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Cash RFH, Zalesky A. Personalized and Circuit-Based Transcranial Magnetic Stimulation: Evidence, Controversies, and Opportunities. Biol Psychiatry 2024; 95:510-522. [PMID: 38040047 DOI: 10.1016/j.biopsych.2023.11.013] [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: 06/14/2023] [Revised: 11/13/2023] [Accepted: 11/18/2023] [Indexed: 12/03/2023]
Abstract
The development of neuroimaging methodologies to map brain connectivity has transformed our understanding of psychiatric disorders, the distributed effects of brain stimulation, and how transcranial magnetic stimulation can be best employed to target and ameliorate psychiatric symptoms. In parallel, neuroimaging research has revealed that higher-order brain regions such as the prefrontal cortex, which represent the most common therapeutic brain stimulation targets for psychiatric disorders, show some of the highest levels of interindividual variation in brain connectivity. These findings provide the rationale for personalized target site selection based on person-specific brain network architecture. Recent advances have made it possible to determine reproducible personalized targets with millimeter precision in clinically tractable acquisition times. These advances enable the potential advantages of spatially personalized transcranial magnetic stimulation targeting to be evaluated and translated to basic and clinical applications. In this review, we outline the motivation for target site personalization, preliminary support (mostly in depression), convergent evidence from other brain stimulation modalities, and generalizability beyond depression and the prefrontal cortex. We end by detailing methodological recommendations, controversies, and notable alternatives. Overall, while this research area appears highly promising, the value of personalized targeting remains unclear, and dedicated large prospective randomized clinical trials using validated methodology are critical.
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Affiliation(s)
- Robin F H Cash
- Melbourne Neuropsychiatry Centre and Department of Biomedical Engineering, University of Melbourne, Parkville, Victoria, Australia.
| | - Andrew Zalesky
- Melbourne Neuropsychiatry Centre and Department of Biomedical Engineering, University of Melbourne, Parkville, Victoria, Australia
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Sackeim HA, Aaronson ST, Carpenter LL, Hutton TM, Pages K, Lucas L, Chen B. When to hold and when to fold: Early prediction of nonresponse to transcranial magnetic stimulation in major depressive disorder. Brain Stimul 2024; 17:272-282. [PMID: 38458381 DOI: 10.1016/j.brs.2024.02.019] [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: 01/13/2024] [Revised: 02/21/2024] [Accepted: 02/28/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Determining when to recommend a change in treatment regimen due to insufficient improvement is a common challenge in therapeutics. METHODS In a sample of 7215 patients with major depressive disorder treated with transcranial magnetic stimulation (TMS) and with PHQ-9 scores before, during and after the course, 3 groups were identified based on number of acute course sessions: exactly 36 sessions (N = 3591), more than 36 sessions (N = 975), and less than 36 sessions (N = 2649). Two techniques were used to determine thresholds for percentage change in PHQ-9 scores at assessments after 10, 20, and 30 sessions that optimized prediction of endpoint response status: the Youden index and fixing the false positive rate at 10%. Positive and negative predictive values were calculated to assess the accuracy of identifying final nonresponders and responders, respectively. RESULTS There was greater accuracy in predicting final response than nonresponse, especially in the groups that had at least 36 sessions. Substantial proportions of patients with low levels of early improvement were classified as responders at the end of treatment. LIMITATIONS The findings should be validated with clinician ratings using a more comprehensive depression severity scale. CONCLUSIONS Manifesting clinical improvement early in the TMS course is strongly predictive of final status as a responder, while lack of early improvement is a relatively poor indicator of final nonresponse status. The predictive value of lack of early symptomatic improvement is too low to make reliable recommendations regarding changes in treatment regimen.
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Affiliation(s)
- Harold A Sackeim
- Department of Psychiatry, Columbia University, New York, NY, USA; Department of Radiology, Columbia University, New York, NY, USA.
| | - Scott T Aaronson
- Sheppard Pratt Health System, Baltimore, MD, USA; Department of Psychiatry, University of Maryland, Baltimore, MD, USA
| | - Linda L Carpenter
- Butler Hospital, Providence, RI, USA; Brown University Department of Psychiatry and Human Behavior, Providence, RI, USA
| | | | | | | | - Bing Chen
- NAMSA, St. Louis Park, Minneapolis, MN, USA
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van Rooij SJH, Arulpragasam AR, McDonald WM, Philip NS. Accelerated TMS - moving quickly into the future of depression treatment. Neuropsychopharmacology 2024; 49:128-137. [PMID: 37217771 PMCID: PMC10700378 DOI: 10.1038/s41386-023-01599-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/24/2023]
Abstract
Accelerated TMS is an emerging application of Transcranial Magnetic Stimulation (TMS) aimed to reduce treatment length and improve response time. Extant literature generally shows similar efficacy and safety profiles compared to the FDA-cleared protocols for TMS to treat major depressive disorder (MDD), yet accelerated TMS research remains at a very early stage in development. The few applied protocols have not been standardized and vary significantly across a set of core elements. In this review, we consider nine elements that include treatment parameters (i.e., frequency and inter-stimulation interval), cumulative exposure (i.e., number of treatment days, sessions per day, and pulses per session), individualized parameters (i.e., treatment target and dose), and brain state (i.e., context and concurrent treatments). Precisely which of these elements is critical and what parameters are most optimal for the treatment of MDD remains unclear. Other important considerations for accelerated TMS include durability of effect, safety profiles as doses increase over time, the possibility and advantage of individualized functional neuronavigation, use of biological readouts, and accessibility for patients most in need of the treatment. Overall, accelerated TMS appears to hold promise to reduce treatment time and achieve rapid reduction in depressive symptoms, but at this time significant work remains to be done. Rigorous clinical trials combining clinical outcomes and neuroscientific measures such as electroencephalogram, magnetic resonance imaging and e-field modeling are needed to define the future of accelerated TMS for MDD.
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Affiliation(s)
- Sanne J H van Rooij
- Emory University School of Medicine, Department of Psychiatry and Behavioral Sciences, Atlanta, GA, USA
| | - Amanda R Arulpragasam
- Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI, USA
- VA RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, RI, USA
| | - William M McDonald
- Emory University School of Medicine, Department of Psychiatry and Behavioral Sciences, Atlanta, GA, USA
| | - Noah S Philip
- Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI, USA.
- VA RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, RI, USA.
