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Metacognition plays a pivotal role in human development. The ability to realize that we do not know something, or meta-ignorance, emerges after approximately five years of age. We aimed at identifying the brain systems that underlie the developmental emergence of this ability in a preschool sample.
Twenty-four children aged between five and six years answered questions under three conditions of a meta-ignorance task twice. In the critical partial knowledge condition, an experimenter first showed two toys to a child, then announced that she would place one of them in a box behind a screen, out of sight from the child. The experimenter then asked the child whether or not she knew which toy was in the box.
Children who answered correctly both times to the metacognitive question in the partial knowledge condition (n=9) showed greater cortical thickness in a cluster within left medial orbitofrontal cortex than children who did not (n=15). Further, seed-based functional connectivity analyses of the brain during resting state revealed that this region is functionally connected to the medial orbitofrontal gyrus, posterior cingulate gyrus and precuneus, and mid- and inferior temporal gyri.
This finding suggests that the default mode network, critically through its prefrontal regions, supports introspective processing. It leads to the emergence of metacognitive monitoring allowing children to explicitly report their own ignorance.
Precise slow oscillation-spindle coupling promotes memory consolidation in younger and older adults
(2018)
Memory consolidation during sleep relies on the precisely timed interaction of rhythmic neural events. Here, we investigate differences in slow oscillations (SO) and sleep spindles (SP) and their coupling across the adult human lifespan and ask whether observed alterations relate to the ability to retain associative memories across sleep. We demonstrate that the fine-tuned SO–SP coupling that is present in younger adults diffuses with advanced age and shifts both in time and frequency. Crucially, we show that the tight precision of SO–SP coupling promotes memory consolidation in younger and older adults, and that brain integrity in source regions for the generation of SOs and SPs reinforces this beneficial SO–SP coupling in old age. Our results reveal age-related differences in SO–SP coupling in healthy elderly individuals. Furthermore, they broaden our understanding of the conditions and the functional significance of SO–SP coupling across the entire adult lifespan.
The outstanding speed of language comprehension necessitates a highly efficient implementation of cognitive-linguistic processes. The domain-general theory of Predictive Coding suggests that our brain solves this problem by continuously forming linguistic predictions about expected upcoming input. The neurophysiological implementation of these predictive linguistic processes, however, is not yet understood. Here, we use EEG (human participants, both sexes) to investigate the existence and nature of online-generated, category-level semantic representations during sentence processing. We conducted two experiments in which some nouns – embedded in a predictive spoken sentence context – were unexpectedly delayed by 1 second. Target nouns were either abstract/concrete (Experiment 1) or animate/inanimate (Experiment 2). We hypothesized that if neural prediction error signals following (temporary) omissions carry specific information about the stimulus, the semantic category of the upcoming target word is encoded in brain activity prior to its presentation. Using time-generalized multivariate pattern analysis, we demonstrate significant decoding of word category from silent periods directly preceding the target word, in both experiments. This provides direct evidence for predictive coding during sentence processing, i.e., that information about a word can be encoded in brain activity before it is perceived. While the same semantic contrast could also be decoded from EEG activity elicited by isolated words (Experiment 1), the identified neural patterns did not generalize to pre-stimulus delay period activity in sentences. Our results not only indicate that the brain processes language predictively, but also demonstrate the nature and sentence-specificity of category-level semantic predictions preactivated during sentence comprehension.
The article reports three simulation studies conducted to find out whether the effect of a time limit for testing impairs model fit in investigations of structural validity, whether the representation of the assumed source of the effect prevents impairment of model fit and whether it is possible to identify and discriminate this method effect from another method effect. Omissions due to the time limit for testing were not considered as missing data but as information on the participants’ processing speed. In simulated data the presence of a time-limit effect impaired comparative fit index and nonnormed fit index whereas normed chi-square, root mean square error of approximation, and standardized root mean square residual indicated good model fit. The explicit consideration of the effect due to the time limit by an additional component of the model improved model fit. Effect-specific assumptions included in the model of measurement enabled the discrimination of the effect due to the time limit from another possible method effect.
Background: The year 2016 has marked the highest number of displaced people worldwide on record. A large number of these refugees are women, yet little is known about their specific situation and the hurdles they have to face during their journey. Herein, we investigated whether sociodemographic characteristics and traumatic experiences in the home country and during the flight affected the quality of life of refugee women arriving in Germany in 2015–2016.
Methods: Six hundred sixty-three women from six countries (Afghanistan, Syria, Iran, Iraq, Somalia, and Eritrea) living in shared reception facilities in five distinct German regions were interviewed by native speakers using a structured questionnaire. Sociodemographic data and information about reasons for fleeing, traumatic experiences, symptoms, quality of life, and expectations towards their future were elicited. All information was stored in a central database in Berlin. Descriptive analyses, correlations, and multivariate analyses were performed.
