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Dergiler / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 2019 / Volume: 61 Issue: 2

PREPROCESSING STEPS IN fMRI: SMOOTHING

Hacer Daşgın0000-0003-4372-1134
Ali Yaman0000-0002-6859-762X
Yılmaz Akdi0000-0003-0188-0970
Sayfa
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Yayın Tarihi
2019-12-01
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The effects of these two applications on the mapping results were compared for selected slices and locations in terms of statistical and pattern.

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Amaç & Hipotez:Functional magnetic resonance imaging is a technique with a primary and dominant effect in the investigation of the cognitive functions of the brain since it has a complex structure.
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Temel Bulgular & Veri:Spatial smoothing was performed using a 3 mm Gaussian kernel which is twice of the voxel size.
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Sonuç & Katkı:The effects of these two applications on the mapping results were compared for selected slices and locations in terms of statistical and pattern.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Statistical parametric mapping (SPM) · functional magnetic resonance imaging (fMRI) · Gaussian kernel

Abstract

Functional magnetic resonance imaging is a technique with a primary and dominant effect in the investigation of the cognitive functions of the brain since it has a complex structure. In this study, data obtained from single subject was examined. First statistical parametric mapping results were obtained after applying the standard preprocessing steps with including smoothness. Spatial smoothing was performed using a 3 mm Gaussian kernel which is twice of the voxel size. Second, statistical parametric mapping results were obtained with applying standard preprocessing steps without smoothing. The effects of these two applications on the mapping results were compared for selected slices and locations in terms of statistical and pattern.

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Bu Makaleye Atıf Yap

Daşgın, H., Yaman, A., Akdi, Y. (2019). PREPROCESSING STEPS IN fMRI: SMOOTHING. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Volume: 61 Issue: 2. https://doi.org/10.33769/aupse.633838

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Kaynakça (11)

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