Research Byte: A #hierarchical model of early #brain #functional #network development - excellent #review #cognition #cognitive #brain networks #schoolpsychology

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A good overview/review article of the evolution of brain networks with an excellent visual-graphic summary (I love good visual summaries, which I label in my blog as being a Gv Figure Hall of Fame)

A hierarchical model of early brain functional network development 
Wei Gao, Open access (you can download and read) in Trends in Cognitive Science

Abstract 

Functional brain networks emerge prenatally, grow interactively during the first years of life, and optimize both within-network topology and between-network interactions as individuals age. This review summarizes research that has characterized this process over the past two decades, and aims to link functional network growth with emerging behaviors, thereby developing a more holistic understanding of the developing brain and behavior from a functional network perspective. This synthesis suggests that the development of the brain's functional networks follows an overlapping hierarchy, progressing from primary sensory/motor to socioemotional-centered development and finally to higher-order cognitive/executive control networks. Risk-related alterations, resilience factors, treatment effects, and novel therapeutic opportunities are also dis-cussed to encourage the consideration of future imaging-assisted methods for identifying risks and interventions.

Research Byte: Dynamic switching between #brainnetworks (#executivecontrol #defaultmode) predicts #creative ability - attention #cognition #schoolpsychology #creativity

Dynamic switching between brain networks predicts creative ability.  

Qunlin et al.,(2025).   Click here read article and download PDF (Communications Biology) if you so desire.

Abstract

Creativity is hypothesized to arise from a mental state which balances spontaneous thought and cognitive control, corresponding to functional connectivity between the brain’s Default Mode (DMN) and Executive Control (ECN) Networks. Here, we conduct a large-scale, multi-center examination of this hypothesis. Employing a meta-analytic network neuroscience approach, we analyze resting-state fMRI and creative task performance across 10 independent samples from Austria, Canada, China, Japan, and the United States (N= 2433)—constituting the largest and most ethnically diverse creativity neuroscience study to date. Using time-resolved network analysis, we investigate the relationship between creativity (i.e., divergent thinking ability) and dynamic switching between DMN and ECN. We find that creativity, but not general intelligence, can be reliably predicted by the number of DMN-ECN switches. Importantly, we identify an inverted-U relationship between creativity and the
degree of balance between DMN-ECN switching, suggesting that optimal creative performance requires balanced brain network dynamics. Furthermore, an independent task-fMRI validation study (N= 31) demonstrates higher DMN-ECN switching during creative idea generation (compared to a control condition) and replicates the inverted-U relationship. Therefore, we provide robust evidence across multi-center datasets that creativity is tied to the capacity to dynamically switch between brain networks supporting spontaneous and controlled cognition.

What about executive functions and CHC theory? New research for discussion

What about executive functions and CHC theory: New research for discussion from Kevin McGrew

Researh Byte: Lower social intelligence results in greater brain network activity---when on is not socially confident, ones brain works harder

Contributions of self-report and performance-based individual differences measures of social cognitive ability to large-scale neural network functioning

• Ryan Smith 
• , Anna Alkozei
• , William D. S. Killgore

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Abstract

Adaptive social behavior appears to require flexible interaction between multiple large-scale brain networks, including the executive control network (ECN), the default mode network (DMN), and the salience network (SN), as well as interactions with the perceptual processing systems these networks function to modulate. Highly connected cortical “hub” regions are also thought to facilitate interactions between these networks, including the dorsolateral prefrontal cortex (DLPFC), dorsomedial prefrontal cortex (DMPFC), anterior cingulate cortex (ACC), and anterior insula (AI). However, less is presently known about the relationship between these network functions and individual differences in social-cognitive abilities. In the present study, 23 healthy adults (12 female) underwent functional magnetic resonance imaging (fMRI) while performing a visually based social judgment task (requiring the evaluation of social dominance in faces). Participants also completed both self-report and performance-based measures of emotional intelligence (EI), as well as measures of personality and facial perception ability. During scanning, social judgment, relative to a control condition involving simple perceptual judgment of facial features in the same stimuli, activated hub regions associated with each of the networks mentioned above (observed clusters included: bilateral DLPFC, DMPFC/ACC, AI, and ventral visual cortex). Interestingly, self-reported and performance-based measures of social-cognitive ability showed opposing associations with these patterns of activation. Specifically, lower self-reported EI and lower openness in personality both independently predicted greater activation within hub regions of the SN, DMN, and ECN (i.e., the DLPFC, DMPFC/ACC, and AI clusters); in contrast, in the same analyses greater scores on performance-based EI measures and on facial perception tasks independently predicted greater activation within hub regions of the SN and ECN (the DLPFC and AI clusters), and also in the ventral visual cortex. These findings suggest that lower confidence in one’s own social-cognitive abilities may promote the allocation of greater cognitive resources to, and improve the performance of, social-cognitive functions.

Keywords

Social Cognition Large-Scale Neural Networks Individual Differences Emotional Intelligence Social Visual Perception

Chronic smoking may impair the executive function and default brain networks

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Saturday, March 7, 2015

6:49 PM