Threads – NeuroInformatik@

The resting human brain is never truly at rest. Beneath the surface of seemingly random neural activity lies a complex choreography of dynamic network interactions. Recent advances in analyzing functional magnetic resonance imaging (fMRI) data reveal that two mathematical frameworks—hidden Markov models (HMMs) and complexity metrics like time irreversibility—are transforming our ability to decode these…

Protected: [*] Normalized affinity dimensionality reduction as a non-linear sparse solution to manifold mapping

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roijo

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Imaging the effects of mild TBI

Nov 24, 2022

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roijo

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Traumatic brain injury (TBI) remains one of the most heterogeneous conditions in neurology. CT and conventional MRI are indispensable for detecting hemorrhage, contusion, and mass effect in moderate–severe TBI, and intracranial pressure (ICP) monitoring with cerebral perfusion pressure targets still underpins acute guideline‑based management. Yet many patients, particularly with mild TBI (mTBI), have persistent cognitive,…

Social Networks in times of economic meltdown

Nov 17, 2022

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roijo

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From homogeneous mixing to data‑driven networks / COVID‑19 made it clear that epidemics—and their economic fallout—are not just about “how infectious” a pathogen is, but who meets whom, where, and when. Classical SIR models assume homogeneous mixing: each individual has equal probability to meet any other. In reality, contact and mobility are structured in networks: households,…