[Eeglablist] Poor ICA Decomposition/Strange Scalp Maps

Mon Jul 19 12:32:19 PDT 2021

Hi all,

I am wondering if anyone can help give me some more information on a possible reason my  ICA decomposition is so poor. A picture of the first 35 scalp maps is linked below. This data was collected on a 128 channel system (BioSemi/ActiView System)

Current Pipeline:

  1.  Import, resample at 256Hz (collected at 512)
  2.  Re-Reference to Mastoid channels
  3.  Filter: highpass .03Hz, low pass 40Hz
  4.  Epoch to 1.2s epochs
  5.  Identify channels to interpolate and epochs to reject
  6.  Runica, component rejection

Picture: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.dropbox.com_s_h7y0r2dshcta2cu_Screen-2520Shot-25202021-2D07-2D14-2520at-252011.13.30-2520AM.png-3Fdl-3D0&d=DwIGaQ&c=-35OiAkTchMrZOngvJPOeA&r=kB5f6DjXkuOQpM1bq5OFA9kKiQyNm1p6x6e36h3EglE&m=UKJhquGPgJ-e9o2GfVHIU_WgNx1T9I_aX4zuqcDdQJE&s=2G80tUh3e0z2iW3K4iJipbqd6-0lGV4WYGNBSlG2U6Q&e= 
Are there any large errors here? I’ve never seen components like this. The data is a bit noisy but not worse than other data previously collected on this system. Any ideas?


Casey Nicastri
Clinical Research Assistant
Division of Cognitive and Behavioral Neurology
Center for Brain/Mind Medicine, Brigham and Women’s Hospital, Harvard Medical School

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