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Kellogg MA, Ernst LD, Spencer DC, Datta P, Klein E, Bhati MT, Shivacharan RS, Nho YH, Barbosa DAN, Halpern CH, Raslan A. Dual Treatment of Refractory Focal Epilepsy and Obsessive-Compulsive Disorder With Intracranial Responsive Neurostimulation. Neurol Clin Pract 2024; 14:e200318. [PMID: 38846467 PMCID: PMC11152646 DOI: 10.1212/cpj.0000000000200318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 04/02/2024] [Indexed: 06/09/2024]
Abstract
Purpose of the Review Intracranial neurostimulation is a well-established treatment of neurologic conditions such as drug-resistant epilepsy (DRE) and movement disorders, and there is emerging evidence for using deep brain stimulation to treat obsessive-compulsive disorder (OCD) and depression. Nearly all published reports of intracranial neurostimulation have focused on implanting a single device to treat a single condition. The purpose of this review was to educate neurology clinicians on the background literature informing dual treatment of 2 comorbid neuropsychiatric conditions epilepsy and OCD, discuss ethical and logistical challenges to dual neuropsychiatric treatment with a single device, and demonstrate the promise and pitfalls of this approach through discussion of the first-in-human closed-looped responsive neurostimulator (RNS) implanted to treat both DRE (on-label) and OCD (off-label). Recent Findings We report the first implantation of an intracranial closed-loop neurostimulation device (the RNS system) with the primary goal of treating DRE and a secondary exploratory goal of managing treatment-refractory OCD. The RNS system detects electrophysiologic activity and delivers electrical stimulation through 1 or 2 electrodes implanted into a patient's seizure-onset zones (SOZs). In this case report, we describe a patient with treatment-refractory epilepsy and OCD where the first lead was implanted in the right superior temporal gyrus to target the most active SOZ based on stereotactic EEG (sEEG) recordings and semiology. The second lead was implanted to target the right anterior peri-insular region (a secondary SOZ on sEEG) with the distal-most contacts in the right nucleus accumbens, a putative target for OCD neurostimulation treatment. The RNS system was programmed to detect and record the unique electrophysiologic signature of both the patient's seizures and compulsions and then deliver tailored electrical pulses to disrupt the pathologic circuitry. Summary Dual treatment of refractory focal epilepsy and OCD with an intracranial closed-loop neurostimulation device is feasible, safe, and potentially effective. However, there are logistical challenges and ethical considerations to this novel approach to treatment, which require complex care coordination by a large multidisciplinary team.
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Affiliation(s)
- Marissa A Kellogg
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Lia D Ernst
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - David C Spencer
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Proleta Datta
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Eran Klein
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Mahendra T Bhati
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Rajat S Shivacharan
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Young-Hoon Nho
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Daniel A N Barbosa
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Casey H Halpern
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
| | - Ahmed Raslan
- Department of Neurology and Comprehensive Epilepsy Center (MAK, LDE, DCS, PD, EK), Oregon Health & Science University (OHSU); Department of Neurology (MAK, LDE, EK), Portland Veterans Affairs Healthcare System, OR; Department of Psychiatry and Behavioral Sciences (MTB); Department of Neurosurgery (MTB, RSS), Stanford University School of Medicine, CA; Department of Neurosurgery (Y-HN, DANB, CHH), University of Pennsylvania; Department of Surgery (CHH), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, PA; and Department of Neurosurgery and Comprehensive Epilepsy Center (AR), Oregon Health & Science University (OHSU) Department of Neurosurgery, Portland, OR
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Mondragón-González SL, Schreiweis C, Burguière E. Closed-loop recruitment of striatal interneurons prevents compulsive-like grooming behaviors. Nat Neurosci 2024; 27:1148-1156. [PMID: 38693349 PMCID: PMC11156588 DOI: 10.1038/s41593-024-01633-3] [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] [Received: 09/05/2022] [Accepted: 03/27/2024] [Indexed: 05/03/2024]
Abstract
Compulsive behaviors have been associated with striatal hyperactivity. Parvalbumin-positive striatal interneurons (PVIs) in the striatum play a crucial role in regulating striatal activity and suppressing prepotent inappropriate actions. To investigate the potential role of striatal PVIs in regulating compulsive behaviors, we assessed excessive self-grooming-a behavioral metric of compulsive-like behavior-in male Sapap3 knockout mice (Sapap3-KO). Continuous optogenetic activation of PVIs in striatal areas receiving input from the lateral orbitofrontal cortex reduced self-grooming events in Sapap3-KO mice to wild-type levels. Aiming to shorten the critical time window for PVI recruitment, we then provided real-time closed-loop optogenetic stimulation of striatal PVIs, using a transient power increase in the 1-4 Hz frequency band in the orbitofrontal cortex as a predictive biomarker of grooming onsets. Targeted closed-loop stimulation at grooming onsets was as effective as continuous stimulation in reducing grooming events but required 87% less stimulation time, paving the way for adaptive stimulation therapeutic protocols.
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Affiliation(s)
- Sirenia Lizbeth Mondragón-González
- Institut du Cerveau - Paris Brain Institute - ICM, Sorbonne Université, Inserm, CNRS, AP-HP Hôpital de la Pitié Salpêtrière, Paris, France
| | - Christiane Schreiweis
- Institut du Cerveau - Paris Brain Institute - ICM, Sorbonne Université, Inserm, CNRS, AP-HP Hôpital de la Pitié Salpêtrière, Paris, France
| | - Eric Burguière
- Institut du Cerveau - Paris Brain Institute - ICM, Sorbonne Université, Inserm, CNRS, AP-HP Hôpital de la Pitié Salpêtrière, Paris, France.
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Monosov IE, Zimmermann J, Frank MJ, Mathis MW, Baker JT. Ethological computational psychiatry: Challenges and opportunities. Curr Opin Neurobiol 2024; 86:102881. [PMID: 38696972 PMCID: PMC11162904 DOI: 10.1016/j.conb.2024.102881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 05/04/2024]
Abstract
Studying the intricacies of individual subjects' moods and cognitive processing over extended periods of time presents a formidable challenge in medicine. While much of systems neuroscience appropriately focuses on the link between neural circuit functions and well-constrained behaviors over short timescales (e.g., trials, hours), many mental health conditions involve complex interactions of mood and cognition that are non-stationary across behavioral contexts and evolve over extended timescales. Here, we discuss opportunities, challenges, and possible future directions in computational psychiatry to quantify non-stationary continuously monitored behaviors. We suggest that this exploratory effort may contribute to a more precision-based approach to treating mental disorders and facilitate a more robust reverse translation across animal species. We conclude with ethical considerations for any field that aims to bridge artificial intelligence and patient monitoring.
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Affiliation(s)
- Ilya E. Monosov
- Departments of Neuroscience, Biomedical Engineering, Electrical Engineering, and Neurosurgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Jan Zimmermann
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA
| | - Michael J. Frank
- Carney Center for Computational Brain Science, Brown University, Providence, RI, USA
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Sadras N, Pesaran B, Shanechi MM. Event detection and classification from multimodal time series with application to neural data. J Neural Eng 2024; 21:026049. [PMID: 38513289 DOI: 10.1088/1741-2552/ad3678] [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: 11/15/2023] [Accepted: 03/21/2024] [Indexed: 03/23/2024]
Abstract
The detection of events in time-series data is a common signal-processing problem. When the data can be modeled as a known template signal with an unknown delay in Gaussian noise, detection of the template signal can be done with a traditional matched filter. However, in many applications, the event of interest is represented in multimodal data consisting of both Gaussian and point-process time series. Neuroscience experiments, for example, can simultaneously record multimodal neural signals such as local field potentials (LFPs), which can be modeled as Gaussian, and neuronal spikes, which can be modeled as point processes. Currently, no method exists for event detection from such multimodal data, and as such our objective in this work is to develop a method to meet this need. Here we address this challenge by developing the multimodal event detector (MED) algorithm which simultaneously estimates event times and classes. To do this, we write a multimodal likelihood function for Gaussian and point-process observations and derive the associated maximum likelihood estimator of simultaneous event times and classes. We additionally introduce a cross-modal scaling parameter to account for model mismatch in real datasets. We validate this method in extensive simulations as well as in a neural spike-LFP dataset recorded during an eye-movement task, where the events of interest are eye movements with unknown times and directions. We show that the MED can successfully detect eye movement onset and classify eye movement direction. Further, the MED successfully combines information across data modalities, with multimodal performance exceeding unimodal performance. This method can facilitate applications such as the discovery of latent events in multimodal neural population activity and the development of brain-computer interfaces for naturalistic settings without constrained tasks or prior knowledge of event times.
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Affiliation(s)
- Nitin Sadras
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States of America
| | - Bijan Pesaran
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America
| | - Maryam M Shanechi
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States of America
- Thomas Lord Department of Computer Science, Alfred E. Mann Department of Biomedical Engineering, and the Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, United States of America
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5
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Valentino RJ, Nair SG, Volkow ND. Neuroscience in addiction research. J Neural Transm (Vienna) 2024; 131:453-459. [PMID: 37947883 DOI: 10.1007/s00702-023-02713-7] [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: 07/26/2023] [Accepted: 10/16/2023] [Indexed: 11/12/2023]
Abstract
The prevention and treatment of addiction (moderate to severe substance use disorder-SUD) have remained challenging because of the dynamic and complex interactions between multiple biological and social determinants that shape SUD. The pharmacological landscape is ever changing and the use of multiple drugs is increasingly common, requiring an unraveling of pharmacological interactions to understand the effects. There are different stages in the trajectory from drug use to addiction that are characterized by distinct cognitive and emotional features. These are directed by different neurobiological processes that require identification and characterization including those that underlie the high co-morbidity with other disorders. Finally, there is substantial individual variability in the susceptibility to develop SUD because there are multiple determinants, including genetics, sex, developmental trajectories and times of drug exposures, and psychosocial and environmental factors including commercial determinants that influence drug availability. Elucidating how these factors interact to determine risk is essential for identifying the biobehavioral basis of addiction and developing prevention and treatment strategies. Basic research is tasked with addressing each of these challenges. The recent proliferation of technological advances that allow for genetic manipulation, visualization of molecular reactions and cellular activity in vivo, multiscale whole brain mapping across the life span, and the mining of massive data sets including multimodality human brain imaging are accelerating our ability to understand how the brain functions and how drugs influence it. Here, we highlight how the application of these tools to the study of addiction promises to illuminate its neurobiological basis and guide strategies for prevention and treatment.
