Big GABA: Edited MR spectroscopy at 24 research sites. Mikkelsen, M., Barker, P. B., Bhattacharyya, P. K., Brix, M. K., Buur, P. F., Cecil, K. M., Chan, K. L., Chen, D. Y., Craven, A. R., Cuypers, K., Dacko, M., Duncan, N. W., Dydak, U., Edmondson, D. A., Ende, G., Ersland, L., Gao, F., Greenhouse, I., Harris, A. D., He, N., Heba, S., Hoggard, N., Hsu, T. W., Jansen, J. F. A., Kangarlu, A., Lange, T., Lebel, R. M., Li, Y., Lin, C. E., Liou, J. K., Lirng, J. F., Liu, F., Ma, R., Maes, C., Moreno-Ortega, M., Murray, S. O., Noah, S., Noeske, R., Noseworthy, M. D., Oeltzschner, G., Prisciandaro, J. J., Puts, N. A. J., Roberts, T. P. L., Sack, M., Sailasuta, N., Saleh, M. G., Schallmo, M. P., Simard, N., Swinnen, S. P., Tegenthoff, M., Truong, P., Wang, G., Wilkinson, I. D., Wittsack, H. J., Xu, H., Yan, F., Zhang, C., Zipunnikov, V., Zollner, H. J., & Edden, R. A. E. Neuroimage, 159:32-45, 2017. Mikkelsen, Mark Barker, Peter B Bhattacharyya, Pallab K Brix, Maiken K Buur, Pieter F Cecil, Kim M Chan, Kimberly L Chen, David Y-T Craven, Alexander R Cuypers, Koen Dacko, Michael Duncan, Niall W Dydak, Ulrike Edmondson, David A Ende, Gabriele Ersland, Lars Gao, Fei Greenhouse, Ian Harris, Ashley D He, Naying Heba, Stefanie Hoggard, Nigel Hsu, Tun-Wei Jansen, Jacobus F A Kangarlu, Alayar Lange, Thomas Lebel, R Marc Li, Yan Lin, Chien-Yuan E Liou, Jy-Kang Lirng, Jiing-Feng Liu, Feng Ma, Ruoyun Maes, Celine Moreno-Ortega, Marta Murray, Scott O Noah, Sean Noeske, Ralph Noseworthy, Michael D Oeltzschner, Georg Prisciandaro, James J Puts, Nicolaas A J Roberts, Timothy P L Sack, Markus Sailasuta, Napapon Saleh, Muhammad G Schallmo, Michael-Paul Simard, Nicholas Swinnen, Stephan P Tegenthoff, Martin Truong, Peter Wang, Guangbin Wilkinson, Iain D Wittsack, Hans-Jorg Xu, Hongmin Yan, Fuhua Zhang, Chencheng Zipunnikov, Vadim Zollner, Helge J Edden, Richard A E eng R01 EB023963/EB/NIBIB NIH HHS/ R21 DA043917/DA/NIDA NIH HHS/ P50 AA010761/AA/NIAAA NIH HHS/ R01 AA025365/AA/NIAAA NIH HHS/ U54 HD086984/HD/NICHD NIH HHS/ K23 AA020842/AA/NIAAA NIH HHS/ K99 MH107719/MH/NIMH NIH HHS/ R00 MH107719/MH/NIMH NIH HHS/ P41 EB015909/EB/NIBIB NIH HHS/ F32 EY025121/EY/NEI NIH HHS/ R01 EB016089/EB/NIBIB NIH HHS/ Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't 2017/07/19 06:00 Neuroimage. 2017 Oct 1;159:32-45. doi: 10.1016/j.neuroimage.2017.07.021. Epub 2017 Jul 14.
