Physical exercise during encoding improves vocabulary learning in young female adults

Acute physical activity has been repeatedly shown to improve various cognitive functions. However, there have been no investigations comparing the effects of exercise during verbal encoding versus exercise prior to encoding on long-term memory performance. In this current psychoneuroendocrinological study we aim to test whether light to moderate ergometric bicycling during vocabulary encoding enhances subsequent recall compared to encoding during physical rest and encoding after being physically active. Furthermore, we examined the kinetics of brain-derived neurotrophic factor (BDNF) in serum which has been previously shown to correlate with learning performance. We also controlled for the BDNF val66met polymorphism. We found better vocabulary test performance for subjects that were physically active during the encoding phase compared to sedentary subjects. Post-hoc tests revealed that this effect was particularly present in initially low performers. BDNF in serum and BDNF genotype failed to account for the current result. Our data indicates that light to moderate simultaneous physical activity during encoding, but not prior to encoding, is beneficial for subsequent recall of new items

Selected Principles of Pankseppian Affective Neuroscience

In the early nineties of the twentieth century Jaak Panksepp coined the term “Affective Neuroscience” (AN) today being accepted as a unique research area in cross-species brain science. By means of (i) electrical stimulation, (ii) pharmacological challenges, and (iii) brain lesions of vertebrate brains (mostly mammalian), Panksepp carved out seven primary emotional systems called SEEKING, CARE, PLAY, and LUST on the positive side, whereas FEAR, SADNESS, and ANGER belong to the negative affects. Abundant research into human clinical applications has supported the hypothesis that imbalances in these ancient primary emotional systems are strongly linked to psychiatric disorders such as depression. The present paper gives a concise overview of Panksepp's main ideas. It gives an historical overview of the development of Panksepp's AN thinking. It touches not only areas of neuroscience, but also shows how AN has been applied to other research fields such as personality psychology. Finally, the present work gives a brief overview of the main ideas of AN

Affective Language, Interpretation Bias and Its Molecular Genetic Variations: Exploring the Relationship Between Genetic Variations of the OXTR Gene (rs53576 and rs2268498) and the Emotional Evaluation of Words Related to the Self or the Other

Several studies have demonstrated links between oxytocin and socio-emotional information processing. Regarding the frequently studied single nucleotide polymorphism (SNP) rs53576 and the less studied, functional polymorphism rs2268498 of the oxytocin receptor (OXTR) gene, previous research suggested that their variants might be associated with different proficiency in the processing of social information. Differences between the genotype variants are not restricted to non-verbal stimulus processing but have also been reported in the verbal domain. Moreover, there is evidence that oxytocin expression influences empathic communication and language development during childhood, indicating that language-based theory-of-mind abilities may be affected by interindividual differences in OXTR genotypes as well. The present study therefore investigates whether two prominent SNPs of the OXTR gene (rs53576 GG vs. A+; rs2268498 TT vs. C+) also play a role in the affective evaluation of verbal stimuli varying in emotional valence and in self-other reference. Participants (N = 149 Caucasian participants, 104 females; A+: n = 80, GG: n = 69; C+: n = 98, TT: n = 51) were presented a series of written, self-, other-, and unreferenced words of positive, negative, and neutral valence and asked to affectively evaluate each word pair as positive, negative, or neutral by button press. In line with previous research, reaction times and accuracy (number of valence-congruent responses) showed a self-positivity bias (i.e., preferential processing of self-related positive words), which, however, was unaffected by participants’ genotype. Regarding affective evaluation of neutral words (interpretation bias), A+ carriers displayed a weaker positive interpretation bias compared to GG carriers in the other– and unreferenced stimulus categories. C+ carriers showed a weaker positive interpretation bias than TT carriers in the self-reference condition and in the other-reference condition. These effects were independent from participants’ gender. The present results suggest that the OXTR genotype and hence participants’ genetic oxytocin sensitivity may cause an interpretation bias in the spontaneous appraisal of neutral words

A short review on susceptibility to falling for fake political news

This review discusses recent findings on individuals’ susceptibility to falling for fake news in the political context. Considering political attitudes and analytical thinking, we find that individuals tend to overrate the accuracy of true and fake political news that are consistent with their own political attitudes. This tendency, however, cannot be explained by motivated reasoning. This is supported by findings showing that analytical thinking is negatively related to susceptibility to falling for fake news, regardless of whether they are consistent or inconsistent with one’s political attitudes. We suggest that future works should aim at i) examining how, for example, news consumption habits relate to susceptibility to falling for fake news and ii) implementing other, more external valid fake news tests

