Either of those options is fine.  Certain kinds of analyses may benefit from 
one or the other approach.

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Thomas Arnold 
<[email protected]<mailto:[email protected]>>
Date: Saturday, November 12, 2016 at 9:51 AM
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] HCP-Users Digest, Vol 48, Issue 22

Xiaozhen You,

My understanding is that the images have already had field map correction 
applied to them as part of the minimal preprocessing pipeline. As I mentioned 
previously, I recall HCP recommending not to perform temporal concatenations. 
However if you going to do so mean-centering prior to concatenation is vital, 
otherwise you create a step function between the high SNR scan and low SNR scan 
which inflates correlation. I would not think variance normalization would be 
crucial. Alternatively, perhaps you could calculate intrahemispheric 
connectivity for each of the LR/RL runs separately and then average the results 
across runs instead of concatenating.

Thomas Campbell Arnold

On Sat, Nov 12, 2016 at 7:16 AM, 
<[email protected]<mailto:[email protected]>>
 wrote:
Send HCP-Users mailing list submissions to
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Today's Topics:

   1. Re: L-R or R-L phase encoding? (Horn,Andreas (BIDMC - Neurology))
   2. Re: L-R or R-L phase encoding? (Horn,Andreas (BIDMC - Neurology))
   3. Re: L-R or R-L phase encoding? (Glasser, Matthew)
   4. Re: L-R or R-L phase encoding? (Horn,Andreas (BIDMC - Neurology))
   5. Re: L-R or R-L phase encoding? (Glasser, Matthew)
   6. Re: Phase Encoding left-to-right and right-to-left
      systematically affect intra hemisphere connections (Xiaozhen You)
   7. Re: L-R or R-L phase encoding? (Horn,Andreas (BIDMC - Neurology))
   8. Re: Phase Encoding left-to-right and right-to-left
      systematically affect intra hemisphere connections (Stephen Smith)
   9. Re: Phase Encoding left-to-right and right-to-left
      systematically affect intra hemisphere connections (Glasser, Matthew)


----------------------------------------------------------------------

Message: 1
Date: Fri, 11 Nov 2016 23:30:48 +0000
From: "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<[email protected]<mailto:[email protected]>>
Content-Type: text/plain; charset="us-ascii"

Dear HCP users,

I am looking for preprocessed rs-fMRI runs in MNI space (if available).
Would the file

HCP/hcp-openaccess/HCP_900/100307/MNINonLinear/Results/rfMRI_REST1_LR/rfMRI_REST1_LR_hp2000_clean.nii.gz

be such a file?
I know about the four runs and how to concatenate them.

But I am not

--
Andreas Horn, MD
Laboratory for Brain Network Imaging and Modulation
Berenson-Allen Center for Noninvasive Brain Stimulation
Department for Neurology, Beth Israel Deaconess Center
Harvard Medical School
330 Brooklin Avenue, Kirstein Building KS 423
02215 Boston

t: +1 6174077649<tel:%2B1%206174077649>
w: http://www.brainnetworkstim.com


________________________________

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Message: 2
Date: Fri, 11 Nov 2016 23:41:05 +0000
From: "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<[email protected]<mailto:[email protected]>>
Content-Type: text/plain; charset="us-ascii"

Dear HCP-Users,

I am looking for preprocessed rs-fMRI data of all 900 HCP subjects (if 
available).

Would the file:
HCP/hcp-openaccess/HCP_900/100307/MNINonLinear/Results/rfMRI_REST1_LR/rfMRI_REST1_LR_hp2000_clean.nii.gz
be such a file? I.e. is it already preprocessed in a standard way? I learned it 
is cleaned by ICA but what else has been done with it?

I know about the four runs and how to concatenate them after subtracting the 
mean signal as described 
here<https://www.mail-archive.com/[email protected]/msg01558.html>.