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Tan X, Goh SE, Lee JJ, Vanniasingham SD, Brunelin J, Lee J, Tor PC. Efficacy of Using Intermittent Theta Burst Stimulation to Treat Negative Symptoms in Patients with Schizophrenia-A Systematic Review and Meta-Analysis. Brain Sci 2023; 14:18. [PMID: 38248233 PMCID: PMC10813174 DOI: 10.3390/brainsci14010018] [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: 11/06/2023] [Revised: 12/09/2023] [Accepted: 12/16/2023] [Indexed: 01/23/2024] Open
Abstract
Negative symptoms in schizophrenia impose a significant burden with limited effective pharmacological treatment options. Recent trials have shown preliminary evidence for the efficacy of using intermittent theta burst stimulation (iTBS) in treating negative symptoms in schizophrenia. We aim to systematically review the current evidence of iTBS in the treatment of the negative symptoms of schizophrenia as an augmentation therapy. The study protocol was developed and registered on Prospero (registration ID: 323381). MEDLINE, EMBASE, Web of Science (Scopus), PsycINFO and Wan Fang databases were searched for sham-controlled, randomized trials of iTBS among patients with schizophrenia. The mean difference in major outcome assessments for negative symptoms was calculated. The quality of evidence was assessed using the Cochrane Risk of Bias Tool (version 1) and the GRADE system. Moreover, 12 studies including a total of 637 participants were included. Compared to sham treatment, the pooled analysis was in favor of iTBS treatment for negative symptoms (mean weight effect size: 0.59, p = 0.03) but not for positive symptoms (mean weight effect size: 0.01, p = 0.91) and depressive symptoms (mean weight effect size: 0.35, p = 0.16). A significant treatment effect was also observed on the iTBS target site left dorsal prefrontal cortex (mean weight effect size: 0.86, p = 0.007) and for stimulation with 80% motor threshold (mean weight effect size: 0.86, p = 0.02). Thus, our synthesized data support iTBS as a potential treatment for negative symptoms among patients with schizophrenia. However, the long-term efficacy and safety issues of iTBS in a larger population have yet to be examined.
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Affiliation(s)
- Xiaowei Tan
- Department of Mood and Anxiety, Institute of Mental Health, Singapore 539747, Singapore; (X.T.); (S.E.G.); (J.J.L.)
| | - Shih Ee Goh
- Department of Mood and Anxiety, Institute of Mental Health, Singapore 539747, Singapore; (X.T.); (S.E.G.); (J.J.L.)
| | - Jonathan Jie Lee
- Department of Mood and Anxiety, Institute of Mental Health, Singapore 539747, Singapore; (X.T.); (S.E.G.); (J.J.L.)
| | | | - Jérôme Brunelin
- PSYR2 Team, Lyon Neuroscience Research Center, University Lyon 1, INSERM U1028, CNRS UMR5292, 69000 Lyon, France;
- Centre Hospitalier Le Vinatier, 69500 Bron, France
| | - Jimmy Lee
- Department of Psychosis, Institute of Mental Health, Singapore 539747, Singapore;
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore
| | - Phern Chern Tor
- Department of Mood and Anxiety, Institute of Mental Health, Singapore 539747, Singapore; (X.T.); (S.E.G.); (J.J.L.)
- Department of Psychiatric Medicine, Duke-NUS Graduate Medical School, Singapore 169857, Singapore
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Citrenbaum C, Corlier J, Ngo D, Vince-Cruz N, Wilson A, Wilke SA, Krantz D, Tadayonnejad R, Ginder N, Levitt J, Lee JH, Leuchter MK, Strouse TB, Corse A, Vyas P, Leuchter AF. Pretreatment pupillary reactivity is associated with differential early response to 10 Hz and intermittent theta-burst repetitive transcranial magnetic stimulation (rTMS) treatment of major depressive disorder (MDD). Brain Stimul 2023; 16:1566-1571. [PMID: 37863389 DOI: 10.1016/j.brs.2023.10.006] [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: 08/10/2023] [Revised: 10/04/2023] [Accepted: 10/08/2023] [Indexed: 10/22/2023] Open
Abstract
BACKGROUND Repetitive Transcranial Magnetic Stimulation (rTMS) is an effective treatment for Major Depressive Disorder (MDD). Two common rTMS protocols, 10 Hz and intermittent theta burst stimulation (iTBS), have comparable rates of efficacy in groups of patients. Recent evidence suggests that some individuals may be more likely to benefit from one form of stimulation than the other. The pretreatment pupillary light reflex (PLR) is significantly associated with response to a full course of rTMS using heterogeneous stimulation protocols. OBJECTIVE To test whether the relationship between pretreatment PLR and early symptom improvement differed between subjects treated with iTBS or 10 Hz stimulation. METHODS PLR was measured in 52 subjects who received solely 10 Hz (n = 35) or iTBS (n = 17) to left dorsolateral prefrontal cortex (DLPFC) for the first ten sessions of their treatment course. Primary outcome measure was the percent change of Inventory of Depressive Symptomatology - Self Report (IDS-SR) from session 1 to session 10. RESULTS There was a positive association between normalized maximum constriction velocity (nMCV) and early improvement in subjects receiving 10 Hz stimulation (R = 0.48, p = 0.004) and a negative association in subjects receiving iTBS (R = -0.52, p = 0.03). ANOVA revealed a significant interaction between nMCV and the type of initial stimulation (p = 0.001). Among subjects with low nMCV, those initially treated with iTBS showed 2.6 times greater improvement after 10 sessions (p = 0.01) than subjects initially receiving 10 Hz stimulation. CONCLUSION nMCV may detect physiologic differences between those likely to benefit from 10 Hz or iTBS treatment. Future studies should examine whether PLR could guide prospective treatment selection.
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Affiliation(s)
- Cole Citrenbaum
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Juliana Corlier
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Doan Ngo
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Nikita Vince-Cruz
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Andrew Wilson
- Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA; NOAA National Centers for Environmental Information (NCEI), Boulder, CO, USA
| | - Scott A Wilke
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - David Krantz
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Reza Tadayonnejad
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA; Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA
| | - Nathaniel Ginder
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Jennifer Levitt
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - John H Lee
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Michael K Leuchter
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Thomas B Strouse
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Andrew Corse
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA
| | - Pooja Vyas
- Department of Psychiatry, University of California San Diego, San Diego, CA, USA
| | - Andrew F Leuchter
- TMS Clinical and Research Program, Neuromodulation Division, Semel Institute for Neuroscience and Human Behavior at UCLA, Los Angeles, CA, USA; Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90024, USA.
