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Mini Dragon Group (ages 6-7)

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Dm Toolbox V0.3.epub


Raw EDA data was processed with MATLAB R2020b (The MathWorks, Inc., Natick, Massachusetts, USA) using the Ledalab-toolbox V3.4.9 (www.ledalab.de) through continuous decomposition analysis (CDA) to decompose the skin conductance data into its phasic (SCR) and tonic (SCL) components [41]. The CDA method can be applied to full-length data which provides a complete decomposition model of the original data. All mathematical models of CDA are based on a physiological rationale to avoid underestimation biases due to overlapping responses. However, the integrated skin conductance response (ISCR), defined as the area (time integral) of the phasic component within the response window, reflects the phasic EDA response to a given event or stimulus. It equals SCR multiplied by the size of the response window [Microsiemens (\(\mathrm\mu S)*\mathrmseconds(\mathrms\))]. The detection threshold for significant peaks was set to 0.01 \(\mathrm\mu S\) as recommended by the Society for Psychophysiological Research [18]. To prevent the common skewed distribution of electrodermal response measures, the standardized ISCR was computed as [41]:




Dm Toolbox V0.3.epub



Methods: Using 6-minute resting-state functional MRI, we compared PAG-FC between 32 TTH subjects (23 females), during pain-free state and 32 healthy controls (21 females) using Statistical Parametric Mapping (SPM12) toolbox in MATLAB.


Methods: Exploratory case-control study. High-resolution brain resting-state functional Magnetic Resonance Imaging data were acquired in patients with persistent headache after COVID-19 infection and healthy controls (HC). CONN toolbox (version 17) was employed to assess the resting-state functional connectivity between 84 cortical and subcortical gray matter regions of interest. Significant results were considered with p


All MRI scans will undergo quality checks and will be evaluated quantitatively using state-of-the-art brain MRI software packages and toolboxes implemented in Statistical Parametric Mapping (SPM, Wellcome Department of Imaging Neuroscience), FSL (FMRIB Software Library, Oxford, UK), and FreeSurfer (Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, USA). Structural MRI scans will be used to examine the integrity of cerebral gray and white matter tissues, including assessments of volume, thickness, microstructure, and high-resolution volumetric quantification of medial-temporal structures [71]. Functional scans will be analyzed to assess brain activation patterns during the associative memory task as well as CBF maps and functional connectivity at rest.


The FBB PET scans will be processed using an automated pipeline based on the routines of the SPM software package, implemented in a MATLAB environment (Mathworks, Inc., Nattick, MA, USA). For each PET scan, intra-PET motion correction, construction of static standardized uptake value (SUV) images, and correction for partial volume effects using the Müller-Gärtner method [77] as implemented in the PETPVE12 toolbox [78] will be performed. Intensity scaling using the cerebellar cortex as reference region [79] will be applied to obtain standardized uptake value ratio (SUVr) images. Neocortical Aβ-plaques burden will be evaluated as the average FBB SUVr within a predefined composite of cortical regions-of-interest [76]. In addition, exploratory voxel-by-voxel analyses will be performed on the FBB SUVr images. 350c69d7ab


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