Paper doi abstract bibtex Magnetic resonance spectroscopy (MRS) is the only biomedical imaging method that can noninvasively detect endogenous signals from the neurotransmitter gamma-aminobutyric acid (GABA) in the human brain. Its increasing popularity has been aided by improvements in scanner hardware and acquisition methodology, as well as by broader access to pulse sequences that can selectively detect GABA, in particular J-difference spectral editing sequences. Nevertheless, implementations of GABA-edited MRS remain diverse across research sites, making comparisons between studies challenging. This large-scale multi-vendor, multi-site study seeks to better understand the factors that impact measurement outcomes of GABA-edited MRS. An international consortium of 24 research sites was formed. Data from 272 healthy adults were acquired on scanners from the three major MRI vendors and analyzed using the Gannet processing pipeline. MRS data were acquired in the medial parietal lobe with standard GABA+ and macromolecule- (MM-) suppressed GABA editing. The coefficient of variation across the entire cohort was 12% for GABA+ measurements and 28% for MM-suppressed GABA measurements. A multilevel analysis revealed that most of the variance (72%) in the GABA+ data was accounted for by differences between participants within-site, while site-level differences accounted for comparatively more variance (20%) than vendor-level differences (8%). For MM-suppressed GABA data, the variance was distributed equally between site- (50%) and participant-level (50%) differences. The findings show that GABA+ measurements exhibit strong agreement when implemented with a standard protocol. There is, however, increased variability for MM-suppressed GABA measurements that is attributed in part to differences in site-to-site data acquisition. This study's protocol establishes a framework for future methodological standardization of GABA-edited MRS, while the results provide valuable benchmarks for the MRS community.
@article{RN196,
author = {Mikkelsen, M. and Barker, P. B. and Bhattacharyya, P. K. and Brix, M. K. and Buur, P. F. and Cecil, K. M. and Chan, K. L. and Chen, D. Y. and Craven, A. R. and Cuypers, K. and Dacko, M. and Duncan, N. W. and Dydak, U. and Edmondson, D. A. and Ende, G. and Ersland, L. and Gao, F. and Greenhouse, I. and Harris, A. D. and He, N. and Heba, S. and Hoggard, N. and Hsu, T. W. and Jansen, J. F. A. and Kangarlu, A. and Lange, T. and Lebel, R. M. and Li, Y. and Lin, C. E. and Liou, J. K. and Lirng, J. F. and Liu, F. and Ma, R. and Maes, C. and Moreno-Ortega, M. and Murray, S. O. and Noah, S. and Noeske, R. and Noseworthy, M. D. and Oeltzschner, G. and Prisciandaro, J. J. and Puts, N. A. J. and Roberts, T. P. L. and Sack, M. and Sailasuta, N. and Saleh, M. G. and Schallmo, M. P. and Simard, N. and Swinnen, S. P. and Tegenthoff, M. and Truong, P. and Wang, G. and Wilkinson, I. D. and Wittsack, H. J. and Xu, H. and Yan, F. and Zhang, C. and Zipunnikov, V. and Zollner, H. J. and Edden, R. A. E.},
title = {Big GABA: Edited MR spectroscopy at 24 research sites},
journal = {Neuroimage},
volume = {159},
pages = {32-45},
note = {Mikkelsen, Mark
Barker, Peter B
Bhattacharyya, Pallab K
Brix, Maiken K
Buur, Pieter F
Cecil, Kim M
