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...
Saved in:
Published in | The European journal of neuroscience Vol. 51; no. 8; pp. 1784 - 1793 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
France
Wiley Subscription Services, Inc
01.04.2020
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |
AuthorAffiliation_xml | – name: 2 Division of Neuroscience and Experimental Psychology University of Manchester Manchester UK – name: 3 School of Psychology University of Nottingham Nottingham UK – name: 1 Division of Informatics, Imaging and Data Science University of Manchester Manchester UK – name: 4 School of Rehabilitation Sciences University of Patras Patras Greece |
Author_xml | – sequence: 1 givenname: Faezeh orcidid: 0000-0002-8698-9467 surname: Sanaei Nezhad fullname: Sanaei Nezhad, Faezeh organization: University of Manchester – sequence: 2 givenname: Caroline A. orcidid: 0000-0001-6814-3356 surname: Lea‐Carnall fullname: Lea‐Carnall, Caroline A. email: caroline.lea-carnall@manchester.ac.uk organization: University of Manchester – sequence: 3 givenname: Adriana orcidid: 0000-0002-1356-4513 surname: Anton fullname: Anton, Adriana organization: University of Manchester – sequence: 4 givenname: JeYoung surname: Jung fullname: Jung, JeYoung organization: University of Nottingham – sequence: 5 givenname: Emilia surname: Michou fullname: Michou, Emilia organization: University of Patras – sequence: 6 givenname: Stephen R. surname: Williams fullname: Williams, Stephen R. organization: University of Manchester – sequence: 7 givenname: Laura M. surname: Parkes fullname: Parkes, Laura M. organization: University of Manchester |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31705723$$D View this record in MEDLINE/PubMed |
BookMark | eNp9kcFu1DAQhi1URLdbDrwAssQFDmntOHacC9K2KoWqKpdW4mY5zmTXq8Te2jFoH4D3xsuWCioVX0Yef_Pr9_xH6MB5Bwi9oeSE5nMKa3dCK0HlCzTLlRQNF_IAzUjDWSGp-HaIjmJcE0KkqPgrdMhoTXhdshn6eZPGFgL2PY6pXYOZIg5wn2yADluHjR9H73CcUrfFHUS7dBH3PuA-OTNZ7_SALxdnCzzqpYPJmjwdc9cZwHGT5YKPxm-2O61pBXiVRu1wG3S-6wkzfAtx0MfoZa-HCK8f6hzdfbq4Pf9cXH-9_HK-uC5MVTFZCM47xig10JZNWQE3IFrDQTeCEwlNx6SmvJWCtL02ptQgGeGa6Zo3NdWczdHHve4mtSN0BtwU9KA2wY46bJXXVv374uxKLf13VZdUyOxhjt4_CAR_nyBOarTRwDBoBz5FVTLKmKAVExl99wRd-xTyvnZUQwkVlZCZevu3o0crfxLKwIc9YPImY4D-EaFE7dJXOX31O_3Mnj5hjZ30LqX8GTv8b-KHHWD7vLS6uLrZT_wCmXDCPw |
CitedBy_id | crossref_primary_10_1523_ENEURO_0356_20_2023 crossref_primary_10_1002_nbm_5092 crossref_primary_10_1111_ejn_14932 crossref_primary_10_1016_j_neuroimage_2025_121153 crossref_primary_10_1038_s41598_022_21907_9 crossref_primary_10_1002_jmri_28853 crossref_primary_10_1016_j_nicl_2023_103517 crossref_primary_10_1162_imag_a_00256 crossref_primary_10_1016_j_nicl_2022_103049 |
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 |
ContentType | Journal Article |
Copyright | 2019 The Authors. published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd. 2019 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd. 2019. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: 2019 The Authors. published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd. – notice: 2019 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd. – notice: 2019. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | 24P AAYXX CITATION CGR CUY CVF ECM EIF NPM 7QP 7QR 7TK 8FD FR3 P64 7X8 5PM |
