[Eeglablist] Infant EEG signal preprocessing for frequency analysis

[Ghislaine Dehaene]

Dear Sahura
Apice is based on eeglab  and can be download here
https://urldefense.com/v3/__https://github.com/neurokidslab/eeg_preprocessing__;!!Mih3wA!BwMUOJhql08cy5ejvA-irbu4BnNPHN0ZQ6HGy_dqP5bBpO2BbXg4QBwX--0o_1lqBs-qmdT6mJ6BBLxtrHUbdg$ 

If you want advice and avoid pitfalls on analysing precise frequency bands
as you want to do or in the case of frequency tagging experiments in
infants you can read
 Remarks on the analysis of steady-state responses: Spurious artifacts
introduced by overlapping epochs
Lucas Benjamin et al. Cortex. 2021 Sep.

https://urldefense.com/v3/__https://www.sciencedirect.com/science/article/abs/pii/S0010945221002215?via*3Dihub__;JQ!!Mih3wA!BwMUOJhql08cy5ejvA-irbu4BnNPHN0ZQ6HGy_dqP5bBpO2BbXg4QBwX--0o_1lqBs-qmdT6mJ6BBLxtZv970w$ 

Best


Le ven. 20 janv. 2023 à 16:27, Velu Prabhakar Kumaravel <
velu.kumaravel at unitn.it> a écrit :

> Dear Sahura,
>
> The standard adult preprocessing pipelines might not be optimal for infant
> EEG for a wide range of reasons.
>
> Following are the preprocessing pipelines that I know of for infant EEG in
> the order of publishing year:
>
> 1) HAPPE
> <
> https://urldefense.com/v3/__https://www.frontiersin.org/articles/10.3389/fnins.2018.00097/full__;!!Mih3wA!H9Um50QoXB9aJPm48n9DEtAoPHS2BWBlF9blH6YwlJWuDRTFeUF0e341NeDu0K9Ui37MI8qXb7kpMGsW2hbXGoQt0w2eEpUB$
> > (2018)
> 2) MADE  <
> https://urldefense.com/v3/__https://onlinelibrary.wiley.com/doi/epdf/10.1111/psyp.13580__;!!Mih3wA!H9Um50QoXB9aJPm48n9DEtAoPHS2BWBlF9blH6YwlJWuDRTFeUF0e341NeDu0K9Ui37MI8qXb7kpMGsW2hbXGoQt06KXRj6D$
> >
>  (2020)
> 3) APICE
> <
> https://urldefense.com/v3/__https://www.sciencedirect.com/science/article/pii/S1878929322000214__;!!Mih3wA!H9Um50QoXB9aJPm48n9DEtAoPHS2BWBlF9blH6YwlJWuDRTFeUF0e341NeDu0K9Ui37MI8qXb7kpMGsW2hbXGoQt04iab3DX$
> >(2022)
> 4) NEAR
> <
> https://urldefense.com/v3/__https://www.sciencedirect.com/science/article/pii/S1878929322000123__;!!Mih3wA!H9Um50QoXB9aJPm48n9DEtAoPHS2BWBlF9blH6YwlJWuDRTFeUF0e341NeDu0K9Ui37MI8qXb7kpMGsW2hbXGoQt0xd-2MvM$
> >(2022)
>
> With your precious dataset, you could make a preliminary analysis to
> compare the pipelines to see which works best for you. Not sure of APICE,
> but for all other pipelines, EEGLAB-compatible source code is available
> online.
>
> Best of luck with your research.
>
> Regards,
>
> Velu Prabhakar Kumaravel, PhD Student
> Center for Mind/Brain Sciences,
> University of Trento, Italy
>
>
> On Fri, 20 Jan 2023 at 15:24, Sahura Ertuğrul <sahuraertugrul at gmail.com>
> wrote:
>
> > Dear all,
> >
> > We are trying to analyze alpha power for infant data, which was collected
> > at a 500 sampling rate, 2 min duration, and eyes open for two conditions.
> > From now on, I have used Butterworth bandpass filter [0.01 70],
> > cleanlinenoise [50 100 150 200 250], and removed baseline before pwelch
> > with 1 sec Hanning window, 50% overlapping to extract power spectrum.
> > Nevertheless, I have observed that filtering does not work properly for
> > infant data, especially the cleanlinenoise. Therefore, I have two
> > questions:
> >
> > - First, are there reliable preprocessing steps for infant data? We
> applied
> > exactly the same procedure with the adults.
> > - Secondly, is it also reliable to extract power spectrum without any
> > filtering, that is, run frequency analyses with raw data?
> >
> > It is my frequency analysis with real infant data and I am very unsure
> > about the steps I have applied. Your feedback and suggestions would be
> much
> > appreciated.
> >
> > Thank you very much for your time and help in advance,
> > Best regards,
> > Sahura Ertugrul
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