Chan, Kimberly L
Chen, David Y-T
Craven, Alexander R
Cuypers, Koen
Dacko, Michael
Duncan, Niall W
Dydak, Ulrike
Edmondson, David A
Ende, Gabriele
Ersland, Lars
Gao, Fei
Greenhouse, Ian
Harris, Ashley D
He, Naying
Heba, Stefanie
Hoggard, Nigel
Hsu, Tun-Wei
Jansen, Jacobus F A
Kangarlu, Alayar
Lange, Thomas
Lebel, R Marc
Li, Yan
Lin, Chien-Yuan E
Liou, Jy-Kang
Lirng, Jiing-Feng
Liu, Feng
Ma, Ruoyun
Maes, Celine
Moreno-Ortega, Marta
Murray, Scott O
Noah, Sean
Noeske, Ralph
Noseworthy, Michael D
Oeltzschner, Georg
Prisciandaro, James J
Puts, Nicolaas A J
Roberts, Timothy P L
Sack, Markus
Sailasuta, Napapon
Saleh, Muhammad G
Schallmo, Michael-Paul
Simard, Nicholas
Swinnen, Stephan P
Tegenthoff, Martin
Truong, Peter
Wang, Guangbin
Wilkinson, Iain D
Wittsack, Hans-Jorg
Xu, Hongmin
Yan, Fuhua
Zhang, Chencheng
Zipunnikov, Vadim
Zollner, Helge J
Edden, Richard A E
eng
R01 EB023963/EB/NIBIB NIH HHS/
R21 DA043917/DA/NIDA NIH HHS/
P50 AA010761/AA/NIAAA NIH HHS/
R01 AA025365/AA/NIAAA NIH HHS/
U54 HD086984/HD/NICHD NIH HHS/
K23 AA020842/AA/NIAAA NIH HHS/
K99 MH107719/MH/NIMH NIH HHS/
R00 MH107719/MH/NIMH NIH HHS/
P41 EB015909/EB/NIBIB NIH HHS/
F32 EY025121/EY/NEI NIH HHS/
R01 EB016089/EB/NIBIB NIH HHS/
Multicenter Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
2017/07/19 06:00
Neuroimage. 2017 Oct 1;159:32-45. doi: 10.1016/j.neuroimage.2017.07.021. Epub 2017 Jul 14.},
abstract = {Magnetic resonance spectroscopy (MRS) is the only biomedical imaging method that can noninvasively detect endogenous signals from the neurotransmitter gamma-aminobutyric acid (GABA) in the human brain. Its increasing popularity has been aided by improvements in scanner hardware and acquisition methodology, as well as by broader access to pulse sequences that can selectively detect GABA, in particular J-difference spectral editing sequences. Nevertheless, implementations of GABA-edited MRS remain diverse across research sites, making comparisons between studies challenging. This large-scale multi-vendor, multi-site study seeks to better understand the factors that impact measurement outcomes of GABA-edited MRS. An international consortium of 24 research sites was formed. Data from 272 healthy adults were acquired on scanners from the three major MRI vendors and analyzed using the Gannet processing pipeline. MRS data were acquired in the medial parietal lobe with standard GABA+ and macromolecule- (MM-) suppressed GABA editing. The coefficient of variation across the entire cohort was 12% for GABA+ measurements and 28% for MM-suppressed GABA measurements. A multilevel analysis revealed that most of the variance (72%) in the GABA+ data was accounted for by differences between participants within-site, while site-level differences accounted for comparatively more variance (20%) than vendor-level differences (8%). For MM-suppressed GABA data, the variance was distributed equally between site- (50%) and participant-level (50%) differences. The findings show that GABA+ measurements exhibit strong agreement when implemented with a standard protocol. There is, however, increased variability for MM-suppressed GABA measurements that is attributed in part to differences in site-to-site data acquisition. This study's protocol establishes a framework for future methodological standardization of GABA-edited MRS, while the results provide valuable benchmarks for the MRS community.},