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Dijkstra E, van Dijk H, Vila-Rodriguez F, Zwienenberg L, Rouwhorst R, Coetzee JP, Blumberger DM, Downar J, Williams N, Sack AT, Arns M. Transcranial Magnetic Stimulation-Induced Heart-Brain Coupling: Implications for Site Selection and Frontal Thresholding-Preliminary Findings. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:939-947. [PMID: 37881544 PMCID: PMC10593873 DOI: 10.1016/j.bpsgos.2023.01.003] [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: 08/01/2022] [Revised: 12/21/2022] [Accepted: 01/06/2023] [Indexed: 01/26/2023] Open
Abstract
Background Neurocardiac-guided transcranial magnetic stimulation (TMS) uses repetitive TMS (rTMS)-induced heart rate deceleration to confirm activation of the frontal-vagal pathway. Here, we test a novel neurocardiac-guided TMS method that utilizes heart-brain coupling (HBC) to quantify rTMS-induced entrainment of the interbeat interval as a function of TMS cycle time. Because prior neurocardiac-guided TMS studies indicated no association between motor and frontal excitability threshold, we also introduce the approach of using HBC to establish individualized frontal excitability thresholds for optimally dosing frontal TMS. Methods In studies 1A and 1B, we validated intermittent theta burst stimulation (iTBS)-induced HBC (2 seconds iTBS on; 8 seconds off: HBC = 0.1 Hz) in 15 (1A) and 22 (1B) patients with major depressive disorder from 2 double-blind placebo-controlled studies. In study 2, HBC was measured in 10 healthy subjects during the 10-Hz "Dash" protocol (5 seconds 10-Hz on; 11 seconds off: HBC = 0.0625 Hz) applied with 15 increasing intensities to 4 evidence-based TMS locations. Results Using blinded electrocardiogram-based HBC analysis, we successfully identified sham from real iTBS sessions (accuracy: study 1A = 83%, study 1B = 89.5%) and found a significantly stronger HBC at 0.1 Hz in active compared with sham iTBS (d = 1.37) (study 1A). In study 2, clear dose-dependent entrainment (p = .002) was observed at 0.0625 Hz in a site-specific manner. Conclusions We demonstrated rTMS-induced HBC as a function of TMS cycle time for 2 commonly used clinical protocols (iTBS and 10-Hz Dash). These preliminary results supported individual site specificity and dose-response effects, indicating that this is a potentially valuable method for clinical rTMS site stratification and frontal thresholding. Further research should control for TMS side effects, such as pain of stimulation, to confirm these findings.
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Affiliation(s)
- Eva Dijkstra
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Neurowave, Amsterdam, the Netherlands
| | - Hanneke van Dijk
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Fidel Vila-Rodriguez
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lauren Zwienenberg
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Synaeda Psycho Medisch Centrum, Leeuwarden, the Netherlands
| | - Renée Rouwhorst
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands
- Neurocare group Netherlands, The Hague, the Netherlands
| | - John P. Coetzee
- Department Of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California
| | - Daniel M. Blumberger
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Temerty Centre for Therapeutic Brain Intervention, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Jonathan Downar
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Nolan Williams
- Department Of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California
| | - Alexander T. Sack
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Martijn Arns
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
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Cho JY, Van Hoornweder S, Sege CT, Antonucci MU, McTeague LM, Caulfield KA. Template MRI scans reliably approximate individual and group-level tES and TMS electric fields induced in motor and prefrontal circuits. Front Neural Circuits 2023; 17:1214959. [PMID: 37736398 PMCID: PMC10510202 DOI: 10.3389/fncir.2023.1214959] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 08/09/2023] [Indexed: 09/23/2023] Open
Abstract
Background Electric field (E-field) modeling is a valuable method of elucidating the cortical target engagement from transcranial magnetic stimulation (TMS) and transcranial electrical stimulation (tES), but it is typically dependent on individual MRI scans. In this study, we systematically tested whether E-field models in template MNI-152 and Ernie scans can reliably approximate group-level E-fields induced in N = 195 individuals across 5 diagnoses (healthy, alcohol use disorder, tobacco use disorder, anxiety, depression). Methods We computed 788 E-field models using the CHARM-SimNIBS 4.0.0 pipeline with 4 E-field models per participant (motor and prefrontal targets for TMS and tES). We additionally calculated permutation analyses to determine the point of stability of E-fields to assess whether the 152 brains represented in the MNI-152 template is sufficient. Results Group-level E-fields did not significantly differ between the individual vs. MNI-152 template and Ernie scans for any stimulation modality or location (p > 0.05). However, TMS-induced E-field magnitudes significantly varied by diagnosis; individuals with generalized anxiety had significantly higher prefrontal and motor E-field magnitudes than healthy controls and those with alcohol use disorder and depression (p < 0.001). The point of stability for group-level E-field magnitudes ranged from 42 (motor tES) to 52 participants (prefrontal TMS). Conclusion MNI-152 and Ernie models reliably estimate group-average TMS and tES-induced E-fields transdiagnostically. The MNI-152 template includes sufficient scans to control for interindividual anatomical differences (i.e., above the point of stability). Taken together, using the MNI-152 and Ernie brains to approximate group-level E-fields is a valid and reliable approach.
