Hi Paulo!

Sorry if I interrupt your conversation.
I'm a med student (doing my internship in Neurosurgery): could you please tell me more about your data? :) Is itfreely available? Could you share it with me? :D

Also, about the resting state fMRI, I imagine that there is a huge variable to take into account: the patient own brain-chattering (which is pretty difficult to stop - I tried it myself!) or the hidden variable "how can you be sure the patient isn't really performing any brain-work?". Wouldn't that invalidate your dataset? What is your thought on that?


Thank you.

Raf

On 15/01/2016 20:42, Paulo Rodrigues wrote:
Hi.

Yes, MRI (and especially brain MRI) provides 'static' images - either showing the structure as gray matter or white matter (like from diffusion MRI) or other modalities. But if you want a time series on it I would say fMRI is more interesting, as it measures 'brain activity' as a proxy from the blood oxygenations, i.e. if part of the brain is working more, it is consuming more energy, so it needs more blood. fMRI is discussable, or better the conclusion that are drawn from it, especially in the task based studies.

Now what is particularly of interest and cool is resting state fMRI <https://en.wikipedia.org/wiki/Resting_state_fMRI> - the subject is not doing any task, simply resting in the scanner, and the brain is 'fluctuating' in it's "idle mode". And then you can do cool stuff like look at the brain as a network, and as a dynamic network. This is being actively researched as a predictor for pathologies, cognition, etc etc - and it also has some nice connections with philosophy :) It has difficulties in the possibilities of analysis methods and pre-processing it, but depending on your brother's research needs, something can be done more or less complex.

We have bunch of data if you need. Just let me know.

Have a great weekend!
Paulo

ᐧ

On Fri, Jan 15, 2016 at 8:26 PM, Matthew Taylor <[email protected] <mailto:[email protected]>> wrote:

    Mark, Marion, or Kentaro might have something to say abou this.
    Also, here are some examples of similar projects:

    -
    
https://www.youtube.com/watch?v=gzfTZhd6X9c&index=12&list=PL3yXMgtrZmDqZc2m7qI3Kkbmxechp2-Zs
    -
    
https://www.youtube.com/watch?v=Ij4StdJBxEo&index=17&list=PL3yXMgtrZmDqZc2m7qI3Kkbmxechp2-Zs


    ---------
    Matt Taylor
    OS Community Flag-Bearer
    Numenta

    On Thu, Jan 14, 2016 at 1:09 PM, gideon isaac
    <[email protected] <mailto:[email protected]>> wrote:

        I was looking at some of the audio applications of Nupic
        provided by a helpful person on this list, and I think the
        same methods could be used for an MRI application.
        Static MRI pictures are constructed from Fourier transforms of
        a signal produced by Hydrogen atoms spinning under the
        influence of MRI magnets. They are then converted into a
picture. So temporal is converted to spatial or vice versa. I’m somewhat muddled on this, but my brother creates sequences
        for MRI machines and then gathers the data coming out, and I
        want to interest him in Nupic.
        MRI static pictures are usually used to look for anomalies
        like tumors, or soft tissue problems that do not show up on
        x-rays.  It might be hard to compare a pathology picture with
        a healthy picture because people vary in height and shape
        etc.  That could be a problem – there is no standard picture
        of a lung for instance – you would have to feed pictures from
        people of all sizes into the HTM.
        There would be no need for a step of converting the signal to
        a picture, instead the signal would be fed directly into Nupic.
        There is also Functional-MRI – which can watch movements – you
        can watch a MRI movie of a heart beating and look for
        anomalies there.
        So is this something I can present to my brother’s research
        team at his university, and if so,  are there any special
        methods that should be used?
        Thanks.





--
*Paulo Rodrigues, PhD
CEO & co-founder
*/Arc de Sant Silvestre 4, entresuelo segunda
08003 Barcelona, Spain
Tel. +34 933 282 007
Mob. +34 633 817 514
/[email protected] <mailto:[email protected]>
www.mint-labs.com <http://www.mint-labs.com>

--
Raf

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