keywords = {Adult
Brain/*metabolism
Datasets as Topic
Female
Humans
Magnetic Resonance Spectroscopy/instrumentation/methods/*standards
Male
Young Adult
gamma-Aminobutyric Acid/*analysis
*Editing
*Gaba
*Mega-press
*Mrs
*Multi-site study},
ISSN = {1095-9572 (Electronic)
1053-8119 (Linking)},
DOI = {10.1016/j.neuroimage.2017.07.021},
url = {http://www.ncbi.nlm.nih.gov/pubmed/28716717
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700835/pdf/nihms895486.pdf},
year = {2017},
type = {Journal Article}
}
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GABA: Edited MR spectroscopy at 24 research sites","journal":"Neuroimage","volume":"159","pages":"32-45","note":"Mikkelsen, Mark Barker, Peter B Bhattacharyya, Pallab K Brix, Maiken K Buur, Pieter F Cecil, Kim M Chan, Kimberly L Chen, David Y-T Craven, Alexander R Cuypers, Koen Dacko, Michael Duncan, Niall W Dydak, Ulrike Edmondson, David A Ende, Gabriele Ersland, Lars Gao, Fei Greenhouse, Ian Harris, Ashley D He, Naying Heba, Stefanie Hoggard, Nigel Hsu, Tun-Wei Jansen, Jacobus F A Kangarlu, Alayar Lange, Thomas Lebel, R Marc Li, Yan Lin, Chien-Yuan E Liou, Jy-Kang Lirng, Jiing-Feng Liu, Feng Ma, Ruoyun Maes, Celine Moreno-Ortega, Marta Murray, Scott O Noah, Sean Noeske, Ralph Noseworthy, Michael D Oeltzschner, Georg Prisciandaro, James J Puts, Nicolaas A J Roberts, Timothy P L Sack, Markus Sailasuta, Napapon Saleh, Muhammad G Schallmo, Michael-Paul Simard, Nicholas Swinnen, Stephan P Tegenthoff, Martin Truong, Peter Wang, Guangbin Wilkinson, Iain D Wittsack, Hans-Jorg Xu, Hongmin Yan, Fuhua Zhang, Chencheng Zipunnikov, Vadim Zollner, Helge J Edden, Richard A E eng R01 EB023963/EB/NIBIB NIH HHS/ R21 DA043917/DA/NIDA NIH HHS/ P50 AA010761/AA/NIAAA NIH HHS/ R01 AA025365/AA/NIAAA NIH HHS/ U54 HD086984/HD/NICHD NIH HHS/ K23 AA020842/AA/NIAAA NIH HHS/ K99 MH107719/MH/NIMH NIH HHS/ R00 MH107719/MH/NIMH NIH HHS/ P41 EB015909/EB/NIBIB NIH HHS/ F32 EY025121/EY/NEI NIH HHS/ R01 EB016089/EB/NIBIB NIH HHS/ Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't 2017/07/19 06:00 Neuroimage. 2017 Oct 1;159:32-45. doi: 10.1016/j.neuroimage.2017.07.021. Epub 2017 Jul 14.","abstract":"Magnetic resonance spectroscopy (MRS) is the only biomedical imaging method that can noninvasively detect endogenous signals from the neurotransmitter gamma-aminobutyric acid (GABA) in the human brain. Its increasing popularity has been aided by improvements in scanner hardware and acquisition methodology, as well as by broader access to pulse sequences that can selectively detect GABA, in particular J-difference spectral editing sequences. Nevertheless, implementations of GABA-edited MRS remain diverse across research sites, making comparisons between studies challenging. This large-scale multi-vendor, multi-site study seeks to better understand the factors that impact measurement outcomes of GABA-edited MRS. An international consortium of 24 research sites was formed. Data from 272 healthy adults were acquired on scanners from the three major MRI vendors and analyzed using the Gannet processing pipeline. MRS data were acquired in the medial parietal lobe with standard GABA+ and macromolecule- (MM-) suppressed