Thanks so much for your help,

Andreas


________________________________

This message is intended for the use of the person(s) to whom it may be 
addressed. It may contain information that is privileged, confidential, or 
otherwise protected from disclosure under applicable law. If you are not the 
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Message: 3
Date: Sat, 12 Nov 2016 01:30:08 +0000
From: "Glasser, Matthew" <[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?
To: "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]>>,
        "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<d44bcbc8.12cca8%[email protected]<mailto:d44bcbc8.12cca8%[email protected]>>
Content-Type: text/plain; charset="iso-8859-1"

That file has had linear trends removed (sigma=2000s highpass filtering), 24 
movement parameters removed, and noise ICA components removed.  It has not had 
global physiological noise removed as we have not yet released a good way of 
doing this.  No spatial smoothing has been applied.  In general, we don't 
recommend using this data for cross-subject analysis because of poor alignment 
across subjects from non-linear volume registration.  The recommended data to 
use is the CIFTI data aligned on the surface with areal feature-based 
registration: 
${StudyFolder}/${Subject}/MNINonLinear/Results/${fMRIName}/${fMRIName}_Atlas_MSMAll_hp2000_clean.dtseries.nii

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 on behalf of "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Date: Friday, November 11, 2016 at 5:41 PM
To: 
"[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>"
 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?

Dear HCP-Users,

I am looking for preprocessed rs-fMRI data of all 900 HCP subjects (if 
available).

Would the file:
HCP/hcp-openaccess/HCP_900/100307/MNINonLinear/Results/rfMRI_REST1_LR/rfMRI_REST1_LR_hp2000_clean.nii.gz
be such a file? I.e. is it already preprocessed in a standard way? I learned it 
is cleaned by ICA but what else has been done with it?

I know about the four runs and how to concatenate them after subtracting the 
mean signal as described 
here<https://www.mail-archive.com/[email protected]/msg01558.html>.

Thanks so much for your help,

Andreas


________________________________

This message is intended for the use of the person(s) to whom it may be 
addressed. It may contain information that is privileged, confidential, or 
otherwise protected from disclosure under applicable law. If you are not the 
intended recipient, any dissemination, distribution, copying, or use of this 
information is prohibited. If you have received this message in error, please 
permanently delete it and immediately notify the sender. Thank you.

_______________________________________________
HCP-Users mailing list
[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>
http://lists.humanconnectome.org/mailman/listinfo/hcp-users

________________________________
The materials in this message are private and may contain Protected Healthcare 
Information or other information of a sensitive nature. If you are not the 
intended recipient, be advised that any unauthorized use, disclosure, copying 
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strictly prohibited. If you have received this email in error, please 
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Message: 4
Date: Sat, 12 Nov 2016 02:04:10 +0000
From: "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?
To: "Glasser, Matthew" <[email protected]<mailto:[email protected]>>
Cc: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<[email protected]<mailto:[email protected]>>
Content-Type: text/plain; charset="utf-8"

Dear Matt,

thanks so much for your quick response!
Unfortunately, the cifti data doesn?t apply to our question since we need 
whole-brain coverage.
Could you by any chance specify how nonlinear volumetric normalization was done 
in case of the file I mentioned?

Thanks so much!

Best, Andy

--
Andreas Horn, MD
Laboratory for Brain Network Imaging and Modulation
Berenson-Allen Center for Noninvasive Brain Stimulation
Department for Neurology, Beth Israel Deaconess Center
Harvard Medical School
330 Brooklin Avenue, Kirstein Building KS 423
02215 Boston

t: +1 6174077649<tel:%2B1%206174077649>
w: http://www.brainnetworkstim.com

On Nov 11, 2016, at 5:30 PM, Glasser, Matthew 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 wrote:

That file has had linear trends removed (sigma=2000s highpass filtering), 24 
movement parameters removed, and noise ICA components removed.  It has not had 
global physiological noise removed as we have not yet released a good way of 
doing this.  No spatial smoothing has been applied.  In general, we don?t 
recommend using this data for cross-subject analysis because of poor alignment 
across subjects from non-linear volume registration.  The recommended data to 
use is the CIFTI data aligned on the surface with areal feature-based 
registration: 
${StudyFolder}/${Subject}/MNINonLinear/Results/${fMRIName}/${fMRIName}_Atlas_MSMAll_hp2000_clean.dtseries.nii

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 on behalf of "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Date: Friday, November 11, 2016 at 5:41 PM
To: 
"[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>"
 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?

