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Allawala AB, Bijanki KR, Adkinson J, Oswalt D, Tsolaki E, Mathew S, Mathura RK, Bartoli E, Provenza N, Watrous AJ, Xiao J, Pirtle V, Mocchi MM, Rajesh S, Diab N, Cohn JF, Borton DA, Goodman WK, Pouratian N, Sheth SA. Stereo-Electroencephalography-Guided Network Neuromodulation for Psychiatric Disorders: The Neurophysiology Monitoring Unit. Oper Neurosurg (Hagerstown) 2024; 27:329-336. [PMID: 39145663 PMCID: PMC11315541 DOI: 10.1227/ons.0000000000001122] [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: 08/25/2023] [Accepted: 01/19/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Recent advances in stereotactic and functional neurosurgery have brought forth the stereo-electroencephalography approach which allows deeper interrogation and characterization of the contributions of deep structures to neural and affective functioning. We argue that this approach can and should be brought to bear on the notoriously intractable issue of defining the pathophysiology of refractory psychiatric disorders and developing patient-specific optimized stimulation therapies. METHODS We have developed a suite of methods for maximally leveraging the stereo-electroencephalography approach for an innovative application to understand affective disorders, with high translatability across the broader range of refractory neuropsychiatric conditions. RESULTS This article provides a roadmap for determining desired electrode coverage, tracking high-resolution research recordings across a large number of electrodes, synchronizing intracranial signals with ongoing research tasks and other data streams, applying intracranial stimulation during recording, and design choices for patient comfort and safety. CONCLUSION These methods can be implemented across other neuropsychiatric conditions needing intensive electrophysiological characterization to define biomarkers and more effectively guide therapeutic decision-making in cases of severe and treatment-refractory disease.
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Affiliation(s)
- Anusha B. Allawala
- School of Engineering, Brown University, Providence, Rhode Island, USA
- Department of Neurosurgery, University of California San Francisco, San Francisco, California, USA
| | - Kelly R. Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Joshua Adkinson
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Denise Oswalt
- Department of Neurosurgery, University of Pennsylvania Philadelphia, Pennsylvania, USA
| | - Evangelia Tsolaki
- Department of Neurosurgery, University of California, Los Angeles, California, USA
| | - Sanjay Mathew
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Raissa K. Mathura
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Eleonora Bartoli
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Nicole Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Andrew J. Watrous
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Jiayang Xiao
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Victoria Pirtle
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Madaline M. Mocchi
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Sameer Rajesh
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Nabeel Diab
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Jeffrey F. Cohn
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - David A. Borton
- School of Engineering, Brown University, Providence, Rhode Island, USA
| | - Wayne K. Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Nader Pouratian
- Department of Neurosurgery, University of Texas Southwestern, Dallas, Texas, USA
| | - Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
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Remore LG, Tolossa M, Wei W, Karnib M, Tsolaki E, Rifi Z, Bari AA. Deep Brain Stimulation of the Medial Forebrain Bundle for Treatment-Resistant Depression: A Systematic Review Focused on the Long-Term Antidepressive Effect. Neuromodulation 2024; 27:690-700. [PMID: 37115122 DOI: 10.1016/j.neurom.2023.03.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 03/11/2023] [Accepted: 03/20/2023] [Indexed: 04/29/2023]
Abstract
OBJECTIVE Major depression affects millions of people worldwide and has important social and economic consequences. Since up to 30% of patients do not respond to several lines of antidepressive drugs, deep brain stimulation (DBS) has been evaluated for the management of treatment-resistant depression (TRD). The superolateral branch of the medial forebrain bundle (slMFB) appears as a "hypothesis-driven target" because of its role in the reward-seeking system, which is dysfunctional in depression. Although initial results of slMFB-DBS from open-label studies were promising and characterized by a rapid clinical response, long-term outcomes of neurostimulation for TRD deserve particular attention. Therefore, we performed a systematic review focused on the long-term outcome of slMFB-DBS. MATERIALS AND METHODS A literature search using Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria was conducted to identify all studies reporting changes in depression scores after one-year follow-up and beyond. Patient, disease, surgical, and outcome data were extracted for statistical analysis. The Montgomery-Åsberg Depression Rating Scale (ΔMADRS) was used as the clinical outcome, defined as percentage reduction from baseline to follow-up evaluation. Responders' and remitters' rates were also calculated. RESULTS From 56 studies screened for review, six studies comprising 34 patients met the inclusion criteria and were analyzed. After one year of active stimulation, ΔMADRS was 60.7% ± 4%; responders' and remitters' rates were 83.8% and 61.5%, respectively. At the last follow-up, four to five years after the implantation, ΔMADRS reached 74.7% ± 4.6%. The most common side effects were stimulation related and reversible with parameter adjustments. CONCLUSIONS slMFB-DBS appears to have a strong antidepressive effect that increases over the years. Nevertheless, to date, the overall number of patients receiving implantations is limited, and the slMFB-DBS surgical technique seems to have an important impact on the clinical outcome. Further multicentric studies in a larger population are needed to confirm slMFB-DBS clinical outcomes.
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Affiliation(s)
- Luigi Gianmaria Remore
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA; University of Milan "La Statale," Milan, Italy.
| | - Meskerem Tolossa
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Wexin Wei
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Evangelia Tsolaki
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA
| | - Ziad Rifi
- University of California Los Angeles, Los Angeles, CA, USA
| | - Ausaf Ahmad Bari
- Department of Neurosurgery, University of California Los Angeles, Los Angeles, CA, USA; David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
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Ramasubbu R, Brown EC, Mouches P, Moore JA, Clark DL, Molnar CP, Kiss ZHT, Forkert ND. Multimodal imaging measures in the prediction of clinical response to deep brain stimulation for refractory depression: A machine learning approach. World J Biol Psychiatry 2024; 25:175-187. [PMID: 38185882 DOI: 10.1080/15622975.2023.2300795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 12/27/2023] [Indexed: 01/09/2024]
Abstract
OBJECTIVES This study compared machine learning models using unimodal imaging measures and combined multi-modal imaging measures for deep brain stimulation (DBS) outcome prediction in treatment resistant depression (TRD). METHODS Regional brain glucose metabolism (CMRGlu), cerebral blood flow (CBF), and grey matter volume (GMV) were measured at baseline using 18F-fluorodeoxy glucose (18F-FDG) positron emission tomography (PET), arterial spin labelling (ASL) magnetic resonance imaging (MRI), and T1-weighted MRI, respectively, in 19 patients with TRD receiving subcallosal cingulate (SCC)-DBS. Responders (n = 9) were defined by a 50% reduction in HAMD-17 at 6 months from the baseline. Using an atlas-based approach, values of each measure were determined for pre-selected brain regions. OneR feature selection algorithm and the naïve Bayes model was used for classification. Leave-out-one cross validation was used for classifier evaluation. RESULTS The performance accuracy of the CMRGlu classification model (84%) was greater than CBF (74%) or GMV (74%) models. The classification model using the three image modalities together led to a similar accuracy (84%0 compared to the CMRGlu classification model. CONCLUSIONS CMRGlu imaging measures may be useful for the development of multivariate prediction models for SCC-DBS studies for TRD. The future of multivariate methods for multimodal imaging may rest on the selection of complementing features and the developing better models.Clinical Trial Registration: ClinicalTrials.gov (#NCT01983904).
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Affiliation(s)
- Rajamannar Ramasubbu
- Department of Psychiatry, Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Calgary, Alberta, Canada
- Hotchkiss Brain Institute Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Elliot C Brown
- School of Health and Care Management, Arden University, Berlin, Germany
| | - Pauline Mouches
- Department of Radiology, Clinical Neurosciences, Hotchkiss Brain Institute, Cumming school of medicine, University of Calgary, Calgary, Alberta, Canada
| | - Jasmine A Moore
- Department of Radiology, Clinical Neurosciences, Hotchkiss Brain Institute, Cumming school of medicine, University of Calgary, Calgary, Alberta, Canada
| | - Darren L Clark
- Department of Psychiatry, Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Calgary, Alberta, Canada
- Hotchkiss Brain Institute Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Christine P Molnar
- Department of Radiology, Cumming school of medicine, University of Calgary, Calgary, Alberta, Canada
| | - Zelma H T Kiss
- Department of Psychiatry, Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Calgary, Alberta, Canada
- Hotchkiss Brain Institute Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Nils D Forkert
- Department of Radiology, Clinical Neurosciences, Hotchkiss Brain Institute, Cumming school of medicine, University of Calgary, Calgary, Alberta, Canada
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Noecker AM, Mlakar J, Bijanki KR, Griswold MA, Pouratian N, Sheth SA, McIntyre CC. Stereo-EEG-guided network modulation for psychiatric disorders: Interactive holographic planning. Brain Stimul 2023; 16:1799-1805. [PMID: 38135359 PMCID: PMC10784872 DOI: 10.1016/j.brs.2023.11.003] [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: 11/06/2023] [Accepted: 11/07/2023] [Indexed: 12/24/2023] Open
Abstract
BACKGROUND Connectomic modeling studies are expanding understanding of the brain networks that are modulated by deep brain stimulation (DBS) therapies. However, explicit integration of these modeling results into prospective neurosurgical planning is only beginning to evolve. One challenge of employing connectomic models in patient-specific surgical planning is the inherent 3D nature of the results, which can make clinically useful data integration and visualization difficult. METHODS We developed a holographic stereotactic neurosurgery research tool (HoloSNS) that integrates patient-specific brain models into a group-based visualization environment for interactive surgical planning using connectomic hypotheses. HoloSNS currently runs on the HoloLens 2 platform and it enables remote networking between headsets. This allowed us to perform surgical planning group meetings with study co-investigators distributed across the country. RESULTS We used HoloSNS to plan stereo-EEG and DBS electrode placements for each patient participating in a clinical trial (NCT03437928) that is targeting both the subcallosal cingulate and ventral capsule for the treatment of depression. Each patient model consisted of multiple components of scientific data and anatomical reconstructions of the head and brain (both patient-specific and atlas-based), which far exceed the data integration capabilities of traditional neurosurgical planning workstations. This allowed us to prospectively discuss and evaluate the positioning of the electrodes based on novel connectomic hypotheses. CONCLUSIONS The 3D nature of the surgical procedure, brain imaging data, and connectomic modeling results all highlighted the utility of employing holographic visualization to support the design of unique clinical experiments to explore brain network modulation with DBS.
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Affiliation(s)
- Angela M Noecker
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Jeffrey Mlakar
- Interactive Commons, Case Western Reserve University, Cleveland, OH, USA
| | - Kelly R Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Mark A Griswold
- Interactive Commons, Case Western Reserve University, Cleveland, OH, USA; Department of Radiology, Case Western Reserve University, Cleveland, OH, USA
| | - Nader Pouratian
- Department of Neurosurgery, University of Texas Southwestern, Dallas, TX, USA
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Cameron C McIntyre
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA; Department of Neurosurgery, Duke University, Durham, NC, USA.
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Elias GJB, Germann J, Boutet A, Beyn ME, Giacobbe P, Song HN, Choi KS, Mayberg HS, Kennedy SH, Lozano AM. Local neuroanatomical and tract-based proxies of optimal subcallosal cingulate deep brain stimulation. Brain Stimul 2023; 16:1259-1272. [PMID: 37611657 DOI: 10.1016/j.brs.2023.08.014] [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: 04/16/2023] [Revised: 08/02/2023] [Accepted: 08/19/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND Deep brain stimulation of the subcallosal cingulate area (SCC-DBS) is a promising neuromodulatory therapy for treatment-resistant depression (TRD). Biomarkers of optimal target engagement are needed to guide surgical targeting and stimulation parameter selection and to reduce variance in clinical outcome. OBJECTIVE/HYPOTHESIS We aimed to characterize the relationship between stimulation location, white matter tract engagement, and clinical outcome in a large (n = 60) TRD cohort treated with SCC-DBS. A smaller cohort (n = 22) of SCC-DBS patients with differing primary indications (bipolar disorder/anorexia nervosa) was utilized as an out-of-sample validation cohort. METHODS Volumes of tissue activated (VTAs) were constructed in standard space using high-resolution structural MRI and individual stimulation parameters. VTA-based probabilistic stimulation maps (PSMs) were generated to elucidate voxelwise spatial patterns of efficacious stimulation. A whole-brain tractogram derived from Human Connectome Project diffusion-weighted MRI data was seeded with VTA pairs, and white matter streamlines whose overlap with VTAs related to outcome ('discriminative' streamlines; Puncorrected < 0.05) were identified using t-tests. Linear modelling was used to interrogate the potential clinical relevance of VTA overlap with specific structures. RESULTS PSMs varied by hemisphere: high-value left-sided voxels were located more anterosuperiorly and squarely in the lateral white matter, while the equivalent right-sided voxels fell more posteroinferiorly and involved a greater proportion of grey matter. Positive discriminative streamlines localized to the bilateral (but primarily left) cingulum bundle, forceps minor/rostrum of corpus callosum, and bilateral uncinate fasciculus. Conversely, negative discriminative streamlines mostly belonged to the right cingulum bundle and bilateral uncinate fasciculus. The best performing linear model, which utilized information about VTA volume overlap with each of the positive discriminative streamline bundles as well as the negative discriminative elements of the right cingulum bundle, explained significant variance in clinical improvement in the primary TRD cohort (R = 0.46, P < 0.001) and survived repeated 10-fold cross-validation (R = 0.50, P = 0.040). This model was also able to predict outcome in the out-of-sample validation cohort (R = 0.43, P = 0.047). CONCLUSION(S) These findings reinforce prior indications of the importance of white matter engagement to SCC-DBS treatment success while providing new insights that could inform surgical targeting and stimulation parameter selection decisions.
