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Huang Y, Zelmann R, Hadar P, Dezha-Peralta J, Richardson RM, Williams ZM, Cash SS, Keller CJ, Paulk AC. Theta-burst direct electrical stimulation remodels human brain networks. Nat Commun 2024; 15:6982. [PMID: 39143083 PMCID: PMC11324911 DOI: 10.1038/s41467-024-51443-1] [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: 03/06/2024] [Accepted: 08/07/2024] [Indexed: 08/16/2024] Open
Abstract
Theta-burst stimulation (TBS), a patterned brain stimulation technique that mimics rhythmic bursts of 3-8 Hz endogenous brain rhythms, has emerged as a promising therapeutic approach for treating a wide range of brain disorders, though the neural mechanism of TBS action remains poorly understood. We investigated the neural effects of TBS using intracranial EEG (iEEG) in 10 pre-surgical epilepsy participants undergoing intracranial monitoring. Here we show that individual bursts of direct electrical TBS at 29 frontal and temporal sites evoked strong neural responses spanning broad cortical regions. These responses exhibited dynamic local field potential voltage changes over the course of stimulation presentations, including either increasing or decreasing responses, suggestive of short-term plasticity. Stronger stimulation augmented the mean TBS response amplitude and spread with more recording sites demonstrating short-term plasticity. TBS responses were stimulation site-specific with stronger TBS responses observed in regions with strong baseline stimulation effective (cortico-cortical evoked potentials) and functional (low frequency phase locking) connectivity. Further, we could use these measures to predict stable and varying (e.g. short-term plasticity) TBS response locations. Future work may integrate pre-treatment connectivity alongside other biophysical factors to personalize stimulation parameters, thereby optimizing induction of neuroplasticity within disease-relevant brain networks.
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Affiliation(s)
- Yuhao Huang
- Department of Neurosurgery, Stanford University, Palo Alto, CA, USA
| | - Rina Zelmann
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Peter Hadar
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jaquelin Dezha-Peralta
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - R Mark Richardson
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ziv M Williams
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Sydney S Cash
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Corey J Keller
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA, USA.
- Wu Tsai Neurosciences Institute, Stanford University, Palo Alto, CA, USA.
- Veterans Affairs Palo Alto Healthcare System, and the Sierra Pacific Mental Illness, Research, Education, and Clinical Center (MIRECC), Palo Alto, CA, USA.
| | - Angelique C Paulk
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Center for Neurotechnology and Neurorecovery, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
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Slepneva N, Basich-Pease G, Reid L, Frank AC, Norbu T, Krystal AD, Sugrue LP, Motzkin JC, Larson PS, Starr PA, Morrison MA, Lee AM. Therapeutic DBS for OCD Suppresses the Default Mode Network. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.21.601827. [PMID: 39091832 PMCID: PMC11291060 DOI: 10.1101/2024.07.21.601827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/04/2024]
Abstract
Background Deep brain stimulation (DBS) of the anterior limb of the internal capsule (ALIC) is an emerging treatment for severe, refractory obsessive-compulsive disorder (OCD). The therapeutic effects of DBS are hypothesized to be mediated by direct modulation of a distributed cortico-striato-thalmo-cortical network underlying OCD symptoms. However, the exact underlying mechanism by which DBS exerts its therapeutic effects still remains unclear. Method In five participants receiving DBS for severe, refractory OCD (3 responders, 2 non-responders), we conducted a DBS On/Off cycling paradigm during the acquisition of functional MRI to determine the network effects of stimulation across a variety of bipolar configurations. We also performed tractography using diffusion-weighted imaging (DWI) to relate the functional impact of DBS to the underlying structural connectivity between active stimulation contacts and functional brain networks. Results We found that therapeutic DBS had a distributed effect, suppressing BOLD activity within regions such as the orbitofrontal cortex, dorsomedial prefrontal cortex, and subthalamic nuclei compared to non-therapeutic configurations. Many of the regions suppressed by therapeutic DBS were components of the default mode network (DMN). Moreover, the estimated stimulation field from the therapeutic configurations exhibited significant structural connectivity to core nodes of the DMN. Conclusions Therapeutic DBS for OCD suppresses BOLD activity within a distributed set of regions within the DMN relative to non-therapeutic configurations. We propose that these effects may be mediated by interruption of communication through structural white matter connections surrounding the DBS active contacts.
