Brain complexity relies on the integrity of structural and functional brain networks, where specialized areas synergistically cooperate on a large scale. Local alterations within these areas can lead to widespread consequences, leading to a reduction in overall network complexity. Investigating the mechanisms governing this occurrence and exploring potential compensatory interventions is a pressing research focus. In this study, we employed a whole-brain in silico model to simulate the large- scale impact of local node alterations. These were assessed by network complexity metrics derived from both the model's spontaneous activity (i.e., Lempel–Ziv complexity (LZc)) and its responses to simulated local perturbations (i.e., the Perturbational Complexity Index (PCI)). Compared to LZc, local node silencing of distinct brain regions induced large-scale alterations that were paralleled by a systematic drop of PCI. Specifically, while the intact model engaged in complex interactions closely resembling those obtained in empirical studies, it displayed reduced PCI values across all local manipulations. This approach also revealed the heterogeneous impact of different local manipulations on network alterations, emphasizing the importance of posterior hubs in sustaining brain complexity. This work marks an initial stride toward a comprehensive exploration of the mechanisms underlying the loss and recovery of brain complexity across different conditions.

Investigating the Impact of Local Manipulations on Spontaneous and Evoked Brain Complexity Indices: A Large-Scale Computational Model / G. Gaglioti, T.R. Nieus, M. Massimini, S. Sarasso. - In: APPLIED SCIENCES. - ISSN 2076-3417. - 14:2(2024), pp. 890.1-890.23. [10.3390/app14020890]

Investigating the Impact of Local Manipulations on Spontaneous and Evoked Brain Complexity Indices: A Large-Scale Computational Model

G. Gaglioti
Co-primo
;
T.R. Nieus
Co-primo
;
M. Massimini
Secondo
;
S. Sarasso
Ultimo
2024

Abstract

Brain complexity relies on the integrity of structural and functional brain networks, where specialized areas synergistically cooperate on a large scale. Local alterations within these areas can lead to widespread consequences, leading to a reduction in overall network complexity. Investigating the mechanisms governing this occurrence and exploring potential compensatory interventions is a pressing research focus. In this study, we employed a whole-brain in silico model to simulate the large- scale impact of local node alterations. These were assessed by network complexity metrics derived from both the model's spontaneous activity (i.e., Lempel–Ziv complexity (LZc)) and its responses to simulated local perturbations (i.e., the Perturbational Complexity Index (PCI)). Compared to LZc, local node silencing of distinct brain regions induced large-scale alterations that were paralleled by a systematic drop of PCI. Specifically, while the intact model engaged in complex interactions closely resembling those obtained in empirical studies, it displayed reduced PCI values across all local manipulations. This approach also revealed the heterogeneous impact of different local manipulations on network alterations, emphasizing the importance of posterior hubs in sustaining brain complexity. This work marks an initial stride toward a comprehensive exploration of the mechanisms underlying the loss and recovery of brain complexity across different conditions.
brain complexity; whole-brain modeling; node silencing; perturbations; Lempel–Ziv complexity; Perturbational Complexity Index
Settore BIO/09 - Fisiologia
Settore MED/26 - Neurologia
   Human Brain Project Specific Grant Agreement 3 (HBP SGA3)
   HBP SGA3
   EUROPEAN COMMISSION
   H2020
   945539

   NEurological MEchanismS of Injury and Sleep-like cellular dynamics (NEMESIS)
   NEMESIS
   EUROPEAN COMMISSION
   101071900

   Big Data Challenges for Mathematics (BIGMATH)
   BIGMATH
   EUROPEAN COMMISSION
   H2020
   812912
2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1025558
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