Number of subjects required in common study designs for functional GABA magnetic resonance spectroscopy in the human brain at 3 Tesla

Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ‐aminobutyric acid (GABA) and glutamate in the brain. MEGA‐PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal...

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Published inThe European journal of neuroscience Vol. 51; no. 8; pp. 1784 - 1793
Main Authors Sanaei Nezhad, Faezeh, Lea‐Carnall, Caroline A., Anton, Adriana, Jung, JeYoung, Michou, Emilia, Williams, Stephen R., Parkes, Laura M.
Format Journal Article
LanguageEnglish
Published France Wiley Subscription Services, Inc 01.04.2020
John Wiley and Sons Inc
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Abstract Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ‐aminobutyric acid (GABA) and glutamate in the brain. MEGA‐PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal. To compensate, researchers incorporate long acquisition durations (7–10 min) making functional measurements of this metabolite challenging. Here, the acquisition duration and sample sizes required to detect specific concentration changes in GABA using MEGA‐PRESS at 3 T are presented for both between‐groups and within‐session study designs. 75 spectra were acquired during rest using MEGA‐PRESS from 41 healthy volunteers in 6 different brain regions at 3 T with voxel sizes between 13 and 22 cm3. Between‐group and within‐session variance was calculated for different acquisition durations and power calculations were performed to determine the number of subjects required to detect a given percentage change in GABA/NAA signal ratio. Within‐subject variability was assessed by sampling different segments of a single acquisition. Power calculations suggest that detecting a 15% change in GABA using a 2 min acquisition and a 27 cm3 voxel size, depending on the region, requires between 8 and 93 subjects using a within‐session design. A between‐group design typically requires more participants to detect the same difference. In brain regions with suboptimal shimming, the subject numbers can be up to 4‐fold more. Collecting data for longer than 4 min in brain regions examined in this study is deemed unnecessary, as variance in the signal did not reduce further for longer durations. The impact of acquisition time on variability of GABA data. The figure shows the relative SD of regional GABA estimates across subjects. In general, there is little benefit in collecting data beyond 4 min acquisition duration in terms of improved power to detect group differences.
AbstractList Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ-aminobutyric acid (GABA) and glutamate in the brain. MEGA-PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal. To compensate, researchers incorporate long acquisition durations (7-10 min) making functional measurements of this metabolite challenging. Here, the acquisition duration and sample sizes required to detect specific concentration changes in GABA using MEGA-PRESS at 3 T are presented for both between-groups and within-session study designs. 75 spectra were acquired during rest using MEGA-PRESS from 41 healthy volunteers in 6 different brain regions at 3 T with voxel sizes between 13 and 22 cm3 . Between-group and within-session variance was calculated for different acquisition durations and power calculations were performed to determine the number of subjects required to detect a given percentage change in GABA/NAA signal ratio. Within-subject variability was assessed by sampling different segments of a single acquisition. Power calculations suggest that detecting a 15% change in GABA using a 2 min acquisition and a 27 cm3 voxel size, depending on the region, requires between 8 and 93 subjects using a within-session design. A between-group design typically requires more participants to detect the same difference. In brain regions with suboptimal shimming, the subject numbers can be up to 4-fold more. Collecting data for longer than 4 min in brain regions examined in this study is deemed unnecessary, as variance in the signal did not reduce further for longer durations.Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ-aminobutyric acid (GABA) and glutamate in the brain. MEGA-PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal. To compensate, researchers incorporate long acquisition durations (7-10 min) making functional measurements of this metabolite challenging. Here, the acquisition duration and sample sizes required to detect specific concentration changes in GABA using MEGA-PRESS at 3 T are presented for both between-groups and within-session study designs. 75 spectra were acquired during rest using MEGA-PRESS from 41 healthy volunteers in 6 different brain regions at 3 T with voxel sizes between 13 and 22 cm3 . Between-group and within-session variance was calculated for different acquisition durations and power calculations were performed to determine the number of subjects required to detect a given percentage change in GABA/NAA signal ratio. Within-subject variability was assessed by sampling different segments of a single acquisition. Power calculations suggest that detecting a 15% change in GABA using a 2 min acquisition and a 27 cm3 voxel size, depending on the region, requires between 8 and 93 subjects using a within-session design. A between-group design typically requires more participants to detect the same difference. In brain regions with suboptimal shimming, the subject numbers can be up to 4-fold more. Collecting data for longer than 4 min in brain regions examined in this study is deemed unnecessary, as variance in the signal did not reduce further for longer durations.
Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ‐aminobutyric acid (GABA) and glutamate in the brain. MEGA‐PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal. To compensate, researchers incorporate long acquisition durations (7–10 min) making functional measurements of this metabolite challenging. Here, the acquisition duration and sample sizes required to detect specific concentration changes in GABA using MEGA‐PRESS at 3 T are presented for both between‐groups and within‐session study designs. 75 spectra were acquired during rest using MEGA‐PRESS from 41 healthy volunteers in 6 different brain regions at 3 T with voxel sizes between 13 and 22 cm 3 . Between‐group and within‐session variance was calculated for different acquisition durations and power calculations were performed to determine the number of subjects required to detect a given percentage change in GABA/NAA signal ratio. Within‐subject variability was assessed by sampling different segments of a single acquisition. Power calculations suggest that detecting a 15% change in GABA using a 2 min acquisition and a 27 cm 3 voxel size, depending on the region, requires between 8 and 93 subjects using a within‐session design. A between‐group design typically requires more participants to detect the same difference. In brain regions with suboptimal shimming, the subject numbers can be up to 4‐fold more. Collecting data for longer than 4 min in brain regions examined in this study is deemed unnecessary, as variance in the signal did not reduce further for longer durations. The impact of acquisition time on variability of GABA data. The figure shows the relative SD of regional GABA estimates across subjects. In general, there is little benefit in collecting data beyond 4 min acquisition duration in terms of improved power to detect group differences.
Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ-aminobutyric acid (GABA) and glutamate in the brain. MEGA-PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal. To compensate, researchers incorporate long acquisition durations (7-10 min) making functional measurements of this metabolite challenging. Here, the acquisition duration and sample sizes required to detect specific concentration changes in GABA using MEGA-PRESS at 3 T are presented for both between-groups and within-session study designs. 75 spectra were acquired during rest using MEGA-PRESS from 41 healthy volunteers in 6 different brain regions at 3 T with voxel sizes between 13 and 22 cm . Between-group and within-session variance was calculated for different acquisition durations and power calculations were performed to determine the number of subjects required to detect a given percentage change in GABA/NAA signal ratio. Within-subject variability was assessed by sampling different segments of a single acquisition. Power calculations suggest that detecting a 15% change in GABA using a 2 min acquisition and a 27 cm voxel size, depending on the region, requires between 8 and 93 subjects using a within-session design. A between-group design typically requires more participants to detect the same difference. In brain regions with suboptimal shimming, the subject numbers can be up to 4-fold more. Collecting data for longer than 4 min in brain regions examined in this study is deemed unnecessary, as variance in the signal did not reduce further for longer durations.
Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ‐aminobutyric acid (GABA) and glutamate in the brain. MEGA‐PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal. To compensate, researchers incorporate long acquisition durations (7–10 min) making functional measurements of this metabolite challenging. Here, the acquisition duration and sample sizes required to detect specific concentration changes in GABA using MEGA‐PRESS at 3 T are presented for both between‐groups and within‐session study designs. 75 spectra were acquired during rest using MEGA‐PRESS from 41 healthy volunteers in 6 different brain regions at 3 T with voxel sizes between 13 and 22 cm3. Between‐group and within‐session variance was calculated for different acquisition durations and power calculations were performed to determine the number of subjects required to detect a given percentage change in GABA/NAA signal ratio. Within‐subject variability was assessed by sampling different segments of a single acquisition. Power calculations suggest that detecting a 15% change in GABA using a 2 min acquisition and a 27 cm3 voxel size, depending on the region, requires between 8 and 93 subjects using a within‐session design. A between‐group design typically requires more participants to detect the same difference. In brain regions with suboptimal shimming, the subject numbers can be up to 4‐fold more. Collecting data for longer than 4 min in brain regions examined in this study is deemed unnecessary, as variance in the signal did not reduce further for longer durations. The impact of acquisition time on variability of GABA data. The figure shows the relative SD of regional GABA estimates across subjects. In general, there is little benefit in collecting data beyond 4 min acquisition duration in terms of improved power to detect group differences.
Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ‐aminobutyric acid (GABA) and glutamate in the brain. MEGA‐PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal. To compensate, researchers incorporate long acquisition durations (7–10 min) making functional measurements of this metabolite challenging. Here, the acquisition duration and sample sizes required to detect specific concentration changes in GABA using MEGA‐PRESS at 3 T are presented for both between‐groups and within‐session study designs. 75 spectra were acquired during rest using MEGA‐PRESS from 41 healthy volunteers in 6 different brain regions at 3 T with voxel sizes between 13 and 22 cm 3 . Between‐group and within‐session variance was calculated for different acquisition durations and power calculations were performed to determine the number of subjects required to detect a given percentage change in GABA/NAA signal ratio. Within‐subject variability was assessed by sampling different segments of a single acquisition. Power calculations suggest that detecting a 15% change in GABA using a 2 min acquisition and a 27 cm 3 voxel size, depending on the region, requires between 8 and 93 subjects using a within‐session design. A between‐group design typically requires more participants to detect the same difference. In brain regions with suboptimal shimming, the subject numbers can be up to 4‐fold more. Collecting data for longer than 4 min in brain regions examined in this study is deemed unnecessary, as variance in the signal did not reduce further for longer durations.
Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ‐aminobutyric acid (GABA) and glutamate in the brain. MEGA‐PRESS has been the preferred pulse sequence for GABA measurements due to low physiological GABA concentrations, hence low signal. To compensate, researchers incorporate long acquisition durations (7–10 min) making functional measurements of this metabolite challenging. Here, the acquisition duration and sample sizes required to detect specific concentration changes in GABA using MEGA‐PRESS at 3 T are presented for both between‐groups and within‐session study designs. 75 spectra were acquired during rest using MEGA‐PRESS from 41 healthy volunteers in 6 different brain regions at 3 T with voxel sizes between 13 and 22 cm3. Between‐group and within‐session variance was calculated for different acquisition durations and power calculations were performed to determine the number of subjects required to detect a given percentage change in GABA/NAA signal ratio. Within‐subject variability was assessed by sampling different segments of a single acquisition. Power calculations suggest that detecting a 15% change in GABA using a 2 min acquisition and a 27 cm3 voxel size, depending on the region, requires between 8 and 93 subjects using a within‐session design. A between‐group design typically requires more participants to detect the same difference. In brain regions with suboptimal shimming, the subject numbers can be up to 4‐fold more. Collecting data for longer than 4 min in brain regions examined in this study is deemed unnecessary, as variance in the signal did not reduce further for longer durations.
Author Parkes, Laura M.
Michou, Emilia
Sanaei Nezhad, Faezeh
Lea‐Carnall, Caroline A.
Anton, Adriana
Jung, JeYoung
Williams, Stephen R.
AuthorAffiliation 3 School of Psychology University of Nottingham Nottingham UK
2 Division of Neuroscience and Experimental Psychology University of Manchester Manchester UK
1 Division of Informatics, Imaging and Data Science University of Manchester Manchester UK
4 School of Rehabilitation Sciences University of Patras Patras Greece
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Cites_doi 10.1002/nbm.3847
10.1016/j.neuroimage.2012.12.004
10.7554/eLife.08789
10.1016/j.cub.2011.01.069
10.1016/j.neulet.2017.02.039
10.1136/bmj.312.7047.1654
10.1152/jn.00346.2005
10.1002/mrm.22671
10.1002/(SICI)1099-1492(199810)11:6<266::AID-NBM530>3.0.CO;2-J
10.1016/j.neuroimage.2013.05.068
10.1007/s00330-010-1971-8
10.1016/j.neuroimage.2017.04.030
10.1016/j.pnmrs.2011.06.001
10.1016/j.neuroimage.2009.09.007
10.1002/mrm.1910360327
10.1002/nbm.895
10.1016/j.neuroscience.2016.07.010
10.1006/jmre.1997.1244
10.1016/j.neuroimage.2014.10.042
10.1016/j.neuroimage.2013.07.049
10.1002/jmri.22520
10.1002/jnr.23194
10.1002/1099-1492(200005)13:3<129::AID-NBM619>3.0.CO;2-V
10.1016/S0959-8049(96)00244-4
10.1002/mrm.20761
10.1002/hbm.21086
10.1038/jcbfm.2012.33
10.1002/nbm.3539
10.1093/ndt/gfq563
10.1371/journal.pone.0031933
10.1523/JNEUROSCI.0079-17.2017
10.1016/j.neuroimage.2013.01.009
10.1088/0957-0233/20/10/104035
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Issue 8
Keywords GABA
power calculation
MEGA-PRESS
quantification
fMRS
precision
Language English
License Attribution
2019 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.
