Computational protocol: Effects of Regular and Long-Acting Insulin on Cognition and Alzheimer’s Disease Biomarkers: A Pilot Clinical Trial

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Protocol publication

[…] Images were acquired on a 3.0 T Siemens Skyra (Siemens Healthcare GmbH, Erlangen, Germany) or 3.0 T Phllips Achieva MRI scanner (Koninklijke Philips N.V., Eindhoven, Netherlands). T1 anatomical images were obtained using a 3D volumetric MPRAGE sequence with isotropic resolution of 1.0 mm (For Siemens Skyra: TR = 2300 ms; TE = 2.9 8 ms; TI = 900 ms; FA = 9; 192 slices, and for Philips Achieva: TR = 5.42 ms; TE = 2.64; TI = 1000; FA = 8; 176 slices). Images were processed using Wake Forest’s automated processing pipeline that features distributed grid processing, automated error recovery, and data provenance []. T1 images were segmented into grey matter, white matter and CSF, normalized to Montreal Neurologic Imaging (MNI) space, and modulated with the Jacobian determinants of the warping procedure to generate volumetric tissue maps using the Dartel high-dimensional warping and the SPM8 [] new segment procedure, as implemented in the VBM8 toolbox (http://dbm.neuro.uni-jena.de/vbm.html). Region of interest (ROI)–based measures were generated using the automated anatomical labeling (AAL) atlas, as implemented in the wfu_pickatlas. […]

Pipeline specifications

Software tools SPM, AAL
Application Magnetic resonance imaging
Organisms Homo sapiens
Diseases Alzheimer Disease, Dementia