Network Neuroscience Theory of Human Intelligence

Barbey, Aron K.

doi:10.1016/j.tics.2017.10.001

Cited by 273 publications

(281 citation statements)

References 100 publications

(144 reference statements)

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“…Notably, these results were predicted from two different populations where loss of from information in unconsciousness suggested a common mechanism for information processing during conscious cognition. Consistent with a recent emerging view in the field 75 , they suggested that individual differences in intellectual abilities rely on the dynamic reconfigurations of connectivity in response to incoming sensory information 76 , within a widespread system comprising sensory-specific and extra-modal cortices in fronto-parietal cortex.…”

Section: Discussionsupporting

confidence: 69%

Functional diversity of brain networks supports consciousness and verbal intelligence

Naçi

Haugg

MacDonald

et al. 2018

Sci Rep

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How are the myriad stimuli arriving at our senses transformed into conscious thought? To address this question, in a series of studies, we asked whether a common mechanism underlies loss of information processing in unconscious states across different conditions, which could shed light on the brain mechanisms of conscious cognition. With a novel approach, we brought together for the first time, data from the same paradigm—a highly engaging auditory-only narrative—in three independent domains: anesthesia-induced unconsciousness, unconsciousness after brain injury, and individual differences in intellectual abilities during conscious cognition. During external stimulation in the unconscious state, the functional differentiation between the auditory and fronto-parietal systems decreased significantly relatively to the conscious state. Conversely, we found that stronger functional differentiation between these systems in response to external stimulation predicted higher intellectual abilities during conscious cognition, in particular higher verbal acuity scores in independent cognitive testing battery. These convergent findings suggest that the responsivity of sensory and higher-order brain systems to external stimulation, especially through the diversification of their functional responses is an essential feature of conscious cognition and verbal intelligence.

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Section: Discussionsupporting

confidence: 69%

Functional diversity of brain networks supports consciousness and verbal intelligence

Naçi

Haugg

MacDonald

et al. 2018

Sci Rep

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“…The research conducted in the present study is unique and complements prior research conducted from this cohort (Zamroziewicz & Barbey, 2016, 2018Zamroziewicz et al, 2015Zamroziewicz, Paul, et al, 2017a, 2016aZamroziewicz, Talukdar, Zwilling, & Barbey, 2017b;Zamroziewicz, Zwilling, & Barbey, 2016b). The research conducted in the present study is unique and complements prior research conducted from this cohort (Zamroziewicz & Barbey, 2016, 2018Zamroziewicz et al, 2015Zamroziewicz, Paul, et al, 2017a, 2016aZamroziewicz, Talukdar, Zwilling, & Barbey, 2017b;Zamroziewicz, Zwilling, & Barbey, 2016b).…”

Section: Study Participantsmentioning

confidence: 58%

“…PUFAs on brain and cognition in elderly adults (Bos, van Montfort, Oranje, Durston, & Smeets, 2016;Kobe et al, 2016;McNamara, Asch, Lindquist, & Krikorian, 2018;Zamroziewicz, Paul, Rubin, & Barbey, 2015;Zamroziewicz, Paul, Zwilling, & Barbey, 2017a, 2018Zwilling et al, in press). This literature provides evidence for structural changes in gray matter volume within brain regions widely implicated in executive functions (frontal and parietal cortex), episodic memory (hippocampus), and emotion (amygdala).…”

mentioning

confidence: 99%

“…In particular, brain regions representing sources of inter-individual variability are likely to exhibit differential network connectivity across the connectome-providing an index of global brain network influence that may predict cognitive performance (Barbey, 2018). In particular, brain regions representing sources of inter-individual variability are likely to exhibit differential network connectivity across the connectome-providing an index of global brain network influence that may predict cognitive performance (Barbey, 2018).…”

mentioning

confidence: 99%

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Nutrient biomarkers shape individual differences in functional brain connectivity: Evidence from omega‐3 PUFAs

Talukdar

Zamroziewicz

Zwilling

et al. 2018

Human Brain Mapping

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A wealth of neuroscience evidence demonstrates that diet and nutrition play an important role in structural brain plasticity, promoting the development of gray matter volume and maintenance of white matter integrity across the lifespan. However, the role of nutrition in shaping individual differences in the functional brain connectome remains to be well established. We therefore investigated whether nutrient biomarkers known to have beneficial effects on brain structure (i.e., the omega‐3 polyunsaturated fatty acids; ω‐3 PUFAs), explain individual differences in functional brain connectivity within healthy older adults (N = 96). Our findings demonstrate that ω‐3 PUFAs are associated with individual differences in functional connectivity within regions that support executive function (prefrontal cortex), memory (hippocampus), and emotion (amygdala), and provide key evidence that the influence of these regions on global network connectivity reliably predict general, fluid, and crystallized intelligence. The observed findings not only elucidate the role of ω‐3 PUFAs in functional brain plasticity and intelligence, but also motivate future studies to examine their impact on psychological health, aging, and disease.

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“…However, this suggestion needs to be tested empirically by studies investigating dynamic changes in network organization that occur during the switch from rest into task. The proposal of Barbey () postulates further that the superior “ability” of more intelligent people to adaptively form task‐specific network configurations results from differences in intrinsic small‐world network attributes, specifically, in global network integration or global network segregation levels measured in static functional brain networks (Girn et al, ). Contrasting this view, we observed no relation between global modularity and intelligence in static, time‐averaged network metrics (see also Hilger et al, ).…”

Section: Discussionmentioning

confidence: 99%

Temporal stability of functional brain modules associated with human intelligence

Hilger

Fukushima

Sporns

et al. 2019

Human Brain Mapping

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Individual differences in general cognitive ability (i.e., intelligence) have been linked to individual variations in the modular organization of functional brain networks.However, these analyses have been limited to static (time-averaged) connectivity, and have not yet addressed whether dynamic changes in the configuration of brain networks relate to general intelligence. Here, we used multiband functional MRI resting-state data (N = 281) and estimated subject-specific time-varying functional connectivity networks. Modularity optimization was applied to determine individual time-variant module partitions and to assess fluctuations in modularity across time.We show that higher intelligence, indexed by an established composite measure, the Wechsler Abbreviated Scale of Intelligence (WASI), is associated with higher temporal stability (lower temporal variability) of brain network modularity. Post-hoc analyses reveal that subjects with higher intelligence scores engage in fewer periods of extremely high modularitywhich are characterized by greater disconnection of task-positive from task-negative networks. Further, we show that brain regions of the dorsal attention network contribute most to the observed effect. In sum, our study suggests that investigating the temporal dynamics of functional brain network topology contributes to our understanding of the neural bases of general cognitive abilities.

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Network Neuroscience Theory of Human Intelligence

Cited by 273 publications

References 100 publications

Functional diversity of brain networks supports consciousness and verbal intelligence

Functional diversity of brain networks supports consciousness and verbal intelligence

Nutrient biomarkers shape individual differences in functional brain connectivity: Evidence from omega‐3 PUFAs

Temporal stability of functional brain modules associated with human intelligence

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