Constructing representative group networks from tractography: lessons from a dynamical approach

Frontiers in Network Physiology, Journal Year: 2024, Volume and Issue: 4

Published: Nov. 8, 2024

Human group connectome analysis relies on combining individual data to construct a single representative network which can be used describe brain organisation and identify differences between subject groups. Existing methods adopt different strategies select the structural features retained or optimised at level. In absence of ground truth, however, it is unclear are most suitable how evaluate consequences applying any given strategy. this investigation, we consider impact defining as if recapitulate not just structure networks in cohort tested but also their dynamical behaviour, measured using model coupled oscillators. We applied widely approach consensus thresholding dataset connectomes from healthy adult for range thresholds then identified dynamically that having least deviation measure system. found our recaptured aspects did specifically optimise, with no significant difference other constructed via optimise those metrics. Additionally, these were either chosen less so. While suggest dynamics should one criteria representativeness, has evolved under pressure carrying out specific functions, results question persists valid testable.

Language: Английский

Metastable Oscillatory Modes as a Signature of Entropy Management in the Brain

Entropy, Journal Year: 2024, Volume and Issue: 26(12), P. 1048 - 1048

Published: Dec. 3, 2024

Entropy management, central to the Free Energy Principle, requires a process that temporarily shifts brain activity toward states of lower or higher entropy. Metastable synchronization is by which system achieves entropy fluctuations intermittently transitioning between collective order and disorder. Previous work has shown oscillations, similar those recorded from brain, emerge spontaneously weakly stable in critically coupled oscillator systems. However, direct evidence linking formation oscillations lacking. In this short communication, we demonstrate how emergence Oscillatory Modes (MOMs) directly associated with temporary reduction ongoing dynamics. We apply Shannon distribution eigenvalues phase covariance over sliding time windows, capturing temporal evolution at level entire dynamical system. By demonstrating MOMs impacts system’s levels, bridge theoretical works on physics oscillators FEP framework, supporting hypothesis rhythms experimentally are signature management.

Language: Английский