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doi:10.1002/hbm.v2:4

Cited by 23 publications

(12 citation statements)

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“…First-level (single subject) and second-level (group) general linear model analyses were performed using SPM8 29 . Beta values (i.e., hemodynamic signal amplitude as fit to the hemodynamic response function) were projected into MNI standard brain space using linear interpolation.…”

Section: Methodsmentioning

confidence: 99%

Signal processing of functional NIRS data acquired during overt speaking

et al. 2017

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Abstract. Functional near-infrared spectroscopy (fNIRS) offers an advantage over traditional functional imaging methods [such as functional magnetic resonance imaging (fMRI)] by allowing participants to move and speak relatively freely. However, neuroimaging while actively speaking has proven to be particularly challenging due to the systemic artifacts that tend to be located in the critical brain areas. To overcome these limitations and enhance the utility of fNIRS, we describe methods for investigating cortical activity during spoken language tasks through refinement of deoxyhemoglobin (deoxyHb) signals with principal component analysis (PCA) spatial filtering to remove global components. We studied overt picture naming and compared oxyhemoglobin (oxyHb) and deoxyHb signals with and without global component removal using general linear model approaches. Activity in Broca's region and supplementary motor cortex was observed only when the filter was applied to the deoxyHb signal and was shown to be spatially comparable to fMRI data acquired using a similar task and to meta-analysis data. oxyHb signals did not yield expected activity in Broca's region with or without global component removal. This study demonstrates the utility of a PCA spatial filter on the deoxyHb signal in revealing neural activity related to a spoken language task and extends applications of fNIRS to natural and ecologically valid conditions. © The Authors.Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Methodsmentioning

confidence: 99%

Signal processing of functional NIRS data acquired during overt speaking

et al. 2017

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“…Functional image runs were motion corrected using an algorithm unbiased by local signal changes (INRIAlign; Freire & Mangin, 2001) as implemented in Statistical Parametric Mapping 5 (SPM5; Friston et al, 1994). All participants displayed head movement of less than 5 mm maximum displacement between volumes within a run.…”

Section: Image Processingmentioning

confidence: 99%

“…The mean EPI image was normalized to the EPI template. The spatial transformation into standard MNI space was determined using a tailored algorithm with both linear and nonlinear components (Friston et al, 1994). The normalization parameters determined for the mean functional volume were then applied to the corresponding functional image volumes for each participant.…”

Section: Image Processingmentioning

confidence: 99%

Up-regulation of neural indicators of empathic concern in an offender population

Arbuckle

Shane

2016

Social Neuroscience

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Empathic concern has traditionally been conceived of as a spontaneous reaction to others experiencing pain or distress. As such, the potential role of more deliberate control over empathic responses has frequently been overlooked. The present fMRI study evaluated the role of such deliberate control in empathic concern by examining the extent to which a sample of offenders recruited through probation/parole could voluntarily modulate their neural activity to another person in pain. Offenders were asked to either passively view pictures of other people in painful or non-painful situations, or to actively modulate their level of concern for the person in pain. During passive viewing of painful versus non-painful pictures, offenders showed minimal neural activity in regions previously linked to empathy for pain (e.g., dorsal anterior cingulate cortex and bilateral insula). However, when instructed to try to increase their concern for the person in pain, offenders demonstrated significant increases within these regions. These findings are consistent with recent theories of empathy as motivational in nature, and suggest that limitations in empathic concern may include a motivational component.

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“…The comparison software packages we used are SkullFinder, 15 the FMRIB Software Library (FSL) tools, 16 Freesurfer's mri_watershed, 17 and the Statistical Parameter Mapping 8 (SPM8) MATLAB toolbox. 18 In this work, we present a novel hybrid method to accurately segment all head tissues and compare this novel method to the publicly available packages.…”

Section: Introductionmentioning

confidence: 99%

T1 magnetic resonance imaging head segmentation for diffuse optical tomography and electroencephalography

Perdue

Diamond

2014

J. Biomed. Opt

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Abstract. Accurate segmentation of structural magnetic resonance images is critical for creating subject-specific forward models for functional neuroimaging source localization. In this work, we present an innovative segmentation algorithm that generates accurate head tissue layer thicknesses that are needed for diffuse optical tomography (DOT) data analysis. The presented algorithm is compared against other publicly available head segmentation methods. The proposed algorithm has a root mean square scalp thickness error of 1.60 mm, skull thickness error of 1.96 mm, and summed scalp and skull error of 1.49 mm. We also introduce a segmentation evaluation metric that evaluates the accuracy of tissue layer thicknesses in regions of the head where optodes are typically placed. The presented segmentation algorithm and evaluation metric are tools for improving the localization accuracy of neuroimaging with DOT, and also multimodal neuroimaging such as combined electroencephalography and DOT.

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Untitled

Cited by 23 publications

References 0 publications

Signal processing of functional NIRS data acquired during overt speaking

Signal processing of functional NIRS data acquired during overt speaking

Up-regulation of neural indicators of empathic concern in an offender population

T1 magnetic resonance imaging head segmentation for diffuse optical tomography and electroencephalography

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