[Mne_analysis] Head movement correction as a pre-processing step

[qiongz at andrew.cmu.edu]

Hi Mainak,

You're right. Section 2.4 has the details. Thanks so much for the
information. It is really helpful.

Best,
Qiong

On Mon, May 1, 2017 at 1:26 PM, Mainak Jas <mainakjas at gmail.com> wrote:

> Hi Qiong,
>
> `mne_map_data` uses Minimum Norm Estimate. You project your data onto a
> sphere and project it back to the new sensor locations. Actually, you
> should be able to find the Mathematical details in Matti's 1994 paper:
> http://link.springer.com/article/10.1007%2FBF02512476?LI=true.
>
> Mainak
>
> On Mon, May 1, 2017 at 5:32 PM, <qiongz at andrew.cmu.edu> wrote:
>
>> Hi Alex,
>>
>> Thanks so much for the information. I really appreciate it. I have looked
>> into papers during that period of time by matti Hämäläinen, with the most
>> relevant material in this chapter
>> <https://mycourses.aalto.fi/pluginfile.php/123749/mod_resource/content/1/2002-Hämäläinen-BrainMappingMethods.pdf> p237
>> last paragraph in section 3 providing some understanding of the problem:
>>
>> "The continuous records of the head movements can then be utilized in
>> different correction methods. If the signal-to-noise ratio is so good that
>> unaveraged signals can be modeled, one can simply use a different
>> coordinate transformation between the anatomical and device coordinate
>> frames at each time instant. The situation is more complicated if signals
>> are averaged or if continuous data segments containing signals from
>> supposedly identical source distributions are compared. Uutela et al.
>> (2001) have recently explored several alternative computational approaches
>> applicable to signal averaging and source modelling in situations with
>> significant head movements during the data acquisition.
>>  "
>>
>> As the name 'mne_map_data' suggests the use of simple transformation and
>> is often applied by sessions/blocks, correct me if I'm wrong, it seems to
>> implement different transformations between the anatomical and device
>> coordinate frames using data averaged within those sessions/blocks. As a
>> result, the sensor data is transformed as if they are recorded from the
>> same anatomical positions across these sessions/blocks.
>>
>>
>> Best,
>> Qiong
>>
>>
>> On Mon, May 1, 2017 at 8:53 AM, Alexandre Gramfort <
>> alexandre.gramfort at telecom-paristech.fr> wrote:
>>
>>> hi,
>>>
>>> mne_map_data is based on Matti's paper from the early 90's AFAIK.
>>>
>>> for some reason mne_map_data seems to be absent from the MNE website
>>> and even from the original MNE manual...
>>>
>>> Alex
>>>
>>>
>>> On Fri, Apr 28, 2017 at 7:43 PM, <qiongz at andrew.cmu.edu> wrote:
>>>
>>>> Dear MNE users,
>>>>
>>>> I am trying to understand the difference between using MaxFilter (SSS
>>>> based) and using 'mne_map_data' to correct for head movement.  Does anyone
>>>> know what algorithm is implemented for 'mne_map_data'?
>>>>
>>>> Thanks in advance for any help!
>>>>
>>>> Best,
>>>>
>>>> Qiong
>>>>
>>>> ---------------------------------------------------------
>>>>
>>>> Qiong Zhang
>>>>
>>>> PhD Student
>>>> Machine Learning & Neural Computation
>>>> Carnegie Mellon University
>>>>
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