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Pereira FES, Jagatheesaperumal SK, Benjamin SR, Filho PCDN, Duarte FT, de Albuquerque VHC. Advancements in non-invasive microwave brain stimulation: A comprehensive survey. Phys Life Rev 2024; 48:132-161. [PMID: 38219370 DOI: 10.1016/j.plrev.2024.01.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 01/07/2024] [Indexed: 01/16/2024]
Abstract
This survey provides a comprehensive insight into the world of non-invasive brain stimulation and focuses on the evolving landscape of deep brain stimulation through microwave research. Non-invasive brain stimulation techniques provide new prospects for comprehending and treating neurological disorders. We investigate the methods shaping the future of deep brain stimulation, emphasizing the role of microwave technology in this transformative journey. Specifically, we explore antenna structures and optimization strategies to enhance the efficiency of high-frequency microwave stimulation. These advancements can potentially revolutionize the field by providing a safer and more precise means of modulating neural activity. Furthermore, we address the challenges that researchers currently face in the realm of microwave brain stimulation. From safety concerns to methodological intricacies, this survey outlines the barriers that must be overcome to fully unlock the potential of this technology. This survey serves as a roadmap for advancing research in microwave brain stimulation, pointing out potential directions and innovations that promise to reshape the field.
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Affiliation(s)
| | - Senthil Kumar Jagatheesaperumal
- Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, 60455-970, Ceará, Brazil; Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, 626005, Tamilnadu, India
| | - Stephen Rathinaraj Benjamin
- Department of Pharmacology and Pharmacy, Laboratory of Behavioral Neuroscience, Faculty of Medicine, Federal University of Ceará, Fortaleza, 60430-160, Ceará, Brazil
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2
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Bromberg-Martin ES, Feng YY, Ogasawara T, White JK, Zhang K, Monosov IE. A neural mechanism for conserved value computations integrating information and rewards. Nat Neurosci 2024; 27:159-175. [PMID: 38177339 PMCID: PMC10774124 DOI: 10.1038/s41593-023-01511-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 10/30/2023] [Indexed: 01/06/2024]
Abstract
Behavioral and economic theory dictate that we decide between options based on their values. However, humans and animals eagerly seek information about uncertain future rewards, even when this does not provide any objective value. This implies that decisions are made by endowing information with subjective value and integrating it with the value of extrinsic rewards, but the mechanism is unknown. Here, we show that human and monkey value judgements obey strikingly conserved computational principles during multi-attribute decisions trading off information and extrinsic reward. We then identify a neural substrate in a highly conserved ancient structure, the lateral habenula (LHb). LHb neurons signal subjective value, integrating information's value with extrinsic rewards, and the LHb predicts and causally influences ongoing decisions. Neurons in key input areas to the LHb largely signal components of these computations, not integrated value signals. Thus, our data uncover neural mechanisms of conserved computations underlying decisions to seek information about the future.
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Affiliation(s)
| | - Yang-Yang Feng
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
| | - Takaya Ogasawara
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - J Kael White
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
| | - Kaining Zhang
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA
| | - Ilya E Monosov
- Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Biomedical Engineering, Washington University, St. Louis, MO, USA.
- Department of Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Electrical Engineering, Washington University, St. Louis, MO, USA.
- Pain Center, Washington University School of Medicine, St. Louis, MO, USA.
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3
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Citrenbaum C, Corlier J, Ngo D, Vince-Cruz N, Wilson A, Wilke S, Krantz D, Tadayonnejad R, Ginder N, Levitt J, Lee JH, Strouse T, Corse A, Vyas P, Leuchter AF. Pretreatment pupillary reactivity is associated with outcome of Repetitive Transcranial Magnetic Stimulation (rTMS) treatment of Major Depressive Disorder (MDD). J Affect Disord 2023; 339:412-417. [PMID: 37437737 DOI: 10.1016/j.jad.2023.07.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/02/2023] [Accepted: 07/08/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND Pre-treatment biomarkers for outcome of repetitive Transcranial Magnetic Stimulation (rTMS) treatment of Major Depressive Disorder (MDD) have proven elusive. One promising family of biomarkers involves the autonomic nervous system (ANS), which is dysregulated in individuals with MDD. METHODS We examined the relationship between the pre-treatment pupillary light reflex (PLR) and rTMS outcome in 51 MDD patients. Outcome was measured as the percent change in the 30-item Inventory of Depressive Symptomatology Self Rated (IDS-SR) score from baseline to treatment 30. RESULTS Patients showed significant improvement with rTMS treatment. There was a significant correlation between baseline pupillary Constriction Amplitude (CA) and clinical improvement over the treatment course (R = 0.41, p = 0.003). LIMITATIONS We examined a limited number of subjects who received heterogeneous treatment protocols. Almost all patients in the study received psychotropic medications concomitant with rTMS treatment. CONCLUSION PLR measured before treatment may be a predictive biomarker for clinical improvement from rTMS in subjects with MDD.