GABA editing. The coefficient of variation across the entire cohort was 12% for GABA+ measurements and 28% for MM-suppressed GABA measurements. A multilevel analysis revealed that most of the variance (72%) in the GABA+ data was accounted for by differences between participants within-site, while site-level differences accounted for comparatively more variance (20%) than vendor-level differences (8%). For MM-suppressed GABA data, the variance was distributed equally between site- (50%) and participant-level (50%) differences. The findings show that GABA+ measurements exhibit strong agreement when implemented with a standard protocol. There is, however, increased variability for MM-suppressed GABA measurements that is attributed in part to differences in site-to-site data acquisition. This study's protocol establishes a framework for future methodological standardization of GABA-edited MRS, while the results provide valuable benchmarks for the MRS community.","keywords":"Adult Brain/*metabolism Datasets as Topic Female Humans Magnetic Resonance Spectroscopy/instrumentation/methods/*standards Male Young Adult gamma-Aminobutyric Acid/*analysis *Editing *Gaba *Mega-press *Mrs *Multi-site study","issn":"1095-9572 (Electronic) 1053-8119 (Linking)","doi":"10.1016/j.neuroimage.2017.07.021","url":"http://www.ncbi.nlm.nih.gov/pubmed/28716717 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700835/pdf/nihms895486.pdf","year":"2017","bibtex":"@article{RN196,\n author = {Mikkelsen, M. and Barker, P. B. and Bhattacharyya, P. K. and Brix, M. K. and Buur, P. F. and Cecil, K. M. and Chan, K. L. and Chen, D. Y. and Craven, A. R. and Cuypers, K. and Dacko, M. and Duncan, N. W. and Dydak, U. and Edmondson, D. A. and Ende, G. and Ersland, L. and Gao, F. and Greenhouse, I. and Harris, A. D. and He, N. and Heba, S. and Hoggard, N. and Hsu, T. W. and Jansen, J. F. A. and Kangarlu, A. and Lange, T. and Lebel, R. M. and Li, Y. and Lin, C. E. and Liou, J. K. and Lirng, J. F. and Liu, F. and Ma, R. and Maes, C. and Moreno-Ortega, M. and Murray, S. O. and Noah, S. and Noeske, R. and Noseworthy, M. D. and Oeltzschner, G. and Prisciandaro, J. J. and Puts, N. A. J. and Roberts, T. P. L. and Sack, M. and Sailasuta, N. and Saleh, M. G. and Schallmo, M. P. and Simard, N. and Swinnen, S. P. and Tegenthoff, M. and Truong, P. and Wang, G. and Wilkinson, I. D. and Wittsack, H. J. and Xu, H. and Yan, F. and Zhang, C. and Zipunnikov, V. and Zollner, H. J. and Edden, R. A. E.},\n title = {Big GABA: Edited MR spectroscopy at 24 research sites},\n journal = {Neuroimage},\n volume = {159},\n pages = {32-45},\n note = {Mikkelsen, Mark\nBarker, Peter B\nBhattacharyya, Pallab K\nBrix, Maiken K\nBuur, Pieter F\nCecil, Kim M\nChan, Kimberly L\nChen, David Y-T\nCraven, Alexander R\nCuypers, Koen\nDacko, Michael\nDuncan, Niall W\nDydak, Ulrike\nEdmondson, David A\nEnde, Gabriele\nErsland, Lars\nGao, Fei\nGreenhouse, Ian\nHarris, Ashley D\nHe, Naying\nHeba, Stefanie\nHoggard, Nigel\nHsu, Tun-Wei\nJansen, Jacobus F A\nKangarlu, Alayar\nLange, Thomas\nLebel, R Marc\nLi, Yan\nLin, Chien-Yuan E\nLiou, Jy-Kang\nLirng, Jiing-Feng\nLiu, Feng\nMa, Ruoyun\nMaes, Celine\nMoreno-Ortega, Marta\nMurray, Scott O\nNoah, Sean\nNoeske, Ralph\nNoseworthy, Michael