Brain rhythms define distinct interaction networks with differential dependence on anatomy

Vezoli, Julien; Vinck, Martin; Bosman, Conrado A.; Bastos, André M.; Lewis, Chris; Kennedy, Henry

doi:10.1016/j.neuron.2021.09.052

Cited by 84 publications

(95 citation statements)

References 80 publications

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“…Considering the importance of the lamina profiles of axon terminals (Barbas, 2015a; Felleman and Van Essen, 1991; Vezoli et al, 2021a), we performed hierarchical clustering to identify eight clusters of different lamina preferences (Figure 2J and Figure S3G). Based on the stereotypical patterns reported previously, the clusters that target the upper and deeper layers (grouped as UL and DL, respectively) are considered to be the “feedback”, whereas those that target widely across the middle layers (ML) are considered to be the “feedforward” or horizontal.…”

Section: Resultsmentioning

confidence: 99%

“…Our database (Brain/MINDS data portal: https://dataportal.brainminds.jp/marmoset-tracer-injection), with high volumetric resolution and signal sensitivity, will be a unique addition to these resources. From a comparative perspective, “focal” projections are considered to be common in primates (Bugbee and Goldman-Rakic, 1983; Krubitzer and Kaas, 1990), while the “spread-type” weak connectivity may exist even in non-primates (Bassett and Bullmore, 2017; Markov et al, 2013; Vezoli et al, 2021a). Our marmoset database will serve a pivotal role in elucidating the primate-specific and general rules of the PFC organization.…”

Section: Discussionmentioning

confidence: 99%

“…We found it intriguing that the feedforward- and feedback-type projections were sometimes intermingled in the same area (Figure 7B). It is generally believed that cortical areas are hierarchically organized, and that integration of neural activities takes place in a step-wise manner (Felleman and Van Essen, 1991; Markov et al, 2014; Vezoli et al, 2021a, 2021b). Our data suggest that the parallel subsystems may be embedded within the globally hierarchical networks.…”

Section: Discussionmentioning

confidence: 99%

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Local and long-distance organization of prefrontal cortex circuits in the marmoset brain

Watakabe

Skibbe

Nakae

et al. 2021

Preprint

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The primate prefrontal cortex (PFC) has greatly expanded to evolve specialized architecture, but its roles in top-down brain control remain enigmatic. Based on connectomics mapping of the marmoset PFC, we characterized two contrasting features of corticocortical and corticostriatal projections. One is the "focalness" of projections, exemplified by multiple columnar axonal terminations in the cortical layers and the other is the "widespreadness" of weaker projections, whose patterns consisted of several common motifs representing the framework of PFC connectivity. We clarified the topographic rules of distribution for these features, which should constrain how PFC neurons can coordinate to control the target regions as populations. These features are observed only primitively in rodents and are considered critical in understanding the roles of the PFC in neuropsychiatric disorders.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Local and long-distance organization of prefrontal cortex circuits in the marmoset brain

Watakabe

Skibbe

Nakae

et al. 2021

Preprint

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“…Moreover, alpha (8-12 Hz) and beta (13-30 Hz) oscillations are maximal in infragranular layers [46][47][48] where feedback connections arise 49 . ABD has also been shown to mediate feedback processing during speech processing in human intracranial EEG 58,59 and during visual stimulation [60][61][62] , and is associated with better discrimination performance in the sensorimotor network 63 and with the extent of auditory percepts in an illusory auditory paradigm 64 . The precise source of neural sensory feedback signals remains elusive; they may arise from distant fronto-parietal regions, or thalamic and reticular thalamic circuits 65 .…”

Section: Discussionmentioning

confidence: 99%

Reduced neural feedback signaling despite robust neuron and gamma auditory responses during human sleep

et al. 2022

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During sleep, sensory stimuli rarely trigger a behavioral response or conscious perception. However, it remains unclear whether sleep inhibits specific aspects of sensory processing, such as feedforward or feedback signaling. Here, we presented auditory stimuli (for example, click-trains, words, music) during wakefulness and sleep in patients with epilepsy, while recording neuronal spiking, microwire local field potentials, intracranial electroencephalogram and polysomnography. Auditory stimuli induced robust and selective spiking and high-gamma (80–200 Hz) power responses across the lateral temporal lobe during both non-rapid eye movement (NREM) and rapid eye movement (REM) sleep. Sleep only moderately attenuated response magnitudes, mainly affecting late responses beyond early auditory cortex and entrainment to rapid click-trains in NREM sleep. By contrast, auditory-induced alpha–beta (10–30 Hz) desynchronization (that is, decreased power), prevalent in wakefulness, was strongly reduced in sleep. Thus, extensive auditory responses persist during sleep whereas alpha–beta power decrease, likely reflecting neural feedback processes, is deficient. More broadly, our findings suggest that feedback signaling is key to conscious sensory processing.

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“…For these reasons, brain oscillations have emerged as an important feature of large-scale networks, with the potential to link specific patterns of neural activity to behavior (1). Recently, it has been shown that the oscillatory activity in distinct frequency bands is differentially constrained by the anatomical architecture of the white matter, i.e., the connectome in primates (6). However, how distinct brain rhythms support different modes of information processing at the whole-brain level in humans remains unknown.…”

Section: Introductionmentioning

confidence: 99%

Neural integration and segregation revealed by a joint time-vertex connectome spectral analysis

Rué-Queralt

Mancini

Rochas

et al. 2022

Preprint

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Brain oscillations are produced by the coordinated activity of large groups of neurons and different rhythms are thought to reflect different modes of information processing. These modes, in turn, are known to occur at different spatial scales. Nevertheless, how these rhythms support different modes of information processing at the brain scale is not yet fully understood. Here we present "Joint Time-Vertex Connectome Spectral Analysis", a framework for characterizing the spectral content of brain activity both in time (temporal frequencies) and in space (spatial connectome harmonics). This method allows us to estimate the contribution of integration (global communication) and segregation (functional specialization) mechanisms at different temporal frequency bands in source-reconstructed M/EEG signals, thus providing a better understanding of the complex interplay between different information processing modes. We validated our method on two different datasets, an auditory steady-state response (ASSR) and a visual grating task. Our results suggest that different information processing mechanisms are carried out at different frequency channels: while integration seems to be a specific mechanism occurring at low temporal frequencies (alpha and theta), segregation is only observed at higher temporal frequencies (high and low gamma). Crucially, the estimated contribution of the integration and segregation mechanisms predicts performance in a behavioral task, demonstrating the neurophysiological relevance of this new framework.

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Brain rhythms define distinct interaction networks with differential dependence on anatomy

Cited by 84 publications

References 80 publications

Local and long-distance organization of prefrontal cortex circuits in the marmoset brain

Local and long-distance organization of prefrontal cortex circuits in the marmoset brain

Reduced neural feedback signaling despite robust neuron and gamma auditory responses during human sleep

Neural integration and segregation revealed by a joint time-vertex connectome spectral analysis

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