WEKO3
アイテム
An approach for removing artifacts from resting state fMRI signals
https://doi.org/10.57314/00000816
https://doi.org/10.57314/00000816e88cfddd-6113-486b-806a-dc8d8dc5f3c6
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
pp.11-19 Yul-Wan Sung, Seiji Ogawa (677.0 kB)
|
.png)
|
| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2022-05-31 | |||||||||||||||||
| タイトル | ||||||||||||||||||
| タイトル | An approach for removing artifacts from resting state fMRI signals | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 言語 | ||||||||||||||||||
| 言語 | eng | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Resting state fMRI（rsfMRI） | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Regression | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Physical noise | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Physiological noise | |||||||||||||||||
| キーワード | ||||||||||||||||||
| 言語 | en | |||||||||||||||||
| 主題Scheme | Other | |||||||||||||||||
| 主題 | Intrinsic function | |||||||||||||||||
| 資源タイプ | ||||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||
| 資源タイプ | journal article | |||||||||||||||||
| ID登録 | ||||||||||||||||||
| ID登録 | 10.57314/00000816 | |||||||||||||||||
| ID登録タイプ | JaLC | |||||||||||||||||
| 著者 |
成, 烈完
× 成, 烈完
× 小川, 誠二
|
|||||||||||||||||
| 抄録 | ||||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||||
| 内容記述 | Resting state functional MRI（rsfMRI）is a promising method for investigating brain disorders because it is non-invasive and does not require task performance as in typical task-fMRI studies. Since rsfMRI first description, many studies on brain disorders have demonstrated its potential as a detection or diagnosis tool. However, most conclusions are based on group studies. Their application to individuals requires overcoming some challenges such as reducing physical and physiological noises. Several methods of noise reduction for rsfMRI have already been established but further noise reduction is required for an individual application of rsfMRI. Here we propose a new approach in which we restricted the MRI measurement environment to the MRI scanner and one subject, from which we generated a noise set that was subtracted from rsfMRI data acquired with the same MRI scanner or subject. The present preliminary study examined the validity of the proposed approach using data from a phantom model and a human subject. Noises from rsfMRI data were removed by regression of previously prepared noise signals. The resulting signal presented properties similar to band-pass filtered one, suggesting the efficacy of the approach. In the future, the approach potential will be assessed using with more human subjects. | |||||||||||||||||
| 言語 | en | |||||||||||||||||
| 書誌情報 |
ja : 感性福祉研究所年報 en : Report of Kansei Fukushi Research Institute 号 23, p. 11-19, 発行日 2022-03-31 |
|||||||||||||||||
| 出版者 | ||||||||||||||||||
| 出版者 | 東北福祉大学感性福祉研究所 | |||||||||||||||||
| 言語 | ja | |||||||||||||||||
| ISSN | ||||||||||||||||||
| 収録物識別子タイプ | PISSN | |||||||||||||||||
| 収録物識別子 | 1344-9966 | |||||||||||||||||
| 著者版フラグ | ||||||||||||||||||
| 出版タイプ | AM | |||||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||||||
