Multimodal MRI Acquisition Protocol

MRI data were acquired using a 3-T Siemens Allegra head-only scanner with a Siemens standard head coil. High-resolution structural images (T1-weighted images) were acquired using Magnetization-Prepared Rapid Gradient-Echo sequence (37 (link)), with TR = 2 s, TE = 4.38 ms, voxel size 0.938 × 0.938 × 1, 176 slices, and 1 mm slice thickness. T2-weighted images (echo planar imaging sequence) were acquired with TR = 2s, TE = 30 ms, FOV 220 mm × 220 mm, voxel size = 3.4 mm × 3.4 mm × 4 mm, 32 slices, and 62 ms inter-slice time.

Free full text: Click here

Saleh S., Fluet G., Qiu Q., Merians A., Adamovich S.V, & Tunik E. (2017). Neural Patterns of Reorganization after Intensive Robot-Assisted Virtual Reality Therapy and Repetitive Task Practice in Patients with Chronic Stroke. Frontiers in Neurology, 8, 452.

Publication 2017

Allegra head-only scanner standard head coil

Allegra Echo Head

Corresponding Organization : Kessler Foundation

Other organizations : Rutgers, The State University of New Jersey, New Jersey Institute of Technology, Northeastern University

Top 5 similar protocols

Variable analysis

independent variables

Magnetic field strength (3-T)

dependent variables

Signal intensity in T1-weighted images
Signal intensity in T2-weighted images

control variables

Siemens Allegra head-only scanner
Siemens standard head coil
Magnetization-Prepared Rapid Gradient-Echo sequence parameters (TR = 2 s, TE = 4.38 ms, voxel size 0.938 × 0.938 × 1, 176 slices, and 1 mm slice thickness)
T2-weighted image sequence parameters (TR = 2s, TE = 30 ms, FOV 220 mm × 220 mm, voxel size = 3.4 mm × 3.4 mm × 4 mm, 32 slices, and 62 ms inter-slice time)

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.

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?

Revolutionizing how scientists
search and build protocols!