Imperial College near infrared spectroscopy neuroimaging analysis framework

Orihuela‐Espina, Felipe; Leff, Daniel; James, David; Darzi, Ara; Yang, Guang‐Zhong

doi:10.1117/1.nph.5.1.011011

Cited by 9 publications

(6 citation statements)

References 37 publications

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“…The modified Beer-Lambert law was used to convert changes in light intensity into HbO 2 and HHb concentration changes. 11 Data were then processed for statistical analysis using a bespoke analytical framework (ICNNA) 32 and self-paced blocks were resampled to 120 s, ensuring uniformity with time pressure blocks, before collating a database of per subject HbO 2 and HHb values for each condition, operative platform and block. A time window of 120 s with a break delay of 10 s from task onset was selected for this purpose.…”

Section: Methodsmentioning

confidence: 99%

Robotic Surgery Improves Technical Performance and Enhances Prefrontal Activation During High Temporal Demand

et al. 2018

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Robotic surgery may improve technical performance and reduce mental demands compared to laparoscopic surgery. However, no studies have directly compared the impact of robotic and laparoscopic techniques on surgeons’ brain function. This study aimed to assess the effect of the operative platform (robotic surgery or conventional laparoscopy) on prefrontal cortical activation during a suturing task performed under temporal demand. Eight surgeons (mean age ± SD = 34.5 ± 2.9 years, male:female ratio = 7:1) performed an intracorporeal suturing task in a self-paced manner and under a 2 min time restriction using conventional laparoscopic and robotic techniques. Prefrontal activation was assessed using near-infrared spectroscopy, subjective workload was captured using SURG-TLX questionnaires, and a continuous heart rate monitor measured systemic stress responses. Task progression scores (au), error scores (au), leak volumes (mL) and knot tensile strengths (N) provided objective assessment of technical performance. Under time pressure, robotic suturing led to improved technical performance (median task progression score: laparoscopic suturing = 4.5 vs. robotic suturing = 5.0; z = − 2.107, p = 0.035; median error score: laparoscopic suturing = 3.0 mm vs. robotic suturing = 2.1 mm; z = − 2.488, p = 0.013). Compared to laparoscopic suturing, greater prefrontal activation was identified in seven channels located primarily in lateral prefrontal regions. These results suggest that robotic surgery improves performance during high workload conditions and is associated with enhanced activation in regions of attention, concentration and task engagement.Electronic supplementary materialThe online version of this article (10.1007/s10439-018-2049-z) contains supplementary material, which is available to authorized users.

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Section: Methodsmentioning

confidence: 99%

Robotic Surgery Improves Technical Performance and Enhances Prefrontal Activation During High Temporal Demand

et al. 2018

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“…Much progress of NIRS and DOT research in human head has been achieved. Accurate modeling of tissue increased the utility of photon migration for a broader range of applications including: cerebral metabolism , cerebral edema , traumatic brain injury , functional neuroimaging . However, the study on photon migration in human heart has not been thoroughly researched yet.…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo modeling of photon migration in realistic human thoracic tissues for noninvasive monitoring of cardiac hemodynamics

Liu

Chen

Fang

et al. 2019

Journal of Biophotonics

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Noninvasive monitoring of cardiac hemodynamics remains challenging in cardiovascular medicine. The possibility of noninvasive optical monitoring of cardiac hemodynamics was theoretically investigated in this study. By utilizing the Monte Carlo simulation method for voxelized media (MCVM) and Visible Chinese Human dataset, we quantified and visualized the photon migration in human thoracic region. The light fluence distribution was showed to reach heart tissue (∼3 cm depth underbody surface) and 12% of the total fluence was absorbed by the myocardium. The proportion of spatial sensitivity distribution (SSD) in cardiac tissue to the total SSD reached 0.0195%. The portion of SSD increased following with cardiac diastole and diffuse reflectance deceased linearly with increasing cardiac volume. The optimal separation between the light source and detector was provided to be 3.5 to 4.0 cm for future development of noninvasive cardiac hemodynamics monitoring. A pilot experimental study was conducted to measure the diffuse reflectance light and fingertip photoplethysmography. These data suggest that the fluctuation period of near‐infrared (NIR) diffuse reflectance was consistent with the cardiac cycle, while the fluctuation features of the NIR signal was not consistent with that of photoplethysmography. All results indicate the great potential of noninvasive optical monitoring of myocardial hemodynamics.

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“…However, since PPI is an evoked activity-based connectivity analysis, we shall constraint graph isolation later to active channels. Thus, for reference, a classical task minus baseline analysis of segregated activity was conducted 13 and the channels found as active here were later used to crop the graphs during validation. Segregational activity was established following a task minus baseline analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Processing consisted of signal decimation to 1 Hz to reduce systemic influence, linear detrending to remove system drift and data integrity checks were carried out in ICNNA v1.1.3. 13 Integrity checks included Haar wavelet-based detection of motion-related artifacts, as well as saturation detection individually at both wavelengths as already described. 14 These automated integrity checks were complemented with visual inspection by one of the researchers and subserved rejection of channels considered to remain affected by artifacts.…”

Section: Methodsmentioning

confidence: 99%

Interpolated functional manifold for functional near-infrared spectroscopy analysis at group level

et al. 2020

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Significance: Solutions for group-level analysis of connectivity from fNIRS observations exist, but groupwise explorative analysis with classical solutions is often cumbersome. Manifoldbased solutions excel at data exploration, but there are infinite surfaces crossing the observations cloud of points. Aim: We aim to provide a systematic choice of surface for a manifold-based analysis of connectivity at group level with small surface interpolation error. Approach: This research introduces interpolated functional manifold (IFM). IFM builds a manifold from reconstructed changes in concentrations of oxygenated ΔcHbO 2 and reduced ΔcHbR hemoglobin species by means of radial basis functions (RBF). We evaluate the root mean square error (RMSE) associated to four families of RBF. We validated our model against psychophysiological interactions (PPI) analysis using the Jaccard index (JI). We demonstrate the usability in an experimental dataset of surgical neuroergonomics. Results: Lowest interpolation RMSE was 1.26e − 4 AE 1.32e − 8 for ΔcHbO 2 [A.U.] and 4.30e − 7 AE 2.50e − 13 [A.U.] for ΔcHbR. Agreement with classical group analysis was JI ¼ 0.89 AE 0.01 for ΔcHbO 2. Agreement with PPI analysis was JI ¼ 0.83 AE 0.07 for ΔcHbO 2 and JI ¼ 0.77 AE 0.06 for ΔcHbR. IFM successfully decoded group differences [ANOVA: ΔcHbO 2 : Fð2;117Þ ¼ 3.07; p < 0.05; ΔcHbR: Fð2;117Þ ¼ 3.35; p < 0.05]. Conclusions: IFM provides a pragmatic solution to the problem of choosing the manifold associated to a cloud of points, facilitating the use of manifold-based solutions for the group analysis of fNIRS datasets.

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Imperial College near infrared spectroscopy neuroimaging analysis framework

Cited by 9 publications

References 37 publications

Robotic Surgery Improves Technical Performance and Enhances Prefrontal Activation During High Temporal Demand

Robotic Surgery Improves Technical Performance and Enhances Prefrontal Activation During High Temporal Demand

Monte Carlo modeling of photon migration in realistic human thoracic tissues for noninvasive monitoring of cardiac hemodynamics

Interpolated functional manifold for functional near-infrared spectroscopy analysis at group level

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