Attention corresponds to specific patterns of synchronized neural activity
Attention corresponds to specific patterns of synchronized neural activity, as demonstrated by multiple electrophysiological studies linking attentional states, shifts, and cognitive tasks directly to changes in neural phase coherence and frequency-specific synchronization.
The retrieved papers provide robust electrophysiological and neuroimaging evidence demonstrating that attention modulates phase coherence, oscillatory dynamics, and large-scale neural synchronization. Papers [0], [1], [5], [6], [9], and [11] explicitly support the claim by connecting attentional states and shifts to specific patterns of synchronized neural activity. None of the retrieved papers refute the premise, resulting in a verdict of SUPPORTED.
Yoshiyuki Kashiwase, Kazumichi Matsumiya, Ichiro Kuriki, Satoshi Shioiri. Time Courses of Attentional Modulation in Neural Amplification and Synchronization Measured with Steady-state Visual-evoked Potentials. 2012. https://doi.org/10.1162/jocn_a_00212
Demonstrates that endogenous attention modulates phase coherence (synchronization) of steady-state visual-evoked potentials, linking attentional shifts directly to neural synchrony dynamics.
See more details
Henk J. Haarmann, Katherine A. Cameron, Daniel S. Ruchkin. Neural synchronization mediates on‐line sentence processing: EEG coherence evidence from filler‐gap constructions. 2002. https://doi.org/10.1111/1469-8986.3960820
Shows that increases in the synchronization of neural activity across cortical regions occur during cognitive processing tasks requiring high semantic working memory load.
Ronca V, Capotorto R, Giorgi A, Dello Iacono F, Cecchetti M, Napoletano L, Brambati F, Borghini G, Aricò P, Di Flumeri G. A novel approach for the EEG-driven assessment of divided attention through mutual information theory: A case study at the wheel.. 2026. https://doi.org/10.1371/journal.pone.0348608
Establishes a specific EEG-based metric reflecting coordinated neural modulation when attention is divided across tasks.
Choudhary PK, Choudhary S, Saha S, Rajpoot YS, Ciocan VC, Nicolae-Lucian V, Gorgan CM, Șufaru C. Brain-computer interfaces and neural synchronization in esports: a systematic review of effects on reaction time, decision-making, and cognitive performance.. 2026. https://doi.org/10.3389/fnhum.2026.1774230
Highlights how BCI-based neural synchronization improves cognitive performance metrics such as attention, reaction time, and decision-making.
Christodoulides P, Peschos D, Zakopoulou V. The Use of EEG in the Study of Emotional States and Visual Word Recognition with or Without Musical Stimulus in University Students with Dyslexia.. 2026. https://doi.org/10.3390/brainsci16040396
Connects disruptions in neural synchrony and cross-frequency coupling to altered attentional engagement and cognitive focus in dyslexia.
C. M. Lewis, C. A. Bosman, T. Womelsdorf, P. Fries. Stimulus induced visual cortical networks are recapitulated by spontaneous local and inter-areal synchronization. 2015. https://doi.org/10.1101/021055
Indicates that stimulus-induced and rhythmic attentional states are subserved by specific patterns of local and inter-areal phase synchronization.
The paper trail · every fact has a biography
Challenge the receipt
Citation formatting by citeproc-js (Frank Bennett) and the Citation Style Language project. Source and licenses.
Terms · Privacy · How verdicts work · Dispute this receipt