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Affiliation(s)
- Natalya Slepneva
- Weill Institute for Neurosciences, University of California, San Francisco
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Genevieve Basich-Pease
- Weill Institute for Neurosciences, University of California, San Francisco
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Lee Reid
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Adam C. Frank
- Department of Psychiatry and Behavioral Sciences, Keck School of Medicine of USC
| | - Tenzin Norbu
- Weill Institute for Neurosciences, University of California, San Francisco
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Andrew D Krystal
- Weill Institute for Neurosciences, University of California, San Francisco
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Leo P Sugrue
- Weill Institute for Neurosciences, University of California, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - Julian C Motzkin
- Weill Institute for Neurosciences, University of California, San Francisco
- Departments of Neurology and Anesthesia and Perioperative Care, University of California, San Francisco
| | | | - Philip A. Starr
- Weill Institute for Neurosciences, University of California, San Francisco
- Department of Neurological Surgery, University of California, San Francisco
| | - Melanie A. Morrison
- Weill Institute for Neurosciences, University of California, San Francisco
- Department of Radiology and Biomedical Imaging, University of California, San Francisco
| | - A Moses Lee
- Weill Institute for Neurosciences, University of California, San Francisco
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
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Disrupted neural rhythms predict response in deep brain stimulation for OCD. Nat Med 2024:10.1038/s41591-024-03179-0. [PMID: 39030267 DOI: 10.1038/s41591-024-03179-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2024]
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4
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Provenza NR, Reddy S, Allam AK, Rajesh SV, Diab N, Reyes G, Caston RM, Katlowitz KA, Gandhi AD, Bechtold RA, Dang HQ, Najera RA, Giridharan N, Kabotyanski KE, Momin F, Hasen M, Banks GP, Mickey BJ, Kious BM, Shofty B, Hayden BY, Herron JA, Storch EA, Patel AB, Goodman WK, Sheth SA. Disruption of neural periodicity predicts clinical response after deep brain stimulation for obsessive-compulsive disorder. Nat Med 2024:10.1038/s41591-024-03125-0. [PMID: 38997607 DOI: 10.1038/s41591-024-03125-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 06/11/2024] [Indexed: 07/14/2024]
Abstract
Recent advances in surgical neuromodulation have enabled chronic and continuous intracranial monitoring during everyday life. We used this opportunity to identify neural predictors of clinical state in 12 individuals with treatment-resistant obsessive-compulsive disorder (OCD) receiving deep brain stimulation (DBS) therapy ( NCT05915741 ). We developed our neurobehavioral models based on continuous neural recordings in the region of the ventral striatum in an initial cohort of five patients and tested and validated them in a held-out cohort of seven additional patients. Before DBS activation, in the most symptomatic state, theta/alpha (9 Hz) power evidenced a prominent circadian pattern and a high degree of predictability. In patients with persistent symptoms (non-responders), predictability of the neural data remained consistently high. On the other hand, in patients who improved symptomatically (responders), predictability of the neural data was significantly diminished. This neural feature accurately classified clinical status even in patients with limited duration recordings, indicating generalizability that could facilitate therapeutic decision-making.
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Affiliation(s)
- Nicole R Provenza
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- Department of Electrical & Computer Engineering, Rice University, Houston, TX, USA
| | - Sandesh Reddy
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Anthony K Allam
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Sameer V Rajesh
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Nabeel Diab
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Gabriel Reyes
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Rose M Caston
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, USA
| | - Kalman A Katlowitz
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Ajay D Gandhi
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Raphael A Bechtold
- Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Huy Q Dang
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Ricardo A Najera
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Nisha Giridharan
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | | | - Faiza Momin
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Mohammed Hasen
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Garrett P Banks
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
| | - Brian J Mickey
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, USA
| | - Brent M Kious
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Ben Shofty
- Department of Neurosurgery, University of Utah, Salt Lake City, UT, USA
| | - Benjamin Y Hayden
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- Department of Electrical & Computer Engineering, Rice University, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Jeffrey A Herron
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Ankit B Patel
- Department of Electrical & Computer Engineering, Rice University, Houston, TX, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Wayne K Goodman
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA
- Department of Electrical & Computer Engineering, Rice University, Houston, TX, USA
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Sameer A Sheth
- Department of Neurosurgery, Baylor College of Medicine, Houston, TX, USA.
- Department of Electrical & Computer Engineering, Rice University, Houston, TX, USA.
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA.
