Robotic transcranial magnetic stimulation in the treatment of depression: a pilot study.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
28 08 2023
Historique:
received: 29 03 2023
accepted: 21 08 2023
medline: 31 8 2023
pubmed: 29 8 2023
entrez: 28 8 2023
Statut: epublish

Résumé

There has been an increasing demand for robotic coil positioning during repetitive transcranial magnetic stimulation (rTMS) treatment. Accurate coil positioning is crucial because rTMS generally targets specific brain regions for both research and clinical application with other reasons such as safety, consistency and reliability and individual variablity. Some previous studies have employed industrial robots or co-robots and showed they can more precisely stimulate the target cortical regions than traditional manual methods. In this study, we not only developed a custom-TMS robot for better TMS coil placement but also analyzed the therapeutic effects on depression. Treatment effects were evaluated by measuring regional cerebral blood flow (rCBF) using single-photon emission computed tomography and depression severity before and after rTMS for the two positioning methods. The rTMS preparation time with our robotic coil placement was reduced by 53% compared with that of the manual method. The position and orientation errors were also significantly reduced from 11.17 mm and 4.06° to 0.94 mm and 0.11°, respectively, confirming the superiority of robotic positioning. The results from clinical and neuroimaging assessments indicated comparable improvements in depression severity and rCBF in the left dorsolateral prefrontal cortex between the robotic and manual rTMS groups. A questionnaire was used to determine the patients' feelings about the robotic system, including the safety and preparation time. A high safety score indicated good acceptability of robotic rTMS at the clinical site.

Identifiants

pubmed: 37640754
doi: 10.1038/s41598-023-41044-1
pii: 10.1038/s41598-023-41044-1
pmc: PMC10462606
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

14074

Informations de copyright

© 2023. Springer Nature Limited.