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Affiliation(s)
- Jennifer Y. Cho
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
| | - Sybren Van Hoornweder
- Faculty of Rehabilitation Sciences, REVAL–Rehabilitation Research Center, Hasselt University, Diepenbeek, Belgium
| | - Christopher T. Sege
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
| | - Michael U. Antonucci
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, United States
| | - Lisa M. McTeague
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
- Ralph H. Johnson VA Medical Center, Charleston, SC, United States
| | - Kevin A. Caulfield
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, United States
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
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Hutton TM, Aaronson ST, Carpenter LL, Pages K, Krantz D, Lucas L, Chen B, Sackeim HA. Dosing transcranial magnetic stimulation in major depressive disorder: Relations between number of treatment sessions and effectiveness in a large patient registry. Brain Stimul 2023; 16:1510-1521. [PMID: 37827360 DOI: 10.1016/j.brs.2023.10.001] [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: 08/07/2023] [Revised: 09/19/2023] [Accepted: 10/01/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND The number of sessions in an acute TMS course for major depressive disorder (MDD) is greater than in the earlier randomized controlled trials. OBJECTIVE To compare clinical outcomes in groups that received differing numbers of TMS sessions. METHODS From a registry sample (N = 13,732), data were extracted for 7215 patients treated for MDD with PHQ-9 assessments before and after their TMS course. Groups were defined by number of acute course treatment sessions: 1-19 (N = 658), 20-29 (N = 616), 30-35 (N = 1375), 36 (N = 3591), 37-41 (N = 626), or >41 (N = 349) and compared in clinical outcomes at endpoint and at fixed intervals (after 10, 20, 30, and 36 sessions). The impact of additional treatments beyond 36 sessions was also examined. RESULTS Groups that received fewer than 30 sessions had inferior endpoint outcomes than all other groups. PHQ-9 symptom reduction was greatest in the group that ended treatment at 36 sessions. The extended treatment groups (>36 sessions) differed from all other groups by manifesting less antidepressant response early in the course and had a slower but steady rate of improvement over time. Extending treatment beyond 36 sessions was associated with further improvement without evidence of a plateau. CONCLUSIONS In real-world practice, there are strong relations between the number of TMS sessions in a course and the magnitude of symptom reduction. Courses with less than 30 sessions are associated with diminished benefit. Patients with longer than standard courses typically show less initial improvement and a more gradual trajectory, but meaningful benefit accrues with treatment beyond 36 sessions.
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Affiliation(s)
| | - Scott T Aaronson
- Sheppard Pratt Health System, Baltimore, MD, USA; Department of Psychiatry, University of Maryland, Baltimore, MD, USA
| | - Linda L Carpenter
- Butler Hospital, Providence, RI, USA; Brown University Department of Psychiatry and Human Behavior, Providence, RI, USA
| | | | | | | | | | - Harold A Sackeim
- Department of Psychiatry, Columbia University, NY, USA; Department of Radiology, Columbia University, NY, USA.
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Yu T, Chen W, Huo L, Luo X, Wang J, Zhang B. Association between daily dose and efficacy of rTMS over the left dorsolateral prefrontal cortex in depression: A meta-analysis. Psychiatry Res 2023; 325:115260. [PMID: 37229909 DOI: 10.1016/j.psychres.2023.115260] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/17/2023] [Accepted: 05/19/2023] [Indexed: 05/27/2023]
Abstract
Repetitive transcranial magnetic stimulation (rTMS) is a well-established, safe, and effective brain stimulation technique for depression; however, uniform parameters have not been used in clinical practice. The aim of this study was to identify the parameters that affect rTMS effectiveness and ascertain the range in which that parameter has optimal efficacy. A meta-analysis of sham-controlled trials using rTMS delivered over the left dorsolateral prefrontal cortex (DLPFC) in depression was conducted. In the meta-regression and subgroup analyses, all rTMS stimulation parameters were extracted and their association with efficacy was investigated. Of the 17,800 references, 52 sham-controlled trials were included. Compared to sham controls, our results demonstrated a significant improvement in depressive symptoms at the end of treatment. According to the results of meta-regression, the number of pulses and sessions per day correlated with rTMS efficacy; however, the positioning method, stimulation intensity, frequency, number of treatment days, and total pulses did not. Furthermore, subgroup analysis revealed that the efficacy was correspondingly better in the group with higher daily pulses. In clinical practice, increasing the number of daily pulses and sessions may improve the effectiveness of rTMS.
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Affiliation(s)
- Tong Yu
- Department of Psychiatry, Guangzhou Medical University, Guangzhou, PR. China; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, PR. China
| | - Wangni Chen
- Department of Psychiatry, Guangzhou Medical University, Guangzhou, PR. China; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, PR. China
| | - Lijuan Huo
- Department of Psychiatry, Guangzhou Medical University, Guangzhou, PR. China; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, PR. China
| | - Xin Luo
- Department of Psychiatry, Guangzhou Medical University, Guangzhou, PR. China; The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, PR. China
| | - Jijun Wang
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR. China
| | - Bin Zhang
- Tianjin Anding Hospital, Tianjin Medical University, Tianjin, PR. China.
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Pantazatos SP, Mclntosh JR, Saber GT, Sun X, Doose J, Faller J, Lin Y, Teves JB, Blankenship A, Huffman S, Goldman RI, George MS, Sajda P, Brown TR. The timing of transcranial magnetic stimulation relative to the phase of prefrontal alpha EEG modulates downstream target engagement. Brain Stimul 2023; 16:830-839. [PMID: 37187457 DOI: 10.1016/j.brs.2023.05.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 04/26/2023] [Accepted: 05/08/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND The communication through coherence model posits that brain rhythms are synchronized across different frequency bands and that effective connectivity strength between interacting regions depends on their phase relation. Evidence to support the model comes mostly from electrophysiological recordings in animals while evidence from human data is limited. METHODS Here, an fMRI-EEG-TMS (fET) instrument capable of acquiring simultaneous fMRI and EEG during noninvasive single pulse TMS applied to dorsolateral prefrontal cortex (DLPFC) was used to test whether prefrontal EEG alpha phase moderates TMS-evoked top-down influences on subgenual, rostral and dorsal anterior cingulate cortex (ACC). Six runs (276 total trials) were acquired in each participant. Phase at each TMS pulse was determined post-hoc using single-trial sorting. Results were examined in two independent datasets: healthy volunteers (HV) (n = 11) and patients with major depressive disorder (MDD) (n = 17) collected as part of an ongoing clinical trial. RESULTS In both groups, TMS-evoked functional connectivity between DLPFC and subgenual ACC (sgACC) depended on the EEG alpha phase. TMS-evoked DLPFC to sgACC fMRI-derived effective connectivity (EC) was modulated by EEG alpha phase in healthy volunteers, but not in the MDD patients. Top-down EC was inhibitory for TMS pulses during the upward slope of the alpha wave relative to TMS timed to the downward slope of the alpha wave. Prefrontal EEG alpha phase dependent effects on TMS-evoked fMRI BOLD activation of the rostral anterior cingulate cortex were detected in the MDD patient group, but not in the healthy volunteer group. DISCUSSION Results demonstrate that TMS-evoked top-down influences vary as a function of the prefrontal alpha rhythm, and suggest potential clinical applications whereby TMS is synchronized to the brain's internal rhythms in order to more efficiently engage deep therapeutic targets.
