[Eeglablist] Data Interpretation

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Mon Aug 30 09:44:18 PDT 2021

Dear Chanda,

Here is my initial impression.

   1. The horizontal red and blue in the top-right plot indicates the data
   is not high-pass filtered well. This is not very ideal for ICA.
   2. The scalp topography shown in the top left plot indicates this
   independent component (IC) most likely represents eye-related activity, but
   see below.
   3. The bottom power spectral density (PSD) plot shows a good 1/f curve,
   which indicates this IC does not contain much electromyogram (EMG). Because
   the top right plot does not show blink- or saccade-related activity, I
   guess this data was recorded during eyes closed resting? There is a
   possibility that this IC 1 reflects some frontal EEG activity, but
   ICLabel() algorithm would say this is electrooculogram (EOG).
   4. The PSD plot has low resolution--is the sampling rate high (500 or
   1000 Hz?)


On Sun, Aug 29, 2021 at 10:25 AM Chanda Steven via eeglablist <
eeglablist at sccn.ucsd.edu> wrote:

> Dear All,
> I am very new to quantitative EEG time series preprocessing, I wanted to
> ask how to interpret the data in the link attached continuous data figure
> and activity power spectrum figure?
> https://urldefense.proofpoint.com/v2/url?u=https-3A__ibb.co_V2NsktP&d=DwIBaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=2lr9fZ_4eOkK7zYBE3qmXrbzIxsTZTpS0-qcDiXyISg&s=ktuKP12B-wxOa2OFXopJBPo31njfHatqTyWKeQ9Gw-I&e=
> Thank You,
> Chanda Simfukwe.
> --
> Chanda Simfukwe
> Ph.D. Candidate
> Artificial Intelligence and Data Science,
> Chung-Ang University Dept. Medicine,
> The Korea Republic of.
> ..........................................
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