Harmonization of Multicenter Cortical Thickness Data by Linear Mixed Effect Model.
Frontiers in aging neuroscience(2022)
Abstract
Through comparison between the LME model-based w-score and existing methods and several classification tasks, we showed that the LME model-based w-score sufficiently corrects the center effects while preserving the disease effects from the dataset. We also showed that the preserved disease effects have a match with well-known disease atrophy patterns such as Alzheimer's disease or Parkinson's disease. Finally, through intrasubject comparison, we found that the difference between centers decreases in the LME model-based w-score compared with the raw cortical thickness and thus showed that our model well-harmonizes the data that are not used for the model training.
MoreTranslated text
Key words
Alzheimer’s disease,Parkinson’s disease,cortical thickness,linear mixed effect model,magnetic resonance imaging,multicenter data harmonization
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined