The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Alpha-Band Phase Synchrony Is Related to Activity in the Fronto-Parietal Adaptive Control Network
Open accessAbstract
Neural oscillations in the alpha band (8–12 Hz) are increasingly viewed as an active inhibitory mechanism that gates and controls sensory information processing as a function of cognitive relevance. Extending this view, phase synchronization of alpha oscillations across distant cortical regions could regulate integration of information. Here, we investigated whether such long-range cross-region coupling in the alpha band is intrinsically and selectively linked to activity in a distinct functionally specialized brain network. If so, this would provide new insight into the functional role of alpha band phase synchrony. We adapted the phase-locking value to assess fluctuations in synchrony that occur over time in ongoing activity. Concurrent EEG and functional magnetic resonance imaging (fMRI) were recorded during resting wakefulness in 26 human subjects. Fluctuations in global synchrony in the upper alpha band correlated positively with activity in several prefrontal and parietal regions (as measured by fMRI). fMRI intrinsic connectivity analysis confirmed that these regions correspond to the well known fronto-parietal (FP) network. Spectral correlations with this network's activity confirmed that no other frequency band showed equivalent results. This selective association supports an intrinsic relation between large-scale alpha phase synchrony and cognitive functions associated with the FP network. This network has been suggested to implement phasic aspects of top-down modulation such as initiation and change in moment-to-moment control. Mechanistically, long-range upper alpha band synchrony is well suited to support these functions. Complementing our previous findings that related alpha oscillation power to neural structures serving tonic control, the current findings link alpha phase synchrony to neural structures underpinning phasic control of alertness and task requirements.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426
Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems
Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L., & Raichle, M. E. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0604187103 · Cited by 2,101
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition
Wang, X.-J. (2010) · Physiological Reviews · doi:10.1152/physrev.00035.2008 · Cited by 1,939
Electrophysiological signatures of resting state networks in the human brain
Mantini, D., Perrucci, M. G., Del Gratta, C., Romani, G. L., & Corbetta, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0700668104 · Cited by 1,938
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869
Posner, M. I., & Boies, S. J. (1971) · Psychological Review · doi:10.1037/h0031333 · Cited by 1,751
Laufs, H., Krakow, K., Sterzer, P., Eger, E., Beyerle, A., Salek-Haddadi, A., & Kleinschmidt, A. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1831638100 · Cited by 1,028 · cited 3×
“During task-free “resting-state” studies, spontaneous fluctuations in alpha oscillation power correlate negatively with activity in the so-called dorsal attention system (DAT) of superior frontal and intraparietal regions (Laufs et al., 2003; Mantini et al., 2007), but positively with activity in a cingulo-opercular (…”
Self-citationBOLD correlates of EEG alpha phase-locking and the fMRI default mode network
Jann, K., Dierks, T., Boesch, C., Kottlow, M., Strik, W., & Koenig, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.001 · Cited by 286 · cited 1×
“Jann et al. (2009) reported a correlation between global alpha phase synchrony and activity in the so-called default mode network.”
Background
Cited by
Marek, S., & Dosenbach, N. U. F. (2018) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2018.20.2/smarek · Cited by 836
The role of PFC networks in cognitive control and executive function
Menon, V., & D’Esposito, M. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01152-w · Cited by 654
Self-citationDynamic cooperation and competition between brain systems during cognitive control
Cocchi, L., Zalesky, A., Fornito, A., & Mattingley, J. B. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.08.006 · Cited by 429
Brain Networks and α-Oscillations: Structural and Functional Foundations of Cognitive Control
Sadaghiani, S., & Kleinschmidt, A. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.09.004 · Cited by 437
Self-citationDynamics of cognitive control: Theoretical bases, paradigms, and a view for the future
Gratton, G., Cooper, P., Fabiani, M., Carter, C. S., & Karayanidis, F. (2018) · Psychophysiology · doi:10.1111/psyp.13016 · Cited by 255
Metadata
- Authors
- Sadaghiani, S., Scheeringa, R., Lehongre, K., Morillon, B., Giraud, A.-L., D'Esposito, M., & Kleinschmidt, A.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-10-10
- Volume
- 32
- Issue
- 41
- Pages
- 14305-14310
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2153108330
- Cited by
- 262
- References
- 9
- FWCI
- 7.06
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Alpha-Band Phase Synchrony Is Related to Activity in the Fronto-Parietal Adaptive Control Network. https://app.cochat.ai/papers/10.1523/jneurosci.1358-12.2012
- The paper
- Sadaghiani, S., Scheeringa, R., Lehongre, K., Morillon, B., Giraud, A.-L., D'Esposito, M., & Kleinschmidt, A. (2012). Alpha-Band Phase Synchrony Is Related to Activity in the Fronto-Parietal Adaptive Control Network. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.1358-12.2012
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.