Results: The most frequent reasons cited for fleeing were war, terror, and threat to one’s life or the life of a family member. Eighty-seven percent of women resorted to smugglers to make the journey to Europe, and this significantly correlated to residence in a war zone (odds ratio (OR) = 2.5, 95% confidence interval (CI) = 1.4–4.6, p = 0.003) and homelessness prior to fleeing (OR = 2.1, 95% CI = 1–4.3, p = 0.04). Overall the described quality of life by the women was moderate (overall mean = 3.23, range of 1–5) and slightly worse than that of European populations (overall mean = 3.68, p < 0.0001). The main reasons correlating with lower quality of life were older age, having had a near-death experience, having been attacked by a family member, and absence of health care in case of illness.
Conclusions: Refugee women experience multiple traumatic experiences before and/or during their journey, some of which are gender-specific. These experiences affect the quality of life in their current country of residence and might impact their integration. We encourage the early investigation of these traumatic experiences to rapidly identify women at higher risk and to improve health care for somatic and mental illness.
Professionalization of service-learning in higher education – an academic development approach
(2018)
In an attempt to professionalize service-learning in higher education, teachers and their teaching skills are considered a determining factor and require particular attention. To promote the teaching skills necessary for service-learning courses, an academic development approach addressing these specific requirements has been implemented at Goethe University Frankfurt as part of the academic development program for teaching staff. This article presents the particularities of this approach and illustrates one of its central elements, i.e., the concept of a workshop on planning service-learning courses. Both practical and research implications are discussed.
Cognitive modeling studies in adults have established that visual working memory (WM) capacity depends on the representational precision, as well as its variability from moment to moment. By contrast, visuospatial WM performance in children has been typically indexed by response accuracy—a binary measure that provides less information about precision with which items are stored. Here, we aimed at identifying whether and how children’s WM performance depends on the spatial precision and its variability over time in real-world contexts. Using smartphones, 110 Grade 3 and Grade 4 students performed a spatial WM updating task three times a day in school and at home for four weeks. Measures of spatial precision (i.e., Euclidean distance between presented and reported location) were used for hierarchical modeling to estimate variability of spatial precision across different time scales. Results demonstrated considerable within-person variability in spatial precision across items within trials, from trial to trial and from occasion to occasion within days and from day to day. In particular, item-to-item variability was systematically increased with memory load and lowered with higher grade. Further, children with higher precision variability across items scored lower in measures of fluid intelligence. These findings emphasize the important role of transient changes in spatial precision for the development of WM.
How does social class affect people’s goals in social interactions? A rank-based perspective suggests actors from higher social classes (compared to lower social classes) have more agentic and less communal goals when interacting with same class or unspecified others. Focusing on targets’ social class, an identity-based perspective suggests the reverse: Actors should more strongly endorse communal (agentic) goals toward illegitimately lower class (higher class) compared to illegitimately higher class (lower class) targets, regardless of actors’ own social class. Three preregistered experiments (N = 2,023) manipulated actor’s social class and the nature of the target (illegitimately higher/lower class, same class, unspecified) and measured participants’ goals in imagined interactions using the Circumplex Scales of Intergroup Goals. The identity-based perspective received strong support: Across studies, actors expressed stronger agentic (communal) goals toward higher class (lower class) targets. The rank-based perspective received limited support, with relatively low-class (vs. relatively high-class) actors expressing stronger communal goals toward same-class targets.
White matter microstructural changes and episodic memory disturbances in late-onset bipolar disorder
(2018)
Background: Bipolar disorder (BD) has been associated with distributed network disruption, but little is known on how different clinical subtypes, particularly those with an earlier and later onset of disease, are related to connectivity changes in white matter (WM) tracts.
Methods: Diffusion tensor imaging (DTI) and volumetric measures were carried out in early-onset bipolar patients [(EOD) (n = 16)], late-onset bipolar disorder [(LOD)(n = 14)] and healthy controls (n = 32). We also computed ROI analysis of gray matter (GM) and white matter (WM) volumes using the regions with significant group differences in the DTI parameters. Cognitive and behavior measurements were analyzed between groups.
Results: Lower fraction of anisotropy (FA) in the right hemisphere comprising anterior thalamic radiation, fornix, posterior cingulate, internal capsule, splenium of corpus callosum was observed in the LOD in comparison with EOD; additionally, lower FA was also found in the LOD in comparison with healthy controls, mostly in the right hemisphere and comprising fibers of the splenium of the corpus callosum, cingulum, superior frontal gyrus and posterior thalamic radiation; LOD also showed worse episodic memory performance than EOD; no statistical significant differences between mood symptoms, WM and GM volumes were found between BD groups.
Conclusion: Even after correcting for age differences, LOD was associated with more extensive WM microstructural changes and worse episodic memory performance than EOD; these findings suggest that changes in the WM fiber integrity may be associated with a later presentation of BD, possibly due to mechanisms other than neuroprogression. However, these findings deserve replication in larger, prospective, studies.
