Long-Distance Amplitude Correlations in the High Gamma Band Reveal Segregation and Integration within the Reading Network

Vidal, Juan R.; Freyermuth, Samson; Jerbi, Karim; Hamamé, Carlos M.; Ossandón, Tomás; Bertrand, Olivier; Minotti, Lorella; Kahane, Philippe; Berthoz, Alain; Lachaux, Jean-Philippe

doi:10.1523/jneurosci.4363-11.2012

Cited by 80 publications

(50 citation statements)

References 74 publications

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“…1. Previous studies (humans and primates) have demonstrated the validity and functional significance of these synchronous envelope amplitude modulations (Brookes et al, 2011, 2016; Vidal et al, 2012; Wang et al, 2012; Colclough et al, 2016) for both oscillatory and broadband signals.…”

Section: Methodsmentioning

confidence: 81%

Maturation trajectories of cortical resting-state networks depend on the mediating frequency band

et al. 2018

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The functional significance of resting state networks and their abnormal manifestations in psychiatric disorders are firmly established, as is the importance of the cortical rhythms in mediating these networks. Resting state networks are known to undergo substantial reorganization from childhood to adulthood, but whether distinct cortical rhythms, which are generated by separable neural mechanisms and are often manifested abnormally in psychiatric conditions, mediate maturation differentially, remains unknown. Using magnetoencephalography (MEG) to map frequency band specific maturation of resting state networks from age 7 to 29 in 162 participants (31 independent), we found significant changes with age in networks mediated by the beta (13–30 Hz) and gamma (31–80 Hz) bands. More specifically, gamma band mediated networks followed an expected asymptotic trajectory, but beta band mediated networks followed a linear trajectory. Network integration increased with age in gamma band mediated networks, while local segregation increased with age in beta band mediated networks. Spatially, the hubs that changed in importance with age in the beta band mediated networks had relatively little overlap with those that showed the greatest changes in the gamma band mediated networks. These findings are relevant for our understanding of the neural mechanisms of cortical maturation, in both typical and atypical development.

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Section: Methodsmentioning

confidence: 81%

Maturation trajectories of cortical resting-state networks depend on the mediating frequency band

et al. 2018

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“…Identify network structures that are responsible for a specific cognitive function: Neuroscientists examine how our brain carries out specific cognitive functions, identify the regions responsible or involved, and study their interaction with each other while executing these functions [41]. However, significant individual variations exist.…”

Section: High-level Brain Connectivity Analysis Tasksmentioning

confidence: 99%

Weighted graph comparison techniques for brain connectivity analysis

Alper

Bach

Riche

et al. 2013

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

159

149

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The analysis of brain connectivity is a vast field in neuroscience with a frequent use of visual representations and an increasing need for visual analysis tools. Based on an in-depth literature review and interviews with neuroscientists, we explore high-level brain connectivity analysis tasks that need to be supported by dedicated visual analysis tools. A significant example of such a task is the comparison of different connectivity data in the form of weighted graphs. Several approaches have been suggested for graph comparison within information visualization, but the comparison of weighted graphs has not been addressed. We explored the design space of applicable visual representations and present augmented adjacency matrix and node-link visualizations. To assess which representation best support weighted graph comparison tasks, we performed a controlled experiment. Our findings suggest that matrices support these tasks well, outperforming node-link diagrams. These results have significant implications for the design of brain connectivity analysis tools that require weighted graph comparisons. They can also inform the design of visual analysis tools in other domains, e.g. comparison of weighted social networks or biological pathways.

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“…The next step is to provide in addition online measures of functional connectivity, considering the acknowledged importance of long-distance neural interactions for cognition (Varela et al, 2001). We are currently conducting the first studies of that kind, with a measure of connectivity based on amplitude-amplitude coupling in the gamma range, following recent (offline) evidence that such coupling is modulated by cognitive activity (Vidal et al, 2012). …”

Section: Investigating Neuronal Microdynamicsmentioning

confidence: 99%

Microcognitive science: bridging experiential and neuronal microdynamics

Paquet

Lachaux

2013

Front. Hum. Neurosci.

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Neurophenomenology, as an attempt to combine and mutually enlighten neural and experiential descriptions of cognitive processes, has met practical difficulties which have limited its implementation into actual research projects. The main difficulty seems to be the disparity of the levels of description: while neurophenomenology strongly emphasizes the micro-dynamics of experience, at the level of brief mental events with very specific content, most neural measures have much coarser functional selectivity, because they mix functionally heterogeneous neural processes either in space or in time. We propose a new starting point for this neurophenomenology, based on (a) the recent development of human intra-cerebral EEG (iEEG) research to highlight the neural micro-dynamics of human cognition, with millimetric and millisecond precision and (b) a disciplined access to the experiential micro-dynamics, through specific elicitation techniques. This lays the foundation for a microcognitive science, the practical implementation of neurophenomenology to combine the neural and experiential investigations of human cognition at the subsecond level. Keywords: elicitation, neuro-phenomenology, microcognition, microdynamics, neurofeedback, enaction, microgenesis, gamma bandDespite the immediate appeal of neurophenomenology, as an attempt to combine and mutually enlighten neural and experiential descriptions of cognitive processes (Varela, 1996), practical difficulties have limited its implementation into actual research projects. In spite of some success (Lutz et al., 2002;Petitmengin et al., 2007), an acknowledged challenge has been to find a level of observation at which convergence is possible. Neurophenomenology strongly emphasizes the micro-dynamics of experience, at the level of brief mental events with very specific content, such as visual perception or access to the meaning of a word. However, most neural measures have much coarser functional selectivity, because they mix functionally heterogeneous neural processes either in space (i.e., scalp-level EEG) or in time (i.e., fMRI). Such discrepancy makes it extremely difficult to even try a correlation between neural and experiential descriptions. In this paper, we propose a new starting point for neurophenomenology, based on (a) the recent development of human intra-cerebral EEG (iEEG) research to reveal the neural microdynamics of human cognition, with millimetric and millisecond precision and (b) a disciplined access to the experiential microdynamics, through specific elicitation techniques. If a bridge is to be built between the neural and experiential levels, it should be done where the river is shallow, where descriptions of mental processes are fine-grained on both sides. This means simple cognitive operations, at the level of the perception-action cycle (Fuster, 2004;Madl et al., 2011), and precise measures of their micro-dynamics. This lays the foundation for a micro-cognitive science: the practical implementation of neurophenomenology to combine the neural and expe...

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Long-Distance Amplitude Correlations in the High Gamma Band Reveal Segregation and Integration within the Reading Network

Cited by 80 publications

References 74 publications

Maturation trajectories of cortical resting-state networks depend on the mediating frequency band

Maturation trajectories of cortical resting-state networks depend on the mediating frequency band

Weighted graph comparison techniques for brain connectivity analysis

Microcognitive science: bridging experiential and neuronal microdynamics

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