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Johnson KA, Okun MS, Scangos KW, Mayberg HS, de Hemptinne C. Deep brain stimulation for refractory major depressive disorder: a comprehensive review. Mol Psychiatry 2024; 29:1075-1087. [PMID: 38287101 DOI: 10.1038/s41380-023-02394-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 12/18/2023] [Accepted: 12/21/2023] [Indexed: 01/31/2024]
Abstract
Deep brain stimulation (DBS) has emerged as a promising treatment for select patients with refractory major depressive disorder (MDD). The clinical effectiveness of DBS for MDD has been demonstrated in meta-analyses, open-label studies, and a few controlled studies. However, randomized controlled trials have yielded mixed outcomes, highlighting challenges that must be addressed prior to widespread adoption of DBS for MDD. These challenges include tracking MDD symptoms objectively to evaluate the clinical effectiveness of DBS with sensitivity and specificity, identifying the patient population that is most likely to benefit from DBS, selecting the optimal patient-specific surgical target and stimulation parameters, and understanding the mechanisms underpinning the therapeutic benefits of DBS in the context of MDD pathophysiology. In this review, we provide an overview of the latest clinical evidence of MDD DBS effectiveness and the recent technological advancements that could transform our understanding of MDD pathophysiology, improve the clinical outcomes for MDD DBS, and establish a path forward to develop more effective neuromodulation therapies to alleviate depressive symptoms.
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Affiliation(s)
- Kara A Johnson
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Michael S Okun
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA
- Department of Neurology, University of Florida, Gainesville, FL, USA
| | - Katherine W Scangos
- Department of Psychiatry and Behavioral Sciences, Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Helen S Mayberg
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Coralie de Hemptinne
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA.
- Department of Neurology, University of Florida, Gainesville, FL, USA.
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Xia J, Zhang F, Zhang L, Cao Z, Dong S, Zhang S, Luo J, Zhou G. Magnetically Compatible Brain Electrode Arrays Based on Single-Walled Carbon Nanotubes for Long-Term Implantation. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:240. [PMID: 38334511 PMCID: PMC10856774 DOI: 10.3390/nano14030240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/10/2024]
Abstract
Advancements in brain-machine interfaces and neurological treatments urgently require the development of improved brain electrodes applied for long-term implantation, where traditional and polymer options face challenges like size, tissue damage, and signal quality. Carbon nanotubes are emerging as a promising alternative, combining excellent electronic properties and biocompatibility, which ensure better neuron coupling and stable signal acquisition. In this study, a new flexible brain electrode array based on 99.99% purity of single-walled carbon nanotubes (SWCNTs) was developed, which has 30 um × 40 um size, about 5.1 kΩ impedance, and 14.01 dB signal-to-noise ratio (SNR). The long-term implantation experiment in vivo in mice shows the proposed brain electrode can maintain stable LFP signal acquisition over 12 weeks while still achieving an SNR of 3.52 dB. The histological analysis results show that SWCNT-based brain electrodes induced minimal tissue damage and showed significantly reduced glial cell responses compared to platinum wire electrodes. Long-term stability comes from SWCNT's biocompatibility and chemical inertness, the electrode's flexible and fine structure. Furthermore, the new brain electrode array can function effectively during 7-Tesla magnetic resonance imaging, enabling the collection of local field potential and even epileptic discharges during the magnetic scan. This study provides a comprehensive study of carbon nanotubes as invasive brain electrodes, providing a new path to address the challenge of long-term brain electrode implantation.
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Affiliation(s)
- Jie Xia
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
- Nanhu Brain-Computer Interface Institute, Hangzhou 311121, China
| | - Fan Zhang
- The Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China; (F.Z.); (S.Z.)
| | - Luxi Zhang
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
- Nanhu Brain-Computer Interface Institute, Hangzhou 311121, China
| | - Zhen Cao
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
| | - Shurong Dong
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
- Nanhu Brain-Computer Interface Institute, Hangzhou 311121, China
| | - Shaomin Zhang
- The Key Laboratory of Biomedical Engineering of Ministry of Education, Qiushi Academy for Advanced Studies, Zhejiang University, Hangzhou 310027, China; (F.Z.); (S.Z.)
| | - Jikui Luo
- College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China; (J.X.); (L.Z.); (J.L.)
