@article{RN225,
   author = {Mikkelsen, M. and Rimbault, D. L. 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 Forbes, M. A. 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 Long, J. R. 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 Porges, E. C. 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 Stoffers, D. and Swinnen, S. P. and Tegenthoff, M. and Truong, P. and Wang, G. and Wilkinson, I. D. and Wittsack, H. J. and Woods, A. 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 II: Water-referenced edited MR spectroscopy at 25 research sites},
   journal = {Neuroimage},
   volume = {191},
   pages = {537-548},
   note = {Mikkelsen, Mark
Rimbault, Daniel L
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
Forbes, Megan A
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
Long, Joanna R
Ma, Ruoyun
Maes, Celine
Moreno-Ortega, Marta
Murray, Scott O
Noah, Sean
Noeske, Ralph
Noseworthy, Michael D
Oeltzschner, Georg
Porges, Eric C
Prisciandaro, James J
Puts, Nicolaas A J
Roberts, Timothy P L
Sack, Markus
Sailasuta, Napapon
Saleh, Muhammad G
Schallmo, Michael-Paul
Simard, Nicholas
Stoffers, Diederick
Swinnen, Stephan P
Tegenthoff, Martin
Truong, Peter
Wang, Guangbin
Wilkinson, Iain D
Wittsack, Hans-Jorg
Woods, Adam J
Xu, Hongmin
Yan, Fuhua
Zhang, Chencheng
Zipunnikov, Vadim
Zollner, Helge J
Edden, Richard A E
eng
K01 AA025306/AA/NIAAA NIH HHS/
R01 EB023963/EB/NIBIB NIH HHS/
R01 AG054077/AG/NIA NIH HHS/
R00 MH107719/MH/NIMH NIH HHS/
K01 AG050707/AG/NIA NIH HHS/
R01 EB016089/EB/NIBIB NIH HHS/
Multicenter Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
2019/03/07 06:00
Neuroimage. 2019 May 1;191:537-548. doi: 10.1016/j.neuroimage.2019.02.059. Epub 2019 Mar 3.},
   abstract = {Accurate and reliable quantification of brain metabolites measured in vivo using (1)H magnetic resonance spectroscopy (MRS) is a topic of continued interest. Aside from differences in the basic approach to quantification, the quantification of metabolite data acquired at different sites and on different platforms poses an additional methodological challenge. In this study, spectrally edited gamma-aminobutyric acid (GABA) MRS data were analyzed and GABA levels were quantified relative to an internal tissue water reference. Data from 284 volunteers scanned across 25 research sites were collected using GABA+ (GABA + co-edited macromolecules (MM)) and MM-suppressed GABA editing. The unsuppressed water signal from the volume of interest was acquired for concentration referencing. Whole-brain T1-weighted structural images were acquired and segmented to determine gray matter, white matter and cerebrospinal fluid voxel tissue fractions. Water-referenced GABA measurements were fully corrected for tissue-dependent signal relaxation and water visibility effects. The cohort-wide coefficient of variation was 17% for the GABA + data and 29% for the MM-suppressed GABA data. The mean within-site coefficient of variation was 10% for the GABA + data and 19% for the MM-suppressed GABA data. Vendor differences contributed 53% to the total variance in the GABA + data, while the remaining variance was attributed to site- (11%) and participant-level (36%) effects. For the MM-suppressed data, 54% of the variance was attributed to site differences, while the remaining 46% was attributed to participant differences. Results from an exploratory analysis suggested that the vendor differences were related to the unsuppressed water signal acquisition. Discounting the observed vendor-specific effects, water-referenced GABA measurements exhibit similar levels of variance to creatine-referenced GABA measurements. It is concluded that quantification using internal tissue water referencing is a viable and reliable method for the quantification of in vivo GABA levels.},
   keywords = {Adolescent
Adult
Brain/*metabolism
