The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Local GABA concentration is related to network-level resting functional connectivity
Open accessAbstract
Anatomically plausible networks of functionally inter-connected regions have been reliably demonstrated at rest, although the neurochemical basis of these ‘resting state networks’ is not well understood. In this study, we combined magnetic resonance spectroscopy (MRS) and resting state fMRI and demonstrated an inverse relationship between levels of the inhibitory neurotransmitter GABA within the primary motor cortex (M1) and the strength of functional connectivity across the resting motor network. This relationship was both neurochemically and anatomically specific. We then went on to show that anodal transcranial direct current stimulation (tDCS), an intervention previously shown to decrease GABA levels within M1, increased resting motor network connectivity. We therefore suggest that network-level functional connectivity within the motor system is related to the degree of inhibition in M1, a major node within the motor network, a finding in line with converging evidence from both simulation and empirical studies.
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Cites
Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630
Self-citationSpontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700
Investigations into resting-state connectivity using independent component analysis
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2005.1634 · Cited by 3,398
Self-citationIntrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
Distinct patterns of brain activity in young carriers of the APOE -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613
Self-citationInvestigating the electrophysiological basis of resting state networks using magnetoencephalography
Brookes, M. J., Woolrich, M., Luckhoo, H., Price, D., Hale, J. R., Stephenson, M. C., Barnes, G. R., Smith, S. M., & Morris, P. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112685108 · Cited by 938 · cited 1×
“What do these findings tell us about how activity at a cellular level relates to long-range network connectivity? The activity within the motor RSN has been shown to be related to fluctuations in the power of beta oscillations (Brookes et al., 2011), which have in turn been related to GABA activity (Hall et al.”
BackgroundSelf-citationZuo, X.-N., Kelly, C., Adelstein, J. S., Klein, D. F., Castellanos, F. X., & Milham, M. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.080 · Cited by 744
Shmuel, A., & Leopold, D. A. (2008) · Human Brain Mapping · doi:10.1002/hbm.20580 · Cited by 584
The Resting Human Brain and Motor Learning
Albert, N. B., Robertson, E. M., & Miall, R. C. (2009) · Current Biology · doi:10.1016/j.cub.2009.04.028 · Cited by 510 · cited 1×
“, 2006), increases RSN functional connectivity (Albert et al., 2009).”
Kapogiannis, D., Reiter, D. A., Willette, A. A., & Mattson, M. P. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.029 · Cited by 211
Cited by
Li, L. M., Uehara, K., & Hanakawa, T. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00181 · Cited by 477
Physiology of Transcranial Direct Current Stimulation
Stagg, C. J., Antal, A., & Nitsche, M. A. (2018) · The Journal of ECT · doi:10.1097/yct.0000000000000510 · Cited by 478
Self-citationImaging human brain networks to improve the clinical efficacy of non-invasive brain stimulation
Sale, M. V., Mattingley, J. B., Zalesky, A., & Cocchi, L. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.09.010 · Cited by 145
Changing Brain Networks Through Non-invasive Neuromodulation
To, W. T., De Ridder, D., Hart Jr., J., & Vanneste, S. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00128 · Cited by 135
“Stagg et al. (2014) showed that tDCS on M1 decreased GABA levels within M1 and increased resting motor network connectivity.”
BackgroundNeuronal and behavioral effects of multi-day brain stimulation and memory training
Antonenko, D., Külzow, N., Sousa, A., Prehn, K., Grittner, U., & Flöel, A. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.09.017 · Cited by 70
Metadata
- Authors
- Stagg, C. J., Bachtiar, V., Amadi, U., Gudberg, C. A., Ilie, A. S., Sampaio-Baptista, C., O’Shea, J., Woolrich, M., Smith, S. M., Filippini, N., Near, J., & Johansen-Berg, H.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2014-03-25
- Volume
- 3
- Pages
- e01465-e01465
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2139606992
- Cited by
- 213
- References
- 10
- FWCI
- 7.15
- Type
- journal article
- Language
- en
- Open access
- gold
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- Stagg, C. J., Bachtiar, V., Amadi, U., Gudberg, C. A., Ilie, A. S., Sampaio-Baptista, C., O’Shea, J., Woolrich, M., Smith, S. M., Filippini, N., Near, J., & Johansen-Berg, H. (2014). Local GABA concentration is related to network-level resting functional connectivity. eLife. https://doi.org/10.7554/elife.01465
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
