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Wang C, Sun Y, Xing Y, Liu K, Xu K. Role of electrophysiological activity and interactions of lateral habenula in the development of depression-like behavior in a chronic restraint stress model. Brain Res 2024; 1835:148914. [PMID: 38580047 DOI: 10.1016/j.brainres.2024.148914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/20/2024] [Accepted: 04/02/2024] [Indexed: 04/07/2024]
Abstract
Closed-loop deep brain stimulation (DBS) system offers a promising approach for treatment-resistant depression, but identifying universally accepted electrophysiological biomarkers for closed-loop DBS systems targeting depression is challenging. There is growing evidence suggesting a strong association between the lateral habenula (LHb) and depression. Here, we took LHb as a key target, utilizing multi-site local field potentials (LFPs) to study the acute and chronic changes in electrophysiology, functional connectivity, and brain network characteristics during the formation of a chronic restraint stress (CRS) model. Furthermore, our model combining the electrophysiological changes of LHb and interactions between LHb and other potential targets of depression can effectively distinguish depressive states, offering a new way for developing effective closed-loop DBS strategies.
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Affiliation(s)
- Chang Wang
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China; Nanhu Brain-computer Interface Institute, Hangzhou 311100,China; Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China; State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China.
| | - Yuting Sun
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China; Nanhu Brain-computer Interface Institute, Hangzhou 311100,China; Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China; State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China.
| | - Yanjie Xing
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China; Nanhu Brain-computer Interface Institute, Hangzhou 311100,China; Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China; State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China.
| | - Kezhou Liu
- School of Automation (Artificial Intelligence), Hangzhou Dianzi University, Hangzhou 310018, China.
| | - Kedi Xu
- Qiushi Academy for Advanced Studies (QAAS), Zhejiang University, Hangzhou, China; Nanhu Brain-computer Interface Institute, Hangzhou 311100,China; Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Key Laboratory of Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China; State Key Lab of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China.
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Goyal A, Yuen J, Sinicrope S, Winter B, Randall L, Rusheen AE, Blaha CD, Bennet KE, Lee KH, Shin H, Oh Y. Resolution of tonic concentrations of highly similar neurotransmitters using voltammetry and deep learning. Mol Psychiatry 2024:10.1038/s41380-024-02537-1. [PMID: 38664492 DOI: 10.1038/s41380-024-02537-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 03/11/2024] [Accepted: 03/15/2024] [Indexed: 06/27/2024]
Abstract
With advances in our understanding regarding the neurochemical underpinnings of neurological and psychiatric diseases, there is an increased demand for advanced computational methods for neurochemical analysis. Despite having a variety of techniques for measuring tonic extracellular concentrations of neurotransmitters, including voltammetry, enzyme-based sensors, amperometry, and in vivo microdialysis, there is currently no means to resolve concentrations of structurally similar neurotransmitters from mixtures in the in vivo environment with high spatiotemporal resolution and limited tissue damage. Since a variety of research and clinical investigations involve brain regions containing electrochemically similar monoamines, such as dopamine and norepinephrine, developing a model to resolve the respective contributions of these neurotransmitters is of vital importance. Here we have developed a deep learning network, DiscrimNet, a convolutional autoencoder capable of accurately predicting individual tonic concentrations of dopamine, norepinephrine, and serotonin from both in vitro mixtures and the in vivo environment in anesthetized rats, measured using voltammetry. The architecture of DiscrimNet is described, and its ability to accurately predict in vitro and unseen in vivo concentrations is shown to vastly outperform a variety of shallow learning algorithms previously used for neurotransmitter discrimination. DiscrimNet is shown to generalize well to data captured from electrodes unseen during model training, eliminating the need to retrain the model for each new electrode. DiscrimNet is also shown to accurately predict the expected changes in dopamine and serotonin after cocaine and oxycodone administration in anesthetized rats in vivo. DiscrimNet therefore offers an exciting new method for real-time resolution of in vivo voltammetric signals into component neurotransmitters.
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Affiliation(s)
- Abhinav Goyal
- Medical Scientist Training Program, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Jason Yuen
- Department of Neurosurgery, Southmead Hospital, Bristol, BS10 5NB, UK
| | - Stephen Sinicrope
- Department of Neuroscience, University of Chicago, Chicago, IL, 60637, USA
| | - Bailey Winter
- Medical Scientist Training Program, Mayo Clinic, Rochester, MN, 55905, USA
| | - Lindsey Randall
- Medical Scientist Training Program, Mayo Clinic, Rochester, MN, 55905, USA
| | - Aaron E Rusheen
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, 21287, 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.
