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Hadar PN, Zelmann R, Salami P, Cash SS, Paulk AC. The Neurostimulationist will see you now: prescribing direct electrical stimulation therapies for the human brain in epilepsy and beyond. Front Hum Neurosci 2024; 18:1439541. [PMID: 39296917 PMCID: PMC11408201 DOI: 10.3389/fnhum.2024.1439541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 08/23/2024] [Indexed: 09/21/2024] Open
Abstract
As the pace of research in implantable neurotechnology increases, it is important to take a step back and see if the promise lives up to our intentions. While direct electrical stimulation applied intracranially has been used for the treatment of various neurological disorders, such as Parkinson's, epilepsy, clinical depression, and Obsessive-compulsive disorder, the effectiveness can be highly variable. One perspective is that the inability to consistently treat these neurological disorders in a standardized way is due to multiple, interlaced factors, including stimulation parameters, location, and differences in underlying network connectivity, leading to a trial-and-error stimulation approach in the clinic. An alternate view, based on a growing knowledge from neural data, is that variability in this input (stimulation) and output (brain response) relationship may be more predictable and amenable to standardization, personalization, and, ultimately, therapeutic implementation. In this review, we assert that the future of human brain neurostimulation, via direct electrical stimulation, rests on deploying standardized, constrained models for easier clinical implementation and informed by intracranial data sets, such that diverse, individualized therapeutic parameters can efficiently produce similar, robust, positive outcomes for many patients closer to a prescriptive model. We address the pathway needed to arrive at this future by addressing three questions, namely: (1) why aren't we already at this prescriptive future?; (2) how do we get there?; (3) how far are we from this Neurostimulationist prescriptive future? We first posit that there are limited and predictable ways, constrained by underlying networks, for direct electrical stimulation to induce changes in the brain based on past literature. We then address how identifying underlying individual structural and functional brain connectivity which shape these standard responses enable targeted and personalized neuromodulation, bolstered through large-scale efforts, including machine learning techniques, to map and reverse engineer these input-output relationships to produce a good outcome and better identify underlying mechanisms. This understanding will not only be a major advance in enabling intelligent and informed design of neuromodulatory therapeutic tools for a wide variety of neurological diseases, but a shift in how we can predictably, and therapeutically, prescribe stimulation treatments the human brain.
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Affiliation(s)
- Peter N Hadar
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Rina Zelmann
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Pariya Salami
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Sydney S Cash
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
| | - Angelique C Paulk
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
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Srivastav S, Cui X, Varela RB, Kesby JP, Eyles D. Increasing dopamine synthesis in nigrostriatal circuits increases phasic dopamine release and alters dorsal striatal connectivity: implications for schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2023; 9:69. [PMID: 37798312 PMCID: PMC10556015 DOI: 10.1038/s41537-023-00397-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 09/18/2023] [Indexed: 10/07/2023]
Abstract
One of the most robust neurochemical abnormalities reported in patients with schizophrenia is an increase in dopamine (DA) synthesis and release, restricted to the dorsal striatum (DS). This hyper functionality is strongly associated with psychotic symptoms and progresses in those who later transition to schizophrenia. To understand the implications of this progressive neurobiology on brain function, we have developed a model in rats which we refer to as EDiPs (Enhanced Dopamine in Prodromal schizophrenia). The EDiPs model features a virally mediated increase in dorsal striatal (DS) DA synthesis capacity across puberty and into adulthood. This protocol leads to progressive changes in behaviour and neurochemistry. Our aim in this study was to explore if increased DA synthesis capacity alters the physiology of DA release and DS connectivity. Using fast scan cyclic voltammetry to assess DA release we show that evoked/phasic DA release is increased in the DS of EDiPs rats, whereas tonic/background levels of DA remain unaffected. Using quantitative immunohistochemistry methods to quantify DS synaptic architecture we show a presynaptic marker for DA release sites (Bassoon) was elevated within TH axons specifically within the DS, consistent with the increased phasic DA release in this region. Alongside changes in DA systems, we also show increased density of vesicular glutamate transporter 1 (VGluT1) synapses in the EDiPs DS suggesting changes in cortical connectivity. Our data may prove relevant in understanding the long-term implications for DS function in response to the robust and prolonged increases in DA synthesis uptake and release reported in schizophrenia.
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Affiliation(s)
- Sunil Srivastav
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Xiaoying Cui
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | | | - James P Kesby
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - Darryl Eyles
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.