| | - Guodong Zhou
- College of Integrated Circuits, Zhejiang University, Hangzhou 311200, China;
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Chan JL, Carpentier AV, Middlebrooks EH, Okun MS, Wong JK. Current perspectives on tractography-guided deep brain stimulation for the treatment of mood disorders. Expert Rev Neurother 2024; 24:11-24. [PMID: 38037329 DOI: 10.1080/14737175.2023.2289573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 11/27/2023] [Indexed: 12/02/2023]
Abstract
INTRODUCTION Deep brain stimulation (DBS) is an emerging therapy for mood disorders, particularly treatment-resistant depression (TRD). Different brain areas implicated in depression-related brain networks have been investigated as DBS targets and variable clinical outcomes highlight the importance of target identification. Tractography has provided insight into how DBS modulates disorder-related brain networks and is being increasingly used to guide DBS for psychiatric disorders. AREAS COVERED In this perspective, an overview of the current state of DBS for TRD and the principles of tractography is provided. Next, a comprehensive review of DBS targets is presented with a focus on tractography. Finally, the challenges and future directions of tractography-guided DBS are discussed. EXPERT OPINION Tractography-guided DBS is a promising tool for improving DBS outcomes for mood disorders. Tractography is particularly useful for targeting patient-specific white matter tracts that are not visible using conventional structural MRI. Developments in tractography methods will help refine DBS targeting for TRD and may facilitate symptom-specific precision neuromodulation. Ultimately, the standardization of tractography methods will be essential to transforming DBS into an established therapy for mood disorders.
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Affiliation(s)
- Jason L Chan
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
- Department of Neurology, University of Florida, Gainesville, Florida, USA
| | - Ariane V Carpentier
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
- Department of Neurology, University of Florida, Gainesville, Florida, USA
| | | | - Michael S Okun
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
- Department of Neurology, University of Florida, Gainesville, Florida, USA
| | - Joshua K Wong
- Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, Florida, USA
- Department of Neurology, University of Florida, Gainesville, Florida, USA
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Middlebrooks EH, Tao S, Zhou X, Greco E, Westerhold EM, Tipton PW, Quinones-Hinojosa A, Grewal SS, Patel V. Synthetic Inversion Image Generation using MP2RAGE T1 Mapping for Surgical Targeting in Deep Brain Stimulation and Lesioning. Stereotact Funct Neurosurg 2023; 101:326-331. [PMID: 37607507 DOI: 10.1159/000533259] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 07/20/2023] [Indexed: 08/24/2023]
Abstract
BACKGROUND Advances in MRI technology have increased interest in direct targeting for deep brain stimulation (DBS). Various imaging sequences have been shown to provide increased contrast of numerous common DBS targets, such as T1-weighted, Fast Gray Matter Acquisition T1 Inversion Recovery (FGATIR), gray matter nulled, and Edge-Enhancing Gradient Echo (EDGE); however, the continual increase in the number of necessary sequences has led to an increase in imaging time, which is undesirable. Additionally, carefully timed inversion pulses can often lead to less-than-ideal contrast in some subjects, particularly in ultra-high field MRI, where B1+ field inhomogeneity can lead to substantial contrast variation. OBJECTIVES This study proposes using 3D MP2RAGE-based T1 maps to retrospectively synthesize images of any desired inversion time, including T1-weighted, FGATIR, and EDGE contrasts, to visualize specific DBS targets at both 3T and 7T. METHOD First, a systematic sequence optimization framework was applied to optimize MP2RAGE T1 mapping sequence parameters for the purpose of DBS planning. Next, we show that synthetic inversion-time images can be generated through a mathematical transformation of the T1 maps. The sequence was then applied to patients undergoing preoperative planning for DBS at 3T and 7T to generate synthetic contrasts used in surgical planning. RESULTS We show that synthetic image contrasts can be generated across a full range of inversion times at 3T and 7T, including commonly used sequences for DBS targeting, such as T1-weighted, FGATIR, and EDGE. Acquisition through a single sequence shortens scan time compared to acquiring the sequences independently without affecting image quality or contrast. CONCLUSIONS The generation of synthetic images for DBS targeting allows faster acquisition of many key sequences, as well as the ability to optimize contrast properties post-acquisition to account for the variable B1+ effects present in ultra-high field MRI. The proposed approach has the potential to reduce imaging time and improve the accuracy of DBS targeting at 1.5T, 3T, and 7T.