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
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Chou T, Kochanowski BJ, Hayden A, Borron BM, Barbeiro MC, Xu J, Kim JW, Zhang X, Bouchard RR, Phan KL, Goodman WK, Dougherty DD. A Low-Intensity Transcranial Focused Ultrasound Parameter Exploration Study of the Ventral Capsule/Ventral Striatum. Neuromodulation 2024:S1094-7159(24)00067-9. [PMID: 38691076 DOI: 10.1016/j.neurom.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 05/03/2024]
Abstract
OBJECTIVES Deep brain stimulation (DBS) of the ventral capsule/ventral striatum (VC/VS) is effective for treatment-resistant obsessive-compulsive disorder (OCD); however, DBS is associated with neurosurgical risks. Transcranial focused ultrasound (tFUS) is a newer form of noninvasive (ie, nonsurgical) stimulation that can modulate deeper regions, such as the VC/VS. tFUS parameters have just begun to be studied and have often not been compared in the same participants. We explored the effects of three VC/VS tFUS protocols and an entorhinal cortex (ErC) tFUS session on the VC/VS and cortico-striato-thalamo-cortical circuit (CSTC) in healthy individuals for later application to patients with OCD. MATERIALS AND METHODS Twelve individuals participated in a total of 48 sessions of tFUS in this exploratory multisite, within-subject parameter study. We collected resting-state, reward task, and arterial spin-labeled (ASL) magnetic resonance imaging scans before and after ErC tFUS and three VC/VS tFUS sessions with different pulse repetition frequencies (PRFs), pulse widths (PWs), and duty cycles (DCs). RESULTS VC/VS protocol A (PRF = 10 Hz, PW = 5 ms, 5% DC) was associated with increased putamen activation during a reward task (p = 0.003), and increased VC/VS resting-state functional connectivity (rsFC) with the anterior cingulate cortex (p = 0.022) and orbitofrontal cortex (p = 0.004). VC/VS protocol C (PRF = 125 Hz, PW = 4 ms, 50% DC) was associated with decreased VC/VS rsFC with the putamen (p = 0.017), and increased VC/VS rsFC with the globus pallidus (p = 0.008). VC/VS protocol B (PRF = 125 Hz, PW = 0.4 ms, 5% DC) was not associated with changes in task-related CSTC activation or rsFC. None of the protocols affected CSTC ASL perfusion. CONCLUSIONS This study began to explore the multidimensional parameter space of an emerging form of noninvasive brain stimulation, tFUS. Our preliminary findings in a small sample suggest that VC/VS tFUS should continue to be investigated for future noninvasive treatment of OCD.
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Affiliation(s)
- Tina Chou
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA.
| | - Brian J Kochanowski
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
| | - Ashley Hayden
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
| | - Benjamin M Borron
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
| | - Miguel C Barbeiro
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
| | - Junqian Xu
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA; Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Joo-Won Kim
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA; Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Xuefeng Zhang
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Richard R Bouchard
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kinh Luan Phan
- Department of Psychiatry and Behavioral Health, Ohio State University College of Medicine, Columbus, OH, USA
| | - Wayne K Goodman
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Darin D Dougherty
- Department of Psychiatry, Massachusetts General Hospital/Harvard Medical School, Charlestown, MA, USA
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6
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Motzkin JC, Kanungo I, D’Esposito M, Shirvalkar P. Network targets for therapeutic brain stimulation: towards personalized therapy for pain. FRONTIERS IN PAIN RESEARCH 2023; 4:1156108. [PMID: 37363755 PMCID: PMC10286871 DOI: 10.3389/fpain.2023.1156108] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/19/2023] [Indexed: 06/28/2023] Open
Abstract
Precision neuromodulation of central brain circuits is a promising emerging therapeutic modality for a variety of neuropsychiatric disorders. Reliably identifying in whom, where, and in what context to provide brain stimulation for optimal pain relief are fundamental challenges limiting the widespread implementation of central neuromodulation treatments for chronic pain. Current approaches to brain stimulation target empirically derived regions of interest to the disorder or targets with strong connections to these regions. However, complex, multidimensional experiences like chronic pain are more closely linked to patterns of coordinated activity across distributed large-scale functional networks. Recent advances in precision network neuroscience indicate that these networks are highly variable in their neuroanatomical organization across individuals. Here we review accumulating evidence that variable central representations of pain will likely pose a major barrier to implementation of population-derived analgesic brain stimulation targets. We propose network-level estimates as a more valid, robust, and reliable way to stratify personalized candidate regions. Finally, we review key background, methods, and implications for developing network topology-informed brain stimulation targets for chronic pain.
