An fMRI study on the neural mechanisms underlying risk judgments

2007 ◽  
pp. 247-248
2012 ◽  
Vol 8 (4) ◽  
pp. 424-431 ◽  
Author(s):  
Corrado Corradi-Dell'Acqua ◽  
Claudia Civai ◽  
Raffaella I. Rumiati ◽  
Gereon R. Fink

2007 ◽  
Vol 1166 ◽  
pp. 92-102 ◽  
Author(s):  
Midori Shibata ◽  
Jun-ichi Abe ◽  
Atsushi Terao ◽  
Tamaki Miyamoto
Keyword(s):  

2016 ◽  
Vol 7 ◽  
Author(s):  
Li Zhang ◽  
Fei Cai ◽  
Chuansheng Chen ◽  
Qinghua He

2020 ◽  
Author(s):  
Lukas Lengersdorff ◽  
Isabella Wagner ◽  
Claus Lamm

Humans learn quickly which actions cause them harm. As social beings, we also need to learn to avoid actions that hurt others. It is currently unknown if humans are as good at learning to avoid others' harm (prosocial learning) as they are at learning to avoid self-harm (self-relevant learning). Moreover, it remains unclear how the neural mechanisms of prosocial learning differ from those of self-relevant learning. In this fMRI study, 96 male human participants learned to avoid painful stimuli either for themselves or for another individual. We found that participants performed more optimally when learning for the other than for themselves. Computational modeling revealed that this could be explained by an increased sensitivity to subjective values of choice alternatives during prosocial learning. Increased value-sensitivity was further associated with empathic traits. On the neural level, higher value-sensitivity during prosocial learning was associated with stronger engagement of the ventromedial prefrontal cortex (VMPFC) during valuation. Moreover, the VMPFC exhibited higher connectivity with the right temporoparietal junction during prosocial, compared to self-relevant, choices. Our results suggest that humans are particularly adept at learning to protect others from harm. This ability appears implemented by neural mechanisms overlapping with those supporting self-relevant learning, but with the additional recruitment of structures associated to the social brain. Our findings contrasts with recent proposals that humans are egocentrically biased when learning to obtain monetary rewards for self or others. Prosocial tendencies may thus trump the egocentric bias in learning when another person's physical integrity is at stake.


2008 ◽  
Vol 49 (4) ◽  
pp. 237-247
Author(s):  
Midori Homma ◽  
Satoshi Imaizumi ◽  
Masaharu Maruishi ◽  
Hiroyuki Muranaka

2019 ◽  
Author(s):  
Joshua D. Hoddinott ◽  
Dirk Schuit ◽  
Jessica A. Grahn

AbstractAuditory working memory is often conceived of as a unitary capacity, with memory for different auditory materials (syllables, pitches, rhythms) thought to rely on similar neural mechanisms. One spontaneous behavior observed in working memory studies is ‘chunking’. For example, individuals often recount digit sequences in groups, or chunks, of 3 to 4 digits, and this chunking improves performance. Chunking may also operate in musical rhythm, with beats acting as chunk boundaries for tones in rhythmic sequences. Similar to chunking, beat-based structure in rhythms also improves performance. Thus, beat processing may rely on the same mechanisms that underlie chunking of verbal material. The current fMRI study examined whether beat perception is a type of chunking, measuring brain responses to chunked and unchunked letter sequences relative to beat-based and nonbeat-based rhythmic sequences. Participants completed a sequence discrimination task, and comparisons between stimulus encoding, maintenance, and discrimination were made for both rhythmic and verbal sequences. Overall, rhythm and verbal working memory networks overlapped substantially. When comparing rhythmic and verbal conditions, rhythms activated basal ganglia, supplementary motor area, and anterior insula, compared to letter strings, during encoding and discrimination. Letter strings compared to rhythms activated bilateral auditory cortex during encoding, and parietal cortex, precuneus, and middle frontal gyri during discrimination. Importantly, there was a significant interaction in the basal ganglia during encoding: activation for beat-based rhythms was greater than for nonbeat-based rhythms, but verbal chunked and unchunked conditions did not differ. The significant interaction indicates that beat perception is not simply a case of chunking, suggesting a dissociation between beat processing and grouping mechanisms that warrants further exploration.


2018 ◽  
Vol 34 (6) ◽  
Author(s):  
Gülsüm Akdeniz ◽  
Sila Toker ◽  
Ibrahim Atli
Keyword(s):  

2018 ◽  
Vol 349 ◽  
pp. 54-62
Author(s):  
Malek Abidi ◽  
Jared Bruce ◽  
Alain Le Blanche ◽  
Amanda Bruce ◽  
David P. Jarmolowicz ◽  
...  

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