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Affiliation(s)
- Rita J Valentino
- National Institute On Drug Abuse, National Institutes of Health, Bethesda, MD, USA.
| | - Sunila G Nair
- National Institute On Drug Abuse, National Institutes of Health, Bethesda, MD, USA
| | - Nora D Volkow
- National Institute On Drug Abuse, National Institutes of Health, Bethesda, MD, USA
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6
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Jia Q, Liu Y, Lv S, Wang Y, Jiao P, Xu W, Xu Z, Wang M, Cai X. Wireless closed-loop deep brain stimulation using microelectrode array probes. J Zhejiang Univ Sci B 2024:1-21. [PMID: 38423536 DOI: 10.1631/jzus.b2300400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/25/2023] [Indexed: 03/02/2024]
Abstract
Deep brain stimulation (DBS), including optical stimulation and electrical stimulation, has been demonstrated considerable value in exploring pathological brain activity and developing treatments for neural disorders. Advances in DBS microsystems based on implantable microelectrode array (MEA) probes have opened up new opportunities for closed-loop DBS (CL-DBS) in situ. This technology can be used to detect damaged brain circuits and test the therapeutic potential for modulating the output of these circuits in a variety of diseases simultaneously. Despite the success and rapid utilization of MEA probe-based CL-DBS microsystems, key challenges, including excessive wired communication, need to be urgently resolved. In this review, we considered recent advances in MEA probe-based wireless CL-DBS microsystems and outlined the major issues and promising prospects in this field. This technology has the potential to offer novel therapeutic options for psychiatric disorders in the future.
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Affiliation(s)
- Qianli Jia
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaoyao Liu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shiya Lv
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yiding Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peiyao Jiao
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhaojie Xu
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mixia Wang
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Xinxia Cai
- State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China. ,
- School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China. ,
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Sellers KK, Cohen JL, Khambhati AN, Fan JM, Lee AM, Chang EF, Krystal AD. Closed-loop neurostimulation for the treatment of psychiatric disorders. Neuropsychopharmacology 2024; 49:163-178. [PMID: 37369777 PMCID: PMC10700557 DOI: 10.1038/s41386-023-01631-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 05/31/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023]
Abstract
Despite increasing prevalence and huge personal and societal burden, psychiatric diseases still lack treatments which can control symptoms for a large fraction of patients. Increasing insight into the neurobiology underlying these diseases has demonstrated wide-ranging aberrant activity and functioning in multiple brain circuits and networks. Together with varied presentation and symptoms, this makes one-size-fits-all treatment a challenge. There has been a resurgence of interest in the use of neurostimulation as a treatment for psychiatric diseases. Initial studies using continuous open-loop stimulation, in which clinicians adjusted stimulation parameters during patient visits, showed promise but also mixed results. Given the periodic nature and fluctuations of symptoms often observed in psychiatric illnesses, the use of device-driven closed-loop stimulation may provide more effective therapy. The use of a biomarker, which is correlated with specific symptoms, to deliver stimulation only during symptomatic periods allows for the personalized therapy needed for such heterogeneous disorders. Here, we provide the reader with background motivating the use of closed-loop neurostimulation for the treatment of psychiatric disorders. We review foundational studies of open- and closed-loop neurostimulation for neuropsychiatric indications, focusing on deep brain stimulation, and discuss key considerations when designing and implementing closed-loop neurostimulation.
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Affiliation(s)
- Kristin K Sellers
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Joshua L Cohen
- Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Ankit N Khambhati
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Joline M Fan
- Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
- Department of Neurology, University of California, San Francisco, CA, USA
| | - A Moses Lee
- Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Edward F Chang
- Department of Neurological Surgery, University of California, San Francisco, CA, USA
- Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Andrew D Krystal
- Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA.
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Paulk AC, Salami P, Zelmann R, Cash SS. Electrode Development for Epilepsy Diagnosis and Treatment. Neurosurg Clin N Am 2024; 35:135-149. [PMID: 38000837 DOI: 10.1016/j.nec.2023.09.003] [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] [Indexed: 11/26/2023]
Abstract
Recording neural activity has been a critical aspect in the diagnosis and treatment of patients with epilepsy. For those with intractable epilepsy, intracranial neural monitoring has been of substantial importance. Clinically, however, methods for recording neural information have remained essentially unchanged for decades. Over the last decade or so, rapid advances in electrode technology have begun to change this landscape. New systems allow for the observation of neural activity with high spatial resolution and, in some cases, at the level of the activity of individual neurons. These new tools have contributed greatly to our understanding of brain function and dysfunction. Here, the authors review the primary technologies currently in use in humans. The authors discuss other possible systems, some of the challenges which come along with these devices, and how they will become incorporated into the clinical workflow. Ultimately, the expectation is that these new, high-density, high-spatial-resolution recording systems will become a valuable part of the clinical arsenal used in the diagnosis and surgical management of epilepsy.
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Affiliation(s)
- Angelique C Paulk
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA.
| | - Pariya Salami
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA
| | - Rina Zelmann
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA
| | - Sydney S Cash
- Department of Neurology, Center for Neurotechnology and Neurorecovery, Massachusetts General Hospital and Harvard Medical School, 55 Fruit Street, Boston, MA 02114, USA
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Sandoval-Pistorius SS, Hacker ML, Waters AC, Wang J, Provenza NR, de Hemptinne C, Johnson KA, Morrison MA, Cernera S. Advances in Deep Brain Stimulation: From Mechanisms to Applications. J Neurosci 2023; 43:7575-7586. [PMID: 37940596 PMCID: PMC10634582 DOI: 10.1523/jneurosci.1427-23.2023] [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] [Received: 07/27/2023] [Revised: 08/14/2023] [Accepted: 08/15/2023] [Indexed: 11/10/2023] Open
Abstract
Deep brain stimulation (DBS) is an effective therapy for various neurologic and neuropsychiatric disorders, involving chronic implantation of electrodes into target brain regions for electrical stimulation delivery. Despite its safety and efficacy, DBS remains an underutilized therapy. Advances in the field of DBS, including in technology, mechanistic understanding, and applications have the potential to expand access and use of DBS, while also improving clinical outcomes. Developments in DBS technology, such as MRI compatibility and bidirectional DBS systems capable of sensing neural activity while providing therapeutic stimulation, have enabled advances in our understanding of DBS mechanisms and its application. In this review, we summarize recent work exploring DBS modulation of target networks. We also cover current work focusing on improved programming and the development of novel stimulation paradigms that go beyond current standards of DBS, many of which are enabled by sensing-enabled DBS systems and have the potential to expand access to DBS.
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Affiliation(s)
| | - Mallory L Hacker
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232
| | - Allison C Waters
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York 10029
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York 10029
| | - Jing Wang
- Department of Neurology, University of Minnesota, Minneapolis, Minnesota 55455
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas 77030
| | - Coralie de Hemptinne
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida 32608
| | - Kara A Johnson
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida 32608
| | - Melanie A Morrison
- Department of Radiology and Biomedical Imaging, University of California-San Francisco, San Francisco, California 94143
| | - Stephanie Cernera
- Department of Neurological Surgery, University of California-San Francisco, San Francisco, California 94143
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Sheth SA, Shofty B, Allawala A, Xiao J, Adkinson JA, Mathura RK, Pirtle V, Myers J, Oswalt D, Provenza NR, Giridharan N, Noecker AM, Banks GP, Gadot R, Najera RA, Anand A, Devara E, Dang H, Bartoli E, Watrous A, Cohn J, Borton D, Mathew SJ, McIntyre CC, Goodman W, Bijanki K, Pouratian N. Stereo-EEG-guided network modulation for psychiatric disorders: Surgical considerations. Brain Stimul 2023; 16:1792-1798. [PMID: 38135358 PMCID: PMC10787578 DOI: 10.1016/j.brs.2023.07.057] [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] [Received: 05/31/2023] [Revised: 07/30/2023] [Accepted: 07/30/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Deep brain stimulation (DBS) and other neuromodulatory techniques are being increasingly utilized to treat refractory neurologic and psychiatric disorders. OBJECTIVE /Hypothesis: To better understand the circuit-level pathophysiology of treatment-resistant depression (TRD) and treat the network-level dysfunction inherent to this challenging disorder, we adopted an approach of inpatient intracranial monitoring borrowed from the epilepsy surgery field. METHODS We implanted 3 patients with 4 DBS leads (bilateral pair in both the ventral capsule/ventral striatum and subcallosal cingulate) and 10 stereo-electroencephalography (sEEG) electrodes targeting depression-relevant network regions. For surgical planning, we used an interactive, holographic visualization platform to appreciate the 3D anatomy and connectivity. In the initial surgery, we placed the DBS leads and sEEG electrodes using robotic stereotaxy. Subjects were then admitted to an inpatient monitoring unit for depression-specific neurophysiological assessments. Following these investigations, subjects returned to the OR to remove the sEEG electrodes and internalize the DBS leads to implanted pulse generators. RESULTS Intraoperative testing revealed positive valence responses in all 3 subjects that helped verify targeting. Given the importance of the network-based hypotheses we were testing, we required accurate adherence to the surgical plan (to engage DBS and sEEG targets) and stability of DBS lead rotational position (to ensure that stimulation field estimates of the directional leads used during inpatient monitoring were relevant chronically), both of which we confirmed (mean radial error 1.2±0.9 mm; mean rotation 3.6±2.6°). CONCLUSION This novel hybrid sEEG-DBS approach allows detailed study of the neurophysiological substrates of complex neuropsychiatric disorders.
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Affiliation(s)
- Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
| | - Ben Shofty
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Anusha Allawala
- Department of Engineering, Brown University, Providence, RI, USA
| | - Jiayang Xiao
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Joshua A Adkinson
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Raissa K Mathura
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Victoria Pirtle
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - John Myers
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Denise Oswalt
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, USA
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Nisha Giridharan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Angela M Noecker
- Departments of Biomedical Engineering and Neurosurgery, Duke University, Durham, NC, USA
| | - Garrett P Banks
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Ron Gadot
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Ricardo A Najera
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Adrish Anand
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Ethan Devara
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Huy Dang
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Eleonora Bartoli
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Andrew Watrous
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Jeffrey Cohn
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA
| | - David Borton
- Department of Engineering, Brown University, Providence, RI, USA
| | - Sanjay J Mathew
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | | | - Wayne Goodman
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Kelly Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Nader Pouratian
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, TX, USA
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11
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Subash P, Gray A, Boswell M, Cohen SL, Garner R, Salehi S, Fisher C, Hobel S, Ghosh S, Halchenko Y, Dichter B, Poldrack RA, Markiewicz C, Hermes D, Delorme A, Makeig S, Behan B, Sparks A, Arnott SR, Wang Z, Magnotti J, Beauchamp MS, Pouratian N, Toga AW, Duncan D. A comparison of neuroelectrophysiology databases. Sci Data 2023; 10:719. [PMID: 37857685 PMCID: PMC10587056 DOI: 10.1038/s41597-023-02614-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 10/02/2023] [Indexed: 10/21/2023] Open
Abstract
As data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and collaboration. This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed Archives for Neurophysiology Data Integration (DANDI), OpenNeuro, and Brain-CODE. The aim of this review is to describe archives that provide researchers with tools to store, share, and reanalyze both human and non-human neurophysiology data based on criteria that are of interest to the neuroscientific community. The Brain Imaging Data Structure (BIDS) and Neurodata Without Borders (NWB) are utilized by these archives to make data more accessible to researchers by implementing a common standard. As the necessity for integrating large-scale analysis into data repository platforms continues to grow within the neuroscientific community, this article will highlight the various analytical and customizable tools developed within the chosen archives that may advance the field of neuroinformatics.