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Affiliation(s)
- Erik H Middlebrooks
- Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Shengzhen Tao
- Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA
| | - Xiangzhi Zhou
- Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA
| | - Elena Greco
- Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Philip W Tipton
- Department of Neurology, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Sanjeet S Grewal
- Department of Neurosurgery, Mayo Clinic, Jacksonville, Florida, USA
| | - Vishal Patel
- Department of Radiology, Mayo Clinic, Jacksonville, Florida, USA
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Aibar-Durán JÁ, Corripio Collado I, Roldán Bejarano A, Sánchez Nevado R, Aracil Bolanos I, García-Cornet J, Alonso-Solís A, Grasa Bello EM, de Quintana Schmidt C, Muñoz Hernández F, Molet Teixidó J, Rodríguez RR. Long-term outcomes of deep brain stimulation for treatment-resistant schizophrenia: Exploring potential targets. J Psychiatr Res 2023; 163:296-304. [PMID: 37245316 DOI: 10.1016/j.jpsychires.2023.05.056] [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: 03/21/2023] [Revised: 05/03/2023] [Accepted: 05/15/2023] [Indexed: 05/30/2023]
Abstract
BACKGROUND Schizophrenia is a complex and disabling disorder. Around 30% of patients have treatment-resistant schizophrenia (TRS). OBJECTIVE This study summarizes the outcomes after three years follow-up of the first series of patients with TRS treated with deep brain stimulation (DBS) and discuss surgical, clinical and imaging analysis. METHODS Eight patients with TRS treated with DBS in the nucleus accumbens (NAcc) or the subgenual cingulate gyrus (SCG) were included. Symptoms were rated with the PANSS scale and normalized using the illness density index (IDI). A reduction in IDI-PANSS of ≥25% compared to baseline was the criterion of good response. The volume of activated tissue was calculated to perform a connectomic analysis for each patient. An estimation of the tracts and cortical areas modulated was generated. RESULTS Five women and three men were analyzed. After 3 years' follow-up, positive symptoms improved in 50% of the SCG group and 75% of the NAcc group (p = 0.06), and general symptoms improved in 25% and 50% respectively (p = 0.06). The SCG group showed activation of the cingulate bundle and modulation of orbitofrontal and frontomesial regions; in contrast, the NAcc group showed activation of the ventral tegmental area projections pathway and modulation of regions associated with the "default mode network" (precuneus) and Brodmann areas 19 and 20. CONCLUSIONS These results showed a trend toward improvement for positive and general symptoms in patients with TRS treated with DBS. The connectomic analysis will help us understand the interaction of this treatment with the disease to pursue future trial designs.
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Affiliation(s)
- Juan Ángel Aibar-Durán
- Department of Neurosurgery, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Iluminada Corripio Collado
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Alexandra Roldán Bejarano
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain.
| | - Raquel Sánchez Nevado
- Department of Neurosurgery, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Ignacio Aracil Bolanos
- Deparment of Neurology, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Julia García-Cornet
- Ingeniering imaging and Signaling, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Anna Alonso-Solís
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Eva Ma Grasa Bello
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
| | - Cristian de Quintana Schmidt
- Department of Neurosurgery, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Fernando Muñoz Hernández
- Department of Neurosurgery, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Joan Molet Teixidó
- Department of Neurosurgery, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
| | - Rodrigo Rodríguez Rodríguez
- Department of Neurosurgery, Hospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Universitat Autònoma de Barcelona (UAB), Barcelona, Spain
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Leon M, Woo CC. Olfactory loss is a predisposing factor for depression, while olfactory enrichment is an effective treatment for depression. Front Neurosci 2022; 16:1013363. [PMID: 36248633 PMCID: PMC9558899 DOI: 10.3389/fnins.2022.1013363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
The loss of olfactory stimulation correlates well with at least 68 widely differing neurological disorders, including depression, and we raise the possibility that this relationship may be causal. That is, it seems possible that olfactory loss makes the brain vulnerable to expressing the symptoms of these neurological disorders, while daily olfactory enrichment may decrease the risk of expressing these symptoms. This situation resembles the cognitive reserve that is thought to protect people with Alzheimer’s neuropathology from expressing the functional deficit in memory through the cumulative effect of intellectual stimulation. These relationships also resemble the functional response of animal models of human neurological disorders to environmental enrichment, wherein the animals continue to have the induced neuropathology, but do not express the symptoms as they do in a standard environment with restricted sensorimotor stimulation.
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Affiliation(s)
- Michael Leon
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
- Center for the Neurobiology of Learning and Memory, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, United States
- *Correspondence: Michael Leon,
| | - Cynthia C. Woo
- Department of Neurobiology and Behavior, University of California, Irvine, Irvine, CA, United States
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Figee M, Riva-Posse P, Choi KS, Bederson L, Mayberg HS, Kopell BH. Deep Brain Stimulation for Depression. Neurotherapeutics 2022; 19:1229-1245. [PMID: 35817944 PMCID: PMC9587188 DOI: 10.1007/s13311-022-01270-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2022] [Indexed: 11/29/2022] Open
Abstract
Deep brain stimulation has been extensively studied as a therapeutic option for treatment-resistant depression (TRD). DBS across different targets is associated with on average 60% response rates in previously refractory chronically depressed patients. However, response rates vary greatly between patients and between studies and often require extensive trial-and-error optimizations of stimulation parameters. Emerging evidence from tractography imaging suggests that targeting combinations of white matter tracts, rather than specific grey matter regions, is necessary for meaningful antidepressant response to DBS. In this article, we review efficacy of various DBS targets for TRD, which networks are involved in their therapeutic effects, and how we can use this information to improve targeting and programing of DBS for individual patients. We will also highlight how to integrate these DBS network findings into developing adaptive stimulation and optimal trial designs.
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Affiliation(s)
- Martijn Figee
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Patricio Riva-Posse
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Georgia, GA, USA
| | - Ki Sueng Choi
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lucia Bederson
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Helen S Mayberg
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian H Kopell
- Nash Family Center for Advanced Circuit Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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