Abstract. Test-retest reliability of neuroimaging measurements is an important concern in the investigation of cognitive functions in the human brain. To date, intraclass correlation coefficients (ICCs), originally used in interrater reliability studies in behavioral sciences, have become commonly used metrics in reliability studies on neuroimaging and functional near-infrared spectroscopy (fNIRS). However, as there are six popular forms of ICC, the adequateness of the comprehensive understanding of ICCs will affect how one may appropriately select, use, and interpret ICCs toward a reliability study. We first offer a brief review and tutorial on the statistical rationale of ICCs, including their underlying analysis of variance models and technical definitions, in the context of assessment on intertest reliability. Second, we provide general guidelines on the selection and interpretation of ICCs. Third, we illustrate the proposed approach by using an actual research study to assess intertest reliability of fNIRS-based, volumetric diffuse optical tomography of brain activities stimulated by a risk decision-making protocol. Last, special issues that may arise in reliability assessment using ICCs are discussed and solutions are suggested.
Background:
The safe transition of children with complex medical conditions who are dependent on technology from hospital to home requires that caregivers receive specialized training from qualified health care professionals. Inadequate caregiver training can lead to discharge delays and hospital readmissions, often resulting in caregiver distress.
Objective:
To determine the effectiveness of a structured boot camp–style predischarge training program for caregivers of pediatric patients with complex medical conditions.
Methods:
We conducted a quasi-experimental interventional study to compare outcomes before and after implementation of the training program, which involved 34 caregivers. Pre–boot camp data were collected retrospectively from the medical records of 34 control patients.
Results:
After program implementation, statistically significant decreases were found in mean unit length of stay (92 vs 60 days; P = .02), mean discharge training days (60 vs 16 days; P < .001), and median total parental stress score, expressed as a percentile (49 vs 45; P < .001). More than 90% of caregiver participants were very satisfied with the program. On the basis of minimal length of stay limits, cost savings were estimated at between $53 300 and $69 900 per patient.
Conclusion:
The results of this study indicate that the training program is a valuable tool to track and verify caregiver education, reduce hospital length of stay, increase caregiver satisfaction, decrease caregiver stress, and reduce medical costs.
Diffuse optical tomography (DOT) is a variant of functional near infrared spectroscopy and has the capability of mapping or reconstructing three dimensional (3D) hemodynamic changes due to brain activity. Common methods used in DOT image analysis to define brain activation have limitations because the selection of activation period is relatively subjective. General linear model (GLM)-based analysis can overcome this limitation. In this study, we combine the atlas-guided 3D DOT image reconstruction with GLM-based analysis (i.e., voxel-wise GLM analysis) to investigate the brain activity that is associated with risk decision-making processes. Risk decision-making is an important cognitive process and thus is an essential topic in the field of neuroscience. The Balloon Analog Risk Task (BART) is a valid experimental model and has been commonly used to assess human risk-taking actions and tendencies while facing risks. We have used the BART paradigm with a blocked design to investigate brain activations in the prefrontal and frontal cortical areas during decision-making from 37 human participants (22 males and 15 females). Voxel-wise GLM analysis was performed after a human brain atlas template and a depth compensation algorithm were combined to form atlas-guided DOT images. In this work, we wish to demonstrate the excellence of using voxel-wise GLM analysis with DOT to image and study cognitive functions in response to risk decision-making. Results have shown significant hemodynamic changes in the dorsal lateral prefrontal cortex (DLPFC) during the active-choice mode and a different activation pattern between genders; these findings correlate well with published literature in functional magnetic resonance imaging (fMRI) and fNIRS studies.
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