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Affiliation(s)
- Julian C. Motzkin
- Departments of Neurology and Anesthesia and Perioperative Care (Pain Management), University of California, San Francisco, San Francisco, CA, United States
| | - Ishan Kanungo
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Mark D’Esposito
- Department of Psychology, University of California, Berkeley, Berkeley, CA, United States
| | - Prasad Shirvalkar
- Departments of Neurology and Anesthesia and Perioperative Care (Pain Management), University of California, San Francisco, San Francisco, CA, United States
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
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7
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Shi Y, Wang M, Xiao L, Gui L, Zheng W, Bai L, Su B, Li B, Xu Y, Pan W, Zhang J, Wang W. Potential therapeutic mechanism of deep brain stimulation of the nucleus accumbens in obsessive-compulsive disorder. Front Cell Neurosci 2023; 16:1057887. [PMID: 36687525 PMCID: PMC9845878 DOI: 10.3389/fncel.2022.1057887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/12/2022] [Indexed: 01/05/2023] Open
Abstract
Deep brain stimulation (DBS) of the nucleus accumbens (NAc) (NAc-DBS) is an effective solution to refractory obsessive-compulsive disorder (OCD). However, evidence for the neurobiological mechanisms of OCD and the effect of NAc-DBS is still lacking. One hypothesis is that the electrophysiological activities in the NAc are modulated by DBS, and another hypothesis is that the activities of neurotransmitters in the NAc are influenced by DBS. To investigate these potential alterations, rats with quinpirole (QNP)- induced OCD were treated with DBS of the core part of NAc. Then, extracellular spikes (SPK) and local field potentials (LFP) in the NAc were recorded, and the levels of relevant neurotransmitters and related proteins were measured. Analysis of SPK revealed that the firing rate was decreased and the firing pattern was changed after NAc-DBS, and analysis of LFP showed that overall power spectral density (PSD) levels were reduced after NAc-DBS. Additionally, we found that the relative powers of the theta band, alpha band and beta band were increased in OCD status, while the relative powers of the delta band and gamma band were decreased. This pathological pattern of power distribution was reformed by NAc-DBS. Furthermore, we found that the local levels of monoamines [dopamine (DA) and serotonin (5-HT)] and amino acids [glutamate (Glu) and gamma-aminobutyric acid (GABA)] in the NAc were increased in OCD status, and that the expression of the two types of DA receptors in the NAc exhibited an opposite change. These abnormalities could be reversed by NAc-DBS. These findings provide a more comprehensive understanding about the function of the NAc in the pathophysiology of OCD and provide more detailed evidence for the potential effect of NAc-DBS.
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Affiliation(s)
- Yifeng Shi
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mengqi Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Linglong Xiao
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Luolan Gui
- Laboratory of Clinical Proteomics and Metabolomics, Frontiers Science Center for Disease-Related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Institutes for Systems Genetics, Sichuan University, Chengdu, Sichuan, China
| | - Wen Zheng
- Laboratory of Clinical Proteomics and Metabolomics, Frontiers Science Center for Disease-Related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Institutes for Systems Genetics, Sichuan University, Chengdu, Sichuan, China
| | - Lin Bai
- Histology and Imaging Platform, Core Facilities of West China Hospital, Sichuan University, Chengdu, Sichuan, China,Key Laboratory of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bo Su
- Histology and Imaging Platform, Core Facilities of West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Bin Li
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yangyang Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Pan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jie Zhang
- Histology and Imaging Platform, Core Facilities of West China Hospital, Sichuan University, Chengdu, Sichuan, China,Key Laboratory of Transplant Engineering and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Wang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China,*Correspondence: Wei Wang,
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Kammen A, Cavaleri J, Lam J, Frank AC, Mason X, Choi W, Penn M, Brasfield K, Van Noppen B, Murray SB, Lee DJ. Neuromodulation of OCD: A review of invasive and non-invasive methods. Front Neurol 2022; 13:909264. [PMID: 36016538 PMCID: PMC9397524 DOI: 10.3389/fneur.2022.909264] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 07/19/2022] [Indexed: 12/27/2022] Open
Abstract
Early research into neural correlates of obsessive compulsive disorder (OCD) has focused on individual components, several network-based models have emerged from more recent data on dysfunction within brain networks, including the the lateral orbitofrontal cortex (lOFC)-ventromedial caudate, limbic, salience, and default mode networks. Moreover, the interplay between multiple brain networks has been increasingly recognized. As the understanding of the neural circuitry underlying the pathophysiology of OCD continues to evolve, so will too our ability to specifically target these networks using invasive and noninvasive methods. This review discusses the rationale for and theory behind neuromodulation in the treatment of OCD.