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Affiliation(s)
- Priyanka Subash
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Alex Gray
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Misque Boswell
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Samantha L Cohen
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Rachael Garner
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Sana Salehi
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Calvary Fisher
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Samuel Hobel
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Satrajit Ghosh
- McGovern Institute for Brain Research, MIT Brain and Cognitive Sciences, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA
| | - Yaroslav Halchenko
- Department of Psychological & Brain Sciences, Center for Cognitive Neuroscience, Dartmouth Brain Imaging Center, Dartmouth College, 6207 Moore Hall, Hanover, NH, 03755, USA
| | | | - Russell A Poldrack
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA
| | - Chris Markiewicz
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford, CA, 94305, USA
| | - Dora Hermes
- Mayo Clinic, Department of Physiology & Biomedical Engineering, 200 1st Street SW, Rochester, MN, 55905, USA
| | - Arnaud Delorme
- Swartz Center of Computational Neuroscience, INC, University of California San Diego, La Jolla, CA, 92093, USA
| | - Scott Makeig
- Swartz Center of Computational Neuroscience, INC, University of California San Diego, La Jolla, CA, 92093, USA
| | - Brendan Behan
- Ontario Brain Institute, 1 Richmond Street West, Toronto, ON, M5H 3W4, Canada
| | | | | | - Zhengjia Wang
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA
| | - John Magnotti
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA
| | - Michael S Beauchamp
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA
| | - Nader Pouratian
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5303 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA
| | - Dominique Duncan
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles, CA, 90033, USA.
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Verhein JR, Vyas S, Shenoy KV. Methylphenidate modulates motor cortical dynamics and behavior. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.15.562405. [PMID: 37905157 PMCID: PMC10614820 DOI: 10.1101/2023.10.15.562405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Methylphenidate (MPH, brand: Ritalin) is a common stimulant used both medically and non-medically. Though typically prescribed for its cognitive effects, MPH also affects movement. While it is known that MPH noncompetitively blocks the reuptake of catecholamines through inhibition of dopamine and norepinephrine transporters, a critical step in exploring how it affects behavior is to understand how MPH directly affects neural activity. This would establish an electrophysiological mechanism of action for MPH. Since we now have biologically-grounded network-level hypotheses regarding how populations of motor cortical neurons plan and execute movements, there is a unique opportunity to make testable predictions regarding how systemic MPH administration - a pharmacological perturbation - might affect neural activity in motor cortex. To that end, we administered clinically-relevant doses of MPH to Rhesus monkeys as they performed an instructed-delay reaching task. Concomitantly, we measured neural activity from dorsal premotor and primary motor cortex. Consistent with our predictions, we found dose-dependent and significant effects on reaction time, trial-by-trial variability, and movement speed. We confirmed our hypotheses that changes in reaction time and variability were accompanied by previously established population-level changes in motor cortical preparatory activity and the condition-independent signal that precedes movements. We expected changes in speed to be a result of changes in the amplitude of motor cortical dynamics and/or a translation of those dynamics in activity space. Instead, our data are consistent with a mechanism whereby the neuromodulatory effect of MPH is to increase the gain and/or the signal-to-noise of motor cortical dynamics during reaching. Continued work in this domain to better understand the brain-wide electrophysiological mechanism of action of MPH and other psychoactive drugs could facilitate more targeted treatments for a host of cognitive-motor disorders.
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Affiliation(s)
- Jessica R Verhein
- Medical Scientist Training Program, Stanford School of Medicine, Stanford University, Stanford, CA
- Neurosciences Graduate Program, Stanford School of Medicine, Stanford University, Stanford, CA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA
- Current affiliations: Psychiatry Research Residency Training Program, University of California, San Francisco, San Francisco, CA
| | - Saurabh Vyas
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA
- Department of Bioengineering, Stanford University, Stanford, CA
- Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY
| | - Krishna V Shenoy
- Neurosciences Graduate Program, Stanford School of Medicine, Stanford University, Stanford, CA
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA
- Department of Bioengineering, Stanford University, Stanford, CA
- Department of Electrical Engineering, Stanford University, Stanford, CA
- Howard Hughes Medical Institute at Stanford University, Stanford, CA
- Department of Neurobiology, Stanford University, Stanford, CA
- Bio-X Program, Stanford University, Stanford, CA
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13
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Pham MT, Campbell TA, Dorfman N, Torgerson L, Kostick-Quenet K, Blumenthal-Barby J, Storch EA, Lázaro-Muñoz G. Clinician Perspectives on Levels of Evidence and Oversight for Deep Brain Stimulation for Treatment-Resistant Childhood OCD. J Obsessive Compuls Relat Disord 2023; 39:100830. [PMID: 37781644 PMCID: PMC10538479 DOI: 10.1016/j.jocrd.2023.100830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/03/2023]
Abstract
Approximately 10-20% of children with obsessive-compulsive disorder (OCD) have treatment-resistant presentations, and there is likely interest in developing interventions for this patient group, which may include deep brain stimulation (DBS). The World Society for Stereotactic and Functional Neurosurgery has argued that at least two successful randomized controlled trials should be available before DBS treatment for a psychiatric disorder is considered "established." The FDA approved DBS for adults with treatment-resistant OCD under a humanitarian device exemption (HDE) in 2009, which requires that a device be used to manage or treat a condition impacting 8,000 or fewer patients annually in the United States. DBS is currently offered to children ages 7 and older with treatment-resistant dystonia under an HDE. Ethical and empirical work are needed to evaluate whether and under what conditions it might be appropriate to offer DBS for treatment-resistant childhood OCD. To address this gap, we report qualitative data from semi-structured interviews with 25 clinicians with expertise in this area. First, we report clinician perspectives on acceptable levels of evidence to offer DBS in this patient population. Second, we describe their perspectives on institutional policies or protocols that might be needed to effectively provide care for this patient population.
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Affiliation(s)
- Michelle T Pham
- Center for Bioethics and Social Justice, College of Human Medicine, Michigan State University, East Fee Hall 965 Wilson Road Rm A-126, East Lansing, MI 48824, United States
| | - Tiffany A Campbell
- Center for Bioethics, Harvard Medical School, 641 Huntington Avenue, Boston, MA, 02115, United States
| | - Natalie Dorfman
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, One Baylor Plaza, Suite 326D, Houston, TX, 77030, United States
| | - Laura Torgerson
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, One Baylor Plaza, Suite 326D, Houston, TX, 77030, United States
| | - Kristin Kostick-Quenet
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, One Baylor Plaza, Suite 326D, Houston, TX, 77030, United States
| | - Jennifer Blumenthal-Barby
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, One Baylor Plaza, Suite 326D, Houston, TX, 77030, United States
| | - Eric A Storch
- Department of Psychiatry & Behavioral Sciences, Baylor College of Medicine, 1977 Butler Blvd Suite E4.100, Houston, TX, 77030, United States
| | - Gabriel Lázaro-Muñoz
- Center for Bioethics, Harvard Medical School, 641 Huntington Avenue, Boston, MA, 02115, United States
- Department of Psychiatry, Massachusetts General Hospital, 55 Fruit Street, Boston, MA, 02114, United States
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14
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Alarie ME, Provenza NR, Herron JA, Asaad WF. Automated artifact injection into sensing-capable brain modulation devices for neural-behavioral synchronization and the influence of device state. Brain Stimul 2023; 16:1358-1360. [PMID: 37690601 DOI: 10.1016/j.brs.2023.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 09/06/2023] [Indexed: 09/12/2023] Open
Affiliation(s)
- Michaela E Alarie
- Center for Biomedical Engineering, Brown University, Providence, RI, United States; Carney Institute for Brain Science, Brown University, Providence, RI, United States.
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Jeffrey A Herron
- Department of Neurological Surgery, University of Washington, Seattle, WA, United States
| | - Wael F Asaad
- Carney Institute for Brain Science, Brown University, Providence, RI, United States; Departments of Neurosurgery & Neuroscience, Brown University, Providence, RI, United States; Norman Prince Neurosciences Institute, Rhode Island Hospital, Providence, RI, United States
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15
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Subash P, Gray A, Boswell M, Cohen SL, Garner R, Salehi S, Fisher C, Hobel S, Ghosh S, Halchenko Y, Dichter B, Poldrack RA, Markiewicz C, Hermes D, Delorme A, Makeig S, Behan B, Sparks A, Arnott SR, Wang Z, Magnotti J, Beauchamp MS, Pouratian N, Toga AW, Duncan D. A Comparison of Neuroelectrophysiology Databases. ARXIV 2023:arXiv:2306.15041v2. [PMID: 37426452 PMCID: PMC10327244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
As data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and collaboration. This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed Archives for Neurophysiology Data Integration (DANDI), OpenNeuro, and Brain-CODE. The aim of this review is to describe archives that provide researchers with tools to store, share, and reanalyze both human and non-human neurophysiology data based on criteria that are of interest to the neuroscientific community. The Brain Imaging Data Structure (BIDS) and Neurodata Without Borders (NWB) are utilized by these archives to make data more accessible to researchers by implementing a common standard. As the necessity for integrating large-scale analysis into data repository platforms continues to grow within the neuroscientific community, this article will highlight the various analytical and customizable tools developed within the chosen archives that may advance the field of neuroinformatics.