Dear HCP-Users,

I am looking for preprocessed rs-fMRI data of all 900 HCP subjects (if 
available).

Would the file:
HCP/hcp-openaccess/HCP_900/100307/MNINonLinear/Results/rfMRI_REST1_LR/rfMRI_REST1_LR_hp2000_clean.nii.gz
be such a file? I.e. is it already preprocessed in a standard way? I learned it 
is cleaned by ICA but what else has been done with it?

I know about the four runs and how to concatenate them after subtracting the 
mean signal as described 
here<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.mail-2Darchive.com_hcp-2Dusers-40humanconnectome.org_msg01558.html&d=CwMFAw&c=WknmpdNpvrlj2B5K1aWVqL1SOiF30547pqSuOmtwXTQ&r=BTWOP47EynCdRIxIQsxjKLHVp-ucrpC9iMHv26t1NFM&m=1uKLS6QNG06r1RjFu5MJqSZoFifmP81eLwFPvW_ni7E&s=0PVzMmhRd1GgCw286vaEL4XFnJy9T3ijHyaGOd474aU&e=>.

Thanks so much for your help,

Andreas


________________________________

This message is intended for the use of the person(s) to whom it may be 
addressed. It may contain information that is privileged, confidential, or 
otherwise protected from disclosure under applicable law. If you are not the 
intended recipient, any dissemination, distribution, copying, or use of this 
information is prohibited. If you have received this message in error, please 
permanently delete it and immediately notify the sender. Thank you.
_______________________________________________
HCP-Users mailing list
[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>
http://lists.humanconnectome.org/mailman/listinfo/hcp-users<https://urldefense.proofpoint.com/v2/url?u=http-3A__lists.humanconnectome.org_mailman_listinfo_hcp-2Dusers&d=CwMFAw&c=WknmpdNpvrlj2B5K1aWVqL1SOiF30547pqSuOmtwXTQ&r=BTWOP47EynCdRIxIQsxjKLHVp-ucrpC9iMHv26t1NFM&m=1uKLS6QNG06r1RjFu5MJqSZoFifmP81eLwFPvW_ni7E&s=bbh3Vr485ZkhY3SbEvxDLTjUlrbcwC9b9UhlrC7tYAM&e=>


________________________________
The materials in this message are private and may contain Protected Healthcare 
Information or other information of a sensitive nature. If you are not the 
intended recipient, be advised that any unauthorized use, disclosure, copying 
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strictly prohibited. If you have received this email in error, please 
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Message: 5
Date: Sat, 12 Nov 2016 02:06:44 +0000
From: "Glasser, Matthew" <[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?
To: "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]>>
Cc: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<d44bd4ec.12ccf8%[email protected]<mailto:d44bd4ec.12ccf8%[email protected]>>
Content-Type: text/plain; charset="iso-8859-1"

It was done with FNIRT nonlinear volume registration of the T1w image.

CIFTI doesn't include white matter or CSF, but it does include the cortical and 
subcortical grey matter, which is what is required for most fMRI questions.

Peace,

Matt.

From: "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Date: Friday, November 11, 2016 at 8:04 PM
To: Matt Glasser 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Cc: 
"[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>"
 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?

Dear Matt,

thanks so much for your quick response!
Unfortunately, the cifti data doesn't apply to our question since we need 
whole-brain coverage.
Could you by any chance specify how nonlinear volumetric normalization was done 
in case of the file I mentioned?

Thanks so much!