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Affiliation(s)
- Alexandra Kammen
- Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Jonathon Cavaleri
- Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Jordan Lam
- Department of Neurosurgery, University of Michigan, Ann Arbor, MI, United States
| | - Adam C. Frank
- Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Xenos Mason
- Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Wooseong Choi
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Marisa Penn
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Kaevon Brasfield
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Barbara Van Noppen
- Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Stuart B. Murray
- Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Darrin Jason Lee
- Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
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9
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Whitehead T, Barrera A. A narrative review of ablative neurosurgery in refractory mental disorders. BJPSYCH ADVANCES 2022. [DOI: 10.1192/bja.2022.51] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
SUMMARY
Neurosurgery for mental disorder (NMD) is currently performed in the UK for cases of severe depressive disorder and obsessive–compulsive disorder refractory to treatment, under stringent regulations as set out under the Mental Health Act 1983. These surgical procedures appear to be effective for a proportion of individuals in this particularly treatment-resistant cohort. The two ablative procedures currently in use in the UK are anterior cingulotomy (ACING) and anterior capsulotomy (ACAPS). After briefly outlining these procedures, their evidence base and how they compare with other neurosurgical procedures, we suggest two ways in which they could be enhanced in terms of precision, namely the use of stereotactic (Gamma Knife®) radiosurgery guided by magnetic resonance imaging as well as a detailed and expanded standardised psychopathological and neuropsychological assessment both before and after surgery. The latter should involve extended long-term follow-up. We then reflect on how such psychopathological and neuropsychological assessments could help to understand why and how these procedures relieve patients’ suffering and distress.
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Yu CP, Tsang CP, Ip YM. Gamma knife radiosurgery versus deep brain stimulation for treatment-refractory depression and obsessive-compulsive disorder: A brief comparative summary. PROGRESS IN BRAIN RESEARCH 2022; 272:33-40. [PMID: 35667805 DOI: 10.1016/bs.pbr.2022.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Both gamma knife surgery (GKS) and deep brain stimulation (DBS) have documented success in management of treatment-refractory major depressive disorder (MDD) and obsessive-compulsive disorder (OCD), but there are no formal randomized controlled trials to compare these treatment modalities in cases of psychiatric illnesses. In this brief review, comparison of GKS and DBS for management of MDD and OCD was done with regard to their efficacy, accompanying risks, reversibility of therapeutic effects, costs, availability, and daily life issues. Currently available evidence does not support the superiority of either evaluated treatment modality over each other in terms of clinical efficacy in cases of MDD and OCD. Nevertheless, with regard to risks, costs, device maintenance, and daily life issues, GKS definitely seems more advantageous. Reversibility of therapeutic effects of DBS is certainly highly attractive, while may be a bit overhyped. In any case, synergy between GKS and DBS for management of mental illnesses lies in the continuing pursuit of improvement and raising the bar of excellence.
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Affiliation(s)
- Chung Ping Yu
- Gamma Knife Centre, Canossa Hospital, Hong Kong, SAR, China; Clinical Neuroscience Centre, Neurosurgery Centre, Hong Kong Sanatorium and Hospital, Hong Kong, SAR, China.
| | - Chun Pong Tsang
- Clinical Neuroscience Centre, Neurosurgery Centre, Hong Kong Sanatorium and Hospital, Hong Kong, SAR, China
| | - Yan Ming Ip
- Psychiatry Services, Canossa Hospital, Hong Kong, SAR, China
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11
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Stevens I, Gilbert F. International Regulatory Standards for the Qualitative Measurement of Deep Brain Stimulation in Clinical Research. J Empir Res Hum Res Ethics 2022; 17:228-241. [DOI: 10.1177/15562646221094922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Deep brain stimulation (DBS) has progressed to become a promising treatment modality for neurologic and psychiatric disorders like epilepsy and major depressive disorder due to its growing personalization. Despite evidence pointing to the benefits of DBS if tested on these personalized qualitative metrics, rather than randomized-control trial quantitative standards, the evaluation of these novel devices appears to be based on the latter. This study surveyed the presence of this trend in the national regulatory guidelines of the prominent DBS researching countries. It was found that two governing bodies, in the European Union and Australia, acknowledged the option for qualitative measures. These findings support further development of national regulatory guidelines, so the neuroscientific community developing these neurotechnologies can better understand the impact their treatments have on patients.
