150 Psychologie
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The lateralization of neuronal processing underpinning hearing, speech, language, and music is widely studied, vigorously debated, and still not understood in a satisfactory manner. One set of hypotheses focuses on the temporal structure of perceptual experience and links auditory cortex asymmetries to underlying differences in neural populations with differential temporal sensitivity (e.g., ideas advanced by Zatorre et al. (2002) and Poeppel (2003). The Asymmetric Sampling in Time theory (AST) (Poeppel, 2003), builds on cytoarchitectonic differences between auditory cortices and predicts that modulation frequencies within the range of, roughly, the syllable rate, are more accurately tracked by the right hemisphere. To date, this conjecture is reasonably well supported, since – while there is some heterogeneity in the reported findings – the predicted asymmetrical entrainment has been observed in various experimental protocols. Here, we show that under specific processing demands, the rightward dominance disappears. We propose an enriched and modified version of the asymmetric sampling hypothesis in the context of speech. Recent work (Rimmele et al., 2018b) proposes two different mechanisms to underlie the auditory tracking of the speech envelope: one derived from the intrinsic oscillatory properties of auditory regions; the other induced by top-down signals coming from other non-auditory regions of the brain. We propose that under non-speech listening conditions, the intrinsic auditory mechanism dominates and thus, in line with AST, entrainment is rightward lateralized, as is widely observed. However, (i) depending on individual brain structural/functional differences, and/or (ii) in the context of specific speech listening conditions, the relative weight of the top-down mechanism can increase. In this scenario, the typically observed auditory sampling asymmetry (and its rightward dominance) diminishes or vanishes.
Members of conflicting groups experience threats to different identity dimensions, resulting in the need to restore the aspect of identity that was threatened. Do these needs translate into specific goals in social interactions? In the present research, we examined the hypotheses that (1) experiencing one’s ingroup as illegitimately disadvantaged or victimized arouses agentic goals (to act and appear assertive and confident) when interacting with the advantaged or victimizing group, while (2) experiencing one’s ingroup as illegitimately advantaged or perpetrating transgressions arouses communal goals (to act and appear warm and trustworthy) when interacting with the disadvantaged or victimized group. Study 1 (N = 391) generally supported both hypotheses across diverse intergroup contexts involving gender, national/ethnic, and consumer identities. Study 2 (N = 122) replicated this pattern in a context of occupational identities. Study 2 further showed that the effect of ingroup role on agentic and communal intergroup goals was not moderated by participants’ general dispositional preferences for agentic and communal goals in interpersonal interactions, thus demonstrating how ingroup role exerts a distinct and robust influence on goals for interactions with other groups. Theoretical and practical implications are discussed.
Attachment theory is commonly used to investigate children’s psychosocial development. To demonstrate cultural variability and to advance the idea of attachment as a collective resource, we assessed children’s attachment networks during middle childhood among the Nseh, a Cameroonian clan with distinct concepts of family and childhood. Using photo elicitation interviews, we used an exploratory approach to investigate the structural and functional composition of these networks and to generate a comprehensive overview. Participants were 11 children (six girls and five boys), aged 6 to 10 years. Children took photos of individuals who were important to them and with whom they felt safe, comfortable, and at ease. Then, in follow-up interviews they were asked to characterize their attachment figures on sociostructural dimensions and to elaborate how those individuals made them feel comfortable and safe. Transcripts of the interviews were coded using ethnographic strategies. Initial descriptive codes were analyzed concerning key terms, semantic relationships, and their context of meaning, before assigning higher level codes to generate distinct main categories of functionality. Children described attachment networks that were structurally adapted to concepts of social ties and interactional norms of the clan. Concerning their functionality, children differentiated between peers, responsible for overt emotional needs, and adults, providing nutritional care. We conclude that this pattern reflects sources of security and concepts of care of the distinct developmental environment. We discuss the importance of context-specific and comprehensive approaches to attachment, moving beyond Eurocentric monotropic concepts, with the goal of developing a complex understanding of childhood across ecocultural settings.