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Affiliation(s)
- Gavin J B Elias
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada; Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada
| | - Jürgen Germann
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada; Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada
| | - Alexandre Boutet
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada; Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada; Joint Department of Medical Imaging, University of Toronto, Toronto, M5T 1W7, Canada
| | - Michelle E Beyn
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada
| | - Peter Giacobbe
- Department of Psychiatry, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, M4N 3M5, Canada
| | - Ha Neul Song
- Nash Family Center for Advanced Circuit Therapeutics, Mount Sinai West, Icahn School of Medicine at Mount Sinai, New York, NY, 10019, USA
| | - Ki Sueng Choi
- Nash Family Center for Advanced Circuit Therapeutics, Mount Sinai West, Icahn School of Medicine at Mount Sinai, New York, NY, 10019, USA; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Helen S Mayberg
- Nash Family Center for Advanced Circuit Therapeutics, Mount Sinai West, Icahn School of Medicine at Mount Sinai, New York, NY, 10019, USA; Departments of Neurology and Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Sidney H Kennedy
- Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada; ASR Suicide and Depression Studies Unit, St. Michael's Hospital, University of Toronto, M5B 1M8, Canada; Department of Psychiatry, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada
| | - Andres M Lozano
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada; Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada.
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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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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 PMCID: PMC11189296 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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8
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Widge AS. Closed-Loop Deep Brain Stimulation for Psychiatric Disorders. Harv Rev Psychiatry 2023; 31:162-171. [PMID: 37171475 PMCID: PMC10188203 DOI: 10.1097/hrp.0000000000000367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
ABSTRACT Deep brain stimulation (DBS) is a well-established approach to treating medication-refractory neurological disorders and holds promise for treating psychiatric disorders. Despite strong open-label results in extremely refractory patients, DBS has struggled to meet endpoints in randomized controlled trials. A major challenge is stimulation "dosing"-DBS systems have many adjustable parameters, and clinicians receive little feedback on whether they have chosen the correct parameters for an individual patient. Multiple groups have proposed closed loop technologies as a solution. These systems sense electrical activity, identify markers of an (un)desired state, then automatically deliver or adjust stimulation to alter that electrical state. Closed loop DBS has been successfully deployed in movement disorders and epilepsy. The availability of that technology, as well as advances in opportunities for invasive research with neurosurgical patients, has yielded multiple pilot demonstrations in psychiatric illness. Those demonstrations split into two schools of thought, one rooted in well-established diagnoses and symptom scales, the other in the more experimental Research Domain Criteria (RDoC) framework. Both are promising, and both are limited by the boundaries of current stimulation technology. They are in turn driving advances in implantable recording hardware, signal processing, and stimulation paradigms. The combination of these advances is likely to change both our understanding of psychiatric neurobiology and our treatment toolbox, though the timeframe may be limited by the realities of implantable device development.
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Affiliation(s)
- Alik S Widge
- From the Department of Psychiatry & Behavioral Sciences and Medical Discovery Team on Addictions, University of Minnesota
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9
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Drew L. Wiring up the brain to beat depression. Nature 2022; 608:S46-S47. [DOI: 10.1038/d41586-022-02209-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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10
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Sheth SA, Bijanki KR, Metzger B, Allawala A, Pirtle V, Adkinson JA, Myers J, Mathura RK, Oswalt D, Tsolaki E, Xiao J, Noecker A, Strutt AM, Cohn JF, McIntyre CC, Mathew SJ, Borton D, Goodman W, Pouratian N. Deep Brain Stimulation for Depression Informed by Intracranial Recordings. Biol Psychiatry 2022; 92:246-251. [PMID: 35063186 PMCID: PMC9124238 DOI: 10.1016/j.biopsych.2021.11.007] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/01/2021] [Accepted: 11/02/2021] [Indexed: 11/02/2022]
Abstract
The success of deep brain stimulation (DBS) for treating Parkinson's disease has led to its application to several other disorders, including treatment-resistant depression. Results with DBS for treatment-resistant depression have been heterogeneous, with inconsistencies largely driven by incomplete understanding of the brain networks regulating mood, especially on an individual basis. We report results from the first subject treated with DBS for treatment-resistant depression using an approach that incorporates intracranial recordings to personalize understanding of network behavior and its response to stimulation. These recordings enabled calculation of individually optimized DBS stimulation parameters using a novel inverse solution approach. In the ensuing double-blind, randomized phase incorporating these bespoke parameter sets, DBS led to remission of symptoms and dramatic improvement in quality of life. Results from this initial case demonstrate the feasibility of this personalized platform, which may be used to improve surgical neuromodulation for a vast array of neurologic and psychiatric disorders.
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Affiliation(s)
- Sameer A. Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA,Corresponding Author: Sameer A. Sheth, MD, PhD, 7200 Cambridge Street, Suite 9B, Houston, TX 77030, 310-922-2596,
| | - Kelly R. Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA
| | - Brian Metzger
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA
| | - Anusha Allawala
- Department of Engineering, Brown University, Providence, RI, 02912 USA
| | - Victoria Pirtle
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA
| | - Josh A. Adkinson
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA
| | - John Myers
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA
| | - Raissa K. Mathura
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA
| | - Denise Oswalt
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA
| | - Evangelia Tsolaki
- Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, 90095 USA
| | - Jiayang Xiao
- Department of Neurosurgery, Baylor College of Medicine, Houston TX, 77030 USA
| | - Angela Noecker
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106 USA
| | - Adriana M. Strutt
- Department of Neurology, Baylor College of Medicine, Houston TX, 77030 USA
| | - Jeffrey F. Cohn
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, 19104 USA
| | - Cameron C. McIntyre
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106 USA
| | - Sanjay J. Mathew
- Department of Psychiatry, Baylor College of Medicine, Houston TX, 77030 USA
| | - David Borton
- Department of Engineering, Brown University, Providence, RI, 02912 USA
| | - Wayne Goodman
- Department of Psychiatry, Baylor College of Medicine, Houston TX, 77030 USA
| | - Nader Pouratian
- Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, 90095 USA
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11
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Mustroph ML, Cosgrove GR, Williams ZM. The Evolution of Modern Ablative Surgery for the Treatment of Obsessive-Compulsive and Major Depression Disorders. Front Integr Neurosci 2022; 16:797533. [PMID: 35464603 PMCID: PMC9026193 DOI: 10.3389/fnint.2022.797533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 02/07/2022] [Indexed: 11/30/2022] Open
Abstract
In this review, we describe the evolution of modern ablative surgery for intractable psychiatric disease, from the original image-guided cingulotomy procedure described by Ballantine, to the current bilateral anterior cingulotomy using MRI-guided stereotactic techniques. Extension of the single lesion bilateral cingulotomy to the extended bilateral cingulotomy and subsequent staged limbic leucotomy (LL) is also discussed. Other ablative surgeries for psychiatric disease including subcaudate tractotomy (SCT) and anterior capsulotomy (AC) using modern MRI-guided ablative techniques, as well as radiosurgical capsulotomy, are described. Finally, the potential emerging role of MR-guided focused ultrasound (MRgFUS) for treating conditions such as major depressive disorder (MDD) and obsessive-compulsive disorder (OCD) is discussed.
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Affiliation(s)
- Martina Laetitia Mustroph
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - G. Rees Cosgrove
- Department of Neurosurgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Ziv M. Williams
- Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Harvard-MIT Division of Health Sciences and Technology, Boston, MA, United States
- Program in Neuroscience, Harvard Medical School, Boston, MA, United States
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12
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Rabin JS, Nyman AJ, Davidson B, Zakzanis KK, Giacobbe P, Hamani C, Nestor S, Lipsman N. Commonly used outcome measures in neurosurgical trials for major depressive disorder might not capture clinically meaningful treatment effects. J Neurol Neurosurg Psychiatry 2022; 93:455-456. [PMID: 35078915 PMCID: PMC8921571 DOI: 10.1136/jnnp-2021-327688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Accepted: 12/16/2021] [Indexed: 11/23/2022]
Affiliation(s)
- Jennifer S Rabin
- Harquail Centre for Neuromodulation, Sunnybrook Research Institute, Toronto, Ontario, Canada .,Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada.,Rehabilitation Sciences Institute, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Alexander J Nyman
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Benjamin Davidson
- Harquail Centre for Neuromodulation, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Division of Neurosurgery, Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Konstantine K Zakzanis
- Department of Psychology, University of Toronto Scarborough, Toronto, Ontario, Canada.,Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto, Ontario, Canada
| | - Peter Giacobbe
- Harquail Centre for Neuromodulation, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Clement Hamani
- Harquail Centre for Neuromodulation, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Division of Neurosurgery, Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Sean Nestor
- Harquail Centre for Neuromodulation, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Nir Lipsman
- Harquail Centre for Neuromodulation, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Division of Neurosurgery, Department of Surgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
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13
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Widge AS, Zhang F, Gosai A, Papadimitrou G, Wilson-Braun P, Tsintou M, Palanivelu S, Noecker AM, McIntyre CC, O’Donnell L, McLaughlin NCR, Greenberg BD, Makris N, Dougherty DD, Rathi Y. Patient-specific connectomic models correlate with, but do not reliably predict, outcomes in deep brain stimulation for obsessive-compulsive disorder. Neuropsychopharmacology 2022; 47:965-972. [PMID: 34621015 PMCID: PMC8882183 DOI: 10.1038/s41386-021-01199-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 08/11/2021] [Accepted: 09/23/2021] [Indexed: 12/15/2022]
Abstract
Deep brain stimulation (DBS) of the ventral internal capsule/ventral striatum (VCVS) is an emerging treatment for obsessive-compulsive disorder (OCD). Recently, multiple studies using normative connectomes have correlated DBS outcomes to stimulation of specific white matter tracts. Those studies did not test whether these correlations are clinically predictive, and did not apply cross-validation approaches that are necessary for biomarker development. Further, they did not account for the possibility of systematic differences between DBS patients and the non-diagnosed controls used in normative connectomes. To address these gaps, we performed patient-specific diffusion imaging in 8 patients who underwent VCVS DBS for OCD. We delineated tracts connecting thalamus and subthalamic nucleus (STN) to prefrontal cortex via VCVS. We then calculated which tracts were likely activated by individual patients' DBS settings. We fit multiple statistical models to predict both OCD and depression outcomes from tract activation. We further attempted to predict hypomania, a VCVS DBS complication. We assessed all models' performance on held-out test sets. With this best-practices approach, no model predicted OCD response, depression response, or hypomania above chance. Coefficient inspection partly supported prior reports, in that capture of tracts projecting to cingulate cortex was associated with both YBOCS and MADRS response. In contrast to prior reports, however, tracts connected to STN were not reliably correlated with response. Thus, patient-specific imaging and a guideline-adherent analysis were unable to identify a tractographic target with sufficient effect size to drive clinical decision-making or predict individual outcomes. These findings suggest caution in interpreting the results of normative connectome studies.