Best, Andy

--
Andreas Horn, MD
Laboratory for Brain Network Imaging and Modulation
Berenson-Allen Center for Noninvasive Brain Stimulation
Department for Neurology, Beth Israel Deaconess Center
Harvard Medical School
330 Brooklin Avenue, Kirstein Building KS 423
02215 Boston

t: +1 6174077649<tel:%2B1%206174077649>
w: http://www.brainnetworkstim.com

On Nov 11, 2016, at 5:30 PM, Glasser, Matthew 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 wrote:

That file has had linear trends removed (sigma=2000s highpass filtering), 24 
movement parameters removed, and noise ICA components removed.  It has not had 
global physiological noise removed as we have not yet released a good way of 
doing this.  No spatial smoothing has been applied.  In general, we don't 
recommend using this data for cross-subject analysis because of poor alignment 
across subjects from non-linear volume registration.  The recommended data to 
use is the CIFTI data aligned on the surface with areal feature-based 
registration: 
${StudyFolder}/${Subject}/MNINonLinear/Results/${fMRIName}/${fMRIName}_Atlas_MSMAll_hp2000_clean.dtseries.nii

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 on behalf of "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Date: Friday, November 11, 2016 at 5:41 PM
To: 
"[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>"
 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?

Dear HCP-Users,

I am looking for preprocessed rs-fMRI data of all 900 HCP subjects (if 
available).

Would the file:
HCP/hcp-openaccess/HCP_900/100307/MNINonLinear/Results/rfMRI_REST1_LR/rfMRI_REST1_LR_hp2000_clean.nii.gz
be such a file? I.e. is it already preprocessed in a standard way? I learned it 
is cleaned by ICA but what else has been done with it?

I know about the four runs and how to concatenate them after subtracting the 
mean signal as described 
here<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.mail-2Darchive.com_hcp-2Dusers-40humanconnectome.org_msg01558.html&d=CwMFAw&c=WknmpdNpvrlj2B5K1aWVqL1SOiF30547pqSuOmtwXTQ&r=BTWOP47EynCdRIxIQsxjKLHVp-ucrpC9iMHv26t1NFM&m=1uKLS6QNG06r1RjFu5MJqSZoFifmP81eLwFPvW_ni7E&s=0PVzMmhRd1GgCw286vaEL4XFnJy9T3ijHyaGOd474aU&e=>.

Thanks so much for your help,

Andreas


________________________________

This message is intended for the use of the person(s) to whom it may be 
addressed. It may contain information that is privileged, confidential, or 
otherwise protected from disclosure under applicable law. If you are not the 
intended recipient, any dissemination, distribution, copying, or use of this 
information is prohibited. If you have received this message in error, please 
permanently delete it and immediately notify the sender. Thank you.
_______________________________________________
HCP-Users mailing list
[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>
http://lists.humanconnectome.org/mailman/listinfo/hcp-users<https://urldefense.proofpoint.com/v2/url?u=http-3A__lists.humanconnectome.org_mailman_listinfo_hcp-2Dusers&d=CwMFAw&c=WknmpdNpvrlj2B5K1aWVqL1SOiF30547pqSuOmtwXTQ&r=BTWOP47EynCdRIxIQsxjKLHVp-ucrpC9iMHv26t1NFM&m=1uKLS6QNG06r1RjFu5MJqSZoFifmP81eLwFPvW_ni7E&s=bbh3Vr485ZkhY3SbEvxDLTjUlrbcwC9b9UhlrC7tYAM&e=>


________________________________
The materials in this message are private and may contain Protected Healthcare 
Information or other information of a sensitive nature. If you are not the 
intended recipient, be advised that any unauthorized use, disclosure, copying 
or the taking of any action in reliance on the contents of this information is 
strictly prohibited. If you have received this email in error, please 
immediately notify the sender via telephone or return mail.


