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Deed description of document 'fmri_timeseries.csv' #166
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These data were provided by Beth Mormino ca. 2008.
I don't know much about the data, how it was collected and how the
time-series were extracted.
They are still useful for the example, in my opinion, as they are just like
time-series you would extract from fMRI data.
But I wouldn't use these time-series to answer any research questions.
…On Fri, Jan 11, 2019 at 7:32 PM gaojunhui68 ***@***.***> wrote:
Under nitime/data/, there is a fmri_timeseries.csv file with 31 different
areas. Can you give me more information about this file? For example, how
did the data come from, or where did it come from?
Thank you!
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Hi, Ariel Rokem,
These data were provided by Beth Mormino ca. 2008. It is an important information for me , thank you for your reply.
Could you tell me more details about which article the data came from? Or the source of the data.
Thank you!
Junhui Gao
At 2019-01-22 14:34:01, "Ariel Rokem" <notifications@github.com> wrote:
These data were provided by Beth Mormino ca. 2008.
I don't know much about the data, how it was collected and how the
time-series were extracted.
They are still useful for the example, in my opinion, as they are just like
time-series you would extract from fMRI data.
But I wouldn't use these time-series to answer any research questions.
On Fri, Jan 11, 2019 at 7:32 PM gaojunhui68 ***@***.***> wrote:
Under nitime/data/, there is a fmri_timeseries.csv file with 31 different
areas. Can you give me more information about this file? For example, how
did the data come from, or where did it come from?
Thank you!
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There is no particular publication associated with these data. As mentioned above, I wouldn't use these data to come to any scientific conclusions about the brain. If what you need is time-series of functional connectivity, there are plenty of other datasets you could use. If you need to cite the use of this particular data, please cite our scipy paper |
We will cite your paper.
Is there data like fmri_timeseries.csv that has been converted into numerical time series without image processing?
At 2019-02-19 03:53:03, "Ariel Rokem" <notifications@github.com> wrote:
There is no particular publication associated with these data. As mentioned above, I wouldn't use these data to come to any scientific conclusions about the brain. If what you need is time-series of functional connectivity, there are plenty of other datasets you could use.
If you need to cite the use of this particular data, please cite our scipy paper
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That's a good question. I suggest you ask here: https://neurostars.org/
…On Thu, Feb 21, 2019 at 2:17 AM gaojunhui68 ***@***.***> wrote:
We will cite your paper.
Is there data like fmri_timeseries.csv that has been converted into
numerical time series without image processing?
At 2019-02-19 03:53:03, "Ariel Rokem" ***@***.***> wrote:
There is no particular publication associated with these data. As
mentioned above, I wouldn't use these data to come to any scientific
conclusions about the brain. If what you need is time-series of functional
connectivity, there are plenty of other datasets you could use.
If you need to cite the use of this particular data, please cite our scipy
paper
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Under nitime/data/, there is a fmri_timeseries.csv file with 31 different areas. Can you give me more information about this file? For example, how did the data come from, or where did it come from?
Thank you!
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