Imaging, Charlestown, MA, USA
- Harvard Medical School, Cambridge, MA, USA
| | | | - David Xing
- Brown University School of Engineering, Providence, RI, USA
| | - Laszlo A Jeni
- Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Itir Onal Ertugrul
- Department of Cognitive Science and Artificial Intelligence, Tilburg University, Tilburg, the Netherlands
| | | | - Evan Matteson
- Brown University School of Engineering, Providence, RI, USA
| | - Andrew D Wiese
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
- Department of Psychology, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Junqian Xu
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Ashwin Viswanathan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | | | - Kelly R Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Jeffrey F Cohn
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Wayne K Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - David A Borton
- Brown University School of Engineering, Providence, RI, USA.
- Carney Institute for Brain Science, Brown University, Providence, RI, USA.
- Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Department of Veterans Affairs, Providence, RI, USA.
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