________________________________
The materials in this message are private and may contain Protected Healthcare 
Information or other information of a sensitive nature. If you are not the 
intended recipient, be advised that any unauthorized use, disclosure, copying 
or the taking of any action in reliance on the contents of this information is 
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Message: 6
Date: Fri, 11 Nov 2016 23:31:50 -0500
From: Xiaozhen You <[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] Phase Encoding left-to-right and
        right-to-left   systematically affect intra hemisphere connections
To: "Glasser, Matthew" <[email protected]<mailto:[email protected]>>
Cc: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<[email protected]<mailto:[email protected]>>
Content-Type: text/plain; charset="windows-1252"

Thank you Matthew and Arnold for the speedy reply!
But the AP and PA type of acquisition are not in any of the HCP 900 data 
release though, right?
So seems there is no way to correct this intrinsic hemispheric connectivity 
differences introduced by the RL vs LR encoding?, even though demean and 
variance normalization make the two runs overall comparable and have better 
coverage, it automatically make left and right hemisphere more similar in terms 
of intra hemisphere connections, so more difficult to pull out connectivity 
laterality as conventional AP and PA resting state data reveals for language 
network..

Any field map correction might help this at all?
 or do you think it will help if to normalize variance for each hemisphere 
separately within each run, and then concatenate across RL and LR, for the 
purpose of calculating hemispheric connectivity?

Thanks again for all your help and thoughtful comments!

Xiaozhen You, PhD

Research Faculty
Center for Neuroscience Research
Children's National Medical Center
111 Michigan Ave. NW
M7634
Washington  D.C. 20010
Phone: 2024764294<tel:2024764294>
Email: [email protected]<mailto:[email protected]>

Developmental Cognitive Neuroscience Lab
Georgetown University
Phone: 202-687-9133<tel:202-687-9133>
Email: [email protected]<mailto:[email protected]>

On Nov 11, 2016, at 3:47 PM, Glasser, Matthew 
<[email protected]<mailto:[email protected]>> wrote:

> The recommended approach is to use a balanced amount of RL and LR data in 
> your analysis.  This should not be biased in either direction and should 
> actually have a somewhat better coverage as far as dropout goes.
>
> The reason LR and RL were used was that they allowed for some more favorable 
> scanner settings on our customized HCP Skyra.  On commercial Prisma scanners 
> there is no advantage to LR and RL, so we have been using AP and PA (still 
> balanced so that one gets the benefits of better coverage regarding dropout.
>
> Peace,
>
> Matt.
>
> From: 
> <[email protected]<mailto:[email protected]>>
>  on behalf of Xiaozhen You <[email protected]<mailto:[email protected]>>
> Date: Friday, November 11, 2016 at 1:29 PM
> To: "[email protected]<mailto:[email protected]>" 
> <[email protected]<mailto:[email protected]>>
> Subject: Re: [HCP-Users] Phase Encoding left-to-right and right-to-left 
> systematically affect intra hemisphere connections
>
> Hi HCP experts,
> I noticed the very different effect from the RL or LR phase encoding on 
> within subject intrahemisphere connections, is there a way to correct for 
> this objectively if someone is interested in looking at any metric related to 
> hemispheric connections?
> Here is a sample subject?s intrahemisphere connection map to language area 
> for RL at Rest1 and Rest2, and then LR at Rest1 and Rest2.
>
> _______________________________________________
> HCP-Users mailing list
> [email protected]<mailto:[email protected]>
> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
> <PastedGraphic-16.png>
> <PastedGraphic-18.png>
>  then LR
>
> <PastedGraphic-19.png>
> <PastedGraphic-20.png>
>
> I also then tried to concatenated the RL and LR within the same session by 
> demean and variance normalization but then it artificially make it more 
> bilateral.  Here is what I have for just a single run resting state data from 
> our lab's regular rsfmri acquisition which does reveal left hemispheric 
> language dominance for connectivity for adult.
>
> Any help will be highly appreciated.
> Thanks!
> Xiaozhen You, PhD
>
> Research Faculty
> Center for Neuroscience Research
> Children's National Medical Center
> 111 Michigan Ave. NW
> M7634
> Washington  D.C. 20010
> Phone: 2024764294<tel:2024764294>
> Email: [email protected]<mailto:[email protected]>
>
> Developmental Cognitive Neuroscience Lab
> Georgetown University
> Phone: 202-687-9133<tel:202-687-9133>
> Email: [email protected]<mailto:[email protected]>
>
>
>
> The materials in this message are private and may contain Protected 
> Healthcare Information or other information of a sensitive nature. If you are 
> not the intended recipient, be advised that any unauthorized use, disclosure, 
> copying or the taking of any action in reliance on the contents of this 
> information is strictly prohibited. If you have received this email in error, 
> please immediately notify the sender via telephone or return mail.
> <PastedGraphic-16.png><PastedGraphic-18.png><PastedGraphic-19.png><PastedGraphic-20.png>

