The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Electrical Brain Stimulation Improves Cognitive Performance by Modulating Functional Connectivity and Task-Specific Activation
Open accessAbstract
Excitatory anodal transcranial direct current stimulation (atDCS) can improve human cognitive functions, but neural underpinnings of its mode of action remain elusive. In a cross-over placebo (“sham”) controlled study we used functional magnetic resonance imaging (fMRI) to investigate neurofunctional correlates of improved language functions induced by atDCS over a core language area, the left inferior frontal gyrus (IFG). Intrascanner transcranial direct current stimulation-induced changes in overt semantic word generation assessed behavioral modulation; task-related and task-independent (resting-state) fMRI characterized language network changes. Improved word-retrieval during atDCS was paralleled by selectively reduced task-related activation in the left ventral IFG, an area specifically implicated in semantic retrieval processes. Under atDCS, resting-state fMRI revealed increased connectivity of the left IFG and additional major hubs overlapping with the language network. In conclusion, atDCS modulates endogenous low-frequency oscillations in a distributed set of functionally connected brain areas, possibly inducing more efficient processing in critical task-relevant areas and improved behavioral performance.
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Cites
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
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
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
Maldjian, J. A., Laurienti, P. J., Kraft, R. A., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,085
Thresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970
Achard, S., Salvador, R., Whitcher, B., Suckling, J., & Bullmore, E. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.3874-05.2006 · Cited by 2,393
Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation
Thompson-Schill, S. L., D’Esposito, M., Aguirre, G. K., & Farah, M. J. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.26.14792 · Cited by 2,121
Functional role of the supplementary and pre-supplementary motor areas
Nachev, P., Kennard, C., & Husain, M. (2008) · Nature Reviews Neuroscience · doi:10.1038/nrn2478 · Cited by 1,928
Perisylvian language networks of the human brain
Catani, M., Jones, D. K., & ffytche, D. H. (2005) · Annals of Neurology · doi:10.1002/ana.20319 · Cited by 1,832 · cited 1×
“However, we would like to point out that these areas overlap with brain regions that have previously been associated with critical aspects of language processing (Price, 2000; Poeppel and Hickok, 2004; Catani et al., 2005).”
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Cited by
Horvath, J. C., Forte, J. D., & Carter, O. (2015) · Brain Stimulation · doi:10.1016/j.brs.2015.01.400 · Cited by 609
Kuo, M.-F., Paulus, W., & Nitsche, M. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.117 · Cited by 415
Cognitive enhancement induced by anodal tDCS drives circuit-specific cortical plasticity
Pisoni, A., Mattavelli, G., Papagno, C., Rosanova, M., Casali, A. G., & Romero Lauro, L. J. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx021 · Cited by 136
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
“Interestingly, studies have also combined non-invasive neuromodulation with simultaneous task-based neuroimaging (e.g., Meinzer et al., 2012, 2013).”
BackgroundMethodSotnikova, A., Soff, C., Tagliazucchi, E., Becker, K., & Siniatchkin, M. (2017) · Brain Topography · doi:10.1007/s10548-017-0552-4 · Cited by 85
Metadata
- Authors
- Meinzer, M., Antonenko, D., Lindenberg, R., Hetzer, S., Ulm, L., Avirame, K., Flaisch, T., & Flöel, A.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-02-01
- Volume
- 32
- Issue
- 5
- Pages
- 1859-1866
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2067693209
- Cited by
- 287
- References
- 44
- FWCI
- 10.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Meinzer, M., Antonenko, D., Lindenberg, R., Hetzer, S., Ulm, L., Avirame, K., Flaisch, T., & Flöel, A. (2012). Electrical Brain Stimulation Improves Cognitive Performance by Modulating Functional Connectivity and Task-Specific Activation. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.4812-11.2012
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