- Queensland Centre for Mental Health Research, Brisbane, QLD, Australia.
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Najera RA, Mahavadi AK, Khan AU, Boddeti U, Del Bene VA, Walker HC, Bentley JN. Alternative patterns of deep brain stimulation in neurologic and neuropsychiatric disorders. Front Neuroinform 2023; 17:1156818. [PMID: 37415779 PMCID: PMC10320008 DOI: 10.3389/fninf.2023.1156818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/06/2023] [Indexed: 07/08/2023] Open
Abstract
Deep brain stimulation (DBS) is a widely used clinical therapy that modulates neuronal firing in subcortical structures, eliciting downstream network effects. Its effectiveness is determined by electrode geometry and location as well as adjustable stimulation parameters including pulse width, interstimulus interval, frequency, and amplitude. These parameters are often determined empirically during clinical or intraoperative programming and can be altered to an almost unlimited number of combinations. Conventional high-frequency stimulation uses a continuous high-frequency square-wave pulse (typically 130-160 Hz), but other stimulation patterns may prove efficacious, such as continuous or bursting theta-frequencies, variable frequencies, and coordinated reset stimulation. Here we summarize the current landscape and potential clinical applications for novel stimulation patterns.
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Affiliation(s)
- Ricardo A. Najera
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Anil K. Mahavadi
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Anas U. Khan
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Ujwal Boddeti
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, United States
| | - Victor A. Del Bene
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Harrison C. Walker
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - J. Nicole Bentley
- Department of Neurosurgery, University of Alabama at Birmingham, Birmingham, AL, United States
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Deeb W, Giordano JJ, Rossi PJ, Mogilner AY, Gunduz A, Judy JW, Klassen BT, Butson CR, Van Horne C, Deny D, Dougherty DD, Rowell D, Gerhardt GA, Smith GS, Ponce FA, Walker HC, Bronte-Stewart HM, Mayberg HS, Chizeck HJ, Langevin JP, Volkmann J, Ostrem JL, Shute JB, Jimenez-Shahed J, Foote KD, Wagle Shukla A, Rossi MA, Oh M, Pourfar M, Rosenberg PB, Silburn PA, de Hemptine C, Starr PA, Denison T, Akbar U, Grill WM, Okun MS. Proceedings of the Fourth Annual Deep Brain Stimulation Think Tank: A Review of Emerging Issues and Technologies. Front Integr Neurosci 2016; 10:38. [PMID: 27920671 PMCID: PMC5119052 DOI: 10.3389/fnint.2016.00038] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Accepted: 11/01/2016] [Indexed: 02/02/2023] Open
Abstract
This paper provides an overview of current progress in the technological advances and the use of deep brain stimulation (DBS) to treat neurological and neuropsychiatric disorders, as presented by participants of the Fourth Annual DBS Think Tank, which was convened in March 2016 in conjunction with the Center for Movement Disorders and Neurorestoration at the University of Florida, Gainesveille FL, USA. The Think Tank discussions first focused on policy and advocacy in DBS research and clinical practice, formation of registries, and issues involving the use of DBS in the treatment of Tourette Syndrome. Next, advances in the use of neuroimaging and electrochemical markers to enhance DBS specificity were addressed. Updates on ongoing use and developments of DBS for the treatment of Parkinson's disease, essential tremor, Alzheimer's disease, depression, post-traumatic stress disorder, obesity, addiction were presented, and progress toward innovation(s) in closed-loop applications were discussed. Each section of these proceedings provides updates and highlights of new information as presented at this year's international Think Tank, with a view toward current and near future advancement of the field.
