Evolution of Brain Network Connectivity in the Prefrontal Cortex During Concept Generation Using Brainstorming for a Design Task

2021 ◽  
Author(s):  
Julie Milovanovic ◽  
Mo Hu ◽  
Tripp Shealy ◽  
John Gero
Author(s):  
Julie Milovanovic ◽  
Mo Hu ◽  
Tripp Shealy ◽  
John Gero

Abstract The research results presented in this paper explore the temporal changes in central regions of the prefrontal cortex (PFC) during design brainstorming. Design mobilizes a range of cognitive processes such as problem analysis and framing, concept generation, decision-making, visual reasoning and creative problem solving. Concept generation is supported by an iteration of divergent and convergent thinking. The process of brainstorming focuses primarily on divergent thinking. Measurement techniques from neuroscience were used to quantify neurocognitive activation during concept generation using brainstorming during a design task. Correlations in brain activation were used with graph theory to describe brain network connectivity and present the temporal evolution of network centrality in the PFC during brainstorming. The results reveal shifts of network centrality between the right, medial, and left PFC, suggesting possible shifts in the dominant cognitive functions between divergent and convergent thinking during design brainstorming. The alternations of centrality and connectivity between hemispheres provides a consistent mapping with the theory of dual reasoning process in prior design cognition studies. This empirical study with ten graduate engineering students offers initial results to further explore connections between brain network connectivity and cognitive processes when brainstorming during a design task. It provides new evidence to examine existing theories of design.


2018 ◽  
Author(s):  
Colleen Mills-Finnerty ◽  
Catherine Hanson ◽  
Stephen J Hanson

In daily life we are often forced to choose between the “lesser of two evils,” yet there remains limited understanding of how the brain encodes choices between aversive stimuli, particularly choices involving hypothetical futures. We tested how choice framing affects brain activity and network connectivity by having participants make choices about individualized, aversive, hypothetical stimuli (i.e. illnesses, car accidents, etc.) under approach and avoidance frames (“which would you rather have/avoid”) during fMRI scanning. We tested whether limbic and frontal regions show patterns of signal intensity and network connectivity that differed by frame, and compared this to response to similar appetitive choices involving appetitive preferences (i.e. hobbies, vacation destinations). We predicted that regions such as the insula, amgydala, and striatum would respond differently to approach vs. avoidance choices during aversive hypothetical choices. We identified activations for both choice frames in areas broadly associated with decision making, including the putamen, insula, and anterior cingulate, as well as deactivations in areas shown to be sensitive to valence, including the amygdala, insula, prefrontal cortex, and hippocampus. Connectivity between brain regions differed based on choice frame, with greater connectivity among deactive regions including the amygdala, insula, and ventromedial prefrontal cortex during avoidance frames compared to approach frames. These differences suggest that approach and avoidance frames lead to different behavioral and brain network response when deciding which of two evils are the lesser.


2018 ◽  
Author(s):  
Colleen Mills-Finnerty ◽  
Catherine Hanson ◽  
Stephen J Hanson

In daily life we are often forced to choose between the “lesser of two evils,” yet there remains limited understanding of how the brain encodes choices between aversive stimuli, particularly choices involving hypothetical futures. We tested how choice framing affects brain activity and network connectivity by having participants make choices about individualized, aversive, hypothetical stimuli (i.e. illnesses, car accidents, etc.) under approach and avoidance frames (“which would you rather have/avoid”) during fMRI scanning. We tested whether limbic and frontal regions show patterns of signal intensity and network connectivity that differed by frame, and compared this to response to similar appetitive choices involving appetitive preferences (i.e. hobbies, vacation destinations). We predicted that regions such as the insula, amgydala, and striatum would respond differently to approach vs. avoidance choices during aversive hypothetical choices. We identified activations for both choice frames in areas broadly associated with decision making, including the putamen, insula, and anterior cingulate, as well as deactivations in areas shown to be sensitive to valence, including the amygdala, insula, prefrontal cortex, and hippocampus. Connectivity between brain regions differed based on choice frame, with greater connectivity among deactive regions including the amygdala, insula, and ventromedial prefrontal cortex during avoidance frames compared to approach frames. These differences suggest that approach and avoidance frames lead to different behavioral and brain network response when deciding which of two evils are the lesser.