This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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The peer review history for this article is available at https://publons.com/publon/10.1111/EJN.14618
Edited by Guillaume Rousselet.
Faezeh Sanaei Nezhad and Caroline Lea‐Carnall contributed equally to this work.
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References_xml – volume: 129
  start-page: 35
  issue: 1
  year: 1997
  end-page: 43
  article-title: Improved method for accurate and efficient quantification of MRS data with use of prior knowledge
  publication-title: Journal of Magnetic Resonance Imaging
– volume: 21
  start-page: 807
  issue: 4
  year: 2011
  end-page: 815
  article-title: Insula‐specific responses induced by dental pain. A proton magnetic resonance spectroscopy study
  publication-title: European Radiology
– volume: 21
  start-page: 480
  year: 2011
  end-page: 484
  article-title: The role of GABA in human motor learning
  publication-title: Current Biology
– volume: 33
  start-page: 1262
  issue: 5
  year: 2011
  end-page: 1267
  article-title: In vivo detection of GABA and glutamate with MEGA‐PRESS: Reproducibility and gender effects
  publication-title: Journal of Magnetic Resonance Imaging
– volume: 29
  start-page: 932
  issue: 7
  year: 2016
  end-page: 942
  article-title: Brain γ‐aminobutyric acid (GABA) detection in vivo with the J ‐editing 1 H MRS technique: a comprehensive methodological evaluation of sensitivity enhancement, macromolecule contamination and test‐retest reliability
  publication-title: NMR Biomedicine
– year: 1996
– volume: 85
  start-page: 823
  year: 2014
  end-page: 833
  article-title: Glutamatergic correlates of gamma‐band oscillatory activity during cognition: A concurrent ER‐MRS and EEG study
  publication-title: NeuroImage
– volume: 7
  issue: 4
  year: 2012
  article-title: Michels L Martin E Klaver P . Frontal GABA levels change during working memory
  publication-title: PLoS ONE
– volume: 20
  start-page: 104035
  issue: 10
  year: 2009
  end-page: 104044
  article-title: Quantitation of magnetic resonance spectroscopy signals: The jMRUI software package
  publication-title: Measurement Science and Technology
– volume: 86
  start-page: 1
  year: 2014
  end-page: 9
  article-title: GABA estimation in the brains of children on the autism spectrum: Measurement precision and regional cortical variation
  publication-title: NeuroImage
– volume: 643
  start-page: 121
  year: 2017
  end-page: 124
  article-title: Reliability of glutamate and GABA quantification using proton magnetic resonance spectroscopy
  publication-title: Neuroscience Letters
– volume: 37
  start-page: 4065
  issue: 15
  year: 2017
  end-page: 4073
  article-title: tDCS‐induced modulation of GABA levels and resting‐state functional connectivity in older adults
  publication-title: Journal of Neuroscience
– volume: 32
  start-page: 1484
  issue: 8
  year: 2012
  end-page: 1495
  article-title: Investigating the metabolic changes due to visual stimulation using functional proton magnetic resonance spectroscopy at 7 T
  publication-title: Journal of Cerebral Blood Flow and Metabolism
– volume: 13
  start-page: 129
  issue: 3
  year: 2000
  end-page: 153
  article-title: Proton NMR chemical shifts and coupling constants for brain metabolites
  publication-title: NMR in Biomedicine
– volume: 91
  start-page: 1076
  issue: 8
  year: 2013
  end-page: 1083
  article-title: Net increase of lactate and glutamate concentration in activated human visual cortex detected with magnetic resonance spectroscopy at 7 tesla
  publication-title: Journal of Neuroscience Research
– volume: 49
  start-page: 1895