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Affiliation(s)
- Wissam Deeb
- Department of Neurology, Center for Movement Disorders and Neurorestoration, University of Florida Gainesville, FL, USA
| | - James J Giordano
- Department of Neurology, and Neuroethics Studies Program, Pellegrino Center for Clinical Bioethics, Georgetown University Medical Center Washington, DC, USA
| | - Peter J Rossi
- Department of Neurology, Center for Movement Disorders and Neurorestoration, University of Florida Gainesville, FL, USA
| | - Alon Y Mogilner
- Department of Neurosurgery, Center for Neuromodulation, New York University Langone Medical Center New York, NY, USA
| | - Aysegul Gunduz
- Department of Neurology, Center for Movement Disorders and Neurorestoration, University of FloridaGainesville, FL, USA; J. Crayton Pruitt Family Department of Biomedical Engineering, University of FloridaGainesville, FL, USA
| | - Jack W Judy
- Department of Neurology, Center for Movement Disorders and Neurorestoration, University of FloridaGainesville, FL, USA; J. Crayton Pruitt Family Department of Biomedical Engineering, University of FloridaGainesville, FL, USA
| | | | - Christopher R Butson
- Department of Bioengineering, Scientific Computing and Imaging Institute, University of Utah Salt Lake City, UT, USA
| | - Craig Van Horne
- Department of Neurosurgery, University of Kentucky Chandler Medical Center Lexington, KY, USA
| | - Damiaan Deny
- Department of Psychiatry, Academic Medical Center, University of Amsterdam Amsterdam, Netherlands
| | - Darin D Dougherty
- Department of Psychiatry, Massachusetts General Hospital Boston, MA, USA
| | - David Rowell
- Asia Pacific Centre for Neuromodulation, Queensland Brain Institute, The University of Queensland Brisbane, QLD, Australia
| | - Greg A Gerhardt
- Department of Anatomy and Neurobiology, University of Kentucky Chandler Medical Center Lexington, KY, USA
| | - Gwenn S Smith
- Departments of Psychiatry and Behavioral Sciences and Radiology and Radiological Sciences, Johns Hopkins University School of Medicine Baltimore, MD, USA
| | - Francisco A Ponce
- Division of Neurological Surgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center Phoenix Arizona, AZ, USA
| | - Harrison C Walker
- Department of Neurology and Department of Biomedical Engineering, University of Alabama at Birmingham Birmingham, AL, USA
| | - Helen M Bronte-Stewart
- Departments of Neurology and Neurological Sciences and Neurosurgery, Stanford University Stanford, CA, USA
| | - Helen S Mayberg
- Department of Psychiatry, Emory University School of Medicine Atlanta, GA, USA
| | - Howard J Chizeck
- Electrical Engineering Department, University of WashingtonSeattle, WA, USA; NSF Engineering Research Center for Sensorimotor Neural EngineeringSeattle, WA, USA
| | - Jean-Philippe Langevin
- Department of Neurosurgery, VA Greater Los Angeles Healthcare System Los Angeles, CA, USA
| | - Jens Volkmann
- Department of Neurology, University Clinic of Würzburg Würzburg, Germany
| | - Jill L Ostrem
- Department of Neurology, University of California San Francisco San Francisco, CA, USA
| | - Jonathan B Shute
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida Gainesville, FL, USA
| | | | - Kelly D Foote
- Department of Neurology, Center for Movement Disorders and Neurorestoration, University of FloridaGainesville, FL, USA; Department of Neurological Sciences, University of FloridaGainesville, FL, USA
| | - Aparna Wagle Shukla
- Department of Neurology, Center for Movement Disorders and Neurorestoration, University of Florida Gainesville, FL, USA
| | - Marvin A Rossi
- Departments of Neurological Sciences, Diagnostic Radiology, and Nuclear Medicine, Rush University Medical Center Chicago, IL, USA
| | - Michael Oh
- Division of Functional Neurosurgery, Department of Neurosurgery, Allegheny General Hospital Pittsburgh, PA, USA
| | - Michael Pourfar
- Department of Neurology, New York University Langone Medical Center New York, NY, USA
| | - Paul B Rosenberg
- Psychiatry and Behavioral Sciences, Johns Hopkins Bayview Medical Center, Johns Hopkins School of Medicine Baltimore, MD, USA
| | - Peter A Silburn
- Asia Pacific Centre for Neuromodulation, Queensland Brain Institute, The University of Queensland Brisbane, QLD, Australia
| | - Coralie de Hemptine
- Graduate Program in Neuroscience, Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco San Francisco, CA, USA
| | - Philip A Starr
- Graduate Program in Neuroscience, Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco San Francisco, CA, USA
| | | | - Umer Akbar
- Movement Disorders Program, Department of Neurology, Alpert Medical School, Rhode Island Hospital, Brown University Providence, RI, USA
| | - Warren M Grill
- Department of Biomedical Engineering, Duke University Durham, NC, USA
| | - Michael S Okun
- Department of Neurology, Center for Movement Disorders and Neurorestoration, University of Florida Gainesville, FL, USA
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