@article{ErlbeckKueblerKotchoubeyetal.2014,
  author    = {Erlbeck, Helena and K{\"u}bler, Andrea and Kotchoubey, Boris and Veser, Sandra},
  title     = {Task instructions modulate the attentional mode affecting the auditory MMN and the semantic N400},
  series = {Frontiers in Human Neuroscience},
  volume    = {8},
  journal   = {Frontiers in Human Neuroscience},
  number    = {654},
  doi       = {10.3389/fnhum.2014.00654},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-115553},
  year      = {2014},
  abstract  = {Event-related potentials (ERPs) have been proven to be a useful tool to complement clinical assessment and to detect residual cognitive functions in patients with disorders of consciousness. These ERPs are of ten recorded using passive or unspecific instructions. Patient data obtained this way are then compared to data from healthy participants, which are usually recorded using active instructions. The present study investigates the effect of attentive modulations and particularly the effect of activevs. passive instruction on the ERP components mismatch negativity (MMN) and N400. A sample of 18 healthy participants listened to three auditory paradigms: anoddball, aword priming, and a sentence paradigm. Each paradigm was presented three times with different instructions: ignoring auditory stimuli, passive listening, and focused attention on the auditory stimuli. After each task, the participants indicated their subjective effort. The N400 decreased from the focused task to the passive task, and was extinct in the ignore task. The MMN exhibited higher amplitudes in the focused and passive task compared to the ignore task. The data indicate an effect of attention on the supratemporal component of the MMN. Subjective effort was equally high in the passive and focused tasks but reduced in the ignore task. We conclude that passive listening during EEG recording is stressful and attenuates ERPs, which renders the interpretation of the results obtained in such conditions difficult.},
  language  = {en}
}
@article{RealKotchoubeyKuebler2014,
  author    = {Real, Ruben G. L. and Kotchoubey, Boris and K{\"u}bler, Andrea},
  title     = {Studentized continuous wavelet transform (t-CWT) in the analysis of individual ERPs: real and simulated EEG data},
  doi       = {10.3389/fnins.2014.00279},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-113581},
  year      = {2014},
  abstract  = {This study aimed at evaluating the performance of the Studentized Continuous Wavelet Transform (t-CWT) as a method for the extraction and assessment of event-related brain potentials (ERP) in data from a single subject. Sensitivity, specificity, positive (PPV) and negative predictive values (NPV) of the t-CWT were assessed and compared to a variety of competing procedures using simulated EEG data at six low signal-to-noise ratios. Results show that the t-CWT combines high sensitivity and specificity with favorable PPV and NPV. Applying the t-CWT to authentic EEG data obtained from 14 healthy participants confirmed its high sensitivity. The t-CWT may thus be well suited for the assessment of weak ERPs in single-subject settings.},
  language  = {en}
}
@article{BlechertMeuleBuschetal.2014,
  author    = {Blechert, Jens and Meule, Adrian and Busch, Niko A. and Ohla, Kathrin},
  title     = {Food-pics: an image database for experimental research on eating and appetite},
  series = {Frontiers in Psychology},
  volume    = {5},
  journal   = {Frontiers in Psychology},
  issn      = {1664-1078},
  doi       = {10.3389/fpsyg.2014.00617},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-115987},
  pages     = {617},
  year      = {2014},
  abstract  = {Our current environment is characterized by the omnipresence of food cues. The sight and smell of real foods, but also graphically depictions of appetizing foods, can guide our eating behavior, for example, by eliciting food craving and influencing food choice. The relevance of visual food cues on human information processing has been demonstrated by a growing body of studies employing food images across the disciplines of psychology, medicine, and neuroscience. However, currently used food image sets vary considerably across laboratories and image characteristics (contrast, brightness, etc.) and food composition (calories, macronutrients, etc.) are often unspecified. These factors might have contributed to some of the inconsistencies of this research. To remedy this, we developed food-pics, a picture database comprising 568 food images and 315 non-food images along with detailed meta-data. A total of N = 1988 individuals with large variance in age and weight from German speaking countries and North America provided normative ratings of valence, arousal, palatability, desire to eat, recognizability and visual complexity. Furthermore, data on macronutrients (g), energy density (kcal), and physical image characteristics (color composition, contrast, brightness, size, complexity) are provided. The food-pics image database is freely available under the creative commons license with the hope that the set will facilitate standardization and comparability across studies and advance experimental research on the determinants of eating behavior. Read F},
  language  = {en}
}