Excess neuronal branching allows for innervation of specific dendritic compartments in cortex
(2019)
The connectivity of cortical microcircuits is a major determinant of brain function; defining how activity propagates between different cell types is key to scaling our understanding of individual neuronal behaviour to encompass functional networks. Furthermore, the integration of synaptic currents within a dendrite depends on the spatial organisation of inputs, both excitatory and inhibitory. We identify a simple equation to estimate the number of potential anatomical contacts between neurons; finding a linear increase in potential connectivity with cable length and maximum spine length, and a decrease with overlapping volume. This enables us to predict the mean number of candidate synapses for reconstructed cells, including those realistically arranged. We identify an excess of putative connections in cortical data, with densities of neurite higher than is necessary to reliably ensure the possible implementation of any given connection. We show that potential contacts allow the particular implementation of connectivity at a subcellular level.
The arrangement of the contents of real-world scenes follows certain spatial rules that allow for extremely efficient visual exploration. What remains underexplored is the role different types of objects hold in a scene. In the current work, we seek to unveil an important building block of scenes—anchor objects. Anchors hold specific spatial predictions regarding the likely position of other objects in an environment. In a series of three eye tracking experiments we tested what role anchor objects occupy during visual search. In all of the experiments, participants searched through scenes for an object that was cued in the beginning of each trial. Critically, in half of the scenes a target relevant anchor was swapped for an irrelevant, albeit semantically consistent, object. We found that relevant anchor objects can guide visual search leading to faster reaction times, less scene coverage, and less time between fixating the anchor and the target. The choice of anchor objects was confirmed through an independent large image database, which allowed us to identify key attributes of anchors. Anchor objects seem to play a unique role in the spatial layout of scenes and need to be considered for understanding the efficiency of visual search in realistic stimuli.
Background: Posttraumatic stress disorder (PTSD) after childhood abuse (CA) is often related to severe co-occurring psychopathology, such as symptoms of borderline personality disorder (BPD). The ICD-11 has included Complex PTSD as a new diagnosis, which is defined by PTSD symptoms plus disturbances in emotion regulation, self-concept, and interpersonal relationships. Unfortunately, the empirical database on psychosocial treatments for survivors of CA is quite limited. Furthermore, the few existing studies often have either excluded subjects with self-harm behaviour and suicidal ideation — which is common behaviour in subjects suffering from Complex PTSD. Thus, researchers are still trying to identify efficacious treatment programmes for this group of patients.
We have designed DBT-PTSD to meet the specific needs of patients with Complex PTSD. The treatment programme is based on the rules and principles of dialectical behavioural therapy (DBT), and adds interventions derived from cognitive behavioural therapy, acceptance and commitment therapy and compassion-focused therapy. DBT-PTSD can be provided as a comprehensive residential programme or as an outpatient programme. The effects of the residential programme were evaluated in a randomised controlled trial. Data revealed significant reduction of posttraumatic symptoms, with large between-group effect sizes when compared to a treatment-as-usual wait list condition (Cohen’s d = 1.5).
The first aim of this project on hand is to evaluate the efficacy of the outpatient DBT-PTSD programme. The second aim is to identify the major therapeutic variables mediating treatment efficacy. The third aim is to study neural mechanisms and treatment sensitivity of two frequent sequelae of PTSD after CA: intrusions and dissociation.
Methods: To address these questions, we include female patients who experienced CA and who fulfil DSM-5 criteria for PTSD plus borderline features, including criteria for severe emotion dysregulation. The study is funded by the German Federal Ministry of Education and Research, and started in 2014. Participants are randomised to outpatient psychotherapy with either DBT-PTSD or Cognitive Processing Therapy. Formal power analysis revealed a minimum of 180 patients to be recruited. The primary outcome is the change on the Clinician-Administered PTSD Scale for DSM-5.
