Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Closed-loop optimal and automatic tuning of pulse amplitude and width in EMG-guided controllable transcranial magnetic stimulation

Closed-loop optimal and automatic tuning of pulse amplitude and width in EMG-guided controllable... This paper proposes an efficient algorithm for automatic and optimal tuning of pulse amplitude and width for sequential parameter estimation (SPE) of the neural membrane time constant and input–output (IO) curve parameters in closed-loop electromyography-guided (EMG-guided) controllable transcranial magnetic stimulation (cTMS). The proposed SPE is performed by administering a train of optimally tuned TMS pulses and updating the estimations until a stopping rule is satisfied or the maximum number of pulses is reached. The pulse amplitude is computed by the Fisher information maximization. The pulse width is chosen by maximizing a normalized depolarization factor, which is defined to separate the optimization and tuning of the pulse amplitude and width. The normalized depolarization factor maximization identifies the critical pulse width, which is an important parameter in the identifiability analysis, without any prior neurophysiological or anatomical knowledge of the neural membrane. The effectiveness of the proposed algorithm is evaluated through simulation. The results confirm satisfactory estimation of the membrane time constant and IO curve parameters for the simulation case. By defining the stopping rule based on the satisfaction of the convergence criterion with tolerance of 0.01 for 5 consecutive times for all parameters, the IO curve parameters are estimated with 52 TMS pulses, with absolute relative estimation errors (AREs) of less than 7%. The membrane time constant is estimated with 0.67% ARE, and the pulse width value tends to the critical pulse width with 0.16% ARE with 52 TMS pulses. The results confirm that the pulse width and amplitude can be tuned optimally and automatically to estimate the membrane time constant and IO curve parameters in real-time with closed-loop EMG-guided cTMS. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Biomedical Engineering Letters Springer Journals

Closed-loop optimal and automatic tuning of pulse amplitude and width in EMG-guided controllable transcranial magnetic stimulation

Download PDF
9 pages

Loading next page...
 
/lp/springer-journals/closed-loop-optimal-and-automatic-tuning-of-pulse-amplitude-and-width-xHvv40B2Qp
Publisher
Springer Journals
Copyright
Copyright © Korean Society of Medical and Biological Engineering 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
ISSN
2093-9868
eISSN
2093-985X
DOI
10.1007/s13534-022-00259-3
Publisher site
See Article on Publisher Site

Abstract

This paper proposes an efficient algorithm for automatic and optimal tuning of pulse amplitude and width for sequential parameter estimation (SPE) of the neural membrane time constant and input–output (IO) curve parameters in closed-loop electromyography-guided (EMG-guided) controllable transcranial magnetic stimulation (cTMS). The proposed SPE is performed by administering a train of optimally tuned TMS pulses and updating the estimations until a stopping rule is satisfied or the maximum number of pulses is reached. The pulse amplitude is computed by the Fisher information maximization. The pulse width is chosen by maximizing a normalized depolarization factor, which is defined to separate the optimization and tuning of the pulse amplitude and width. The normalized depolarization factor maximization identifies the critical pulse width, which is an important parameter in the identifiability analysis, without any prior neurophysiological or anatomical knowledge of the neural membrane. The effectiveness of the proposed algorithm is evaluated through simulation. The results confirm satisfactory estimation of the membrane time constant and IO curve parameters for the simulation case. By defining the stopping rule based on the satisfaction of the convergence criterion with tolerance of 0.01 for 5 consecutive times for all parameters, the IO curve parameters are estimated with 52 TMS pulses, with absolute relative estimation errors (AREs) of less than 7%. The membrane time constant is estimated with 0.67% ARE, and the pulse width value tends to the critical pulse width with 0.16% ARE with 52 TMS pulses. The results confirm that the pulse width and amplitude can be tuned optimally and automatically to estimate the membrane time constant and IO curve parameters in real-time with closed-loop EMG-guided cTMS.

Journal

Biomedical Engineering Letters – Springer Journals

Published: May 1, 2023

Keywords: Brain stimulation; Variable stimulation pulse shape; Controllable transcranial magnetic stimulation (cTMS); Input–output (IO) curve estimation; Closed-loop EMG-guided TMS

