cortical_thickness
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cortical_thickness [2017/08/04 18:40] mpenrod Added information on ROI analysis, correlational analysis, and lme analysis |
cortical_thickness [2017/08/04 18:47] mpenrod |
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| - Unless otherwise specified, the third column will be considered the time variable. Therefore, it is encouraged to default to that organization in order to avoid unexpected confounds. | - Unless otherwise specified, the third column will be considered the time variable. Therefore, it is encouraged to default to that organization in order to avoid unexpected confounds. | ||
| - The following columns can contain any relevant data, including behavioral measures, which can be used for further analysis, e.g. correlational | - The following columns can contain any relevant data, including behavioral measures, which can be used for further analysis, e.g. correlational | ||
| - | Because for some analyses data is numerically sorted using information from the qdec file, one version of the file should represent subjects' time-points and base templates strictly numerically. However, an original file should be kept which lists subjects time-points and base templates so they correspond with the file name, which contains the data for that/those time-point(s). | + | Because for some analyses data is numerically sorted using information from the qdec file, one version of the file should represent subjects' time-points and base templates strictly numerically. However, an original file should be kept which lists subjects time-points and base templates so they accurately correspond with a file name, which contains the data for that/those time-point(s). |
| ===Pre-processing pt. 2=== | ===Pre-processing pt. 2=== | ||
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| The linear mixed effects model can be used to statistically analyze ROIs found through other forms of analysis. However, it is also possible to use the model to identify regions of interest, based on the significance of their change over time. The function ''lme_whole_brain_analysis'' uses information from ''long_prepare_LME.m'' and analyzes the longitudinal change in each vertex of the brain across time. The output is a collection of significance files which can be mapped onto the cortical surface for visualization in freeview or used for ROI analysis. | The linear mixed effects model can be used to statistically analyze ROIs found through other forms of analysis. However, it is also possible to use the model to identify regions of interest, based on the significance of their change over time. The function ''lme_whole_brain_analysis'' uses information from ''long_prepare_LME.m'' and analyzes the longitudinal change in each vertex of the brain across time. The output is a collection of significance files which can be mapped onto the cortical surface for visualization in freeview or used for ROI analysis. | ||
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| + | //Note//: As there are tens of thousands of vertices to be analyzed, the whole brain analysis will take anywhere from 4-12 hours depending on the number of time-points as well as the complexity of the hypothesis. | ||
| ===ROI Analysis=== | ===ROI Analysis=== | ||
cortical_thickness.txt ยท Last modified: 2017/08/04 18:58 by mpenrod
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