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Message: 7
Date: Sat, 12 Nov 2016 04:41:17 +0000
From: "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?
To: "Glasser, Matthew" <[email protected]<mailto:[email protected]>>
Cc: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<[email protected]<mailto:[email protected]>>
Content-Type: text/plain; charset="utf-8"

Thanks, super!

On Nov 11, 2016, at 6:06 PM, Glasser, Matthew 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 wrote:

It was done with FNIRT nonlinear volume registration of the T1w image.

CIFTI doesn?t include white matter or CSF, but it does include the cortical and 
subcortical grey matter, which is what is required for most fMRI questions.

Peace,

Matt.

From: "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Date: Friday, November 11, 2016 at 8:04 PM
To: Matt Glasser 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Cc: 
"[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>"
 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?

Dear Matt,

thanks so much for your quick response!
Unfortunately, the cifti data doesn?t apply to our question since we need 
whole-brain coverage.
Could you by any chance specify how nonlinear volumetric normalization was done 
in case of the file I mentioned?

Thanks so much!

Best, Andy

--
Andreas Horn, MD
Laboratory for Brain Network Imaging and Modulation
Berenson-Allen Center for Noninvasive Brain Stimulation
Department for Neurology, Beth Israel Deaconess Center
Harvard Medical School
330 Brooklin Avenue, Kirstein Building KS 423
02215 Boston

t: +1 6174077649<tel:%2B1%206174077649>
w: 
http://www.brainnetworkstim.com<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.brainnetworkstim.com&d=CwMFAw&c=WknmpdNpvrlj2B5K1aWVqL1SOiF30547pqSuOmtwXTQ&r=BTWOP47EynCdRIxIQsxjKLHVp-ucrpC9iMHv26t1NFM&m=2sTqsimt4FSgTyQ3szMU1eeSNM-rl0pYtOYMx5er7Ec&s=822GDuBVN_n1CdnSmj5QRNuHGLXQKXW3G7a0d2NDaIo&e=>

On Nov 11, 2016, at 5:30 PM, Glasser, Matthew 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 wrote:

That file has had linear trends removed (sigma=2000s highpass filtering), 24 
movement parameters removed, and noise ICA components removed.  It has not had 
global physiological noise removed as we have not yet released a good way of 
doing this.  No spatial smoothing has been applied.  In general, we don?t 
recommend using this data for cross-subject analysis because of poor alignment 
across subjects from non-linear volume registration.  The recommended data to 
use is the CIFTI data aligned on the surface with areal feature-based 
registration: 
${StudyFolder}/${Subject}/MNINonLinear/Results/${fMRIName}/${fMRIName}_Atlas_MSMAll_hp2000_clean.dtseries.nii

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 on behalf of "Horn,Andreas (BIDMC - Neurology)" 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Date: Friday, November 11, 2016 at 5:41 PM
To: 
"[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>"
 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Subject: Re: [HCP-Users] L-R or R-L phase encoding?

Dear HCP-Users,

I am looking for preprocessed rs-fMRI data of all 900 HCP subjects (if 
available).

Would the file:
HCP/hcp-openaccess/HCP_900/100307/MNINonLinear/Results/rfMRI_REST1_LR/rfMRI_REST1_LR_hp2000_clean.nii.gz
be such a file? I.e. is it already preprocessed in a standard way? I learned it 
is cleaned by ICA but what else has been done with it?