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Affiliation(s)
- Alik S. Widge
- grid.17635.360000000419368657Department of Psychiatry, University of Minnesota, Minneapolis, MN USA
| | - Fan Zhang
- grid.62560.370000 0004 0378 8294Department of Radiology, Brigham and Womens Hospital, Boston, MA USA
| | - Aishwarya Gosai
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - George Papadimitrou
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Peter Wilson-Braun
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Magdalini Tsintou
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Senthil Palanivelu
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Angela M. Noecker
- grid.67105.350000 0001 2164 3847Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH USA
| | - Cameron C. McIntyre
- grid.67105.350000 0001 2164 3847Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH USA
| | - Lauren O’Donnell
- grid.62560.370000 0004 0378 8294Department of Radiology, Brigham and Womens Hospital, Boston, MA USA
| | - Nicole C. R. McLaughlin
- grid.40263.330000 0004 1936 9094Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI USA ,grid.273271.20000 0000 8593 9332Butler Hospital, Providence, RI USA
| | - Benjamin D. Greenberg
- grid.40263.330000 0004 1936 9094Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI USA ,grid.273271.20000 0000 8593 9332Butler Hospital, Providence, RI USA ,Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, RI USA
| | - Nikolaos Makris
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Darin D. Dougherty
- grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
| | - Yogesh Rathi
- grid.62560.370000 0004 0378 8294Department of Radiology, Brigham and Womens Hospital, Boston, MA USA ,grid.32224.350000 0004 0386 9924Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA
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14
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Shlobin NA, Rosenow JM. Ethical Considerations in the Implantation of Neuromodulatory Devices. Neuromodulation 2022; 25:222-231. [PMID: 35125141 DOI: 10.1111/ner.13357] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/26/2020] [Accepted: 12/21/2020] [Indexed: 01/14/2023]
Abstract
OBJECTIVES Neuromodulatory devices are increasingly used by neurosurgeons to manage a variety of chronic conditions. Given their potential benefits, it is imperative to create clear ethical guidelines for the use of these devices. We present a tiered ethical framework for neurosurgeon recommendations for the use of neuromodulatory devices. MATERIALS AND METHODS We conducted a literature review to identify factors neurosurgeons should consider when choosing to offer a neuromodulatory device to a patient. RESULTS Neurosurgeons must weigh reductions in debilitating symptoms, improved functionality, and preserved quality of life against risks for intraoperative complications and adverse events due to stimulation or the device itself. Neurosurgeons must also evaluate whether patients and families will maintain responsibility for the management of neuromodulatory devices. Consideration of these factors should occur on an axis of resource allocation, ranging from provision of neuromodulatory devices to those with greatest potential benefit in resource-limited settings to provision of neuromodulatory devices to all patients with indications in contexts without resource limitations. Neurosurgeons must also take action to promote device effectiveness throughout the duration of care. CONCLUSIONS Weighing risks and benefits of providing neuromodulatory devices and assessing ability to remain responsible for the devices on the level of the individual patient indicate which patients are most likely to achieve benefit from these devices. Consideration of these factors on an axis of resource allocation will allow for optimal provision of neuromodulatory devices to patients in settings of varied resources. Neurosurgeons play a primary role in promoting the effectiveness of these devices.
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Affiliation(s)
- Nathan A Shlobin
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
| | - Joshua M Rosenow
- Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
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15
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Abstract
Memory recollections and voluntary actions are often perceived as spontaneously generated irrespective of external stimuli. Although products of our neurons, they are only rarely accessible in humans at the neuronal level. Here I review insights gleaned from unique neurosurgical opportunities to record and stimulate single-neuron activity in people who can declare their thoughts, memories and wishes. I discuss evidence that the subjective experience of human recollection and that of voluntary action arise from the activity of two internal neuronal generators, the former from medial temporal lobe reactivation and the latter from frontoparietal preactivation. I characterize properties of these generators and their interaction, enabling flexible recruitment of memory-based choices for action as well as recruitment of action-based plans for the representation of conceptual knowledge in memories. Both internal generators operate on surprisingly explicit but different neuronal codes, which appear to arise with distinct single-neuron activity, often observed before participants' reports of conscious awareness. I discuss prediction of behaviour based on these codes, and the potential for their modulation. The prospects of editing human memories and volitions by enhancement, inception or deletion of specific, selected content raise therapeutic possibilities and ethical concerns.
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16
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Elias GJB, Germann J, Boutet A, Loh A, Li B, Pancholi A, Beyn ME, Naheed A, Bennett N, Pinto J, Bhat V, Giacobbe P, Woodside DB, Kennedy SH, Lozano AM. 3 T MRI of rapid brain activity changes driven by subcallosal cingulate deep brain stimulation. Brain 2021; 145:2214-2226. [PMID: 34919630 DOI: 10.1093/brain/awab447] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/08/2021] [Accepted: 11/18/2021] [Indexed: 11/14/2022] Open
Abstract
Deep brain stimulation targeting the subcallosal cingulate area (SCC-DBS), a hub with multiple axonal projections, has shown therapeutic potential for treatment-resistant mood disorders. While SCC-DBS drives long-term metabolic changes in corticolimbic circuits, the brain areas that are directly modulated by electrical stimulation of this region are not known. We used 3.0 Tesla functional MRI to map the topography of acute brain changes produced by stimulation in an initial cohort of twelve patients with fully implanted SCC-DBS devices. Four additional SCC-DBS patients were also scanned and employed as a validation cohort. Participants underwent resting state scans (n=78 acquisitions overall) during i) inactive DBS; ii) clinically optimal active DBS; iii) suboptimal active DBS. All scans were acquired within a single MRI session, each separated by a 5-minute washout period. Analysis of the amplitude of low frequency fluctuations (ALFF) in each sequence indicated that clinically optimal SCC-DBS reduced spontaneous brain activity in several areas, including bilateral dorsal anterior cingulate cortex (dACC), posterior cingulate cortex (PCC), precuneus, and left inferior parietal lobule (pBonferroni<0.0001). Stimulation-induced dACC signal reduction correlated with immediate within-session mood fluctuations, was greater at optimal versus suboptimal settings, and related to local cingulum bundle engagement. Moreover, linear modelling showed that immediate changes in dACC, PCC, and precuneus activity could predict individual long-term antidepressant improvement. A model derived from the primary cohort that incorporated ALFF changes in these three areas (along with pre-operative symptom severity) explained 55% of the variance in clinical improvement in that cohort. The same model also explained 93% of the variance in the out-of-sample validation cohort. Additionally all three brain areas exhibited significant changes in functional connectivity between active and inactive DBS states (pBonferroni<0.01). These results provide insight into the network-level mechanisms of SCC-DBS and point towards potential acute biomarkers of clinical response that could help to optimize and personalize this therapy.
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Affiliation(s)
- Gavin J B Elias
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Canada.,Krembil Research Institute, University of Toronto, Toronto, Canada
| | - Jürgen Germann
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Canada.,Krembil Research Institute, University of Toronto, Toronto, Canada
| | - Alexandre Boutet
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Canada.,Krembil Research Institute, University of Toronto, Toronto, Canada.,Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Aaron Loh
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Canada.,Krembil Research Institute, University of Toronto, Toronto, Canada
| | - Bryan Li
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Aditya Pancholi
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Canada
| | - Michelle E Beyn
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Canada
| | - Asma Naheed
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Nicole Bennett
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Jessica Pinto
- Joint Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Venkat Bhat
- Department of Psychiatry, University Health Network and University of Toronto, Toronto, Canada
| | - Peter Giacobbe
- Department of Psychiatry, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada
| | - D Blake Woodside
- Department of Psychiatry, University Health Network and University of Toronto, Toronto, Canada
| | - Sidney H Kennedy
- Krembil Research Institute, University of Toronto, Toronto, Canada.,Department of Psychiatry, University Health Network and University of Toronto, Toronto, Canada
| | - Andres M Lozano
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, Canada.,Krembil Research Institute, University of Toronto, Toronto, Canada
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17
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Germann J, Mameli M, Elias GJB, Loh A, Taha A, Gouveia FV, Boutet A, Lozano AM. Deep Brain Stimulation of the Habenula: Systematic Review of the Literature and Clinical Trial Registries. Front Psychiatry 2021; 12:730931. [PMID: 34484011 PMCID: PMC8415908 DOI: 10.3389/fpsyt.2021.730931] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 07/21/2021] [Indexed: 11/13/2022] Open
Abstract
The habenula is a small bilateral epithalamic structure that plays a key role in the regulation of the main monoaminergic systems. It is implicated in many aspects of behavior such as reward processing, motivational behavior, behavioral adaptation, and sensory integration. A role of the habenula has been indicated in the pathophysiology of a number of neuropsychiatric disorders such as depression, addiction, obsessive-compulsive disorder, and bipolar disorder. Neuromodulation of the habenula using deep brain stimulation (DBS) as potential treatment has been proposed and a first successful case of habenula DBS was reported a decade ago. To provide an overview of the current state of habenula DBS in human subjects for the treatment of neuropsychiatric disorders we conducted a systematic review of both the published literature using PUBMED and current and past registered clinical trials using ClinicalTrials.gov as well as the International Clinical Trials Registry Platform. Using PRISMA guidelines five articles and five registered clinical trials were identified. The published articles detailed the results of habenula DBS for the treatment of schizophrenia, depression, obsessive-compulsive disorder, and bipolar disorder. Four are single case studies; one reports findings in two patients and positive clinical outcome is described in five of the six patients. Of the five registered clinical trials identified, four investigate habenula DBS for the treatment of depression and one for obsessive-compulsive disorder. One trial is listed as terminated, one is recruiting, two are not yet recruiting and the status of the fifth is unknown. The planned enrollment varies between 2 to 13 subjects and four of the five are open label trials. While the published studies suggest a potential role of habenula DBS for a number of indications, future trials and studies are necessary. The outcomes of the ongoing clinical trials will provide further valuable insights. Establishing habenula DBS, however, will depend on successful randomized clinical trials to confirm application and clinical benefit of this promising intervention.
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Affiliation(s)
- Jürgen Germann
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Manuel Mameli
- The Department of Fundamental Neuroscience, The University of Lausanne, Lausanne, Switzerland
- INSERM, UMR-S 839, Paris, France
| | - Gavin J. B. Elias
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Aaron Loh
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Alaa Taha
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
| | - Flavia Venetucci Gouveia
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Alexandre Boutet
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
- Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada
| | - Andres M. Lozano
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, ON, Canada
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18
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Elias GJB, Germann J, Boutet A, Pancholi A, Beyn ME, Bhatia K, Neudorfer C, Loh A, Rizvi SJ, Bhat V, Giacobbe P, Woodside DB, Kennedy SH, Lozano AM. Structuro-functional surrogates of response to subcallosal cingulate deep brain stimulation for depression. Brain 2021; 145:362-377. [PMID: 34324658 DOI: 10.1093/brain/awab284] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 06/01/2021] [Accepted: 07/07/2021] [Indexed: 11/14/2022] Open
Abstract
Subcallosal cingulate deep brain stimulation (SCC-DBS) produces long-term clinical improvement in approximately half of patients with severe treatment-resistant depression (TRD). We hypothesized that both structural and functional brain attributes may be important in determining responsiveness to this therapy. In a TRD SCC-DBS cohort, we retrospectively examined baseline and longitudinal differences in MRI-derived brain volume (n = 65) and 18F-fluorodeoxyglucose-PET glucose metabolism (n = 21) between responders and non-responders. Support-vector machines (SVMs) were subsequently trained to classify patients' response status based on extracted baseline imaging features. A machine learning model incorporating pre-operative frontopolar, precentral/frontal opercular, and orbitofrontal local volume values classified binary response status (12 months) with 83% accuracy (leave-one-out cross-validation (LOOCV): 80% accuracy) and explained 32% of the variance in continuous clinical improvement. It was also predictive in an out-of-sample SCC-DBS cohort (n = 21) with differing primary indications (bipolar disorder/anorexia nervosa) (76% accuracy). Adding pre-operative glucose metabolism information from rostral anterior cingulate cortex and temporal pole improved model performance, enabling it to predict response status in the TRD cohort with 86% accuracy (LOOCV: 81% accuracy) and explain 67% of clinical variance. Response-related patterns of metabolic and structural post-DBS change were also observed, especially in anterior cingulate cortex and neighbouring white matter. Areas where responders differed from non-responders - both at baseline and longitudinally - largely overlapped with depression-implicated white matter tracts, namely uncinate fasciculus, cingulum bundle, and forceps minor/rostrum of corpus callosum. The extent of patient-specific engagement of these same tracts (according to electrode location and stimulation parameters) also served as a predictor of TRD response status (72% accuracy; LOOCV: 70% accuracy) and augmented performance of the volume-based (88% accuracy; LOOCV: 82% accuracy) and combined volume/metabolism-based SVMs (100% accuracy; LOOCV: 94% accuracy). Taken together, these results indicate that responders and non-responders to SCC-DBS exhibit differences in brain volume and metabolism, both pre- and post-surgery. Baseline imaging features moreover predict response to treatment (particularly when combined with information about local tract engagement) and could inform future patient selection and other clinical decisions.
