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Veronika I. Müller
University of Düsseldorf
58Publications
16H-index
655Citations
Publications 58
Newest
#1Alessandra D. Nostro (HHU: University of Düsseldorf)H-Index: 2
#2Veronika I. Müller (HHU: University of Düsseldorf)H-Index: 16
Last.Simon B. Eickhoff (HHU: University of Düsseldorf)H-Index: 86
view all 8 authors...
Personality is associated with variation in all kinds of mental faculties, including affective, social, executive, and memory functioning. The intrinsic dynamics of neural networks underlying these mental functions are reflected in their functional connectivity at rest (RSFC). We, therefore, aimed to probe whether connectivity in functional networks allows predicting individual scores of the five-factor personality model and potential gender differences thereof. We assessed nine meta-analyticall...
18 CitationsSource
#1Veronika I. Müller (HHU: University of Düsseldorf)H-Index: 16
#2Yvonne Höhner (HHU: University of Düsseldorf)H-Index: 1
Last.Simon B. Eickhoff (HHU: University of Düsseldorf)H-Index: 86
view all 3 authors...
Abstract Many neuroimaging studies have investigated the neural correlates of face processing. However, the location of face-preferential regions differs considerably between studies, possibly due to the use of different stimuli or tasks. By using Activation likelihood estimation meta-analyses, we aimed to a) delineate regions consistently involved in face processing and b) to assess the influence of stimuli and task on convergence of activation patterns. In total, we included 77 neuroimaging ex...
6 CitationsSource
#1Natalia Chechko (RWTH Aachen University)H-Index: 6
#2Edna C. Cieslik (HHU: University of Düsseldorf)H-Index: 16
Last.Simon B. Eickhoff (HHU: University of Düsseldorf)H-Index: 86
view all 11 authors...
In schizophrenia (SCZ), dysfunction of the dorsolateral prefrontal cortex (DLPFC) has been linked to the deficits in executive functions and attention. It has been suggested that, instead of considering the right DLPFC as a cohesive functional entity, it can be divided into two parts (anterior and posterior) based on its whole-brain connectivity patterns. Given these two subregions' differential association with cognitive processes, we investigated the functional connectivity (FC) profile of bot...
Source
#1Julia Camilleri (HHU: University of Düsseldorf)H-Index: 4
#2Veronika I. Müller (HHU: University of Düsseldorf)H-Index: 16
Last.Simon B. Eickhoff (HHU: University of Düsseldorf)H-Index: 86
view all 7 authors...
Abstract Neuroimaging evidence suggests that executive functions (EF) depend on brain regions that are not closely tied to specific cognitive demands but rather to a wide range of behaviors. A multiple-demand (MD) system has been proposed, consisting of regions showing conjoint activation across multiple demands. Additionally, a number of studies defining networks specific to certain cognitive tasks suggest that the MD system may be composed of a number of sub-networks each subserving specific r...
9 CitationsSource
#1Veronika I. Müller (HHU: University of Düsseldorf)H-Index: 16
#2Edna C. Cieslik (HHU: University of Düsseldorf)H-Index: 16
Last.Simon B. Eickhoff (HHU: University of Düsseldorf)H-Index: 86
view all 12 authors...
Neuroimaging has evolved into a widely used method to investigate the functional neuroanatomy, brain-behaviour relationships, and pathophysiology of brain disorders, yielding a literature of more than 30,000 papers. With such an explosion of data, it is increasingly difficult to sift through the literature and distinguish spurious from replicable findings. Furthermore, due to the large number of studies, it is challenging to keep track of the wealth of findings. A variety of meta-analytical meth...
53 CitationsSource
#1Rachel PläschkeH-Index: 2
#2Edna C. CieslikH-Index: 16
Last.Simon B. EickhoffH-Index: 86
view all 22 authors...
Previous whole-brain functional connectivity studies achieved successful classifications of patients and healthy controls but only offered limited specificity as to affected brain systems. Here, we examined whether the connectivity patterns of functional systems affected in schizophrenia (SCZ), Parkinson's disease (PD), or normal aging equally translate into high classification accuracies for these conditions. We compared classification performance between pre-defined networks for each group and...
6 CitationsSource
#1Tobias Wensing (RWTH Aachen University)H-Index: 2
#2Edna C. Cieslik (HHU: University of Düsseldorf)H-Index: 16
Last.Thomas Nickl-Jockschat (RWTH Aachen University)H-Index: 16
view all 6 authors...
9 CitationsSource
#1Katja Weibert (HHU: University of Düsseldorf)
#2Veronika I. Müller (HHU: University of Düsseldorf)H-Index: 16
Last.Jessica Sänger (HHU: University of Düsseldorf)H-Index: 6
view all 3 authors...
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#1Kay WeibertH-Index: 1
#2Veronika I. MüllerH-Index: 16
Last.Jessica SängerH-Index: 6
view all 3 authors...
Source
#1Rachel Pläschke (HHU: University of Düsseldorf)H-Index: 2
#2Edna C. Cieslik (HHU: University of Düsseldorf)H-Index: 16
Last.Simon B. Eickhoff (HHU: University of Düsseldorf)H-Index: 86
view all 20 authors...
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