Stefan J. Blaschke b41bc74cf6 [DATALAD] Recorded changes | 1 год назад | |
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LICENSE | 1 год назад | |
README.md | 1 год назад | |
calculateFD.asv | 1 год назад | |
calculateFD.m | 1 год назад | |
calculateQCmeasures.m | 1 год назад | |
createMontage.m | 1 год назад | |
detrend4D.m | 1 год назад | |
displayMaskContour.m | 1 год назад | |
example_html_output.html | 1 год назад | |
mask_contour.png | 1 год назад | |
mean_epi.png | 1 год назад | |
standardPreproc.m | 1 год назад | |
stddev_epi.png | 1 год назад | |
timeseries_summary.png | 1 год назад | |
tsnr_brain.png | 1 год назад | |
tsnr_whole.png | 1 год назад |
A set of Matlab and SPM12 scripts to compute several quality metrics and visualizations for fMRI datasets. Influenced by the PCP-QAP and MRIQC.
NOTE: THIS TOOL IS UNDER CONTINUOUS DEVELOPMENT AND HAS NOT BEEN SUFFCIENTLY TESTED
Function to calculate multiple quality control measures for an fMRI time series using SPM12 and Matlab. The goal is to create a tool, for use by fMRI technicians/researchers/clinicians familiar with SPM12 and Matlab, that allows the calculation of measures that can assist in diagnosing quality issues in fMRI data. It is not intended for use as ground truth for quality diagnosis, as these measures are known to be relative and to vary based on scanner site, acquisition time, data format, and more. However, it can provide insight into possible data quality issues originating from the scanner or single subject.
Function steps include preprocessing the acquired fMRI and structural data (coregistering structural image to first functional image, segmenting the coregistered structural image into tissue types, and reslicing the segments to the functional resolution image grid), and calling functions for a standard set of QC measures based on various sources (mainly including the Quality Assessment Protocol (QAP) from the Preprocessed Connectomes Project (PCP) and MRIQC. This function makes use of SPM12 functions and batch routines. If SPM12 batch parameters are not explicitly set, defaults are assumed.
CURRENT QC MEASURES (27/06/2018):
INPUT:
OUTPUT:
SOURCES:
datacite.yml | |
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Title | Longitudinal MRI data (T2w and rs-fMRI) after cortical stroke and cathodal transcranial direct current stimulation (tDCS) in mice |
Authors |
Blaschke,Stefan;University Hospital Cologne;ORCID:0000-0001-8643-3824
Rueger,Maria Adele;University Hospital Cologne;ORCID:0000-0001-8036-395X |
Description | 'Longitudinal T2-weighted MRI, rs-fMRI and behavorial data (baseline and up to 4 weeks after stroke) in the photothrombosis model and transcranial direct current stimulation (cathodal tDCS) in mice' |
License | CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) |
References |
Blaschke SJ, Vlachakis S, Pallast N, Walter HL, Volz LJ, Wiedermann D, Fink GR, Hoehn M, Aswendt M, Schroeter M, Rueger MA. Transcranial Direct Current Stimulation Reverses Stroke-Induced Network Alterations in Mice. Stroke. 2023 Jun 28. doi: 10.1161/STROKEAHA.123.042808 [doi:10.1161/STROKEAHA.123.042808] (IsSupplementTo)
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Funding |
DFG, 431549029–SFB 1451
Marga und Walter Boll Stiftung, #210/10/15 |
Keywords |
ischemia
brain magnetic resonance imaging mice transcranial direct currrent stimulation functional connectivity motor recovery |
Resource Type |
Dataset |