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The Rewarding Aspects of Music Listening Are Related to Degree of Emotional Arousal
Listening to music is amongst the most rewarding experiences for humans. Music has no functional resemblance to other rewarding stimuli, and has no demonstrated biological value, yet individuals continue listening to music for pleasure. It has been suggested that the pleasurable aspects of music listening are related to a change in emotional arousal, although this link has not been directly investigated. In this study, using methods of high temporal sensitivity we investigated whether there is a systematic relationship between dynamic increases in pleasure states and physiological indicators of emotional arousal, including changes in heart rate, respiration, electrodermal activity, body temperature, and blood volume pulse.
Twenty-six participants listened to self-selected intensely pleasurable music and \"neutral\" music that was individually selected for them based on low pleasure ratings they provided on other participants' music. The \"chills\" phenomenon was used to index intensely pleasurable responses to music. During music listening, continuous real-time recordings of subjective pleasure states and simultaneous recordings of sympathetic nervous system activity, an objective measure of emotional arousal, were obtained.
Results revealed a strong positive correlation between ratings of pleasure and emotional arousal. Importantly, a dissociation was revealed as individuals who did not experience pleasure also showed no significant increases in emotional arousal.
These results have broader implications by demonstrating that strongly felt emotions could be rewarding in themselves in the absence of a physically tangible reward or a specific functional goal.
Journal Article
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
Graph theory is a valuable framework to study the organization of functional and anatomical connections in the brain. Its use for comparing network topologies, however, is not without difficulties. Graph measures may be influenced by the number of nodes (N) and the average degree (k) of the network. The explicit form of that influence depends on the type of network topology, which is usually unknown for experimental data. Direct comparisons of graph measures between empirical networks with different N and/or k can therefore yield spurious results. We list benefits and pitfalls of various approaches that intend to overcome these difficulties. We discuss the initial graph definition of unweighted graphs via fixed thresholds, average degrees or edge densities, and the use of weighted graphs. For instance, choosing a threshold to fix N and k does eliminate size and density effects but may lead to modifications of the network by enforcing (ignoring) non-significant (significant) connections. Opposed to fixing N and k, graph measures are often normalized via random surrogates but, in fact, this may even increase the sensitivity to differences in N and k for the commonly used clustering coefficient and small-world index. To avoid such a bias we tried to estimate the N,k-dependence for empirical networks, which can serve to correct for size effects, if successful. We also add a number of methods used in social sciences that build on statistics of local network structures including exponential random graph models and motif counting. We show that none of the here-investigated methods allows for a reliable and fully unbiased comparison, but some perform better than others.
Journal Article
SUBTLEX-CH: Chinese Word and Character Frequencies Based on Film Subtitles
Word frequency is the most important variable in language research. However, despite the growing interest in the Chinese language, there are only a few sources of word frequency measures available to researchers, and the quality is less than what researchers in other languages are used to.
Following recent work by New, Brysbaert, and colleagues in English, French and Dutch, we assembled a database of word and character frequencies based on a corpus of film and television subtitles (46.8 million characters, 33.5 million words). In line with what has been found in the other languages, the new word and character frequencies explain significantly more of the variance in Chinese word naming and lexical decision performance than measures based on written texts.
Our results confirm that word frequencies based on subtitles are a good estimate of daily language exposure and capture much of the variance in word processing efficiency. In addition, our database is the first to include information about the contextual diversity of the words and to provide good frequency estimates for multi-character words and the different syntactic roles in which the words are used. The word frequencies are freely available for research purposes.
Journal Article
Memory lane : the perfectly imperfect ways we remember
\"Making Memories describes the science of how memories are constructed and reconstructed, revealing how this process of making (and remaking) memories - which has strengths, but also introduces vulnerabilities - is central to the formation of our identities. Rather than retrieving memories fully formed from long-term storage, memories are reconstructed every time we attempt to recall them. The way in which memories are reconstructed can lead to errors and distortions and even to entirely false memories. The authors describe the consequences of these memory errors, including faulty eyewitness identifications and susceptibility to misinformation. Greene and Murphy also discuss the effects of memory distortion in our lives, both negative and positive. The downsides of memory distortions are considerable; however, the authors make the point that they arise not as some anomaly or failure of evolution but rather as a by-product of a \"perfectly imperfect\" process that evolved to solve problems in our ancestral environment. These \"flaws\" are perhaps better thought of as \"features,\" as they help to make us who we are and enable us to go about our lives and make sense of our experiences. The problems arise when we have unrealistic expectations of our memories - for example, if we expect them to record our experiences like a video camera, perfectly preserving the past, which they do not\"-- Provided by publisher.
BOOK
Hippocampus Leads Ventral Striatum in Replay of Place-Reward Information
Associating spatial locations with rewards is fundamental to survival in natural environments and requires the integrity of the hippocampus and ventral striatum. In joint multineuron recordings from these areas, hippocampal-striatal ensembles reactivated together during sleep. This process was especially strong in pairs in which the hippocampal cell processed spatial information and ventral striatal firing correlated to reward. Replay was dominated by cell pairs in which the hippocampal \"place\" cell fired preferentially before the striatal reward-related neuron. Our results suggest a plausible mechanism for consolidating place-reward associations and are consistent with a central tenet of consolidation theory, showing that the hippocampus leads reactivation in a projection area.
Journal Article
Language in the brain
\"Linguistics, neurocognition, and phenomenological psychology are fundamentally different fields of research. Helmut Schnelle provides an interdisciplinary understanding of a new integrated field in which linguists can be competent in neurocognition and neuroscientists in structure linguistics. Consequently the first part of the book is a systematic introduction to the function of the form and meaning-organising brain component - with the essential core elements being perceptions, actions, attention, emotion and feeling. Their descriptions provide foundations for experiences based on semantics and pragmatics. The second part is addressed to non-linguists and presents the structural foundations of currently established linguistic frameworks. This book should be serious reading for anyone interested in a comprehensive understanding of language, in which evolution, functional organisation and hierarchies are explained by reference to brain architecture and dynamics\"--Provided by publisher.
Book
What Is Stochastic Resonance? Definitions, Misconceptions, Debates, and Its Relevance to Biology
Stochastic resonance is said to be observed when increases in levels of unpredictable fluctuations--e.g., random noise--cause an increase in a metric of the quality of signal transmission or detection performance, rather than a decrease. This counterintuitive effect relies on system nonlinearities and on some parameter ranges being \"suboptimal\". Stochastic resonance has been observed, quantified, and described in a plethora of physical and biological systems, including neurons. Being a topic of widespread multidisciplinary interest, the definition of stochastic resonance has evolved significantly over the last decade or so, leading to a number of debates, misunderstandings, and controversies. Perhaps the most important debate is whether the brain has evolved to utilize random noise in vivo, as part of the \"neural code\". Surprisingly, this debate has been for the most part ignored by neuroscientists, despite much indirect evidence of a positive role for noise in the brain. We explore some of the reasons for this and argue why it would be more surprising if the brain did not exploit randomness provided by noise--via stochastic resonance or otherwise--than if it did. We also challenge neuroscientists and biologists, both computational and experimental, to embrace a very broad definition of stochastic resonance in terms of signal-processing \"noise benefits\", and to devise experiments aimed at verifying that random variability can play a functional role in the brain, nervous system, or other areas of biology.
Journal Article