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Affiliation(s)
- Priyanka Subash
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Alex Gray
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Misque Boswell
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Samantha L Cohen
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Rachael Garner
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Sana Salehi
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Calvary Fisher
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Samuel Hobel
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Satrajit Ghosh
- McGovern Institute for Brain Research, MIT Brain and Cognitive Sciences, 77 Massachusetts Avenue, Cambridge MA 02139
| | - Yaroslav Halchenko
- Department of Psychological & Brain Sciences, Center for Cognitive Neuroscience, Dartmouth Brain Imaging Center, Dartmouth College, 6207 Moore Hall, Hanover NH 03755
| | | | - Russell A Poldrack
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford CA 94305
| | - Chris Markiewicz
- Department of Psychology, Stanford University, 450 Jane Stanford Way, Stanford CA 94305
| | - Dora Hermes
- Mayo Clinic, Department of Physiology & Biomedical Engineering, 200 1st Street SW, Rochester MN 55905
| | - Arnaud Delorme
- Swartz Center of Computational Neuroscience, INC, University of California San Diego, La Jolla CA 92093
| | - Scott Makeig
- Swartz Center of Computational Neuroscience, INC, University of California San Diego, La Jolla CA 92093
| | - Brendan Behan
- Ontario Brain Institute, 1 Richmond Street West, Toronto ON M5H 3W4, Canada
| | | | | | - Zhengjia Wang
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia PA 19104
| | - John Magnotti
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia PA 19104
| | - Michael S Beauchamp
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, 3700 Hamilton Walk, Philadelphia PA 19104
| | - Nader Pouratian
- Department of Neurological Surgery, University of Texas Southwestern Medical Center, 5303 Harry Hines Blvd, Dallas TX 75390
| | - Arthur W Toga
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
| | - Dominique Duncan
- Laboratory of Neuro Imaging, USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of USC, University of Southern California, 2025 Zonal Avenue, Los Angeles CA 90033
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Frank AC, Li R, Peterson BS, Narayanan SS. Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review. JMIR Ment Health 2023; 10:e45572. [PMID: 37463010 PMCID: PMC10394606 DOI: 10.2196/45572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 05/27/2023] [Accepted: 06/13/2023] [Indexed: 07/21/2023] Open
Abstract
BACKGROUND Smartphones and wearable biosensors can continuously and passively measure aspects of behavior and physiology while also collecting data that require user input. These devices can potentially be used to monitor symptom burden; estimate diagnosis and risk for relapse; predict treatment response; and deliver digital interventions in patients with obsessive-compulsive disorder (OCD), a prevalent and disabling psychiatric condition that often follows a chronic and fluctuating course and may uniquely benefit from these technologies. OBJECTIVE Given the speed at which mobile and wearable technologies are being developed and implemented in clinical settings, a continual reappraisal of this field is needed. In this scoping review, we map the literature on the use of wearable devices and smartphone-based devices or apps in the assessment, monitoring, or treatment of OCD. METHODS In July 2022 and April 2023, we conducted an initial search and an updated search, respectively, of multiple databases, including PubMed, Embase, APA PsycINFO, and Web of Science, with no restriction on publication period, using the following search strategy: ("OCD" OR "obsessive" OR "obsessive-compulsive") AND ("smartphone" OR "phone" OR "wearable" OR "sensing" OR "biofeedback" OR "neurofeedback" OR "neuro feedback" OR "digital" OR "phenotyping" OR "mobile" OR "heart rate variability" OR "actigraphy" OR "actimetry" OR "biosignals" OR "biomarker" OR "signals" OR "mobile health"). RESULTS We analyzed 2748 articles, reviewed the full text of 77 articles, and extracted data from the 25 articles included in this review. We divided our review into the following three parts: studies without digital or mobile intervention and with passive data collection, studies without digital or mobile intervention and with active or mixed data collection, and studies with a digital or mobile intervention. CONCLUSIONS Use of mobile and wearable technologies for OCD has developed primarily in the past 15 years, with an increasing pace of related publications. Passive measures from actigraphy generally match subjective reports. Ecological momentary assessment is well tolerated for the naturalistic assessment of symptoms, may capture novel OCD symptoms, and may also document lower symptom burden than retrospective recall. Digital or mobile treatments are diverse; however, they generally provide some improvement in OCD symptom burden. Finally, ongoing work is needed for a safe and trusted uptake of technology by patients and providers.
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Affiliation(s)
- Adam C Frank
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Ruibei Li
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Bradley S Peterson
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- Division of Child and Adolescent Psychiatry, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Shrikanth S Narayanan
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States
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17
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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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18
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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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19
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Stangl M, Maoz SL, Suthana N. Mobile cognition: imaging the human brain in the 'real world'. Nat Rev Neurosci 2023; 24:347-362. [PMID: 37046077 PMCID: PMC10642288 DOI: 10.1038/s41583-023-00692-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2023] [Indexed: 04/14/2023]
Abstract
Cognitive neuroscience studies in humans have enabled decades of impactful discoveries but have primarily been limited to recording the brain activity of immobile participants in a laboratory setting. In recent years, advances in neuroimaging technologies have enabled recordings of human brain activity to be obtained during freely moving behaviours in the real world. Here, we propose that these mobile neuroimaging methods can provide unique insights into the neural mechanisms of human cognition and contribute to the development of novel treatments for neurological and psychiatric disorders. We further discuss the challenges associated with studying naturalistic human behaviours in complex real-world settings as well as strategies for overcoming them. We conclude that mobile neuroimaging methods have the potential to bring about a new era of cognitive neuroscience in which neural mechanisms can be studied with increased ecological validity and with the ability to address questions about natural behaviour and cognitive processes in humans engaged in dynamic real-world experiences.
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Affiliation(s)
- Matthias Stangl
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behaviour, University of California, Los Angeles, Los Angeles, CA, USA.
| | - Sabrina L Maoz
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Nanthia Suthana
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behaviour, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA.
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20
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Najera RA, Provenza N, Dang H, Katlowitz KA, Hertz A, Reddy S, Shofty B, Bellows ST, Storch EA, Goodman WK, Sheth SA. Dual-Target Deep Brain Stimulation for Obsessive-Compulsive Disorder and Tourette Syndrome. Biol Psychiatry 2023; 93:e53-e55. [PMID: 36863881 PMCID: PMC11166381 DOI: 10.1016/j.biopsych.2023.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 03/04/2023]
Affiliation(s)
- Ricardo A Najera
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Nicole Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Huy Dang
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | | | - Alyssa Hertz
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Sandesh Reddy
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas
| | - Ben Shofty
- Department of Neurosurgery, University of Utah, Salt Lake City, Utah
| | - Steven T Bellows
- Department of Neurology, Baylor College of Medicine, Houston, Texas
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Wayne K Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas.
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21
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Gill JL, Schneiders JA, Stangl M, Aghajan ZM, Vallejo M, Hiller S, Topalovic U, Inman CS, Villaroman D, Bari A, Adhikari A, Rao VR, Fanselow MS, Craske MG, Krahl SE, Chen JWY, Vick M, Hasulak NR, Kao JC, Koek RJ, Suthana N, Langevin JP. A pilot study of closed-loop neuromodulation for treatment-resistant post-traumatic stress disorder. Nat Commun 2023; 14:2997. [PMID: 37225710 PMCID: PMC10209131 DOI: 10.1038/s41467-023-38712-1] [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] [Received: 01/03/2023] [Accepted: 05/12/2023] [Indexed: 05/26/2023] Open
Abstract
The neurophysiological mechanisms in the human amygdala that underlie post-traumatic stress disorder (PTSD) remain poorly understood. In a first-of-its-kind pilot study, we recorded intracranial electroencephalographic data longitudinally (over one year) in two male individuals with amygdala electrodes implanted for the management of treatment-resistant PTSD (TR-PTSD) under clinical trial NCT04152993. To determine electrophysiological signatures related to emotionally aversive and clinically relevant states (trial primary endpoint), we characterized neural activity during unpleasant portions of three separate paradigms (negative emotional image viewing, listening to recordings of participant-specific trauma-related memories, and at-home-periods of symptom exacerbation). We found selective increases in amygdala theta (5-9 Hz) bandpower across all three negative experiences. Subsequent use of elevations in low-frequency amygdala bandpower as a trigger for closed-loop neuromodulation led to significant reductions in TR-PTSD symptoms (trial secondary endpoint) following one year of treatment as well as reductions in aversive-related amygdala theta activity. Altogether, our findings provide early evidence that elevated amygdala theta activity across a range of negative-related behavioral states may be a promising target for future closed-loop neuromodulation therapies in PTSD.
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Affiliation(s)
- Jay L Gill
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Medical Scientist Training Program, University of California, Los Angeles, CA, USA
| | - Julia A Schneiders
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Research and Development Service; Department of Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Matthias Stangl
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Zahra M Aghajan
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Neurosurgery, University of California, Los Angeles, CA, USA
| | - Mauricio Vallejo
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Sonja Hiller
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Uros Topalovic
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA
| | - Cory S Inman
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | - Diane Villaroman
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Ausaf Bari
- Department of Neurosurgery, University of California, Los Angeles, CA, USA
| | - Avishek Adhikari
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Vikram R Rao
- Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Michael S Fanselow
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Michelle G Craske
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Psychology, University of California, Los Angeles, CA, USA
| | - Scott E Krahl
- Research and Development Service; Department of Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Department of Neurosurgery, University of California, Los Angeles, CA, USA
| | - James W Y Chen
- Neurology Service; Department of Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
- Department of Neurology, University of California, Los Angeles, CA, USA
| | | | - Nicholas R Hasulak
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Phoenix Research Consulting LLC, Gilbert, AZ, USA
| | - Jonathan C Kao
- Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA
| | - Ralph J Koek
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Psychiatry and Mental Health Service; Department of Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Nanthia Suthana
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA.
- Department of Neurosurgery, University of California, Los Angeles, CA, USA.
- Department of Psychology, University of California, Los Angeles, CA, USA.
- Department of Bioengineering, University of California, Los Angeles, CA, USA.
| | - Jean-Philippe Langevin
- Department of Neurosurgery, University of California, Los Angeles, CA, USA.