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Affiliation(s)
- I. Stevens
- School of Humanities, University of Tasmania, Hobart, Tasmania, Australia
| | - F. Gilbert
- School of Humanities, University of Tasmania, Hobart, Tasmania, Australia
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Mahoney JJ, Koch-Gallup N, Scarisbrick DM, Berry JH, Rezai AR. Deep brain stimulation for psychiatric disorders and behavioral/cognitive-related indications: Review of the literature and implications for treatment. J Neurol Sci 2022; 437:120253. [DOI: 10.1016/j.jns.2022.120253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Revised: 02/23/2022] [Accepted: 04/03/2022] [Indexed: 11/15/2022]
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Müller S, van Oosterhout A, Bervoets C, Christen M, Martínez-Álvarez R, Bittlinger M. Concerns About Psychiatric Neurosurgery and How They Can Be Overcome: Recommendations for Responsible Research. NEUROETHICS-NETH 2022. [DOI: 10.1007/s12152-022-09485-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Abstract
Background
Psychiatric neurosurgery is experiencing a revival. Beside deep brain stimulation (DBS), several ablative neurosurgical procedures are currently in use. Each approach has a different profile of advantages and disadvantages. However, many psychiatrists, ethicists, and laypeople are sceptical about psychiatric neurosurgery.
Methods
We identify the main concerns against psychiatric neurosurgery, and discuss the extent to which they are justified and how they might be overcome. We review the evidence for the effectiveness, efficacy and safety of each approach, and discuss how this could be improved. We analyse whether and, if so, how randomised controlled trials (RCTs) can be used in the different approaches, and what alternatives are available if conducting RCTs is impossible for practical or ethical reasons. Specifically, we analyse the problem of failed RCTs after promising open-label studies.
Results
The main concerns are: (i) reservations based on historical psychosurgery, (ii) concerns about personality changes, (iii) concerns regarding localised interventions, and (iv) scepticism due to the lack of scientific evidence. Given the need for effective therapies for treatment-refractory psychiatric disorders and preliminary evidence for the effectiveness of psychiatric neurosurgery, further research is warranted and necessary. Since psychiatric neurosurgery has the potential to modify personality traits, it should be held to the highest ethical and scientific standards.
Conclusions
Psychiatric neurosurgery procedures with preliminary evidence for efficacy and an acceptable risk–benefit profile include DBS and micro- or radiosurgical anterior capsulotomy for intractable obsessive–compulsive disorder. These methods may be considered for individual treatment attempts, but multi-centre RCTs are necessary to provide reliable evidence.
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14
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Coffey RJ, Caroff SN. Commentary on the Continued Investigational Status of DBS for Psychiatric Indications. Stereotact Funct Neurosurg 2022; 100:156-167. [PMID: 35104827 DOI: 10.1159/000521395] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 12/07/2021] [Indexed: 11/19/2022]
Abstract
Behavioral disorders exact a tragic toll on patients, families, and society. Consequently, the search for better treatments is a public health priority. Recent research promises to lead to advances in psychiatric treatment that may include implantation of deep brain stimulation (DBS) devices. In this commentary, the authors discuss how promising results from initial pilot studies of DBS in treatment-resistant depression (TRD) were not validated in 2 randomized, controlled, multicenter trials. Reliance on pilot data may have contributed to the selection of primary efficacy endpoints that were not achieved, and to the underestimation of adverse events and device-related complications. Published data on the population prevalence of affective disorders also may have led sponsors to overestimate the number of patients with TRD who were candidates for DBS therapy. Consequently, a more complete discussion of certain aspects of the depression trials may allow a realistic appraisal of the clinical and ethical situation of DBS therapy for TRD in a US regulatory context. A US regulatory perspective also may clarify the clinical research and reimbursement consequences of the Humanitarian Device Exemption (HDE) approval status of DBS for obsessive-compulsive disorder (OCD). Retrospective analyses akin to failure modes and effects analysis in engineering may clarify unexpected results in the DBS depression trials. Recent research suggests that subject selection in future trials may be augmented by advanced neuroimaging methods. For the present, the noncommercial research status of DBS to treat depression and the HDE status for OCD appear likely to remain in place.