DOI | 10.1111/ejn.14618 |
DatabaseName | Wiley Online Library Open Access CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Neurosciences Abstracts Technology Research Database Engineering Research Database Biotechnology and BioEngineering Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Chemoreception Abstracts Engineering Research Database Technology Research Database Calcium & Calcified Tissue Abstracts Neurosciences Abstracts Biotechnology and BioEngineering Abstracts MEDLINE - Academic |
DatabaseTitleList | MEDLINE - Academic MEDLINE CrossRef Chemoreception Abstracts |
Database_xml | – sequence: 1 dbid: 24P name: Wiley Online Library Open Access url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Anatomy & Physiology Chemistry |
DocumentTitleAlternate | SANAEI NEZHAD et al |
EISSN | 1460-9568 |
EndPage | 1793 |
ExternalDocumentID | PMC7216844 31705723 10_1111_ejn_14618 EJN14618 |
Genre | article Research Support, Non-U.S. Gov't Journal Article Research Support, N.I.H., Extramural |
GrantInformation_xml | – fundername: NIH funderid: R01 EB016089; P41 EB015909 – fundername: UK‐Medical Research Council funderid: MR/PO14445/1; MR/J004146/1; MR/K020803/1 – fundername: EPSRC funderid: EP/M005909 – fundername: European Commission‐TRANSACT‐FP7 funderid: 316679 – fundername: Medical Research Council grantid: MR/J004146/1 – fundername: Medical Research Council grantid: MR/P014445/1 – fundername: NIBIB NIH HHS grantid: R01 EB023963 – fundername: NIBIB NIH HHS grantid: P41 EB015909 – fundername: NIBIB NIH HHS grantid: R01 EB016089 – fundername: Medical Research Council grantid: MR/K020803/1 – fundername: UK‐Medical Research Council grantid: MR/PO14445/1; MR/J004146/1; MR/K020803/1 – fundername: ; grantid: R01 EB016089; P41 EB015909 – fundername: European Commission‐TRANSACT‐FP7 grantid: 316679 – fundername: ; grantid: EP/M005909 |
GroupedDBID | --- -~X .3N .GA .GJ .Y3 05W 0R~ 10A 1OB 1OC 24P 29G 31~ 33P 36B 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52R 52S 52T 52U 52V 52W 52X 53G 5GY 5HH 5LA 5RE 5VS 66C 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A01 A03 AAESR AAEVG AAHHS AAHQN AAIPD AAMNL AANHP AANLZ AAONW AASGY AAXRX AAYCA AAZKR ABCQN ABCUV ABDBF ABEML ABIVO ABJNI ABPVW ABQWH ABXGK ACAHQ ACBWZ ACCFJ ACCZN ACFBH ACGFS ACGOF ACIWK ACMXC ACPOU ACPRK ACRPL ACSCC ACUHS ACXBN ACXQS ACYXJ ADBBV ADBTR ADEOM ADIZJ ADKYN ADMGS ADNMO ADOZA ADXAS ADZMN ADZOD AEEZP AEIGN AEIMD AENEX AEQDE AEUQT AEUYR AFBPY AFEBI AFFPM AFGKR AFPWT AFWVQ AFZJQ AHBTC AHEFC AIACR AITYG AIURR AIWBW AJBDE ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN ALVPJ AMBMR AMYDB ASPBG ATUGU AVWKF AZBYB AZFZN AZVAB BAFTC BDRZF BFHJK BHBCM BMXJE BROTX BRXPI BY8 C45 CAG COF CS3 D-6 D-7 D-E D-F DC6 DCZOG DPXWK DR2 DRFUL DRMAN DRSTM EAD EAP EAS EBC EBD EBS EBX EJD EMB EMK EMOBN EPS ESX EX3 F00 F01 F04 F5P FEDTE FUBAC FZ0 G-S G.N GAKWD GODZA H.X HF~ HGLYW HVGLF HZI HZ~ IHE IX1 J0M K48 KBYEO LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES MEWTI MK4 MRFUL MRMAN MRSTM MSFUL MSMAN MSSTM MXFUL MXMAN MXSTM N04 N05 N9A NF~ O66 O9- OIG OVD P2P P2W P2X P2Z P4B P4D PALCI PQQKQ Q.N Q11 QB0 Q~Q R.K RIG RIWAO RJQFR ROL RX1 SAMSI SUPJJ SV3 TEORI TUS UB1 W8V W99 WBKPD WHG WIH WIJ WIK WNSPC WOHZO WOW WQJ WRC WUP WXI WXSBR WYISQ XG1 YFH ZGI ZZTAW ~IA ~WT AAYXX AEYWJ AGHNM AGQPQ AGYGG CITATION AAMMB AEFGJ AGXDD AIDQK AIDYY CGR CUY CVF ECM EIF NPM 7QP 7QR 7TK 8FD FR3 P64 7X8 5PM |