Object recognition is such an everyday task it seems almost mundane. We look at the spaces around us and name things seemingly effortlessly. Yet understanding how the process of object recognition unfolds is a great challenge to vision science. Models derived from abstract stimuli have little predictive power for the way people explore "naturalistic" scenes and the objects in them. Naturalistic here refers to unaltered photographs of real scenes. This thesis therefore focusses on the process of recognition of the objects in such naturalistic scenes. People can, for instance, find objects in scenes much more efficiently than models derived from abstract stimuli would predict. To explain this kind of behavior, we describe scenes not solely in terms of physical characteristics (colors, contrasts, lines, orientations, etc.) but by the meaning of the whole scene (kitchen, street, bathroom, etc.) and of the objects within the scene (oven, fire hydrant, soap, etc.). Object recognition now refers to the process of the visual system assigning meaning to the object.
The relationship between objects in a naturalistic scene is far from random. Objects do not typically float in mid-air and cannot take up the same physical space. Moreover, certain scenes typically contain certain objects. A fire hydrant in the kitchen would seem like an anomaly to the average observer. These "rules" can be described as the "grammar" of the scene. Scene grammar is involved in multiple aspects of scene- and object perception. There is, for instance, evidence that overall scene category influences identification of individual objects. Typically, experiments that directly target object recognition do not involve eye movements and studies that involve eye movements are not directly aimed at object recognition, but at gaze allocation. But eye movements are abundant in everyday life, they happen roughly 4 times per second. Here we therefore present two studies that use eye movements to investigate when object recognition takes place while people move their eyes from object to object in a scene. The third study is aimed at the application of novel methods for analyzing data from combined eye movement and neurophysiology (EEG) measurements.
One way to study object perception is to violate the grammar of a scene by placing an object in a scene it does not typically occur in and measuring how long people look at the so-called semantic inconsistency, compared to an object that one would expect in the given scene. Typically, people look at semantic inconsistencies longer and more often, signaling that it requires extra processing. In Study 1 we make use of this behavior to ask whether object recognition still happens when it is not necessary for the task. We designed a search task that made it unnecessary to register object identities. Still, participants looked at the inconsistent objects longer than consistent objects, signaling they did indeed process object and scene identities. Interestingly, the inconsistent objects were not remembered better than the consistent ones. We conclude that object and scene identities (their semantics) are processed in an obligatory fashion; when people are involved in a task that does not require it. In Study 2, we investigate more closely when the first signs of object semantic processing are visible while people make eye movements.
Although the finding that semantic inconsistencies are looked at longer and more often has been replicated often, many of these replications look at gaze duration over a whole trial. The question when during a trial differences between consistencies occur, has yielded mixed results. Some studies only report effects of semantic consistency that accumulate over whole trials, whereas others report influences already on the duration of the very first fixations on inconsistent objects. In study 2 we argue that prior studies reporting first fixation duration may have suffered from methodological shortcomings, such as low trial- and sample sizes, in addition to the use of non-robust statistics and data descriptions. We show that a subset of fixations may be influenced more than others (as is indicated by more skewed fixation duration distributions). Further analyses show that the relationship between the effect of object semantics on fixation durations and its effect on oft replicated cumulative measures is not straightforward (fixation duration distributions do not predict dwell effects) but the effect on both measures may be related in a different way. Possibly, the processing of object meaning unfolds over multiple fixations, only when one fixation does not suffice. However, it would be very valuable to be able to study how processing continues, after a fixation ends.
Study 3 aims to make such a measure possible by combining EEG recordings with eye tracking measurements. Difficulties in analyzing eye tracking–EEG data exist because neural responses vary with different eye movements characteristics. Moreover, fixations follow one another in short succession, causing neural responses to each fixation to overlap in time. These issues make the well-established approach of averaging single trial EEG data into ERPs problematic. As an alternative, we propose the use of multiple regression, explicitly modelling both temporal overlap and eye movement parameters. In Study 3 we show that such a method successfully estimates the influence of covariates it is meant to control for. Moreover, we discuss and explore what additional covariates may be modeled and in what way, in order to obtain confound-free estimates of EEG differences between conditions. One important finding is that stimulus properties of physically variable stimuli such as complex scenes, can influence EEG signals and deserve close consideration during experimental design or modelling efforts. Overall, the method compares favorably to averaging methods.
From the studies in this thesis, we directly learn that object recognition is a process that happens in an obligatory fashion, when the task does not require it. We also learn that only a subset of first fixations to objects are affected by the processing of object meaning and its fit to its surroundings. Comparison between first fixation and first dwell effects suggest that, in active vision, object semantics processing sometimes unfolds over multiple fixations. And finally, we learn that regression-based methods for combined eye tracking-EEG analysis provide a plausible way forward for investigating how object recognition unfolds in active vision.