A study-specific fMRI normalization approach that operates directly on high resolution functional EPI data at 7 Tesla

Due to the availability of ultra-high field scanners and novel imaging methods, high resolution, whole brain functional MR imaging (fMRI) has become increasingly feasible. However, it is common to use extensive spatial smoothing to account for inter-subject anatomical variation when pooling over sub...

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Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2014-10, Vol.100, p.710-714
Hauptverfasser: Grabner, Günther, Poser, Benedikt A, Fujimoto, Kyoko, Polimeni, Jonathan R, Wald, Lawrence L, Trattnig, Siegfried, Toni, Ivan, Barth, Markus
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container_issue
container_start_page 710
container_title NeuroImage (Orlando, Fla.)
container_volume 100
creator Grabner, Günther
Poser, Benedikt A
Fujimoto, Kyoko
Polimeni, Jonathan R
Wald, Lawrence L
Trattnig, Siegfried
Toni, Ivan
Barth, Markus
description Due to the availability of ultra-high field scanners and novel imaging methods, high resolution, whole brain functional MR imaging (fMRI) has become increasingly feasible. However, it is common to use extensive spatial smoothing to account for inter-subject anatomical variation when pooling over subjects. This reduces the spatial details of group level functional activation considerably, even when the original data was acquired with high resolution. In our study we used an accelerated 3D EPI sequence at 7 Tesla to acquire whole brain fMRI data with an isotropic spatial resolution of 1.1mm which shows clear gray/white matter contrast due to the stronger T1 weighting of 3D EPI. To benefit from the high spatial resolution on the group level, we develop a study specific, high resolution anatomical template which is facilitated by the good anatomical contrast that is present in the average functional EPI images. Different template generations with increasing accuracy were created by using a hierarchical linear and stepwise non-linear registration approach. As the template is based on the functional data themselves no additional co-registration step with the usual T1-weighted anatomical data is necessary which eliminates a potential source of misalignment. To test the improvement of functional localization and spatial details we performed a group level analysis of a finger tapping experiment in eight subjects. The most accurate template shows better spatial localization--such as a separation of somatosensory and motor areas and of single digit activation--compared to the simple linear registration. The number of activated voxels is increased by a factor of 1.2, 2.5, and 3.1 for somatosensory, supplementary motor area, and dentate nucleus, respectively, for the functional contrast between left versus right hand. Similarly, the number of activated voxels is increased 1.4- and 2.4-fold for right little versus right index finger and left little versus left index finger, respectively. The Euclidian distance between the activation (center of gravity) of the respective fingers was found to be 13.90 mm using the most accurate template.
doi_str_mv 10.1016/j.neuroimage.2014.06.045
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source MEDLINE; Access via ScienceDirect (Elsevier); ProQuest Central UK/Ireland
subjects Adult
Brain Mapping - instrumentation
Brain Mapping - methods
Cerebral Cortex - physiology
Data Interpretation, Statistical
Echo-Planar Imaging - instrumentation
Echo-Planar Imaging - methods
Humans
Image Processing, Computer-Assisted - methods
Magnetic Resonance Imaging - instrumentation
Magnetic Resonance Imaging - methods
Psychomotor Performance - physiology
title A study-specific fMRI normalization approach that operates directly on high resolution functional EPI data at 7 Tesla
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