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Affiliation(s)
- Spiro P Pantazatos
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, 10027, USA
| | - James R Mclntosh
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA; Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY, 10032, USA
| | - Golbarg T Saber
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, 29425, USA; Department of Neurology, University of Chicago, Chicago, IL, 60637, USA
| | - Xiaoxiao Sun
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | - Jayce Doose
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Josef Faller
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA
| | - Yida Lin
- Department of Computer Science, Columbia University, New York, NY, 10027, USA
| | - Joshua B Teves
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Aidan Blankenship
- Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Sarah Huffman
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA
| | - Robin I Goldman
- Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Mark S George
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, 29425, USA; Ralph H. Johnson VA Medical Center, Charleston, SC, 29401, USA
| | - Paul Sajda
- Department of Biomedical Engineering, Columbia University, New York, NY, 10027, USA; Department of Radiology, Columbia University Irving Medical Center, New York, NY, 10032, USA; Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA; Data Science Institute, Columbia University, New York, NY, 10027, USA.
| | - Truman R Brown
- Center for Biomedical Imaging, Medical University of South Carolina, Charleston, SC, 29425, USA; Department of Computer Science, Columbia University, New York, NY, 10027, USA.
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11
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Olsson SE, Singh H, Kerr MS, Podlesh Z, Chung J, Tjan A. The role of transcranial magnetic stimulation in treating depression after traumatic brain injury. Brain Stimul 2023; 16:456-457. [PMID: 36773778 DOI: 10.1016/j.brs.2023.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Affiliation(s)
- Sofia Eva Olsson
- Texas Christian University, School of Medicine, 2800 South University Dr, Fort Worth, TX, 76129, USA.
| | - Harpreet Singh
- Mind and Body Pain Clinic, 6010 Hellyer Ave., Ste. 150, San Jose, CA, 95138, USA
| | - Marcel Satsky Kerr
- University of North Texas Health Science Center, School of Biomedical Sciences, 3500 Camp Bowie Blvd. Fort Worth, TX, 76107, USA
| | - Zachary Podlesh
- Colorado State University, Department of Biology, 1878 Campus Dr., Fort Collins, CO, 80523, USA
| | - Jacline Chung
- Mind and Body Pain Clinic, 6010 Hellyer Ave., Ste. 150, San Jose, CA, 95138, USA
| | - Amanda Tjan
- Mind and Body Pain Clinic, 6010 Hellyer Ave., Ste. 150, San Jose, CA, 95138, USA
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12
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Neurostimulation as a treatment for mood disorders in patients: recent findings. Curr Opin Psychiatry 2023; 36:14-19. [PMID: 36449728 DOI: 10.1097/yco.0000000000000835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
PURPOSE OF REVIEW The use of neurostimulation to treat mood disorders dates back to the 1930s. Recent studies have explored various neurostimulation methods aimed at both restoring a healthy brain and reducing adverse effects in patients. The purpose of this review is to explore the most recent hypotheses and clinical studies investigating the effects of stimulating the brain on mood disorders. RECENT FINDINGS Recent work on brain stimulation and mood disorders has focused mainly on three aspects: enhancing efficacy and safety by developing new approaches and protocols, reducing treatment duration and chances of relapse, and investigating the physiological and pathological mechanisms behind treatment outcomes and possible adverse effects.This review includes some of the latest studies on both noninvasive techniques, such as transcranial magnetic stimulation, magnetic seizure therapy, transcranial direct current stimulation, transcranial alternating current stimulation, electroconvulsive treatment, and invasive techniques, such as deep brain stimulation and vagus nerve stimulation. SUMMARY Brain stimulation is widely used in clinical settings; however, there is a lack of understanding about its neurobiological mechanism. Further studies are needed to understand the neurobiology of brain stimulation and how it can be used to treat mood disorders in their diversity, including comorbidities with other illnesses.
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13
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Rouwhorst R, van Oostrom I, Dijkstra E, Zwienenberg L, van Dijk H, Arns M. Vasovagal syncope as a specific side effect of DLPFC-rTMS: A frontal-vagal dose-finding study. Brain Stimul 2022; 15:1233-1235. [PMID: 36058523 DOI: 10.1016/j.brs.2022.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/17/2022] [Accepted: 08/23/2022] [Indexed: 11/29/2022] Open
Affiliation(s)
- Renée Rouwhorst
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands; Neurocare Clinics, Amsterdam/Den Haag/Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands.
| | | | - Eva Dijkstra
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands; Neurowave, Amsterdam, the Netherlands
| | - Lauren Zwienenberg
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands; Synaeda Psycho Medisch Centrum, Leeuwarden, the Netherlands
| | - Hanneke van Dijk
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Martijn Arns
- Heart & Brain Group, Brainclinics Foundation, Nijmegen, the Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, the Netherlands
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14
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Spitz NA, Pace BD, Ten Eyck P, Trapp NT. Early Improvement Predicts Clinical Outcomes Similarly in 10 Hz rTMS and iTBS Therapy for Depression. Front Psychiatry 2022; 13:863225. [PMID: 35633811 PMCID: PMC9130587 DOI: 10.3389/fpsyt.2022.863225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/15/2022] [Indexed: 11/13/2022] Open
Abstract
Background Prior studies have demonstrated that early treatment response with transcranial magnetic stimulation (TMS) can predict overall response, yet none have directly compared that predictive capacity between intermittent theta-burst stimulation (iTBS) and 10 Hz repetitive transcranial magnetic stimulation (rTMS) for depression. Our study sought to test the hypothesis that early clinical improvement could predict ultimate treatment response in both iTBS and 10 Hz rTMS patient groups and that there would not be significant differences between the modalities. Methods We retrospectively evaluated response to treatment in 105 participants with depression that received 10 Hz rTMS (n = 68) and iTBS (n = 37) to the dorsolateral prefrontal cortex (DLPFC). Percent changes from baseline to treatment 10 (t10), and to final treatment (tf), were used to calculate confusion matrices including negative predictive value (NPV). Treatment non-response was defined as <50% reduction in PHQ-9 scores according to literature, and population, data-driven non-response was defined as <40% for 10 Hz and <45% for iTBS. Results For both modalities, the NPV related to degree of improvement at t10. NPV for 10 Hz was 80%, 63% and 46% at t10 in those who failed to improve >20, >10, and >0% respectively; while iTBS NPV rates were 65, 50, and 35%. There were not significant differences between protocols at any t10 cut-off assessed, whether research defined 50% improvement as response or data driven kernel density estimates (p = 0.22-0.44). Conclusion Patients who fail to achieve >20% improvement by t10 with both 10 Hz rTMS and iTBS therapies have ~70% chance of non-response to treatment. With no significant differences between predictive capacities, identifying patients at-risk for non-response affords psychiatrists greater opportunity to adapt treatment strategies.