  issue: 2
  year: 2010
  end-page: 1902
  article-title: Time‐resolved functional 1H MR spectroscopic detection of glutamate concentration changes in the brain during acute heat pain stimulation
  publication-title: NeuroImage
– volume: 105
  start-page: 67
  year: 2015
  end-page: 75
  article-title: In vivo detection of acute pain‐induced changes of GABA+ and Glx in the human brain by using functional 1H MEGA‐PRESS MR spectroscopy
  publication-title: NeuroImage
– volume: 312
  start-page: 1654
  issue: 7047
  year: 1996
  end-page: 1654
  article-title: Statistics notes: Measurement error
  publication-title: BMJ
– volume: 333
  start-page: 114
  year: 2016
  end-page: 122
  article-title: GABA levels in the ventromedial prefrontal cortex during the viewing of appetitive and disgusting food images
  publication-title: Neuroscience
– volume: 36
  start-page: 494
  issue: 3
  year: 1996
  end-page: 497
  article-title: Noise in MRI
  publication-title: Magnetic Resonance in Medicine
– volume: 32
  start-page: 828
  issue: 5
  year: 2011
  end-page: 833
  article-title: Measurement of variation in the human cerebral GABA level by in vivo MEGA‐editing proton MR spectroscopy using a clinical 3 T instrument and its dependence on brain region and the female menstrual cycle
  publication-title: Human Brain Mapping
– volume: 65
  start-page: 603
  issue: 3
  year: 2011
  end-page: 609
  article-title: High resolution spectroscopic imaging of GABA at 3 Tesla
  publication-title: Magnetic Resonance in Medicine
– volume: 25
  start-page: 3461
  issue: 10
  year: 2010
  end-page: 3462
  article-title: Sample size calculations: Basic principles and common pitfalls
  publication-title: Nephrology, Dialysis, Transplantation
– volume: 108
  start-page: 38
  issue: A
  year: 1994
  end-page: 50
  article-title: The effects of frequency‐selective RF pulses on J‐coupled spin‐1/2 systems
  publication-title: Journal of Magnetic Resonance Imaging
– volume: 11
  start-page: 266
  issue: 6
  year: 1998
  end-page: 272
  article-title: Simultaneous in vivo spectral editing and water suppression
  publication-title: NMR in Biomedicine
– volume: 60
  start-page: 29
  year: 2012
  end-page: 41
  article-title: In vivo magnetic resonance spectroscopy of GABA: A methodological review
  publication-title: Progress in Nuclear Magnetic Resonance Spectroscopy
– volume: 4
  start-page: 1023
  year: 2015
  article-title: Modulation of GABA and resting state functional connectivity by transcranial direct current stimulation
  publication-title: Elife
– volume: 1
  start-page: 43
  issue: 86
  year: 2014
  end-page: 52
  article-title: Current practice in the use of MEGA‐PRESS spectroscopy for the detection of GABA
  publication-title: NeuroImage
– volume: 86
  start-page: 19
  year: 2014
  end-page: 27
  article-title: Magnetic resonance spectroscopy as a tool to study the role of GABA in motor‐cortical plasticity
  publication-title: NeuroImage
– volume: 55
  start-page: 296
  issue: 2
  year: 2006
  end-page: 301
  article-title: Proton MRS of the unilateral substantia nigra in the human brain at 4 tesla: Detection of high GABA concentrations
  publication-title: Magn Reson Imaging Med
– year: 2017
– volume: 155
  start-page: 113
  year: 2017
  end-page: 119
  article-title: Combined fMRI‐MRS acquires simultaneous glutamate and BOLD‐fMRI signals in the human brain
  publication-title: NeuroImage
– volume: 95
  start-page: 1639
  year: 2006
  end-page: 1644
  article-title: Rapid modulation of GABA concentration in human sensorimotor cortex during motor learning
  publication-title: Journal of Neurophysiology
– volume: 18
  start-page: 1
  issue: 1
  year: 2005
