2015
DOI: 10.1109/tbme.2014.2363494
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Relationship between Neural Activation and Electric Field Distribution during Deep Brain Stimulation

Abstract: 1 Abstract-Models and simulations are commonly used to study deep brain stimulation (DBS). Simulated stimulation fields are often defined and visualized by electric field isolevels or volumes of tissue activated (VTA). The aim of the present study was to evaluate the relationship between stimulation field strength as defined by the electric potential, V, the electric field, E, and the divergence of the electric field , and neural activation. Axon cable models were developed and coupled to finite element DBS mo… Show more

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Cited by 197 publications
(205 citation statements)
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“…Stimulation fields, henceforth referred to as volumes of neural activation (VNAs), were generated for all the assessed stimulation settings. Homogeneous tissue, straight long axons with diameters of 2.5 µm, together with the assessed stimulation settings (amplitude and pulse width), were used for the simulations of the VNAs as described in Åström et al [18]. PSMs where created for stimulation settings with excellent, good, and poor effect as defined in table 2.…”
Section: Methodsmentioning
confidence: 99%
“…Stimulation fields, henceforth referred to as volumes of neural activation (VNAs), were generated for all the assessed stimulation settings. Homogeneous tissue, straight long axons with diameters of 2.5 µm, together with the assessed stimulation settings (amplitude and pulse width), were used for the simulations of the VNAs as described in Åström et al [18]. PSMs where created for stimulation settings with excellent, good, and poor effect as defined in table 2.…”
Section: Methodsmentioning
confidence: 99%
“…Registration was carried out with a rigid registration algorithm based on normalized gradient fields (Rü haak et al, 2015), together with a local bounding box of 30 Â 30 Â 30 mm 3 applied around the target area to define the volume used for registration. VTAs were simulated and displayed for each lead based on the applied stimulation parameters (Table 1) (Astrom et al, 2014). A mean VTA was created for each cohort by aggregating all VTAs of a single group, and allegorize only voxels that overlapped by 52 VTAs.…”
Section: Volume Of Tissue Activated Modellingmentioning
confidence: 99%
“…However, despite an overall improvement in OCB outcome, statistical significance was not reached. Further subgroup analysis revealed that 4 patients with the most severe baseline OCB (score 24-31) showed a 38.7% (7.4-60) improvement in Y-BOCS, 5 with a moderate score [15,16,17,18,19,20,21,22] of 12.3% (-20 to 50), whilst 6 patients with mild or subclinical OCB showed little or no improvement, suggesting that the impact of DBS may be seen most in those with severe baseline OCB associated with TS. The inspection of individual patient data also revealed variability in tic outcome, with 4 patients showing a less than 20% YGTSS improvement, 6 experiencing a 20-50% improvement, and 5 displaying an over 50% improvement (Table 2).…”
Section: Resultsmentioning
confidence: 99%
“…However, previous simulation studies have shown this to be only a minor influence, compared with cerebrospinal fluid-filled cysts due to Virchow Robin spaces [27], for instance. Another parameter that is unknown is the exact distribution of axon diameters in the regions of interest; as wider diameter axons are easier to trigger, this will affect what EF isolevel is relevant for calculation of the stimulation [20]. The axon model used to calculate the triggering isolevels also contains parameters other than axon diameter that could affect the ease of activation, such as internodal length.…”
Section: Discussionmentioning
confidence: 99%
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