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Christian Sorg

Researcher at Technische Universität München

Publications -  212
Citations -  11303

Christian Sorg is an academic researcher from Technische Universität München. The author has contributed to research in topics: Resting state fMRI & Default mode network. The author has an hindex of 44, co-authored 191 publications receiving 9398 citations. Previous affiliations of Christian Sorg include Ludwig Maximilian University of Munich.

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Toward discovery science of human brain function

Bharat B. Biswal, +54 more
TL;DR: The 1000 Functional Connectomes Project (Fcon_1000) as discussed by the authors is a large-scale collection of functional connectome data from 1,414 volunteers collected independently at 35 international centers.
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Selective changes of resting-state networks in individuals at risk for Alzheimer's disease

TL;DR: This work analyzes functional and structural MRI data from healthy elderly and patients with amnestic mild cognitive impairment and concludes that in individuals at risk for AD, a specific subset of RSNs is altered, likely representing effects of ongoing early neurodegeneration.
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Insular dysfunction within the salience network is associated with severity of symptoms and aberrant inter-network connectivity in major depressive disorder

TL;DR: Results provide evidence for a relationship between aberrant intra-iFC in the salience network's rAI, aberrant DMN/CEN interactions and severity of symptoms, suggesting a link between Aberrant salience mapping, abnormal coordination of DMN /CEN based cognitive processes and psychopathology in MDD.
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Aberrant dependence of default mode/central executive network interactions on anterior insular salience network activity in schizophrenia.

TL;DR: High-model-order independent component analysis of fMRI data revealed spatiotemporal patterns of synchronized ongoing blood-oxygenation-level-dependent (BOLD) activity including SN, DMN, and CEN including decreased activity in the right anterior insula.
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Brain Rhythms of Pain

TL;DR: Recent concepts relate oscillations at different frequencies to the routing of information flow in the brain and the signaling of predictions and prediction errors to pain, and promise insights into how flexible routing of Information flow coordinates diverse processes that merge into the experience of pain.