2019 ◽  
Vol 30 (4) ◽  
pp. 2358-2371 ◽  
Author(s):  
Rebecca B Hughes ◽  
Jayde Whittingham-Dowd ◽  
Rachel E Simmons ◽  
Steven J Clapcote ◽  
Susan J Broughton ◽  
...  

Abstract 2p16.3 deletions, involving heterozygous NEUREXIN1 (NRXN1) deletion, dramatically increase the risk of developing neurodevelopmental disorders, including autism and schizophrenia. We have little understanding of how NRXN1 heterozygosity increases the risk of developing these disorders, particularly in terms of the impact on brain and neurotransmitter system function and brain network connectivity. Thus, here we characterize cerebral metabolism and functional brain network connectivity in Nrxn1α heterozygous mice (Nrxn1α+/− mice), and assess the impact of ketamine and dextro-amphetamine on cerebral metabolism in these animals. We show that heterozygous Nrxn1α deletion alters cerebral metabolism in neural systems implicated in autism and schizophrenia including the thalamus, mesolimbic system, and select cortical regions. Nrxn1α heterozygosity also reduces the efficiency of functional brain networks, through lost thalamic “rich club” and prefrontal cortex (PFC) hub connectivity and through reduced thalamic-PFC and thalamic “rich club” regional interconnectivity. Subanesthetic ketamine administration normalizes the thalamic hypermetabolism and partially normalizes thalamic disconnectivity present in Nrxn1α+/− mice, while cerebral metabolic responses to dextro-amphetamine are unaltered. The data provide new insight into the systems-level impact of heterozygous Nrxn1α deletion and how this increases the risk of developing neurodevelopmental disorders. The data also suggest that the thalamic dysfunction induced by heterozygous Nrxn1α deletion may be NMDA receptor-dependent.


2017 ◽  
Author(s):  
Colleen Mills-Finnerty ◽  
Catherine Hanson ◽  
Stephen J Hanson

In daily life we are often forced to choose between the “lesser of two evils,” yet there remains limited understanding of how the brain encodes choices between aversive stimuli, particularly choices involving hypothetical futures. We tested how choice framing affects brain activity and network connectivity by having participants make choices about individualized, aversive, hypothetical stimuli (i.e. illnesses, car accidents, etc.) under approach and avoidance frames (“which would you rather have/avoid”) during fMRI scanning. We tested whether limbic and frontal regions show patterns of signal intensity and network connectivity that differed by frame, and compared this to response to similar appetitive choices involving appetitive preferences (i.e. hobbies, vacation destinations). We predicted that regions such as the insula, amgydala, and striatum would respond differently to approach vs. avoidance choices during aversive hypothetical choices. We identified activations for both choice frames in areas broadly associated with decision making, including the putamen, insula, and anterior cingulate, as well as deactivations in areas shown to be sensitive to valence, including the amygdala, insula, prefrontal cortex, and hippocampus. Connectivity between brain regions differed based on choice frame, with greater connectivity among deactive regions including the amygdala, insula, and ventromedial prefrontal cortex during avoidance frames compared to approach frames. These differences suggest that approach and avoidance frames lead to different behavioral and brain network response when deciding which of two evils are the lesser.


Author(s):  
Moriah E. Thomason ◽  
Ava C. Palopoli ◽  
Nicki N. Jariwala ◽  
Denise M. Werchan ◽  
Alan Chen ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Peng Li ◽  
Teng-Teng Fan ◽  
Rong-Jiang Zhao ◽  
Ying Han ◽  
Le Shi ◽  
...  

2020 ◽  
Author(s):  
Xiangyun Long ◽  
Jiaxin Wu ◽  
Fei Liu ◽  
Ansi Qi ◽  
Nan Huang ◽  
...  

Abstract Childhood trauma is a central risk factor for schizophrenia. We explored the correlation between early traumatic experiences and the functional connectivity of resting-state networks. This fMRI study included 28 first-episode schizophrenia patients and 27 healthy controls. In first-episode schizophrenia patients, higher levels of childhood trauma associated with abnormal connections of resting-state networks, and these anomalies distributed among task-positive networks (i.e., ventral attention network, dorsal-ventral attention network and frontal-parietal network), and sensory networks (i.e., visual network and auditory network). These findings mentioned that childhood traumatic experiences may impact resting-state network connectivity in adulthood, mainly involving systems related to attention and execution control.


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