References

  • Stimulation of nerve trunks with time-varying magnetic fields
    Polson, MJ; Barker, AT; Freeston, IL
  • Non-invasive magnetic stimulation of human motor cortex
    Barker, AT; Jalinous, R; Freeston, IL
  • Transcranial magnetic stimulation in neurology: what we have learned from randomized controlled studies
    Hemond, CC; Fregni, F
  • Thirty years of transcranial magnetic stimulation: where do we stand?
    Ziemann, U
  • The development and modelling of devices and paradigms for transcranial magnetic stimulation
    Goetz, SM; Deng, ZD
  • Modular multilevel TMS device with wide output range and ultrabrief pulse capability for sound reduction
    Zeng, Z; Koponen, LM; Hamdan, R; Li, Z; Goetz, SM; Peterchev, AV
  • The maximum-likelihood strategy for determining transcranial magnetic stimulation motor threshold, using parameter estimation by sequential testing is faster than conventional methods with similar precision
    Mishory, A; Molnar, C; Koola, J; Li, X; Kozel, FA; Myrick, H; Stroud, Z; Nahas, Z; George, MS
  • Closed-loop neuroscience and neuroengineering
    Potter, SM; El Hady, A; Fetz, EE
  • A transcranial magnetic stimulator inducing near-rectangular pulses with controllable pulse width (cTMS)
    Peterchev, AV; Jalinous, R; Lisanby, SH
  • Enhancement of neuromodulation with novel pulse shapes generated by controllable pulse parameter transcranial magnetic stimulation
    Goetz, SM; Luber, B; Lisanby, SH; Murphy, DLK; Kozyrkov, AC; Grill, WM; Peterchev, AV
  • Effect of coil orientation on strength–duration time constant and I-wave activation with controllable pulse parameter transcranial magnetic stimulation
    D'Ostilio, K; Goetz, SM; Hannah, R; Ciocca, M; Chieffo, R; Chen, J-CA; Peterchev, AV; Rothwell, JC
  • Pulse duration as well as current direction determines the specificity of transcranial magnetic stimulation of motor cortex during contraction
    Hannah, R; Rothwell, JC
  • Neuronal tuning: Selective targeting of neuronal populations via manipulation of pulse width and directionality
    Halawa, I; Shirota, Y; Neef, A; Sommer, M; Paulus, W
  • Optimization of magnetic neurostimulation waveforms for minimum power loss
    Goetz, SM; Truong, NC; Gerhofer, MG; Peterchev, AV; Herzog, HG; Weyh, T
  • Analysis and optimization of pulse dynamics for magnetic stimulation
    Goetz, SM; Truong, CN; Gerhofer, MG; Peterchev, AV; Herzog, HG; Weyh, T
  • Reduced heat generation during magnetic stimulation of rat sciatic nerve using current waveform truncation
    Kagan, ZB; Mize, JT; Kosta, P; Lazzi, G; Normann, RA; Warren, DJ
  • Relevance of stimulus duration for activation of motor and sensory fibers: implications for the study of H-reflexes and magnetic stimulation
    Panizza, M; Nilsson, J; Roth, BJ; Basser, PJ; Hallett, M
  • Optimal stimulus duration for extracranial cortical stimulation
    Geddes, LA
  • Effects of pulse width, waveform and current direction in the cortex: a combined cTMS-EEG study
    Casula, EP; Rocchi, L; Hannah, R; Rothwell, JC
  • Pulse width dependence of motor threshold and input–output curve characterized with controllable pulse parameter transcranial magnetic stimulation
    Peterchev, AV; Goetz, SM; Westin, GG; Luber, B; Lisanby, SH
  • Pulse width affects scalp sensation of transcranial magnetic stimulation
    Peterchev, AV; Luber, B; Westin, GG; Lisanby, SH
  • Transcranial magnetic stimulation
    Amassian, VE; Maccabee, PJ
  • Strength-duration properties of human peripheral nerve
    Mogyoros, I; Kiernan, MC; Burke, D
  • Membrane time constant as a tool to assess cell degeneration
    Isokawa, M
  • Strength–duration properties of sensory and motor axons in alcoholic polyneuropathy
    Yerdelen, D; Koc, F; Uysal, H
  • Nerve excitability as a biomarker for amyotrophic lateral sclerosis: a systematic review and meta-analysis
    Lugg, A; Schindle, M; Sivak, A; Tankisi, H; Jones, KE
  • Transcranial magnetic stimulation in the visual system. II. Characterization of induced phosphenes and scotomas
    Kammer, T; Puls, K; Erb, M; Grodd, W
  • Methodological and physiological aspects of motor evoked potentials
    Rossini, PM
  • Focal stimulation of human cerebral cortex with the magnetic coil: a comparison with electrical stimulation
    Amassian, VE; Cracco, RQ; Maccabee, PJ
  • Determination of motor threshold using visual observation overestimates transcranial magnetic stimulation dosage: safety implications
    Westin, GG; Bassi, BD; Lisanby, SH; Luber, B
