scholarly journals The neural basis of individual differences in mate poaching

2016 ◽  
Vol 12 (4) ◽  
pp. 391-399 ◽  
Author(s):  
Ryuhei Ueda ◽  
Hiroshi Ashida ◽  
Kuniaki Yanagisawa ◽  
Nobuhito Abe
2011 ◽  
Vol 71 ◽  
pp. e165
Author(s):  
Emi Yamano ◽  
Masaaki Tanaka ◽  
Akira Ishii ◽  
Yasuyoshi Watanabw

2018 ◽  
Vol 373 (1744) ◽  
pp. 20170153 ◽  
Author(s):  
T. W. Robbins

This article critically reviews evidence relating temperamental traits and personality factors to the monoamine neurotransmitters, especially dopamine and serotonin. The genetic evidence is not yet considered to be conclusive and it is argued that basic neuroscience research on the neural basis of behaviour in experimental animals should be taken more into account. While questionnaire and lexical methodology including the ‘Five Factor’ theory has been informative (mostly for the traits relevant to social functioning, i.e. personality), biologically oriented approaches should be employed with more objective, theoretically grounded measures of cognition and behaviour, combined with neuroimaging and psychopharmacology, where appropriate. This strategy will enable specific functions of monoamines and other neuromodulators such as acetylcholine and neuropeptides (such as orexin) to be defined with respect to their roles in modulating activity in specific neural networks—leading to a more realistic definition of their interactive roles in complex, biologically based traits (i.e. temperament). This article is part of the theme issue ‘Diverse perspectives on diversity: multi-disciplinary approaches to taxonomies of individual differences’.


2019 ◽  
Vol 116 (32) ◽  
pp. 15861-15870 ◽  
Author(s):  
Jeffrey A. Brooks ◽  
Junichi Chikazoe ◽  
Norihiro Sadato ◽  
Jonathan B. Freeman

Humans reliably categorize configurations of facial actions into specific emotion categories, leading some to argue that this process is invariant between individuals and cultures. However, growing behavioral evidence suggests that factors such as emotion-concept knowledge may shape the way emotions are visually perceived, leading to variability—rather than universality—in facial-emotion perception. Understanding variability in emotion perception is only emerging, and the neural basis of any impact from the structure of emotion-concept knowledge remains unknown. In a neuroimaging study, we used a representational similarity analysis (RSA) approach to measure the correspondence between the conceptual, perceptual, and neural representational structures of the six emotion categories Anger, Disgust, Fear, Happiness, Sadness, and Surprise. We found that subjects exhibited individual differences in their conceptual structure of emotions, which predicted their own unique perceptual structure. When viewing faces, the representational structure of multivoxel patterns in the right fusiform gyrus was significantly predicted by a subject’s unique conceptual structure, even when controlling for potential physical similarity in the faces themselves. Finally, cross-cultural differences in emotion perception were also observed, which could be explained by individual differences in conceptual structure. Our results suggest that the representational structure of emotion expressions in visual face-processing regions may be shaped by idiosyncratic conceptual understanding of emotion categories.


2017 ◽  
Vol 27 (1) ◽  
pp. 56-63 ◽  
Author(s):  
Usha Goswami

Individual differences in phonological awareness, or speech-sound awareness, between children predict reading and spelling development across languages. Recent advances in our understanding of the neural basis of speech encoding suggest one possible sensory and neural basis for these individual differences. This article describes an oscillatory theoretical perspective based on sampling of the speech stream by networks of cells that vary in excitability at different temporal rates. These variations in neural excitability (oscillations) may align to similar energy variations (such as amplitude modulations, AMs) in speech, helping to encode the signal. Indeed, cell networks in auditory cortex form an oscillatory hierarchy, which mirrors an AM hierarchy found in rhythmic speech. Mappings between these hierarchies may support parsing of the speech signal into phonological units. Oscillations at approximately 2 Hz may help identify stressed syllables, used to convey meaning in all languages, while oscillations at approximately 5 Hz may help identify syllables. Behavioral research suggests that the rhythmic patterning of stressed syllables may provide an acoustic “skeleton” for phonological development across languages. As well as helping to explain individual differences, an oscillatory framework offers new targets for improving children’s phonological development, for example, via multimodal rhythmic activities.


Author(s):  
Heather Burte ◽  
Benjamin O. Turner ◽  
Michael B. Miller ◽  
Mary Hegarty

2006 ◽  
Vol 18 (6) ◽  
pp. 923-931 ◽  
Author(s):  
Gui Xue ◽  
Chuansheng Chen ◽  
Zhen Jin ◽  
Qi Dong

There are great individual differences in learning abilities, but their neural bases, especially among normal populations, are not well understood. Using functional magnetic resonance imaging and a training paradigm, the present study investigated individual differences in cerebral asymmetry in fusiform regions when processing a new writing system and their correlation to subsequent visual character learning. Twelve Chinese adults underwent a 2-week training to learn 120 Korean characters and they were scanned before and after the training. Results showed that left-hemispheric dominance during the pretraining task was predictive of better posttraining performance. These results have significant implications for our understanding of the neural basis of language learning, especially in terms of individual differences.


Emotion ◽  
2006 ◽  
Vol 6 (2) ◽  
pp. 239-245 ◽  
Author(s):  
Sarah M. Brown ◽  
Stephen B. Manuck ◽  
Janine D. Flory ◽  
Ahmad R. Hariri

2017 ◽  
Vol 12 (9) ◽  
pp. 1384-1393 ◽  
Author(s):  
Irene de Caso ◽  
Giulia Poerio ◽  
Elizabeth Jefferies ◽  
Jonathan Smallwood

2014 ◽  
Vol 26 (2) ◽  
pp. 380-394 ◽  
Author(s):  
Aiden E. G. F. Arnold ◽  
Andrea B. Protzner ◽  
Signe Bray ◽  
Richard M. Levy ◽  
Giuseppe Iaria

Spatial orientation is a complex cognitive process requiring the integration of information processed in a distributed system of brain regions. Current models on the neural basis of spatial orientation are based primarily on the functional role of single brain regions, with limited understanding of how interaction among these brain regions relates to behavior. In this study, we investigated two sources of variability in the neural networks that support spatial orientation—network configuration and efficiency—and assessed whether variability in these topological properties relates to individual differences in orientation accuracy. Participants with higher accuracy were shown to express greater activity in the right supramarginal gyrus, the right precentral cortex, and the left hippocampus, over and above a core network engaged by the whole group. Additionally, high-performing individuals had increased levels of global efficiency within a resting-state network composed of brain regions engaged during orientation and increased levels of node centrality in the right supramarginal gyrus, the right primary motor cortex, and the left hippocampus. These results indicate that individual differences in the configuration of task-related networks and their efficiency measured at rest relate to the ability to spatially orient. Our findings advance systems neuroscience models of orientation and navigation by providing insight into the role of functional integration in shaping orientation behavior.


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