Journal article : Review
Event-related functional magnetic resonance spectroscopy
- Abstract:
- Proton-Magnetic Resonance Spectroscopy (MRS) is a non-invasive brain imaging technique used to measure the concentration of different neurochemicals. “Single-voxel” MRS data is typically acquired across several minutes, before individual transients are averaged through time to give a measurement of neurochemical concentrations. However, this approach is not sensitive to more rapid temporal dynamics of neurochemicals, including those that reflect functional changes in neural computation relevant to perception, cognition, motor control and ultimately behaviour. In this review we discuss recent advances in functional MRS (fMRS) that now allow us to obtain event-related measures of neurochemicals. Event-related fMRS involves presenting different experimental conditions as a series of trials that are intermixed. Critically, this approach allows spectra to be acquired at a time resolution in the order of seconds. Here we provide a comprehensive user guide for event-related task designs, choice of MRS sequence, analysis pipelines, and appropriate interpretation of event-related fMRS data. We raise various technical considerations by examining protocols used to quantify dynamic changes in GABA, the primary inhibitory neurotransmitter in the brain. Overall, we propose that although more data is needed, event-related fMRS can be used to measure dynamic changes in neurochemicals at a temporal resolution relevant to computations that support human cognition and behaviour.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 1.7MB, Terms of use)
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- Publisher copy:
- 10.1016/j.neuroimage.2023.120194
Authors
+ Royal Society
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- Funder identifier:
- https://ror.org/03wnrjx87
- Grant:
- DHF\R1\201141
+ Medical Research Council
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- Funder identifier:
- https://ror.org/03x94j517
- Grant:
- MR/V034723/1
+ UK Research and Innovation
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- Funder identifier:
- https://ror.org/001aqnf71
- Grant:
- MR/W008939/1
+ Engineering and Physical Sciences Research Council
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- Funder identifier:
- https://ror.org/0439y7842
- Grant:
- EP/L016052/1
+ Wellcome Trust
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- Funder identifier:
- https://ror.org/029chgv08
- Grant:
- 203139/A/16/Z
- 225924/Z/22/Z
- 203139/Z/16/Z
- Publisher:
- Elsevier
- Journal:
- NeuroImage More from this journal
- Volume:
- 276
- Article number:
- 120194
- Publication date:
- 2023-05-26
- Acceptance date:
- 2023-05-24
- DOI:
- EISSN:
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1095-9572
- ISSN:
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1053-8119
- Pmid:
-
37244321
- Language:
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English
- Keywords:
- Subtype:
-
Review
- Pubs id:
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1346541
- Local pid:
-
pubs:1346541
- Deposit date:
-
2024-11-26
Terms of use
- Copyright holder:
- Koolschijn et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
- Notes:
- This research was funded in part, by the UKRI (MR/W008939/1, EP/L016052/1) and by the Wellcome Trust (225924/Z/22/Z, 203139/Z/16/Z). For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.
- Licence:
- CC Attribution (CC BY)
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