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Affiliation(s)
| | - Stanley N Caroff
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
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15
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De Nadai AS, Etherton JL. Beyond Efficacy and Effectiveness: Clinical Efficiency Is Necessary for Dissemination. J Cogn Psychother 2021; 35:221-231. [PMID: 34362861 DOI: 10.1891/jcpsy-d-20-00034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Nearly all patients interact with critical gatekeepers-insurance companies or centralized healthcare systems. For mental health dissemination efforts to be successful, these gatekeepers must refer patients to evidence-based care. To make these referral decisions, they require evidence about the amount of resources expended to achieve therapeutic gains. Without this information, a bottleneck to widespread dissemination of evidence-based care will remain. To address this need for information, we introduce a new perspective, clinical efficiency. This approach directly ties resource usage to clinical outcomes. We highlight how cost-effectiveness approaches and other strategies can address clinical efficiency, and we also introduce a related new metric, the incremental time efficiency ratio (ITER). The ITER is particularly useful for quantifying the benefits of low-intensity and concentrated interventions, as well as stepped-care approaches. Given that stakeholders are increasingly requiring information on resource utilization, the ITER is a metric that can be estimated for past and future clinical trials. As a result, the ITER can allow researchers to better communicate desirable aspects of treatment, and an increased focus on clinical efficiency can improve our ability to deliver high-quality treatment to more patients in need.
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Vedam-Mai V, Deisseroth K, Giordano J, Lazaro-Munoz G, Chiong W, Suthana N, Langevin JP, Gill J, Goodman W, Provenza NR, Halpern CH, Shivacharan RS, Cunningham TN, Sheth SA, Pouratian N, Scangos KW, Mayberg HS, Horn A, Johnson KA, Butson CR, Gilron R, de Hemptinne C, Wilt R, Yaroshinsky M, Little S, Starr P, Worrell G, Shirvalkar P, Chang E, Volkmann J, Muthuraman M, Groppa S, Kühn AA, Li L, Johnson M, Otto KJ, Raike R, Goetz S, Wu C, Silburn P, Cheeran B, Pathak YJ, Malekmohammadi M, Gunduz A, Wong JK, Cernera S, Wagle Shukla A, Ramirez-Zamora A, Deeb W, Patterson A, Foote KD, Okun MS. Proceedings of the Eighth Annual Deep Brain Stimulation Think Tank: Advances in Optogenetics, Ethical Issues Affecting DBS Research, Neuromodulatory Approaches for Depression, Adaptive Neurostimulation, and Emerging DBS Technologies. Front Hum Neurosci 2021; 15:644593. [PMID: 33953663 PMCID: PMC8092047 DOI: 10.3389/fnhum.2021.644593] [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: 12/21/2020] [Accepted: 03/10/2021] [Indexed: 12/20/2022] Open
Abstract
We estimate that 208,000 deep brain stimulation (DBS) devices have been implanted to address neurological and neuropsychiatric disorders worldwide. DBS Think Tank presenters pooled data and determined that DBS expanded in its scope and has been applied to multiple brain disorders in an effort to modulate neural circuitry. The DBS Think Tank was founded in 2012 providing a space where clinicians, engineers, researchers from industry and academia discuss current and emerging DBS technologies and logistical and ethical issues facing the field. The emphasis is on cutting edge research and collaboration aimed to advance the DBS field. The Eighth Annual DBS Think Tank was held virtually on September 1 and 2, 2020 (Zoom Video Communications) due to restrictions related to the COVID-19 pandemic. The meeting focused on advances in: (1) optogenetics as a tool for comprehending neurobiology of diseases and on optogenetically-inspired DBS, (2) cutting edge of emerging DBS technologies, (3) ethical issues affecting DBS research and access to care, (4) neuromodulatory approaches for depression, (5) advancing novel hardware, software and imaging methodologies, (6) use of neurophysiological signals in adaptive neurostimulation, and (7) use of more advanced technologies to improve DBS clinical outcomes. There were 178 attendees who participated in a DBS Think Tank survey, which revealed the expansion of DBS into several indications such as obesity, post-traumatic stress disorder, addiction and Alzheimer’s disease. This proceedings summarizes the advances discussed at the Eighth Annual DBS Think Tank.
