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Christine Esslinger

Researcher at Heidelberg University

Publications -  41
Citations -  5078

Christine Esslinger is an academic researcher from Heidelberg University. The author has contributed to research in topics: Schizophrenia & Functional magnetic resonance imaging. The author has an hindex of 30, co-authored 41 publications receiving 4674 citations. Previous affiliations of Christine Esslinger include University of Giessen & Otto-von-Guericke University Magdeburg.

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Oxytocin Modulates Neural Circuitry for Social Cognition and Fear in Humans

TL;DR: It is shown that human amygdala function is strongly modulated by oxytocin, and this results indicate a neural mechanism for the effects of Oxytocin in social cognition in the human brain and provide a methodology and rationale for exploring therapeutic strategies in disorders in which abnormal amygdala function has been implicated, such as social phobia or autism.
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Test–retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures

TL;DR: This study provides methodological recommendations which allow the computation of sufficiently robust markers of network organization using graph metrics derived from fMRI data at rest using several commonly used measures from the field of graph theory.
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Neural mechanisms of a genome-wide supported psychosis variant.

TL;DR: These findings establish disturbed connectivity as a neurogenetic risk mechanism for psychosis supported by genome-wide association, show that rs1344706 or variation in linkage disequilibrium is functional in human brain, and validate the intermediate phenotype strategy in psychiatry.
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Test–retest reliability of fMRI-based graph theoretical properties during working memory, emotion processing, and resting state

TL;DR: The test-retest reliability of brain graphs calculated from 26 healthy participants with three established fMRI experiments and two parcellation schemes for node definition are studied to inform the choice of processing strategies, brain atlases and outcome properties for fMRI studies using active tasks, graph theory methods and within-subject designs.