2021
DOI: 10.7554/elife.67400
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The structural connectome constrains fast brain dynamics

Abstract: Brain 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… Show more

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Cited by 54 publications
(71 citation statements)
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References 34 publications
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“…A working hypothesis might be that the brain in ALS is operating in a sub-optimal dynamical regime, resulting in more stereotyped activity. We borrow from statistical mechanics, a solid branch of physics, the concept of neuronal avalanches : these are fast, aperiodic bursts of activations that spread across the whole-brain 28 . If the brain is operating in a regime that allows flexible activity, neuronal avalanches efficiently reconfigure themselves over time 46 .…”
Section: Discussionmentioning
confidence: 99%
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“…A working hypothesis might be that the brain in ALS is operating in a sub-optimal dynamical regime, resulting in more stereotyped activity. We borrow from statistical mechanics, a solid branch of physics, the concept of neuronal avalanches : these are fast, aperiodic bursts of activations that spread across the whole-brain 28 . If the brain is operating in a regime that allows flexible activity, neuronal avalanches efficiently reconfigure themselves over time 46 .…”
Section: Discussionmentioning
confidence: 99%
“…This fact would account for many statistical properties that are observed in real data, and large-scale bursts of activations are interpreted as “neuronal avalanches”, which occur at multiple spatial and temporal scales 27 . Neuronal avalanches are tightly regulated and their spatial spreading pattern is constrained by the structural connectome 28 . In a healthy brain, neuronal avalanches constantly reconfigure over time, and recruit different groups of regions, resulting in the brain exploring a large number of patterns.…”
Section: Introductionmentioning
confidence: 99%
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“…Preprocessing and source-reconstruction was performed similarly as in Sorrentino et al 41 . In short, a 4 th -order Butterworth IIR band-pass filter was implemented, using the Fieldtrip toolbox in MATLAB 42 , in order to filter the data in the 0.5-48 Hz range.…”
Section: Methodsmentioning
confidence: 99%
“…Then, we obtained the time series of 116 regions of interest (ROIs), based on the AAL atlas 45 , using the volume conduction model proposed by Nolte 46 , and applying the Linearly Constrained Minimum Variance 47 beamformer algorithm included in the Fieldtrip toolbox 42 . The resulting time series were band-pass filtered in each canonical frequency band (i.e., delta (0.5 -4 Hz), theta (4 -8 Hz), alpha (8 -13 Hz), beta (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30), and gamma (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)). Only 90 ROIs were selected for further analysis, since we excluded ROIs related to the cerebellum because of low reliability.…”
Section: Source Reconstructionmentioning
confidence: 99%