- Department of Biomedical Engineering, Mayo Clinic, Rochester, MN, 55905, USA.
| | - 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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Yuen J, Goyal A, Rusheen AE, Kouzani AZ, Berk M, Kim JH, Tye SJ, Abulseoud OA, Oesterle TS, Blaha CD, Bennet KE, Lee KH, Oh Y, Shin H. Oxycodone-induced dopaminergic and respiratory effects are modulated by deep brain stimulation. Front Pharmacol 2023; 14:1199655. [PMID: 37408764 PMCID: PMC10318172 DOI: 10.3389/fphar.2023.1199655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 06/05/2023] [Indexed: 07/07/2023] Open
Abstract
Introduction: Opioids are the leading cause of overdose death in the United States, accounting for almost 70,000 deaths in 2020. Deep brain stimulation (DBS) is a promising new treatment for substance use disorders. Here, we hypothesized that VTA DBS would modulate both the dopaminergic and respiratory effect of oxycodone. Methods: Multiple-cyclic square wave voltammetry (M-CSWV) was used to investigate how deep brain stimulation (130 Hz, 0.2 ms, and 0.2 mA) of the rodent ventral segmental area (VTA), which contains abundant dopaminergic neurons, modulates the acute effects of oxycodone administration (2.5 mg/kg, i.v.) on nucleus accumbens core (NAcc) tonic extracellular dopamine levels and respiratory rate in urethane-anesthetized rats (1.5 g/kg, i.p.). Results: I.V. administration of oxycodone resulted in an increase in NAcc tonic dopamine levels (296.9 ± 37.0 nM) compared to baseline (150.7 ± 15.5 nM) and saline administration (152.0 ± 16.1 nM) (296.9 ± 37.0 vs. 150.7 ± 15.5 vs. 152.0 ± 16.1, respectively, p = 0.022, n = 5). This robust oxycodone-induced increase in NAcc dopamine concentration was associated with a sharp reduction in respiratory rate (111.7 ± 2.6 min-1 vs. 67.9 ± 8.3 min-1; pre- vs. post-oxycodone; p < 0.001). Continuous DBS targeted at the VTA (n = 5) reduced baseline dopamine levels, attenuated the oxycodone-induced increase in dopamine levels to (+39.0% vs. +95%), and respiratory depression (121.5 ± 6.7 min-1 vs. 105.2 ± 4.1 min-1; pre- vs. post-oxycodone; p = 0.072). Discussion: Here we demonstrated VTA DBS alleviates oxycodone-induced increases in NAcc dopamine levels and reverses respiratory suppression. These results support the possibility of using neuromodulation technology for treatment of drug addiction.
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Affiliation(s)
- Jason Yuen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, United States
- IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, 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
- IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Jee Hyun Kim
- IMPACT—The Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Deakin University, Geelong, VIC, Australia
| | - Susannah J. Tye
- Queensland Brain Institute, The University of Queensland, St Lucia, QLD, Australia
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
- Department of Psychiatry and Behavioral Science, Emory University, Atlanta, GA, United States
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | | | | | - 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
| | - Yoonbae Oh
- 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
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Yuen J, Alameddine K, Bah ES, Lee KH, Sharaf BA. Cosmetic considerations for placement of deep brain stimulation pulse generator: the submammary subfascial approach. Acta Neurochir (Wien) 2023; 165:735-739. [PMID: 36515737 DOI: 10.1007/s00701-022-05450-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 12/02/2022] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Deep brain stimulation (DBS) is an effective treatment for a number of debilitating neurological diseases. However, the placement of an implantable pulse generator (IPG) can lead to significant cosmetic concerns for some patients. METHODS We present a subfascial technique of DBS IPG implantation under the breast using a more concealed scar location. The technique is illustrated in a female patient who favored a more aesthetic placement of the DBS to treat essential tremor. Relevant literature of this approach from both breast augmentation and cardiac pacemaker implantation was reviewed. RESULTS An excellent cosmetic outcome was demonstrated, and reviewing the literature, implanting under the pectoralis major fascia has the potential benefit of reducing complication rates associated with silicone implant placement in the plastic surgery literature when compared to other planes. CONCLUSIONS The subfascial implantation of IPG was described. This plane, which is used routinely in breast augmentation, has the potential to decrease complication rates compared to placement in the subglandular plane. An inframammary incision provides patients with concerns about the scar and stigmata associated with an infraclavicular location of DBS generator a better cosmetic outcome.
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Affiliation(s)
- Jason Yuen
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Khaled Alameddine
- Division of Plastic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55902, USA
| | - Eugene S Bah
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Kendall H Lee
- Department of Neurologic Surgery, Mayo Clinic, Rochester, MN, USA
| | - Basel A Sharaf
- Division of Plastic Surgery, Mayo Clinic, 200 1St Street SW, Rochester, MN, 55902, USA.
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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] [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] [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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