Network neuroscience

Nature Neuroscience, Journal Year: 2017, Volume and Issue: 20(3), P. 353 - 364

Published: Feb. 23, 2017

Language: Английский

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Small-World Brain Networks Revisited

The Neuroscientist, Journal Year: 2016, Volume and Issue: 23(5), P. 499 - 516

Published: Sept. 21, 2016

It is nearly 20 years since the concept of a small-world network was first quantitatively defined, by combination high clustering and short path length; about 10 this metric complex topology began to be widely applied analysis neuroimaging other neuroscience data as part rapid growth new field connectomics. Here, we review briefly foundational concepts graph theoretical estimation generation networks. We take stock some key developments in past decade consider detail implications recent studies using high-resolution tract-tracing methods map anatomical networks macaque mouse. In doing so, draw attention important methodological distinction between topological binary or unweighted graphs, which have provided popular but simple approach brain past, weighted retain more biologically relevant information are appropriate increasingly sophisticated on connectivity emerging from contemporary imaging studies. conclude highlighting possible future trends further development small-worldness deeper broader understanding functional value strong weak links areas mammalian cortex.

Language: Английский

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Multi-scale brain networks

NeuroImage, Journal Year: 2016, Volume and Issue: 160, P. 73 - 83

Published: Nov. 11, 2016

The network architecture of the human brain has become a feature increasing interest to neuroscientific community, largely because its potential illuminate cognition, variation over development and aging, alteration in disease or injury. Traditional tools approaches study this have focused on single scales-of topology, time, space. Expanding beyond narrow view, we focus review pertinent questions novel methodological advances for multi-scale brain. We separate our exposition into content related topological structure, temporal spatial structure. In each case, recount empirical evidence such structures, survey network-based reveal these outline current frontiers open questions. Although predominantly peppered with examples from neuroimaging, hope that account will offer an accessible guide any neuroscientist aiming measure, characterize, understand full richness brain's multiscale structure-irrespective species, imaging modality, resolution.

Language: Английский

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The physics of brain network structure, function and control

Nature Reviews Physics, Journal Year: 2019, Volume and Issue: 1(5), P. 318 - 332

Published: March 27, 2019

Language: Английский

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Cliques and cavities in the human connectome

Journal of Computational Neuroscience, Journal Year: 2017, Volume and Issue: 44(1), P. 115 - 145

Published: Nov. 16, 2017

Encoding brain regions and their connections as a network of nodes edges captures many the possible paths along which information can be transmitted humans process perform complex behaviors. Because cognitive processes involve large, distributed networks areas, principled examinations multi-node routes within larger connection patterns offer fundamental insights into complexities function. Here, we investigate both densely connected groups that could local computations well interactions would allow for parallel processing. Finding such structures necessitates move from considering exclusively pairwise to capturing higher order relations, concepts naturally expressed in language algebraic topology. These tools used study mesoscale arise arrangement substructures called cliques otherwise sparsely networks. We detect (all-to-all sets regions) average structural connectomes 8 healthy adults scanned triplicate discover presence more large than expected null constructed via wiring minimization, providing architecture through rapid, then locate topological cavities different dimensions, around may flow either diverging or converging patterns. exist consistently across subjects, differ those observed model networks, – importantly link early late evolutionary origin long loops, underscoring unique role controlling results first demonstration techniques topology novel perspective on connectomics, highlighting loop-like crucial features human brain's architecture.

Language: Английский

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Network Neuroscience Theory of Human Intelligence

Trends in Cognitive Sciences, Journal Year: 2017, Volume and Issue: 22(1), P. 8 - 20

Published: Nov. 21, 2017

TrendsAccumulating evidence from network neuroscience indicates that g depends on the dynamic reorganization of brain networks, modifying their topology and community structure in service system-wide flexibility adaptation.Whereas crystallized intelligence engages easy-to-reach states access prior knowledge experience, fluid recruits difficult-to-reach support cognitive adaptive problem-solving.The capacity to flexibly transition between networks therefore provides basis for – enabling rapid information exchange across capturing individual differences processing at a global level.This framework sets stage new approaches understanding neural foundations g, examining dynamics.AbstractAn enduring aim research psychological sciences is understand nature human intelligence, stunning breadth diversity intellectual abilities remarkable neurobiological mechanisms which they arise. This Opinion article surveys recent elucidate how general emerges architecture brain. The reviewed findings motivate insights about dynamics account represented by Network Neuroscience Theory. According this framework, small-world its adaptation.

Language: Английский

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Injured Brains and Adaptive Networks: The Benefits and Costs of Hyperconnectivity

Trends in Cognitive Sciences, Journal Year: 2017, Volume and Issue: 21(5), P. 385 - 401

Published: April 1, 2017

Language: Английский

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Functional alignment with anatomical networks is associated with cognitive flexibility

Nature Human Behaviour, Journal Year: 2017, Volume and Issue: 2(2), P. 156 - 164

Published: Dec. 15, 2017

Language: Английский

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Developmental increases in white matter network controllability support a growing diversity of brain dynamics

Nature Communications, Journal Year: 2017, Volume and Issue: 8(1)

Published: Oct. 26, 2017

As the human brain develops, it increasingly supports coordinated control of neural activity. The mechanism by which white matter evolves to support this coordination is not well understood. We use a network representation diffusion imaging data from 882 youth ages 8 22 show that connectivity becomes optimized for diverse range predicted dynamics in development. Notably, stable controllers subcortical areas are negatively related cognitive performance. Investigating structural mechanisms supporting these changes, we simulate evolution with set growth rules. find all networks structured manner highly control, distinct child versus older youth. demonstrate our results cannot be simply explained changes modularity. This work reveals possible development preferentially optimizes dynamic over static architecture.

Language: Английский

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Optimal trajectories of brain state transitions

NeuroImage, Journal Year: 2017, Volume and Issue: 148, P. 305 - 317

Published: Jan. 11, 2017

The complexity of neural dynamics stems in part from the underlying anatomy. Yet how white matter structure constrains brain transitions one cognitive state to another remains unknown. Here we address this question by drawing on recent advances network control theory model mechanisms as elicited collective region sets. We find that previously identified attention and executive systems are poised affect a broad array cannot easily be classified traditional engineering-based notions control. This theoretical versatility comes with vulnerability injury. In patients mild traumatic injury, observe loss specificity putative processes, suggesting greater susceptibility neurophysiological noise. These results offer fundamental insights into driving healthy cognition their alteration following

Language: Английский

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