Références

Rossi, S., Hallett, M., Rossini, P. M. & Pascual-Leone, A. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research. Clin. Neurophysiol. 120, 2008–2039 (2009).
doi: 10.1016/j.clinph.2009.08.016 pubmed: 19833552 pmcid: 3260536
McClintock, S. M. et al. Consensus recommendations for the clinical application of repetitive transcranial magnetic stimulation (rTMS) in the treatment of depression. J. Clin. Psychiatry 79, 35–48 (2018).
doi: 10.4088/JCP.16cs10905
McDonald, W. M. et al. Improving the antidepressant efficacy of transcranial magnetic stimulation: Maximizing the number of stimulations and treatment location in treatment-resistant depression. Depress. Anxiety 28, 973–980 (2011).
doi: 10.1002/da.20885 pubmed: 21898711 pmcid: 4413508
George, M. S. et al. Daily left prefrontal transcranial magnetic stimulation therapy for major depressive disorder. Arch. Gen. Psychiatry 67, 507 (2010).
doi: 10.1001/archgenpsychiatry.2010.46 pubmed: 20439832
O’Reardon, J. P. et al. Efficacy and safety of transcranial magnetic stimulation in the acute treatment of major depression: A multisite randomized controlled trial. Biol. Psychiatry 62, 1208–1216 (2007).
doi: 10.1016/j.biopsych.2007.01.018 pubmed: 17573044
Lefaucheur, J.-P. et al. Evidence-based guidelines on the therapeutic use of repetitive transcranial magnetic stimulation (rTMS). Clin. Neurophysiol. 125, 2150–2206 (2014).
doi: 10.1016/j.clinph.2014.05.021 pubmed: 25034472
Chen, R., Spencer, D. C. & Pulman, J. Transcranial magnetic stimulation for the treatment of epilepsy. In Cochrane Database of Systematic Reviews Vol. 2014 (ed. Chen, R.) 1549–1560 (Wiley, 2014).
Fitzgerald, P. B. et al. A randomized trial of rTMS targeted with MRI based neuro-navigation in treatment-resistant depression. Neuropsychopharmacology 34, 1255–1262 (2009).
doi: 10.1038/npp.2008.233 pubmed: 19145228
Ruohonen, J. & Karhu, J. Navigated transcranial magnetic stimulation. Neurophysiol. Clin. Neurophysiol. 40, 7–17 (2010).
doi: 10.1016/j.neucli.2010.01.006
Julkunen, P. et al. Comparison of navigated and non-navigated transcranial magnetic stimulation for motor cortex mapping, motor threshold and motor evoked potentials. Neuroimage 44, 790–795 (2009).
doi: 10.1016/j.neuroimage.2008.09.040 pubmed: 18976714
Herwig, U., Satrapi, P. & Schönfeldt-Lecuona, C. Using the international 10–20 EEG system for positioning of transcranial magnetic stimulation. Brain Topogr. 16, 95–99 (2003).
doi: 10.1023/B:BRAT.0000006333.93597.9d pubmed: 14977202
Baxter, L. R. et al. Reduction of prefrontal cortex glucose metabolism common to three types of depression. Arch. Gen. Psychiatry 46, 243–250 (1989).
doi: 10.1001/archpsyc.1989.01810030049007 pubmed: 2784046
Bench, C. J., Friston, K. J., Brown, R. G., Frackowiak, R. S. & Dolan, R. J. Regional cerebral blood flow in depression measured by positron emission tomography: The relationship with clinical dimensions. Psychol. Med. 23, 579–590 (1993).
doi: 10.1017/S0033291700025368 pubmed: 7901863
Kennedy, S. H. et al. Changes in regional brain glucose metabolism measured with positron emission tomography after paroxetine treatment of major depression. Am. J. Psychiatry 158, 899–905 (2001).
doi: 10.1176/appi.ajp.158.6.899 pubmed: 11384897
Kito, S., Fujita, K. & Koga, Y. Changes in regional cerebral blood flow after repetitive transcranial magnetic stimulation of the left dorsolateral prefrontal cortex in treatment-resistant depression. J. Neuropsychiatry Clin. Neurosci. 20, 74–80 (2008).
doi: 10.1176/jnp.2008.20.1.74 pubmed: 18305287
Ginhoux, R. et al. A custom robot for transcranial magnetic stimulation: First assessment on healthy subjects. in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 5352–5355 (IEEE, 2013). https://doi.org/10.1109/EMBC.2013.6610758 .
Goetz, S. M. et al. Accuracy of robotic coil positioning during transcranial magnetic stimulation. J. Neural Eng. 16, 054003 (2019).
doi: 10.1088/1741-2552/ab2953 pubmed: 31189147 pmcid: 7297297
Zorn, L. et al. Design and evaluation of a robotic system for transcranial magnetic stimulation. IEEE Trans. Biomed. Eng. 59, 805–815 (2012).
doi: 10.1109/TBME.2011.2179938 pubmed: 22186930
Ryu, W., Kim, J., Kim, S., Choi, Y. J. & Lee, S. Development of a parallel robotic positioning system with specific workspace for noninvasive brain stimulation. IEEE/ASME Trans. Mechatron. https://doi.org/10.1109/TMECH.2021.3114852 (2021).
doi: 10.1109/TMECH.2021.3114852
Shin, H., Ryu, W., Cho, S., Yang, W. & Lee, S. Development of a spherical positioning robot and neuro-navigation system for precise and repetitive non-invasive brain stimulation. Appl. Sci. 9, 4561 (2019).
doi: 10.3390/app9214561
Kim, J. & Lee, S. Development of a wearable robotic positioning system for noninvasive transcranial focused ultrasound stimulation. IEEE/ASME Trans. Mechatron. 21, 2284–2293 (2016).
doi: 10.1109/TMECH.2016.2580500
Lancaster, J. L. et al. Evaluation of an image-guided, robotically positioned transcranial magnetic stimulation system. Hum. Brain Mapp. 22, 329–340 (2004).
doi: 10.1002/hbm.20041 pubmed: 15202111 pmcid: 6872115
