Intermodal Consistency of Whole‐Brain Connectivity and Signal Propagation Delays

Measuring propagation of perturbations across the human brain and their transmission delays is critical for network neuroscience, but it is a challenging problem that still requires advancement. Here, we compare results from a recently introduced, noninvasive technique of functional delays estimation from source-reconstructed electro/magnetoencephalography, to the corresponding findings from a large dataset of cortico-cortical evoked potentials estimated from intracerebral stimulations of patients suffering from pharmaco-resistant epilepsies. The two methods yield significantly similar probabilistic connectivity maps and signal propagation delays, in both cases characterized with Pearson correlations greater than 0.5 (when grouping by stimulated parcel is applied for delays). This similarity suggests a correspondence between the mechanisms underpinning the propagation of spontaneously generated scale-free perturbations (i.e., neuronal avalanches observed in resting state activity studied using magnetoencephalography) and the spreading of cortico-cortical evoked potentials. This manuscript provides evidence for the accuracy of the estimate of functional delays obtained noninvasively from reconstructed sources. Conversely, our findings show that estimates obtained from externally induced perturbations in patients capture physiological activities in healthy subjects. In conclusion, this manuscript constitutes a mutual validation between two modalities, broadening their scope of applicability and interpretation. Importantly, the capability to measure delays noninvasively (as per MEG) paves the way for the inclusion of functional delays in personalized large-scale brain models as well as in diagnostic and prognostic algorithms.

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Publication Details

Journal
Human Brain Mapping
Published
2025-02-01
DOI
https://doi.org/10.1002/hbm.70093
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.43

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Intermodal Consistency of Whole‐Brain Connectivity and Signal Propagation Delays

Olivier David, Pierpaolo Sorrentino, Antonella Romano, Emahnuel Troisi Lopez et al.
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Human Brain Mapping
Functional Brain Connectivity Studies
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article

Intermodal Consistency of Whole‐Brain Connectivity and Signal Propagation Delays

Olivier David, Pierpaolo Sorrentino, Antonella Romano, Emahnuel Troisi Lopez, Viktor Jirsa, Maciej Jedynak
article en
1 citations

Abstract

Measuring propagation of perturbations across the human brain and their transmission delays is critical for network neuroscience, but it is a challenging problem that still requires advancement. Here, we compare results from a recently introduced, noninvasive technique of functional delays estimation from source-reconstructed electro/magnetoencephalography, to the corresponding findings from a large dataset of cortico-cortical evoked potentials estimated from intracerebral stimulations of patients suffering from pharmaco-resistant epilepsies. The two methods yield significantly similar probabilistic connectivity maps and signal propagation delays, in both cases characterized with Pearson correlations greater than 0.5 (when grouping by stimulated parcel is applied for delays). This similarity suggests a correspondence between the mechanisms underpinning the propagation of spontaneously generated scale-free perturbations (i.e., neuronal avalanches observed in resting state activity studied using magnetoencephalography) and the spreading of cortico-cortical evoked potentials. This manuscript provides evidence for the accuracy of the estimate of functional delays obtained noninvasively from reconstructed sources. Conversely, our findings show that estimates obtained from externally induced perturbations in patients capture physiological activities in healthy subjects. In conclusion, this manuscript constitutes a mutual validation between two modalities, broadening their scope of applicability and interpretation. Importantly, the capability to measure delays noninvasively (as per MEG) paves the way for the inclusion of functional delays in personalized large-scale brain models as well as in diagnostic and prognostic algorithms.

Human Brain MappingVol. 46(2)
Inserm (FR), University of Sassari (IT), Parthenope University of Naples (IT), Aix-Marseille Université (FR), Institute of Applied Science and Intelligent Systems (IT), Institut de Neurosciences des Systèmes (FR), Fondation Lenval (FR), National Research Council (IT)
European Commission, Agence Nationale de la Recherche
Openalex Percentile: Top 23%
Functional Brain Connectivity Studies
1.43
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