The current study was designed to leverage the potential of CFD methods for the evaluation Furthermore, jointĪerodynamic and aeroacoustic investigations are rare for that particular phenomena. Phenomena is still incomplete and remains a very active research field. As a result, the characterization of this highly complex Parts of typical rotor geometries, in-situ experimental investigation of tip leakage flow isĪrduous at best, requiring advanced experimental setups, and at worst nigh impossible in In turbomachine applications and the small geometric space coupled the moving Have been extensively studied in the last few decades, but given the complex flowfields encountered Large performance losses by modifying the aerodynamic conditions surrounding theīlade as well as increases in the sound radiation of the fan. The static elements of a turbomachine system with the moving rotor. Tip leakage flow is a highly complex phenomena that is unavoidable in turbomachineryĪpplications due to the fact that a tip clearance is required to prevent the interference of The approach opens new avenues to advance our understanding about the early configuration organisation of dynamic networks in the human brain and offers a novel monitoring platform to investigate functional brain network development in sick preterm infants. The graph theoretical analysis of the spatial architectures of the networks revealed small-world topology and distinct rich-club organisations of interconnected cortical hubs that exhibit rich synchronous dynamics at multiple timescales. We show that the anatomically constrained richly organised spatial topologies, spectral contents and temporal fluctuations of resting-state networks reflect an established intrinsic dynamic functional connectome in the human brain at term age. The temporal dynamics of these networks not only are nested within much slower timescale (<0.1 Hz) but also correlated in a hierarchical leading-following organisation. These functional networks encompass the default mode, primary sensory-limbic system, thalamo-frontal, thalamo-sensorimotor and visual-limbic system confined in the delta and low-alpha frequency intervals (1-8 Hz). We report, in resting-state EEG source-estimates of 100 infants at term age, the existence of macro-scale dynamic functional connectivity, which have rich topological organisations, distinct spectral fingerprints and scale-invariance temporal dynamics. When the human brain manifests the birth of organised communication among local and large-scale neuronal populations activity remains undescribed. These findings may help clinicians to adopt a better prevention/follow-up strategy in such patients. Our data suggest that cerebellar stimulation by means of iTBS may support the differential diagnosis between MCI and dementia and potentially identify the individuals with MCI who may be at risk of MDC. Five among the MCI- patients converted to dementia at 6-month follow-up. None of the patients showed EEG aftereffects following a sham TBS protocol.
Contrariwise, none of the patients with dementia showed iTBS aftereffects. All patients with MCI, but eight (labelled as MCI-), showed preserved iTBS aftereffect. Indeed, the risk of MDC is related to the response to iTBS, being higher in non-responder individuals.
The aim of this study was to differentiate patients with an early diagnosis of dementia and MCI depending on the effects of a transcranial magnetic stimulation protocol (intermittent theta-burst stimulation -iTBS) delivered on the cerebellum able to modify cortico-cortical connectivity. About that, there is a growing interest on the role of cerebellum-cerebrum connectivity (CCC). Thus, objective tools are mandatory to get early diagnosis and prognosis. Differentiating Mild Cognitive Impairment (MCI) from dementia and estimating the risk of MCI-to-dementia conversion (MDC) are challenging tasks.
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