Literature DB >> 21084732

Evaluation of novel stimulus waveforms for deep brain stimulation.

Thomas J Foutz1, Cameron C McIntyre.   

Abstract

Deep brain stimulation (DBS) is an established therapy for the treatment of a wide range of neurological disorders. Historically, DBS and other neurostimulation technologies have relied on rectangular stimulation waveforms to impose their effects on the nervous system. Recent work has suggested that non-rectangular waveforms may have advantages over the traditional rectangular pulse. Therefore, we used detailed computer models to compare a range of charge-balanced biphasic waveforms with rectangular, exponential, triangular, Gaussian and sinusoidal stimulus pulse shapes. We explored the neural activation energy of these waveforms for both intracellular and extracellular current-controlled stimulation conditions. In the context of extracellular stimulation, we compared their effects on both axonal fibers of passage and projection neurons. Finally, we evaluated the impact of delivering the waveforms through a clinical DBS electrode, as opposed to a theoretical point source. Our results suggest that DBS with a 1 ms centered-triangular pulse can decrease energy consumption by 64% when compared with the standard 100 µs rectangular pulse (energy cost of 48 and 133 nJ, respectively, to stimulate 50% of a distributed population of axons) and can decrease energy consumption by 10% when compared with the most energy efficient rectangular pulse (1.25 ms duration). In turn, there may be measureable energy savings when using appropriately designed non-rectangular pulses in clinical DBS applications, thereby warranting further experimental investigation.

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Year:  2010        PMID: 21084732      PMCID: PMC3018699          DOI: 10.1088/1741-2560/7/6/066008

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  37 in total

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6.  Excitation of central nervous system neurons by nonuniform electric fields.

Authors:  C C McIntyre; W M Grill
Journal:  Biophys J       Date:  1999-02       Impact factor: 4.033

Review 7.  Vagal nerve stimulation: a review of its applications and potential mechanisms that mediate its clinical effects.

Authors:  Duncan A Groves; Verity J Brown
Journal:  Neurosci Biobehav Rev       Date:  2005-05       Impact factor: 8.989

8.  Axons, but not cell bodies, are activated by electrical stimulation in cortical gray matter. II. Evidence from selective inactivation of cell bodies and axon initial segments.

Authors:  L G Nowak; J Bullier
Journal:  Exp Brain Res       Date:  1998-02       Impact factor: 1.972

9.  Choosing electrodes for deep brain stimulation experiments--electrochemical considerations.

Authors:  Jan Gimsa; Beate Habel; Ute Schreiber; Ursula van Rienen; Ulf Strauss; Ulrike Gimsa
Journal:  J Neurosci Methods       Date:  2005-03-30       Impact factor: 2.390

10.  Potential-biased, asymmetric waveforms for charge-injection with activated iridium oxide (AIROF) neural stimulation electrodes.

Authors:  Stuart F Cogan; Philip R Troyk; Julia Ehrlich; Timothy D Plante; David E Detlefsen
Journal:  IEEE Trans Biomed Eng       Date:  2006-02       Impact factor: 4.538

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  48 in total

Review 1.  Electrical stimulation for epilepsy: experimental approaches.

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Review 2.  Mechanisms of deep brain stimulation.

Authors:  Todd M Herrington; Jennifer J Cheng; Emad N Eskandar
Journal:  J Neurophysiol       Date:  2015-10-28       Impact factor: 2.714

3.  Current steering to activate targeted neural pathways during deep brain stimulation of the subthalamic region.

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4.  Numerical optimization of coordinated reset stimulation for desynchronizing neuronal network dynamics.

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Journal:  J Comput Neurosci       Date:  2018-06-07       Impact factor: 1.621

Review 5.  Deep brain stimulation (DBS) at the interface of neurology and psychiatry.

Authors:  Nolan R Williams; Michael S Okun
Journal:  J Clin Invest       Date:  2013-11-01       Impact factor: 14.808

6.  Design and in vivo evaluation of more efficient and selective deep brain stimulation electrodes.

Authors:  Bryan Howell; Brian Huynh; Warren M Grill
Journal:  J Neural Eng       Date:  2015-07-14       Impact factor: 5.379

Review 7.  Computational modeling of deep brain stimulation.

Authors:  Cameron C McIntyre; Thomas J Foutz
Journal:  Handb Clin Neurol       Date:  2013

8.  Development of the Mayo Investigational Neuromodulation Control System: toward a closed-loop electrochemical feedback system for deep brain stimulation.

Authors:  Su-Youne Chang; Christopher J Kimble; Inyong Kim; Seungleal B Paek; Kenneth R Kressin; Joshua B Boesche; Sidney V Whitlock; Diane R Eaker; Aimen Kasasbeh; April E Horne; Charles D Blaha; Kevin E Bennet; Kendall H Lee
Journal:  J Neurosurg       Date:  2013-10-11       Impact factor: 5.115

9.  Modeling the interactions between stimulation and physiologically induced APs in a mammalian nerve fiber: dependence on frequency and fiber diameter.

Authors:  Vijay Sadashivaiah; Pierre Sacré; Yun Guan; William S Anderson; Sridevi V Sarma
Journal:  J Comput Neurosci       Date:  2018-11-15       Impact factor: 1.621

Review 10.  Promises and limitations of human intracranial electroencephalography.

Authors:  Josef Parvizi; Sabine Kastner
Journal:  Nat Neurosci       Date:  2018-03-05       Impact factor: 24.884

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