Richter, L., Trillenberg, P., Schweikard, A. & Schlaefer, A. Stimulus intensity for hand held and robotic transcranial magnetic stimulation. Brain Stimul. 6, 315–321 (2013).
doi: 10.1016/j.brs.2012.06.002 pubmed: 22749687
Meincke, J., Hewitt, M., Batsikadze, G. & Liebetanz, D. Automated TMS hotspot-hunting using a closed loop threshold-based algorithm. Neuroimage 124, 509–517 (2016).
doi: 10.1016/j.neuroimage.2015.09.013 pubmed: 26385012
Giuffre, A. et al. Non-invasive modulation and robotic mapping of motor cortex in the developing brain. J. Vis. Exp. 2019, 1–12 (2019).
Bodyspace: Anthropometry, ergonomics and the design of work. Bodyspace: Anthropometry, ergonomics and the design of work (2017). https://doi.org/10.4324/9780203482650 .
Iglesias, J. E., Liu, C. Y., Thompson, P. M. & Tu, Z. Robust brain extraction across datasets and comparison with publicly available methods. IEEE Trans. Med. Imaging 30, 1617–1634 (2011).
doi: 10.1109/TMI.2011.2138152 pubmed: 21880566
Gomez-Tames, J., Hamasaka, A., Laakso, I., Hirata, A. & Ugawa, Y. Atlas of optimal coil orientation and position for TMS: A computational study. Brain Stimul. 11, 839–848 (2018).
doi: 10.1016/j.brs.2018.04.011 pubmed: 29699821
Richter, L., Neumann, G., Oung, S., Schweikard, A. & Trillenberg, P. Optimal coil orientation for transcranial magnetic stimulation. PLoS ONE 8, e60358 (2013).
doi: 10.1371/journal.pone.0060358 pubmed: 23593200 pmcid: 3623976
Diagnostic and Statistical Manual of Mental Disorders, 5th Edition. (American Psychiatric Publishing, Inc, 2013). https://doi.org/10.1176/appi.books.9780890425596.893619 .
Bortolomasi, M. et al. Long-lasting effects of high frequency repetitive transcranial magnetic stimulation in major depressed patients. Psychiatry Res. 150, 181–186 (2007).
doi: 10.1016/j.psychres.2006.04.010 pubmed: 17303249
Su, T. P., Huang, C. C. & Wei, I. H. Add-on rTMS for medication-resistant depression: A randomized, double-blind, sham-controlled trial in Chinese patients. J. Clin. Psychiatry 66, 930–937 (2005).
doi: 10.4088/JCP.v66n0718 pubmed: 16013911
Miron, J. P. et al. Safety, tolerability and effectiveness of a novel 20 Hz rTMS protocol targeting dorsomedial prefrontal cortex in major depression: An open-label case series. Brain Stimul. 12, 1319–1321 (2019).
doi: 10.1016/j.brs.2019.06.020 pubmed: 31266722
Eldaief, M. C., Halko, M. A., Buckner, R. L. & Pascual-Leone, A. Transcranial magnetic stimulation modulates the brain’s intrinsic activity in a frequency-dependent manner. Proc. Natl. Acad. Sci. U. S. A. 108, 21229–21234 (2011).
doi: 10.1073/pnas.1113103109 pubmed: 22160708 pmcid: 3248528
Beck, A. T., Steer, R. A. & Brown, G. K. Manual for the Beck depression Inventory-II (TX Psychol. Corp, 1996).
Tzourio-Mazoyer, N. et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15, 273–289 (2002).
doi: 10.1006/nimg.2001.0978 pubmed: 11771995
Brett, M., Anton, J.-L.L., Valabregue, R. & Poline, J.-B. Region of interest analysis using the MarsBar toolbox for SPM 99. Neuroimage 16, S497 (2002).
Taylor, S. F. et al. Changes in brain connectivity during a sham-controlled, transcranial magnetic stimulation trial for depression. J. Affect. Disord. 232, 143–151 (2018).
doi: 10.1016/j.jad.2018.02.019 pubmed: 29494898 pmcid: 5858982
Herwig, U. et al. Add-on rTMS for treatment of depression: A pilot study using stereotaxic coil-navigation according to PET data. J. Psychiatr. Res. 37, 267–275 (2003).
doi: 10.1016/S0022-3956(03)00042-6 pubmed: 12765849
Kimbrell, T. A. et al. Frequency dependence of antidepressant response to left prefrontal repetitive transcranial magnetic stimulation (rTMS) as a function of baseline cerebral glucose metabolism. Biol. Psychiatry 46, 1603–1613 (1999).
doi: 10.1016/S0006-3223(99)00195-X pubmed: 10624541

Auteurs

Hyunsoo Shin (H)

Department of Electrical and Electronic Engineering, Hanyang University, Ansan, 15588, Republic of Korea.

Hyeonseok Jeong (H)

Department of Radiology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 21431, Republic of Korea.
Department of Neurology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 21431, Republic of Korea.

Wooseok Ryu (W)

Tesollo Inc., Gwangmyeong, 14353, Republic of Korea.

Geunhu Lee (G)

Department of Electrical and Electronic Engineering, Hanyang University, Ansan, 15588, Republic of Korea.

Jaeho Lee (J)

Department of Electrical and Electronic Engineering, Hanyang University, Ansan, 15588, Republic of Korea.

Doyu Kim (D)

Department of Nuclear Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 21431, Republic of Korea.

In-Uk Song (IU)

Department of Neurology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 21431, Republic of Korea.

Yong-An Chung (YA)

Department of Nuclear Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, 21431, Republic of Korea. yongan@catholic.ac.kr.

Sungon Lee (S)

Department of Electrical and Electronic Engineering, Hanyang University, Ansan, 15588, Republic of Korea. sungon@hanyang.ac.kr.
Department of Robotics, Hanyang University, Ansan, 15588, Republic of Korea. sungon@hanyang.ac.kr.

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