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Affiliation(s)
- Gavin J B Elias
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada.,Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada
| | - Jürgen Germann
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada.,Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada
| | - Alexandre Boutet
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada.,Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada.,Joint Department of Medical Imaging, University of Toronto, Toronto, M5T 1W7, Canada
| | - Aditya Pancholi
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada
| | - Michelle E Beyn
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada
| | - Kartik Bhatia
- Joint Department of Medical Imaging, University of Toronto, Toronto, M5T 1W7, Canada
| | - Clemens Neudorfer
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada
| | - Aaron Loh
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada.,Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada
| | - Sakina J Rizvi
- ASR Suicide and Depression Studies Unit, St. Michael's Hospital, University of Toronto, M5B 1M8, Canada.,Department of Psychiatry, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada
| | - Venkat Bhat
- ASR Suicide and Depression Studies Unit, St. Michael's Hospital, University of Toronto, M5B 1M8, Canada.,Department of Psychiatry, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada
| | - Peter Giacobbe
- Department of Psychiatry, Sunnybrook Health Sciences Centre and University of Toronto, Toronto, M4N 3M5, Canada
| | - D Blake Woodside
- ASR Suicide and Depression Studies Unit, St. Michael's Hospital, University of Toronto, M5B 1M8, Canada
| | - Sidney H Kennedy
- Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada.,ASR Suicide and Depression Studies Unit, St. Michael's Hospital, University of Toronto, M5B 1M8, Canada.,Department of Psychiatry, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada
| | - Andres M Lozano
- Division of Neurosurgery, Department of Surgery, University Health Network and University of Toronto, Toronto, M5T 2S8, Canada.,Krembil Research Institute, University of Toronto, Toronto, M5T 0S8, Canada
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19
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Larkin MB, McGinnis JP, Snyder RI, Storch EA, Goodman WK, Viswanathan A, Sheth SA. Neurostimulation for treatment-resistant posttraumatic stress disorder: an update on neurocircuitry and therapeutic targets. J Neurosurg 2021; 134:1715-1723. [PMID: 32736358 DOI: 10.3171/2020.4.jns2061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 04/06/2020] [Indexed: 11/06/2022]
Abstract
Posttraumatic stress disorder (PTSD) is a widespread and often devastating psychiatric condition. Core symptoms include intrusive and distressing thoughts, heightened reactivity, mood changes, cognitive impairments, and consequent avoidance of trauma-related stimuli. Symptoms of PTSD are often refractory to standard treatments, and neuromodulatory techniques have therefore drawn significant interest among the most treatment-resistant patients. Transcranial magnetic stimulation has demonstrated minimal efficacy, and deep brain stimulation trials are currently ongoing. PTSD is a disorder of neural circuitry; the current understanding includes involvement of the amygdala (basolateral and central nuclei), the prefrontal cortex (ventral medial and dorsolateral regions), and the hippocampus. Neuroimaging and optogenetic studies have improved the understanding of large-scale neural networks and the effects of microcircuitry manipulation, respectively. This review discusses the current PTSD literature and ongoing neurostimulation trials, and it highlights the current understanding of neuronal circuit dysfunction in PTSD. The authors emphasize the anatomical correlations of PTSD's hallmark symptoms, offer another potential deep brain stimulation target for PTSD, and note the need for continued research to identify useful biomarkers for the development of closed-loop therapies. Although there is hope that neuromodulation will become a viable treatment modality for PTSD, this concept remains theoretical, and further research should involve institutional review board-approved controlled prospective clinical studies.
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Affiliation(s)
| | | | | | - Eric A Storch
- 2Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
| | - Wayne K Goodman
- 2Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas
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20
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Allawala A, Bijanki KR, Goodman W, Cohn JF, Viswanathan A, Yoshor D, Borton DA, Pouratian N, Sheth SA. A Novel Framework for Network-Targeted Neuropsychiatric Deep Brain Stimulation. Neurosurgery 2021; 89:E116-E121. [PMID: 33913499 PMCID: PMC8279838 DOI: 10.1093/neuros/nyab112] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 02/14/2021] [Indexed: 12/28/2022] Open
Abstract
Deep brain stimulation (DBS) has emerged as a promising therapy for neuropsychiatric illnesses, including depression and obsessive-compulsive disorder, but has shown inconsistent results in prior clinical trials. We propose a shift away from the empirical paradigm for developing new DBS applications, traditionally based on testing brain targets with conventional stimulation paradigms. Instead, we propose a multimodal approach centered on an individualized intracranial investigation adapted from the epilepsy monitoring experience, which integrates comprehensive behavioral assessment, such as the Research Domain Criteria proposed by the National Institutes of Mental Health. In this paradigm-shifting approach, we combine readouts obtained from neurophysiology, behavioral assessments, and self-report during broad exploration of stimulation parameters and behavioral tasks to inform the selection of ideal DBS parameters. Such an approach not only provides a foundational understanding of dysfunctional circuits underlying symptom domains in neuropsychiatric conditions but also aims to identify generalizable principles that can ultimately enable individualization and optimization of therapy without intracranial monitoring.
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Affiliation(s)
- Anusha Allawala
- School of Engineering, Brown University, Providence, Rhode Island, USA
| | - Kelly R Bijanki
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Wayne Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Jeffrey F Cohn
- Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Ashwin Viswanathan
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
| | - Daniel Yoshor
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA.,Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David A Borton
- School of Engineering, Brown University, Providence, Rhode Island, USA.,Carney Institute for Brain Science, Brown University, Providence, Rhode Island, USA.,Department of Veterans Affairs, Providence VA Medical Center for Neurorestoration and Neurotechnology, Providence, Rhode Island, USA
| | - Nader Pouratian
- Department of Neurological Surgery, UT Southwestern Medical Center, Dallas, Texas, USA
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA
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21
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Trambaiolli LR, Kohl SH, Linden DEJ, Mehler DMA. Neurofeedback training in major depressive disorder: A systematic review of clinical efficacy, study quality and reporting practices. Neurosci Biobehav Rev 2021; 125:33-56. [PMID: 33587957 DOI: 10.1016/j.neubiorev.2021.02.015] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/05/2021] [Accepted: 02/06/2021] [Indexed: 12/28/2022]
Abstract
Major depressive disorder (MDD) is the leading cause of disability worldwide. Neurofeedback training has been suggested as a potential additional treatment option for MDD patients not reaching remission from standard care (i.e., psychopharmacology and psychotherapy). Here we systematically reviewed neurofeedback studies employing electroencephalography, or functional magnetic resonance-based protocols in depressive patients. Of 585 initially screened studies, 24 were included in our final sample (N = 480 patients in experimental and N = 194 in the control groups completing the primary endpoint). We evaluated the clinical efficacy across studies and attempted to group studies according to the control condition categories currently used in the field that affect clinical outcomes in group comparisons. In most studies, MDD patients showed symptom improvement superior to the control group(s). However, most articles did not comply with the most stringent study quality and reporting practices. We conclude with recommendations on best practices for experimental designs and reporting standards for neurofeedback training.
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Affiliation(s)
- Lucas R Trambaiolli
- Division of Basic Neuroscience, McLean Hospital, Harvard Medical School, Boston, USA.
| | - Simon H Kohl
- JARA Institute Molecular Neuroscience and Neuroimaging (INM-11), Jülich Research Centre, Germany; Department of Child and Adolescent Psychiatry, Medical Faculty, RWTH Aachen University, Germany
| | - David E J Linden
- School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands
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22
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Sui Y, Tian Y, Ko WKD, Wang Z, Jia F, Horn A, De Ridder D, Choi KS, Bari AA, Wang S, Hamani C, Baker KB, Machado AG, Aziz TZ, Fonoff ET, Kühn AA, Bergman H, Sanger T, Liu H, Haber SN, Li L. Deep Brain Stimulation Initiative: Toward Innovative Technology, New Disease Indications, and Approaches to Current and Future Clinical Challenges in Neuromodulation Therapy. Front Neurol 2021; 11:597451. [PMID: 33584498 PMCID: PMC7876228 DOI: 10.3389/fneur.2020.597451] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/23/2020] [Indexed: 01/17/2023] Open
Abstract
Deep brain stimulation (DBS) is one of the most important clinical therapies for neurological disorders. DBS also has great potential to become a great tool for clinical neuroscience research. Recently, the National Engineering Laboratory for Neuromodulation at Tsinghua University held an international Deep Brain Stimulation Initiative workshop to discuss the cutting-edge technological achievements and clinical applications of DBS. We specifically addressed new clinical approaches and challenges in DBS for movement disorders (Parkinson's disease and dystonia), clinical application toward neurorehabilitation for stroke, and the progress and challenges toward DBS for neuropsychiatric disorders. This review highlighted key developments in (1) neuroimaging, with advancements in 3-Tesla magnetic resonance imaging DBS compatibility for exploration of brain network mechanisms; (2) novel DBS recording capabilities for uncovering disease pathophysiology; and (3) overcoming global healthcare burdens with online-based DBS programming technology for connecting patient communities. The successful event marks a milestone for global collaborative opportunities in clinical development of neuromodulation to treat major neurological disorders.
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Affiliation(s)
- Yanan Sui
- National Engineering Laboratory for Neuromodulation, Tsinghua University, Beijing, China
| | - Ye Tian
- National Engineering Laboratory for Neuromodulation, Tsinghua University, Beijing, China
| | - Wai Kin Daniel Ko
- National Engineering Laboratory for Neuromodulation, Tsinghua University, Beijing, China
| | - Zhiyan Wang
- National Engineering Laboratory for Neuromodulation, Tsinghua University, Beijing, China
| | - Fumin Jia
- National Engineering Laboratory for Neuromodulation, Tsinghua University, Beijing, China
| | - Andreas Horn
- Charité, Department of Neurology, Movement Disorders and Neuromodulation Unit, University Medicine Berlin, Berlin, Germany
| | - Dirk De Ridder
- Section of Neurosurgery, Department of Surgical Sciences, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Ki Sueng Choi
- Department of Psychiatry and Behavioural Science, Emory University, Atlanta, GA, United States.,Department of Radiology, Mount Sinai School of Medicine, New York, NY, United States.,Department of Neurosurgery, Mount Sinai School of Medicine, New York, NY, United States
| | - Ausaf A Bari
- Department of Neurosurgery, University of California, Los Angeles, Los Angeles, CA, United States
| | - Shouyan Wang
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Clement Hamani
- Harquail Centre for Neuromodulation, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Kenneth B Baker
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.,Neurological Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Andre G Machado
- Department of Neurosciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States.,Neurological Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Tipu Z Aziz
- Department of Neurosurgery, John Radcliffe Hospital, Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom
| | - Erich Talamoni Fonoff
- Department of Neurology, University of São Paulo Medical School, São Paulo, Brazil.,Hospital Sírio-Libanês and Hospital Albert Einstein, São Paulo, Brazil
| | - Andrea A Kühn
- Charité, Department of Neurology, Movement Disorders and Neuromodulation Unit, University Medicine Berlin, Berlin, Germany
| | - Hagai Bergman
- Department of Medical Neurobiology (Physiology), Institute of Medical Research-Israel-Canada (IMRIC), Faculty of Medicine, Jerusalem, Israel.,The Edmond and Lily Safra Center for Brain Research (ELSC), The Hebrew University and Department of Neurosurgery, Hadassah Medical Center, Hebrew University, Jerusalem, Israel
| | - Terence Sanger
- University of Southern California, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Hesheng Liu
- Department of Neuroscience, College of Medicine, Medical University of South Carolina, Charleston, SC, United States
| | - Suzanne N Haber
- Department of Pharmacology and Physiology, University of Rochester School of Medicine & Dentistry, Rochester, NY, United States.,McLean Hospital and Harvard Medical School, Belmont, MA, United States
| | - Luming Li
- National Engineering Laboratory for Neuromodulation, Tsinghua University, Beijing, China
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23
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Chandler JA, Cabrera LY, Doshi P, Fecteau S, Fins JJ, Guinjoan S, Hamani C, Herrera-Ferrá K, Honey CM, Illes J, Kopell BH, Lipsman N, McDonald PJ, Mayberg HS, Nadler R, Nuttin B, Oliveira-Maia AJ, Rangel C, Ribeiro R, Salles A, Wu H. International Legal Approaches to Neurosurgery for Psychiatric Disorders. Front Hum Neurosci 2021; 14:588458. [PMID: 33519399 PMCID: PMC7838635 DOI: 10.3389/fnhum.2020.588458] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 11/30/2020] [Indexed: 11/17/2022] Open
Abstract
Neurosurgery for psychiatric disorders (NPD), also sometimes referred to as psychosurgery, is rapidly evolving, with new techniques and indications being investigated actively. Many within the field have suggested that some form of guidelines or regulations are needed to help ensure that a promising field develops safely. Multiple countries have enacted specific laws regulating NPD. This article reviews NPD-specific laws drawn from North and South America, Asia and Europe, in order to identify the typical form and contents of these laws and to set the groundwork for the design of an optimal regulation for the field. Key challenges for this design that are revealed by the review are how to define the scope of the law (what should be regulated), what types of regulations are required (eligibility criteria, approval procedures, data collection, and oversight mechanisms), and how to approach international harmonization given the potential migration of researchers and patients.