Datasets as Topic
Female
Humans
Magnetic Resonance Spectroscopy/methods/*standards
Male
Reference Values
Water
Young Adult
gamma-Aminobutyric Acid/*analysis
*Editing
*Gaba
*Mega-press
*Mrs
*Quantification
*Tissue correction},
   ISSN = {1095-9572 (Electronic)
1053-8119 (Linking)},
   DOI = {10.1016/j.neuroimage.2019.02.059},
   url = {http://www.ncbi.nlm.nih.gov/pubmed/30840905
https://www.sciencedirect.com/science/article/abs/pii/S1053811919301557?via%3Dihub
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6818968/pdf/nihms-1524404.pdf},
   year = {2019},
   type = {Journal Article}
}

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GABA II: Water-referenced edited MR spectroscopy at 25 research sites","journal":"Neuroimage","volume":"191","pages":"537-548","note":"Mikkelsen, Mark Rimbault, Daniel L 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 Forbes, Megan A 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 Long, Joanna R Ma, Ruoyun Maes, Celine Moreno-Ortega, Marta Murray, Scott O Noah, Sean Noeske, Ralph Noseworthy, Michael D Oeltzschner, Georg Porges, Eric C Prisciandaro, James J Puts, Nicolaas A J Roberts, Timothy P L Sack, Markus Sailasuta, Napapon Saleh, Muhammad G Schallmo, Michael-Paul Simard, Nicholas Stoffers, Diederick Swinnen, Stephan P Tegenthoff, Martin Truong, Peter Wang, Guangbin Wilkinson, Iain D Wittsack, Hans-Jorg Woods, Adam J Xu, Hongmin Yan, Fuhua Zhang, Chencheng Zipunnikov, Vadim Zollner, Helge J Edden, Richard A E eng K01 AA025306/AA/NIAAA NIH HHS/ R01 EB023963/EB/NIBIB NIH HHS/ R01 AG054077/AG/NIA NIH HHS/ R00 MH107719/MH/NIMH NIH HHS/ K01 AG050707/AG/NIA NIH HHS/ R01 EB016089/EB/NIBIB NIH HHS/ Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't 2019/03/07 06:00 Neuroimage. 2019 May 1;191:537-548. doi: 10.1016/j.neuroimage.2019.02.059. Epub 2019 Mar 3.","abstract":"Accurate and reliable quantification of brain metabolites measured in vivo using (1)H magnetic resonance spectroscopy (MRS) is a topic of continued interest. Aside from differences in the basic approach to quantification, the quantification of metabolite data acquired at different sites and on different platforms poses an additional methodological challenge. In this study, spectrally edited gamma-aminobutyric acid (GABA) MRS data were analyzed and GABA levels were quantified relative to an internal tissue water reference. Data from 284 volunteers scanned across 25 research sites were collected using GABA+ (GABA + co-edited macromolecules (MM)) and MM-suppressed GABA editing. The unsuppressed water signal from the volume of interest was acquired for concentration referencing. Whole-brain T1-weighted structural images were acquired and segmented to determine gray matter, white matter and cerebrospinal fluid voxel tissue fractions. Water-referenced GABA measurements were fully corrected for tissue-dependent signal relaxation and water visibility effects. The cohort-wide coefficient of variation was 17% for the GABA + data and 29% for the MM-suppressed GABA data. The mean within-site coefficient of variation was 10% for the GABA + data and 19% for the MM-suppressed GABA data. Vendor differences contributed 53% to the total variance in the GABA + data, while the remaining variance was attributed to site- (11%) and participant-level (36%) effects. For the MM-suppressed data, 54% of the variance was attributed to site differences, while the remaining 46% was attributed to participant differences. Results from an exploratory analysis suggested that the vendor differences were related to the unsuppressed water signal acquisition. Discounting the observed vendor-specific effects, water-referenced GABA measurements exhibit similar levels of variance to creatine-referenced GABA measurements. It is concluded that quantification using internal tissue water referencing is a viable and