International audienceBrain activity during rest displays complex, rapidly evolving patterns in space and time. Structural connections comprising the human connectome are hypothesized to impose constraints on the dynamics of this activity. Here, we use magnetoencephalography (MEG) to quantify the extent to which fast neural dynamics in the human brain are constrained by structural connections inferred from diffusion MRI tractography. We characterize the spatio-temporal unfolding of whole-brain activity at the millisecond scale from source-reconstructed MEG data, estimating the probability that any two brain regions will significantly deviate from baseline activity in consecutive time epochs. We find that the structural connectome relates to...
Over the past decade, networks have become a leading model to illustrate both the anatomical relatio...
Communication between neuronal populations in the human brain is characterized by complex functional...
Over the past decade, scientific interest in the properties of large-scale spontaneous neural dynami...
International audienceBrain activity during rest displays complex, rapidly evolving patterns in spac...
Human cognition is dynamic, alternating over time between externally-focused states and more abstrac...
The anatomical architecture of the brain constrains the dynamics of interactions between various reg...
The functional organization of neural processes is constrained by the brain's intrinsic structural c...
The functional organization of neural processes is constrained by the brain's intrinsic structural c...
Fulltext embargoed for: 6 months post date of publicationNeuronal dynamics display a complex spatiot...
Macroscopic neural activity measured using fMRI, MEG and EEG shows consistent statistical dependenci...
While segregation and integration of neural information in the neocortex are thought to be important...
Recent efforts to model human brain activity on the scale of the whole brain rest on connectivity es...
To provide an effective substrate for cognitive processes, functional brain networks should be able ...
Brain dynamics are thought to unfold on a network determined by the pattern of axonal connections li...
The study of brain dynamics enables us to characterize the time-varying functional connectivity amon...
Over the past decade, networks have become a leading model to illustrate both the anatomical relatio...
Communication between neuronal populations in the human brain is characterized by complex functional...
Over the past decade, scientific interest in the properties of large-scale spontaneous neural dynami...
International audienceBrain activity during rest displays complex, rapidly evolving patterns in spac...
Human cognition is dynamic, alternating over time between externally-focused states and more abstrac...
The anatomical architecture of the brain constrains the dynamics of interactions between various reg...
The functional organization of neural processes is constrained by the brain's intrinsic structural c...
The functional organization of neural processes is constrained by the brain's intrinsic structural c...
Fulltext embargoed for: 6 months post date of publicationNeuronal dynamics display a complex spatiot...
Macroscopic neural activity measured using fMRI, MEG and EEG shows consistent statistical dependenci...
While segregation and integration of neural information in the neocortex are thought to be important...
Recent efforts to model human brain activity on the scale of the whole brain rest on connectivity es...
To provide an effective substrate for cognitive processes, functional brain networks should be able ...
Brain dynamics are thought to unfold on a network determined by the pattern of axonal connections li...
The study of brain dynamics enables us to characterize the time-varying functional connectivity amon...
Over the past decade, networks have become a leading model to illustrate both the anatomical relatio...
Communication between neuronal populations in the human brain is characterized by complex functional...
Over the past decade, scientific interest in the properties of large-scale spontaneous neural dynami...