Fast and Slow Oscillations in Human Primary Motor Cortex Predict Oncoming Behaviorally Relevant Cues

Saleh, Maryam; Reimer, Jacob; Penn, Richard D.; Ojakangas, Catherine L.; Hatsopoulos, Nicholas G.

doi:10.1016/j.neuron.2010.02.001

Cited by 234 publications

(242 citation statements)

References 58 publications

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“…Moreover, recordings in waking animals show the existence of delta-band oscillations in the nucleus accumbens (32) and dopamine neurons of the ventral tegmental area (33), structures that are part of the brain reward system. These observations, together with those reported in attentional tasks (25)(26)(27), show that delta-band oscillations occurring in individual brain areas play a role in cognitive functions. Our results show that distant cortical circuits are linked in the delta-frequency band during decision making.…”

Section: Discussionsupporting

confidence: 71%

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Coherent delta-band oscillations between cortical areas correlate with decision making

Nácher

Ledberg

Deco

et al. 2013

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

133

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Coherent oscillations in the theta-to-gamma frequency range have been proposed as a mechanism that coordinates neural activity in large-scale cortical networks in sensory, motor, and cognitive tasks. Whether this mechanism also involves coherent oscillations at delta frequencies (1-4 Hz) is not known. Rather, delta oscillations have been associated with slow-wave sleep. Here, we show coherent oscillations in the delta frequency band between parietal and frontal cortices during the decision-making component of a somatosensory discrimination task. Importantly, the magnitude of this delta-band coherence is modulated by the different decision alternatives. Furthermore, during control conditions not requiring decision making, delta-band coherences are typically much reduced. Our work indicates an important role for synchronous activity in the delta frequency band when large-scale, distant cortical networks coordinate their neural activity during decision making.synchrony | low-frequency rhythm | brain circuits

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Section: Discussionsupporting

confidence: 71%

“…Recent findings associated delta-band oscillations in individual cortical areas with attention (25). In monkey primary visual cortex (26) and human motor cortex (27), delta-band oscillations entrain to the rhythm of external sensory events in an attentiondependent manner.…”

mentioning

confidence: 99%

Coherent delta-band oscillations between cortical areas correlate with decision making

Nácher

Ledberg

Deco

et al. 2013

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

133

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mentioning

confidence: 73%

“…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 task-specific manner; for example with visual attention, sensory-motor integration, or working memory (10)(11)(12)(13)(14)(15)(16)(17).In this study, we examine whether task-specific modulations of synchrony occur during a well-characterized spatial attention (Posner) task in both task-relevant (DAN, VAN, sensory-motor) and irrelevant (default-mode) networks previously identified with fMRI. We predicted that attending to a spatially cued location or reorienting to the location of an unexpected target would produce selective phase modulations within and synchronization within and between task-relevant but not task-irrelevant networks based on fMRI.…”

mentioning

confidence: 76%

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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“…Support for this comes from research focusing on enhancing beta power using EEG biofeedback which has been shown to improve attentional processing in both clinical populations (Fuchs et al, 2003;Monastra et al, 2006) and healthy participants (Egner & Gruzelier, 2004;Rasey et al, 1996). In addition, research has shown increases in beta (12-30Hz) amplitude when participants attend to a stimulus and plan a response (Saleh, Reimer, Penn, Ojakangas & Hatsopoulos, 2010). These findings would support the use of binaural beats as a plausible mechanism for enhancing EEG power within a targeted frequency in an attempt to normalise and/or enhance cognition, if exposure to such sounds elicited clear FFR's in the EEG.…”

Section: Introductionmentioning

confidence: 99%

Tracking EEG changes in response to alpha and beta binaural beats

Вернон

Peryer

Louch

et al. 2014

International Journal of Psychophysiology

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A binaural beat can be produced by presenting two tones of differing frequency, one to each ear. Such auditory stimulation has been suggested to influence behaviour and cognition via the process of cortical entrainment. However, research so far has only shown frequency following responses in the traditional EEG frequency ranges of delta, theta and gamma.Hence a primary aim of this research was to ascertain whether it would be possible to produce clear changes in the EEG in either the alpha or beta frequency ranges. Such changes, if possible, would have a number of important implications as well as potential applications.A secondary goal was to track any observable changes in EEG throughout the entrainment epoch to gain some insight into the nature of the entrainment effects any changes in an effort to identify more effective entrainment regimes. Twenty two healthy participants were recruited and randomly allocated to one of two groups, each of which was exposed to a distinct binaural beat frequency for ten 1-minute epochs. The first group listened to an alpha binaural beat of 10Hz and the second to a beta binaural beat of 20Hz. EEG was recorded from the left and right temporal regions during pre-exposure baselines, stimulus exposure epochs and post-exposure baselines. Analysis of changes in broad-band and narrow-band amplitude, and frequency showed no effect of either binaural beat frequency eliciting a frequency following effect in the EEG. Possible mediating factors are discussed and a number of recommendations are made regarding future studies, exploring entrainment effects from binaural beat presentation.3

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Fast and Slow Oscillations in Human Primary Motor Cortex Predict Oncoming Behaviorally Relevant Cues

Cited by 234 publications

References 58 publications

Coherent delta-band oscillations between cortical areas correlate with decision making

Coherent delta-band oscillations between cortical areas correlate with decision making

Frequency-specific mechanism links human brain networks for spatial attention

Tracking EEG changes in response to alpha and beta binaural beats

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