数据分析

脑海科技数据分析服务之方案2

发布日期：2022-05-25 20:02　浏览次数：

Introduction

To improve the original ALFF approach, a ratio of the power of each frequency at the low-frequency range (0.01-0.08Hz) to that of the entire frequency range (0-0.25Hz), i.e., fractional ALFF (fALFF) was used. (Zou et al., 2008)
After the linear trend was removed, the time series for each voxel were transformed to a frequency domain without band-pass filtering. The square root was calculated at each frequency of the power spectrum. The sum of amplitude across 0.01-0.08Hz was divided by that across the entire frequency range, i.e., 0-0.25Hz. (Zou et al., 2008)

Process Stream

part 1

Data quality control

part 2

Preprocessing

1. Remove first N time points

2. Slice timing correction

3. Motion correction

4. Spatial normalization

5. Spatial smoothing

6. Detrend

7. Nuisance regression

Approach

fALFF (conventional) calculation

Statistical Analysis

Statistical modeling (group):

two-sample t-test/paired t-test…

Statistical inference (group):

FDR/GRF…

Correlation Analysis

fALFF and clinical variables

part 3

Reporting and visualizing

Example 1

（Zhou et al., 2020）

Example 2

（Yamamura et al., 2016）

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