Preparing fMRI Data for Statistical Analysis
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arXiv
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866911311663726592 |
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| author | Nieto-Castanon, Alfonso |
| author_facet | Nieto-Castanon, Alfonso |
| contents | This chapter describes several procedures used to prepare fMRI data for statistical analyses. It includes the description of common preprocessing steps, such as spatial realignment, coregistration, and spatial normalization, aimed at the spatial alignment of all fMRI data within- and between- subjects, as well as several denoising procedures aimed at minimizing the impact of common noise sources, including physiological and residual subject motion effects, on the BOLD signal time series. The chapter ends with a description of quality control procedures recommended for detecting potential problems in the fMRI data and evaluating its suitability for subsequent statistical analyses. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2210_13564 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Preparing fMRI Data for Statistical Analysis Nieto-Castanon, Alfonso Quantitative Methods Neurons and Cognition This chapter describes several procedures used to prepare fMRI data for statistical analyses. It includes the description of common preprocessing steps, such as spatial realignment, coregistration, and spatial normalization, aimed at the spatial alignment of all fMRI data within- and between- subjects, as well as several denoising procedures aimed at minimizing the impact of common noise sources, including physiological and residual subject motion effects, on the BOLD signal time series. The chapter ends with a description of quality control procedures recommended for detecting potential problems in the fMRI data and evaluating its suitability for subsequent statistical analyses. |
| title | Preparing fMRI Data for Statistical Analysis |
| topic | Quantitative Methods Neurons and Cognition |
| url | https://arxiv.org/abs/2210.13564 |