I know about the four runs and how to concatenate them after subtracting the 
mean signal as described 
here<https://urldefense.proofpoint.com/v2/url?u=https-3A__www.mail-2Darchive.com_hcp-2Dusers-40humanconnectome.org_msg01558.html&d=CwMFAw&c=WknmpdNpvrlj2B5K1aWVqL1SOiF30547pqSuOmtwXTQ&r=BTWOP47EynCdRIxIQsxjKLHVp-ucrpC9iMHv26t1NFM&m=1uKLS6QNG06r1RjFu5MJqSZoFifmP81eLwFPvW_ni7E&s=0PVzMmhRd1GgCw286vaEL4XFnJy9T3ijHyaGOd474aU&e=>.

Thanks so much for your help,

Andreas


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Message: 8
Date: Sat, 12 Nov 2016 07:51:14 +0000
From: Stephen Smith <[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] Phase Encoding left-to-right and
        right-to-left   systematically affect intra hemisphere connections
To: Xiaozhen You <[email protected]<mailto:[email protected]>>
Cc: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<[email protected]<mailto:[email protected]>>
Content-Type: text/plain; charset="utf-8"

Hi - there's several images here, and I'm not sure how you estimated these 
connectivity patterns?  Are you sure this isn't just run-run variability?
Cheers.



> On 11 Nov 2016, at 19:29, Xiaozhen You 
> <[email protected]<mailto:[email protected]>> wrote:
>
> Hi HCP experts,
> I noticed the very different effect from the RL or LR phase encoding on 
> within subject intrahemisphere connections, is there a way to correct for 
> this objectively if someone is interested in looking at any metric related to 
> hemispheric connections?
> Here is a sample subject?s intrahemisphere connection map to language area 
> for RL at Rest1 and Rest2, and then LR at Rest1 and Rest2.
>
> _______________________________________________
> HCP-Users mailing list
> [email protected]<mailto:[email protected]>
> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>
> <PastedGraphic-16.png>
> <PastedGraphic-18.png>
>  then LR
>
> <PastedGraphic-19.png>
> <PastedGraphic-20.png>
>
> I also then tried to concatenated the RL and LR within the same session by 
> demean and variance normalization but then it artificially make it more 
> bilateral.  Here is what I have for just a single run resting state data from 
> our lab's regular rsfmri acquisition which does reveal left hemispheric 
> language dominance for connectivity for adult.
>
> Any help will be highly appreciated.
> Thanks!
> Xiaozhen You, PhD
>
> Research Faculty
> Center for Neuroscience Research
> Children's National Medical Center
> 111 Michigan Ave. NW
> M7634
> Washington  D.C. 20010
> Phone: 2024764294<tel:2024764294>
> Email: [email protected]<mailto:[email protected]> 
> <mailto:[email protected]<mailto:[email protected]>>
>
> Developmental Cognitive Neuroscience Lab
> Georgetown University
> Phone: 202-687-9133<tel:202-687-9133>
> Email: [email protected]<mailto:[email protected]> 
> <mailto:[email protected]<mailto:[email protected]>>
>
> <PastedGraphic-21.pdf>


---------------------------------------------------------------------------
Stephen M. Smith, Professor of Biomedical Engineering
Head of Analysis,  Oxford University FMRIB Centre

FMRIB, JR Hospital, Headington, Oxford  OX3 9DU, UK
+44 (0) 1865 222726<tel:%2B44%20%280%29%201865%20222726>  (fax 222717)
[email protected]<mailto:[email protected]>    
http://www.fmrib.ox.ac.uk/~steve <http://www.fmrib.ox.ac.uk/~steve>
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Stop the cultural?destruction?of Tibet <http://smithinks.net/>





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Message: 9
Date: Sat, 12 Nov 2016 12:17:27 +0000
From: "Glasser, Matthew" <[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] Phase Encoding left-to-right and
        right-to-left systematically affect intra hemisphere connections
To: Xiaozhen You <[email protected]<mailto:[email protected]>>
Cc: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Message-ID: 
<d44c63a5.12cd54%[email protected]<mailto:d44c63a5.12cd54%[email protected]>>
Content-Type: text/plain; charset="windows-1252"

I wouldn?t expect one?s results to be dramatically different from comparing LR 
+ RL to AP + PA.  It is certainly possible to identify lateralized RSNs in the 
HCP data.  It is correct that you should demean and if desired variance 
normalize each run separately.

