Ulrich Ettinger

University of Bonn
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Articles (18)

Year:

2025

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2025

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2025

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2025

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2025

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2024

Year:

2024

Animals need to cope with abundant sensory information, and one strategy is to selectively direct attention to only the most relevant part of the environment. Although the cortical networks of selective attention have been studied extensively, its underlying neurotransmitter systems, especially the role of the inhibitory neurotransmitter gamma-aminobutyric acid (GABA), remain less well understood. Increased GABAA receptor activity because of administration of benzodiazepines such as lorazepam is known to slow reactions in cognitive tasks. However, there is limited knowledge about GABAergic involvement in selective attention. Particularly, it is unknown whether increased GABAA receptor activity slows the build-up of selectivity or generally widens attentional focus. To address this question, participants (n = 29) received 1 mg lorazepam and placebo (within-subjects, double-blind) and performed an extended version of the flanker task. The spatial distribution of selective attention was studied by systematically manipulating number and position of incongruent flankers; the temporal build-up was characterized using delta plots. An online task version was presented to an independent, unmedicated sample (n = 25) to verify task effects. Under placebo and in the unmedicated sample, only the number of incongruent flankers, but not their position, influenced RTs. Incongruent flankers impaired RTs more strongly under lorazepam than placebo, especially when adjacent to the target. Delta plot analyses of RT showed that this effect persisted even when participants reacted slowly, indicating that lorazepam-induced impairments in selective attention do not result from simply slowed down build-up of selectivity. Instead, our data indicate that increased GABAA receptor activity widens the attentional focus.

Year:

2023

The link between brain structural connectivity and schizotypy was explored in two healthy participant cohorts, collected at two different neuroimaging centres, comprising 140 and 115 participants, respectively. The participants completed the Schizotypal Personality Questionnaire (SPQ), through which their schizotypy scores were calculated. Diffusion-MRI data were used to perform tractography and to generate the structural brain networks of the participants. The edges of the networks were weighted with the inverse radial diffusivity. Graph theoretical metrics of the default mode, sensorimotor, visual, and auditory subnetworks were derived and their correlation coefficients with the schizotypy scores were calculated. To the best of our knowledge, this is the first time that graph theoretical measures of structural brain networks are investigated in relation to schizotypy. A positive correlation was found between the schizotypy score and the mean node degree and mean clustering coefficient of the sensorimotor and the default mode subnetworks. The nodes driving these correlations were the right postcentral gyrus, the left paracentral lobule, the right superior frontal gyrus, the left parahippocampal gyrus, and the bilateral precuneus, that is, nodes that exhibit compromised functional connectivity in schizophrenia. Implications for schizophrenia and schizotypy are discussed.

Year:

2023

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2023

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2023

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2023

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2023

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2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (10)

Wolf M. Harmening

University of Bonn

GERMANY
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Benjamin Selaskowski

University Hospital Bonn

GERMANY
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Monique M.B. Breteler

faculty of medicine university of bonn bonn germany

GERMANY
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Gustavo A. Reyes del Paso

Catedrático, Full Professor

Universidad de Jaén

SPAIN
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Derek K. Jones

-

UNITED KINGDOM
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Carsten Murawski

University of Melbourne

AUSTRALIA
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Ray Norbury

Senior Lecturer

Brunel University London

UNITED KINGDOM
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Niclas Braun

University Hospital Bonn

GERMANY
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Mirko Lehmann

University of Bonn

GERMANY
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Veena Kumari

Professor of Experimental Psychology

King’s College London

UNITED KINGDOM
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