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Effortless learning during sleep is everybody's dream. Several studies found that presenting odor cues during learning and selectively during slow wave sleep increases learning success. The current study extends previous research in three aspects to test for optimization and practical applicability of this cueing effect: We (1) performed a field study of vocabulary-learning in a regular school setting, (2) stimulated with odor cues during the whole night without sleep monitoring, and (3) applied the odor additionally as retrieval cue in a subsequent test. We found an odor cueing effect with comparable effect sizes (d between 0.6 and 1.2) as studies with sleep monitoring and selective cueing. Further, we observed some (non-significant) indication for a further performance benefit with additional cueing during the recall test. Our results replicate previous findings and provide important extensions: First, the odor effect also works outside the lab. Second, continuous cueing at night produces similar effect sizes as a study with selective cueing in specific sleep stages. Whether odor cueing during memory recall further increases memory performance hast to be shown in future studies. Overall, our results extend the knowledge on odor cueing effects and provide a realistic practical perspective on it.

Temporally distributed ("spaced") learning can be twice as efficient as massed learning. This "spacing effect" occurs with a broad spectrum of learning materials, with humans of different ages, with non-human vertebrates and also invertebrates. This indicates, that very basic learning mechanisms are at work ("generality"). Although most studies so far focused on very narrow spacing interval ranges, there is some evidence for a non-monotonic behavior of this "spacing effect" ("nonlinearity") with optimal spacing intervals at different time scales. In the current study we focused both the nonlinearity aspect by using a broad range of spacing intervals and the generality aspect by using very different learning/practice domains: Participants learned German-Japanese word pairs and performed visual acuity tests. For each of six groups we used a different spacing interval between learning/practice units from 7 min to 24 h in logarithmic steps. Memory retention was studied in three consecutive final tests, one, seven and 28 days after the final learning unit. For both the vocabulary learning and visual acuity performance we found a highly significant effect of the factor spacing interval on the final test performance. In the 12 h-spacing-group about 85% of the learned words stayed in memory and nearly all of the visual acuity gain was preserved. In the 24 h-spacing-group, in contrast, only about 33% of the learned words were retained and the visual acuity gain dropped to zero. The very similar patterns of results from the two very different learning/practice domains point to similar underlying mechanisms. Further, our results indicate spacing in the range of 12 hours as optimal. A second peak may be around a spacing interval of 20 min but here the data are less clear. We discuss relations between our results and basic learning at the neuronal level.

Many studies investigating music processing in adult musicians and nonmusicians point towards pronounced behavioral and neurophysiological differences between the two groups. Recent studies indicate that these differences can already be found in early childhood. Further, electro-encephalography studies using musical discrimination tasks have demonstrated that differences in music processing become more pronounced when explicitly rather than implicitly trained musical abilities are required. Exploring the functional neuroanatomy underlying the processing of different expectation violations in children and its association with musical training, we investigated neural responses to different melodic deviances in musically trained and untrained children. Using functional magnetic resonance imaging, children (aged 11-14 years) were examined while comparing pairs of short melodies that were either identical or differed with respect to four notes. The implemented deviances were either subtle (by inserting plausible in-key notes) or obvious (by inserting implausible out-of-key notes). Our results indicate a strong association between musical training and functional neuroanatomy of the brain. Similar to research on music processing in adults, the processing of obvious melodic deviances activated a network involving inferior frontal, premotor and anterior insula regions in musically trained and untrained children. By contrast, subtle deviances led to activation in the inferior frontal and premotor cortex, the anterior insula, the superior temporal gyrus, and the supramarginal gyrus in musically trained children only. Our work provides further insights into the functional neuroanatomy of melody processing and its association with musical training in children, providing the basis for further studies specifying distinct musical processes (e.g. contour and interval processing).

Theories of specific phobias consider classical conditioning as a central mechanism in the pathogenesis and maintenance of the disorder. Although the neuronal network underlying human fear conditioning is understood in considerable detail, no study to date has examined the neuronal correlates of fear conditioning directly in patients with specific phobias. Using functional magnet resonance imaging (fMRI) we investigated conditioned responses using phobia-relevant and non-phobia-relevant unconditioned stimuli in patients with specific phobias (n=15) and healthy controls (n=14) by means of a differential picture-picture conditioning paradigm: three neutral geometric figures (conditioned stimuli) were followed by either pictures of spiders, highly aversive scenes or household items (unconditioned stimuli), respectively. Enhanced activations within the fear network (medial prefrontal cortex, anterior cingulate cortex, amygdala, insula and thalamus) were observed in response to the phobia-related conditioned stimulus. Further, spider phobic subjects displayed higher amygdala activation in response to the phobia-related conditioned stimulus than to the non-phobia-related conditioned stimulus. Moreover, no differences between patients and healthy controls emerged regarding the non-phobia-related conditioned stimulus. The results imply that learned phobic fear is based on exaggerated responses in structures belonging to the fear network and emphasize the importance of the amygdala in the processing of phobic fear. Further, altered responding of the fear network in patients was only observed in response to the phobia-related conditioned stimulus but not to the non-phobia-related conditioned stimulus indicating no differences in general conditionability between patients with specific phobias and healthy controls.

A lively discussion concerning the causal relation between auditory temporal processing and phoneme identification has evolved over the last decades. Subjects with language impairments not only show deficits in the identification of stop-consonant vowel syllables, but also have problems detecting the temporal order of acoustic stimuli. Recently published studies claim that an improvement in phoneme discrimination can be achieved through the training of temporal-processing abilities. Critical assessment of these studies often reveals the following weaknesses: first, the diagnostic and training methods vary between studies, which makes comparisons difficult. Second, usually only mean differences between groups or before/after treatment are presented. The success in diagnosis and training of individuals or subgroups is not documented. Third, only few diagnostic measures employed have been tested for reliability. Furthermore, the tests have not been designed according to modern psychometric methods. Fourth, several training modules are used in parallel. The effects of temporal-processing training cannot be isolated. Possible approaches for detecting the possible causal relation between the time and the language domain are discussed.