Cross-frequency interaction of the eye-movement related LFP signals in V1 of freely viewing monkeys

Institute of Neuroscience and Medicine (INM-6), Computational and Systems Neuroscience, Forschungszentrum Jülich Jülich, Germany.
Frontiers in Systems Neuroscience 02/2013; 7:1. DOI: 10.3389/fnsys.2013.00001
Source: PubMed


Recent studies have emphasized the functional role of neuronal activity underlying oscillatory local field potential (LFP) signals during visual processing in natural conditions. While functionally relevant components in multiple frequency bands have been reported, little is known about whether and how these components interact with each other across the dominant frequency bands. We examined this phenomenon in LFP signals obtained from the primary visual cortex of monkeys performing voluntary saccadic eye movements (EMs) on still images of natural-scenes. We identified saccade-related changes in respect to power and phase in four dominant frequency bands: delta-theta (2-4 Hz), alpha-beta (10-13 Hz), low-gamma (20-40 Hz), and high-gamma (>100 Hz). The phase of the delta-theta band component is found to be entrained to the rhythm of the repetitive saccades, while an increment in the power of the alpha-beta and low-gamma bands were locked to the onset of saccades. The degree of the power modulation in these frequency bands is positively correlated with the degree of the phase-locking of the delta-theta oscillations to EMs. These results suggest the presence of cross-frequency interactions in the form of phase-amplitude coupling (PAC) between slow (delta-theta) and faster (alpha-beta and low gamma) oscillations. As shown previously, spikes evoked by visual fixations during free viewing are phase-locked to the fast oscillations. Thus, signals of different types and at different temporal scales are nested to each other during natural viewing. Such cross-frequency interaction may provide a general mechanism to coordinate sensory processing on a fast time scale and motor behavior on a slower time scale during active sensing.

Download full-text


Available from: Sonja Grün, Nov 20, 2014
  • Source
    • "In addition to Bragin et al. 's study [24], other studies have confirmed the existence of theta-gamma coupling in the hippocampus [31– 34] and other brain areas [35] [36] [37] [38] [39] [40] [41] [42] [43] [44]. Other PAC combinations of low and high frequency rhythms have also been detected: delta-theta [37] [45], delta-alpha [46] [47], delta-beta [44] [46], delta-gamma [34] [35] [38] [41] [44], theta-alpha [46], theta-beta [44] [46], alpha-beta [45], alpha-gamma [15] [26] [27] [35] [46] [48] [49], and beta-gamma [7] [15]. It should be noted that the studies mentioned above do not always use the same frequency values for the boundaries of the different brain rhythms [50] and that sometimes the gamma band is divided into different subbands such as lowgamma , middle-gamma, and fast-gamma, with boundaries that can differ between different studies. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Phase-amplitude coupling (PAC), the phenomenon where the amplitude of a high frequency oscillation is modulated by the phase of a lower frequency oscillation, is attracting an increasing interest in the neuroscience community due to its potential relevance for understanding healthy and pathological information processing in the brain. PAC is a diverse phenomenon, having been experimentally detected in at least ten combinations of rhythms: delta-theta, delta-alpha, delta-beta, delta-gamma, theta-alpha, theta-beta, theta-gamma, alpha-beta, alpha-gamma, and beta-gamma. However, a complete understanding of the biophysical mechanisms generating this diversity is lacking. Here we review computational models of PAC generation that range from detailed models of neuronal networks, where each cell is described by Hodgkin-Huxley-type equations, to neural mass models (NMMs) where only the average activities of neuronal populations are considered. We argue that NMMs are an appropriate mathematical framework (due to the small number of parameters and variables involved and the richness of the dynamics they can generate) to study the PAC phenomenon.
    01/2015; 2015(5203):1-12. DOI:10.1155/2015/915606
  • Source
    • "Low frequency oscillations (like delta and theta) have been associated with long-range synchronization among spatially diverse systems in the context of decision making, attention, and memory (Haegens et al., 2011; Schroeder and Lakatos, 2009; Watrous et al., 2013). Delta band synchronization (at least in visual cortex) is also observed during eye movements (Bosman et al., 2009; Ito et al., 2013). It should be noted that an emergence of category selectivity in the absence of a change in general synchrony suggests that synchrony during the preferred category increases, while synchrony during the nonpreferred category decreases, thus offsetting each other when synchrony across all trials is computed. "
    [Show abstract] [Hide abstract]
    ABSTRACT: Functional connectivity between the prefrontal cortex (PFC) and striatum (STR) is thought critical for cognition and has been linked to conditions like autism and schizophrenia. We recorded from multiple electrodes in PFC and STR while monkeys acquired new categories. Category learning was accompanied by an increase in beta band synchronization of LFPs between, but not within, the PFC and STR. After learning, different pairs of PFC-STR electrodes showed stronger synchrony for one or the other category, suggesting category-specific functional circuits. This category-specific synchrony was also seen between PFC spikes and STR LFPs, but not the reverse, reflecting the direct monosynaptic connections from the PFC to STR. However, causal connectivity analyses suggested that the polysynaptic connections from STR to the PFC exerted a stronger overall influence. This supports models positing that the basal ganglia "train" the PFC. Category learning may depend on the formation of functional circuits between the PFC and STR.
    Neuron 06/2014; 83(1). DOI:10.1016/j.neuron.2014.05.005 · 15.05 Impact Factor
  • Source
    • "They found that emotional processing depends on the overt attentional resources. Ito et al. (2013) observed interaction between low and high frequency components in the local field potentials (LFP) recorded in the visual cortex of monkeys performing voluntary saccades during natural scene viewing. They concluded that the cross-frequency interaction is a manifestation of the mechanism which coordinates oculomotor behavior and sensory processing. "

    Frontiers in Systems Neuroscience 04/2014; 8(1):62. DOI:10.3389/fnsys.2014.00062
Show more