Individual Differences in Cognitive Functions

2013 ◽  
pp. 192-248
2007 ◽  
Vol 30 (2) ◽  
pp. 161-162 ◽  
Author(s):  
Hamid Reza Naghavi ◽  
Lars Nyberg

AbstractA large body of evidence supports the idea that a common fronto-parietal network is activated across a range of diverse cognitive functions. Jung & Haier's (J&H's) review demonstrates a very similar pattern of activity, which correlates with individual differences in intelligence. We propose that these converging lines of evidence are best interpreted as a general role of the fronto-parietal network in integration and control.


2018 ◽  
Author(s):  
Chandra Sripada ◽  
Saige Rutherford ◽  
Mike Angstadt ◽  
Wesley K. Thompson ◽  
Monica Luciana ◽  
...  

AbstractDifficulties with higher-order cognitive functions in youth are a potentially important vulnerability factor for the emergence of problematic behaviors and a range of psychopathologies. This study examined 2,013 9-10 year olds in the first data release from the Adolescent Brain Cognitive Development 21-site consortium study in order to identify resting state functional connectivity patterns that predict individual-differences in three domains of higher-order cognitive functions: General Ability, Speed/Flexibility, and Learning/Memory. We found that connectivity patterns involving task control networks and default mode network were prominently implicated in predicting individual differences across participants across all three domains. In addition, for General Ability scores specifically, we observed consistent cross-site generalizability, with statistically significant predictions in 14 out of 15 held-out sites. These findings demonstrate that resting state connectivity can be leveraged to produce generalizable markers of neurocognitive functioning. Additionally, they highlight the importance of task control-default mode network inter-connections as a major locus of individual differences in cognitive functioning in early adolescence.


2021 ◽  
Author(s):  
Daniel L. McCartney ◽  
Robert F Hillary ◽  
Daniel Trejo-Banos ◽  
Danni Alisha Gadd ◽  
Rosie M Walker ◽  
...  

We present a blood-based epigenome-wide association study and variance-components analysis of cognitive functions (n=9,162). Individual differences in DNA methylation (DNAm) accounted for up to 41.5% of the variance in cognitive functions; together, genetic and epigenetic markers accounted for up to 70.4% of the variance. A DNAm predictor accounted for 3.4% and 4.5% (P≤9.9x10-6) of the variance in general cognitive ability, independently of a polygenic score, in two external cohorts.


2021 ◽  
Author(s):  
Yusuke Ujitoko ◽  
Takahiro Kawabe

As observers, we believe that we can visually estimate the force that another person applies to an object. However, it is unclear what kind of cues we use to do this. We have focused on two types of visual change that occur when a person pushes an elastic object from above with his or her finger: the first one relates to a finger/hand shaking, known as an ``induced tremor'' and the second one relates to object deformation due to the application of force. This study shows that human observers of videos combine these two visual cues to estimate the force being applied by another person in the videos. Overall, the apparent force was stronger when the shaking was larger and when the magnitude of the deformation was larger, although systematic individual differences existed. The estimation of force was likely made in separate cognitive functions from the estimation of object softness. Estimating the force that another person applies seems to be done by perceptually interpreting both the actions of others and their external outcomes.


2018 ◽  
Vol 41 ◽  
Author(s):  
Benjamin C. Ruisch ◽  
Rajen A. Anderson ◽  
David A. Pizarro

AbstractWe argue that existing data on folk-economic beliefs (FEBs) present challenges to Boyer & Petersen's model. Specifically, the widespread individual variation in endorsement of FEBs casts doubt on the claim that humans are evolutionarily predisposed towards particular economic beliefs. Additionally, the authors' model cannot account for the systematic covariance between certain FEBs, such as those observed in distinct political ideologies.


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