D\nOeltzschner, Georg\nPrisciandaro, James J\nPuts, Nicolaas A J\nRoberts, Timothy P L\nSack, Markus\nSailasuta, Napapon\nSaleh, Muhammad G\nSchallmo, Michael-Paul\nSimard, Nicholas\nSwinnen, Stephan P\nTegenthoff, Martin\nTruong, Peter\nWang, Guangbin\nWilkinson, Iain D\nWittsack, Hans-Jorg\nXu, Hongmin\nYan, Fuhua\nZhang, Chencheng\nZipunnikov, Vadim\nZollner, Helge J\nEdden, Richard A E\neng\nR01 EB023963/EB/NIBIB NIH HHS/\nR21 DA043917/DA/NIDA NIH HHS/\nP50 AA010761/AA/NIAAA NIH HHS/\nR01 AA025365/AA/NIAAA NIH HHS/\nU54 HD086984/HD/NICHD NIH HHS/\nK23 AA020842/AA/NIAAA NIH HHS/\nK99 MH107719/MH/NIMH NIH HHS/\nR00 MH107719/MH/NIMH NIH HHS/\nP41 EB015909/EB/NIBIB NIH HHS/\nF32 EY025121/EY/NEI NIH HHS/\nR01 EB016089/EB/NIBIB NIH HHS/\nMulticenter Study\nResearch Support, N.I.H., Extramural\nResearch Support, Non-U.S. Gov't\n2017/07/19 06:00\nNeuroimage. 2017 Oct 1;159:32-45. doi: 10.1016/j.neuroimage.2017.07.021. Epub 2017 Jul 14.},\n abstract = {Magnetic resonance spectroscopy (MRS) is the only biomedical imaging method that can noninvasively detect endogenous signals from the neurotransmitter gamma-aminobutyric acid (GABA) in the human brain. Its increasing popularity has been aided by improvements in scanner hardware and acquisition methodology, as well as by broader access to pulse sequences that can selectively detect GABA, in particular J-difference spectral editing sequences. Nevertheless, implementations of GABA-edited MRS remain diverse across research sites, making comparisons between studies challenging. This large-scale multi-vendor, multi-site study seeks to better understand the factors that impact measurement outcomes of GABA-edited MRS. An international consortium of 24 research sites was formed. Data from 272 healthy adults were acquired on scanners from the three major MRI vendors and analyzed using the Gannet processing pipeline. MRS data were acquired in the medial parietal lobe with standard GABA+ and macromolecule- (MM-) suppressed GABA editing. The coefficient of variation across the entire cohort was 12% for GABA+ measurements and 28% for MM-suppressed GABA measurements. A multilevel analysis revealed that most of the variance (72%) in the GABA+ data was accounted for by differences between participants within-site, while site-level differences accounted for comparatively more variance (20%) than vendor-level differences (8%). For MM-suppressed GABA data, the variance was distributed equally between site- (50%) and participant-level (50%) differences. The findings show that GABA+ measurements exhibit strong agreement when implemented with a standard protocol. There is, however, increased variability for MM-suppressed GABA measurements that is attributed in part to differences in site-to-site data acquisition. This study's protocol establishes a framework for future methodological standardization of GABA-edited MRS, while the results provide valuable benchmarks for the MRS community.