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Affiliation(s)
| | - Laura Y. Cabrera
- Center for Ethics & Humanities in the Life Sciences and Dept. Translational Neuroscience, Michigan State University, East Lansing, MI, United States
| | - Paresh Doshi
- Department of Neurosurgery, Jaslok Hospital and Research Center, Mumbai, India
| | - Shirley Fecteau
- Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, Quebec City, QC, Canada
- CERVO Brain Research Center, Center Intégré Universitaire en Santé et Services Sociaux de la Capitale-Nationale, Quebec City, QC, Canada
| | - Joseph J. Fins
- Weill Cornell Medical College, Consortium for the Advanced Study of Brain Injury, Weill Cornell and the Rockefeller University, New York, NY, United States
- Solomon Center for Health Law & Policy, Yale Law School, New Haven, CT, United States
| | | | - Clement Hamani
- Harquail Center for Neuromodulation, Sunnybrook Research Institute, Division of Neurosurgery, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada
| | | | - C. Michael Honey
- Section of Neurosurgery, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada
| | - Judy Illes
- Neuroethics Canada, Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Brian H. Kopell
- Departments of Neurosurgery, Neurology, Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Nir Lipsman
- Division of Neurosurgery, Harquail Center for Neuromodulation, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada
| | - Patrick J. McDonald
- Division of Neurosurgery, Faculty of Medicine, BC Children's Hospital, University of British Columbia, Head, Vancouver, BC, Canada
| | - Helen S. Mayberg
- Departments of Neurology, Neurosurgery, Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Roland Nadler
- Peter A. Allard School of Law, University of British Columbia, Vancouver, BC, Canada
| | - Bart Nuttin
- Neurosurgeon, Katholieke Universiteit (KU) Leuven, Universitair Ziekenhuis (UZ) Leuven, Leuven, Belgium
| | - Albino J. Oliveira-Maia
- Champalimaud Research and Clinical Center, Champalimaud Center for the Unknown, Lisbon, Portugal
- NOVA Medical School, NMS, Universidade Nova De Lisboa, Lisbon, Portugal
| | - Cristian Rangel
- Department of Innovation in Medical Education, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | | | - Arleen Salles
- Center for Research Ethics and Bioethics, Uppsala University, Uppsala, Sweden
| | - Hemmings Wu
- Department of Neurosurgery, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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24
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Deep brain stimulation for refractory obsessive-compulsive disorder (OCD): emerging or established therapy? Mol Psychiatry 2021; 26:60-65. [PMID: 33144712 PMCID: PMC7815503 DOI: 10.1038/s41380-020-00933-x] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 10/22/2020] [Indexed: 11/08/2022]
Abstract
A consensus has yet to emerge whether deep brain stimulation (DBS) for treatment-refractory obsessive-compulsive disorder (OCD) can be considered an established therapy. In 2014, the World Society for Stereotactic and Functional Neurosurgery (WSSFN) published consensus guidelines stating that a therapy becomes established when "at least two blinded randomized controlled clinical trials from two different groups of researchers are published, both reporting an acceptable risk-benefit ratio, at least comparable with other existing therapies. The clinical trials should be on the same brain area for the same psychiatric indication." The authors have now compiled the available evidence to make a clear statement on whether DBS for OCD is established therapy. Two blinded randomized controlled trials have been published, one with level I evidence (Yale-Brown Obsessive Compulsive Scale (Y-BOCS) score improved 37% during stimulation on), the other with level II evidence (25% improvement). A clinical cohort study (N = 70) showed 40% Y-BOCS score improvement during DBS, and a prospective international multi-center study 42% improvement (N = 30). The WSSFN states that electrical stimulation for otherwise treatment refractory OCD using a multipolar electrode implanted in the ventral anterior capsule region (including bed nucleus of stria terminalis and nucleus accumbens) remains investigational. It represents an emerging, but not yet established therapy. A multidisciplinary team involving psychiatrists and neurosurgeons is a prerequisite for such therapy, and the future of surgical treatment of psychiatric patients remains in the realm of the psychiatrist.
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25
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Ramasubbu R, Golding S, Williams K, Mackie A, MacQueen G, Kiss ZHT. Recruitment Challenges for Studies of Deep Brain Stimulation for Treatment-Resistant Depression. Neuropsychiatr Dis Treat 2021; 17:765-775. [PMID: 33731996 PMCID: PMC7956889 DOI: 10.2147/ndt.s299913] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 02/13/2021] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Deep brain stimulation (DBS) is currently an investigational treatment for treatment-resistant depression (TRD). There is a need for more DBS trials to strengthen existing evidence of its efficacy for both regulatory and clinical reasons. Recruitment for DBS trials remains challenging due to unproven efficacy in sham-controlled DBS trials, invasive nature of the intervention and stringent eligibility criteria in patient selection. Here, we examined the referral patterns and reasons for exclusion of subjects in our DBS trial. METHODS Data were collected from all patients who expressed interest in participating in a DBS study involving subcallosal cingulate region from 2014 to 2016. Referral sources were categorized as either self-referral or professional referral. Evaluation for eligibility was performed in three stages; initial contact, brief telephone assessment, and in-person psychiatric evaluation. The reasons for exclusion were documented. Descriptive and inferential statistics were used for analysis. RESULTS Of the 225 patients who contacted us initially, 22 (9.2%) underwent DBS surgery. Self-referral was higher than the referral from professionals (72% versus 28%, P<0.0001). However, the acceptance rate for surgery was higher among the professional referrals than from self-referrals (40% versus 15%, P=0.03). The common reasons for exclusion were self-withdrawal (38.4%), residing out of province or country (26.1%) and psychiatric/medical comorbidity (21.7%). CONCLUSION These findings provide insight into DBS candidacy for future TRD trials. It suggests a need for comprehensive recruitment strategies including active engagement of patients and professionals throughout trials, and effective referral communication with education to optimize recruitment for future DBS trials.
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Affiliation(s)
- Rajamannar Ramasubbu
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neuroscience, University of Calgary, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Sandra Golding
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neuroscience, University of Calgary, Calgary, AB, Canada
| | - Kimberly Williams
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Aaron Mackie
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada
| | - Glenda MacQueen
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Zelma H T Kiss
- Department of Psychiatry, University of Calgary, Calgary, AB, Canada.,Department of Clinical Neuroscience, University of Calgary, Calgary, AB, Canada.,Mathison Centre for Mental Health Research & Education, University of Calgary, Calgary, AB, Canada.,Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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26
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Rabin JS, Davidson B, Giacobbe P, Hamani C, Cohn M, Illes J, Lipsman N. Neuromodulation for major depressive disorder: innovative measures to capture efficacy and outcomes. Lancet Psychiatry 2020; 7:1075-1080. [PMID: 33129374 DOI: 10.1016/s2215-0366(20)30187-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Revised: 04/02/2020] [Accepted: 04/14/2020] [Indexed: 12/13/2022]
Abstract
Major depressive disorder is a common and debilitating disorder. Although most patients with this disorder benefit from established treatments, a subset of patients have symptoms that remain treatment resistant. Novel treatment approaches, such as deep brain stimulation, are urgently needed for patients with treatment-resistant major depressive disorder. These novel treatments are currently being tested in clinical trials in which success hinges on how accurately and comprehensively the primary outcome measure captures the treatment effect. In this Personal View, we argue that current measures used to assess outcomes in neurosurgical trials of major depressive disorder might be missing clinically important treatment effects. A crucial problem of continuing to use suboptimal outcome measures is that true signals of efficacy might be missed, thereby disqualifying potentially effective treatments. We argue that a re-evaluation of how outcomes are measured in these trials is much overdue and describe several novel approaches that attempt to better capture meaningful change.
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Affiliation(s)
- Jennifer S Rabin
- Sunnybrook Research Institute, Toronto, ON, Canada; Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Medicine, Division of Neurology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
| | - Benjamin Davidson
- Sunnybrook Research Institute, Toronto, ON, Canada; Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Medicine, Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Peter Giacobbe
- Sunnybrook Research Institute, Toronto, ON, Canada; Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Psychiatry, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Clement Hamani
- Sunnybrook Research Institute, Toronto, ON, Canada; Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Medicine, Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Melanie Cohn
- Department of Psychology, University of Toronto, Toronto, ON, Canada; Krembil Brain Institute, University Health Network, Toronto, ON, Canada
| | - Judy Illes
- Neuroethics Canada, Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Nir Lipsman
- Sunnybrook Research Institute, Toronto, ON, Canada; Harquail Centre for Neuromodulation, Sunnybrook Health Sciences Centre, Toronto, ON, Canada; Department of Medicine, Division of Neurosurgery, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
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27
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Deng ZD, Luber B, Balderston NL, Velez Afanador M, Noh MM, Thomas J, Altekruse WC, Exley SL, Awasthi S, Lisanby SH. Device-Based Modulation of Neurocircuits as a Therapeutic for Psychiatric Disorders. Annu Rev Pharmacol Toxicol 2020; 60:591-614. [PMID: 31914895 DOI: 10.1146/annurev-pharmtox-010919-023253] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Device-based neuromodulation of brain circuits is emerging as a promising new approach in the study and treatment of psychiatric disorders. This work presents recent advances in the development of tools for identifying neurocircuits as therapeutic targets and in tools for modulating neurocircuits. We review clinical evidence for the therapeutic efficacy of circuit modulation with a range of brain stimulation approaches, including subthreshold, subconvulsive, convulsive, and neurosurgical techniques. We further discuss strategies for enhancing the precision and efficacy of neuromodulatory techniques. Finally, we survey cutting-edge research in therapeutic circuit modulation using novel paradigms and next-generation devices.
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Affiliation(s)
- Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA; .,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina 27710, USA
| | - Bruce Luber
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Nicholas L Balderston
- Section on Neurobiology of Fear and Anxiety, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA
| | - Melbaliz Velez Afanador
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Michelle M Noh
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Jeena Thomas
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - William C Altekruse
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Shannon L Exley
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Shriya Awasthi
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA;
| | - Sarah H Lisanby
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland 20892, USA; .,Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, North Carolina 27710, USA
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28
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Slavin KV, Isagulayn ED, Rzaev DA. Deep Brain Stimulation for Chronic Pain: Time to Reconsider the Skeptical Attitude? Brain Sci 2020; 10:brainsci10110772. [PMID: 33114201 PMCID: PMC7690778 DOI: 10.3390/brainsci10110772] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 10/22/2020] [Indexed: 01/22/2023] Open
Affiliation(s)
- Konstantin V. Slavin
- Department of Neurosurgery, University of Illinois at Chicago, Chicago, IL 60612, USA
- Correspondence:
| | - Emil D. Isagulayn
- Department of Functional Neurosurgery, Federal State Autonomous Institution, N.N. Burdenko National Scientific and Practical Center for Neurosurgery of the Ministry of Healthcare of the Russian Federation, 125047 Moscow, Russia;
| | - Dzhamil A. Rzaev
- Federal Center of Neurosurgery, 630087 Novosibirsk, Russia;
- Institute of Medicine and Psychology, Novosibirsk State University, 630090 Novosibirsk, Russia
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Khairuddin S, Ngo FY, Lim WL, Aquili L, Khan NA, Fung ML, Chan YS, Temel Y, Lim LW. A Decade of Progress in Deep Brain Stimulation of the Subcallosal Cingulate for the Treatment of Depression. J Clin Med 2020; 9:jcm9103260. [PMID: 33053848 PMCID: PMC7601903 DOI: 10.3390/jcm9103260] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/24/2020] [Accepted: 09/28/2020] [Indexed: 12/12/2022] Open
Abstract
Major depression contributes significantly to the global disability burden. Since the first clinical study of deep brain stimulation (DBS), over 446 patients with depression have now undergone this neuromodulation therapy, and 29 animal studies have investigated the efficacy of subgenual cingulate DBS for depression. In this review, we aim to provide a comprehensive overview of the progress of DBS of the subcallosal cingulate in humans and the medial prefrontal cortex, its rodent homolog. For preclinical animal studies, we discuss the various antidepressant-like behaviors induced by medial prefrontal cortex DBS and examine the possible mechanisms including neuroplasticity-dependent/independent cellular and molecular changes. Interestingly, the response rate of subcallosal cingulate Deep brain stimulation marks a milestone in the treatment of depression. DBS achieved response and remission rates of 64–76% and 37–63%, respectively, from clinical studies monitoring patients from 6–24 months. Although some studies showed its stimulation efficacy was limited, it still holds great promise as a therapy for patients with treatment-resistant depression. Overall, further research is still needed, including more credible clinical research, preclinical mechanistic studies, precise selection of patients, and customized electrical stimulation paradigms.
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Affiliation(s)
- Sharafuddin Khairuddin
- Neuromodulation Laboratory, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L4 Laboratory Block, 21 Sassoon Road, Hong Kong, China; (S.K.); (F.Y.N.); (W.L.L.); (M.-L.F.); (Y.-S.C.)
| | - Fung Yin Ngo
- Neuromodulation Laboratory, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L4 Laboratory Block, 21 Sassoon Road, Hong Kong, China; (S.K.); (F.Y.N.); (W.L.L.); (M.-L.F.); (Y.-S.C.)
| | - Wei Ling Lim
- Neuromodulation Laboratory, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L4 Laboratory Block, 21 Sassoon Road, Hong Kong, China; (S.K.); (F.Y.N.); (W.L.L.); (M.-L.F.); (Y.-S.C.)
