Spatial normalization for voxel-based lesion symptom mapping: impact of registration approaches.

Daniel JühlingDeepthi RajashekarBastian ChengClaus Christian HilgetagNils Daniel ForkertRene Werner

Published in: Frontiers in neuroscience (2024)

For VLSM study designs and imaging data similar to the present work, an additional benefit of nonlinear registration variants for spatial normalization seems questionable. Related distortions in the normalized images lead to uncertainties in the VLSM analyses and may offset the theoretical benefits of nonlinear registration.

Keyphrases

high resolution
deep learning
electronic health record
big data
convolutional neural network
optical coherence tomography
machine learning
gene expression
mass spectrometry
data analysis