[Mne_analysis] Threshold connectivity matrix

Vivek Sharma vivek.sharma1510 at gmail.com
Thu Feb 28 04:18:21 EST 2019
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By significant connections I also mean the strongest connections. How to
keep a threshold to remove weak connections.

On Wed, Feb 27, 2019 at 11:08 AM Vivek Sharma <vivek.sharma1510 at gmail.com>
wrote:

> Dear Marijn,
> Its a single subject MEG data.
> By significant I mean, if you look at the figure in the following example:
>
> https://martinos.org/mne/stable/auto_examples/connectivity/plot_mne_inverse_label_connectivity.html#sphx-glr-auto-examples-connectivity-plot-mne-inverse-label-connectivity-py
> on lower right, it shows a bar that display the strength of those
> connections with values 0.4-0.6. When I plot for my data the bar displays
> values from 0.15-0.20 and shows the connections below 0.15 also. How can I
> restrict it to show only connections above 0.15?
>
> On Tue, Feb 26, 2019 at 6:17 PM Marijn van Vliet <w.m.vanvliet at gmail.com>
> wrote:
>
>>         External Email - Use Caution
>>
>> Dear Vivek,
>>
>> significant in what way? If you have multiple subjects, you can compute a
>> t-statistic for each connection. If you have multiple experimental
>> conditions, you can do a paired t-test between conditions…. Could you tell
>> us a bit more about the data?
>>
>> best,
>> Marijn.
>>
>> > On 26 Feb 2019, at 10:01, Vivek Sharma <vivek.sharma1510 at gmail.com>
>> wrote:
>> >
>> >         External Email - Use Caution
>> >
>> >
>> > I'm using the following example code to compute connectivity.
>> >
>> https://martinos.org/mne/stable/auto_examples/connectivity/plot_mne_inverse_label_connectivity.html#sphx-glr-auto-examples-connectivity-plot-mne-inverse-label-connectivity-py
>> >
>> > How can I apply statistical threshold to have only significant
>> connections?
>> >
>> > --
>> > Vivek Sharma
>> > _______________________________________________
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>>
>>
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>
>
>
> --
> Vivek Sharma
>


-- 
Vivek Sharma
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