The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Boosting brain excitability by transcranial high frequency stimulation in the ripple range: High frequency oscillations and brain excitability
Open accessAbstract
Alleviating the symptoms of neurological diseases by increasing cortical excitability through transcranial stimulation is an ongoing scientific challenge. Here, we tackle this issue by interfering with high frequency oscillations (80–250 Hz) via external application of transcranial alternating current stimulation (tACS) over the human motor cortex (M1). Twenty-one subjects participated in three different experimental studies and they received on separate days tACS at three frequencies (80 Hz, 140 Hz and 250 Hz) and sham stimulation in a randomized order. tACS with 140 Hz frequency increased M1 excitability as measured by transcranial magnetic stimulation-generated motor evoked potentials (MEPs) during and for up to 1 h after stimulation. Control experiments with sham and 80 Hz stimulation were without any effect, and 250 Hz stimulation was less efficient with a delayed excitability induction and reduced duration. After-effects elicited by 140 Hz stimulation were robust against inversion of test MEP amplitudes seen normally under activation. Stimulation at 140 Hz reduced short interval intracortical inhibition, but left intracortical facilitation, long interval cortical inhibition and cortical silent period unchanged. Implicit motor learning was not facilitated by 140 Hz stimulation. High frequency stimulation in the ripple range is a new promising non-invasive brain stimulation protocol to increase human cortical excitability during and after the end of stimulation.
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Cites
Thalamocortical oscillations in the sleeping and aroused brain
Steriade, M., McCormick, D. A., & Sejnowski, T. J. (1993) · Science · doi:10.1126/science.8235588 · Cited by 3,564
Transcranial direct current stimulation: State of the art 2008
Nitsche, M. A., Cohen, L. G., Wassermann, E. M., Priori, A., Lang, N., Antal, A., Paulus, W., Hummel, F., Boggio, P. S., Fregni, F., et al. (2008) · Brain Stimulation · doi:10.1016/j.brs.2008.06.004 · Cited by 3,057
Self-citationSustained excitability elevations induced by transcranial DC motor cortex stimulation in humans
Nitsche, M. A., & Paulus, W. (2001) · Neurology · doi:10.1212/wnl.57.10.1899 · Cited by 2,617
Self-citationForward and reverse hippocampal place-cell sequences during ripples
Diba, K., & Buzsáki, G. (2007) · Nature Neuroscience · doi:10.1038/nn1961 · Cited by 1,205
Ylinen, A., Bragin, A., Nadasdy, Z., Jando, G., Szabo, I., Sik, A., & Buzsaki, G. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00030.1995 · Cited by 1,092
Electrical coupling underlies high-frequency oscillations in the hippocampus in vitro
Draguhn, A., Traub, R. D., Schmitz, D., & Jefferys, J. G. R. (1998) · Nature · doi:10.1038/28184 · Cited by 703
Excitatory effect of GABAergic axo-axonic cells in cortical microcircuits
Szabadics, J., Varga, C., Molnár, G., Oláh, S., Barzó, P., & Tamás, G. (2006) · Science · doi:10.1126/science.1121325 · Cited by 598
Paulus, W., Classen, J., Cohen, L. G., Large, C. H., Di Lazzaro, V., Nitsche, M., Pascual-Leone, A., Rosenow, F., Rothwell, J. C., & Ziemann, U. (2008) · Brain Stimulation · doi:10.1016/j.brs.2008.06.002 · Cited by 414
Self-citationSpinal Cord Stimulation Restores Locomotion in Animal Models of Parkinson's Disease
Fuentes, R., Petersson, P., Siesser, W. B., Caron, M. G., & Nicolelis, M. A. L. (2009) · Science · doi:10.1126/science.1164901 · Cited by 298
Cited by
Rossi, S., Antal, A., Bestmann, S., Bikson, M., Brewer, C., Brockmöller, J., Carpenter, L. L., Cincotta, M., Chen, R., Daskalakis, J. D., et al. (2021) · Clinical Neurophysiology · doi:10.1016/j.clinph.2020.10.003 · Cited by 1,573
Self-citationNoninvasive brain stimulation: from physiology to network dynamics and back
Dayan, E., Censor, N., Buch, E. R., Sandrini, M., & Cohen, L. G. (2013) · Nature Neuroscience · doi:10.1038/nn.3422 · Cited by 585
Neuling, T., Rach, S., & Herrmann, C. S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00161 · Cited by 443
Driving Oscillatory Activity in the Human Cortex Enhances Motor Performance
Joundi, R. A., Jenkinson, N., Brittain, J.-S., Aziz, T. Z., & Brown, P. (2012) · Current Biology · doi:10.1016/j.cub.2012.01.024 · Cited by 365
Effects of transcranial electrical stimulation on cognition
Kuo, M.-F., & Nitsche, M. A. (2012) · Clinical EEG and Neuroscience · doi:10.1177/1550059412444975 · Cited by 319
“tACS over M1 facilitated motor sequence learning only when applied at alpha frequency, while high ripple frequency (140 Hz) stimulation had no effect on the same learning protocol.(6,74) Alpha oscillations are associated with the inhibition of irrelevant stimuli during cognitive tasks,(75) and this may explain the fac…”
Background
Metadata
- Authors
- Moliadze, V., Antal, A., & Paulus, W.
- Venue
- The Journal of Physiology
- Publisher
- Wiley
- Published
- 2010-12-15
- Volume
- 588
- Issue
- 24
- Pages
- 4891-4904
- ISSN
- 0022-3751 (ISSN-L)
- OpenAlex
- W1829209601
- Cited by
- 185
- References
- 9
- FWCI
- 3.75
- Type
- journal article
- Language
- en
- Open access
- green
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