Hi Raf, No worries :) We have a mix of available data (we are integrating public data initiatives with our users' data as well). In Mint Labs we do data management and analysis in the cloud, and have some other features. We'll be launching soon a tool for 3d visualization, which is particularly interesting for neurosurgery, and also for learning. I'll send you a link as soon it is 'beta'. Would love your opinion on it. If you are interesting in data analysis I would invite you to check http://mint-labs.com/welcome and register for free, of course.
As for rs-fMRI, that I know of there are only 2 'variables' that people take into account: open or close eyes, and having drunk coffee or not. For example the default mode network is more associated at 'actively' doing something or not, maybe for low-level monitoring of the environment, kinda an 'introspection' mode, and then if a 'lion' jumps your brain focus on that. But, it's recent research and certainly intriguing :) Best, Paulo ᐧ On Fri, Jan 15, 2016 at 10:23 PM, Raf <[email protected]> wrote: > 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]> 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]> >> 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 <%2B34%20933%20282%20007> Mob. +34 633 817 514 > <%2B34%20633%20817%20514> *[email protected] > www.mint-labs.com > > > -- > Raf > www.madraf.com/algotrading > reply to: [email protected] > skype: algotrading_madraf > > -- *Paulo Rodrigues, PhDCEO & co-founder* *Arc de Sant Silvestre 4, entresuelo segunda08003 Barcelona, SpainTel. +34 933 282 007Mob. +34 633 817 514*[email protected] www.mint-labs.com