reliable method for the quantification of in vivo GABA levels.","keywords":"Adolescent Adult Brain/*metabolism Datasets as Topic Female Humans Magnetic Resonance Spectroscopy/methods/*standards Male Reference Values Water Young Adult gamma-Aminobutyric Acid/*analysis *Editing *Gaba *Mega-press *Mrs *Quantification *Tissue correction","issn":"1095-9572 (Electronic) 1053-8119 (Linking)","doi":"10.1016/j.neuroimage.2019.02.059","url":"http://www.ncbi.nlm.nih.gov/pubmed/30840905 https://www.sciencedirect.com/science/article/abs/pii/S1053811919301557?via%3Dihub https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6818968/pdf/nihms-1524404.pdf","year":"2019","bibtex":"@article{RN225,\n author = {Mikkelsen, M. and Rimbault, D. L. 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 Forbes, M. A. 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 Long, J. R. 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 Porges, E. C. 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 Stoffers, D. and Swinnen, S. P. and Tegenthoff, M. and Truong, P. and Wang, G. and Wilkinson, I. D. and Wittsack, H. J. and Woods, A. 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 II: Water-referenced edited MR spectroscopy at 25 research sites},\n journal = {Neuroimage},\n volume = {191},\n pages = {537-548},\n note = {Mikkelsen, Mark\nRimbault, Daniel L\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\nForbes, Megan A\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\nLong, Joanna R\nMa, Ruoyun\nMaes, Celine\nMoreno-Ortega, Marta\nMurray, Scott O\nNoah, Sean\nNoeske, Ralph\nNoseworthy, Michael D\nOeltzschner, Georg\nPorges, Eric C\nPrisciandaro, James J\nPuts, Nicolaas A J\nRoberts, Timothy P L\nSack, Markus\nSailasuta, Napapon\nSaleh, Muhammad G\nSchallmo, Michael-Paul\nSimard, Nicholas\nStoffers, Diederick\nSwinnen, Stephan P\nTegenthoff, Martin\nTruong, Peter\nWang, Guangbin\nWilkinson, Iain D\nWittsack, Hans-Jorg\nWoods, Adam J\nXu, Hongmin\nYan, Fuhua\nZhang, Chencheng\nZipunnikov, Vadim\nZollner, Helge J\nEdden, Richard A E\neng\nK01 AA025306/AA/NIAAA NIH HHS/\nR01 EB023963/EB/NIBIB NIH HHS/\nR01 AG054077/AG/NIA NIH HHS/\nR00 MH107719/MH/NIMH NIH HHS/\nK01 AG050707/AG/NIA NIH HHS/\nR01 EB016089/EB/NIBIB NIH HHS/\nMulticenter Study\nResearch Support, N.I.H., Extramural\nResearch Support, Non-U.S. Gov't\n2019/03/07 06:00\nNeuroimage. 2019 May 1;191:537-548. doi: 10.1016/j.neuroimage.2019.02.059. Epub 2019 Mar 3.},\n abstract = {Accurate and reliable quantification of brain metabolites measured in vivo using (1)H magnetic resonance spectroscopy (MRS) is a topic of continued interest. Aside from differences in the basic approach to quantification, the quantification of metabolite data acquired at different sites and on different platforms poses an additional methodological challenge. In this study, spectrally edited gamma-aminobutyric acid (GABA) MRS data were analyzed and GABA levels were quantified relative to an internal tissue water reference. Data from 284 volunteers scanned across 25 research sites were collected using GABA+ (GABA + co-edited macromolecules (MM)) and MM-suppressed GABA editing. The unsuppressed water signal from the volume of interest was acquired for concentration referencing. Whole-brain T1-weighted structural images were acquired and segmented to determine gray matter, white matter and cerebrospinal fluid voxel tissue fractions. Water-referenced GABA measurements were fully corrected for tissue-dependent signal relaxation and water visibility effects. The cohort-wide coefficient of variation was 17% for the GABA + data and 29% for the MM-suppressed GABA data. The mean within-site coefficient of variation was 10% for the GABA + data and 19% for the MM-suppressed GABA data. Vendor differences contributed 53% to the total variance in the GABA + data, while the