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Affiliation(s)
- Vinata Vedam-Mai
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States
| | - Karl Deisseroth
- Department of Bioengineering, Stanford University, Stanford, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - James Giordano
- Department of Neurology and Neuroethics Studies Program, Georgetown University Medical Center, Washington, DC, United States
| | - Gabriel Lazaro-Munoz
- Center for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX, United States
| | - Winston Chiong
- Weill Institute for Neurosciences, Memory and Aging Center, University of California, San Francisco, San Francisco, CA, United States
| | - Nanthia Suthana
- Department of Neurosurgery, David Geffen School of Medicine and Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.,Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States
| | - Jean-Philippe Langevin
- Department of Neurosurgery, David Geffen School of Medicine and Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.,Neurosurgery Service, Department of Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, United States
| | - Jay Gill
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Wayne Goodman
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
| | - Nicole R Provenza
- School of Engineering, Brown University, Providence, RI, United States
| | - Casey H Halpern
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, United States
| | - Rajat S Shivacharan
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, United States
| | - Tricia N Cunningham
- Department of Neurosurgery, Stanford University Medical Center, Stanford, CA, United States
| | - Sameer A Sheth
- Department of Neurological Surgery, Baylor College of Medicine, Houston, TX, United States
| | - Nader Pouratian
- Department of Neurosurgery, David Geffen School of Medicine and Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Katherine W Scangos
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Helen S Mayberg
- Department of Neurology and Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Andreas Horn
- Movement Disorders & Neuromodulation Unit, Department for Neurology, Charité - University Medicine Berlin, Berlin, Germany
| | - Kara A Johnson
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.,Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
| | - Christopher R Butson
- Department of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.,Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, United States
| | - Ro'ee Gilron
- Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States
| | - Coralie de Hemptinne
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States.,Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States
| | - Robert Wilt
- Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States
| | - Maria Yaroshinsky
- Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States
| | - Simon Little
- Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States
| | - Philip Starr
- Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States
| | - Greg Worrell
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
| | - Prasad Shirvalkar
- Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States.,Department of Anesthesiology (Pain Management) and Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Edward Chang
- Department of Neurological Surgery, Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, CA, United States
| | - Jens Volkmann
- Neurologischen Klinik Universitätsklinikum Würzburg, Würzburg, Germany
| | - Muthuraman Muthuraman
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Sergiu Groppa
- Section of Movement Disorders and Neurostimulation, Biomedical Statistics and Multimodal Signal Processing Unit, Department of Neurology, Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Andrea A Kühn
- Department of Neurology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Luming Li
- National Engineering Laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Matthew Johnson
- Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States
| | - Kevin J Otto
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
| | - Robert Raike
- Restorative Therapies Group Implantables, Research and Core Technology, Medtronic, Minneapolis, MN, United States
| | - Steve Goetz
- Restorative Therapies Group Implantables, Research and Core Technology, Medtronic, Minneapolis, MN, United States
| | - Chengyuan Wu
- Department of Neurological Surgery, Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - Peter Silburn
- Asia Pacific Centre for Neuromodulation, Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Binith Cheeran
- Neuromodulation Division, Abbott, Plano, TX, United States
| | - Yagna J Pathak
- Neuromodulation Division, Abbott, Plano, TX, United States
| | | | - Aysegul Gunduz
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States.,J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
| | - Joshua K Wong
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States
| | - Stephanie Cernera
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States.,J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
| | - Aparna Wagle Shukla
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States
| | - Adolfo Ramirez-Zamora
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States
| | - Wissam Deeb
- Department of Neurology, University of Massachusetts, Worchester, MA, United States
| | - Addie Patterson
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States
| | - Kelly D Foote
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States
| | - Michael S Okun
- Norman Fixel Institute for Neurological Diseases and the Program for Movement Disorders and Neurorestoration, Department of Neurology, University of Florida, Gainesville, FL, United States
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Deep brain stimulation (DBS) in resistant mental disorders. CURRENT PROBLEMS OF PSYCHIATRY 2020. [DOI: 10.2478/cpp-2020-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Introduction: Deep Brain Stimulation can directly alter brain activity in a controlled manner and the effect is reversible. The mechanism is that the electrode acts locally on neural activity, which is transferred to monosynchronous and multisynaptic network connections.
Methods: We present studies conducted on a group of patients that show an improvement in mental state after Deep Brain Stimulation.
Material: The diseases we included in our work are: Obsessive-Compulsive Disorder, Eating Disorder, Depression and Bipolar Affective Disorder.
Discussion: The use of deep brain stimulation can inhibit development of acute state of patients and improve both psychiatric features and the time of remission. The results indicate the greatest effectiveness of Deep Brain Stimulation in Obsessive-Compulsive Disorders.
Conclusions: Brain stimulation may be a promising therapeutic target in mental illness. In a properly selected location, it can contribute to a significant clinical improvement however further research in this direction is necessary.
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Affiliation(s)
- Ned H Kalin
- Department of Psychiatry, University of Wisconsin School of Medicine and Public Health, Madison
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