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Affiliation(s)
- Nathen A. Spitz
- Department of Psychiatry, University of Iowa, Iowa City, IA, United States
| | - Benjamin D. Pace
- Department of Psychiatry, University of Iowa, Iowa City, IA, United States
| | - Patrick Ten Eyck
- Institute for Clinical and Translational Science, University of Iowa, Iowa City, IA, United States
| | - Nicholas T. Trapp
- Department of Psychiatry, University of Iowa, Iowa City, IA, United States
- Iowa Neuroscience Institute, University of Iowa, Iowa City, IA, United States
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15
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Corticomotor plasticity as a predictor of response to high frequency transcranial magnetic stimulation treatment for major depressive disorder. J Affect Disord 2022; 303:114-122. [PMID: 35139416 DOI: 10.1016/j.jad.2022.02.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 12/22/2021] [Accepted: 02/04/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Many patients with treatment-resistant depression (TRD) respond to repetitive transcranial magnetic stimulation (rTMS) treatment. This study aimed to investigate whether modulation of corticomotor excitability by rTMS predicts response to rTMS treatment for TRD in 10 Hz and intermittent theta-burst stimulation (iTBS) protocols. METHODS Thirteen TRD patients underwent two evaluations of corticomotor plasticity-assessed as the post-rTMS (10 Hz, iTBS) percent change (%∆) in motor evoked potential (MEP) amplitude elicited by single-pulse TMS. Following corticomotor plasticity evaluations, patients subsequently underwent a standard 6-week course of 10 Hz rTMS (4 s train, 26 s inter-train interval, 3000 total pulses, 120% of motor threshold) to the left dorsolateral prefrontal cortex. Treatment efficacy was assessed by the Beck Depression Inventory II (BDI-II) and Hamilton Depression Rating Scale (HAM-D). The change in MEPs was compared between 10 Hz and iTBS conditions and related to the change in BDI-II and HAM-D scores. RESULTS Analyses of variance revealed that across all time-points, higher post-10 Hz MEP change was a significant predictor of greater improvement on the BDI-II (p < 0.001) and HAM-D (p = 0.022). This relationship was not observed with iTBS (p-values≥0.100). Post-hoc tests revealed the MEP change 20 min post-10 Hz was the strongest predictor of BDI-II improvement. LIMITATIONS Cortical excitability was measured from the motor cortex, rather than the dorsolateral prefrontal cortex, where treatment is applied. The 10 Hz and iTBS protocols were performed at different intensities consistent with common practice. CONCLUSIONS Modulation of corticomotor excitability by 10 Hz can predict response to rTMS treatment with 10 Hz rTMS.
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16
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Spitz NA, Ten Eyck P, Nizar K, Boes AD, Trapp NT. Similar Outcomes in Treating Major Depressive Disorder With 10 Hz Repetitive Transcranial Magnetic Stimulation (rTMS) Versus Intermittent Theta Burst Stimulation (iTBS): A Naturalistic Observational Study. J Psychiatr Pract 2022; 28:98-107. [PMID: 35238821 PMCID: PMC9159081 DOI: 10.1097/pra.0000000000000611] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Results reported in the existing literature have shown intermittent theta burst stimulation (iTBS) to be noninferior to 10 Hz repetitive transcranial magnetic stimulation (rTMS) in treating major depressive disorder (MDD) when targeted at the left dorsolateral prefrontal cortex. The goal of this naturalistic observational study was to further explore potential differences between these 2 treatment modalities in treating depression in a real-world cohort. METHODS The participants were 105 patients, 18 years of age or older with a diagnosis of MDD who received standard clinical 10 Hz rTMS or iTBS treatment between 2016 and 2020. Clinical outcomes of depression treatment were assessed on the basis of changes in scores on the Patient Health Questionnaire-9 and on the Montgomery-Asberg Depression Rating Scale. RESULTS Reduction in depression symptoms was measured with the Patient Health Questionnaire-9 and Montgomery-Asberg Depression Rating Scale from baseline to end of treatment, and no discernible differences in percent change, response, remission, or minimum clinically important difference were found between the 10 Hz rTMS and iTBS treatment groups. CONCLUSIONS Findings in an observational, real-world clinical sample showed no significant differences in outcomes between 10 Hz rTMS and iTBS targeted at the left dorsolateral prefrontal cortex in the treatment of MDD. Because of the shorter treatment time involved, the choice of iTBS may reduce hospital exposure and increase savings and the treatment capacity of clinics without sacrificing effectiveness.
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17
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Madore MR, Kozel FA, Williams LM, Green LC, George MS, Holtzheimer PE, Yesavage JA, Philip NS. Prefrontal transcranial magnetic stimulation for depression in US military veterans - A naturalistic cohort study in the veterans health administration. J Affect Disord 2022; 297:671-678. [PMID: 34687780 PMCID: PMC8667345 DOI: 10.1016/j.jad.2021.10.025] [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: 09/09/2021] [Revised: 10/15/2021] [Accepted: 10/18/2021] [Indexed: 01/17/2023]
Abstract
BACKGROUND Repetitive transcranial magnetic stimulation (TMS) is an evidence-based treatment for pharmacoresistant major depressive disorder (MDD), however, the evidence in veterans has been mixed. To this end, VA implemented a nationwide TMS program that included evaluating clinical outcomes within a naturalistic design. TMS was hypothesized to be safe and provide clinically meaningful reductions in MDD and posttraumatic stress disorder (PTSD) symptoms. METHODS Inclusion criteria were MDD diagnosis and standard clinical TMS eligibility. Of the 770 patients enrolled between October 2017 and March 2020, 68.4% (n = 521) met threshold-level PTSD symptom criteria. Treatments generally used standard parameters (e.g., left dorsolateral prefrontal cortex, 120% motor threshold, 10 Hz, 3000 pulses/treatment). Adequate dose was operationally defined as 30 sessions. MDD and PTSD symptoms were measured using the 9-item patient health questionnaire (PHQ-9) and PTSD checklist for DSM-5 (PCL-5), respectively. RESULTS Of the 770 who received at least one session, TMS was associated with clinically meaningful (Cohen's d>1.0) and statistically significant (all p<.001) reductions in MDD and PTSD. Of the 340 veterans who received an adequate dose, MDD response and remission rates were 41.4% and 20%, respectively. In veterans with comorbid PTSD, 65.3% demonstrated clinically meaningful reduction and 46.1% no longer met PTSD threshold criteria after TMS. Side effects were consistent with the known safety profile of TMS. LIMITATIONS Include those inherent to retrospective observational cohort study in Veterans. CONCLUSIONS These multisite, large-scale data supports the effectiveness and safety of TMS for veterans with MDD and PTSD using standard clinical approaches.
