標題: Anatomic Differences between Parkinson\'s Disease and Essential Tremor Using ICA-based Brain Morphometry
作者: Duann, Jeng-Ren
Lin, Ching-Hung
Chen, Chun-Min
Lu, Ming-Kuei
Tsai, Chon-Haw
Chiou, Jin-Chern
電機工程學系
Department of Electrical and Computer Engineering
公開日期: 2013
摘要: This study used independent component analysis (ICA) to decompose the surrogate image data by concatenating in space multiple subjects\' anatomical images after spatial normalization and smoothing to make all images in the same space. The multiple-subject anatomical image data included three different subject/patient populations, namely the Parkinson\'s disease (PD) and essential tremor (ET) as well as age-matched normal control (NC) subjects. In so doing, we were to extract the independent components showing significant group differences caused by the morphometric changes due to the neurological diseases. Such an independent component-based morphometry (ICBM) applied to both the grouped gray-matter and white-matter image data could be used to successfully reveal the brain areas within the gray and white matters showing significant group differences. In gray matter, we found a majority of basal ganglia brain areas associated with NC > PD, which well represented the causes of PD reported in the literature. In addition, the ICBM also found the brain areas of right superior temporal gyrus, right angular gyrus (BA 39), right inferior temporal gyrus, and left middle temporal gyrus (BA 37) associated with NC > ET. On the other hand, a more complicated patterns were found in the white matter associated with PD > ET and ET > PD conditions.
URI: http://hdl.handle.net/11536/135394
ISBN: 978-1-4673-1969-0
ISSN: 1948-3546
期刊: 2013 6TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER)
起始頁: 573
結束頁: 576
顯示於類別:會議論文