Spatial Normalization of Brain Images with Focal Lesions Using Cost Function Masking

By Matthew Brett, Alexander P. Leff, C. Rorden, John Ashburner. NeuroImage, 2001

930 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/83be78ce0678d76e0c5d602d2694f452cb8ec22d

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Citations in the corpus

Decision-making processes following damage to the prefrontal cortex. (2002, methodology): “, 1995) with cost function masking (Brett et al., 2002) to mask the lesion from the calculation of the normalization parameters.”
Competition between functional brain networks mediates behavioral variability (2008, methodology): “We conducted functional connectivity analyses, seeding each RSN with the mean timeseries for a set of 270 mm3 spherical ROIs centered on the coordinates (converted to MNI space using tal2mni.m, Brett et al., 2001) for the major clusters of that RSN (Table 1).”
Handbook of Functional MRI Data Analysis: Index (2011, methodology): “The labels were transferred manually from the Brodmann’s map by Talairach, and even according to Talairach the mapping is uncertain (cf., Brett et al., 2002; Uylings et al., 2005).”
The resting brain: unconstrained yet reliable. (2009, neutral): “m (Brett et al. 2001).”
Neural correlates of motor recovery after stroke: a longitudinal fMRI study (2003, methodology): “This mask was then incorporated into the normalization step for all patients (Brett et al., 2001).”
The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity. (2005, methodology): “…realignment, spatial normalization of the functional images to a standard EPI template, masking regions of susceptibility artefact to reduce tissue distortion (Brett et al., 2001), and spatial smoothing using a Gaussian kernel of 12 mm, suitable for random-effects analysis (Xiong et al., 2000).”
Improving Lesion-Symptom Mapping (2007, methodology): “It is important to note that the presence of lesions will often disrupt automated normalization, and therefore it is typically worthwhile to employ a lesionmasked cost function (Brett et al., 2001).”
Age-specific CT and MRI templates for spatial normalization (2012, neutral): “Based on previous work (Brett et al., 2001; Crinion et al., 2007) we expected all nonlinear methods to outperform linear-only normalization.”
Functional potential in chronic stroke patients depends on corticospinal tract integrity. (2006, methodology): “Stroke lesions were masked by creating individual ROIs in MRIcro prior to spatial normalization of all images to the MNI template brain (Brett et al., 2001).”
Neural correlates of outcome after stroke: a cross-sectional fMRI study (2003, methodology): “This mask was then incorporated into the normalization step for all patients (Brett et al., 2001).”
Hierarchical Processing in Spoken Language Comprehension (2003, methodology): “…realignment, spatial normalization of the functional images to a standard EPI template (masking regions of susceptibility artifact to reduce tissue distortion) (Brett et al., 2001), and spatial smoothing using a Gaussian kernel of 12 mm, suitable for random-effects analysis (Xiong et al., 2000).”
Functions of the left superior frontal gyrus in humans: a lesion study. (2006, methodology): “To reduce lesion-induced registration errors, spatial normalization was performed using a mask that excluded the damaged areas of the brains from computing the cost function, thereby preventing these areas from biasing the transformation (Brett et al., 2001).”
Individual Differences in Reward Drive Predict Neural Responses to Images of Food (2006, methodology): “Masked normalization to a standard EPI template was performed using 2 mm isotropic voxels (Brett et al., 2001), and images were smoothed with a Gaussian kernel of 8 mm full-width half-maximum.”
Spatial normalization of lesioned brains: Performance evaluation and impact on fMRI analyses (2007, positive): “, 1999a) and led to the development of cost function masking (CFM) (Brett et al., 2001).”