Difference between revisions of "AnalysisGuidelines"

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fiddist2.py - wrapper that accepts two inputs and provides the difference in distance (e.g. MRI and dataset)
 
fiddist2.py - wrapper that accepts two inputs and provides the difference in distance (e.g. MRI and dataset)
   
  +
Jupyter Notebook
+
Jupyter Notebook
 
Nbdime for notebook version control (a jupyter interface for git)
 
Nbdime for notebook version control (a jupyter interface for git)

Revision as of 15:02, 9 October 2019

UNDER CONSTRUCTION
Analysis Introduction
1) Anatomical Processing
2) MEG Trigger Configuration
3) MEG Inverse Solution (SAM software)
4) Statistical Analysis


Data collection: Exact timing of the experiment can be provided in the data acquisition or a set of smaller trials can be provided

CTF Software: DataEditor -data $DATA

thresholdDetect - Detect changes in the analog inputs to determine onset of stimulus addmarkers - necessary to embed the stimulus timing into the CTF dataset

parsemarks - Combines markers (i.e optical and

newDs -f -filter processing.cfg


Anatomy Processing: The MRI processing starts with anat+orig.BRIK and anat+orig.HEAD format. The datasets are opened using AFNI

fiddist.py fiddist2.py - wrapper that accepts two inputs and provides the difference in distance (e.g. MRI and dataset)


Jupyter Notebook Nbdime for notebook version control (a jupyter interface for git)