- Neurosurgery Service; Department of Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
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22
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Nagrale SS, Yousefi A, Netoff TI, Widge AS. In silicodevelopment and validation of Bayesian methods for optimizing deep brain stimulation to enhance cognitive control. J Neural Eng 2023; 20:036015. [PMID: 37105164 PMCID: PMC10193041 DOI: 10.1088/1741-2552/acd0d5] [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] [Received: 08/30/2022] [Revised: 03/18/2023] [Accepted: 04/27/2023] [Indexed: 04/29/2023]
Abstract
Objective.deep brain stimulation (DBS) of the ventral internal capsule/striatum (VCVS) is a potentially effective treatment for several mental health disorders when conventional therapeutics fail. Its effectiveness, however, depends on correct programming to engage VCVS sub-circuits. VCVS programming is currently an iterative, time-consuming process, with weeks between setting changes and reliance on noisy, subjective self-reports. An objective measure of circuit engagement might allow individual settings to be tested in seconds to minutes, reducing the time to response and increasing patient and clinician confidence in the chosen settings. Here, we present an approach to measuring and optimizing that circuit engagement.Approach.we leverage prior results showing that effective VCVS DBS engages cognitive control circuitry and improves performance on the multi-source interference task, that this engagement depends primarily on which contact(s) are activated, and that circuit engagement can be tracked through a state space modeling framework. We develop a simulation framework based on those empirical results, then combine this framework with an adaptive optimizer to simulate a principled exploration of electrode contacts and identify the contacts that maximally improve cognitive control. We explore multiple optimization options (algorithms, number of inputs, speed of stimulation parameter changes) and compare them on problems of varying difficulty.Main results.we show that an upper confidence bound algorithm outperforms other optimizers, with roughly 80% probability of convergence to a global optimum when used in a majority-vote ensemble.Significance.we show that the optimization can converge even with lag between stimulation and effect, and that a complete optimization can be done in a clinically feasible timespan (a few hours). Further, the approach requires no specialized recording or imaging hardware, and thus could be a scalable path to expand the use of DBS in psychiatric and other non-motor applications.
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Affiliation(s)
- Sumedh S Nagrale
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States of America
| | - Ali Yousefi
- Department of Computer Science, Worcester Polytechnic Institute, Worcester, MA, United States of America
| | - Theoden I Netoff
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States of America
| | - Alik S Widge
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, United States of America
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23
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Neumann WJ, Gilron R, Little S, Tinkhauser G. Adaptive Deep Brain Stimulation: From Experimental Evidence Toward Practical Implementation. Mov Disord 2023. [PMID: 37148553 DOI: 10.1002/mds.29415] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 03/27/2023] [Accepted: 04/05/2023] [Indexed: 05/08/2023] Open
Abstract
Closed-loop adaptive deep brain stimulation (aDBS) can deliver individualized therapy at an unprecedented temporal precision for neurological disorders. This has the potential to lead to a breakthrough in neurotechnology, but the translation to clinical practice remains a significant challenge. Via bidirectional implantable brain-computer-interfaces that have become commercially available, aDBS can now sense and selectively modulate pathophysiological brain circuit activity. Pilot studies investigating different aDBS control strategies showed promising results, but the short experimental study designs have not yet supported individualized analyses of patient-specific factors in biomarker and therapeutic response dynamics. Notwithstanding the clear theoretical advantages of a patient-tailored approach, these new stimulation possibilities open a vast and mostly unexplored parameter space, leading to practical hurdles in the implementation and development of clinical trials. Therefore, a thorough understanding of the neurophysiological and neurotechnological aspects related to aDBS is crucial to develop evidence-based treatment regimens for clinical practice. Therapeutic success of aDBS will depend on the integrated development of strategies for feedback signal identification, artifact mitigation, signal processing, and control policy adjustment, for precise stimulation delivery tailored to individual patients. The present review introduces the reader to the neurophysiological foundation of aDBS for Parkinson's disease (PD) and other network disorders, explains currently available aDBS control policies, and highlights practical pitfalls and difficulties to be addressed in the upcoming years. Finally, it highlights the importance of interdisciplinary clinical neurotechnological research within and across DBS centers, toward an individualized patient-centered approach to invasive brain stimulation. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Wolf-Julian Neumann
- Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Simon Little
- Movement Disorders and Neuromodulation Centre, University of California San Francisco, San Francisco, California, USA
| | - Gerd Tinkhauser
- Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland
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24
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Hitti FL, Widge AS, Riva-Posse P, Malone DA, Okun MS, Shanechi MM, Foote KD, Lisanby SH, Ankudowich E, Chivukula S, Chang EF, Gunduz A, Hamani C, Feinsinger A, Kubu CS, Chiong W, Chandler JA, Carbunaru R, Cheeran B, Raike RS, Davis RA, Halpern CH, Vanegas-Arroyave N, Markovic D, Bick SK, McIntyre CC, Richardson RM, Dougherty DD, Kopell BH, Sweet JA, Goodman WK, Sheth SA, Pouratian N. Future directions in psychiatric neurosurgery: Proceedings of the 2022 American Society for Stereotactic and Functional Neurosurgery meeting on surgical neuromodulation for psychiatric disorders. Brain Stimul 2023; 16:867-878. [PMID: 37217075 DOI: 10.1016/j.brs.2023.05.011] [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] [Received: 04/05/2023] [Revised: 05/10/2023] [Accepted: 05/14/2023] [Indexed: 05/24/2023] Open
Abstract
OBJECTIVE Despite advances in the treatment of psychiatric diseases, currently available therapies do not provide sufficient and durable relief for as many as 30-40% of patients. Neuromodulation, including deep brain stimulation (DBS), has emerged as a potential therapy for persistent disabling disease, however it has not yet gained widespread adoption. In 2016, the American Society for Stereotactic and Functional Neurosurgery (ASSFN) convened a meeting with leaders in the field to discuss a roadmap for the path forward. A follow-up meeting in 2022 aimed to review the current state of the field and to identify critical barriers and milestones for progress. DESIGN The ASSFN convened a meeting on June 3, 2022 in Atlanta, Georgia and included leaders from the fields of neurology, neurosurgery, and psychiatry along with colleagues from industry, government, ethics, and law. The goal was to review the current state of the field, assess for advances or setbacks in the interim six years, and suggest a future path forward. The participants focused on five areas of interest: interdisciplinary engagement, regulatory pathways and trial design, disease biomarkers, ethics of psychiatric surgery, and resource allocation/prioritization. The proceedings are summarized here. CONCLUSION The field of surgical psychiatry has made significant progress since our last expert meeting. Although weakness and threats to the development of novel surgical therapies exist, the identified strengths and opportunities promise to move the field through methodically rigorous and biologically-based approaches. The experts agree that ethics, law, patient engagement, and multidisciplinary teams will be critical to any potential growth in this area.
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Affiliation(s)
- Frederick L Hitti
- Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
| | - Alik S Widge
- Department of Psychiatry and Behavioral Sciences, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Patricio Riva-Posse
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Donald A Malone
- Department of Psychiatry, Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
| | - Michael S Okun
- Department of Neurology, Norman Fixel Institute for Neurological Diseases, Gainesville, FL, USA
| | - Maryam M Shanechi
- Departments of Electrical and Computer Engineering and Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Kelly D Foote
- Department of Neurosurgery, Norman Fixel Institute for Neurological Diseases, Gainesville, FL, USA
| | - Sarah H Lisanby
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Elizabeth Ankudowich
- Division of Translational Research, National Institute of Mental Health, Bethesda, MD, USA
| | - Srinivas Chivukula
- Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Edward F Chang
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
| | - Aysegul Gunduz
- Department of Biomedical Engineering and Fixel Institute for Neurological Disorders, University of Florida, Gainesville, FL, USA
| | - Clement Hamani
- Sunnybrook Research Institute, Hurvitz Brain Sciences Centre, Harquail Centre for Neuromodulation, Division of Neurosurgery, University of Toronto, Toronto, Canada
| | - Ashley Feinsinger
- Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Cynthia S Kubu
- Department of Neurology, Cleveland Clinic and Case Western Reserve University, School of Medicine, Cleveland, OH, USA
| | - Winston Chiong
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Jennifer A Chandler
- Faculty of Law, University of Ottawa, Ottawa, ON, USA; Affiliate Investigator, Bruyère Research Institute, Ottawa, ON, USA
| | | | | | - Robert S Raike
- Global Research Organization, Medtronic Inc. Neuromodulation, Minneapolis, MN, USA
| | - Rachel A Davis
- Departments of Psychiatry and Neurosurgery, University of Colorado Anschutz, Aurora, CO, USA
| | - Casey H Halpern
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; The Cpl Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA
| | | | - Dejan Markovic
- Department of Electrical Engineering, University of California Los Angeles, Los Angeles, CA, USA
| | - Sarah K Bick
- Department of Neurological Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Cameron C McIntyre
- Departments of Biomedical Engineering and Neurosurgery, Duke University, Durham, NC, USA
| | - R Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA, USA
| | - Darin D Dougherty
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Brian H Kopell
- Department of Neurosurgery, Center for Neuromodulation, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jennifer A Sweet
- Department of Neurosurgery, University Hospitals Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Wayne K Goodman
- Department of Psychiatry and Behavior Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Nader Pouratian
- Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
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25
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Zhang W, Xiong B, Wu Y, Xiao L, Wang W. Local field potentials in major depressive and obsessive-compulsive disorder: a frequency-based review. Front Psychiatry 2023; 14:1080260. [PMID: 37181878 PMCID: PMC10169609 DOI: 10.3389/fpsyt.2023.1080260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 04/10/2023] [Indexed: 05/16/2023] Open
Abstract
Objectives The purpose of this paper is to provide a mini-review covering the recent progress in human and animal studies on local field potentials (LFPs) of major depressive disorder (MDD) and obsessive-compulsive disorder (OCD). Materials and methods PubMed and EMBASE were searched to identify related studies. Inclusion criteria were (1) reported the LFPs on OCD or MDD, (2) published in English, and (3) human or animal studies. Exclusion criteria were (1) review or meta-analysis or other literature types without original data and (2) conference abstract without full text. Descriptive synthesis of data was performed. Results Eight studies on LFPs of OCD containing 22 patients and 32 rats were included: seven were observational studies with no controls, and one animal study included a randomized and controlled phase. Ten studies on LFPs of MDD containing 71 patients and 52 rats were included: seven were observational studies with no controls, one study with control, and two animal studies included a randomized and controlled phase. Conclusion The available studies revealed that different frequency bands were associated with specific symptoms. Low frequency activity seemed to be closely related to OCD symptoms, whereas LFPs findings in patients with MDD were more complicated. However, limitations of recent studies restrict the drawing of definite conclusions. Combined with other measures such as Electroencephalogram, Electrocorticography, or Magnetoencephalography and long-term recordings in various physiological states (rest state, sleep state, task state) could help to improve the understanding of potential mechanisms.
