Images were acquired at each study site, and then transferred to Albert Einstein College of Medicine (Bronx, NY) for centralized/harmonized processing. Images were acquired with a Philips 3T MRI scanner (Achieva Quasar TX; Philips Medical Systems, Best, Netherlands) in CCMA, a General Electric (GE) 1.5 T MRI scanner (GE LX Horizon, Milwaukee, WI) in TASCOG, a Siemens 1.5T MRI scanner (Magnetom Avanto; Siemens Medical Solutions, Erlangen, Germany) in GAIT, and a Siemens 3T MRI scanner (TIM Trio, Siemens, Germany) in NCGG-SGS. Standard three-dimensional T1-weighted images were obtained from all cohorts: 1) CCMA: TR/TE of 9.9/4.6 ms, 240 mm2 FOV, and 1 mm voxel size (for additional details, see [41 (link)]), 2) TASCOG: TR/TE of 37/7 ms, 240 mm2 FOV, and 1 mm voxel size [42 (link)], 3) GAIT: TR/TE 2170/4.07 ms, 240 mm2 mm FOV, and 1 mm voxel size [26 (link)], and 4) NCGG-SGS: TR/TE of 1.98/1800 ms and 1.1 mm voxel size [45 (link)].
Protocol detail
Harmonized Neuroimaging Acquisition Across Cohorts
Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link:
Access Free Full Text.
Electric
Medicine
Ms 1800
Trio
Corresponding Organization : Albert Einstein College of Medicine
Other organizations : University of Geneva, Jewish General Hospital, McGill University, Monash University, University of Tasmania, National Center for Geriatrics and Gerontology
Top 5 similar protocols
Variable analysis
independent variables
- MRI scanner type
- Three-dimensional T1-weighted images
- Voxel size (1 mm for all cohorts)
- Field of view (240 mm^2 for all cohorts)
- Acquisition parameters (TR/TE) for each cohort
Annotations
Based on most similar protocols
Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.
Sign up for free or login to display all annotations
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!