Interactive Brain Activation for fMRI Data

Q: お住まいの国では利用できないInteractive Brain Activation for fMRI Dataをダウンロードしたい時にはどうすればいい？

<a href="https://apkpure.com/howto/how-to-download-an-iphone-app-if-it-is-not-available-in-your-country">ここ</a>をクリック！地理的に制限されているアプリのダウンロード方法をご参考ください。

無料

1.1for iPhone, iPad and more

King Abdullah University of Science and Technology

Developer

90.5MB

Size

2016年07月27日

Update Date

Education

Category

Age Rating

App Store 開発者ウェブサイト

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

Interactive Brain Activation for fMRI Data スクリーンショット

iPad

Interactive Brain Activation for fMRI Data ポスター

iPhone

About Interactive Brain Activation for fMRI Data

The app provides an interactive approach to visualize which areas of the brain are active in a subject that is performing a motor task. The differences between two p-value data sets are shown, one data set shows activated areas according to a traditional approach ("Independent"), and one with a new method proposed by scientists at KAUST and Newcastle University ("Space Time Model").

Green represent areas where the proposed Space Time Model produces lower p-values.
Red represents areas where the traditional method produces lower p-values.
White suggests the two model produce similar p-values.