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Affiliation(s)
| | | | | | | | - Wei Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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26
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Fridgeirsson EA, Bais MN, Eijsker N, Thomas RM, Smit DJA, Bergfeld IO, Schuurman PR, van den Munckhof P, de Koning P, Vulink N, Figee M, Mazaheri A, van Wingen GA, Denys D. Patient specific intracranial neural signatures of obsessions and compulsions in the ventral striatum. J Neural Eng 2023; 20. [PMID: 36827705 DOI: 10.1088/1741-2552/acbee1] [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: 04/03/2022] [Accepted: 02/24/2023] [Indexed: 02/26/2023]
Abstract
Objective. Deep brain stimulation is a treatment option for patients with refractory obsessive-compulsive disorder. A new generation of stimulators hold promise for closed loop stimulation, with adaptive stimulation in response to biologic signals. Here we aimed to discover a suitable biomarker in the ventral striatum in patients with obsessive compulsive disorder using local field potentials.Approach.We induced obsessions and compulsions in 11 patients undergoing deep brain stimulation treatment using a symptom provocation task. Then we trained machine learning models to predict symptoms using the recorded intracranial signal from the deep brain stimulation electrodes.Main results.Average areas under the receiver operating characteristics curve were 62.1% for obsessions and 78.2% for compulsions for patient specific models. For obsessions it reached over 85% in one patient, whereas performance was near chance level when the model was trained across patients. Optimal performances for obsessions and compulsions was obtained at different recording sites.Significance. The results from this study suggest that closed loop stimulation may be a viable option for obsessive-compulsive disorder, but that intracranial biomarkers are patient and not disorder specific.Clinical Trial:Netherlands trial registry NL7486.
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Affiliation(s)
- Egill A Fridgeirsson
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - Melisse N Bais
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - Nadine Eijsker
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - Rajat M Thomas
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - Dirk J A Smit
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - Isidoor O Bergfeld
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - P Richard Schuurman
- Department of Neurosurgery, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Pepijn van den Munckhof
- Department of Neurosurgery, Amsterdam UMC, University of Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Pelle de Koning
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Nienke Vulink
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Martijn Figee
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Ali Mazaheri
- School of Psychology, University of Birmingham, Birmingham, United Kingdom.,Centre for Human Brain Health, University of Birmingham, Birmingham, United Kingdom
| | - Guido A van Wingen
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands.,Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, The Netherlands
| | - Damiaan Denys
- Department of Psychiatry, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.,Amsterdam Neuroscience, Amsterdam, The Netherlands.,The Netherlands institute for Neuroscience, an Institute of the Royal Netherlands Academy of Arts and Sciences, Amsterdam, The Netherlands
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27
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Shofty B, Gadot R, Provenza N, Storch EA, Goodman WK, Sheth SA. Neurosurgical Approaches for Treatment-Resistant Obsessive-Compulsive Disorder. Psychiatr Clin North Am 2023; 46:121-132. [PMID: 36740348 DOI: 10.1016/j.psc.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Treatment-resistant obsessive-compulsive disorder (trOCD) is a severely disabling, life-threatening psychiatric disorder affecting ∼0.5% of the US population. Following the failure of multiple medical and psychotherapeutic treatment lines, patients with trOCD, like others with functional disorders, may benefit from invasive neuromodulation. Cumulative evidence suggests that disrupting abnormal hyperdirect cortico-striato-thalamo-cortical (CSTC) pathway activity offers sustainable, robust symptomatic relief in most patients. Multiple surgical approaches allow for modulation of the CSTC pathway, including stereotactic lesions and electrical stimulation. This review aims to describe the modern neurosurgical approaches for trOCD, recent advances in our understanding of pathophysiology, and future therapeutic directions.
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Affiliation(s)
- Ben Shofty
- Department of Neurosurgery, University of Utah, 175 North Medical Drive East, 5th Floor, Salt Lake City, UT 84132, USA
| | - Ron Gadot
- Department of Neurosurgery, Baylor College of Medicine, 7200 Cambridge Street Suite 9A, Houston, TX 77030, USA
| | - Nicole Provenza
- Department of Neurosurgery, Baylor College of Medicine, 7200 Cambridge Street Suite 9A, Houston, TX 77030, USA
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, 7200 Cambridge Street, Houston, TX 77030, USA
| | - Wayne K Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, 7200 Cambridge Street, Houston, TX 77030, USA
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, 7200 Cambridge Street Suite 9A, Houston, TX 77030, USA; Department of Psychiatry, Baylor College of Medicine, 7200 Cambridge Street, Houston, TX 77030, USA.
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28
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Wong JK, Mayberg HS, Wang DD, Richardson RM, Halpern CH, Krinke L, Arlotti M, Rossi L, Priori A, Marceglia S, Gilron R, Cavanagh JF, Judy JW, Miocinovic S, Devergnas AD, Sillitoe RV, Cernera S, Oehrn CR, Gunduz A, Goodman WK, Petersen EA, Bronte-Stewart H, Raike RS, Malekmohammadi M, Greene D, Heiden P, Tan H, Volkmann J, Voon V, Li L, Sah P, Coyne T, Silburn PA, Kubu CS, Wexler A, Chandler J, Provenza NR, Heilbronner SR, Luciano MS, Rozell CJ, Fox MD, de Hemptinne C, Henderson JM, Sheth SA, Okun MS. Proceedings of the 10th annual deep brain stimulation think tank: Advances in cutting edge technologies, artificial intelligence, neuromodulation, neuroethics, interventional psychiatry, and women in neuromodulation. Front Hum Neurosci 2023; 16:1084782. [PMID: 36819295 PMCID: PMC9933515 DOI: 10.3389/fnhum.2022.1084782] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 12/12/2022] [Indexed: 02/05/2023] Open
Abstract
The deep brain stimulation (DBS) Think Tank X was held on August 17-19, 2022 in Orlando FL. The session organizers and moderators were all women with the theme women in neuromodulation. Dr. Helen Mayberg from Mt. Sinai, NY was the keynote speaker. She discussed milestones and her experiences in developing depression DBS. The DBS Think Tank was founded in 2012 and provides an open platform where clinicians, engineers and researchers (from industry and academia) can freely discuss current and emerging DBS technologies as well as the logistical and ethical issues facing the field. The consensus among the DBS Think Tank X speakers was that DBS has continued to expand in scope however several indications have reached the "trough of disillusionment." DBS for depression was considered as "re-emerging" and approaching a slope of enlightenment. DBS for depression will soon re-enter clinical trials. The group estimated that globally more than 244,000 DBS devices have been implanted for neurological and neuropsychiatric disorders. This year's meeting was focused on advances in the following areas: neuromodulation in Europe, Asia, and Australia; cutting-edge technologies, closed loop DBS, DBS tele-health, neuroethics, lesion therapy, interventional psychiatry, and adaptive DBS.
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Affiliation(s)
- Joshua K. Wong
- Department of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
| | - Helen S. Mayberg
- Department of Neurology, Neurosurgery, Psychiatry, and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Doris D. Wang
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - R. Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
| | - Casey H. Halpern
- Richards Medical Research Laboratories, Department of Neurosurgery, Perelman School of Medicine, Pennsylvania Hospital, University of Pennsylvania, Philadelphia, PA, United States
| | - Lothar Krinke
- Newronika, Goose Creek, SC, United States
- Department of Neuroscience, West Virginia University, Morgantown, WV, United States
| | | | | | | | | | | | - James F. Cavanagh
- Department of Psychology, University of New Mexico, Albuquerque, NM, United States
| | - Jack W. Judy
- Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, United States
| | - Svjetlana Miocinovic
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States
| | - Annaelle D. Devergnas
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States
| | - Roy V. Sillitoe
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, United States
| | - Stephanie Cernera
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Carina R. Oehrn
- Department of Neurological Surgery, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Aysegul Gunduz
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
| | - Wayne K. Goodman
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Erika A. Petersen
- Department of Neurosurgery, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Helen Bronte-Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Robert S. Raike
- Restorative Therapies Group Implantables, Research, and Core Technology, Medtronic Inc., Minneapolis, MN, United States
| | | | - David Greene
- NeuroPace, Inc., Mountain View, CA, United States
| | - Petra Heiden
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Huiling Tan
- Medical Research Council Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Jens Volkmann
- Department of Neurology, University of Würzburg, Würzburg, Germany
| | - Valerie Voon
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Luming Li
- National Engineering Research Center of Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Pankaj Sah
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Terry Coyne
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Peter A. Silburn
- Queensland Brain Institute, University of Queensland, St Lucia, QLD, Australia
| | - Cynthia S. Kubu
- Department of Neurology, Cleveland Clinic, Cleveland, OH, United States
| | - Anna Wexler
- Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA, United States
| | - Jennifer Chandler
- Centre for Health Law, Policy, and Ethics, Faculty of Law, University of Ottawa, Ottawa, ON, Canada
| | - Nicole R. Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Sarah R. Heilbronner
- Department of Neuroscience, University of Minnesota, Minneapolis, MN, United States
| | - Marta San Luciano
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Christopher J. Rozell
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States
| | - Michael D. Fox
- Center for Brain Circuit Therapeutics, Department of Neurology, Psychiatry, Radiology, and Neurosurgery, Brigham and Women’s Hospital, Boston, MA, United States
| | - Coralie de Hemptinne
- Department of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
| | - Jaimie M. Henderson
- Department of Neurosurgery, Stanford University, Stanford, CA, United States
| | - Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Michael S. Okun
- Department of Neurology, Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States
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29
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Preventing incubation of drug craving to treat drug relapse: from bench to bedside. Mol Psychiatry 2023; 28:1415-1429. [PMID: 36646901 DOI: 10.1038/s41380-023-01942-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 12/24/2022] [Accepted: 01/06/2023] [Indexed: 01/17/2023]
Abstract
In 1986, Gawin and Kleber reported a progressive increase in cue-induced drug craving in individuals with cocaine use disorders during prolonged abstinence. After years of controversy, as of 2001, this phenomenon was confirmed in rodent studies using self-administration model, and defined as the incubation of drug craving. The intensification of cue-induced drug craving after withdrawal exposes abstinent individuals to a high risk of relapse, which urged us to develop effective interventions to prevent incubated craving. Substantial achievements have been made in deciphering the neural mechanisms, with potential implications for reducing drug craving and preventing the relapse. The present review discusses promising drug targets that have been well investigated in animal studies, including some neurotransmitters, neuropeptides, neurotrophic factors, and epigenetic markers. We also discuss translational exploitation and challenges in the field of the incubation of drug craving, providing insights into future investigations and highlighting the potential of pharmacological interventions, environment-based interventions, and neuromodulation techniques.
