Publications by authors named "B Kullmann"

Background: Facial emotion recognition (FER) may be impaired in patients with multiple sclerosis (MS). Nevertheless, the literature is heterogeneous, with studies not highlighting this kind of impairment. Moreover, most studies have not explored differences between MS spectrum disorders (radiologically isolated syndrome (RIS), clinically-isolated syndrome (CIS), relapsing-remitting (RRMS), and progressive (primary - (PPMS) and secondary - (SPMS)).

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This report describe the first application of environmental DNA-metabarcoding approach for the assessment of fish species diversity in two marine protected areas of the North Sea: the Doggerbank and the Sylt Outer Reef. We collected 64 water samples and detected 24 fish species. We discuss qualitative differences between MPAs and compare the results with those obtained from bottom-trawl surveys in the same areas.

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Background: Facial emotion recognition (FER) is primarily and severely impaired in individuals with the behavioral variant of frontotemporal dementia (bvFTD) and is often mildy impaired in individuals with Alzheimer disease (AD) or Parkinson disease (PD). Such impairment is associated with inappropriate social behaviors.

Objective: To determine whether FER impairment is linked to the use of inappropriate eye-gaze strategies to decode facial emotions, leading to misinterpretation of others' intentions and then to behavioral disorders.

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Objective: Theory of mind (ToM) and empathy are severely impaired in the behavioral-variant of frontotemporal dementia (bvFTD) and more mildly in Alzheimer's (AD) and Parkinson's diseases (PD). Such impairments are associated with behavioral disorders (BD). Modification of visual scanning strategies of complex visual scenes is also found in these pathologies.

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The Elbe is one of the longest European rivers and features a large, turbid and well-mixed estuary, which runs through the inner city of Hamburg. The Elbe has been closely monitored using classical catch techniques in the past. Here we tested a COI-based eDNA approach for assessing the biodiversity within the Elbe.

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