Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation

Seguin, Caio; Jedynak, Maciej; David, Olivier; Mansour, Sina; Sporns, Olaf; Zalesky, Andrew

doi:10.1016/j.neuron.2023.01.027

Cited by 36 publications

(34 citation statements)

References 112 publications

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“…Diffusive communication models were previously shown to explain SFC better in the brain and provide necessary redundancy in message passing despite contradicting the established economy of wiring in brain [17, 19, 28]. We have demonstrated that parallel communication when routed through a small subnetwork using subnet communicability explains SFC better than prior diffusive models while establishing a balance between redundancy and economy of brain.…”

Section: Discussionmentioning

confidence: 69%

Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork

Parlett,

Jeyapratap,

Shokoufandeh

et al. 2023

Preprint

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One of the fundamental challenges in modern neuroscience is understanding the interplay between the brain's functional activity and its underlying structural pathways. To address this question, we propose a novel communication pattern called subnet communicability, which models diffusive communication between pairs of regions through a small, intermediary subnetwork of brain regions as opposed to spreading messages through the entire network. We demonstrate that subnet communicability strengthens coupling between the structural and functional connectomes better than previous models, including communicability. Over two large datasets, we show that the optimal subnetwork is consistent across the population. Subnet communicability provides new insights into structure-function coupling in the brain and offers a balance between redundancy in message passing and economy of brain wiring.

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Section: Discussionmentioning

confidence: 69%

Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork

Parlett,

Jeyapratap,

Shokoufandeh

et al. 2023

Preprint

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“…Connectomes facilitate communication among neural elements. Therefore, connectome architecture plays a crucial role in shaping communication patterns [48, 49]. Here, we estimated communication capacity between every pair of nodes, i and j , based on three putative communication policies:…”

Section: Rich-club Analysismentioning

confidence: 99%

Hierarchical communities in the larvalDrosophilaconnectome: Links to cellular annotations and network topology

Betzel,

Puxeddu,

Seguin

2023

Preprint

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One of the longstanding aims of network neuroscience is to link a connectome’s topological properties–i.e. features defined from connectivity alone–with an organism’s neurobiology. One approach for doing so is to compare connectome properties with maps of metabolic, functional, and neurochemical annotations. This type of analysis is popular at the meso-/macro-scale, but is less common at the nano-scale, owing to a paucity of neuron-level connectome data. However, recent methodological advances have made possible the reconstruction of whole-brain connectomes at single-neuron resolution for a select set of organisms. These include the fruit fly,Drosophila melanogaster, and its developing larvae. In addition to fine-scale descriptions of neuron-to-neuron connectivity, these datasets are accompanied by rich annotations, documenting cell type and function. Here, we use a hierarchical and weighted variant of the stochastic blockmodel to detect multi-level communities in a recently published larvalDrosophilaconnectome. We find that these communities neatly partition neurons based on function and cell type. We find that communities mostly interact assortatively, reflecting the principle of functional segregation. However, a small number of communities interact non-assortatively. The neurons that make up these communities also form a “rich-club”, composed mostly of interneurons that receive sensory/ascending inputs and deliver outputs along descending pathways. Next, we investigate the role of community structure in shaping neuron-to-neuron communication patterns. We find that polysynaptic signaling follows specific trajectories across modular hierarchies, with interneurons playing a key role in mediating communication routes between modules and hierarchical scales. Our work suggests a strong relationship between the system-level architecture of an organism’s complete neuronal wiring network and the precise biological function and classification of its individual neurons. We envision our study as an important step towards bridging the gap between complex systems and neurobiological lines of investigation in brain sciences.

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“…Synaptic plasticity refers to the capacity of synapses to undergo long-term potentiation or long-term depression, which involves alterations in neurotransmitter concentrations and receptor sensitivities. 149 These changes play a crucial role in the strengthening or weakening of synapses over time. The aforementioned processes are fundamental to the acquisition of knowledge and the establishment of memory, hence playing a crucial role in the adaptive functioning of neural networks.…”

Section: Synaptic Transmission and The Functioning Of Brain Networkmentioning

confidence: 99%

Computing of neuromorphic materials: an emerging approach for bioengineering solutions

Prakash,

Gupta,

Mehta

et al. 2023

Mater. Adv.

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Communication dynamics in the human connectome shape the cortex-wide propagation of direct electrical stimulation

Cited by 36 publications

References 112 publications

Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork

Subnet Communicability: Diffusive Communication Across the Brain Through a Backbone Subnetwork

Hierarchical communities in the larvalDrosophilaconnectome: Links to cellular annotations and network topology

Computing of neuromorphic materials: an emerging approach for bioengineering solutions

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