<span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; background-color: rgb(255, 255, 255); ">Hi everyone, <div><br></div></span><span class="Apple-style-span" style="font-family: arial, sans-serif; font-size: 13px; background-color: rgb(255, 255, 255); ">I am trying extract the sources from a series of functional-anatomical rois for frequency analysis, but am having some trouble getting good quality data. I'm using mne_compute_raw_inverse to extract the data before loading it into matlab. </span><div>
<font class="Apple-style-span" face="arial, sans-serif"><br></font></div><div><font class="Apple-style-span" face="arial, sans-serif">Subjects completed an object recognition task during recording. To check the quality of the extracted data, I've been averaging the timecourses in an early visual ROI across all vertices and visualizing the evoked response. For some of the subjects (e.g., S003-a, attached), the evoked response looks normal. The evoked response for many subjects, however, looks like senseless noise (S007-a) or shows an unexpected negative deflection (S010-a). </font></div>
<div><font class="Apple-style-span" face="arial, sans-serif"><br></font></div><div><font class="Apple-style-span" face="arial, sans-serif">I don't think these problems are solely due to the labels I've drawn, or to the intrinsic quality of the raw data. This is because when I average the raw data for each subject using mne_process_raw, and then view the average of the vertices inside the same ROIs using mne_analyze, the evoked responses all look as expected, often very different from the averages produced from my mne_compute_raw_inverse pipeline (see S007-b and S010-b).</font></div>
<div><font class="Apple-style-span" face="arial, sans-serif"><br></font></div><div><font class="Apple-style-span" face="arial, sans-serif">Does anyone have an idea what the problem might be? Are there any special considerations to take in account when using mne_compute_raw_inverse to extract sources from ROIs? Why might the label averages using the two different methods described look so different?</font></div>
<div><font class="Apple-style-span" face="arial, sans-serif"><br></font></div><div><font class="Apple-style-span" face="arial, sans-serif">Thanks in advance for any help,</font></div><div><font class="Apple-style-span" face="arial, sans-serif"><br>
</font></div><div><font class="Apple-style-span" face="arial, sans-serif">Matt</font></div><div><font class="Apple-style-span" face="arial, sans-serif"><br></font></div><div><font class="Apple-style-span" face="arial, sans-serif"><br>
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