5th International Symposium on MRS of GABA

We are delighted to announce that the 5th (!) International Symposium on MRS of GABA will be held from November 18-20, 2019 in Park City, Utah. More details will be posted here as they emerge (and keep an eye on https://sites.google.com/site/gabamrssymposium/ ).

In keeping with previous symposia, the meeting will include sessions of submitted abstracts, round table discussions and plenty of time to meet new collaborators. Topics covered will include methodological developments and applications of MRS of GABA, as well as other advanced MRS methods.

EDITINGSCHOOL final schedule

Day 0 (Dec 3)

     Check-in, Opening Receptiopn/ Meet-the-Faculty

Day 1 (Dec 4)

     10 - The MR Spectrum – Richard Edden

     11 - Evolution of Spin Systems – Richard Edden

          Lunch

     2 - The editable metabolites – Ashley Harris

     3 - J-difference editing explained – Georg Oeltzschner

     4 - Quantification – Paul Mullins

    5 -  Simulations and Data handling with FID-A – Jamie Near

Day 2 (Dec 5)

     10 - Practicalities of Acquisition  - Ulrike Dydak

     11 - Neurochemistry of GABA - Eric Porges & Damon Lamb

          Lunch

      2 - Advanced Editing Methods – Richard Edden

3 - Editable Metabolites in Psychiatric Disease – Laura Rowland

4 - Data Processing with Gannet – Mark Mikkelsen 

5 - Where did I go wrong? - Nick Puts     

Day 3 (Dec 6)

   Morning Career Breakouts: maximizing your postdoc; early-career challenges; TBC.

Gannet supports Siemens Hermes data

Gannet now provides support for Hermes data acquired using Siemens 3T scanner. The acceptable format is .dat. Please note that it is beneficial to acquire metabolite data and water data using the same sequence for better coil combination. Below is the GannetLoad window displaying Siemens HERMES data before and after post-processing steps in Gannet.

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HERMES of GABA and GSH at 7T

Extending the multi-metabolite editing technique at high field scanner, we have developed HERMES of GABA and GSH at ultra-high field scanner. For this, M.G. Saleh and colleagues implemented semi-LASER (sLASER) voxel localizer and Hadamard encoding scheme (Figure a) at 7T to simultaneously edit GABA (at 3 ppm) and GSH (at 2.95 ppm) in half the scan time MEGA-sLASER takes to edit these metabolites sequentially (Figure b). HERMES of GABA and GSH will be presented at 27th Joint Annual Meeting of the ESMRMB-ISMRM, Paris, France, 2018.

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Provisional EDITINGSCHOOL schedule

Day 0 (Dec 3)

     Check-in, Opening Receptiopn/ Meet-the-Faculty

Day 1 (Dec 4)

     The MR Spectrum – Richard Edden

     Evolution of Spin Systems – Richard Edden

          Lunch

     The editable metabolites – Ashley Harris

     J-difference editing explained– Georg Oeltzschner

     Quantification – Paul Mullins

     Simulations and Data handling with FID-A – Jamie Near

Day 2 (Dec 5)

     Practicalities of Acquisition  - Nick Puts

     Practicalities of Acquisition  II - TBC

          Lunch

     Editable Metabolites in Psychiatric Disease – Laura Rowland

     Advanced Editing Methods – Richard Edden

     (MRS-relevant neurochemistry of GABA - TBC)

     Data Processing with Gannet – Mark Mikkelsen 

Day 3 (Dec 6)

   Morning Career Breakouts: maximizing your postdoc; early-career challenges; TBC.

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Running a GSH-edited MEGA-PRESS dataset through Gannet 3.0

We have improved the data processing and quantification routines for GSH-edited MEGA-PRESS data in Gannet 3.0. Here is a quick "getting started" tutorial on running a GSH-edited MEGA-PRESS dataset:

  1. Download Gannet 3.0, placing the master folder at the top of your MATLAB's search path.

  2. Open GannetPreInitialise.m.

  3. Set MRS_struct.p.target to 'GSH' (MRS_struct.p.target2 can be ignored).

  4. Set MRS_struct.p.ONOFForder to 'offfirst' or 'onfirst' depending on the order of the ON/OFF editing pulses in your MEGA-PRESS acquisition (typically this should be 'offfirst' for Philips data and 'onfirst' for GE/Siemens data).

  5. Set MRS_struct.p.water_removal to 1 (this is the default) to remove residual water in the difference spectrum.

  6. Set MRS_struct.p.AlignTo to 'SpecRegHERMES'. (We recently published a novel frequency-and-phase correction algorithm for multiplexed edited MRS data [1]; this method also works well with GSH-edited data and is recommended.)

  7. Set MRS_struct.p.GSH_model to 'SixGauss' (recommended for long-TE MEGA-PRESS data).

  8. Save your changes.

  9. Change your working directory to where your GSH dataset is saved.

  10. To run GannetLoad on:

    1. GE data, run: MRS = GannetLoad({'GSH_MEGA_1.7'});

    2. Philips SDAT data (no water reference), run: MRS = GannetLoad({'GSH_MEGA_1_act.sdat'});

    3. Philips SDAT data (with water reference), run: MRS = GannetLoad({'GSH_MEGA_1_act.sdat'}, {'GSH_MEGA_1_ref.sdat'});

    4. Philips .data files (no water reference), run: MRS = GannetLoad({'GSH_MEGA_1.data'});

    5. Philips .data files (with water reference), run: MRS = GannetLoad({'GSH_MEGA_1.data'}, {'GSH_MEGA_1_water.data'});

    6. Siemens .rda data (no water reference), run: MRS = GannetLoad({'GSH_MEGA_1_ON.rda', 'GSH_MEGA_1_OFF.rda'});

    7. Siemens .rda data (with water reference), run: MRS = GannetLoad({'GSH_MEGA_1_ON.rda', 'GSH_MEGA_1_OFF.rda'},{'GSH_MEGA_1_water.rda'});

    8. Siemens TWIX data (no water reference), run: MRS = GannetLoad({'GSH_MEGA_1_metab.dat'});

    9. Siemens TWIX data (with water reference), run: MRS = GannetLoad({'GSH_MEGA_1_metab.dat'}, {'GSH_MEGA_1_water.dat'});

  11. Then run GannetFit: MRS = GannetFit(MRS);

 

1. Mikkelsen M, Saleh MG, Near J, et al. Frequency and phase correction for multiplexed edited MRS of GABA and glutathione. Magn. Reson. Med. 2017;0:1–8. doi: 10.1002/mrm.27027.