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Affiliation(s)
- Michelle R Madore
- Mental Illness Research, Education, and Clinical Center, VA Palo Alto Healthcare System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA
| | - F Andrew Kozel
- Department of Behavioral Sciences and Social Medicine, Florida State University, Tallahassee, FL, USA; Mental Health and Behavioral Sciences, James A. Haley Veterans’ Administration Hospital and Clinics, Tampa, FL, USA; Department of Psychiatry and Behavioral Neurosciences, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Leanne M Williams
- Mental Illness Research, Education, and Clinical Center, VA Palo Alto Healthcare System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA
| | - L Chauncey Green
- Mental Illness Research, Education, and Clinical Center, VA Palo Alto Healthcare System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA
| | - Mark S George
- Ralph H. Johnson VA Medical Center, Charleston, SC, USA; Brain Stimulation Laboratory, Department of Psychiatry, Medical University of South Carolina, Charleston, SC, USA
| | - Paul E Holtzheimer
- National Center for PTSD, White River Junction, VT, United States; Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Jerome A Yesavage
- Mental Illness Research, Education, and Clinical Center, VA Palo Alto Healthcare System, Palo Alto, CA, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, CA, USA
| | - Noah S Philip
- VA RR&D Center for Neurorestoration and Neurotechnology, Providence VA Healthcare System, Providence, RI, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
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18
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Aaronson ST, Carpenter LL, Hutton TM, Kraus S, Mina M, Pages K, Shi L, West WS, Sackeim HA. Comparison of clinical outcomes with left unilateral and sequential bilateral Transcranial Magnetic Stimulation (TMS) treatment of major depressive disorder in a large patient registry. Brain Stimul 2022; 15:326-336. [DOI: 10.1016/j.brs.2022.01.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 01/04/2022] [Accepted: 01/10/2022] [Indexed: 11/16/2022] Open
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19
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Padula CB, Tenekedjieva LT, McCalley DM, Al-Dasouqi H, Hanlon CA, Williams LM, Kozel FA, Knutson B, Durazzo TC, Yesavage JA, Madore MR. Targeting the Salience Network: A Mini-Review on a Novel Neuromodulation Approach for Treating Alcohol Use Disorder. Front Psychiatry 2022; 13:893833. [PMID: 35656355 PMCID: PMC9152026 DOI: 10.3389/fpsyt.2022.893833] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 04/11/2022] [Indexed: 11/24/2022] Open
Abstract
Alcohol use disorder (AUD) continues to be challenging to treat despite the best available interventions, with two-thirds of individuals going on to relapse by 1 year after treatment. Recent advances in the brain-based conceptual framework of addiction have allowed the field to pivot into a neuromodulation approach to intervention for these devastative disorders. Small trials of repetitive transcranial magnetic stimulation (rTMS) have used protocols developed for other psychiatric conditions and applied them to those with addiction with modest efficacy. Recent evidence suggests that a TMS approach focused on modulating the salience network (SN), a circuit at the crossroads of large-scale networks associated with AUD, may be a fruitful therapeutic strategy. The anterior insula or dorsal anterior cingulate cortex may be particularly effective stimulation sites given emerging evidence of their roles in processes associated with relapse.
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Affiliation(s)
- Claudia B Padula
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Lea-Tereza Tenekedjieva
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Daniel M McCalley
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, United States.,Department of Neurosciences, Medical University of South Carolina, Charleston, SC, United States
| | - Hanaa Al-Dasouqi
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States
| | - Colleen A Hanlon
- Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, United States
| | - Leanne M Williams
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - F Andrew Kozel
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Florida State University, Tallahassee, FL, United States
| | - Brian Knutson
- Department of Psychology, Stanford University, Stanford, CA, United States
| | - Timothy C Durazzo
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Jerome A Yesavage
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Michelle R Madore
- Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.,Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
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20
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Marder KG, Barbour T, Ferber S, Idowu O, Itzkoff A. Psychiatric Applications of Repetitive Transcranial Magnetic Stimulation. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2022; 20:8-18. [PMID: 35746935 PMCID: PMC9063593 DOI: 10.1176/appi.focus.20210021] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Transcranial magnetic stimulation (TMS) is an increasingly popular noninvasive brain stimulation modality. In TMS, a pulsed magnetic field is used to noninvasively stimulate a targeted brain region. Repeated stimulation produces lasting changes in brain activity via mechanisms of synaptic plasticity similar to long-term potentiation. Local application of TMS alters activity in distant, functionally connected brain regions, indicating that TMS modulates activity of cortical networks. TMS has been approved by the U.S. Food and Drug Administration for the treatment of major depressive disorder, obsessive-compulsive disorder, and smoking cessation, and a growing evidence base supports its efficacy in the treatment of other neuropsychiatric conditions. TMS is rapidly becoming part of the standard of care for treatment-resistant depression, where it yields response rates of 40%-60%. TMS is generally safe and well tolerated; its most serious risk is seizure, which occurs very rarely. This review aims to familiarize practicing psychiatrists with basic principles of TMS, including target localization, commonly used treatment protocols and their outcomes, and safety and tolerability. Practical considerations, including evaluation and monitoring of patients undergoing TMS, device selection, treatment setting, and insurance reimbursement, are also reviewed.
