Laminar differences in gamma and alpha coherence in the ventral stream

By E. Buffalo, Pascal Fries, R. Landman, Timothy J. Buschman, Robert Desimone. Proceedings of the National Academy of Sciences of the United States of America, 2011

634 citations recorded by the source corpus.

Attention to a stimulus enhances both neuronal responses and gamma frequency synchrony in visual area V4, both of which should increase the impact of attended information on downstream neurons. To determine whether gamma synchrony is common throughout the ventral stream, we recorded from neurons in the superficial and deep layers of V1, V2, and V4 in two rhesus monkeys. We found an unexpected striking difference in gamma synchrony in the superficial vs. deep layers. In all three areas, spike-field coherence in the gamma (40–60 Hz) frequency range was largely confined to the superficial layers, whereas the deep layers showed maximal coherence at low frequencies (6–16 Hz), which included the alpha range. In the superficial layers of V2 and V4, gamma synchrony was enhanced by attention, whereas in the deep layers, alpha synchrony was reduced by attention. Unlike these major differences in synchrony, attentional effects on firing rates and noise correlation did not differ substantially between the superficial and deep layers. The results suggest that synchrony plays very different roles in feedback and feedforward projections.

Subfields: Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/d12006f8d50e45ca9d67eaa4cceda7953b04da64

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In Cognitive Neuroscience

Citations in the corpus

Alpha-beta and gamma rhythms subserve feedback and feedforward influences among human visual cortical areas (2016, positive): “…alpha and beta rhythms (Wang, 2010; Bressler and Richter, 2015; Haegens et al., 2014; Gregoriou et al., 2015); however, the present analysis revealed one peak spanning across alpha and beta frequency ranges (similar to Buffalo et al., 2011), which we therefore refer to as the alphabeta band.”
Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex (2014, methodology): “In contrast, the high-frequency γ-rhythm increases if visual stimuli are presented, and in particular if they are task-relevant (12, 13).”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “, 2001b); - stimulus size (Gieselmann & Thiele, 2008); + contrast (Ray & Maunsell, 2010); ± attention in V1 (Buffalo et al., 2011; Chalk et al., 2010) V1-V4 (Bosman et al.”
Anatomy of hierarchy: Feedforward and feedback pathways in macaque visual cortex (2013, background): “with gamma coherence (40-60 Hz) in the supragranular and alpha-beta coherence (6-16 Hz) in the infragranular layers (Buffalo et al., 2011).”
α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking (2011, background): “Furthermore, in V1, V2, and V4, coherence between α-band oscillations and (multiunit) spikes that decreased with visual attention was demonstrated (34, 37).”
Rhythms For Cognition: Communication Through Coherence (2015, positive): “Spike-LFP coherence shows an alpha-beta band peak for deep layers and both a theta and a gamma peak for superficial layers (adapted and modified from (Buffalo et al., 2011)).”
Attentional Stimulus Selection through Selective Synchronization between Monkey Visual Areas (2012, positive): “…is gamma synchronized almost exclusively in the superficial layers, while neuronal spiking in infragranular layers lacks gamma synchronization (Buffalo et al., 2011), and (2) V1 neurons projecting to V4 are located almost exclusively in supragranular layers, while V4 neurons projecting to V1…”
Prefrontal Cortex Networks Shift from External to Internal Modes during Learning (2016, background): “A growing body of evidence (Buschman and Miller, 2007; Buffalo et al., 2011; Schmiedt et al., 2014; van Kerkoerle et al., 2014; Bastos et al., 2015; Fries, 2015) suggests that in the visual cortex, feedback processing from higher-level to lower-level cortical areas is mediated by alpha/beta-band…”
Canonical microcircuits for predictive coding. (2012, positive): “Finally, the spiking activity of neurons in the superficial layers of visual cortex are more coherent with gamma-frequency oscillations in the local field potential, while neurons in deep layers are more coherent with alpha-frequency oscillations (Buffalo et al., 2011).”