Long-range neural coupling through synchronization with attention

Gregoriou, Georgia G.; Gotts, Stephen J.; Zhou, Huihui; Desimone, Robert

doi:10.1016/s0079-6123(09)17603-3

Cited by 79 publications

(52 citation statements)

References 82 publications

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“…Although the main attention effects reported here are in the low-frequency δ-and θ-bands, several previous studies of visual attention have shown coherence at higher frequencies (β, γ) (14,(38)(39)(40). In some of these earlier studies, neurons were driven continuously with visual stimuli, and thus attention was not purely endogenous.…”

Section: Discussionmentioning

confidence: 48%

“…Notably, both the pulvinar and thalamic reticular nucleus, mentioned above as a potential generators of cortical synchronous activity, operate in both phasic (i.e., transient) and tonic (i.e., sustained) modes (29,32). These two modes may underlie the low frequency [shown here (15)] versus sustained high-frequency coherence (14,39) correlates of attention, respectively.…”

Section: Discussionmentioning

confidence: 98%

See 1 more Smart Citation

Frequency-specific mechanism links human brain networks for spatial attention

Daitch¹,

Sharma²,

Roland

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

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Selective attention allows us to filter out irrelevant information in the environment and focus neural resources on information relevant to our current goals. Functional brain-imaging studies have identified networks of broadly distributed brain regions that are recruited during different attention processes; however, the dynamics by which these networks enable selection are not well understood. Here, we first used functional MRI to localize dorsal and ventral attention networks in human epileptic subjects undergoing seizure monitoring. We subsequently recorded cortical physiology using subdural electrocorticography during a spatialattention task to study network dynamics. Attention networks become selectively phase-modulated at low frequencies (δ, θ) during the same task epochs in which they are recruited in functional MRI. This mechanism may alter the excitability of task-relevant regions or their effective connectivity. Furthermore, different attention processes (holding vs. shifting attention) are associated with synchrony at different frequencies, which may minimize unnecessary cross-talk between separate neuronal processes.O ne of the hallmarks of effective behavior is the ability to flexibly attend to particular stimuli in the environment. Selective attention can be driven endogenously by one's current goals or by salient external stimuli. Human neuroimaging studies have identified two sets of fronto-parietal regions that are recruited during these two types of attention. A set of dorsal fronto-parietal regions (dorsal attention network or DAN) shows sustained activity during endogenous or goal-driven attention (1), and reorienting to unexpected targets transiently activates both the DAN and a second set of regions, the ventral attention network (VAN) (2). Although functional MRI (fMRI) has identified the brain regions that are involved in these attentional operations (3, 4), the slow nature of the hemodynamic response has severely limited the study of network dynamics at behaviorally relevant time scales (5). Here, we report results obtained by cortical surface (electrocorticography or ECoG) recordings in epilepsy patients undergoing clinical monitoring to identify seizure foci. Electrode locations for each subject were colocalized with functional brain networks, including the DAN and VAN identified in the same subjects using fMRI. This experimental paradigm allowed us to objectively link fast electrophysiological dynamics, during performance of an attention task, to well-studied functional brain networks.ECoG measures nonspiking, local field potential oscillations across a range of frequencies, which are thought to reflect fluctuations in local neuronal excitability (6, 7). Phase modulations of activity within a region and between regions may therefore affect, respectively, their ability to respond to inputs and to transfer information between one another (8, 9). In support of this theory, previous studies in both animals and humans have shown that either local or long-distance synchrony change in a tas...

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Section: Discussionmentioning

confidence: 48%

Section: Discussionmentioning

confidence: 98%

Frequency-specific mechanism links human brain networks for spatial attention

Daitch¹,

Sharma²,

Roland

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

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“…10. Gregoriou et al (2009) suggest that long-range excitatory connections onto interneurons determine whether different pyramidal cell "assemblies" can synchronize at gamma frequencies, whereas excitatory connections onto pyramidal cells determine whether such assemblies can synchronize at beta frequencies. 11.…”

Section: Our Hypothesismentioning

confidence: 99%

Hypotheses Relating to the Function of the Claustrum

2014

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“…The frontal and parietal regions are activated during attentional tasks in both human subjects and monkeys [16], [17], and particularly the frontal-parietal coherence reflects the transformation from the sensory representation in parietal cortex into the adjusting behavioral responses in frontal regions [18]. The findings in this study show correlation of responding speed in both frontal and parietal regions, i.e., intensive modulation is associated with faster behavior.…”

Section: Discussionmentioning

confidence: 51%

Brain Correlates of Lane Changing Reaction Time in Simulated Driving

Zhang

Chavarriaga

Gheorghe

et al. 2015

2015 IEEE International Conference on Systems, Man, and Cybernetics

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Abstract-Psychophysical studies have reported correlation between neural activity in frontal and parietal areas and subject's reaction time in simple tasks. Here we study whether similar correlates can also be identified in driver's electroencephalography (EEG) activity when they perform steering actions triggered by exogenous stimuli (e.g. obstacles along the road). We report analysis of the EEG signals of fifteen subjects while they drive in a realistic car simulator. We found that the peak latency of the event-related potentials in frontal and parietal areas significantly correlates with the onset of the steering behavior. Similarly, modulations of the power in the theta band (4-8 Hz) prior to the action also correlates with the reaction times. These results provide evidence of reliable neural markers of the driver's response variability.

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Long-range neural coupling through synchronization with attention

Cited by 79 publications

References 82 publications

Frequency-specific mechanism links human brain networks for spatial attention

Frequency-specific mechanism links human brain networks for spatial attention

Hypotheses Relating to the Function of the Claustrum

Brain Correlates of Lane Changing Reaction Time in Simulated Driving

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