oxford spectroscopy analysis toolbox for  (MathWorks Inc)

Journal: Molecular Medicine

Article Title: Relationship between brain iron deposition and mitochondrial dysfunction in idiopathic Parkinson’s disease

doi: 10.1186/s10020-021-00426-9

Figure Lengend Snippet: Methodological approaches for the analysis of the multimodal neuroimaging data. In A , analyses of 31 P-MRSI measurements are summarized; in B , the approach on calculations of CNRs (as derived from SWI). Panel A.1 illustrates the voxel size and CSI grid placement (green) for 31 P-MRSI measurements in axial, coronal, and sagittal planes. In Panel A.II, the voxels of interest (VOIs) for subcortical brain regions are highlighted for each hemisphere (orange hatched). One exemplary 31 P-MRSI spectrum (white line) and the respective model line fit (red line) is shown in Panel A.III. The metabolites of relevance for this study are labeled in yellow. For the sake of readability, other peaks are not marked, as they were not of interest to the hypothesis of this study. In Panel B.I, an exemplary SWI image of one study participant in the axial plane is shown. In Panel B.II, we highlighted the reference ROI placement (blue circles) in the lateral ventricles by a magnified snippet (blue framework). 31P-MRSI 31 Phosphorus magnetic resonance spectroscopy imaging. ATP adenosine triphosphate, CSI chemical shift imaging, iP inorganic phosphate, PCr phosphocreatinine, ppm parts per million, ROI region of interest, SWI susceptibility-weighted imaging, VOI voxel of interest

Article Snippet: 31 P-MRSI spectra were fitted in the time domain using the well-established AMARES (advanced method for accurate, robust, and efficient spectral fitting) algorithm (Vanhamme et al. ) as implemented in the Oxford Spectroscopy Analysis toolbox (Purvis et al. ) (OXSA; https://github.com/oxsatoolbox/oxsa ) for Matlab ® .

Techniques: Derivative Assay, Labeling, Spectroscopy, Imaging

Journal: Molecular Medicine

Article Title: Relationship between brain iron deposition and mitochondrial dysfunction in idiopathic Parkinson’s disease

doi: 10.1186/s10020-021-00426-9

Figure Lengend Snippet: Hemispherical side differences for 31 P-MRSI measurements, normalized intensities (SWI), and volumetry (T1) of subcortical nuclei. Box plot diagrams are plotted with the median and the 95% confidence interval whiskers. */**/***/***: significance levels (*: P ≤ .05, **: P ≤ .01, ***: P ≤ .001; ****: P ≤ .0001). 31 P-MRSI : 31 Phosphorus magnetic resonance spectroscopy imaging. arb. units arbitrary units. ATP adenosine triphosphate, CNR contrast-to-noise ratio, iP inorganic phosphate, PCr phosphocreatinine, SWI susceptibility-weighted imaging

Article Snippet: 31 P-MRSI spectra were fitted in the time domain using the well-established AMARES (advanced method for accurate, robust, and efficient spectral fitting) algorithm (Vanhamme et al. ) as implemented in the Oxford Spectroscopy Analysis toolbox (Purvis et al. ) (OXSA; https://github.com/oxsatoolbox/oxsa ) for Matlab ® .

Techniques: Spectroscopy, Imaging

Journal: Molecular Medicine

Article Title: Relationship between brain iron deposition and mitochondrial dysfunction in idiopathic Parkinson’s disease

doi: 10.1186/s10020-021-00426-9

Figure Lengend Snippet: Heatmap for the correlation analyses of demographic, clinical, and neuroimaging data. Presented are Pearson’s correlation coefficients (thresholded with a p-value of > .05) as exploratory analyses (color-coded for negative and positive coefficients, see right scale). 31 P-MRSI: 31 Phosphorus magnetic resonance spectroscopy imaging. CNR contrast-to-noise ratio, LEDD levodopa equivalent daily dosage, MDS-UPDRS Movement Disorders Society Unified Parkinson’s Disease Rating Scale, SWI susceptibility-weighted imaging

Article Snippet: 31 P-MRSI spectra were fitted in the time domain using the well-established AMARES (advanced method for accurate, robust, and efficient spectral fitting) algorithm (Vanhamme et al. ) as implemented in the Oxford Spectroscopy Analysis toolbox (Purvis et al. ) (OXSA; https://github.com/oxsatoolbox/oxsa ) for Matlab ® .

Techniques: Spectroscopy, Imaging