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30
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Alarie ME, Provenza NR, Avendano-Ortega M, McKay SA, Waite AS, Mathura RK, Herron JA, Sheth SA, Borton DA, Goodman WK. Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional deep brain stimulation platforms. Front Hum Neurosci 2022; 16:1016379. [PMID: 36337849 PMCID: PMC9626519 DOI: 10.3389/fnhum.2022.1016379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 10/03/2022] [Indexed: 11/30/2022] Open
Abstract
Bidirectional deep brain stimulation (DBS) platforms have enabled a surge in hours of recordings in naturalistic environments, allowing further insight into neurological and psychiatric disease states. However, high amplitude, high frequency stimulation generates artifacts that contaminate neural signals and hinder our ability to interpret the data. This is especially true in psychiatric disorders, for which high amplitude stimulation is commonly applied to deep brain structures where the native neural activity is miniscule in comparison. Here, we characterized artifact sources in recordings from a bidirectional DBS platform, the Medtronic Summit RC + S, with the goal of optimizing recording configurations to improve signal to noise ratio (SNR). Data were collected from three subjects in a clinical trial of DBS for obsessive-compulsive disorder. Stimulation was provided bilaterally to the ventral capsule/ventral striatum (VC/VS) using two independent implantable neurostimulators. We first manipulated DBS amplitude within safe limits (2–5.3 mA) to characterize the impact of stimulation artifacts on neural recordings. We found that high amplitude stimulation produces slew overflow, defined as exceeding the rate of change that the analog to digital converter can accurately measure. Overflow led to expanded spectral distortion of the stimulation artifact, with a six fold increase in the bandwidth of the 150.6 Hz stimulation artifact from 147–153 to 140–180 Hz. By increasing sense blank values during high amplitude stimulation, we reduced overflow by as much as 30% and improved artifact distortion, reducing the bandwidth from 140–180 Hz artifact to 147–153 Hz. We also identified artifacts that shifted in frequency through modulation of telemetry parameters. We found that telemetry ratio changes led to predictable shifts in the center-frequencies of the associated artifacts, allowing us to proactively shift the artifacts outside of our frequency range of interest. Overall, the artifact characterization methods and results described here enable increased data interpretability and unconstrained biomarker exploration using data collected from bidirectional DBS devices.
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Affiliation(s)
| | - Nicole R. Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Michelle Avendano-Ortega
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Sarah A. McKay
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Ayan S. Waite
- Brown University School of Engineering, Providence, RI, United States
| | - Raissa K. Mathura
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Jeffrey A. Herron
- Department of Neurological Surgery, University of Washington, Seattle, WA, United States
| | - Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - David A. Borton
- Brown University School of Engineering, Providence, RI, United States
- Department of Veterans Affairs, Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, Providence, RI, United States
| | - Wayne K. Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
- *Correspondence: Wayne K. Goodman,
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31
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Chen P, Kim T, Dastin-van Rijn E, Provenza NR, Sheth SA, Goodman WK, Borton DA, Harrison MT, Darbon J. Periodic Artifact Removal With Applications to Deep Brain Stimulation. IEEE Trans Neural Syst Rehabil Eng 2022; 30:2692-2699. [PMID: 36121940 PMCID: PMC9553325 DOI: 10.1109/tnsre.2022.3205453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Deep brain stimulation (DBS) therapies have shown clinical success in the treatment of a number of neurological illnesses, including obsessive-compulsive disorder, epilepsy, and Parkinson's disease. An emerging strategy for increasing the efficacy of DBS therapies is to develop closed-loop, adaptive DBS systems that can sense biomarkers associated with particular symptoms and in response, adjust DBS parameters in real-time. The development of such systems requires extensive analysis of the underlying neural signals while DBS is on, so that candidate biomarkers can be identified and the effects of varying the DBS parameters can be better understood. However, DBS creates high amplitude, high frequency stimulation artifacts that prevent the underlying neural signals and thus the biological mechanisms underlying DBS from being analyzed. Additionally, DBS devices often require low sampling rates, which alias the artifact frequency, and rely on wireless data transmission methods that can create signal recordings with missing data of unknown length. Thus, traditional artifact removal methods cannot be applied to this setting. We present a novel periodic artifact removal algorithm for DBS applications that can accurately remove stimulation artifacts in the presence of missing data and in some cases where the stimulation frequency exceeds the Nyquist frequency. The numerical examples suggest that, if implemented on dedicated hardware, this algorithm has the potential to be used in embedded closed-loop DBS therapies to remove DBS stimulation artifacts and hence, to aid in the discovery of candidate biomarkers in real-time. Code for our proposed algorithm is publicly available on Github.
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32
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Vissani M, Nanda P, Bush A, Neudorfer C, Dougherty D, Richardson RM. Toward Closed-Loop Intracranial Neurostimulation in Obsessive-Compulsive Disorder. Biol Psychiatry 2022; 93:e43-e46. [PMID: 36123196 DOI: 10.1016/j.biopsych.2022.07.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 07/07/2022] [Accepted: 07/08/2022] [Indexed: 11/02/2022]
Affiliation(s)
- Matteo Vissani
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Pranav Nanda
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Alan Bush
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts
| | - Clemens Neudorfer
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts
| | - Darin Dougherty
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
| | - R Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
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33
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Visser-Vandewalle V, Andrade P, Mosley PE, Greenberg BD, Schuurman R, McLaughlin NC, Voon V, Krack P, Foote KD, Mayberg HS, Figee M, Kopell BH, Polosan M, Joyce EM, Chabardes S, Matthews K, Baldermann JC, Tyagi H, Holtzheimer PE, Bervoets C, Hamani C, Karachi C, Denys D, Zrinzo L, Blomstedt P, Naesström M, Abosch A, Rasmussen S, Coenen VA, Schlaepfer TE, Dougherty DD, Domenech P, Silburn P, Giordano J, Lozano AM, Sheth SA, Coyne T, Kuhn J, Mallet L, Nuttin B, Hariz M, Okun MS. Deep brain stimulation for obsessive-compulsive disorder: a crisis of access. Nat Med 2022; 28:1529-1532. [PMID: 35840727 DOI: 10.1038/s41591-022-01879-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Veerle Visser-Vandewalle
- Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne, and Faculty of Medicine, University of Cologne, Cologne, Germany.
| | - Pablo Andrade
- Department of Stereotactic and Functional Neurosurgery, University Hospital Cologne, and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Philip E Mosley
- Clinical Brain Networks Group, QIMR Berghofer Medical Research Institute, and Queensland Brain Institute, Brisbane, Queensland, Australia
| | - Benjamin D Greenberg
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.,Center for Neuromodulation, Butler Hospital, Providence, RI, USA.,RR&D Center for Neurorestoration and Neurotechnology, Providence, RI, USA
| | - Rick Schuurman
- Department of Neurosurgery, Amsterdam University Medical Centers, Location AMC, Amsterdam, the Netherlands
| | - Nicole C McLaughlin
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.,Behavioral Medicine and Addictions Research, Butler Hospital, Providence, Rhode Island, USA
| | - Valerie Voon
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Paul Krack
- Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Kelly D Foote
- Department of Neurosurgery, University of Florida Health, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA
| | - Helen S Mayberg
- Departments of Neurology, Neurosurgery, Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Martijn Figee
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Brian H Kopell
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Mircea Polosan
- Fondation Fondamental, Créteil, France.,Centre Expert Troubles Bipolaires, Service Universitaire de Psychiatrie, Centre Hospitalier Universitaire de Grenoble et des Alpes, Grenoble, France.,Grenoble Institut des Neurosciences, Inserm U 836, La Tronche, France
| | - Eileen M Joyce
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology and UCLH National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and UCLH National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Stephan Chabardes
- Department of Neurosurgery, Grenoble University Hospital, Grenoble, France
| | - Keith Matthews
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, Scotland, UK
| | - Juan C Baldermann
- Department of Neurology, University Hospital Cologne, and Faculty of Medicine, University of Cologne, Cologne, Germany.,Department of Psychiatry and Psychotherapy, University Hospital Cologne, and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Himanshu Tyagi
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and UCLH National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Paul E Holtzheimer
- Departments of Psychiatry and Surgery, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Chris Bervoets
- Department of Neurosciences, Adult Psychiatry, UPC KU Leuven, Leuven, Belgium
| | - Clement Hamani
- Sunnybrook Research Institute, Division of Neurosurgery, University of Toronto, Toronto, Canada
| | - Carine Karachi
- Neurosurgery Department, Hôpital de la Salpêtrière, Groupe Hospitalier Pitié-Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Damiaan Denys
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Ludvic Zrinzo
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology and UCLH National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and UCLH National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | | | - Matilda Naesström
- Department of Clinical Sciences/Psychiatry, Umeå University, Umeå, Sweden
| | - Aviva Abosch
- Department of Neurosurgery and Department of Neurology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Steven Rasmussen
- Department of Psychiatry and Human Behavior, Alpert School of Medicine, Brown University, Providence, RI, USA.,Carney Institute for Brain Science, Brown University, Providence, RI, USA
| | - Volker A Coenen
- Department of Stereotactic and Functional Neurosurgery, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center for Deep Brain Stimulation, Freiburg University, Freiburg, Germany
| | - Thomas E Schlaepfer
- Department of Stereotactic and Functional Neurosurgery, Medical Center, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Center for Deep Brain Stimulation, Freiburg University, Freiburg, Germany
| | - Darin D Dougherty
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, MA, USA
| | - Philippe Domenech
- Département Médico-Universitaire de Psychiatrie et d'Addictologie, Assistance Publique-Hôpitaux de Paris, Le Groupe Hospitalier Universitaire Henri Mondor, Université Paris-Est, Créteil, France.,Institut du Cerveau, Inserm U1127, CNRS UMR7225, Sorbonne Université, Paris, France
| | - Peter Silburn
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - James Giordano
- Department of Neurology, Georgetown University Medical Center, Washington, DC, USA.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, USA.,Neuroethics Studies Program, Pellegrino Center for Clinical Bioethics, Georgetown University, Washington, DC, USA
| | - Andres M Lozano
- Department of Neurosurgery and Neuroscience, Toronto Western Hospital, Toronto, Ontario, Canada
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Terry Coyne
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Jens Kuhn
- Department of Psychiatry and Psychotherapy, University Hospital Cologne, and Faculty of Medicine, University of Cologne, Cologne, Germany.,Department of Psychiatry, Psychotherapy, and Psychosomatics, Johanniter Hospital Oberhausen, Oberhausen, Germany
| | - Luc Mallet
- Département Médical-Universitaire de Psychiatrie et d'Addictologie, Hôpitaux Universitaires Henri Mondor-Albert Chenevier, Assistance Publique-Hôpitaux de Paris, University Paris-Est Créteil, Créteil, France.,Institut du Cerveau, Paris Brain Institute, Inserm, CNRS, Sorbonne Université, Paris, France.,Department of Mental Health and Psychiatry, Global Health Institute, University of Geneva, Geneva, Switzerland
| | - Bart Nuttin
- Department of Neurosurgery, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Marwan Hariz
- Unit of Functional Neurosurgery, UCL Queen Square Institute of Neurology and UCLH National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and UCLH National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,Unit for Deep Brain Stimulation, Umeå University, Umeå, Sweden
| | - Michael S Okun
- Department of Neurosurgery, University of Florida Health, Gainesville, FL, USA.,Norman Fixel Institute for Neurological Diseases, University of Florida Health, Gainesville, FL, USA.,Department of Neurology, University of Florida Health, Gainesville, FL, USA
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34
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Dastin-van Rijn EM, Provenza NR, Vogt GS, Avendano-Ortega M, Sheth SA, Goodman WK, Harrison MT, Borton DA. PELP: Accounting for Missing Data in Neural Time Series by Periodic Estimation of Lost Packets. Front Hum Neurosci 2022; 16:934063. [PMID: 35874161 PMCID: PMC9301255 DOI: 10.3389/fnhum.2022.934063] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Recent advances in wireless data transmission technology have the potential to revolutionize clinical neuroscience. Today sensing-capable electrical stimulators, known as "bidirectional devices", are used to acquire chronic brain activity from humans in natural environments. However, with wireless transmission come potential failures in data transmission, and not all available devices correctly account for missing data or provide precise timing for when data losses occur. Our inability to precisely reconstruct time-domain neural signals makes it difficult to apply subsequent neural signal processing techniques and analyses. Here, our goal was to accurately reconstruct time-domain neural signals impacted by data loss during wireless transmission. Towards this end, we developed a method termed Periodic Estimation of Lost Packets (PELP). PELP leverages the highly periodic nature of stimulation artifacts to precisely determine when data losses occur. Using simulated stimulation waveforms added to human EEG data, we show that PELP is robust to a range of stimulation waveforms and noise characteristics. Then, we applied PELP to local field potential (LFP) recordings collected using an implantable, bidirectional DBS platform operating at various telemetry bandwidths. By effectively accounting for the timing of missing data, PELP enables the analysis of neural time series data collected via wireless transmission-a prerequisite for better understanding the brain-behavior relationships underlying neurological and psychiatric disorders.
