[FieldTrip] ft_freqanalysis spitting out only NaNs

[Yvonne Visser]

Hi Jae,
Have you checked whether your input (data13 & data24) has NaNs in them already?
If that's not it, it might have to do with edge effects: the wavelet method is unable to transform all the way to the beginning/end of the window and leaves some NaNs around the edges. If the size of your wavelet is big (you set this with cfg.width & cfg.gwidth) and the data window is not very long, this could explain why you're getting NaNs. It can be helpful to generate a bigger data window in the step before ft_freqanalysis (e.g. in ft_definetrial set pre- and poststim wider than your window of interest to account for the edge effects).
Hope this helps, best of luck!
Yvonne

________________________________
From: fieldtrip <fieldtrip-bounces at science.ru.nl> on behalf of Jae Moon <jmoon at hollandbloorview.ca>
Sent: Monday, September 2, 2019 6:15 PM
To: fieldtrip at science.ru.nl <fieldtrip at science.ru.nl>
Subject: [FieldTrip] ft_freqanalysis spitting out only NaNs

Hi everyone,

I’m wondering if anyone has been confronted with the same issue of ft_freqanalysis spitting out only NaNs in the output. Here is the code I implemented:

cfg=[];
cfg.method    = 'wavelet';
cfg.output    = 'pow';
cfg.foilim = [1 60];

cfg.toi = [1:50:1200];
cfg.pad='nextpow2';
freq13=ft_freqanalysis(cfg,data13);
freq24=ft_freqanalysis(cfg,data24);

No matter what method I use or whichever output I use, I  keep getting NaNs, and therefore, my granger causality analysis only spits out NaNs as well.

Your help is very much appreciated!

Best,

Jae

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