Investigating the spectral features of the brain meso-scale structure at rest

Iandolo, Riccardo; Semprini, Marianna; Sona, Diego; Mantini, Dante; Avanzino, Laura; Chiappalone, Michela

doi:10.1101/2020.05.26.114488

Cited by 2 publications

(2 citation statements)

References 67 publications

(174 reference statements)

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“…Nevertheless, the core of the visual computation lies in the cross-communication occurring at multiple oscillatory rhythms. Future studies should aim to extend our findings investigating how the present patterns generalize to other oscillatory scales and, more importantly, what are the cross-spectral functional connectivity patterns (Iandolo et al, 2020) subtending this complex network activity. Finally, it is necessary to acknowledge that in this study network activity during face processing has been investigated contrasting it with network activity during the visual processing of animal pictures.…”

Section: Discussionmentioning

confidence: 83%

Event‐related network changes unfold the dynamics of cortical integration during face processing

Maffei

Sessa

2021

Psychophysiology

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Face perception arises from a collective activation of brain regions in the occipital, parietal and temporal cortices. Despite the wide acknowledgment that these regions act in an intertwined network, the network behavior itself is poorly understood. Here we present a study in which time‐varying connectivity estimated from EEG activity elicited by facial expressions presentation was characterized using graph‐theoretical measures of node centrality and global network topology. Results revealed that face perception results from a dynamic reshaping of the network architecture, characterized by the emergence of hubs located in the occipital and temporal regions of the scalp. The importance of these nodes can be observed from the early stages of visual processing and reaches a climax in the same time‐window in which the face‐sensitive N170 is observed. Furthermore, using Granger causality, we found that the time‐evolving centrality of these nodes is associated with ERP amplitude, providing a direct link between the network state and local neural response. Additionally, investigating global network topology by means of small‐worldness and modularity, we found that face processing requires a functional network with a strong small‐world organization that maximizes integration, at the cost of segregated subdivisions. Interestingly, we found that this architecture is not static, but instead, it is implemented by the network from stimulus onset to ~200 ms. Altogether, this study reveals the event‐related changes underlying face processing at the network level, suggesting that a distributed processing mechanism operates through dynamically weighting the contribution of the cortical regions involved.

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Section: Discussionmentioning

confidence: 83%

Event‐related network changes unfold the dynamics of cortical integration during face processing

Maffei

Sessa

2021

Psychophysiology

View full text Add to dashboard Cite

show abstract

“…Nevertheless, the core of the visual computation lies in the crosscommunication occurring at multiple oscillatory rhythms. Future studies should aim to extend our findings investigating how the present patterns generalize to other oscillatory scales and, more importantly, what are the cross-spectral functional connectivity patterns (Iandolo et al, 2020) subtending this complex network activity.…”

Section: Discussionmentioning

confidence: 83%

Event-related network changes unfold the dynamics of cortical integration during face processing

Maffei

Sessa

2020

Preprint

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AbstractFace perception arises from a collective activation of brain regions in the occipital, parietal and temporal cortices. Despite wide acknowledgement that these regions act in an intertwined network, the network behavior itself is poorly understood. Here we present a study in which time-varying connectivity estimated from EEG activity elicited by facial expressions presentation was characterized using graph-theoretical measures of node centrality and global network topology. Results revealed that face perception results from a dynamic reshaping of the network architecture, characterized by the emergence of hubs located in the occipital and temporal regions of the scalp. The importance of these nodes can be observed from early stages of visual processing and reaches a climax in the same time-window in which the face-sensitive N170 is observed. Furthermore, using Granger causality, we found that the time-evolving centrality of these nodes is predictive of ERP amplitude, providing a direct link between the network state and local neural response.Additionally, investigating global network topology by means of small-worldness and modularity, we found that face processing requires a functional network with a strong small-world organization that maximizes integration, at the cost of segregated modular subdivisions. Interestingly, we found that this architecture is not static, but instead it is dynamically implemented by the network from stimulus onset to ∼200 msec. Altogether, this study shows that recognizing facial expressions relies on a distributed information processing mechanism that dynamically weights the contribution of the cortical regions involved.

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Investigating the spectral features of the brain meso-scale structure at rest

Cited by 2 publications

References 67 publications

Event‐related network changes unfold the dynamics of cortical integration during face processing

Event‐related network changes unfold the dynamics of cortical integration during face processing

Event-related network changes unfold the dynamics of cortical integration during face processing

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