Ann-Christine Ehlis

TL;DR: Different neural generators were found for the ERN/Ne and the Pe, which further supports the notion that both error-related components represent different aspects of error processing.

TL;DR: The reliability assessed by single measurement ICCs improved if regarded at a cluster level and showed good reliability in terms of the single measure ICCs and excellent reproducibility quantified by RQUANTITY and ROVERLAP.

TL;DR: It is concluded that a model-based GLM approach delivers valid fNirS amplitude estimations and enables the analysis of rapid event-related fNIRS data series, which is highly relevant in particular for cognitive fN IRS studies.

TL;DR: It is concluded that fNIRS is a valid addition to the range of neuroscientific methods available to assess neural mechanisms underlying neuropsychiatric disorders and might be a useful tool in practical psychiatric settings involving both diagnostics and the complementary treatment of psychological disorders using, for example, neurofeedback applications.

TL;DR: These findings suggest to consider individual SCD and frontal sinus volume as anatomical factors impacting fNIRS sensitivity and head circumference may represent a practical measure to partly control for these sources of error variance.