  end-page: 13
  article-title: Time‐domain semi‐parametric estimation based on a metabolite basis set
  publication-title: NMR in Biomedicine
– volume: 31
  issue: 1
  year: 2017
  article-title: Quantification of GABA, glutamate and glutamine in a single measurement at 3 T using GABA‐edited MEGA‐PRESS
  publication-title: NMR in Biomedicine
– ident: e_1_2_10_26_1
  doi: 10.1002/nbm.3847
– volume-title: R: A language and environment for statistical computing
  year: 2017
  ident: e_1_2_10_6_1
– ident: e_1_2_10_19_1
  doi: 10.1016/j.neuroimage.2012.12.004
– ident: e_1_2_10_3_1
  doi: 10.7554/eLife.08789
– ident: e_1_2_10_31_1
  doi: 10.1016/j.cub.2011.01.069
– ident: e_1_2_10_34_1
  doi: 10.1016/j.neulet.2017.02.039
– ident: e_1_2_10_4_1
  doi: 10.1136/bmj.312.7047.1654
– ident: e_1_2_10_7_1
  doi: 10.1152/jn.00346.2005
– ident: e_1_2_10_36_1
  doi: 10.1002/mrm.22671
– ident: e_1_2_10_17_1
  doi: 10.1002/(SICI)1099-1492(199810)11:6<266::AID-NBM530>3.0.CO;2-J
– ident: e_1_2_10_8_1
  doi: 10.1016/j.neuroimage.2013.05.068
– ident: e_1_2_10_11_1
  doi: 10.1007/s00330-010-1971-8
– ident: e_1_2_10_13_1
  doi: 10.1016/j.neuroimage.2017.04.030
– ident: e_1_2_10_24_1
  doi: 10.1016/j.pnmrs.2011.06.001
– volume: 108
  start-page: 38
  year: 1994
  ident: e_1_2_10_29_1
  article-title: The effects of frequency‐selective RF pulses on J‐coupled spin‐1/2 systems
  publication-title: Journal of Magnetic Resonance Imaging
– ident: e_1_2_10_10_1
  doi: 10.1016/j.neuroimage.2009.09.007
– ident: e_1_2_10_16_1
  doi: 10.1002/mrm.1910360327
– ident: e_1_2_10_25_1
  doi: 10.1002/nbm.895
– ident: e_1_2_10_23_1
  doi: 10.1016/j.neuroscience.2016.07.010
– ident: e_1_2_10_33_1
  doi: 10.1006/jmre.1997.1244
– ident: e_1_2_10_5_1
  doi: 10.1016/j.neuroimage.2014.10.042
– ident: e_1_2_10_14_1
  doi: 10.1016/j.neuroimage.2013.07.049
– ident: e_1_2_10_21_1
  doi: 10.1002/jmri.22520
– ident: e_1_2_10_27_1
  doi: 10.1002/jnr.23194
– ident: e_1_2_10_9_1
  doi: 10.1002/1099-1492(200005)13:3<129::AID-NBM619>3.0.CO;2-V
– ident: e_1_2_10_35_1
  doi: 10.1016/S0959-8049(96)00244-4
– ident: e_1_2_10_22_1
  doi: 10.1002/mrm.20761
– ident: e_1_2_10_12_1
  doi: 10.1002/hbm.21086
– ident: e_1_2_10_15_1
  doi: 10.1038/jcbfm.2012.33
– ident: e_1_2_10_28_1
  doi: 10.1002/nbm.3539
– ident: e_1_2_10_20_1
  doi: 10.1093/ndt/gfq563
– ident: e_1_2_10_18_1
  doi: 10.1371/journal.pone.0031933
– ident: e_1_2_10_2_1
  doi: 10.1523/JNEUROSCI.0079-17.2017
– ident: e_1_2_10_30_1
  doi: 10.1016/j.neuroimage.2013.01.009
– ident: e_1_2_10_32_1
  doi: 10.1088/0957-0233/20/10/104035
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Snippet Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ‐aminobutyric acid (GABA) and glutamate in the...
Magnetic resonance spectroscopy (MRS) is a research tool for measuring the concentration of metabolites such as γ-aminobutyric acid (GABA) and glutamate in the...
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SubjectTerms Brain
Brain - diagnostic imaging
fMRS
GABA
gamma-Aminobutyric Acid
Glutamic Acid
Humans
Magnetic Resonance Imaging
Magnetic Resonance Spectroscopy
MEGA‐PRESS
Metabolites
Neurotransmitters
power calculation
precision
quantification
Research Report
Spectrum analysis
Systems Neuroscience
γ-Aminobutyric acid
Title Number of subjects required in common study designs for functional GABA magnetic resonance spectroscopy in the human brain at 3 Tesla
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fejn.14618
https://www.ncbi.nlm.nih.gov/pubmed/31705723
https://www.proquest.com/docview/2391016468
https://www.proquest.com/docview/2313361436
https://pubmed.ncbi.nlm.nih.gov/PMC7216844
Volume 51
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