Peace,

Matt.

From: Xiaozhen You 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Date: Friday, November 11, 2016 at 10:31 PM
To: Matt Glasser 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Cc: 
"[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>"
 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Subject: Re: [HCP-Users] Phase Encoding left-to-right and right-to-left 
systematically affect intra hemisphere connections

Thank you Matthew and Arnold for the speedy reply!
But the AP and PA type of acquisition are not in any of the HCP 900 data 
release though, right?
So seems there is no way to correct this intrinsic hemispheric connectivity 
differences introduced by the RL vs LR encoding?, even though demean and 
variance normalization make the two runs overall comparable and have better 
coverage, it automatically make left and right hemisphere more similar in terms 
of intra hemisphere connections, so more difficult to pull out connectivity 
laterality as conventional AP and PA resting state data reveals for language 
network..

Any field map correction might help this at all?
 or do you think it will help if to normalize variance for each hemisphere 
separately within each run, and then concatenate across RL and LR, for the 
purpose of calculating hemispheric connectivity?

Thanks again for all your help and thoughtful comments!

Xiaozhen You, PhD

Research Faculty
Center for Neuroscience Research
Children's National Medical Center
111 Michigan Ave. NW
M7634
Washington  D.C. 20010
Phone: 2024764294<tel:2024764294>
Email: 
[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>

Developmental Cognitive Neuroscience Lab
Georgetown University
Phone: 202-687-9133
Email: 
[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>

On Nov 11, 2016, at 3:47 PM, Glasser, Matthew 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 wrote:

The recommended approach is to use a balanced amount of RL and LR data in your 
analysis.  This should not be biased in either direction and should actually 
have a somewhat better coverage as far as dropout goes.

The reason LR and RL were used was that they allowed for some more favorable 
scanner settings on our customized HCP Skyra.  On commercial Prisma scanners 
there is no advantage to LR and RL, so we have been using AP and PA (still 
balanced so that one gets the benefits of better coverage regarding dropout.

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
 on behalf of Xiaozhen You 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Date: Friday, November 11, 2016 at 1:29 PM
To: 
"[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>"
 
<[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>>
Subject: Re: [HCP-Users] Phase Encoding left-to-right and right-to-left 
systematically affect intra hemisphere connections

Hi HCP experts,
I noticed the very different effect from the RL or LR phase encoding on within 
subject intrahemisphere connections, is there a way to correct for this 
objectively if someone is interested in looking at any metric related to 
hemispheric connections?
Here is a sample subject?s intrahemisphere connection map to language area for 
RL at Rest1 and Rest2, and then LR at Rest1 and Rest2.

_______________________________________________
HCP-Users mailing list
[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>
http://lists.humanconnectome.org/mailman/listinfo/hcp-users
<PastedGraphic-16.png>
<PastedGraphic-18.png>
 then LR

<PastedGraphic-19.png>
<PastedGraphic-20.png>

I also then tried to concatenated the RL and LR within the same session by 
demean and variance normalization but then it artificially make it more 
bilateral.  Here is what I have for just a single run resting state data from 
our lab's regular rsfmri acquisition which does reveal left hemispheric 
language dominance for connectivity for adult.

Any help will be highly appreciated.
Thanks!
Xiaozhen You, PhD

Research Faculty
Center for Neuroscience Research
Children's National Medical Center
111 Michigan Ave. NW
M7634
Washington  D.C. 20010
Phone: 2024764294
Email: 
[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>

Developmental Cognitive Neuroscience Lab
Georgetown University
Phone: 202-687-9133
Email: 
[email protected]<mailto:[email protected]><mailto:[email protected]<mailto:[email protected]>>



________________________________
The materials in this message are private and may contain Protected Healthcare 
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immediately notify the sender via telephone or return mail.
<PastedGraphic-16.png><PastedGraphic-18.png><PastedGraphic-19.png><PastedGraphic-20.png>


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