Improvements in Functional Diffuse Optical Tomography Maps by Global Motion Censoring Techniques

Sherafati, Arefeh; Eggebrecht, Adam T.; Bergonzi, Karla M.; Burns‐Yocum, Tracy M.; Culver, Joseph P.

doi:10.1364/translational.2018.jw3a.51

Cited by 5 publications

(7 citation statements)

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“…Motion censoring (scrubbing) excludes the time points or data blocks exceeding the GVTD noise threshold from further analysis of resting state and task data (Sherafati et al, 2017; Sherafati et al, 2018). Details concerning the noise threshold criterion are explained in §3.3.…”

Section: Methodsmentioning

confidence: 99%

“…High-density diffuse optical tomography (HD-DOT) has tremendous potential to be a surrogate for functional magnetic resonance imaging (fMRI) (Eggebrecht et al, 2014;Hassanpour, Eggebrecht, Culver, & Peelle, 2015;Ferradal et al, 2016;White et al, 2009;Sherafati et al, 2018;Hassanpour, 2015;Burke et al, 2019;Sherafati et al, 2020). However, methods for dealing with detection and suppression of motion artifacts in HD-DOT data are relatively underdeveloped, which limits its application to many important clinical populations.…”

Section: Introductionmentioning

confidence: 99%

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Global motion detection and censoring in high‐density diffuse optical tomography

Sherafati

Snyder

Eggebrecht

et al. 2020

Human Brain Mapping

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Motion‐induced artifacts can significantly corrupt optical neuroimaging, as in most neuroimaging modalities. For high‐density diffuse optical tomography (HD‐DOT) with hundreds to thousands of source‐detector pair measurements, motion detection methods are underdeveloped relative to both functional magnetic resonance imaging (fMRI) and standard functional near‐infrared spectroscopy (fNIRS). This limitation restricts the application of HD‐DOT in many challenging imaging situations and subject populations (e.g., bedside monitoring and children). Here, we evaluated a new motion detection method for multi‐channel optical imaging systems that leverages spatial patterns across measurement channels. Specifically, we introduced a global variance of temporal derivatives (GVTD) metric as a motion detection index. We showed that GVTD strongly correlates with external measures of motion and has high sensitivity and specificity to instructed motion—with an area under the receiver operator characteristic curve of 0.88, calculated based on five different types of instructed motion. Additionally, we showed that applying GVTD‐based motion censoring on both hearing words task and resting state HD‐DOT data with natural head motion results in an improved spatial similarity to fMRI mapping. We then compared the GVTD similarity scores with several commonly used motion correction methods described in the fNIRS literature, including correlation‐based signal improvement (CBSI), temporal derivative distribution repair (TDDR), wavelet filtering, and targeted principal component analysis (tPCA). We find that GVTD motion censoring on HD‐DOT data outperforms other methods and results in spatial maps more similar to those of matched fMRI data.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Global motion detection and censoring in high‐density diffuse optical tomography

Sherafati

Snyder

Eggebrecht

et al. 2020

Human Brain Mapping

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“…The hemodynamic changes for each of the 16 channels were calculated using the Modified Beer Lambert Law (MBLL) (Hiraoka et al, ). As stated in (Bauernfeind, Wriessnegger, Daly, & Müller‐Putz, ), the frequency of pulse waves is typically around 1–2 Hz, Mayer waves frequency is around 0.1 Hz, and the respiration frequency is around 0.3 Hz (Anderson et al, ; Greve et al, ; Sherafati, Eggebrecht, Bergonzi, Burns‐Yocum, & Culver, ). Here, HbO signals were low passed filtered at 0.1 Hz, then the moving average filter with 1.5 s timing window was applied to smooth the signal.…”

Section: Methodsmentioning

confidence: 99%

The role of prefrontal cortex in a moral judgment task using functional near‐infrared spectroscopy

et al. 2018

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BackgroundUnderstanding the neural basis of moral judgment (MJ) and human decision‐making has been the subject of numerous studies because of their impact on daily life activities and social norms. Here, we aimed to investigate the neural process of MJ using functional near‐infrared spectroscopy (fNIRS), a noninvasive, portable, and affordable neuroimaging modality.MethodsWe examined prefrontal cortex (PFC) activation in 33 healthy participants engaging in MJ exercises. We hypothesized that participants presented with personal (emotionally salient) and impersonal (less emotional) dilemmas would exhibit different brain activation observable through fNIRS. We also investigated the effects of utilitarian and nonutilitarian responses to MJ scenarios on PFC activation. Utilitarian responses are those that favor the greatest good while nonutilitarian responses favor moral actions. Mixed effect models were applied to model the cerebral hemodynamic changes that occurred during MJ dilemmas.Results and conclusionsOur analysis found significant differences in PFC activation during personal versus impersonal dilemmas. Specifically, the left dorsolateral PFC was highly activated during impersonal MJ when a nonutilitarian decision was made. This is consistent with the majority of relevant fMRI studies, and demonstrates the feasibility of using fNIRS, with its portable and motion tolerant capacities, to investigate the neural basis of MJ dilemmas.

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“…Motion artifact detection Motion artifacts were detected in a time-point by time-point manner on the 10 Hz bandpass filtered first nearest neighbor (13mm) measurements, using a previously described motion detection method in HD-DOT, the global variance of the temporal derivatives (GVTD) (Sherafati et al, 2018;Sherafati et al, 2017;Sherafati et al, 2020). GVTD, similar to DVARS (derivative of variance) in fMRI (Power et al, 2012;Smyser et al, 2011), is a vector 𝒈 that is defined as the RMS of the temporal derivatives (𝑦 !"…”

Section: Competing Interestsmentioning

confidence: 99%

Prefrontal cortex supports speech perception in listeners with cochlear implants

Sherafati

Dwyer

Bajracharya

et al. 2021

Preprint

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Cochlear implants are neuroprosthetic devices that can restore hearing in individuals with severe to profound hearing loss by electrically stimulating the auditory nerve. Because of physical limitations on the precision of this stimulation, the acoustic information delivered by a cochlear implant does not convey the same level of spectral detail as that conveyed by normal hearing. As a result, speech understanding in listeners with cochlear implants is typically poorer and more effortful than in listeners with normal hearing. The brain networks supporting speech understanding in listeners with cochlear implants are not well understood, partly due to difficulties obtaining functional neuroimaging data in this population. In the current study, we assessed the brain regions supporting spoken word understanding in adult listeners with right unilateral cochlear implants (n=20) and matched controls (n=18) using high-density diffuse optical tomography (HD-DOT), a quiet and non-invasive imaging modality with spatial resolution comparable to that of functional MRI. We found that while listening to spoken words in quiet, listeners with cochlear implants showed greater activity in the left dorsolateral prefrontal cortex, overlapping with functionally-defined domain-general processing seen in a spatial working memory task. These results suggest that listeners with cochlear implants require greater cognitive processing during speech understanding than listeners with normal hearing, supported by compensatory recruitment in the left dorsolateral prefrontal cortex.

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Improvements in Functional Diffuse Optical Tomography Maps by Global Motion Censoring Techniques

Cited by 5 publications

References 0 publications

Global motion detection and censoring in high‐density diffuse optical tomography

Global motion detection and censoring in high‐density diffuse optical tomography

The role of prefrontal cortex in a moral judgment task using functional near‐infrared spectroscopy

Prefrontal cortex supports speech perception in listeners with cochlear implants

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