A custom MR-compatible dataglove for fMRI of the human motor cortex at 7T

被引：0

作者：

Hodono, Shota ^{[1
]}

Jin, Jin ^{[2
]}

Zimmermann, Jan ^{[3
]}

Maillet, Donald ^{[1
]}

Reutens, David ^{[1
]}

Cloos, Martijn A. ^{[1
]}

机构：

[1] Univ Queensland, Ctr Adv Imaging, St Lucia, Qld 4072, Australia

[2] Siemens Healthcare Ply Ltd Brisbane, Brisbane, Qld, Australia

[3] Univ Minnesota, Ctr Magnet Resonance Res, Minneapolis, MN 55455 USA

来源：

2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC | 2023年

基金：

澳大利亚研究理事会;

关键词：

D O I：

10.1109/EMBC40787.2023.10341187

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a custom-built MR-compatible data glove to capture hand motion during concurrent fMRI experiments at 7 Tesla. Thermal and phantom tests showed our data glove can be used safely and without degradation of image quality. Subject-specific Blood Oxygen Level Dependent (BOLD) signal models, for use in fMRI analysis, were constructed based on recorded kinematic measurements. Experiments revealed the relative fMRI BOLD signal contribution of flexing, extending, and sustained isotonic extension. The ability to evaluate subject performance in real-time and create subject-specific BOLD signal models enables a wide range of experimental paradigms with improved data quality.

引用

页数：4

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