Difference between revisions of "AnalysisGuidelines"

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fiddist.py
fiddist.py
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
Nbdime for notebook version control (a jupyter interface for git)

Revision as of 15:01, 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)