ID | FETCH-LOGICAL-c4438-655d3311ceb2924e5ce6bc5ea96508e9d38a15b860bfacc2ae8305a3a75971a53 |
IEDL.DBID | DR2 |
ISSN | 0953-816X 1460-9568 |
IngestDate | Thu Aug 21 18:14:32 EDT 2025 Fri Jul 11 05:54:21 EDT 2025 Sat Jul 26 03:34:15 EDT 2025 Mon Jul 21 05:43:13 EDT 2025 Tue Jul 01 03:02:22 EDT 2025 Thu Apr 24 23:01:31 EDT 2025 Wed Jan 22 16:34:21 EST 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
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. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c4438-655d3311ceb2924e5ce6bc5ea96508e9d38a15b860bfacc2ae8305a3a75971a53 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 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. |
ORCID | 0000-0002-1356-4513 0000-0002-8698-9467 0000-0001-6814-3356 |
OpenAccessLink | https://proxy.k.utb.cz/login?url=https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fejn.14618 |
PMID | 31705723 |
PQID | 2391016468 |
PQPubID | 34057 |
PageCount | 10 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_7216844 proquest_miscellaneous_2313361436 proquest_journals_2391016468 pubmed_primary_31705723 crossref_primary_10_1111_ejn_14618 crossref_citationtrail_10_1111_ejn_14618 wiley_primary_10_1111_ejn_14618_EJN14618 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | April 2020 |
PublicationDateYYYYMMDD | 2020-04-01 |
PublicationDate_xml | – month: 04 year: 2020 text: April 2020 |
PublicationDecade | 2020 |
PublicationPlace | France |
PublicationPlace_xml | – name: France – name: Chichester – name: Hoboken |
PublicationTitle | The European journal of neuroscience |
PublicationTitleAlternate | Eur J Neurosci |
PublicationYear | 2020 |
Publisher | Wiley Subscription Services, Inc John Wiley and Sons Inc |
Publisher_xml | – name: Wiley Subscription Services, Inc – name: John Wiley and Sons Inc |
References | 2012; 60 2015; 4 2006; 95 2009; 20 2015; 105 2006; 55 2013; 91 2011; 33 1996 2011; 32 2017; 155 2014; 85 1996; 36 2012; 32 2014; 86 2014; 1 2017; 31 2010; 49 1997; 129 2010; 25 2017; 37 2000; 13 2016; 333 2017 2011; 21 2011; 65 2016; 29 1996; 312 2012; 7 2005; 18 1994; 108 2017; 643 1998; 11 e_1_2_10_23_1 e_1_2_10_24_1 e_1_2_10_21_1 e_1_2_10_22_1 e_1_2_10_20_1 Slotboom J. (e_1_2_10_29_1) 1994; 108 e_1_2_10_2_1 e_1_2_10_4_1 e_1_2_10_18_1 e_1_2_10_3_1 e_1_2_10_19_1 e_1_2_10_16_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_8_1 e_1_2_10_14_1 e_1_2_10_7_1 e_1_2_10_15_1 e_1_2_10_36_1 e_1_2_10_12_1 e_1_2_10_35_1 e_1_2_10_9_1 e_1_2_10_13_1 e_1_2_10_34_1 e_1_2_10_10_1 e_1_2_10_33_1 e_1_2_10_11_1 e_1_2_10_32_1 e_1_2_10_31_1 e_1_2_10_30_1 Core Team R. (e_1_2_10_6_1) 2017 e_1_2_10_27_1 e_1_2_10_28_1 e_1_2_10_25_1 e_1_2_10_26_1 |
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 |
SSID | ssj0008645 |
Score | 2.37359 |
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... |
SourceID | pubmedcentral proquest pubmed crossref wiley |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 1784 |