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Affiliation(s)
- Evan M Dastin-van Rijn
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Gregory S Vogt
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United States
| | - Michelle Avendano-Ortega
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States
| | - Wayne K Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Matthew T Harrison
- Division of Applied Mathematics, Brown University, Providence, RI, United States
| | - David A Borton
- School of Engineering, Brown University, Providence, RI, United States.,Carney Institute for Brain Science, Brown University, Providence, RI, United States.,Center for Neurorestoration and Neurotechnology, Rehabilitation R&D Service, United States Department of Veterans Affairs, Providence, RI, United States
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Widge AS. Deep Brain Stimulation for Treatment-Resistant Mental Illness. Psychiatr Ann 2022. [DOI: 10.3928/00485713-20220621-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Luyck K, Bervoets C, Deblieck C, Nuttin B, Luyten L. Deep brain stimulation in the bed nucleus of the stria terminalis: A symptom provocation study in patients with obsessive-compulsive disorder. J Psychiatr Res 2022; 151:252-260. [PMID: 35512619 DOI: 10.1016/j.jpsychires.2022.04.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 04/22/2022] [Accepted: 04/25/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Deep brain stimulation (DBS) is an emerging therapy for treatment-resistant obsessive-compulsive disorder (OCD), and several targets for electrode implantation and contact selection have been proposed, including the bed nucleus of the stria terminalis (BST). Selecting the active electrode contacts (patients typically have four to choose from in each hemisphere), and thus the main locus of stimulation, can be a taxing process. Here, we investigated whether contact selection based purely on their neuroanatomical position in the BST is a worthwhile approach. For the first time, we also compared the effects of uni- versus bilateral BST stimulation. METHODS Nine OCD patients currently receiving DBS participated in a double-blind, randomized symptom provocation study to compare no versus BST stimulation. Primary outcomes were anxiety and mood ratings in response to disorder-relevant trigger images, as well as ratings of obsessions, compulsions, tendency to avoid and overall wellbeing. Furthermore, we asked whether patients preferred the electrode contacts in the BST over their regular stimulation contacts as a new treatment setting after the end of the task. RESULTS We found no statistically significant group differences between the four conditions (no, left, right and bilateral BST stimulation). Exploratory analyses, as well as follow-up data, did indicate that (bilateral) bipolar stimulation in the BST was beneficial for some patients, particularly for those who had achieved unsatisfactory effects through the typical contact selection procedure. CONCLUSIONS Despite its limitations, this study suggests that selection of stimulation contacts in the BST is a viable option for DBS in treatment-resistant OCD patients.
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Affiliation(s)
- Kelly Luyck
- KU Leuven, Experimental Neurosurgery and Neuroanatomy, Herestraat 49 PB 7003, 3000, Leuven, Belgium; Leuven Brain Institute, Herestraat 49 PB 1021, 3000, Leuven, Belgium
| | - Chris Bervoets
- Leuven Brain Institute, Herestraat 49 PB 1021, 3000, Leuven, Belgium; University Hospitals Leuven, Psychiatry, Campus Gasthuisberg, Herestraat 49, 3000, Leuven, Belgium
| | - Choi Deblieck
- University Hospitals Leuven, Psychiatry, Campus Gasthuisberg, Herestraat 49, 3000, Leuven, Belgium
| | - Bart Nuttin
- KU Leuven, Experimental Neurosurgery and Neuroanatomy, Herestraat 49 PB 7003, 3000, Leuven, Belgium; Leuven Brain Institute, Herestraat 49 PB 1021, 3000, Leuven, Belgium; University Hospitals Leuven, Neurosurgery, Campus Gasthuisberg, Herestraat 49, 3000, Leuven, Belgium
| | - Laura Luyten
- KU Leuven, Experimental Neurosurgery and Neuroanatomy, Herestraat 49 PB 7003, 3000, Leuven, Belgium; Leuven Brain Institute, Herestraat 49 PB 1021, 3000, Leuven, Belgium; KU Leuven, Psychology of Learning and Experimental Psychopathology, Tiensestraat 102 PB 3712, 3000, Leuven, Belgium.
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Ansó J, Benjaber M, Parks B, Parker S, Oehrn CR, Petrucci M, Gilron R, Little S, Wilt R, Bronte-Stewart H, Gunduz A, Borton D, Starr PA, Denison TJ. Concurrent stimulation and sensing in bi-directional brain interfaces: a multi-site translational experience. J Neural Eng 2022; 19. [PMID: 35234664 PMCID: PMC9095704 DOI: 10.1088/1741-2552/ac59a3] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 03/01/2022] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To provide a design analysis and guidance framework for the implementation of concurrent stimulation and sensing during adaptive deep brain stimulation (aDBS) with particular emphasis on artifact mitigations. APPROACH We defined a general architecture of feedback-enabled devices, identified key components in the signal chain which might result in unwanted artifacts and proposed methods that might ultimately enable improved aDBS therapies. We gathered data from research subjects chronically-implanted with an investigational aDBS system, Summit RC+S, to characterize and explore artifact mitigations arising from concurrent stimulation and sensing. We then used a prototype investigational implantable device, DyNeuMo, and a bench-setup that accounts for tissue-electrode properties, to confirm our observations and verify mitigations. The strategies to reduce transient stimulation artifacts and improve performance during aDBS were confirmed in a chronic implant using updated configuration settings. MAIN RESULTS We derived and validated a "checklist" of configuration settings to improve system performance and areas for future device improvement. Key considerations for the configuration include 1) active instead of passive recharge, 2) sense-channel blanking in the amplifier, 3) high-pass filter settings, 4) tissue-electrode impedance mismatch management, 5) time-frequency trade-offs in the classifier, 6) algorithm blanking and transition rate limits. Without proper channel configuration, the aDBS algorithm was susceptible to limit-cycles of oscillating stimulation independent of physiological state. By applying the checklist, we could optimize each block's performance characteristics within the overall system. With system-level optimization, a 'fast' aDBS prototype algorithm was demonstrated to be feasible without reentrant loops, and with noise performance suitable for subcortical brain circuits. SIGNIFICANCE We present a framework to study sources and propose mitigations of artifacts in devices that provide chronic aDBS. This work highlights the trade-offs in performance as novel sensing devices translate to the clinic. Finding the appropriate balance of constraints is imperative for successful translation of aDBS therapies.
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Affiliation(s)
- Juan Ansó
- Neurological Surgery, University of California San Francisco, 505 Parnassus Ave, San Francisco, San Francisco, California, 94117, UNITED STATES
| | - Moaad Benjaber
- MRC Brain Network Dynamics Unit, Nuffield Department of Clinical Neurosciences, University of Oxford, Mansfield Road Oxford, Oxford, OX1 3TH, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
| | - Brandon Parks
- Department of Electrical and Computer Engineering, University of Florida, 968 Center Dr, Gainesville, FL, Gainesville, 32603, UNITED STATES
| | - Samuel Parker
- School of Engineering and Carney Institute, Brown University, 164 Angell St 4th floor, Providence, Rhode Island, 02906, UNITED STATES
| | - Carina Renate Oehrn
- Neurological Surgery, University of California San Francisco, 505 Parnassus Ave, San Francisco, San Francisco, California, 94117, UNITED STATES
| | - Matthew Petrucci
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, 300 Pasteur Dr, Palo Alto, Stanford, California, 94304, UNITED STATES
| | - Roee Gilron
- Neurological Surgery, University of California San Francisco Medical Center at Parnassus, UCSF, 513 Parnassus, UCSF, 513 Parnassus, San Francisco, California, 94122, UNITED STATES
| | - Simon Little
- Department of Neurology, University of California San Francisco, 505 Parnassus Ave, San Francisco, San Francisco, 94143, UNITED STATES
| | - Robert Wilt
- Neurological Surgery, University of California San Francisco, 505 Parnassus Ave, San Francisco, San Francisco, California, 94117, UNITED STATES
| | - Helen Bronte-Stewart
- School of Medicine, Stanford University, Stanford, CA 94305, USA, Standford, California, 94304, UNITED STATES
| | - Aysegul Gunduz
- University of Florida, 1275 Center Drive, Biomedical Sciences Building JG56 P.O. Box 116131, Gainesville, Florida, 32611-6131, UNITED STATES
| | - David Borton
- School of Engineering, Brown University, 182 Hope Street, Providence, RI 02912, USA, Providence, Rhode Island, 02912, UNITED STATES
| | - Philip A Starr
- Neurological Surgery, University of California, San Francisco, 505 Parnassus Ave, San Francisco, San Francisco, California, 94143, UNITED STATES
| | - Timothy J Denison
- Institute of Biomedical Engineering, University of Oxford, Old Road Campus Research Building, Oxford, OX3 7DQ, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND
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