- Department of Biological Sciences, School of Science and Technology, Sunway University, Bandar Sunway 47500, Malaysia
| | - Luca Aquili
- School of Psychological and Clinical Sciences, Charles Darwin University, NT0815 Darwin, Australia;
| | - Naveed Ahmed Khan
- Department of Biology, Chemistry and Environmental Sciences, College of Arts and Sciences, American University of Sharjah, Sharjah 26666, UAE;
| | - Man-Lung Fung
- Neuromodulation Laboratory, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L4 Laboratory Block, 21 Sassoon Road, Hong Kong, China; (S.K.); (F.Y.N.); (W.L.L.); (M.-L.F.); (Y.-S.C.)
| | - Ying-Shing Chan
- Neuromodulation Laboratory, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L4 Laboratory Block, 21 Sassoon Road, Hong Kong, China; (S.K.); (F.Y.N.); (W.L.L.); (M.-L.F.); (Y.-S.C.)
| | - Yasin Temel
- Departments of Neuroscience and Neurosurgery, Maastricht University, 6229ER Maastricht, The Netherlands;
| | - Lee Wei Lim
- Neuromodulation Laboratory, School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, L4 Laboratory Block, 21 Sassoon Road, Hong Kong, China; (S.K.); (F.Y.N.); (W.L.L.); (M.-L.F.); (Y.-S.C.)
- Department of Biological Sciences, School of Science and Technology, Sunway University, Bandar Sunway 47500, Malaysia
- Correspondence:
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Szechtman H, Harvey BH, Woody EZ, Hoffman KL. The Psychopharmacology of Obsessive-Compulsive Disorder: A Preclinical Roadmap. Pharmacol Rev 2020; 72:80-151. [PMID: 31826934 DOI: 10.1124/pr.119.017772] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
This review evaluates current knowledge about obsessive-compulsive disorder (OCD), with the goal of providing a roadmap for future directions in research on the psychopharmacology of the disorder. It first addresses issues in the description and diagnosis of OCD, including the structure, measurement, and appropriate description of the disorder and issues of differential diagnosis. Current pharmacotherapies for OCD are then reviewed, including monotherapy with serotonin reuptake inhibitors and augmentation with antipsychotic medication and with psychologic treatment. Neuromodulatory therapies for OCD are also described, including psychosurgery, deep brain stimulation, and noninvasive brain stimulation. Psychotherapies for OCD are then reviewed, focusing on behavior therapy, including exposure and response prevention and cognitive therapy, and the efficacy of these interventions is discussed, touching on issues such as the timing of sessions, the adjunctive role of pharmacotherapy, and the underlying mechanisms. Next, current research on the neurobiology of OCD is examined, including work probing the role of various neurotransmitters and other endogenous processes and etiology as clues to the neurobiological fault that may underlie OCD. A new perspective on preclinical research is advanced, using the Research Domain Criteria to propose an adaptationist viewpoint that regards OCD as the dysfunction of a normal motivational system. A systems-design approach introduces the security motivation system (SMS) theory of OCD as a framework for research. Finally, a new perspective on psychopharmacological research for OCD is advanced, exploring three approaches: boosting infrastructure facilities of the brain, facilitating psychotherapeutic relearning, and targeting specific pathways of the SMS network to fix deficient SMS shut-down processes. SIGNIFICANCE STATEMENT: A significant proportion of patients with obsessive-compulsive disorder (OCD) do not achieve remission with current treatments, indicating the need for innovations in psychopharmacology for the disorder. OCD may be conceptualized as the dysfunction of a normal, special motivation system that evolved to manage the prospect of potential danger. This perspective, together with a wide-ranging review of the literature, suggests novel directions for psychopharmacological research, including boosting support systems of the brain, facilitating relearning that occurs in psychotherapy, and targeting specific pathways in the brain that provide deficient stopping processes in OCD.
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Affiliation(s)
- Henry Szechtman
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (H.S.); SAMRC Unit on Risk Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, and Center of Excellence for Pharmaceutical Sciences, School of Pharmacy, North-West University (Potchefstroom Campus), Potchefstroom, South Africa (B.H.H.); Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada (E.Z.W.); and Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico (K.L.H.)
| | - Brian H Harvey
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (H.S.); SAMRC Unit on Risk Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, and Center of Excellence for Pharmaceutical Sciences, School of Pharmacy, North-West University (Potchefstroom Campus), Potchefstroom, South Africa (B.H.H.); Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada (E.Z.W.); and Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico (K.L.H.)
| | - Erik Z Woody
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (H.S.); SAMRC Unit on Risk Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, and Center of Excellence for Pharmaceutical Sciences, School of Pharmacy, North-West University (Potchefstroom Campus), Potchefstroom, South Africa (B.H.H.); Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada (E.Z.W.); and Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico (K.L.H.)
| | - Kurt Leroy Hoffman
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada (H.S.); SAMRC Unit on Risk Resilience in Mental Disorders, Department of Psychiatry, University of Cape Town, and Center of Excellence for Pharmaceutical Sciences, School of Pharmacy, North-West University (Potchefstroom Campus), Potchefstroom, South Africa (B.H.H.); Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada (E.Z.W.); and Centro de Investigación en Reproducción Animal, CINVESTAV-Universidad Autónoma de Tlaxcala, Tlaxcala, Mexico (K.L.H.)
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Metabolic activity in subcallosal cingulate predicts response to deep brain stimulation for depression. Neuropsychopharmacology 2020; 45:1681-1688. [PMID: 32580207 PMCID: PMC7419290 DOI: 10.1038/s41386-020-0745-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 05/06/2020] [Accepted: 06/12/2020] [Indexed: 01/03/2023]
Abstract
Subcallosal cingulate (SCC) deep brain stimulation (DBS) is a promising therapy for treatment-resistant depression (TRD), but response rates in open-label studies were not replicated in a large multicenter trial. Identifying biomarkers of response could improve patient selection and outcomes. We examined SCC metabolic activity as both a predictor and marker of SCC DBS treatment response. Brain glucose metabolism (CMRGlu) was measured with [18F] FDG-PET at baseline and 6 months post DBS in 20 TRD patients in a double-blind randomized controlled trial where two stimulation types (long pulse width (LPW) n = 9 and short pulse width (SPW) n = 11) were used. Responders (n = 10) were defined by a ≥48% reduction in Hamilton Depression Rating Scale scores after 6 months. The response rates were similar with five responders in each stimulation group: LPW (55.6%) and SPW (44.5%). First, differences in SCC CMRGlu in responders and non-responders were compared at baseline. Then machine learning analysis was performed with a leave-one-out cross-validation using a Gaussian naive Bayes classifier to test whether baseline CMRGlu in SCC could categorize responders. Finally, we compared 6-month change in metabolic activity with change in depression severity. All analyses were controlled for age. Baseline SCC CMRGlu was significantly higher in responders than non-responders. The machine learning analysis predicted response with 80% accuracy. Furthermore, reduction in SCC CMRGlu 6 months post DBS correlated with symptom improvement (r(17) = 0.509; p = 0.031). This is the first evidence of an image-based treatment selection biomarker that predicts SCC DBS response. Future studies could utilize SCC metabolic activity for prospective patient selection.
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Lai Y, Wang T, Zhang C, Lin G, Voon V, Chang J, Sun B. Effectiveness and safety of neuroablation for severe and treatment-resistant obsessive-compulsive disorder: a systematic review and meta-analysis. J Psychiatry Neurosci 2020; 45:356-369. [PMID: 32549057 PMCID: PMC7850151 DOI: 10.1503/jpn.190079] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 08/05/2019] [Accepted: 01/16/2020] [Indexed: 11/01/2022] Open
Abstract
Background Several neuroablative procedures are available for severe and treatment-resistant obsessive-compulsive disorder (OCD), but limited knowledge about their relative clinical advantages and disadvantages poses obstacles for treatment decision-making. Methods We searched PubMed, Embase, Scopus, Web of Knowledge and the Cochrane Library for reports up to February 2019. We reviewed the literature on the effectiveness (assessed using the Yale-Brown Obsessive Compulsive Scale [Y-BOCS]) and safety of various neuroablative interventions for severe and treatment-resistant OCD. Results We included 23 studies involving 487 patients in the systematic review; 21 studies with 459 patients entered meta-analysis. Overall, neuroablation achieved a response rate (proportion of patients with ≥ 35% reduction in Y-BOCS) of 55%. Most of the adverse events (88.4%) were mild and transient. The top 3 adverse events were headache (14.9%), cognitive deficits (9.1%) and behaviour problems (8.1%). Severe or permanent adverse events included personality changes (2.3%) and brain edema or brain cyst (1.5%). The response rates associated with capsulotomy, limbic leucotomy and cingulotomy were 59% (95% confidence interval [CI] 54-65), 47% (95% CI 23-72) and 36% (95% CI 23-50), respectively. Interventions with different coverages of the dorsal part of the internal capsule were associated with different adverse-event profiles but were unlikely to modify clinical effectiveness. Limitations The level of evidence of most included studies was relatively low. Conclusion Ablative surgeries are safe and effective for a large proportion of patients with severe and treatment-resistant OCD. Among the available procedures, capsulotomy seemed to be the most effective. Further research is needed to improve clinical effectiveness and minimize risks.
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Affiliation(s)
- Yijie Lai
- From the Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lai, Wang, Zhang, Sun); the Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lin); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (Voon); and the Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea (Chang)
| | - Tao Wang
- From the Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lai, Wang, Zhang, Sun); the Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lin); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (Voon); and the Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea (Chang)
| | - Chencheng Zhang
- From the Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lai, Wang, Zhang, Sun); the Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lin); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (Voon); and the Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea (Chang)
| | - Guozhen Lin
- From the Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lai, Wang, Zhang, Sun); the Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lin); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (Voon); and the Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea (Chang)
| | - Valerie Voon
- From the Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lai, Wang, Zhang, Sun); the Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lin); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (Voon); and the Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea (Chang)
| | - Jinwoo Chang
- From the Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lai, Wang, Zhang, Sun); the Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lin); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (Voon); and the Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea (Chang)
| | - Bomin Sun
- From the Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lai, Wang, Zhang, Sun); the Department of Psychiatry, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China (Lin); the Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom (Voon); and the Department of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea (Chang)
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Hitti FL, Yang AI, Cristancho MA, Baltuch GH. Deep Brain Stimulation Is Effective for Treatment-Resistant Depression: A Meta-Analysis and Meta-Regression. J Clin Med 2020; 9:jcm9092796. [PMID: 32872572 PMCID: PMC7564277 DOI: 10.3390/jcm9092796] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 08/26/2020] [Accepted: 08/27/2020] [Indexed: 01/01/2023] Open
Abstract
Major depressive disorder (MDD) is a leading cause of disability and a significant cause of mortality worldwide. Approximately 30–40% of patients fail to achieve clinical remission with available pharmacological treatments, a clinical course termed treatment-resistant depression (TRD). Numerous studies have investigated deep brain stimulation (DBS) as a therapy for TRD. We performed a meta-analysis to determine efficacy and a meta-regression to compare stimulation targets. We identified and screened 1397 studies. We included 125 citations in the qualitative review and considered 26 for quantitative analysis. Only blinded studies that compared active DBS to sham stimulation (k = 12) were included in the meta-analysis. The random-effects model supported the efficacy of DBS for TRD (standardized mean difference = −0.75, <0 favors active stimulation; p = 0.0001). The meta-regression did not demonstrate a statistically significant difference between stimulation targets (p = 0.45). While enthusiasm for DBS treatment of TRD has been tempered by recent randomized trials, this meta-analysis reveals a significant effect of DBS for the treatment of TRD. Additionally, the majority of trials have demonstrated the safety and efficacy of DBS for this indication. Further trials are required to determine the optimal stimulation parameters and patient populations for which DBS would be effective. Particular attention to factors including electrode placement technique, patient selection, and long-term follow-up is essential for future trial design.
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Affiliation(s)
- Frederick L. Hitti
- Department of Neurosurgery, Pennsylvania Hospital, University of Pennsylvania, 800 Spruce St, Philadelphia, PA 19107, USA; (A.I.Y.); (G.H.B.)
- Correspondence: ; Tel.: +1-215-834-0444
| | - Andrew I. Yang
- Department of Neurosurgery, Pennsylvania Hospital, University of Pennsylvania, 800 Spruce St, Philadelphia, PA 19107, USA; (A.I.Y.); (G.H.B.)
| | - Mario A. Cristancho
- Department of Psychiatry, University of Pennsylvania, 3535 Market Street, Philadelphia, PA 19104, USA;
| | - Gordon H. Baltuch
- Department of Neurosurgery, Pennsylvania Hospital, University of Pennsylvania, 800 Spruce St, Philadelphia, PA 19107, USA; (A.I.Y.); (G.H.B.)