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 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELZKOcCFR8tjoawGhBCXVOtHvIk4ZUuXqhIrhFppD0iR7TilQLNVs3sod_43M86DLgUJcYvkceLEM_Y3k_E3jL0sRToqNdeRkFpHio9NlCTlKHKJL7ySPhYhmPN-pg-O1eE8nm-wN91ZmIYfog-4kWWE9ZoM3Nj6ipH7LxWZOaeDvpSrRYDo4y_qqESHAsVEpxYlXM9bViHK4ul7ru9F1wDm9TzJq_g1bEDTu-xTN_Qm7-Tr7mppd93331gd__Pd7rE7LTCFrNGk-2zDV1tsO6vQKT-7hFcQUkVDDH6L3drrysRtsx-zUFMEFiXUK0tRnRouPOUX-wJOK8BHo6ZDoLGFIuSL1IBIGWhHbQKR8C6bZHBmTio6UYm9yT1AZYRwDJToNhfnl3QvBKsQigqCpcoWYJYg4cijVj9gx9P9o72DqK3tEDmlcI3VcVxIyblDzx5dQB87r62LvUkJMvq0kInhsU30yJbGOWF8giuTkWaMHhA3sXzINqtF5R8zKIRUKUIVLm2qdMGtL41QpfPG4hJaygF73c1y7lric6q_8S3vHCD83Hn43AP2ohc9b9g-_iS006lK3hp8nQuZ8sDVhs3P-2acCvr_Yiq_WJEMlxLhkNQD9qjRrP4pkmiNxgIHO17TuV6AaMDXW6rTz4EOnOiXEqXwNYNK_X3g-f7hLFw8-XfRp-y2oAhDyFXaYZvLi5V_hjBsaYfshlAfhuxmNnk7mQ6D9f0ErCAypA |
linkProvider | Wiley-Blackwell |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Nb9QwELVKOZRLCy20S1sYEEJcUq1jx-tIXJbSspR2D2gr7QVFtuNAgWar7u6h3PnfzDgf7VKQELdIHidOPGO_mYzfMPaiiNNuobiKYqFUJHnPRFoX3chpn3spfBKHYM7JUA1O5dE4GS-x181ZmIofog24kWWE9ZoMnALSN6zcfy3Jzrm-w-5SRW9izn_78Zo8SqtQopgI1SLN1bjmFaI8nrbr4m50C2LezpS8iWDDFnS4xj41g68yT77tzWd2z_34jdfxf9_uPlutsSn0K2V6wJZ8uc42-iX65edX8BJCtmgIw6-zlf2mUtwG-zkMZUVgUsB0bimwM4VLTynGPoezEvDZqOwQmGwhDykjU0CwDLSpVrFIeNd_04dz87mkQ5XYmzwE1EcIJ0GJcXNycUX3QrwKoa4gWCpuAWYGAkYeFfshOz08GO0Porq8Q-SkxGVWJUkuBOcOnXv0An3ivLIu8SYl1OjTXGjDE6tV1xbGudh4jYuTEaaHThA3iXjElstJ6bcY5LGQKaIVLmwqVc6tL0wsC-eNxVW0EB32qpnmzNXc51SC43vW-ED4ubPwuTvseSt6URF-_Elop9GVrLb5aRaLlAe6Nmx-1jbjVNAvGFP6yZxkuBCIiITqsM1KtdqnCGI26sU42N6C0rUCxAS-2FKefQmM4MTApKXE1ww69feBZwdHw3Dx-N9Fn7KVwejkODt-P_ywze7FFHAIqUs7bHl2Ofe7iMpm9kkwvl_VQTR3 |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LbxMxELZKkYALghZKoMCAEOKyUvxYxytOoTSUAlEPrZTbyvbaUEQ3UZMc-gP438x4H2pUkLhF8uxmV_PwN7Pjbxh7E0UxjJrrTEitM8VHNjMmDjNvQhWUDLlIxZxvU310po5n-WyLve_OwjT8EH3BjTwjxWty8EUVrzl5-FmTm3Nzi92mj33UzyXUSR-GjU4TiolPLTNcz1paIWrj6S_d3IxuIMybjZLXAWzagSYP2P0WOsK40fVDthXqHbY7rjFtvriCt5CaOVOVfIfdPegGue2y39M09QPmEZZrR3WXJVwG6gAOFZzXgC-OtgiJaBaq1NGxBMSyQHteUyqET-MPY7iw32s684hXE4BHc4F0UJMIMeeLK7oXwklIY__A0ewJsCuQcBrQ7h6xs8nh6cFR1k5fyLxSGAV1nldScu4x98YkLeQ-aOfzYAsCdaGopLE8d0YPXbTeCxsMxg4r7QhzFG5z-Zht1_M6PGFQCakKBBNcukLpirsQrVDRB-swyEU5YO86NZS-pSanCRm_yi5FQY2VSWMD9roXXTR8HH8T2u90WbYuuSyFLHhiU8PlV_0yqoK-kNg6zNckgyk7AhapB2yvUX3_L5KIh0YCH3a0YRS9ABF1b67U5z8SYTcRJBml8DWT-fz7wcvD42n68fT_RV-yOycfJ-XXz9Mvz9g9QeWA1Fi0z7ZXl-vwHDHTyr1IvvEHecUS8w |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Number+of+subjects+required+in+common+study+designs+for+functional+GABA+magnetic+resonance+spectroscopy+in+the+human+brain+at+3+Tesla&rft.jtitle=The+European+journal+of+neuroscience&rft.au=Sanaei+Nezhad%2C+Faezeh&rft.au=Lea%E2%80%90Carnall%2C+Caroline+A.&rft.au=Anton%2C+Adriana&rft.au=Jung%2C+JeYoung&rft.date=2020-04-01&rft.pub=John+Wiley+and+Sons+Inc&rft.issn=0953-816X&rft.eissn=1460-9568&rft.volume=51&rft.issue=8&rft.spage=1784&rft.epage=1793&rft_id=info:doi/10.1111%2Fejn.14618&rft_id=info%3Apmid%2F31705723&rft.externalDocID=PMC7216844 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0953-816X&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0953-816X&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0953-816X&client=summon |