},\n keywords = {Adult\nBrain/*metabolism\nDatasets as Topic\nFemale\nHumans\nMagnetic Resonance Spectroscopy/instrumentation/methods/*standards\nMale\nYoung Adult\ngamma-Aminobutyric Acid/*analysis\n*Editing\n*Gaba\n*Mega-press\n*Mrs\n*Multi-site study},\n ISSN = {1095-9572 (Electronic)\n1053-8119 (Linking)},\n DOI = {10.1016/j.neuroimage.2017.07.021},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/28716717\nhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700835/pdf/nihms895486.pdf},\n year = {2017},\n type = {Journal Article}\n}\n\n","author_short":["Mikkelsen, M.","Barker, P. B.","Bhattacharyya, P. K.","Brix, M. K.","Buur, P. F.","Cecil, K. M.","Chan, K. L.","Chen, D. Y.","Craven, A. R.","Cuypers, K.","Dacko, M.","Duncan, N. W.","Dydak, U.","Edmondson, D. A.","Ende, G.","Ersland, L.","Gao, F.","Greenhouse, I.","Harris, A. D.","He, N.","Heba, S.","Hoggard, N.","Hsu, T. W.","Jansen, J. F. A.","Kangarlu, A.","Lange, T.","Lebel, R. M.","Li, Y.","Lin, C. E.","Liou, J. K.","Lirng, J. F.","Liu, F.","Ma, R.","Maes, C.","Moreno-Ortega, M.","Murray, S. O.","Noah, S.","Noeske, R.","Noseworthy, M. D.","Oeltzschner, G.","Prisciandaro, J. J.","Puts, N. A. J.","Roberts, T. P. L.","Sack, M.","Sailasuta, N.","Saleh, M. G.","Schallmo, M. P.","Simard, N.","Swinnen, S. P.","Tegenthoff, M.","Truong, P.","Wang, G.","Wilkinson, I. D.","Wittsack, H. J.","Xu, H.","Yan, F.","Zhang, C.","Zipunnikov, V.","Zollner, H. J.","Edden, R. A. E."],"key":"RN196","id":"RN196","bibbaseid":"mikkelsen-barker-bhattacharyya-brix-buur-cecil-chan-chen-etal-biggabaeditedmrspectroscopyat24researchsites-2017","role":"author","urls":{"Paper":"http://www.ncbi.nlm.nih.gov/pubmed/28716717 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700835/pdf/nihms895486.pdf"},"keyword":["Adult Brain/*metabolism Datasets as Topic Female Humans Magnetic Resonance Spectroscopy/instrumentation/methods/*standards Male Young Adult gamma-Aminobutyric Acid/*analysis *Editing *Gaba *Mega-press *Mrs *Multi-site study"],"metadata":{"authorlinks":{"jansen, j":"https://www.jansenjfa.com/publications/"}},"downloads":0,"html":""},"search_terms":["big","gaba","edited","spectroscopy","research","sites","mikkelsen","barker","bhattacharyya","brix","buur","cecil","chan","chen","craven","cuypers","dacko","duncan","dydak","edmondson","ende","ersland","gao","greenhouse","harris","he","heba","hoggard","hsu","jansen","kangarlu","lange","lebel","li","lin","liou","lirng","liu","ma","maes","moreno-ortega","murray","noah","noeske","noseworthy","oeltzschner","prisciandaro","puts","roberts","sack","sailasuta","saleh","schallmo","simard","swinnen","tegenthoff","truong","wang","wilkinson","wittsack","xu","yan","zhang","zipunnikov","zollner","edden"],"keywords":["adult brain/*metabolism datasets as topic female humans magnetic resonance spectroscopy/instrumentation/methods/*standards male young adult gamma-aminobutyric acid/*analysis *editing *gaba *mega-press *mrs *multi-site study"],"authorIDs":["59aae01e5ead235c6f00001d","5df1707557cfb4de0100001d","5e024e386ffa15df0100007a","5e47cbe8af70c7de0100001a","5e4ea88f64b624de01000110","5e685fc7149172de01000144","9uYiZAT4SGYEdwuhG","CHX5tw5dNmS7tFMt9","DoNKbgB55xkR6SehT","FEbMpouv9cRyJBZv3","GtL5d4iFpEuoJacN7","H6wbK4u5jYRFL8LDs","Jeci2sNzJiMSDeJvc","QqoDaykDZWJd9YuAu","RLbGKAvkbQAw2q2pz","TCejZCDssndxpTcJg","TEAWLnKpXtQE8hs6C","dR2ye6bifAsonnNMz","eJ9fizm2KNxBgiNfF","gxe8DkJ5qKbznZgZq","hGdeHv63Gb3m6CybW","hShritfXo7Lzr2RkJ","jDvmx9aE5aohaf7P7","rQrciQZhPyL9ovwM8","ryLRyF5HAWnpncbbr","sFGhcvCCManvCwLHz","zTR82AHQxLXLWt4wi"],"dataSources":["TCkfRWJAZvbLAZi29","E67ed63e84s6Mbh3x"]}