The Multipurpose Application WeChat: A Review on Recent Research

With currently over one billion monthly active users, the Chinese social media and multipurpose application WeChat (, Wēixìn, micro-message) has become one of the world’s most popular social media platforms. Despite its enormous number of users in Asia, WeChat is still not well known in Western countries. Against this background, the present review aims to provide the reader with a comprehensive overview on the functionality of this application, comparison with other popular applications such as Facebook/WhatsApp and previous research. Although WeChat has become an integral part of everyday life for many users, research has only recently begun to examine the impact of this development on the societal and individual levels. The present review summarizes the literature on this topic with a focus on the motives to engage in using the app and potential detrimental effects of excessive use. In the context of the growing popularity and increasing usage times of the app – in particular in Asian countries – future research seems warranted to examine systematically how social media platforms such as WeChat will affect interpersonal communication behavior, well-being, and mental health. The direct comparison of WeChat’s influence on the mentioned variables compared with its competitors Facebook and WhatsApp often used in Western countries will also be of high importance

Animal Emotions

Animal Emotions: How They Drive Human Behavior gives a concise overview of ancient mammalian emotions deeply rooted in the human brain. Jaak Panksepp, a world-renowned neuroscientist, dedicated his life career to the study of mammalian emotions and he carved out seven distinct emotional systems he called seeking, lust, care, and play (positive emotions), and fear, anger, and sadness (negative emotions), all exerting a tremendous influence on human behavior.Christian Montag, a neuroscientist and psychologist, and a long-time collaborator of Jaak Panksepp, revisits together with Kenneth L. Davis, one of Jaak’s PhD students, Panksepp’s theories and provides the reader with new insights into the nature of emotions and their role as survival tools, both for animals and for humans. They also raise new questions about the background of the research field Jaak Panksepp coined "Affective Neuroscience." How are personality and psychopathology linked to animal emotions? Do animals feel the same way as we do? What are our emotional needs in a digital society, and what is key to a happy life

Feasibility of Linking Molecular Genetic Markers to Real-World Social Network Size Tracked on Smartphones

The study of individual differences in human social behavior has a long tradition in (personality) psychology focusing on traits such as extraversion linked to vividness and assertiveness. The study of molecular genetic underpinnings of individual differences in social behavior produced many genetic association studies with only few genetic variants, robustly associated with individual differences in personality. One possible reason for non-replication of findings might be the different inventories used to assess human social traits. Moreover, self-report methods to assess personality and social behavior might be problematic due to their susceptibility to different biases such as social desirability or poor abilities in self-reflection. We stress the importance of including recorded behavior to understand the molecular genetic basis of individual differences in personality and linked social traits. We present preliminary data linking oxytocin genetics to individual differences in social network size derived from smartphones. Here, the genetic variation rs2268498, located in the adjacent area of the promoter of the gene coding for the oxytocin receptor (OXTR), was linked to the number of active contacts and incoming calls, tracked on the smartphone for 12 days (note that these results became a bit weaker when age was controlled for). Although the present empirical findings should only be seen as a proof of concept study, this work demonstrates the feasibility to combine molecular genetic variables with real world behavior. If this approach keeps its promises, the field of personality research might experience a boost in psychometric quality in the near future

Towards Homo Digitalis: Important Research Issues for Psychology and the Neurosciences at the Dawn of the Internet of Things and the Digital Society

The present article gives an overview on central challenges humans face at the dawn of complex digital societies and the Internet of Things (IoT), i.e., a world completely connected to the Internet. Among the many challenges to be handled in digital societies is a growing fragmented life style leading to loss of productivity as well as moments for self-reflection. In all this, it is of tremendous importance to understand the impact of digital worlds on our brains and psyches and to reveal possible unintended side-effects of technology use. Does human nature change due to constant interactions with virtual realities? In this context, we also face the challenge to design digital worlds according to our mammalian-emotional heritage deeply anchored in subcortical areas of the human brain. Here, we refer to emotional needs as carved out by Panksepp’s Affective Neuroscience Theory and how they can or cannot be fulfilled in digital worlds. Aside from a review of several key studies dealing with the raised challenges, some first solutions to successfully meet the mentioned problems are provided to achieve sustainable and healthy digital worlds, with whom humans can interact carefree on a daily basis