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21
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Caulfield KA, Brown JC. The Problem and Potential of TMS' Infinite Parameter Space: A Targeted Review and Road Map Forward. Front Psychiatry 2022; 13:867091. [PMID: 35619619 PMCID: PMC9127062 DOI: 10.3389/fpsyt.2022.867091] [Citation(s) in RCA: 12] [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: 01/31/2022] [Accepted: 04/21/2022] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive, effective, and FDA-approved brain stimulation method. However, rTMS parameter selection remains largely unexplored, with great potential for optimization. In this review, we highlight key studies underlying next generation rTMS therapies, particularly focusing on: (1) rTMS Parameters, (2) rTMS Target Engagement, (3) rTMS Interactions with Endogenous Brain Activity, and (4) Heritable Predisposition to Brain Stimulation Treatments. METHODS We performed a targeted review of pre-clinical and clinical rTMS studies. RESULTS Current evidence suggests that rTMS pattern, intensity, frequency, train duration, intertrain interval, intersession interval, pulse and session number, pulse width, and pulse shape can alter motor excitability, long term potentiation (LTP)-like facilitation, and clinical antidepressant response. Additionally, an emerging theme is how endogenous brain state impacts rTMS response. Researchers have used resting state functional magnetic resonance imaging (rsfMRI) analyses to identify personalized rTMS targets. Electroencephalography (EEG) may measure endogenous alpha rhythms that preferentially respond to personalized stimulation frequencies, or in closed-loop EEG, may be synchronized with endogenous oscillations and even phase to optimize response. Lastly, neuroimaging and genotyping have identified individual predispositions that may underlie rTMS efficacy. CONCLUSIONS We envision next generation rTMS will be delivered using optimized stimulation parameters to rsfMRI-determined targets at intensities determined by energy delivered to the cortex, and frequency personalized and synchronized to endogenous alpha-rhythms. Further research is needed to define the dose-response curve of each parameter on plasticity and clinical response at the group level, to determine how these parameters interact, and to ultimately personalize these parameters.
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Affiliation(s)
- Kevin A Caulfield
- Department of Psychiatry, Medical University of South Carolina, Charleston, SC, United States
| | - Joshua C Brown
- Departments of Psychiatry and Neurology, Brown University Medical School, Providence, RI, United States
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22
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Chen L, Thomas EHX, Kaewpijit P, Miljevic A, Hughes R, Hahn L, Kato Y, Gill S, Clarke P, Ng F, Paterson T, Giam A, Sarma S, Hoy KE, Galletly C, Fitzgerald PB. Accelerated theta burst stimulation for the treatment of depression: A randomised controlled trial. Brain Stimul 2021; 14:1095-1105. [PMID: 34332155 DOI: 10.1016/j.brs.2021.07.018] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/24/2021] [Accepted: 07/26/2021] [Indexed: 12/28/2022] Open
Abstract
INTRODUCTION Theta burst pattern repetitive transcranial magnetic stimulation (TBS) is increasingly applied to treat depression. TBS's brevity is well-suited to application in accelerated schedules. Sizeable trials of accelerated TBS are lacking; and optimal TBS parameters such as stimulation intensity are not established. METHODS We conducted a three arm, single blind, randomised, controlled, multi-site trial comparing accelerated bilateral TBS applied at 80 % or 120 % of the resting motor threshold and left unilateral 10 Hz rTMS. 300 patients with treatment-resistant depression (TRD) were recruited. TBS arms applied 20 bilateral prefrontal TBS sessions over 10 days, while the rTMS arm applied 20 daily sessions of 10 Hz rTMS to the left prefrontal cortex over 4 weeks. Primary outcome was depression treatment response at week 4. RESULTS The overall treatment response rate was 43.7 % and the remission rate was 28.2 %. There were no significant differences for response (p = 0.180) or remission (p = 0.316) across the three groups. Response rates between accelerated bilateral TBS applied at sub- and supra-threshold intensities were not significantly different (p = 0.319). Linear mixed model analysis showed a significant effect of time (p < 0.01), but not rTMS type (p = 0.680). CONCLUSION This is the largest accelerated bilateral TBS study to date and provides evidence that it is effective and safe in treating TRD. The accelerated application of TBS was not associated with more rapid antidepressant effects. Bilateral sequential TBS did not have superior antidepressant effect to unilateral 10 Hz rTMS. There was no significant difference in antidepressant efficacy between sub- and supra-threshold accelerated bilateral TBS.
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Affiliation(s)
- Leo Chen
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Camberwell, Victoria, Australia; Monash Alfred Psychiatry Research Centre, Department of Psychiatry, Monash University, Melbourne, Victoria, Australia; Alfred Mental and Addiction Health, Alfred Health, Melbourne, Victoria, Australia.
| | - Elizabeth H X Thomas
- Monash Alfred Psychiatry Research Centre, Department of Psychiatry, Monash University, Melbourne, Victoria, Australia
| | - Pakin Kaewpijit
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Camberwell, Victoria, Australia; Monash Alfred Psychiatry Research Centre, Department of Psychiatry, Monash University, Melbourne, Victoria, Australia; Bangkok Hospital, Bang Kapi, Bangkok, Thailand
| | - Aleksandra Miljevic
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Camberwell, Victoria, Australia
| | - Rachel Hughes
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Camberwell, Victoria, Australia
| | - Lisa Hahn
- The Adelaide Clinic, Ramsay Health Care (SA) Mental Health Services, South Australia, Australia
| | - Yuko Kato
- The Adelaide Clinic, Ramsay Health Care (SA) Mental Health Services, South Australia, Australia
| | - Shane Gill
- The Adelaide Clinic, Ramsay Health Care (SA) Mental Health Services, South Australia, Australia
| | - Patrick Clarke
- The Adelaide Clinic, Ramsay Health Care (SA) Mental Health Services, South Australia, Australia
| | - Felicity Ng
- The Adelaide Clinic, Ramsay Health Care (SA) Mental Health Services, South Australia, Australia; Discipline of Psychiatry, The University of Adelaide, South Australia, Australia
| | - Tom Paterson
- The Adelaide Clinic, Ramsay Health Care (SA) Mental Health Services, South Australia, Australia; Discipline of Psychiatry, The University of Adelaide, South Australia, Australia
| | - Andrew Giam
- Central Adelaide Local Health Network, South Australia, Australia
| | - Shanthi Sarma
- Department of Mental Health, Gold Coast University Hospital, Southport, Queensland, Australia
| | - Kate E Hoy
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Camberwell, Victoria, Australia
| | - Cherrie Galletly
- The Adelaide Clinic, Ramsay Health Care (SA) Mental Health Services, South Australia, Australia; Discipline of Psychiatry, The University of Adelaide, South Australia, Australia; Northern Adelaide Local Health Network, South Australia, Australia
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, Camberwell, Victoria, Australia
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