Neural entrainment and network resonance in support of top-down guided attention

Helfrich, Randolph F.; Breska, Assaf; Knight, Robert T.

doi:10.1016/j.copsyc.2018.12.016

Cited by 104 publications

(121 citation statements)

References 59 publications

Supporting

Mentioning

112

Contrasting

Order By: Relevance

“…A critical property of oscillatory phenomena is underdamping (damping ratio < 1), i.e. the ability to maintain a long-lasting oscillation, echo or reverberation, whose amplitude exponentially decreases toward baseline after the stimulation end [44][45][46] . This underdamping can arise from energy dissipation and/or phase dispersion of self-sustained oscillators.…”

Section: Introductionmentioning

confidence: 99%

Frequency selectivity of persistent cortical oscillatory responses to auditory rhythmic stimulation

Lerousseau

Trébuchon

Morillon

et al. 2019

Preprint

View full text Add to dashboard Cite

Rhythmic stimulation, either sensory or electrical, aiming at entraining oscillatory activity to reveal or optimize brain functions, relies on a critically untested hypothesis: it should produce a persistent effect, outlasting the stimulus duration. We tested this assumption by studying cortical neural oscillations during and after presentation of rhythmic auditory stimuli. Using intracranial and surface recordings in humans, we reveal consistent neural response properties throughout the cortex, with persistent entrainment being selective to high-gamma oscillations. Critically, during passive perception, neural oscillations do not outlast low-frequency acoustic dynamics. We further show that our data are well-captured by a model of damped harmonic oscillator and can be classified into three classes of neural dynamics, with distinct damping properties and eigenfrequencies. This model thus provides a mechanistic and quantitative explanation of the frequency selectivity of persistent neural entrainment in the human cortex.

show abstract

Section: Introductionmentioning

confidence: 99%

Frequency selectivity of persistent cortical oscillatory responses to auditory rhythmic stimulation

Lerousseau

Trébuchon

Morillon

et al. 2019

Preprint

View full text Add to dashboard Cite

show abstract

“…While doing so, we set the infrastructure for a theoretical framework for investigating the mechanisms underlying the generation of neuronal network oscillations, taking into account the interplay of the intrinsic properties of the participating neurons, synaptic connectivity, and network topology. This framework will enable studies of neuronal networks where the interactions between periodic inputs, intrinsic currents and network effects are important (Lisman, 2005;Iaccarino et al, 2016;Helfrich et al, 2019), different networks entrain each other (Sirota et al, 2008;Fries, 2015), and/or the precise coordination between periodic input and spiking output are enhanced or disrupted (Bi and Poo, 2001;Lakatos et al, 2008;Vierling-Claassen et al 2008).…”

Section: Discussionmentioning

confidence: 99%

Neuronal resonance can be generated independently at distinct levels of organization

Stark

Rotstein

2020

Preprint

View full text Add to dashboard Cite

Neuronal resonance is defined as maximal amplification of the response of a system to a periodic input at a finite non-zero input frequency band. Resonance has been observed experimentally in the nervous system at the level of membrane potentials, spike times, post-synaptic potentials, and neuronal networks. It is often assumed that resonance at one level of organization endows resonance at another level, but how the various forms of neuronal resonances interact is unknown. Here we show that a direct link of the frequency response properties across neuronal levels of organization is not necessary. Using detailed biophysical modeling combined with numerical simulations, extracellular recordings, and optogenetic manipulations from behaving mice, we show how low-pass filtering, high-pass filtering, and amplification mechanisms can generate resonance at a single level of organization. Subthreshold resonance, synaptic resonance, and spiking resonance can each occur in the lack of resonance at any other level of organization. In contrast, frequencydependent mechanisms at several levels of organization are required to generate the more complex phenomenon of network resonance. Together, these results show that multiple independent mechanisms can generate resonance in neuronal systems.

show abstract

“…While the slope adjustment in CD patients in the Rhythm task might seem in line with the idea that oscillators with different frequencies are entrained in the short and long conditions, it is not clear whether this adjustment is specific to an oscillatory mechanism. Strong evidence for involvement of oscillatory mechanisms can only come from observing oscillatory patterns that cannot be explained by interval-based prediction, such as reverberation after stream termination [6,60,61].…”

Section: Discussionmentioning

confidence: 99%

Context-specific control of the neural dynamics of temporal attention by the human cerebellum

Breska

Ivry²

2019

Preprint

Self Cite

View full text Add to dashboard Cite

16Physiological methods have identified a number of signatures of temporal prediction, a core 17 component of attention. While the underlying neural dynamics have been linked to activity within 18 cortico-striatal networks, recent work has shown that the behavioral benefits of temporal prediction 19 causally rely on the cerebellum. Here we examine the involvement of the human cerebellum in the 20 generation and/or temporal adjustment of anticipatory neural dynamics, measuring scalp 21 electroencephalography in individuals with cerebellar degeneration. When the temporal prediction 22 relied on an interval representation, duration-dependent adjustments were impaired in the 23 cerebellar group compared to matched controls. This impairment was evident in ramping activity, 24 beta-band power, and phase locking of delta-band activity. Remarkably, these same neural 25 adjustments were preserved when the prediction relied on a rhythmic stream. Thus, the cerebellum 26 has a context-specific causal role in the adjustment of anticipatory neural dynamics of temporal 27 prediction, providing the requisite modulation to optimize behavior. 28 29 30 31 cerebellum. By this "cerebellar independent" model, EEG patterns in the CD group would be 77 similar to those observed in control participants. 78A second goal was to address the current debate in the literature regarding the context 79 specificity of these neural signatures of temporal prediction [35][36][37][38][39]. Increased delta-band phase 80 locking has been interpreted as reflecting rhythm-specific prediction mechanisms, such as the 81 entrainment of endogenous oscillations [3,4,21]. However, similar neural adjustments are 82 observed for aperiodic streams that enable interval-based prediction [6]. This has motivated the 83 hypothesis that rhythmic predictions may be mediated by the repeated operation of an interval-84 based mechanism given that a periodic stream consists of a series of concatenated intervals. 85Alternatively, similar neural adjustments in rhythm-and interval-based contexts may result from 86 common downstream processes that are driven by context-specific mechanisms. Our previous 87 study [29] provided behavioral evidence consistent with the latter hypothesis, with different 88 subcortical pathologies producing dissociable context-specific impairments. It remains to be seen 89 if similar dissociations are evident in terms of these neural signatures. 90Comparing the EEG patterns of interval-and rhythm-based prediction within the CD group 91 provides a novel way to address this issue. Behaviorally, we expected to replicate our previous 92 dissociation, observing a selective deficit in the interval-based condition, with performance similar 93 to matched controls on the rhythm-based condition [28]. For each neural pattern that is impaired 94 in interval-based prediction, finding a comparable impairment in rhythm-based prediction would 95 suggest that it is driven by cerebellar-dependent interval-based mechanisms, even in rhythmic 96 contexts. In contrast, fin...

show abstract

Neural entrainment and network resonance in support of top-down guided attention

Cited by 104 publications

References 59 publications

Frequency selectivity of persistent cortical oscillatory responses to auditory rhythmic stimulation

Frequency selectivity of persistent cortical oscillatory responses to auditory rhythmic stimulation

Neuronal resonance can be generated independently at distinct levels of organization

Context-specific control of the neural dynamics of temporal attention by the human cerebellum

Contact Info

Product

Resources

About