Mitigating head motion artifact in functional connectivity MRI

The influence of head motion on intrinsic functional connectivity MRI

Functional connectivity MRI (fcMRI) has been widely applied to explore group and individual differences. A confounding factor is head motion. Children move more than adults, older adults more than younger adults, and patients more than controls. Head motion varies considerably among individuals within the same population. Here we explored the influence of head motion on fcMRI estimates. Mean he...

Head Motion and Correction Methods in Resting-state Functional MRI

Resting-state functional magnetic resonance imaging (RS-fMRI) is used to investigate brain functional connectivity at rest. However, noise from human physiological motion is an unresolved problem associated with this technique. Following the unexpected previous result that group differences in head motion between control and patient groups caused group differences in the resting-state network w...

Functional connectivity MR imaging: fact or artifact?

Benchmarking confound regression strategies for the control of motion artifact in studies of functional connectivity

Since initial reports regarding the impact of motion artifact on measures of functional connectivity, there has been a proliferation of confound regression methods to limit its impact. However, recent techniques have not been systematically evaluated using consistent outcome measures. Here, we provide a systematic evaluation of 12 commonly used confound regression methods in 193 young adults. S...

Motion Artifact Suppression in Mri Using Registration of Segmented Acquisitions

The elimination of motion artifacts in magnetic resonance imaging is a necessary part of its application in many areas. In this work, a general model for the origin of motion artifacts is developed and techniques based on the areas of signal processing, phase-space analysis and registration are utilized to solve this problem. Invariant tissue feature maps are generated from sub-band images that...