remaining variance was attributed to site- (11%) and participant-level (36%) effects. For the MM-suppressed data, 54% of the variance was attributed to site differences, while the remaining 46% was attributed to participant differences. Results from an exploratory analysis suggested that the vendor differences were related to the unsuppressed water signal acquisition. Discounting the observed vendor-specific effects, water-referenced GABA measurements exhibit similar levels of variance to creatine-referenced GABA measurements. It is concluded that quantification using internal tissue water referencing is a viable and reliable method for the quantification of in vivo GABA levels.},\n keywords = {Adolescent\nAdult\nBrain/*metabolism\nDatasets as Topic\nFemale\nHumans\nMagnetic Resonance Spectroscopy/methods/*standards\nMale\nReference Values\nWater\nYoung Adult\ngamma-Aminobutyric Acid/*analysis\n*Editing\n*Gaba\n*Mega-press\n*Mrs\n*Quantification\n*Tissue correction},\n ISSN = {1095-9572 (Electronic)\n1053-8119 (Linking)},\n DOI = {10.1016/j.neuroimage.2019.02.059},\n url = {http://www.ncbi.nlm.nih.gov/pubmed/30840905\nhttps://www.sciencedirect.com/science/article/abs/pii/S1053811919301557?via%3Dihub\nhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6818968/pdf/nihms-1524404.pdf},\n year = {2019},\n type = {Journal Article}\n}\n\n","author_short":["Mikkelsen, M.","Rimbault, D. L.","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.","Forbes, M. A.","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.","Long, J. R.","Ma, R.","Maes, C.","Moreno-Ortega, M.","Murray, S. O.","Noah, S.","Noeske, R.","Noseworthy, M. D.","Oeltzschner, G.","Porges, E. C.","Prisciandaro, J. J.","Puts, N. A. J.","Roberts, T. P. L.","Sack, M.","Sailasuta, N.","Saleh, M. G.","Schallmo, M. P.","Simard, N.","Stoffers, D.","Swinnen, S. P.","Tegenthoff, M.","Truong, P.","Wang, G.","Wilkinson, I. D.","Wittsack, H. J.","Woods, A. J.","Xu, H.","Yan, F.","Zhang, C.","Zipunnikov, V.","Zollner, H. J.","Edden, R. A. E."],"key":"RN225","id":"RN225","bibbaseid":"mikkelsen-rimbault-barker-bhattacharyya-brix-buur-cecil-chan-etal-biggabaiiwaterreferencededitedmrspectroscopyat25researchsites-2019","role":"author","urls":{"Paper":"http://www.ncbi.nlm.nih.gov/pubmed/30840905 https://www.sciencedirect.com/science/article/abs/pii/S1053811919301557?via%3Dihub https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6818968/pdf/nihms-1524404.pdf"},"keyword":["Adolescent Adult Brain/*metabolism Datasets as Topic Female Humans Magnetic Resonance Spectroscopy/methods/*standards Male Reference Values Water Young Adult gamma-Aminobutyric Acid/*analysis *Editing *Gaba *Mega-press *Mrs *Quantification *Tissue correction"],"metadata":{"authorlinks":{"jansen, j":"https://www.jansenjfa.com/publications/"}},"downloads":0,"html":""},"search_terms":["big","gaba","water","referenced","edited","spectroscopy","research","sites","mikkelsen","rimbault","barker","bhattacharyya","brix","buur","cecil","chan","chen","craven","cuypers","dacko","duncan","dydak","edmondson","ende","ersland","forbes","gao","greenhouse","harris","he","heba","hoggard","hsu","jansen","kangarlu","lange","lebel","li","lin","liou","lirng","liu","long","ma","maes","moreno-ortega","murray","noah","noeske","noseworthy","oeltzschner","porges","prisciandaro","puts","roberts","sack","sailasuta","saleh","schallmo","simard","stoffers","swinnen","tegenthoff","truong","wang","wilkinson","wittsack","woods","xu","yan","zhang","zipunnikov","zollner","edden"],"keywords":["adolescent adult brain/*metabolism datasets as topic female humans magnetic resonance spectroscopy/methods/*standards male reference values water young adult gamma-aminobutyric acid/*analysis *editing *gaba *mega-press *mrs *quantification *tissue correction"],"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"]}