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 * [[maxintro|Introduction]] A common first step in analysing your data is to pre-processing them using the Maxfilter program. This Neuromag sofware implements "Signal-Space Separation" (SSS), which is a clever mathematical way to separate magnetic signals coming from within the brain (or more precisely, a sphere within the sensors) from those coming from outside the brain (or more precisely, from outside a sphere outside the sensors). Some PDFs that describe the SSS mathematics are here: Taulu_IEEE_05.pdf , Taulu_JAP_05.pdf , Taulu_PMB_06.pdf .

Maxfilter is essential if you have acquired your data using Maxshield (to remove the shielding effects). It is also helpful for 1) removing noise, particularly using its "temporal extension", 2) detecting bad channels, 3) realigning (interpolated) data after movement (provided you have used continuous HPI) and 4) moving the data to a standard space (e.g, across subjects).

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MaxFilter

A common first step in analysing your data is to pre-processing them using the Maxfilter program. This Neuromag sofware implements "Signal-Space Separation" (SSS), which is a clever mathematical way to separate magnetic signals coming from within the brain (or more precisely, a sphere within the sensors) from those coming from outside the brain (or more precisely, from outside a sphere outside the sensors). Some PDFs that describe the SSS mathematics are here: Taulu_IEEE_05.pdf , Taulu_JAP_05.pdf , Taulu_PMB_06.pdf .

Maxfilter is essential if you have acquired your data using Maxshield (to remove the shielding effects). It is also helpful for 1) removing noise, particularly using its "temporal extension", 2) detecting bad channels, 3) realigning (interpolated) data after movement (provided you have used continuous HPI) and 4) moving the data to a standard space (e.g, across subjects).

CbuMeg: Maxfilter (last edited 2022-07-18 15:02:40 by OlafHauk)