Discussion: The expected results will be a major step forward in establishing empirically supported psychological treatments for survivors of CA suffering from Complex PTSD.
Trial registration: German Clinical Trials Register: registration number DRKS00005578, date of registration 19 December 2013.
Attractiveness ratings for musicians and non-musicians: An evolutionary-psychology perspective
(2019)
From an evolutionary perspective, musical behavior such as playing an instrument can be considered as part of an individual’s courting behavior. Playing a musical instrument or singing might fulfill a function similar to that of a bird’s colored feathers: attracting attention. Therefore, musicians may be rated as more attractive than non-musicians. In an online survey, 137 volunteers (95 female) with ages ranging from 16 to 39 years rated the attractiveness of fictitious persons of the opposite sex described in short verbal profiles. These profiles differed with respect to whether the described person made music or not. Additionally, the musicians’ profiles varied with regard to whether the described person played music or sang in public or in private only. Results show that musicians’ profiles were not generally rated as more attractive than non-musicians’, but attractiveness did vary according to setting: private musicians were rated as most attractive, followed by non-musicians and public musicians. Furthermore, results indicate that participants who played a musical instrument or sang themselves gave higher ratings to profiles of musicians. But for participants who do not make music themselves, higher attractiveness ratings for musicians playing instruments or sing in private settings were found. These results indicate that the impression of sharing a common interest (making music) and furthermore making music in private instrumental settings seems to make people attractive to other people. No additional support for the sexual selection hypotheses for the evolution of music was provided by the current results. The musical status of the rater affected his or her judgements, with musicians rating other people as more attractive if they share the common interest in making music. Not the display of being a musician seems to be critical for attractiveness ratings but the perceived or imagined similarity by the rater created by information on musicality, fostering the theoretical significance of the communication aspect of music.
This study investigated whether prompting children to generate predictions about an outcome facilitates activation of prior knowledge and improves belief revision. 51 children aged 9–12 were tested on two experimental tasks in which generating a prediction was compared to closely matched control conditions, as well as on a test of executive functions (EF). In Experiment 1, we showed that children exhibited a pupillary surprise response to events that they had predicted incorrectly, hypothesized to reflect the transient release of noradrenaline in response to cognitive conflict. However, children's surprise response was not associated with better belief revision, in contrast to a previous study involving adults. Experiment 2 revealed that, while generating predictions helped children activate their prior knowledge, only those with better inhibitory control skills learned from incorrectly predicted outcomes. Together, these results suggest that good inhibitory control skills are needed for learning through cognitive conflict. Thus, generating predictions benefits learning – but only among children with sufficient EF capacities to harness surprise for revising their beliefs.
We tested 6–7-year-olds, 18–22-year-olds, and 67–74-year-olds on an associative memory task that consisted of knowledge-congruent and knowledge-incongruent object–scene pairs that were highly familiar to all age groups. We compared the three age groups on their memory congruency effect (i.e., better memory for knowledge-congruent associations) and on a schema bias score, which measures the participants’ tendency to commit knowledge-congruent memory errors. We found that prior knowledge similarly benefited memory for items encoded in a congruent context in all age groups. However, for associative memory, older adults and, to a lesser extent, children overrelied on their prior knowledge, as indicated by both an enhanced congruency effect and schema bias. Functional Magnetic Resonance Imaging (fMRI) performed during memory encoding revealed an age-independent memory x congruency interaction in the ventromedial prefrontal cortex (vmPFC). Furthermore, the magnitude of vmPFC recruitment correlated positively with the schema bias. These findings suggest that older adults are most prone to rely on their prior knowledge for episodic memory decisions, but that children can also rely heavily on prior knowledge that they are well acquainted with. Furthermore, the fMRI results suggest that the vmPFC plays a key role in the assimilation of new information into existing knowledge structures across the entire lifespan. vmPFC recruitment leads to better memory for knowledge-congruent information but also to a heightened susceptibility to commit knowledge-congruent memory errors, in particular in children and older adults.
