Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

Rigoni, Isotta; Rué-Queralt, Joan; Glomb, Katharina; Preti, Maria Giulia; Roehri, Nicolas; Tourbier, Sébastien; Spinelli, Laurent; Seeck, Margitta; Ville, Dimitri Van De; Hagmann, Patric; Vulliémoz, Serge

doi:10.1016/j.clinph.2023.05.012

Cited by 5 publications

(6 citation statements)

References 38 publications

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“…In addition, prior work using resting-state MEG on 84 subjects have found the same regions to be decoupled according to the SDI (Griffa & Preti, 2022). Taken together, these results suggest decoupling of similar brain areas from short periods of four seconds in Rigoni’s study (Rigoni et al, 2023), and up to a few minutes of resting state and video watching in our results and in Griffa and Preti’s (Griffa & Preti, 2022). This questions the potential presence of time-varying aspects of structure-function coupling.…”

Section: Discussionsupporting

confidence: 85%

“…A limited number of studies have undertaken the joint analysis of EEG cortical activity with structural connectomes using GSP, either with visual event-related potentials (Glomb et al, 2020; Rué-Queralt et al, 2021), auditory steady-state responses (Rué-Queralt et al, 2023) or during interictal epileptic discharges (Rigoni et al, 2023). Because the focus in these studies was on event-related experiments, the probed time windows were brief, ranging from a few hundred milliseconds to a few seconds.…”

Section: Discussionmentioning

confidence: 99%

“…In a study from Rigoni and colleagues analyzing EEG during four second-long epochs of interictal epileptic spikes decomposed on network harmonics (i.e. eigenvectors) of a structural connectome, the authors report that at least three patients have significant decoupling of ventral, parahippocampal areas as well as inferior frontal areas (Rigoni et al, 2023). In addition, prior work using resting-state MEG on 84 subjects have found the same regions to be decoupled according to the SDI (Griffa & Preti, 2022).…”

Section: Discussionmentioning

confidence: 99%

“…Other recent studies investigating EEG visual and auditory event-related potentials found that during these tasks, the cortical activity can be compactly represented by a sparse set of structural connectome harmonics (Glomb et al, 2020; Rué-Queralt et al, 2021, 2023). Structure-Function coupling of the EEG has also been studied during epileptic seizures (Rigoni et al, 2023) with results showing that epileptic activity is more coupled to a generic structural graph during the spike. These studies focused on characterising the interplay between anatomical structure and EEG activity in well isolated and/or evoked events.…”

Section: Introductionmentioning

confidence: 99%

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Structure-function coupling and decoupling during movie-watching and resting-state: Novel insights bridging EEG and structural imaging

Subramani,

Lioi,

Jerbi

et al. 2024

Preprint

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The intricate structural and functional architecture of the brain enables a wide range of cognitive processes ranging from perception and action to higher-order abstract thinking. Despite important progress, the relationship between the brain’s structural and functional properties is not yet fully established. In particular, the way the brain’s anatomy shapes its electrophysiological dynamics remains elusive. The electroencephalography (EEG) activity recorded during naturalistic tasks is thought to exhibit patterns of coupling with the underlying brain structure that vary as a function of behavior. Yet these patterns have not yet been sufficiently quantified. We address this gap by jointly examining individual Diffusion-Weighted Imaging (DWI) scans and continuous EEG recorded during video-watching and resting state, using a Graph Signal Processing (GSP) framework. By decomposing the structural graph into Eigenmodes and expressing the EEG activity as an extension of anatomy, GSP provides a way to quantify the structure-function coupling. Our findings indicate that the EEG activity in the sensorimotor cortex is strongly coupled with brain structure, while the activity in higher-order systems is less constrained by anatomy, i.e., shows more flexibility. In addition, we found that watching videos was associated with stronger structure-function coupling in the sensorimotor cortex, as compared to resting-state data. Together, this un-precedented characterization of the link between structure and function using continuous EEG during naturalistic behavior underscores the role of anatomy in shaping ongoing cognitive processes. Taken together, by combining the temporal and spectral resolution of EEG and the methodological advantages of GSP, our work sheds new light onto the anatomo-functional organization of the brain.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Structure-function coupling and decoupling during movie-watching and resting-state: Novel insights bridging EEG and structural imaging

Subramani,

Lioi,

Jerbi

et al. 2024

Preprint

View full text Add to dashboard Cite

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“…The introduction of GSP has offered a novel framework for combining structure-function analyses, allowing the extraction of harmonic basis functions from the structural connectivity (SC), which then serves to obtain a graph-spectral representation of the data [26, 56, 57, 58, 59, 60]. In this context, Preti and Van De Ville (2019) introduced the structural-decoupling index (SDI) [26], which quantifies the degree of structure-function dependency for each brain region.…”

Section: Introductionmentioning

confidence: 99%

Structure-Function Relationship in Electrical and Hemodynamic Brain Networks: Insights from EEG and fNIRS during Rest and Task States

Blanco,

Preti,

Koba

et al. 2024

Preprint

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Identifying relationships between structural and functional networks is crucial for understanding the large-scale organization of the human brain. The potential contribution of emerging techniques like functional near-infrared spectroscopy to investigate the structure-functional relationship has yet to be explored. In our study, we characterize global and local structure-function coupling using source-reconstructed Electroencephalography (EEG) and Functional near-infrared spectroscopy (fNIRS) signals in both resting state and motor imagery tasks, as this relationship during task periods remains underexplored. Employing the mathematical framework of graph signal processing, we investigate how this relationship varies across electrical and hemodynamic networks and different brain states. Results show that fNIRS structure-function coupling resembles slower-frequency EEG coupling at rest, with variations across brain states and oscillations. Locally, the relationship is heterogeneous, with greater coupling in the sensory cortex and increased decoupling in the association cortex, following the unimodal to transmodal gradient. Discrepancies between EEG and fNIRS are noted, particularly in the frontoparietal network. Cross-band representations of neural activity revealed lower correspondence between electrical and hemodynamic activity in the transmodal cortex, irrespective of brain state while showing specificity for the somatomotor network during a motor imagery task. Overall, these findings initiate a multimodal comprehension of structure-function relationship and brain organization when using affordable functional brain imaging.

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Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity

Rigoni,

Padmasola,

Sheybani

et al. 2024

Neurobiology of Disease

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Structure-function coupling increases during interictal spikes in temporal lobe epilepsy: A graph signal processing study

Cited by 5 publications

References 38 publications

Structure-function coupling and decoupling during movie-watching and resting-state: Novel insights bridging EEG and structural imaging

Structure-function coupling and decoupling during movie-watching and resting-state: Novel insights bridging EEG and structural imaging

Structure-Function Relationship in Electrical and Hemodynamic Brain Networks: Insights from EEG and fNIRS during Rest and Task States

Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity

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