Quantification of Gastric Slow Wave Velocity using Bipolar High-Resolution Recordings

Author(s):  
Henry Han ◽  
Leo K Cheng ◽  
Recep Avci ◽  
Niranchan Paskaranandavadivel
2019 ◽  
Vol 25 (2) ◽  
pp. 276-285 ◽  
Author(s):  
Peng Du ◽  
Gregory O' ◽  
Grady ◽  
Niranchan Paskaranandavadivel ◽  
Shou-jiang Tang ◽  
...  

2017 ◽  
Vol 313 (3) ◽  
pp. G265-G276 ◽  
Author(s):  
N. Paskaranandavadivel ◽  
L. K. Cheng ◽  
P. Du ◽  
J. M. Rogers ◽  
G. O’Grady

Slow waves play a central role in coordinating gastric motor activity. High-resolution mapping of extracellular potentials from the stomach provides spatiotemporal detail on normal and dysrhythmic slow-wave patterns. All mapping studies to date have focused exclusively on tissue activation; however, the recovery phase contains vital information on repolarization heterogeneity, the excitable gap, and refractory tail interactions but has not been investigated. Here, we report a method to identify the recovery phase in slow-wave mapping data. We first developed a mathematical model of unipolar extracellular potentials that result from slow-wave propagation. These simulations showed that tissue repolarization in such a signal is defined by the steepest upstroke beyond the activation phase (activation was defined by accepted convention as the steepest downstroke). Next, we mapped slow-wave propagation in anesthetized pigs by recording unipolar extracellular potentials from a high-resolution array of electrodes on the serosal surface. Following the simulation result, a wavelet transform technique was applied to detect repolarization in each signal by finding the maximum positive slope beyond activation. Activation-recovery (ARi) and recovery-activation (RAi) intervals were then computed. We hypothesized that these measurements of recovery profile would differ for slow waves recorded during normal and spatially dysrhythmic propagation. We found that the ARi of normal activity was greater than dysrhythmic activity (5.1 ± 0.8 vs. 3.8 ± 0.7 s; P < 0.05), whereas RAi was lower (9.7 ± 1.3 vs. 12.2 ± 2.5 s; P < 0.05). During normal propagation, RAi and ARi were linearly related with negative unit slope indicating entrainment of the entire mapped region. This relationship was weakened during dysrhythmia (slope: −0.96 ± 0.2 vs −0.71 ± 0.3; P < 0.05). NEW & NOTEWORTHY The theoretical basis of the extracellular gastric slow-wave recovery phase was defined using mathematical modeling. A novel technique utilizing the wavelet transform was developed and validated to detect the extracellular slow-wave recovery phase. In dysrhythmic wavefronts, the activation-to-recovery interval (ARi) was shorter and recovery-to-activation interval (RAi) was longer compared with normal wavefronts. During normal activation, RAi vs. ARi had a slope of −1, whereas the weakening of the slope indicated a dysrhythmic propagation.


2016 ◽  
Vol 311 (5) ◽  
pp. G895-G902 ◽  
Author(s):  
Rachel Berry ◽  
Taimei Miyagawa ◽  
Niranchan Paskaranandavadivel ◽  
Peng Du ◽  
Timothy R. Angeli ◽  
...  

High-resolution (HR) mapping has been used to study gastric slow-wave activation; however, the specific characteristics of antral electrophysiology remain poorly defined. This study applied HR mapping and computational modeling to define functional human antral physiology. HR mapping was performed in 10 subjects using flexible electrode arrays (128–192 electrodes; 16–24 cm2) arranged from the pylorus to mid-corpus. Anatomical registration was by photographs and anatomical landmarks. Slow-wave parameters were computed, and resultant data were incorporated into a computational fluid dynamics (CFD) model of gastric flow to calculate impact on gastric mixing. In all subjects, extracellular mapping demonstrated normal aboral slow-wave propagation and a region of increased amplitude and velocity in the prepyloric antrum. On average, the high-velocity region commenced 28 mm proximal to the pylorus, and activation ceased 6 mm from the pylorus. Within this region, velocity increased 0.2 mm/s per mm of tissue, from the mean 3.3 ± 0.1 mm/s to 7.5 ± 0.6 mm/s ( P < 0.001), and extracellular amplitude increased from 1.5 ± 0.1 mV to 2.5 ± 0.1 mV ( P < 0.001). CFD modeling using representative parameters quantified a marked increase in antral recirculation, resulting in an enhanced gastric mixing, due to the accelerating terminal antral contraction. The extent of gastric mixing increased almost linearly with the maximal velocity of the contraction. In conclusion, the human terminal antral contraction is controlled by a short region of rapid high-amplitude slow-wave activity. Distal antral wave acceleration plays a major role in antral flow and mixing, increasing particle strain and trituration.


2016 ◽  
Vol 29 (5) ◽  
pp. e13010 ◽  
Author(s):  
T. R. Angeli ◽  
P. Du ◽  
N. Paskaranandavadivel ◽  
S. Sathar ◽  
A. Hall ◽  
...  

2010 ◽  
Vol 39 (1) ◽  
pp. 469-483 ◽  
Author(s):  
Jonathan C. Erickson ◽  
Greg O’Grady ◽  
Peng Du ◽  
John U. Egbuji ◽  
Andrew J. Pullan ◽  
...  

2009 ◽  
Vol 136 (5) ◽  
pp. A-579-A-580
Author(s):  
Gregory O'Grady ◽  
Peng Du ◽  
John U. Egbuji ◽  
Wim Lammers ◽  
Leo K. Cheng ◽  
...  

2018 ◽  
Vol 31 (1) ◽  
pp. e13449 ◽  
Author(s):  
Hanyu Zhang ◽  
Han Yu ◽  
Gregory P. Walcott ◽  
Niranchan Paskaranandavadivel ◽  
Leo K. Cheng ◽  
...  

2010 ◽  
Vol 138 (5) ◽  
pp. S-314
Author(s):  
John U. Egbuji ◽  
Gregory O'Grady ◽  
Peng Du ◽  
Leo K. Cheng ◽  
Wim Lammers ◽  
...  

2009 ◽  
Vol 38 (4) ◽  
pp. 1511-1529 ◽  
Author(s):  
Jonathan C. Erickson ◽  
Gregory O’Grady ◽  
Peng Du ◽  
Chibuike Obioha ◽  
Wenlian Qiao ◽  
...  

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