Literature DB >> 30275348

Anodic stimulation misunderstood: preferential activation of fiber orientations with anodic waveforms in deep brain stimulation.

Daria Nesterovich Anderson1, Gordon Duffley, Johannes Vorwerk, Alan D Dorval, Christopher R Butson.   

Abstract

OBJECTIVE: During deep brain stimulation (DBS), it is well understood that extracellular cathodic stimulation can cause activation of passing axons. Activation can be predicted from the second derivative of the electric potential along an axon, which depends on axonal orientation with respect to the stimulation source. We hypothesize that fiber orientation influences activation thresholds and that fiber orientations can be selectively targeted with DBS waveforms. APPROACH: We used bioelectric field and multicompartment NEURON models to explore preferential activation based on fiber orientation during monopolar or bipolar stimulation. Preferential fiber orientation was extracted from the principal eigenvectors and eigenvalues of the Hessian matrix of the electric potential. We tested cathodic, anodic, and charge-balanced pulses to target neurons based on fiber orientation in general and clinical scenarios. MAIN
RESULTS: Axons passing the DBS lead have positive second derivatives around a cathode, whereas orthogonal axons have positive second derivatives around an anode, as indicated by the Hessian. Multicompartment NEURON models confirm that passing fibers are activated by cathodic stimulation, and orthogonal fibers are activated by anodic stimulation. Additionally, orthogonal axons have lower thresholds compared to passing axons. In a clinical scenario, fiber pathways associated with therapeutic benefit can be targeted with anodic stimulation at 50% lower stimulation amplitudes. SIGNIFICANCE: Fiber orientations can be selectively targeted with simple changes to the stimulus waveform. Anodic stimulation preferentially activates orthogonal fibers, approaching or leaving the electrode, at lower thresholds for similar therapeutic benefit in DBS with decreased power consumption.

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Mesh:

Year:  2018        PMID: 30275348      PMCID: PMC6889961          DOI: 10.1088/1741-2552/aae590

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


  41 in total

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6.  Anodic versus cathodic neurostimulation of the subthalamic nucleus: A randomized-controlled study of acute clinical effects.

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8.  Modeling deep brain stimulation: point source approximation versus realistic representation of the electrode.

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  21 in total

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2.  A retrospective evaluation of automated optimization of deep brain stimulation parameters.

Authors:  Johannes Vorwerk; Andrea A Brock; Daria N Anderson; John D Rolston; Christopher R Butson
Journal:  J Neural Eng       Date:  2019-11-06       Impact factor: 5.379

3.  Deep brain stimulation of terminating axons.

Authors:  Kelsey L Bower; Cameron C McIntyre
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4.  Neural selectivity, efficiency, and dose equivalence in deep brain stimulation through pulse width tuning and segmented electrodes.

Authors:  Collin J Anderson; Daria Nesterovich Anderson; Stefan M Pulst; Christopher R Butson; Alan D Dorval
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5.  A systematic exploration of parameters affecting evoked intracranial potentials in patients with epilepsy.

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Review 8.  Electrical stimulation of cranial nerves in cognition and disease.

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9.  Structural connectivity predicts clinical outcomes of deep brain stimulation for Tourette syndrome.

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10.  Computational investigation of the impact of deep brain stimulation contact size and shape on neural selectivity.

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Journal:  J Neural Eng       Date:  2021-04-06       Impact factor: 5.379

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