Das Strukturgleichungsmodell (SEM) wird in den Sozial- und Verhaltenswissenschaften oft verwendet, um die Beziehung zwischen latenten Variablen zu modellieren. In der Analyse dieser Modelle spielt die Bewertung der Modellgüte eine wesentliche Rolle, wobei geprüft werden soll, ob das untersuchte Modell (Zielmodell) zu den erhobenen Daten passt. Dafür werden verschiedene inferenzstatistische und deskriptive Gütemaße verwendet. In nichtlinearen SEM, in denen nichtlineare Effekte, wie beispielsweise Interaktionseffekte, modelliert werden, gibt es bisher allerdings keine Verfahren, um die Modellgüte ausreichend prüfen zu können. Insbesondere der χexp2-Test ist für verschiedene nichtlineare SEM nicht geeignet (vgl. Klein & Schermelleh-Engel, 2010; Mooijaart & Satorra, 2009).
In dieser Arbeit werden zwei unterschiedliche nichtlineare SEM betrachtet. Das erste dieser Modelle wird für die Analyse von Interaktions- und quadratischen Effekten verwendet (quadratisches SEM, QSEM). Das zweite Modell ist das Heterogene Wachstumskurvenmodell (HGM; Klein & Muthén, 2006). In diesem Modell wird das latente Wachstumskurvenmodell (LGM), mit dem individuelle Wachstumsverläufe modelliert werden können, um eine heterogene Varianzkomponente des Slope-Faktors erweitert. Diese Heterogenität des Slope-Faktors ist abhängig von den Ausgangswerten und Kovariaten.
Ziel dieser Arbeit war es, die Bewertung der Modellgüte für das QSEM und das HGM zu verbessern. Für das QSEM und das HGM wurde jeweils ein globaler Modelltest entwickelt („Quasi-Likelihood-Ratio-Test“; QLRT). Darüber hinaus wurden Differenztests für diese Art der Modelle diskutiert. Außerdem wurde für beide Modelle je ein Gütemaß bereitgestellt, um fehlende Nichtlinearität, wie fehlende nichtlineare Terme bzw. fehlende Heterogenität der Slope-Varianzen, aufdecken zu können (der Homoscedastic Fit Index, HFI, für das QSEM und der hhet-Test für das HGM).
Die Entwicklung der neuen Gütemaße ist im Wesentlichen von der verwendeten Schätzmethode abhängig. Für beide Modelle, das QSEM und das HGM, wurde in dieser Arbeit die Quasi-Maximum-Likelihood-Methode (Quasi-ML-Methode; Wedderburn, 1974) ausgewählt, mit der für beide betrachteten Modelle geeignete Schätzungen erzielt werden können (Klein & Muthén, 2006, 2007). Die Quasi-ML-Methode ist vergleichbar mit der Maximum-Likelihood-Methode, berücksichtigt allerdings Fehlspezifikationen der LogLikelihood-Funktion, wie beispielsweise kleinere Abweichungen von der angenommenen Verteilung. Für das QSEM wurde im Rahmen der Entwicklung der Modelltests eine zur Schätzung von QSEM entwickelte Quasi-ML-Methode (QML-Methode; Klein & Muthén, 2007) vereinfacht zu der „simplified QML“-Methode (sQML-Methode; Büchner & Klein, 2019). Für die sQML-Methode ist es erheblich einfacher als für die QML-Methode einen globalen Modelltest zu entwickeln. In einer Simulationsstudie konnte gezeigt werden, dass die sQML-Methode ähnlich gute Schätzeigenschaften wie die QML-Methode aufweist.