  • Noninvasive detection of motor-evoked potentials in response to brain stimulation below the noise floor—how weak can a stimulus be and still stimulate
    Goetz, SM; Li, Z; Peterchev, AV
  • Transcranial brain stimulation: closing the loop between brain and stimulation
    Karabanov, A; Thielscher, A; Siebner, HR
  • Combining non-invasive transcranial brain stimulation with neuroimaging and electrophysiology: current approaches and future perspectives
    Bergmann, TO; Karabanov, A; Hartwigsen, G; Thielscher, A; Siebner, HR
  • Phase-specific modulation of cortical excitability using closed-loop TMS-EEG
    Wischnewski, M; Haigh, A; Shirinpour, S; Alekseichuk, I; Opitz, A
  • Closed-loop optimization of transcranial magnetic stimulation with electroencephalography feedback
    Tervo, AE; Nieminen, JO; Lioumis, P; Metsomaa, J; Souza, VH; Sinisalo, H; Stenroos, M; Sarvas, J; Ilmoniemia, RJ
  • EEG-guided transcranial magnetic stimulation reveals rapid shifts in motor cortical excitability during the human sleep slow oscillation
    Bergmann, TO; Molle, M; Schmidt, MA; Lindner, C; Marshall, L; Born, J; Siebner, HR
  • Real-time EEG-defined excitability states determine efficacy of TMS-induced plasticity in human motor cortex
    Zrenner, C; Desideri, D; Belardinelli, P; Ziemann, U
  • Closed-loop transcranial magnetic stimulation of real-time EEG based on the AR mode method
    Ding, Z; Ouyang, G; Chen, H; Li, X
  • Improving closed-loop TMS timing using the Wavenet model
    Pankka, H; Roine, T; Lehtinen, J; Ilmoniemi, RJ
  • Optimal estimation of neural recruitment curves using Fisher information: application to transcranial magnetic stimulation
    Alavi, SMM; Goetz, SM; Peterchev, AV
  • Input–output slope curve estimation in neural stimulation based on optimal sampling principles
    Alavi, SMM; Goetz, SM; Saif, M
  • A formalism for the sequential estimation of neural membrane time constant and input–output curve towards selective and closed-loop transcranial magnetic stimulation
    Alavi, SMM; Vila-Rodriguez, F; Mahdi, A; Goetz, SM
  • Personalized transcranial magnetic stimulation in psychiatry
    Cocchi, L; Zalesky, A
  • Magnetic seizure therapy: towards personalized seizure therapy for major depression
    Kallioniemi, E; McClintock, SM; Deng, ZD; Husain, MM; Lisanby, SH
  • The future of personalized brain stimulation
    Figee, M; Mayberg, H
  • Personalizing repetitive transcranial magnetic stimulation for precision depression treatment based on functional brain network controllability and optimal control analysis
    Fang, F; Godlewska, B; Cho, RY; Savitz, SI; Selvaraj, S; Zhang, Y
  • Logarithmic distribution of amplitudes of compound muscle action potentials evoked by transcranial magnetic stimulation
    Nielsen, JF
  • Intra-subject variation and correlation of motor potentials evoked by transcranial magnetic stimulation
    Choudhury, KR; Boyle, L; Burke, M; Lombard, W; Ryan, S; McNamara, B
  • A model of variability in brain stimulation evoked responses
    Goetz, SM; Peterchev, AV
  • A novel model incorporating two variability sources for describing motor evoked potentials
    Goetz, SM; Luber, B; Lisanby, SH; Peterchev, AV
  • Isolating two sources of variability of subcortical stimulation to quantify fluctuations of corticospinal tract excitability
    Goetz, SM; Howell, B; Wang, B; Li, Z; Sommer, MA; Peterchev, AV; Grill, WM
  • Redundancy among parameters describing the input–output relation of motor evoked potentials in healthy subjects and stroke patients
    Kemlin, C; Moulton, E; Leder, S; Houot, M; Meunier, S; Rosso, C; Lamy, J-C
  • Novel tools for rapid online data acquisition of the TMS stimulus-response curve
    van de Ruit, M; Pearson, T; Grey, MJ
  • Motometrics: a toolbox for annotation and efficient analysis of motor evoked potentials
    Giridharan, SR; Gupta, D; Pal, A; Mishra, AM; Hill, NJ; Carmel, JB
  • The Brain Electrophysiological recording & STimulation (BEST) toolbox
    Umair Hassan, U; Pillen, S; Zrenner, C; Bergmann, TO
  • Statistical model of motor evoked potentials
    Goetz, SM; Alavi, SMM; Deng, Z-D; Peterchev, AV
  • Effect of pulse duration and direction on plasticity induced by 5 Hz repetitive transcranial magnetic stimulation in correlation with neuronal depolarization
    Halawa, I; Reichert, K; Aberra, AS; Sommer, M; Peterchev, AV; Paulus, W
  • Identifiability analysis and noninvasive online estimation of the first-order neural activation dynamics in the brain with transcranial magnetic stimulation
    Alavi, SMM; Mahdi, A; Vila-Rodriguez, F; Goetz, SM