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. Author manuscript; available in PMC: 2015 Dec 18.
Published in final edited form as: Int J Geriatr Psychiatry. 2015 Feb 17;30(10):1056–1067. doi: 10.1002/gps.4262

Table 2.

MRI image acquisition and processing

MRI Image Type T1-weighted Hi-Res DTI T2-weighted FLAIR T2-weighted rs-fMRI
Image Acquisition Slice Thickness 1 mm 3 mm 3 mm 3 mm 3 mm
Resolution 256×224 mm 128×128 mm 256×240 mm 256×224 mm 128×128 mm
Field of View 256×224 mm 256×256 mm 256×212 mm 256×224 mm 256×256 mm(a)
Repetition Time 2300 ms 5300 ms 9160 ms 3000 ms 2000 ms
Echo Time 3.43 ms 88 ms 88 ms 11/101 ms 34 ms
Inversion Time 900 ms 2500 ms 2500 ms 100 ms n/a
Flip Angle 90° 150° 150° 90°
Other axial plane axial plane axial plane axial plane axial plane; integrated parallel acquisition technique = 2; gradient-echo-planar imaging sequence
Image Processing (See Supplementary Table 1 for more details on feature acquisition using image processing) Refer to Wu et al., 2006 for processing pipeline. For more details on the modified version of this pipeline used for this study, see Supplementary Table 2. FMRIB Software Library (59) was used to preprocess images, acquire Mean Diffusivity (MD) and Fractional Anisotropy (FA) maps, and perform tractography. Refer to Wu et al., 2006 for the processing pipeline. Used for rs-fMRI preprocessing. CONN toolbox (60) was used to preprocess images, extract resting state signals, and performing Fisher transformed correlations between ROIs.
(a)

For the rs-fMRI images, the field of view did not fully cover the cerebellum for most subjects