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Affiliation(s)
- Cole Citrenbaum
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Juliana Corlier
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Doan Ngo
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Nikita Vince-Cruz
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Andrew Wilson
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Scott Wilke
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - David Krantz
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Reza Tadayonnejad
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
| | - Nathaniel Ginder
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Jennifer Levitt
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - John H Lee
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Thomas Strouse
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | - Andrew Corse
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA
| | | | - Andrew F Leuchter
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA.
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Fanty L, Yu J, Chen N, Fletcher D, Hey G, Okun M, Wong J. The current state, challenges, and future directions of deep brain stimulation for obsessive compulsive disorder. Expert Rev Med Devices 2023; 20:829-842. [PMID: 37642374 DOI: 10.1080/17434440.2023.2252732] [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: 06/13/2023] [Revised: 07/27/2023] [Accepted: 08/24/2023] [Indexed: 08/31/2023]
Abstract
INTRODUCTION Obsessive-compulsive disorder (OCD) is clinically and pathologically heterogenous, with symptoms often refractory to first-line treatments. Deep brain stimulation (DBS) for the treatment of refractory OCD provides an opportunity to adjust and individualize neuromodulation targeting aberrant circuitry underlying OCD. The tailoring of DBS therapy may allow precision in symptom control based on patient-specific pathology. Progress has been made in understanding the potential targets for DBS intervention; however, a consensus on an optimal target has not been agreed upon. AREAS COVERED A literature review of DBS for OCD was performed by querying the PubMed database. The following topics were covered: the evolution of DBS targeting in OCD, the concept of an underlying unified connectomic network, current DBS targets, challenges facing the field, and future directions which could advance personalized DBS in this challenging population. EXPERT OPINION To continue the increasing efficacy of DBS for OCD, we must further explore the optimal DBS response across clinical profiles and neuropsychiatric domains of OCD as well as how interventions targeting multiple points in an aberrant circuit, multiple aberrant circuits, or a connectivity hub impact clinical response. Additionally, biomarkers would be invaluable in programming adjustments and creating a closed-loop paradigm to address symptom fluctuation in daily life.
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Affiliation(s)
- Lauren Fanty
- Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Jun Yu
- Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Nita Chen
- Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Drew Fletcher
- College of Medicine, University of Florida Health Science Center, Gainesville, FL, USA
| | - Grace Hey
- Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
- College of Medicine, University of Florida Health Science Center, Gainesville, FL, USA
| | - Michael Okun
- Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Josh Wong
- Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
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Zhang Y, Ma L, Zhang X, Yue L, Wang J, Zheng J, Cui S, Liu FY, Wang Z, Wan Y, Yi M. Deep brain stimulation in the lateral habenula reverses local neuronal hyperactivity and ameliorates depression-like behaviors in rats. Neurobiol Dis 2023; 180:106069. [PMID: 36893902 DOI: 10.1016/j.nbd.2023.106069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 02/22/2023] [Accepted: 03/04/2023] [Indexed: 03/09/2023] Open
Abstract
Deep brain stimulation (DBS) is a promising therapy for treatment-resistant depression, while mechanisms underlying its therapeutic effects remain poorly defined. Increasing evidence has revealed an intimate association between the lateral habenula (LHb) and major depression, and suggests that the LHb might be an effective target of DBS therapy for depression. Here, we found that DBS in the LHb effectively decreased depression-like behaviors in rats experienced with chronic unpredictable mild stress (CUMS), a well-accepted paradigm for modeling depression in rodents. In vivo electrophysiological recording unveiled that CUMS increased neuronal burst firing, as well as the proportion of neurons showing hyperactivity to aversive stimuli in the LHb. Nevertheless, DBS downregulated local field potential power, reversed the CUMS-induced increase of LHb burst firing and neuronal hyperactivity to aversive stimuli, and decreased the coherence between LHb and ventral tegmental area (VTA). Our results demonstrate that DBS in the LHb exerts antidepressant-like effects and reverses local neural hyperactivity, supporting the LHb as a target of DBS therapy for depression.
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Affiliation(s)
- Yuqi Zhang
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100083, PR China
| | - Longyu Ma
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100083, PR China
| | - Xueying Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China
| | - Lupeng Yue
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Science, Beijing 100101, China
| | - Jiaxin Wang
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100083, PR China
| | - Jie Zheng
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100083, PR China
| | - Shuang Cui
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100083, PR China
| | - Feng-Yu Liu
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100083, PR China
| | - Zhiyan Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China; Department of Psychology, University of Chinese Academy of Science, Beijing 100101, China; National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing 100084, China.
| | - You Wan
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100083, PR China; Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100083, PR China; Co-innovation Center of Neuroregeneration, Nantong University, Nantong 226001, China.
| | - Ming Yi
- Neuroscience Research Institute and Department of Neurobiology, School of Basic Medical Sciences, Peking University, Beijing 100083, PR China; Key Laboratory for Neuroscience, Ministry of Education/National Health Commission, Peking University, Beijing 100083, PR China.
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