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Rogers AA, Aiani LM, Blanpain LT, Yuxian S, Moore R, Willie JT. Deep brain stimulation of hypothalamus for narcolepsy-cataplexy in mice. Brain Stimul 2020; 13:1305-1316. [PMID: 32320748 DOI: 10.1016/j.brs.2020.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 03/25/2020] [Accepted: 04/08/2020] [Indexed: 10/24/2022] Open
Abstract
BACKGROUND Narcolepsy type 1 (NT1, narcolepsy with cataplexy) is a disabling neurological disorder caused by loss of excitatory orexin neurons from the hypothalamus and is characterized by decreased motivation, sleep-wake fragmentation, intrusion of rapid-eye-movement sleep (REMS) during wake, and abrupt loss of muscle tone, called cataplexy, in response to sudden emotions. OBJECTIVE We investigated whether subcortical stimulation, analogous to clinical deep brain stimulation (DBS), would ameliorate NT1 using a validated transgenic mouse model with postnatal orexin neuron degeneration. METHODS Using implanted electrodes in freely behaving mice, the immediate and prolonged effects of DBS were determined upon behavior using continuous video-electroencephalogram-electromyogram (video/EEG/EMG) and locomotor activity, and neural activation in brain sections, using immunohistochemical labeling of the immediate early gene product c-Fos. RESULTS Brief 10-s stimulation to the region of the lateral hypothalamus and zona incerta (LH/ZI) dose-responsively reversed established sleep and cataplexy episodes without negative sequelae. Continuous 3-h stimulation increased ambulation, improved sleep-wake consolidation, and ameliorated cataplexy. Brain c-Fos from mice sacrificed after 90 min of DBS revealed dose-responsive neural activation within wake-active nuclei of the basal forebrain, hypothalamus, thalamus, and ventral midbrain. CONCLUSION Acute and continuous LH/ZI DBS enhanced behavioral state control in a mouse model of NT1, supporting the feasibility of clinical DBS for NT1 and other sleep-wake disorders.
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Affiliation(s)
| | - Lauren M Aiani
- Department of Neurosurgery, Emory University, USA; Department of Neurology, Emory University, USA
| | | | - Sun Yuxian
- Department of Biostatistics and Bioinformatics, Emory University, USA
| | - Renee Moore
- Department of Biostatistics and Bioinformatics, Emory University, USA
| | - Jon T Willie
- Department of Neurosurgery, Emory University, USA; Department of Neurology, Emory University, USA.
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Cabrera LY, Courchesne C, Kiss ZHT, Illes J. Clinical Perspectives on Psychiatric Neurosurgery. Stereotact Funct Neurosurg 2020; 97:391-398. [PMID: 31955163 DOI: 10.1159/000505080] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 11/22/2019] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Surgical interventions such as stereotactic radiosurgery and magnetic resonance-guided focused ultrasound, and neuromodulatory interventions such as deep brain stimulation (DBS) and vagal nerve stimulation, are under investigation to remediate psychiatric conditions resistant to conventional therapies involving drugs and psychological supports. OBJECTIVE Given the complicated history of psychiatric neurosurgery and its renaissance today, we sought to examine current perceptions and predictions about the field among practicing functional neurosurgeons. METHODS We designed a 51-question online survey comprising Likert-type, multiple-choice, and rank-order questions and distributed it to members of the American Society for Stereotactic and Functional Neurosurgery (ASSFN). Descriptive and inferential statistical analyses were performed on the data. RESULTS We received 38 completed surveys. Half (n = 19) of responders reported devoting at least a portion of their clinical practice to psychiatric neurosurgery, utilizing DBS and treating obsessive compulsive disorder (OCD) most frequently overall. Respondents indicated that psychiatric neurosurgery is more medically effective (OR 0, p = 0.03242, two-sided Fisher's exact test) and has clearer clinical indications for the treatment of OCD than for the treatment of depression (OR 0.09775, p = 0.005137, two-sided Fisher's exact test). Seventy-one percent of all respondents (n = 27) supported the clinical utility of ablative surgery in modern neuropsychiatric practice, 87% (n = 33) agreed that ablative procedures constitute a valid treatment alternative to DBS for some patients, and 61% (n = 23) agreed that ablative surgery may be an acceptable treatment option for patients who are unlikely to comply with postoperative care. CONCLUSIONS This up-to-date account of practices, perceptions, and predictions about psychiatric neurosurgery contributes to the knowledge about evolving attitudes over time and informs priorities for education and further surgical innovation on the psychiatric neurosurgery landscape.
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Affiliation(s)
- Laura Yenisa Cabrera
- Center for Ethics & Humanities in the Life Sciences, Department of Translational Neuroscience, Michigan State University, East Lansing, Michigan, USA,
| | - Caitlin Courchesne
- Neuroethics Canada, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Zelma H T Kiss
- Hotchkiss Brain Institute, Departments of Clinical Neurosciences and Psychiatry, University of Calgary, Calgary, Alberta, Canada
| | - Judy Illes
- Neuroethics Canada, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
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Sang DE, Shi LJ, Yue KC, He CY, Zhao HZ, Wang CH, Hu XZ. Clinical remission of a treatment-refractory individual with severe repetitive rituals and rumination. Asian J Psychiatr 2020; 47:101878. [PMID: 31756555 DOI: 10.1016/j.ajp.2019.101878] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Revised: 11/05/2019] [Accepted: 11/06/2019] [Indexed: 12/01/2022]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a severe chronic mental disorder and tends to be refractory to pharmacotherapy or psychotherapy. For treatment-refractory patients, neurosurgical interventions are options. 64 % of OCD patients who undergo neurosurgery still have greater than 16 in the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) after a long-term follow-up. Here, we reported a patient living with long-term OCD (20 years) who was refractory to pharmacotherapy, mindfulness-based psychotherapy, and neurosurgery that injured his bilateral anterior cingulates (AC) and caudate nucleus. METHODS The patient accepted a novel psychotherapy named cognitive-coping therapy (CCT) and completed Y-BOCS, Hamilton depression rating scale, the Hamilton anxiety rating scale, social and occupational function assessment, and resting-state function magnetic resonance imaging scans (rs-fMRI) before and after 4-week CCT. RESULTS His Y-BOCS score was reduced from 25 to 4. His depression score and anxiety score were reduced from 19 to 3 and from 12 to 3, respectively. The global assessment of functioning score increased from 32 to 88. CONCLUSIONS The remission of the patient suggested that CCT could be an alternative intervention for treatment-refractory OCD and those with severe OCD could be cured in short-term.
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Affiliation(s)
- De-En Sang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453002, Henan Province, PR China
| | - Li-Jing Shi
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453002, Henan Province, PR China
| | - Kai-Chen Yue
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453002, Henan Province, PR China
| | - Chen-Yang He
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453002, Henan Province, PR China
| | - Hong-Zeng Zhao
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453002, Henan Province, PR China
| | - Chang-Hong Wang
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453002, Henan Province, PR China
| | - Xian-Zhang Hu
- The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang City, 453002, Henan Province, PR China; Workstation of Henan Province for Psychiatry Experts, Kaifeng City, 475003, Henan Province, PR China.
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Ramasubbu R, Clark DL, Golding S, Dobson KS, Mackie A, Haffenden A, Kiss ZH. Long versus short pulse width subcallosal cingulate stimulation for treatment-resistant depression: a randomised, double-blind, crossover trial. Lancet Psychiatry 2020; 7:29-40. [PMID: 31860455 DOI: 10.1016/s2215-0366(19)30415-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 10/03/2019] [Accepted: 10/04/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Stimulation adjustment is required to optimise outcomes of deep brain stimulation (DBS) for treatment-resistant depression, but controlled data for ideal stimulation parameters are poor or insufficient. We aimed to establish the efficacy and safety of short pulse width (SPW) and long pulse width (LPW) subcallosal cingulate DBS in depression. METHODS We did a double-blind, randomised, crossover trial in an academic hospital in Calgary, AB, Canada. Patients had DSM IV-defined major depressive disorder and bipolar depression (20-70 years old, both sexes) and did not respond to treatment for more than 1 year, with a score of 20 or more on the 17-item Hamilton Depression Rating Scale (HDRS) at recruitment. Patients underwent bilateral DBS implantation into the subcallosal cingulate white matter using diffusion tensor imaging tractography. Patients were randomly assigned 1:1 without stratification using a computerised list generator to receive either SPW (90 μs) or LPW (210-450 μs) stimulation for 6 months. Patients and the clinician assessing outcomes were masked to the stimulation group. Keeping frequency constant (130 Hz), either pulse width or voltage was increased monthly, based on response using the HDRS. Patients who did not respond to treatment (<50% reduction in HDRS from baseline) at 6 months crossed over to the opposite stimulation for another 6 months. All patients received individualised cognitive behavioural therapy (CBT) for 12 weeks. The primary outcome was change in HDRS at 6 months and 12 months using intention-to-treat analysis. This study is registered with ClinicalTrials.gov, NCT01983904. FINDINGS Between Dec 5, 2013, and Sept 30, 2016, of 225 patients screened for eligibility, 23 patients were selected for DBS surgery. After one patient withdrew, 22 (mean age 46·4 years, SEM 3·1; 10 [45%] female, 12 [55%] male) were randomly assigned, ten (45%) to LPW stimulation and 12 (55%) to SPW stimulation. Patients were followed up at 6 months and 12 months. There was a significant reduction in HDRS scores (p<0·0001) with no difference between SPW and LPW groups (p=0·54) in the randomisation phase at 6 months. Crossover groups did not show a significant decrease in HDRS within groups (p=0·15) and between groups (p=0·21) from 6-12 months. Adverse events were equal between groups. Worsening anxiety and depression were the most common psychological adverse events. One patient in the SPW group died by suicide. INTERPRETATION Both LPW and SPW stimulation of subcallosal cingulate white matter tracts carried similar risks and were equally effective in reducing depressive symptoms, suggesting a role for both pulse width and amplitude titration in optimising clinical outcomes in patients with treatment-resistant depression. FUNDING Alberta Innovates Health Solutions.
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Affiliation(s)
- Rajamannar Ramasubbu
- Departments of Psychiatry and Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Foothills Hospital, Calgary, AB, Canada.
| | - Darren L Clark
- Departments of Psychiatry and Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Sandra Golding
- Departments of Psychiatry and Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Keith S Dobson
- Department of Psychology, University of Calgary, Calgary, AB, Canada
| | | | | | - Zelma Ht Kiss
- Departments of Psychiatry and Clinical Neurosciences, Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Foothills Hospital, Calgary, AB, Canada
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Woody EZ, Hoffman KL, Szechtman H. Obsessive compulsive disorder (OCD): Current treatments and a framework for neurotherapeutic research. ADVANCES IN PHARMACOLOGY 2019; 86:237-271. [PMID: 31378254 DOI: 10.1016/bs.apha.2019.04.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
We briefly review current approaches to the diagnosis and treatment of OCD, noting their lack of a strong theoretical foundation. In keeping with the Research Domain Criteria project (RDoC) calls for reconceptualizing psychopathology in ways that better link up with normal brain systems, we advance an adaptationist, brain-network perspective on OCD and propose that OCD represents a dysfunction in the stopping dynamics of a normal brain network that evolved to handle potential danger. We then illustrate how this theoretical perspective can be used to organize possibilities for research on neurotherapeutics for OCD and suggest novel directions for future work.
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Affiliation(s)
- Erik Z Woody
- Department of Psychology, University of Waterloo, Waterloo, ON, Canada
| | - Kurt Leroy Hoffman
- Centro de Investigación en Reproducción Animal (CIRA), Universidad Autónoma de Tlaxcala-CINVESTAV, Tlaxcala, Mexico
| | - Henry Szechtman
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
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The effects of deep-brain non-stimulation in severe obsessive-compulsive disorder: an individual patient data meta-analysis. Transl Psychiatry 2019; 9:183. [PMID: 31383848 PMCID: PMC6683131 DOI: 10.1038/s41398-019-0522-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 05/28/2019] [Accepted: 06/20/2019] [Indexed: 01/13/2023] Open
Abstract
Non-intervention-related effects have long been recognized in an array of medical interventions, to which surgical procedures like deep-brain stimulation are no exception. While the existence of placebo and micro-lesion effects has been convincingly demonstrated in DBS for major depression and Parkinson's disease, systematic investigations for obsessive-compulsive disorder (OCD) are currently lacking. We therefore undertook an individual patient data meta-analysis with the aim of quantifying the effect of DBS for severe, treatment-resistant OCD that is not due to the electrical stimulation of brain tissue. The MEDLINE/PubMed database was searched for double-blind, sham-controlled randomized clinical trials published in English between 1998 and 2018. Individual patient data was obtained from the original authors and combined in a meta-analysis. We assessed differences from baseline in obsessive-compulsive symptoms following sham treatment, as measured by the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS). Four studies met the inclusion criteria, randomizing 49 patients to two periods of active or sham stimulation. To preclude confounding by period effects, our estimate was based only on data from those patients who underwent sham stimulation first (n = 24). We found that sham stimulation induced a significant change in the Y-BOCS score (t = -3.15, P < 0.005), lowering it by 4.9 ± 1.6 points [95% CI = (-8.0, -1.8)]. We conclude that non-stimulation-related effects of DBS exist also in OCD. The identification of the factors determining the magnitude and occurrence of these effects will help to design strategies that will ultimately lead to a betterment of future randomized clinical trials.