Die Idee der neuen globalen Modelltests für das QSEM und das HGM besteht darin, statt des für das lineare SEM verwendeten χexp2-Tests, der ein Likelihood-Quotienten-Test („Likelihood Ratio Test“, LRT) ist, einen Quasi-LRT (QLRT) zu verwenden, der auf der Quasi-ML-Methode basiert (Büchner & Klein, 2019; Büchner, Klein & Irmer, 2019). Wie für den χexp2-Test soll das Zielmodell mit einem unbeschränkten Vergleichsmodell verglichen werden. Ist der Unterschied zwischen den Modellen groß, wird darauf geschlossen, dass das Zielmodell nicht gut zu den Daten passt. Die Schwierigkeit bei der Entwicklung solcher QLRT liegt dabei in der Definition eines Vergleichsmodells. Die hier verwendete Idee für solche Vergleichsmodelle besteht darin, wie im χexp2-Test, die Beschränkungen durch das Zielmodell im Vergleichsmodell aufzuheben. Eine weitere Herausforderung ist die Bestimmung der asymptotischen Verteilung der QLRT-Statistiken, die nicht, wie viele LRT-Statistiken, asymptotisch χexp2-verteilt sind. Deshalb wurde die korrekte asymptotische Verteilung dieser Teststatistiken bestimmt, die das Ermitteln von p-Werten ermöglicht.
Globale Modelltests sind zwar geeignet, wichtige Aussagen zur Passung des Modells zu machen, ermöglichen aber keine direkte Aussage über den Vergleich zweier konkurrierender Modelle. Ein solcher Modellvergleich ist aber wichtig, um ein möglichst sparsames Modell zu erhalten. Zum Vergleich ineinander geschachtelter Modelle werden häufig Differenztests verwendet. Diese werden auch in der Arbeit mit dem QSEM und dem HGM empfohlen. Allerdings ist zu beachten, dass die Teststatistiken für mit der Quasi-MLMethode geschätzten Modelle nicht χexp2-verteilt sind. Im Rahmen dieser Arbeit wurde eine korrekte asymptotische Verteilung angegeben. Im Speziellen wurde der Differenztest für den Vergleich zwischen einem HGM und einem LGM vorgestellt, mit dem getestet wird, ob die im HGM modellierten heterogenen Slope-Varianzen notwendig sind.
Ein weiteres Ziel bestand darin, fehlende Nichtlinearität, die nicht in einem Modell berücksichtigt ist, aufzudecken. Dafür wurde ein Test für Regressionsmodelle, der hhet-Test (Klein, Gerhard, Büchner, Diestel & Schermelleh-Engel, 2016), angepasst. Für das SEM wurde dieser Test zu einem Fit-Index, dem HFI (Gerhard, Büchner, Klein & SchermellehEngel, 2017), weiterentwickelt und darin die Verteilung der Residuen der abhängigen Variable bewertet. Der HFI deckt dabei Veränderungen in der Verteilung auf, die durch fehlende nichtlineare Terme verursacht sind. Für das LGM wird der hhet-Test verwendet, um fehlende heterogene Entwicklungsverläufe aufzudecken. Es wird die Verteilung der mit dem LGM standardisierten beobachteten Variablen geprüft.
Für alle vorgeschlagenen Gütemaße wurden Simulationsstudien durchgeführt, um ihre Eignung für die Bewertung des QSEMs bzw. des HGMs zu prüfen. Die α-Fehler-Raten waren meistens nahe an dem erstrebten 5%-Niveau. Für den QLRT für das QSEM bei kleinen Stichproben und für den HFI bei komplexeren Modellen waren sie allerdings erhöht. Darüber hinaus zeigten die Tests insgesamt eine gute Teststärke für das Aufdecken von Fehlspezifikationen. Wie in allen statistischen Tests muss dafür die Stichprobengröße ausreichend groß sein. Die praktische Anwendbarkeit der beiden QLRTs, des hhet-Tests und des Differenztests für das HGM wurde anhand von empirischen Beispielen aufgezeigt.