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40
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Koek RJ, Roach J, Athanasiou N, van 't Wout-Frank M, Philip NS. Neuromodulatory treatments for post-traumatic stress disorder (PTSD). Prog Neuropsychopharmacol Biol Psychiatry 2019; 92:148-160. [PMID: 30641094 DOI: 10.1016/j.pnpbp.2019.01.004] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 12/19/2018] [Accepted: 01/10/2019] [Indexed: 12/12/2022]
Abstract
Electroconvulsive therapy has been used successfully in some individuals with posttraumatic stress disorder (PTSD) whose symptoms have not improved with other treatments. But there are only a few reports. Meanwhile, an array of new neuromodulation strategies, including repetitive transcranial magnetic stimulation, transcranial direct current stimulation, vagus nerve stimulation, trigeminal nerve stimulation, and deep brain stimulation have been developed and applied experimentally in the treatment of other psychiatric disorders. This article will review the clinical evidence and mechanistic basis for their use in PTSD.
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Affiliation(s)
- Ralph J Koek
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at Los Angeles, CA, USA; Sepulveda Ambulatory Care Center, Veterans Administration Greater Los Angeles Healthcare System, North Hills, CA, USA.
| | - Janine Roach
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at Los Angeles, CA, USA; Oliveview Medical Center, Sylmar, CA, USA
| | - Nicholas Athanasiou
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at Los Angeles, CA, USA; San Fernando Mental Health Center, Granada Hills, CA, USA
| | - Mascha van 't Wout-Frank
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Noah S Philip
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA; VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Medical Center, Providence, RI, USA
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Desmoulin-Canselier S, Moutaud B. Animal Models and Animal Experimentation in the Development of Deep Brain Stimulation: From a Specific Controversy to a Multidimensional Debate. Front Neuroanat 2019; 13:51. [PMID: 31191261 PMCID: PMC6548025 DOI: 10.3389/fnana.2019.00051] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 05/08/2019] [Indexed: 11/13/2022] Open
Abstract
In this article, we explore a specific controversy about animal experimentation and animal models in the recent history of deep brain stimulation (DBS), and we question its ramifications. DBS development intertwines clinical practice with fundamental research and stands at the crossroads of multiple legacies. We take up the various issues and controversies embedded in this rarely addressed dispute, from a standpoint that combines socio-anthropological and legal aspects. Our starting point is a debate on the role of animal experimentation in the development of DBS between Jarrod Bailey, a researcher promoting the abolition of animal experimentation, and Alim Louis Benabid, Marwan Hariz, and Mahlon DeLong, three key figures in the area of DBS and neuroscience. By clarifying the positions of the different protagonists and retracing the issues raised in these discussions, our objective is to show how this specific debate has extended from its initial space and how it provides an object of study with heuristic scope. We first present this partially polemic discussion about the history of DBS, and its link with a more general debate on the validity and use of animal models and the need for animal experiments. Then, we raise the issue of the relations and interactions between experiments on animals and on humans in the logics of biomedical innovation. The third step is to situate the discussion within the wider framework of opposition towards animal experimentation and the promotion of animal' rights. Finally, combining these interweaved issues, possible implications emerge regarding the future of DBS. We show that behind these several controversies lie the question of translational research and the model of medicine upheld by DBS. We describe how the technology contributes to blurring the lines between research (fundamental, preclinical and clinical research) and care, as well as between humans and animals as substrates and objects of knowledge. The dynamics of DBS future development might then become a point of convergence for neuroscientists and animal rights defenders' interests.
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Affiliation(s)
- Sonia Desmoulin-Canselier
- Centre National de la Recherche Scientifique (CNRS), Nantes, France
- Droit et Changement Social, UMR 6297, Université de Nantes, Nantes, France
| | - Baptiste Moutaud
- Centre National de la Recherche Scientifique (CNRS), Nantes, France
- Laboratoire d’ethnologie et de sociologie comparative, UMR 7186, Université Paris Nanterre, Nanterre, France
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Rutishauser U. Testing Models of Human Declarative Memory at the Single-Neuron Level. Trends Cogn Sci 2019; 23:510-524. [PMID: 31031021 DOI: 10.1016/j.tics.2019.03.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 03/15/2019] [Accepted: 03/20/2019] [Indexed: 11/19/2022]
Abstract
Deciphering the mechanisms of declarative memory is a major goal of neuroscience. While much theoretical progress has been made, it has proven difficult to experimentally verify key predictions of some foundational models of memory. Recently, single-neuron recordings in human patients have started to provide direct experimental verification of some theories, including mnemonic evidence accumulation, balance-of-evidence for confidence judgments, sparse coding, contextual reinstatement, and the ventral tegmental area (VTA)-hippocampus loop model. Here, we summarize the cell types that have been described in the medial temporal lobe and posterior parietal cortex, discuss their properties, and reflect on how these findings inform theoretical work. This body of work exemplifies the scientific power of a synergistic combination of modeling and human single-neuron recordings to advance cognitive neuroscience.
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Affiliation(s)
- Ueli Rutishauser
- Department of Neurosurgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Center for Neural Science and Medicine, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
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43
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Deep brain stimulation of the internal capsule enhances human cognitive control and prefrontal cortex function. Nat Commun 2019; 10:1536. [PMID: 30948727 PMCID: PMC6449385 DOI: 10.1038/s41467-019-09557-4] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 03/19/2019] [Indexed: 01/11/2023] Open
Abstract
Deep brain stimulation (DBS) is a circuit-oriented treatment for mental disorders. Unfortunately, even well-conducted psychiatric DBS clinical trials have yielded inconsistent symptom relief, in part because DBS’ mechanism(s) of action are unclear. One clue to those mechanisms may lie in the efficacy of ventral internal capsule/ventral striatum (VCVS) DBS in both major depression (MDD) and obsessive-compulsive disorder (OCD). MDD and OCD both involve deficits in cognitive control. Cognitive control depends on prefrontal cortex (PFC) regions that project into the VCVS. Here, we show that VCVS DBS’ effect is explained in part by enhancement of PFC-driven cognitive control. DBS improves human subjects’ performance on a cognitive control task and increases theta (5–8Hz) oscillations in both medial and lateral PFC. The theta increase predicts subjects’ clinical outcomes. Our results suggest a possible mechanistic approach to DBS therapy, based on tuning stimulation to optimize these neurophysiologic phenomena. Deep brain stimulation (DBS) is a promising treatment for psychiatric disorders, but its mechanism in relieving symptoms is unclear. Here, the authors show that DBS of ventral internal capsule/ventral striatum (VCVS) may act by enhancing prefrontal cortex oscillations that in turn enhance cognitive control.
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45
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Kumar KK, Bhati MT, Ravikumar VK, Ghanouni P, Stein SC, Halpern CH. MR-Guided Focused Ultrasound Versus Radiofrequency Capsulotomy for Treatment-Refractory Obsessive-Compulsive Disorder: A Cost-Effectiveness Threshold Analysis. Front Neurosci 2019; 13:66. [PMID: 30792625 PMCID: PMC6374333 DOI: 10.3389/fnins.2019.00066] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Accepted: 01/22/2019] [Indexed: 01/28/2023] Open
Abstract
Meta-analytic techniques support neuroablation as a promising therapy for treatment-refractory obsessive-compulsive disorder (OCD). This technique appears to offer a more favorable complication rate and higher utility than deep brain stimulation. Moreover, these pooled findings suggest that bilateral radiofrequency (RF) capsulotomy has marginally greater efficacy than stereotactic radiosurgery or cingulotomy. MR-guided focused ultrasound (MRgFUS) capsulotomy is an emerging approach with a potentially more favorable profile than RF ablation and radiosurgery, with preliminary data suggesting safety and efficacy. As a clinical trial is being developed, our study examined the cost and clinical parameters necessary for MRgFUS capsulotomy to be a more cost-effective alternative to RF capsulotomy. A decision analytical model of MRgFUS with RF capsulotomy for OCD was performed using outcome parameters of percent surgical improvement in Yale-Brown Obsessive Compulsive Scale (Y-BOCS) score, complications, and side effects. The analysis compared measured societal costs, derived from Medicare reimbursement rates, and effectiveness, based on published RF data. Effectiveness was defined as the degree to which MRgFUS lowered Y-BOCS score. Given that MRgFUS is a new therapy for OCD with scant published data, theoretical risks of MRgFUS capsulotomy were derived from published essential tremor outcomes. Sensitivity analysis yielded cost, effectiveness, and complication rates as critical MRgFUS parameters defining the cost-effectiveness threshold. Literature search identified eight publications (162 subjects). The average reduction of preoperative Y-BOCS score was 56.6% after RF capsulotomy with a 22.6% improvement in utility, a measure of quality of life. Complications occurred in 16.2% of RF cases. In 1.42% of cases, complications were considered acute-perioperative and incurred additional hospitalization cost. The adverse events, including neurological and neurobehavioral changes, in the other 14.8% of cases did not incur further costs, although they impacted utility. Rollback analysis of RF capsulotomy yielded an expected effectiveness of 0.212 quality-adjusted life years/year at an average cost of $24,099. Compared to RF capsulotomy, MRgFUS was more cost-effective under a range of possible cost and complication rates. While further study will be required, MRgFUS lacks many of the inherent risks associated with more invasive modalities and has potential as a safe and cost-effective treatment for OCD.
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Affiliation(s)
- Kevin K Kumar
- Department of Neurosurgery, Stanford University, Stanford, CA, United States
| | - Mahendra T Bhati
- Department of Neurosurgery, Stanford University, Stanford, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Vinod K Ravikumar
- Department of Neurosurgery, Stanford University, Stanford, CA, United States
| | - Pejman Ghanouni
- Department of Radiology, Stanford University, Stanford, CA, United States
| | - Sherman C Stein
- Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States
| | - Casey H Halpern
- Department of Neurosurgery, Stanford University, Stanford, CA, United States
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Karas PJ, Lee S, Jimenez-Shahed J, Goodman WK, Viswanathan A, Sheth SA. Deep Brain Stimulation for Obsessive Compulsive Disorder: Evolution of Surgical Stimulation Target Parallels Changing Model of Dysfunctional Brain Circuits. Front Neurosci 2019; 12:998. [PMID: 30670945 PMCID: PMC6331476 DOI: 10.3389/fnins.2018.00998] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 12/11/2018] [Indexed: 01/13/2023] Open
Abstract
Obsessive compulsive disorder (OCD) is a common, disabling psychiatric disease characterized by persistent, intrusive thoughts and ritualistic, repetitive behaviors. Deep brain stimulation (DBS) is thought to alleviate OCD symptoms by modulating underlying disturbances in normal cortico-striato-thalamo-cortical (CSTC) circuitry. Stimulation of the ventral portion of the anterior limb of the internal capsule (ALIC) and underlying ventral striatum (“ventral capsule/ventral striatum” or “VC/VS” target) received U.S. FDA approval in 2009 for patients with severe, treatment-refractory OCD. Over the decades, DBS surgical outcome studies have led to an evolution in the electrical stimulation target. In parallel, advancements in neuroimaging techniques have allowed investigators to better visualize and define CSTC circuits underlying the pathophysiology of OCD. A critical analysis of these new data suggests that the therapeutic mechanism of DBS for OCD likely involves neuromodulation of a widespread cortical/subcortical network, accessible by targeting fiber bundles in the ventral ALIC that connect broad network regions. Future studies will include advances in structural and functional imaging, analysis of physiological recordings, and utilization of next-generation DBS devices. These tools will enable patient-specific optimization of DBS therapy, which will hopefully further improve outcomes.
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Affiliation(s)
| | - Sungho Lee
- Baylor College of Medicine, Houston, TX, United States
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Rammo R, Ali R, Pabaney A, Seidman M, Schwalb J. Surgical Neuromodulation of Tinnitus: A Review of Current Therapies and Future Applications. Neuromodulation 2018; 22:380-387. [DOI: 10.1111/ner.12793] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 03/16/2018] [Accepted: 04/24/2018] [Indexed: 01/01/2023]
Affiliation(s)
- Richard Rammo
- Department of NeurosurgeryHenry Ford HospitalDetroit MI USA
| | - Rushna Ali
- Department of Neurological SurgeryVanderbilt UniversityNashville TN USA
| | - Aqueel Pabaney
- Department of Neurosurgery, Grandview Medical CenterKettering Health NetworkDayton OH USA
| | - Michael Seidman
- Department of OtolaryngologyFlorida Hospital Celebration HealthCelebration FL USA
| | - Jason Schwalb
- Department of NeurosurgeryHenry Ford HospitalDetroit MI USA
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48
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The roles of surgery and technology in understanding focal epilepsy and its comorbidities. Lancet Neurol 2018; 17:373-382. [DOI: 10.1016/s1474-4422(18)30031-0] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 01/12/2018] [Accepted: 01/16/2018] [Indexed: 01/21/2023]
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